Remote AI Lead Jobs
Remote AI Lead jobs are open across the U.S. in sectors from enterprise software and fintech to healthcare technology and media, at remote-first companies and distributed teams scaling their AI capabilities. Employers hiring remotely right now include LawnStarter, EPAM Systems, and Target. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 146+ Remote AI Lead jobs
Why Socure?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About Socure
Socure is the leading platform for digital identity verification, fraud prevention, and compliance. We help the largest enterprises make accurate identity and risk decisions with the speed, precision, and trust required in a digital-first world.
Job Overview
As the Lead Program Manager, AI and Work Transformation at Socure, you will bring program management and strategic structure to our enterprise AI efforts across Internal Transformation, AIDLC, and the Agentic Flywheel initiatives. You will partner with business and technical leaders to translate priorities into clear plans, coordinate cross-functional execution, manage dependencies, and make progress and decisions visible. You will also shape how we approach enablement, change management, and adoption across these efforts, including facilitating AI governance forums and delivering practical programming that helps teams apply AI to their work.
This role is ideal for someone who can navigate complex initiatives with senior technical stakeholders while understanding the people, processes, and behaviors needed to make change stick. You will combine disciplined project management with strategic thinking, helping teams align on ownership, work through ambiguity, and turn AI priorities into measurable improvements in how Socure operates, builds, and delivers value.
Job Responsibilities
AI Operations & Enablement
- Lead program planning and coordination across Internal Transformation, AI-DLC, the Agentic Flywheel and customer-facing AI initiatives. Align stakeholders and track milestones, owners, dependencies and risks, with enablement and change management built into each pillar's plan.
- Run portfolio intake and prioritization with executive sponsors and pillar leaders. Bring together business value, team capacity, dependencies and readiness input from the owners; surface tradeoffs and support decisions on sequencing, scope and investment.
- Partner with Internal Transformation leaders from workflow discovery and business case through rollout, adoption and benefit realization. Coordinate functional owners and technical teams to redesign work, automate high-value processes and reduce duplicated solutions.
- Partner with AI-DLC leaders on project management and enablement, change and adoption plans. Align learning, communications and stakeholder readiness to their roadmap; track commitments and barriers with technical leaders who own implementation.
- Partner with Agentic Flywheel leaders on project management, stakeholder alignment and how teams prepare for and adopt new ways of working. Track milestones, dependencies and risks, and shape enablement and change support with Data Science and Engineering leaders.
- Run AI governance forums as decision-making and escalation mechanisms. Prepare options and recommendations, secure decisions from accountable owners, track commitments and close blockers across pillars; involve the appropriate technical, risk and investment decision owners.
- Report program progress, stakeholder readiness, adoption and business value using measures agreed with pillar leads. Distinguish enablement activity from changes in how people work, and use technical-owner inputs when reporting pillar outcomes.
- Shape the enablement and change-management approach across AI pillars. Identify affected audiences, clarify how work will change, and coordinate learning, communications, Champions, manager support and feedback with pillar leads, People/L&D and functional leaders.
- Identify shared enablement needs and reusable practices across pillars. Partner with AI Incubation, IT and functional leaders to reduce duplicated efforts, clarify available tools and support, and route access, policy or tooling barriers to the right owners.
Program Management & Cross-Functional Leadership
- Maintain integrated program plans based on pillar leaders' roadmaps, with clear scopes, owners, milestones, resource needs, dependencies and adoption goals. Reconcile timelines and capacity, and escalate risks and decisions before they delay progress.
- Run the cross-pillar project cadence, track commitments and coordinate action on blockers. Maintain clear risks and decisions, and give leadership a concise view of progress, change readiness, adoption, tradeoffs and business value.
- Coordinate rollout and operational handoffs with named owners, accessible documentation, knowledge transfer and feedback loops. Ensure teams know what is changing, how to use new capabilities and where to get support after launch.
Job Requirements
- A bachelor's degree is required. PMP certification or an equivalent program management credential is a plus.
- At least 7 years leading complex, cross-functional technology or business transformation programs, independently managing plans, stakeholders and commitments across technical and business workstreams.
- Ability to translate strategic priorities into clear program plans, milestones and stakeholder responsibilities, and manage resource needs, dependencies, risks and decisions across concurrent workstreams.
- Familiarity with AI and agentic capabilities and how they affect business, software and data-science workflows. Able to ask useful questions, translate technical updates and identify change impacts; engineering or machine-learning specialization is not required.
- Evidence of measurable business improvements and sustained adoption. You can agree baselines and success measures with domain owners, distinguish activity from outcomes and use feedback and data to improve program and change plans.
- Strong executive communication and technical-to-business translation, including clear decision briefs, stakeholder messages and reporting on progress, dependencies, adoption barriers and business impact.
- Experience designing enablement and change approaches for managers, business teams and technical practitioners, connecting learning, communications, support and feedback to day-to-day work.
- Experience facilitating governance, resolving ownership conflicts and influencing executive and technical stakeholders without reporting authority, plus a record of coaching colleagues and improving program practices.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Compensation Range: $150K - $185K
Why Socure?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About Socure
Socure is the leading platform for digital identity verification, fraud prevention, and compliance. We help the largest enterprises make accurate identity and risk decisions with the speed, precision, and trust required in a digital-first world.
Job Overview
As the Lead Program Manager, AI and Work Transformation at Socure, you will bring program management and strategic structure to our enterprise AI efforts across Internal Transformation, AIDLC, and the Agentic Flywheel initiatives. You will partner with business and technical leaders to translate priorities into clear plans, coordinate cross-functional execution, manage dependencies, and make progress and decisions visible. You will also shape how we approach enablement, change management, and adoption across these efforts, including facilitating AI governance forums and delivering practical programming that helps teams apply AI to their work.
This role is ideal for someone who can navigate complex initiatives with senior technical stakeholders while understanding the people, processes, and behaviors needed to make change stick. You will combine disciplined project management with strategic thinking, helping teams align on ownership, work through ambiguity, and turn AI priorities into measurable improvements in how Socure operates, builds, and delivers value.
Job Responsibilities
AI Operations & Enablement
- Lead program planning and coordination across Internal Transformation, AI-DLC, the Agentic Flywheel and customer-facing AI initiatives. Align stakeholders and track milestones, owners, dependencies and risks, with enablement and change management built into each pillar's plan.
- Run portfolio intake and prioritization with executive sponsors and pillar leaders. Bring together business value, team capacity, dependencies and readiness input from the owners; surface tradeoffs and support decisions on sequencing, scope and investment.
- Partner with Internal Transformation leaders from workflow discovery and business case through rollout, adoption and benefit realization. Coordinate functional owners and technical teams to redesign work, automate high-value processes and reduce duplicated solutions.
- Partner with AI-DLC leaders on project management and enablement, change and adoption plans. Align learning, communications and stakeholder readiness to their roadmap; track commitments and barriers with technical leaders who own implementation.
- Partner with Agentic Flywheel leaders on project management, stakeholder alignment and how teams prepare for and adopt new ways of working. Track milestones, dependencies and risks, and shape enablement and change support with Data Science and Engineering leaders.
- Run AI governance forums as decision-making and escalation mechanisms. Prepare options and recommendations, secure decisions from accountable owners, track commitments and close blockers across pillars; involve the appropriate technical, risk and investment decision owners.
- Report program progress, stakeholder readiness, adoption and business value using measures agreed with pillar leads. Distinguish enablement activity from changes in how people work, and use technical-owner inputs when reporting pillar outcomes.
- Shape the enablement and change-management approach across AI pillars. Identify affected audiences, clarify how work will change, and coordinate learning, communications, Champions, manager support and feedback with pillar leads, People/L&D and functional leaders.
- Identify shared enablement needs and reusable practices across pillars. Partner with AI Incubation, IT and functional leaders to reduce duplicated efforts, clarify available tools and support, and route access, policy or tooling barriers to the right owners.
Program Management & Cross-Functional Leadership
- Maintain integrated program plans based on pillar leaders' roadmaps, with clear scopes, owners, milestones, resource needs, dependencies and adoption goals. Reconcile timelines and capacity, and escalate risks and decisions before they delay progress.
- Run the cross-pillar project cadence, track commitments and coordinate action on blockers. Maintain clear risks and decisions, and give leadership a concise view of progress, change readiness, adoption, tradeoffs and business value.
- Coordinate rollout and operational handoffs with named owners, accessible documentation, knowledge transfer and feedback loops. Ensure teams know what is changing, how to use new capabilities and where to get support after launch.
Job Requirements
- A bachelor's degree is required. PMP certification or an equivalent program management credential is a plus.
- At least 7 years leading complex, cross-functional technology or business transformation programs, independently managing plans, stakeholders and commitments across technical and business workstreams.
- Ability to translate strategic priorities into clear program plans, milestones and stakeholder responsibilities, and manage resource needs, dependencies, risks and decisions across concurrent workstreams.
- Familiarity with AI and agentic capabilities and how they affect business, software and data-science workflows. Able to ask useful questions, translate technical updates and identify change impacts; engineering or machine-learning specialization is not required.
- Evidence of measurable business improvements and sustained adoption. You can agree baselines and success measures with domain owners, distinguish activity from outcomes and use feedback and data to improve program and change plans.
- Strong executive communication and technical-to-business translation, including clear decision briefs, stakeholder messages and reporting on progress, dependencies, adoption barriers and business impact.
- Experience designing enablement and change approaches for managers, business teams and technical practitioners, connecting learning, communications, support and feedback to day-to-day work.
- Experience facilitating governance, resolving ownership conflicts and influencing executive and technical stakeholders without reporting authority, plus a record of coaching colleagues and improving program practices.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
Follow Us!
YouTube | LinkedIn | X (Twitter) | Facebook
Compensation Range: $150K - $185K
See All 146+ Remote AI Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Education
- Manufacturing
- Insurance
What Employers Look For
The qualifications that appear most often in remote AI lead jobs.
- Five or more years of experience building and deploying machine learning or AI systems in production
- Proficiency with Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience leading cross-functional teams or mentoring junior engineers and data scientists
- Hands-on work with cloud AI services on AWS, Google Cloud, or Azure
- Demonstrated ability to translate business problems into AI solutions and communicate results to non-technical stakeholders
- Bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field
Tips for Your Remote AI Lead Job Search
Show async leadership in your portfolio
Remote ai lead employers want proof you can drive projects without in-person contact. Document your AI initiatives with written case studies that show your decision process, the team you coordinated, and the outcome. Notion pages, GitHub READMEs, and recorded demos all count.
Signal remote readiness with real tools
Name the async and collaboration tools you have used in your resume and cover letter: Slack, Jira, Confluence, Linear, or similar. Remote ai lead hiring managers screen for candidates who already operate in distributed workflows, not ones who need to learn them on the job.
Apply early to remote roles that fit
Migrate Mate lists remote ai lead openings from across the U.S. in one place, so you can find roles that match your background and apply directly. Remote postings at well-known companies fill fast, so applying within the first few days of a listing going live improves your odds.
Prepare for remote-first interview formats
Remote ai lead interviews often include an async take-home or a written technical brief before any live call. Practice articulating your AI architecture decisions in clear, non-jargon prose. Interviewers are testing whether you can lead distributed teams through written communication, not just verbal explanation.
Remote AI Lead Jobs: Frequently Asked Questions
How do I get a remote ai lead job?
Remote ai lead roles go to candidates who can demonstrate autonomous execution, not just technical depth. Remote employers screen for strong written communication, comfort with async collaboration tools like Slack and Notion, and the ability to drive cross-functional AI initiatives without in-person oversight. Showing a portfolio of shipped AI projects, documented decision-making, and clear stakeholder communication gives you a real edge over candidates who only list model names.
Which companies hire remote ai leads?
Remote ai lead roles are posted by LawnStarter, EPAM Systems, and Target and others right now, based on current remote listings on Migrate Mate as of November 2026. The bulk of remote postings come from remote-first software companies, AI-native startups, and distributed enterprise teams in fintech, healthcare technology, and cloud infrastructure.
Can you get a remote ai lead job with no experience?
Yes, but remote entry-level ai lead roles are harder to land because employers expect you to operate with minimal hand-holding from day one. Remote-first startups and early-stage AI teams are the most open to candidates without a traditional lead title. What opens the door is a public portfolio of AI projects, documented problem-solving process, and evidence you can communicate technical decisions clearly in writing.
Do you need a degree for remote ai lead jobs?
Not always. Remote employers weigh demonstrated AI output, applied machine learning skills, and leadership on real projects more heavily than credentials alone. A strong GitHub presence, published models, or a history of leading AI initiatives at previous employers can substitute for a formal degree at many remote-first companies, particularly in software and product-driven organizations.
Which industries hire the most remote ai leads?
Most remote ai lead openings sit in Technology & Software, Consulting & Professional Services, and Education, per current remote listings on Migrate Mate as of November 2026. Those sectors rely on distributed engineering and product teams where ai leads coordinate across time zones, making remote work a natural fit for the role.
See All 146+ Remote AI Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Lead Jobs