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Designs, builds, and deploys AI-powered agents and workflows to automate marketing operations, integrates AI tools into the GTM tech stack, and measures business impact.
NOTE: This is a FULLY remote role, but the candidate must be within Europe to collaborate with their team, peers, and internal customers. You do not have to be in the specific country or city shown in this listing, but please only apply if you are physically based within Europe.
Trusted by 20,000+ property managers worldwide, Hostaway is an industry leading, AI-powered vacation rental management platform designed for professional short-term rental operators. Hostaway brings everything together for greater efficiency and faster growth.
Profitable, high-growth, and the first short-term rental PMS unicorn 🦄. Join us at our most exciting stage yet! Learn more about our recent valuation and story here.
Hostaway is looking for a Lead AI GTM Engineer to build the systems, workflows, and AI-powered tools that make our global marketing team faster, smarter, and more effective.
This is a senior individual contributor role for someone who combines deep technical expertise with a strong understanding of how modern marketing teams operate. You will work across Brand, Content, Demand Generation, Product Marketing, and Marketing Operations to identify where AI can improve performance, reduce manual work, and increase the quality and speed of execution.
You will decide where to buy, build, or automate; design and deploy agents and workflows; integrate AI into our marketing technology stack; and measure whether those solutions improve marketing performance and ROI.
This role requires both strategic thinking and hands-on execution. You should be equally comfortable mapping a complex GTM workflow, evaluating a new AI platform, building an agent, connecting systems through APIs, and explaining the business impact to senior marketing leaders.
Design, build, and deploy AI-powered solutions, including agents, multi-step workflows, automations, and internal tools that solve real marketing problems.
Own build-vs-buy decisions by evaluating emerging AI and GTM platforms, testing their capabilities, and determining when to implement an existing solution versus build something custom.
Integrate AI agents and workflows with our marketing platforms, data sources, APIs, and internal systems.
Establish AI evaluation and quality standards by testing accuracy, reliability, and output quality and continuously improving production workflows.
Optimize the economics of AI across token usage, API consumption, software costs, infrastructure, and human effort.
Stay ahead of emerging models, agent frameworks, platforms, and approaches, turning the most promising developments into practical advantages for Hostaway.
Full-stack builder: Past engineering experience required, and you can independently design, build, deploy, and maintain AI-powered applications, agents, and multi-step workflows.
AI engineering expertise: Y ou have built AI agents and agentic workflows that have measurably improved team performance. This requires you to be comfortable working across models, APIs, orchestration frameworks, and coding environments such as Claude Code or similar tools.
AI platform fluency: You have hands-on experience evaluating and implementing emerging AI and GTM platforms such as Qualified, Clay, Jasper, Copy.ai, HubSpot Breeze, or similar tools, and you can quickly determine if they solve real-world business problems.
Platform integration expertise: You know how to connect systems. You have hands-on experience integrating platforms such as HubSpot, Salesforce, Meta, Google, and LinkedIn and creating reliable data flows between them.
GTM fluency: You understand how modern B2B marketing works across brand, content, demand generation, product marketing, and marketing operations, and how those teams work together across the buyer journey and funnel.
Strong economic judgment: You understand the cost of automation and can evaluate tradeoffs between human effort, purchased software, API consumption, infrastructure, and token usage to choose the most efficient solution.
Data acquisition expertise: You are comfortable using APIs, web scraping, and other methods to turn external data into structured inputs for marketing, competitive intelligence, targeting, and automation.
Able to navigate ambiguity: You can identify the highest-impact opportunities, make pragmatic decisions with incomplete information, and move quickly from idea to working solution without needing heavy process or a large team.
Competitive Compensation: We offer competitive pay based on market rates in the country of the applicant.
100% Remote: Enjoy the freedom to work from anywhere within your country of residence—be it a co-working space, your home office, or even your dining room table. The choice is yours. Just don’t ask to work in our office (we don’t have one).
Equity: Every role in our company comes with valuable stock options in a fast-growing and profitable company. This ensures we all share in the company’s success.
Values-Driven Leadership: Our Core Values are not just words we’ve written to make us feel good. We leverage them daily when making strategic and tactical decisions.
Professional Growth: Our rapid growth offers unparalleled learning and development opportunities, along with a multitude of career advancement opportunities.
Annual Paid Leave: The specific amounts vary by country and are aligned with country and/or contract-specific norms.
Geographic Specific Benefits: As an international employer, we offer different country-specific benefits such as Health Insurance and Pensions in countries where these perks are customary. The specifics depend on the country of the applicant.
Dynamic Team Culture: As a global company with team members in over 40 countries, our diverse and international culture fuels our innovation and creativity, providing a key pillar to our success (and making it a lot of fun to work here).
Thank you for your interest. If you apply for this role, you will receive an email from our Talent Acquisition team after your application has been reviewed alongside the qualifications for this role and the qualifications of others who have applied.
Designs, builds, and deploys AI-powered agents and workflows to automate marketing operations and GTM processes across the marketing technology stack.
NOTE: This is a FULLY remote role, but the candidate must be within Europe to collaborate with their team, peers, and internal customers. You do not have to be in the specific country or city shown in this listing, but please only apply if you are physically based within Europe.
Trusted by 20,000+ property managers worldwide, Hostaway is an industry leading, AI-powered vacation rental management platform designed for professional short-term rental operators. Hostaway brings everything together for greater efficiency and faster growth.
Profitable, high-growth, and the first short-term rental PMS unicorn 🦄. Join us at our most exciting stage yet! Learn more about our recent valuation and story here.
Hostaway is looking for a Lead AI GTM Engineer to build the systems, workflows, and AI-powered tools that make our global marketing team faster, smarter, and more effective.
This is a senior individual contributor role for someone who combines deep technical expertise with a strong understanding of how modern marketing teams operate. You will work across Brand, Content, Demand Generation, Product Marketing, and Marketing Operations to identify where AI can improve performance, reduce manual work, and increase the quality and speed of execution.
You will decide where to buy, build, or automate; design and deploy agents and workflows; integrate AI into our marketing technology stack; and measure whether those solutions improve marketing performance and ROI.
This role requires both strategic thinking and hands-on execution. You should be equally comfortable mapping a complex GTM workflow, evaluating a new AI platform, building an agent, connecting systems through APIs, and explaining the business impact to senior marketing leaders.
Design, build, and deploy AI-powered solutions, including agents, multi-step workflows, automations, and internal tools that solve real marketing problems.
Own build-vs-buy decisions by evaluating emerging AI and GTM platforms, testing their capabilities, and determining when to implement an existing solution versus build something custom.
Integrate AI agents and workflows with our marketing platforms, data sources, APIs, and internal systems.
Establish AI evaluation and quality standards by testing accuracy, reliability, and output quality and continuously improving production workflows.
Optimize the economics of AI across token usage, API consumption, software costs, infrastructure, and human effort.
Stay ahead of emerging models, agent frameworks, platforms, and approaches, turning the most promising developments into practical advantages for Hostaway.
Full-stack builder: Past engineering experience required, and you can independently design, build, deploy, and maintain AI-powered applications, agents, and multi-step workflows.
AI engineering expertise: Y ou have built AI agents and agentic workflows that have measurably improved team performance. This requires you to be comfortable working across models, APIs, orchestration frameworks, and coding environments such as Claude Code or similar tools.
AI platform fluency: You have hands-on experience evaluating and implementing emerging AI and GTM platforms such as Qualified, Clay, Jasper, Copy.ai, HubSpot Breeze, or similar tools, and you can quickly determine if they solve real-world business problems.
Platform integration expertise: You know how to connect systems. You have hands-on experience integrating platforms such as HubSpot, Salesforce, Meta, Google, and LinkedIn and creating reliable data flows between them.
GTM fluency: You understand how modern B2B marketing works across brand, content, demand generation, product marketing, and marketing operations, and how those teams work together across the buyer journey and funnel.
Strong economic judgment: You understand the cost of automation and can evaluate tradeoffs between human effort, purchased software, API consumption, infrastructure, and token usage to choose the most efficient solution.
Data acquisition expertise: You are comfortable using APIs, web scraping, and other methods to turn external data into structured inputs for marketing, competitive intelligence, targeting, and automation.
Able to navigate ambiguity: You can identify the highest-impact opportunities, make pragmatic decisions with incomplete information, and move quickly from idea to working solution without needing heavy process or a large team.
Competitive Compensation: We offer competitive pay based on market rates in the country of the applicant.
100% Remote: Enjoy the freedom to work from anywhere within your country of residence—be it a co-working space, your home office, or even your dining room table. The choice is yours. Just don’t ask to work in our office (we don’t have one).
Equity: Every role in our company comes with valuable stock options in a fast-growing and profitable company. This ensures we all share in the company’s success.
Values-Driven Leadership: Our Core Values are not just words we’ve written to make us feel good. We leverage them daily when making strategic and tactical decisions.
Professional Growth: Our rapid growth offers unparalleled learning and development opportunities, along with a multitude of career advancement opportunities.
Annual Paid Leave: The specific amounts vary by country and are aligned with country and/or contract-specific norms.
Geographic Specific Benefits: As an international employer, we offer different country-specific benefits such as Health Insurance and Pensions in countries where these perks are customary. The specifics depend on the country of the applicant.
Dynamic Team Culture: As a global company with team members in over 40 countries, our diverse and international culture fuels our innovation and creativity, providing a key pillar to our success (and making it a lot of fun to work here).
Thank you for your interest. If you apply for this role, you will receive an email from our Talent Acquisition team after your application has been reviewed alongside the qualifications for this role and the qualifications of others who have applied.
Drives organizational AI adoption through change management, enablement programs, and integration of AI tools into business processes and workflows.
Blue Acorn iCi is seeking an AI Enablement Lead to drive the adoption of AI tools and AI-enabled ways of working across our organization. This role serves as the bridge between AI strategy and day-to-day execution, partnering closely with leadership and cross-functional teams to embed AI into delivery, operations, and business processes.
The AI Enablement Lead will be responsible for designing and executing scalable enablement programs, creating role-based learning experiences, measuring organizational adoption, and helping teams confidently integrate AI into their daily work. Success in this role requires strong change management, communication, and program leadership skills, along with practical experience using modern AI tools in a professional services environment.
This role will also play a critical part in transforming internal AI successes into reusable intellectual property, accelerators, best practices, and client-facing offerings that help expand Blue Acorn iCi’s AI capabilities.
Location: Remote - United States
The base salary range for this position is $145,000 – $185,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.
About Blue Acorn iCi
Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.
Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.
Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.
Why Join Us?
Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.
Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.
If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.
***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***
Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!
Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.
Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.
California applicants: Please click here for CCPA disclosures.
Drives AI adoption across the organization by developing enablement programs, building training curricula, managing change initiatives, and embedding AI workflows into business processes.
Blue Acorn iCi is seeking an AI Enablement Lead to drive the adoption of AI tools and AI-enabled ways of working across our organization. This role serves as the bridge between AI strategy and day-to-day execution, partnering closely with leadership and cross-functional teams to embed AI into delivery, operations, and business processes.
The AI Enablement Lead will be responsible for designing and executing scalable enablement programs, creating role-based learning experiences, measuring organizational adoption, and helping teams confidently integrate AI into their daily work. Success in this role requires strong change management, communication, and program leadership skills, along with practical experience using modern AI tools in a professional services environment.
This role will also play a critical part in transforming internal AI successes into reusable intellectual property, accelerators, best practices, and client-facing offerings that help expand Blue Acorn iCi’s AI capabilities.
Location: Remote - United States
The base salary range for this position is $145,000 – $185,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.
About Blue Acorn iCi
Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.
Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.
Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.
Why Join Us?
Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.
Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.
If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.
***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***
Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!
Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.
Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.
California applicants: Please click here for CCPA disclosures.
Leads a team building and managing Vanta's internal AI platform infrastructure, including access controls, cost management, and governance for company-wide AI tool adoption.
At Vanta, our mission is to help businesses earn and prove trust.We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.
Vanta’s Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. AI is now central to how that happens, and this role leads the team that owns the backbone underneath it.
Corporate Engineering owns the shared AI platform for Vanta’s internal systems: identity and access for AI tools, cost visibility and controls, sanctioned tooling and guardrails, and the enablement that helps people use those tools well. We do not own product AI, which stays with Engineering, and we do not replace the AI work happening inside individual departments. We build the engineering layer that makes all of it safer, cheaper, and better supported.
The company has moved fast. AI assistant use is widespread across every function, MCP infrastructure is live and self-serve company-wide, internal apps ship on a hosted platform, and AI spend has grown to the point where attribution and guardrails genuinely matter. What does not exist yet is a single owner for that platform layer. That is this role.
As Sr. Manager, AI Engineering, you will lead a small, senior team, write the charter for what Corporate Engineering owns versus enables, and build the platform that lets the rest of Vanta adopt AI quickly without accumulating cost, risk, or duplication.
What you’ll do as a Senior Manager, AI Corporate Engineering at Vanta:
Lead, coach, and grow a senior team spanning platform engineering and technical program management. Set clear direction, hold a high bar, and give the team explicit permission to push back with data.
Own the AI access layer end to end: identity and authentication for AI tools, connector and integration allowlisting, tiered permissions by function, and guardrails that make adoption safe by default rather than safe by exception.
Own AI cost engineering. Build attribution down to team and individual, right-size model selection to actual need, make agent and automation spend traceable, and set budget thresholds and alerting in partnership with Finance.
Own the MCP layer for internal tools end to end, including commissioning, decommissioning, governance, and the downstream impact assessment that has to happen before a migration ships rather than after it breaks.
Own the paved path for internal applications: a golden-path deployment pattern, sensible defaults including private-by-default, lifecycle and decommissioning policy so unused apps retire themselves, and a build-versus-buy framework that keeps people from rebuilding tools we already own.
Build the enablement layer that turns adoption into impact: a skills and agent registry that cuts duplication, an evaluation framework for internal AI usage, and technical enablement on sanctioned tools that goes beyond provisioning access.
Write and hold the charter. Define what Corporate Engineering owns, what it enables, and how work enters the team, then convene the cross-functional forum that keeps departmental AI efforts coordinated rather than duplicated.
Partner across Engineering, GRC, Security, Data, Finance, and People. Several of the levers this role depends on sit in those organizations, so the job is to coordinate and influence rather than override.
How to be successful in this role:
Experience standing up an internal AI or developer platform function rather than inheriting a mature one. You have written the charter, defined intake, and built the roadmap from a blank page.
The ability to hold scope. You can take a commitment that was made without scoping or resourcing, land a bounded first version, and decline the rest without it reading as abdication.
Fluency in AI cost engineering: usage attribution, model right-sizing, token economics, agent cost traceability, and the difference between a hard limit and a useful guardrail.
An enablement-first instinct. Your default question is how to make something safe to self-serve. When you do have to decline access, you always explain why and offer an alternative path to the same visibility.
Hands-on technical depth across LLM platform tooling, agent and MCP architecture, identity and OAuth, CI/CD, and infrastructure as code. Enough to review a design honestly and tell the difference between real risk and reported progress.
Comfort building for an audience that is no longer only engineers. A growing share of the people shipping internal tools are not developers, and the platform has to work for them without lowering the security bar.
Data governance fluency in a regulated environment. You know what should never enter a prompt, a repository, or a third-party tool, and you can make that judgment fast without becoming the bottleneck.
Comfort operating through influence. Product AI, security policy, data platform, and budget authority all sit in partner organizations.
8+ years in platform, infrastructure, or systems engineering, including 3+ years managing and developing engineers, ideally at a company that scaled through a significant headcount inflection.
Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
Open to using AI to amplify their skills and strengthen their work, demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
What you can expect as a Vanta’n:
Industry-competitive salary and equity
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits
Matching 401(k) contribution with immediate vesting
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays
Virtual team building activities, lunch and learns, and other company-wide events!
Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.
#LI-remote
At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.
About Vanta
We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world’s leading Trust Management Platform, our vision remains unchanged.
Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that’s real-time and transparent.
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Director leads AI implementation engagements with legal clients, owns strategy, configures AI systems, and works hands-on with teams to deploy production solutions.
Harbor Labs is a new team within Harbor focused on solving hard AI implementation problems in the legal market. We have strong hypotheses about what works, but we’re building this like a startup: learning as we go, adjusting direction based on what the market tells us, and staying flexible about how we operate.
We’re looking for a Director of AI Engagements to lead our most important client relationships and set the strategy for how we deploy AI in production. This is a senior role for someone who can sit across the table from a GC or COO, shape the direction of an engagement, and then roll up their sleeves and build alongside the team to deliver it.
This is a leadership role, but not a hands-off one. You’ll own the strategy for your engagements and stay close enough to the work to configure systems, pressure-test outputs, and make the calls that determine whether AI actually sticks in a client’s day-to-day.
What Makes This Different:
Our edge is combining deep legal domain experience with product sensibility and strong engineering. We understand how legal teams actually work, what change management looks like in risk-averse environments, and how to build software that people will use. We also know the common pitfalls of enterprise software in traditionally low-innovation areas like law, and we’re determined to avoid them.
We focus on hard, novel problems where standard platforms fall short. The work is ambiguous, the solutions aren’t obvious, and that’s the point. As a senior leader here, you set the bar for how we approach those problems and how we show up with clients.
Nice to Have:
Why Harbor Labs:
We’re a small, senior team working on hard problems with clients who are serious about deploying AI in production. The work is hands-on, the ownership is real, and the leadership you exercise here will directly shape what this team becomes.This is early. You’ll have meaningful input into the strategy, the team, and what Harbor Labs grows into.
How to Apply:
Send us a note about why this role interests you and an engagement or initiative you led that you’re proud of, ideally one where you set the strategy and stayed close to the work. Examples and references matter more to us than a polished resume.
About Us:
Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 900+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem.
Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.
Leads end-to-end AI/ML solution architecture and deployment for enterprise clients, managing model lifecycle from design through production operations and optimization.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value for our clients. You will take full ownership of strategic AI/ML projects from vision and solution design through deployment and ongoing optimization, ensuring that models can be trained, tuned, and operated reliably using client data. You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers, platform/DevOps teams, and business stakeholders to deliver high-quality solutions and advance phData’s delivery excellence.
Key Responsibilities
Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts, ensuring reliable model deployment, retraining, monitoring, and production operations that create clear business impact.
Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures, defining the environments, data flows, and infrastructure required for model development, training, tuning, and serving.
Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews, to align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards.
Ensure the quality, reliability, and observability of AI/ML solutions through robust testing strategies, documentation, monitoring, and governance that meet security, compliance, and performance expectations.
Contribute to and leverage reusable assets such as reference architectures, accelerators, templates, and playbooks, while mentoring team members and partnering with Sales and account leadership to grow strategic AI/ML engagements.
About You
You are a customer-obsessed technical leader and consultant who enjoys solving complex data and AI/ML challenges while building trusted relationships with clients. You are equally comfortable discussing architecture with executives and diving deep into code, infrastructure, and data pipelines with engineering teams. You thrive in an outcomes-driven environment, manage multiple work streams with ease, and bring a blend of strong engineering skills, strategic thinking, and excellent communication to every engagement. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.
Required Qualifications
Experience
Technical / Functional Skills
Strong proficiency in a modern programming language such as Python (or similar) for building production-grade data and ML solutions, including experience designing and integrating APIs and services that expose ML models.
Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL and experience writing, debugging, and optimizing complex and distributed queries.
Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.
Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP, and how they integrate into analytical and ML environments.
Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms (e.g., AWS, Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability.
End-to-end software development lifecycle experience (design, documentation, implementation, testing, deployment, and ongoing operations) for data and ML solutions, including model deployment, monitoring, and lifecycle management.
Education - If desired
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
Experience with cloud and data ecosystem technologies such as Spark, Databricks, Snowflake, AWS, Azure, or GCP in the context of building and operating AI/ML solutions.
Experience working with data science and machine learning libraries and frameworks such as H2O, TensorFlow, Keras, scikit-learn, or similar.
Experience with containerization and orchestration technologies such as Docker and Kubernetes, and with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow for enterprise-scale ML.
Background in consulting or professional services, including pre-sales, project scoping, and strategic advisory work for data and AI/ML initiatives.
Contributions to technical communities, open source projects, public speaking, writing, or other relevant side projects demonstrating thought leadership in data and AI/ML.
Why phData?
Benefits at phData
US:
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Designs and builds data and AI systems architecture, manages AI agents and services at scale, and leads technical execution across the data and AI domain.
About TRG
TRG is on a mission to make the world a safer place. We build AI and data fusion solutions that help government agencies and national security organisations connect intelligence from across domains - cyber, physical, financial, and location - and turn it into decisions that protect people. The work is meaningful, the problems are hard, and the impact is real.
About the Role
We’re looking for a Data & AI Technical Lead to work closely with our Principal Data Engineer - taking ownership of technical design and architecture across data and AI systems, and acting as a reliable force multiplier for the team. This is a hands-on role - you design and you build.
The scope spans the full data and AI layer: how data flows between systems, how it is shaped for AI consumption, how agents and services are architected to work together reliably at scale. You’ll work in close partnership with the Principal Data Engineer, jointly shaping the architecture and evolution of the Data & AI domain. You’ll be expected to independently make and own technical decisions, drive initiatives from design through production, and provide technical leadership across the team.
You’ll work across teams and contribute to shaping how we approach Data Fusion: bringing together signals from heterogeneous systems and turning them into actionable insights through AI and data engineering. This requires someone who can hold the big picture in their head while still caring deeply about the details of implementation.
Beyond architecture, you’ll own the technical execution of initiatives within the Data & AI domain - driving work from design through production, making trade-off decisions, coordinating with adjacent teams, and staying accountable for systems after they go live.
We write code with AI - tools like Claude Code and Cursor are a core part of how we work at every level, including this one. At Technical Lead level we expect not just fluency but deliberate, opinionated use: knowing when to lean on AI, when to steer it hard, and when to step in entirely. This is a non-negotiable part of how we operate.
What You’ll Do
What We’re Looking For
Nice to have:
Your perks
About us
TRG TECH RESEARCH GROUP LIMITED deals with Data Fusion and AI products for civilian protection.
Our mission is to empower our customers to fight crime and terror through state-of-the-art technologies that provide accurate and precise intelligence.
Our product, Intellectus, is the only cloud-based all-in-one fusion platform with integrated web intelligence, discovery capabilities, advertisement intelligence, virtual ID management, and third-party database integration that can be deployed in less than 24 hours.
Want to learn more? Visit our website at www.trgint.com and our LinkedIn page.
TRG TECH RESEARCH GROUP LIMITED processes and/or controls all data in accordance with the EU General Data Protection Regulation (GDPR) 2016⁄679. For more information, visit our Privacy Policy.
Leads end-to-end architecture, implementation, and lifecycle management of AI/ML applications for enterprise clients, ensuring reliable deployment, monitoring, and production operations.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value for our clients. You will take full ownership of strategic AI/ML projects from vision and solution design through deployment and ongoing optimization, ensuring that models can be trained, tuned, and operated reliably using client data. You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers, platform/DevOps teams, and business stakeholders to deliver high-quality solutions and advance phData’s delivery excellence.
Key Responsibilities
Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts, ensuring reliable model deployment, retraining, monitoring, and production operations that create clear business impact.
Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures, defining the environments, data flows, and infrastructure required for model development, training, tuning, and serving.
Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews, to align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards.
Ensure the quality, reliability, and observability of AI/ML solutions through robust testing strategies, documentation, monitoring, and governance that meet security, compliance, and performance expectations.
Contribute to and leverage reusable assets such as reference architectures, accelerators, templates, and playbooks, while mentoring team members and partnering with Sales and account leadership to grow strategic AI/ML engagements.
About You
You are a customer-obsessed technical leader and consultant who enjoys solving complex data and AI/ML challenges while building trusted relationships with clients. You are equally comfortable discussing architecture with executives and diving deep into code, infrastructure, and data pipelines with engineering teams. You thrive in an outcomes-driven environment, manage multiple work streams with ease, and bring a blend of strong engineering skills, strategic thinking, and excellent communication to every engagement. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.
Required Qualifications
Experience
Technical / Functional Skills
Strong proficiency in a modern programming language such as Python (or similar) for building production-grade data and ML solutions, including experience designing and integrating APIs and services that expose ML models.
Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL and experience writing, debugging, and optimizing complex and distributed queries.
Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.
Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP, and how they integrate into analytical and ML environments.
Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms (e.g., AWS, Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability.
End-to-end software development lifecycle experience (design, documentation, implementation, testing, deployment, and ongoing operations) for data and ML solutions, including model deployment, monitoring, and lifecycle management.
Education - If desired
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
Experience with cloud and data ecosystem technologies such as Spark, Databricks, Snowflake, AWS, Azure, or GCP in the context of building and operating AI/ML solutions.
Experience working with data science and machine learning libraries and frameworks such as H2O, TensorFlow, Keras, scikit-learn, or similar.
Experience with containerization and orchestration technologies such as Docker and Kubernetes, and with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow for enterprise-scale ML.
Background in consulting or professional services, including pre-sales, project scoping, and strategic advisory work for data and AI/ML initiatives.
Contributions to technical communities, open source projects, public speaking, writing, or other relevant side projects demonstrating thought leadership in data and AI/ML.
Why phData?
Benefits at phData
US:
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Tech lead who deploys AI agents into customer environments, designs agentic workflows, debugs system issues, and mentors junior engineers on complex production implementations.
Magical is building an agentic AI platform that brings “AI employees” into the workplace to execute repetitive, operationally critical work.
Our agents help organizations move faster, reduce manual work, and improve outcomes in areas where reliability matters—particularly healthcare. We work directly with customers to understand complex workflows, deploy AI agents into real operating environments, and turn what we learn into a more powerful and scalable platform.
The shift toward agentic work is already underway, and we are building the infrastructure and deployment playbook that will define how it happens.
Magical is backed by Greylock, Coatue, Altman Capital, Lightspeed, and other investors behind companies including OpenAI, Anthropic, Hugging Face, and Notion.
We are looking for a Tech Lead to raise the technical bar across Magical’s Forward Deployed Engineering team and take on our most difficult customer and platform challenges.
This is a highly senior individual-contributor role. You will remain deeply hands-on while providing technical leadership across multiple customers, deployments, and FDE workstreams.
You will step into complex or ambiguous situations, quickly understand what is going wrong, and lead the work required to solve it. You will also coach less experienced FDEs, review technical approaches, and help the broader team develop stronger judgment and execution skills.
You will report to the Head of Deployments and work closely with Forward Deployed Engineers, Deployment Strategy, Product, and Engineering.
Take the lead on Magical’s most complex, high-risk, or technically ambiguous customer deployments.
Get hands-on in the work—designing agentic workflows, writing and improving prompts, building integrations, debugging failures, analyzing system behavior, and shipping production solutions.
Diagnose difficult issues across customer environments, integrations, agent performance, data quality, and platform behavior.
Provide technical leadership across multiple customers and teams rather than owning only a single project or account.
Review solution designs, implementation plans, testing strategies, and production-readiness for complex workflows.
Coach FDEs through technical problems and help junior team members develop stronger problem-solving, debugging, and systems-thinking skills.
Set an example for technical ownership, execution quality, urgency, and customer focus.
Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems.
Partner with Product and Engineering to distinguish between deployment-specific issues and platform-level gaps.
Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards.
Improve the team’s practices for testing, observability, debugging, incident response, documentation, and release management.
Help define what excellent Forward Deployed Engineering looks like at Magical.
Magical’s technical deployments are delivered on time and thoroughly.
Customer-facing issues are diagnosed accurately, with root causes addressed rather than repeatedly patched.
FDEs make better technical decisions and become more capable of solving complex problems independently.
Technical quality becomes more consistent across customers and workstreams.
Repeated implementations are converted into reusable tools, patterns, and platform improvements.
Product and Engineering receive clear, technically credible feedback from customer deployments.
The organization can take on more complex customers without relying on a small number of people to repeatedly rescue deployments.
You have significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role.
You have operated as a technical lead or senior individual contributor on complex, customer-facing software deployments.
You are comfortable moving across the full problem space—from understanding a customer workflow to debugging an integration, improving agent behavior, and shipping a reliable production solution.
You are an exceptional problem solver who can bring structure to unclear situations and make progress without complete information.
You have strong technical judgment and know when to fix a local implementation, change the architecture, or escalate a platform limitation.
You enjoy being hands-on and are willing to personally take on difficult implementation and debugging work.
You are able to influence and lead other engineers without relying on formal management authority.
You are a strong coach who can explain not only what should change, but how to think about the problem differently.
You communicate clearly with engineers, deployment teams, and customer stakeholders, especially when a project is under pressure.
You care deeply about production reliability, testing, observability, and solving the underlying cause of a problem.
You are deeply curious about AI agents, prompting, automation, and multi-agent systems. Prior experience is valuable, but strong technical fundamentals and the ability to learn quickly matter more.
You have a strong bias toward action and consistently demonstrate “show, don’t tell.”
You have high agency and can prioritize, make decisions, and unblock yourself and others without waiting for perfect information.
You are energized by early-stage environments where the technical playbook is still being created.
You are located in Toronto or willing to relocate.
A science, engineering, or similarly technical educational background is helpful, but we care more about what you have built, solved, and learned than where you studied.
This is not an advisory or architecture-only position. You will be expected to get into the details, work directly in the implementation, and stay close to a problem until it is solved.
You may move between customers, technical domains, and urgent priorities quickly. Some periods will involve intense work, incomplete information, and problems that do not have an obvious owner or solution.
You should be excited by the opportunity to step into those situations, create clarity, and lead from the front.
The opportunity to define the technical standard for Forward Deployed Engineering at Magical
Ownership of some of the company’s most important and technically difficult customer problems
A chance to work at the frontier of agentic AI and multi-agent systems
Significant influence over Magical’s product, platform, and deployment practices
A modern technical stack and access to leading AI tools
Competitive compensation and meaningful equity
Unlimited PTO
Team offsites, with past trips including Iceland, Lisbon, Cancún, and Costa Rica
Tech Lead manages complex AI agent deployments, designs agentic workflows, debugs system issues, and coaches engineers on production AI solutions across customer environments.
Magical is building an agentic AI platform that brings “AI employees” into the workplace to execute repetitive, operationally critical work.
Our agents help organizations move faster, reduce manual work, and improve outcomes in areas where reliability matters—particularly healthcare. We work directly with customers to understand complex workflows, deploy AI agents into real operating environments, and turn what we learn into a more powerful and scalable platform.
The shift toward agentic work is already underway, and we are building the infrastructure and deployment playbook that will define how it happens.
Magical is backed by Greylock, Coatue, Altman Capital, Lightspeed, and other investors behind companies including OpenAI, Anthropic, Hugging Face, and Notion.
We are looking for a Tech Lead to raise the technical bar across Magical’s Forward Deployed Engineering team and take on our most difficult customer and platform challenges.
This is a highly senior individual-contributor role. You will remain deeply hands-on while providing technical leadership across multiple customers, deployments, and FDE workstreams.
You will step into complex or ambiguous situations, quickly understand what is going wrong, and lead the work required to solve it. You will also coach less experienced FDEs, review technical approaches, and help the broader team develop stronger judgment and execution skills.
You will report to the Head of Deployments and work closely with Forward Deployed Engineers, Deployment Strategy, Product, and Engineering.
Take the lead on Magical’s most complex, high-risk, or technically ambiguous customer deployments.
Get hands-on in the work—designing agentic workflows, writing and improving prompts, building integrations, debugging failures, analyzing system behavior, and shipping production solutions.
Diagnose difficult issues across customer environments, integrations, agent performance, data quality, and platform behavior.
Provide technical leadership across multiple customers and teams rather than owning only a single project or account.
Review solution designs, implementation plans, testing strategies, and production-readiness for complex workflows.
Coach FDEs through technical problems and help junior team members develop stronger problem-solving, debugging, and systems-thinking skills.
Set an example for technical ownership, execution quality, urgency, and customer focus.
Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems.
Partner with Product and Engineering to distinguish between deployment-specific issues and platform-level gaps.
Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards.
Improve the team’s practices for testing, observability, debugging, incident response, documentation, and release management.
Help define what excellent Forward Deployed Engineering looks like at Magical.
Magical’s technical deployments are delivered on time and thoroughly.
Customer-facing issues are diagnosed accurately, with root causes addressed rather than repeatedly patched.
FDEs make better technical decisions and become more capable of solving complex problems independently.
Technical quality becomes more consistent across customers and workstreams.
Repeated implementations are converted into reusable tools, patterns, and platform improvements.
Product and Engineering receive clear, technically credible feedback from customer deployments.
The organization can take on more complex customers without relying on a small number of people to repeatedly rescue deployments.
You have significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role.
You have operated as a technical lead or senior individual contributor on complex, customer-facing software deployments.
You are comfortable moving across the full problem space—from understanding a customer workflow to debugging an integration, improving agent behavior, and shipping a reliable production solution.
You are an exceptional problem solver who can bring structure to unclear situations and make progress without complete information.
You have strong technical judgment and know when to fix a local implementation, change the architecture, or escalate a platform limitation.
You enjoy being hands-on and are willing to personally take on difficult implementation and debugging work.
You are able to influence and lead other engineers without relying on formal management authority.
You are a strong coach who can explain not only what should change, but how to think about the problem differently.
You communicate clearly with engineers, deployment teams, and customer stakeholders, especially when a project is under pressure.
You care deeply about production reliability, testing, observability, and solving the underlying cause of a problem.
You are deeply curious about AI agents, prompting, automation, and multi-agent systems. Prior experience is valuable, but strong technical fundamentals and the ability to learn quickly matter more.
You have a strong bias toward action and consistently demonstrate “show, don’t tell.”
You have high agency and can prioritize, make decisions, and unblock yourself and others without waiting for perfect information.
You are energized by early-stage environments where the technical playbook is still being created.
You are located in Toronto or willing to relocate.
A science, engineering, or similarly technical educational background is helpful, but we care more about what you have built, solved, and learned than where you studied.
This is not an advisory or architecture-only position. You will be expected to get into the details, work directly in the implementation, and stay close to a problem until it is solved.
You may move between customers, technical domains, and urgent priorities quickly. Some periods will involve intense work, incomplete information, and problems that do not have an obvious owner or solution.
You should be excited by the opportunity to step into those situations, create clarity, and lead from the front.
The opportunity to define the technical standard for Forward Deployed Engineering at Magical
Ownership of some of the company’s most important and technically difficult customer problems
A chance to work at the frontier of agentic AI and multi-agent systems
Significant influence over Magical’s product, platform, and deployment practices
A modern technical stack and access to leading AI tools
Competitive compensation and meaningful equity
Unlimited PTO
Team offsites, with past trips including Iceland, Lisbon, Cancún, and Costa Rica
Tech lead who deploys and manages AI agents in customer environments, debugs agentic workflows, and provides technical leadership across complex AI deployments.
Magical is building an agentic AI platform that brings “AI employees” into the workplace to execute repetitive, operationally critical work.
Our agents help organizations move faster, reduce manual work, and improve outcomes in areas where reliability matters—particularly healthcare. We work directly with customers to understand complex workflows, deploy AI agents into real operating environments, and turn what we learn into a more powerful and scalable platform.
The shift toward agentic work is already underway, and we are building the infrastructure and deployment playbook that will define how it happens.
Magical is backed by Greylock, Coatue, Altman Capital, Lightspeed, and other investors behind companies including OpenAI, Anthropic, Hugging Face, and Notion.
We are looking for a Tech Lead to raise the technical bar across Magical’s Forward Deployed Engineering team and take on our most difficult customer and platform challenges.
This is a highly senior individual-contributor role. You will remain deeply hands-on while providing technical leadership across multiple customers, deployments, and FDE workstreams.
You will step into complex or ambiguous situations, quickly understand what is going wrong, and lead the work required to solve it. You will also coach less experienced FDEs, review technical approaches, and help the broader team develop stronger judgment and execution skills.
You will report to the Head of Deployments and work closely with Forward Deployed Engineers, Deployment Strategy, Product, and Engineering.
Take the lead on Magical’s most complex, high-risk, or technically ambiguous customer deployments.
Get hands-on in the work—designing agentic workflows, writing and improving prompts, building integrations, debugging failures, analyzing system behavior, and shipping production solutions.
Diagnose difficult issues across customer environments, integrations, agent performance, data quality, and platform behavior.
Provide technical leadership across multiple customers and teams rather than owning only a single project or account.
Review solution designs, implementation plans, testing strategies, and production-readiness for complex workflows.
Coach FDEs through technical problems and help junior team members develop stronger problem-solving, debugging, and systems-thinking skills.
Set an example for technical ownership, execution quality, urgency, and customer focus.
Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems.
Partner with Product and Engineering to distinguish between deployment-specific issues and platform-level gaps.
Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards.
Improve the team’s practices for testing, observability, debugging, incident response, documentation, and release management.
Help define what excellent Forward Deployed Engineering looks like at Magical.
Magical’s technical deployments are delivered on time and thoroughly.
Customer-facing issues are diagnosed accurately, with root causes addressed rather than repeatedly patched.
FDEs make better technical decisions and become more capable of solving complex problems independently.
Technical quality becomes more consistent across customers and workstreams.
Repeated implementations are converted into reusable tools, patterns, and platform improvements.
Product and Engineering receive clear, technically credible feedback from customer deployments.
The organization can take on more complex customers without relying on a small number of people to repeatedly rescue deployments.
You have significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role.
You have operated as a technical lead or senior individual contributor on complex, customer-facing software deployments.
You are comfortable moving across the full problem space—from understanding a customer workflow to debugging an integration, improving agent behavior, and shipping a reliable production solution.
You are an exceptional problem solver who can bring structure to unclear situations and make progress without complete information.
You have strong technical judgment and know when to fix a local implementation, change the architecture, or escalate a platform limitation.
You enjoy being hands-on and are willing to personally take on difficult implementation and debugging work.
You are able to influence and lead other engineers without relying on formal management authority.
You are a strong coach who can explain not only what should change, but how to think about the problem differently.
You communicate clearly with engineers, deployment teams, and customer stakeholders, especially when a project is under pressure.
You care deeply about production reliability, testing, observability, and solving the underlying cause of a problem.
You are deeply curious about AI agents, prompting, automation, and multi-agent systems. Prior experience is valuable, but strong technical fundamentals and the ability to learn quickly matter more.
You have a strong bias toward action and consistently demonstrate “show, don’t tell.”
You have high agency and can prioritize, make decisions, and unblock yourself and others without waiting for perfect information.
You are energized by early-stage environments where the technical playbook is still being created.
You are located in Toronto or willing to relocate.
A science, engineering, or similarly technical educational background is helpful, but we care more about what you have built, solved, and learned than where you studied.
This is not an advisory or architecture-only position. You will be expected to get into the details, work directly in the implementation, and stay close to a problem until it is solved.
You may move between customers, technical domains, and urgent priorities quickly. Some periods will involve intense work, incomplete information, and problems that do not have an obvious owner or solution.
You should be excited by the opportunity to step into those situations, create clarity, and lead from the front.
The opportunity to define the technical standard for Forward Deployed Engineering at Magical
Ownership of some of the company’s most important and technically difficult customer problems
A chance to work at the frontier of agentic AI and multi-agent systems
Significant influence over Magical’s product, platform, and deployment practices
A modern technical stack and access to leading AI tools
Competitive compensation and meaningful equity
Unlimited PTO
Team offsites, with past trips including Iceland, Lisbon, Cancún, and Costa Rica
Leads AI analytics and agent development for Instacart's ads platform, designing semantic layers, building dbt models, and developing AI agents that optimize campaign performance and ROAS.
Headquarters: United States - Remote
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.
As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.
About the Job
About You
Minimum Qualifications
Preferred Qualifications
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
To apply: https://weworkremotely.com/remote-jobs/instacart-ads-ai-analytics-lead-ii
Tech lead architecting and running a generative AI media production platform with ComfyUI, training LoRAs, and building control-first image/video generation pipelines for product asset creation.
Headquarters: Tallinn, Remote, Estonia
URL: http://capslock.global
CapsLock is a global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We solve complex sales challenges across a wide range of industries, primarily for large North American partners. By integrating our expertise in Digital Marketing, IT, Design, AI-driven analytics, proprietary MarTech, and sales consulting, we deliver powerful, data-informed customer acquisition solutions.
At CapsLock, people, technology, and forward-thinking innovation lie at the heart of everything we do. Our diverse, global team, fluent in over 10 languages, thrives on open collaboration and the exchange of new ideas, pushing boundaries to ensure our clients' success.
Role overview
We are building CapsLock's AI Media Production platform, and we're hiring the tech lead who will architect it.
We generate visuals of real products, not concepts. Every asset must match the client's actual product 1:1 - down to hardware and geometry. No artifacts, no hallucinations, no "close enough". This is a control and reproducibility problem, not a prompting problem, and it needs an engineer.
This is a greenfield build. You'll be the first engineer in this direction, working directly with the Design Director as the technical interface between creative teams and software infrastructure.
What you will work on
Your must haves
You don't need to meet every single requirement. If you're excellent in most of these areas and can show shipped work, we'd love to hear from you.
Nice to have
What we offer
To apply: https://weworkremotely.com/remote-jobs/capslock-generative-ai-pipeline-engineer-tech-lead-2
Tech lead architecting and operating a generative AI media production platform with ComfyUI, managing reproducible pipelines, LoRA training, and control-based image/video generation for product asset creation.
Headquarters: Tirana, Remote, Albania
URL: http://capslock.global
CapsLock is a global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We solve complex sales challenges across a wide range of industries, primarily for large North American partners. By integrating our expertise in Digital Marketing, IT, Design, AI-driven analytics, proprietary MarTech, and sales consulting, we deliver powerful, data-informed customer acquisition solutions.
At CapsLock, people, technology, and forward-thinking innovation lie at the heart of everything we do. Our diverse, global team, fluent in over 10 languages, thrives on open collaboration and the exchange of new ideas, pushing boundaries to ensure our clients' success.
Role overview
We are building CapsLock's AI Media Production platform, and we're hiring the tech lead who will architect it.
We generate visuals of real products, not concepts. Every asset must match the client's actual product 1:1 - down to hardware and geometry. No artifacts, no hallucinations, no "close enough". This is a control and reproducibility problem, not a prompting problem, and it needs an engineer.
This is a greenfield build. You'll be the first engineer in this direction, working directly with the Design Director as the technical interface between creative teams and software infrastructure.
What you will work on
Your must haves
You don't need to meet every single requirement. If you're excellent in most of these areas and can show shipped work, we'd love to hear from you.
Nice to have
What we offer
To apply: https://weworkremotely.com/remote-jobs/capslock-generative-ai-pipeline-engineer-tech-lead
Architects and operates a generative AI media production platform, building reproducible pipelines for product image/video generation with control-first techniques and automated quality checks.
Headquarters: Helsinki, Remote, Finland
URL: http://capslock.global
CapsLock is a global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We solve complex sales challenges across a wide range of industries, primarily for large North American partners. By integrating our expertise in Digital Marketing, IT, Design, AI-driven analytics, proprietary MarTech, and sales consulting, we deliver powerful, data-informed customer acquisition solutions.
At CapsLock, people, technology, and forward-thinking innovation lie at the heart of everything we do. Our diverse, global team, fluent in over 10 languages, thrives on open collaboration and the exchange of new ideas, pushing boundaries to ensure our clients' success.
Role overview
We are building CapsLock's AI Media Production platform, and we're hiring the tech lead who will architect it.
We generate visuals of real products, not concepts. Every asset must match the client's actual product 1:1 - down to hardware and geometry. No artifacts, no hallucinations, no "close enough". This is a control and reproducibility problem, not a prompting problem, and it needs an engineer.
This is a greenfield build. You'll be the first engineer in this direction, working directly with the Design Director as the technical interface between creative teams and software infrastructure.
What you will work on
Your must haves
You don't need to meet every single requirement. If you're excellent in most of these areas and can show shipped work, we'd love to hear from you.
Nice to have
What we offer
To apply: https://weworkremotely.com/remote-jobs/capslock-generative-ai-pipeline-engineer-tech-lead-1
Define and architect AI-native software delivery platforms, integrating AI agents with developer tooling, CI/CD, governance, and enterprise knowledge systems across the organization.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Overview
As the senior technical authority for the DevX platform, you will define how AI-native software delivery works across the organization. You will connect core developer platform capabilities—such as CI/CD, Backstage, cloud landing zones, and software supply chain security—with AI agents, orchestration, governance, and enterprise knowledge systems. You will influence teams across engineering, security, and business units by setting technical direction and building working examples that others can adopt.
This is a Remote position. You will report to the EVP of Developer Experience & AI Tooling
You will have opportunity to:
Benefits/Perks
Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Recruitment Fraud Awareness - Experian’s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Leads AI operations and automation initiatives across Spreedly's payments platform, optimizing workflows and infrastructure through AI-driven tools and processes.
Spreedly is the world’s leading Open Payments Platform. Founded in 2007 and headquartered in Durham, NC, the company gives mid-market and enterprise businesses the infrastructure to connect to any payment gateway, processor, or fraud tool through a single API. The platform is vendor-agnostic by design, meaning customers are never locked into a single provider and never need to rebuild their payments stack to access new capabilities.
The core business problem Spreedly solves is real and costly: global merchants face a fragmented payments ecosystem, where every new market, payment method, or fraud tool typically requires a separate, time-consuming integration. Spreedly eliminates that complexity, enabling companies to route transactions intelligently, secure cardholder data, prevent fraud, and expand into new markets without heavy engineering overhead.
Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include:
Connect— A unified API that integrates with hundreds of payment gateways, processors, and alternative payment methods worldwide, including digital wallets. Merchants access the global payments ecosystem through one connection.
Vault — A PCI-compliant secure repository for payment methods. Merchants store card data once and reuse it across any payment service, reducing PCI scope and protecting cardholder data at scale.
Optimize— Workflow-driven routing and retry logic that directs each transaction to the best-performing gateway in real time. On average, 7.9% of failed transactions succeed immediately when retried on a secondary gateway. This is where merchants recover lost revenue and increase authorization success rates.
Protect— A flexible fraud and authentication layer, incorporating advanced fraud tools and 3DS. Following Spreedly’s acquisition of Dodgeball in September 2025, fraud orchestration and payment optimization now operate within the same platform.
Resolve— Centralized management and reporting that reduces operational silos, strengthens security, and improves billing control across a merchant’s entire payment operation.
We describe our team as “Spreedlings”: diverse, forward-thinking, and driven by a shared belief that a more open payments ecosystem benefits everyone. The company operates with a culture built on transparency, courageous collaboration, and self-driven leadership. The team values simplicity in both product and process, and approaches problem-solving with genuine curiosity.
About the Role:
We’re looking for a Business AI Operations Lead to help Spreedly transform how business teams operate by identifying high-value opportunities and translating them into practical, scalable AI-enabled workflows.
This role leads AI workflow discovery across R&D and builds prioritized solutions across R&D and other business functions. It also owns key Marketing Operations activities outside of scoring, routing, and analytics, which are managed by Revenue Operations.
The ideal candidate combines strong operational judgment with hands-on implementation skills. They can understand how work happens today, identify opportunities for meaningful improvement, and deliver practical solutions that teams adopt and continue to use.
Success in this role will be measured by the on-time delivery of prioritized workflows, improved operational efficiency, strong adoption, measurable business outcomes, and reliable processes and solutions.
R&D Workflow Discovery
Business AI Execution
Solution Ownership
Marketing Operations
#LI-AE1
We champion the ethical, creative use of AI—if you’re someone who pairs human judgment with modern AI tools to work smarter and drive bigger impact, you’ll thrive here.
–
Spreedly is an equal opportunity employer. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, inclusion, and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training.
Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check.
At this time Spreedly is unable to provide sponsorship for employment, and we are not set up to support remote employees who reside in New York. In order to be considered for employment, applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country.
We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.
–
#LI-AE1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Leads AI operations and automation initiatives to optimize payment platform workflows, manage AI tooling, and drive intelligent transaction routing and fraud detection systems.
Spreedly is the world’s leading Open Payments Platform. Founded in 2007 and headquartered in Durham, NC, the company gives mid-market and enterprise businesses the infrastructure to connect to any payment gateway, processor, or fraud tool through a single API. The platform is vendor-agnostic by design, meaning customers are never locked into a single provider and never need to rebuild their payments stack to access new capabilities.
The core business problem Spreedly solves is real and costly: global merchants face a fragmented payments ecosystem, where every new market, payment method, or fraud tool typically requires a separate, time-consuming integration. Spreedly eliminates that complexity, enabling companies to route transactions intelligently, secure cardholder data, prevent fraud, and expand into new markets without heavy engineering overhead.
Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include:
Connect— A unified API that integrates with hundreds of payment gateways, processors, and alternative payment methods worldwide, including digital wallets. Merchants access the global payments ecosystem through one connection.
Vault — A PCI-compliant secure repository for payment methods. Merchants store card data once and reuse it across any payment service, reducing PCI scope and protecting cardholder data at scale.
Optimize— Workflow-driven routing and retry logic that directs each transaction to the best-performing gateway in real time. On average, 7.9% of failed transactions succeed immediately when retried on a secondary gateway. This is where merchants recover lost revenue and increase authorization success rates.
Protect— A flexible fraud and authentication layer, incorporating advanced fraud tools and 3DS. Following Spreedly’s acquisition of Dodgeball in September 2025, fraud orchestration and payment optimization now operate within the same platform.
Resolve— Centralized management and reporting that reduces operational silos, strengthens security, and improves billing control across a merchant’s entire payment operation.
We describe our team as “Spreedlings”: diverse, forward-thinking, and driven by a shared belief that a more open payments ecosystem benefits everyone. The company operates with a culture built on transparency, courageous collaboration, and self-driven leadership. The team values simplicity in both product and process, and approaches problem-solving with genuine curiosity.
About the Role:
We’re looking for a Business AI Operations Lead to help Spreedly transform how business teams operate by identifying high-value opportunities and translating them into practical, scalable AI-enabled workflows.
This role leads AI workflow discovery across R&D and builds prioritized solutions across R&D and other business functions. It also owns key Marketing Operations activities outside of scoring, routing, and analytics, which are managed by Revenue Operations.
The ideal candidate combines strong operational judgment with hands-on implementation skills. They can understand how work happens today, identify opportunities for meaningful improvement, and deliver practical solutions that teams adopt and continue to use.
Success in this role will be measured by the on-time delivery of prioritized workflows, improved operational efficiency, strong adoption, measurable business outcomes, and reliable processes and solutions.
R&D Workflow Discovery
Business AI Execution
Solution Ownership
Marketing Operations
#LI-AE1
We champion the ethical, creative use of AI—if you’re someone who pairs human judgment with modern AI tools to work smarter and drive bigger impact, you’ll thrive here.
–
Spreedly is an equal opportunity employer. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, inclusion, and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training.
Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check.
At this time Spreedly is unable to provide sponsorship for employment, and we are not set up to support remote employees who reside in New York. In order to be considered for employment, applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country.
We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.
–
#LI-AE1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Identifies AI opportunities across marketing operations, designs and prioritizes AI solutions, prototypes agents, and drives adoption of AI-powered workflows.
Headquarters: Remote, Canada; Remote, United Kingdom; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them.
Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritising what gets built and in what order, and ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it.
You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritisation. They bring the technical depth, production-grade delivery, and architecture decisions. You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on the right approach, tooling, and structure.
You will partner closely with Enterprise AI within the Enterprise Technology & AI organisation, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context, prioritisation, building at the no-code layer, and adoption muscle. Together, you form the core of your function's AI transformation.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range$152,800—$259,200 USDPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
To apply: https://weworkremotely.com/remote-jobs/gitlab-ai-transformation-owner-marketing
