AI Program Manager Jobs

Discover the latest remote and onsite AI Program Manager roles across top active AI companies. Updated hourly.

Check out 139 new AI Program Manager opportunities posted on The Homebase

Manager, Delivery Excellence

New
Top rated
Glean Work
Full-time
Full-time
Posted

The AI Outcomes Manager partners with executive sponsors and end users to identify high-impact use cases and convert them into measurable business outcomes using Glean. They lead strategic reviews and advise customers on their AI roadmap to maximize platform value. Responsibilities include translating business needs into problem statements, success metrics, and practical AI solutions, collaborating with Product and R&D to influence priorities. They conduct discovery workshops, scope pilots, guide rollouts, and drive broad adoption of the Glean platform. The manager designs and builds AI agents for customers, redesigning business processes for effectiveness and usability, proactively identifying opportunities for expansion and engagement across teams and functions.

$130,000 – $200,000
Undisclosed
YEAR

(USD)

United States
Maybe global
Remote

Head of Forward Deployed Engineering

New
Top rated
Lorikeet
Full-time
Full-time
Posted

As the Head of Forward Deployed Engineering at Lorikeet, you will build and lead a high-performing team of Forward Deployed AI Engineers who act as trusted technical partners to subscribers. You will develop the team’s expertise in Lorikeet’s AI platform and ensure they are equipped to lead implementation projects from kickoff through deployment and ramp up. You will coach the team to deeply understand customer workflows and business goals, configuring Lorikeet’s AI tools to drive meaningful outcomes and foster a culture of curiosity and proactive solutioning. Responsibilities include ensuring tight collaboration with the product team by capturing and communicating customer feedback and insights, supporting team members in navigating complex technical integrations, creating systems for ongoing skill development and operational excellence, and serving as an advocate to unblock the team and ensure they have the tools, clarity, and autonomy to build strong customer relationships. You will also be responsible for accelerating global hiring, technically ramping up new hires, and developing existing team members.

Undisclosed

()

United States
Maybe global
Remote

Senior Product Operations Manager, Evaluation

New
Top rated
Harvey
Full-time
Full-time
Posted

Build and scale the systems that power model and product evaluations across Harvey. Embed evaluation workflows and readiness checkpoints into the product development lifecycle. Create the single source of truth for evaluation status, results, history, and launch readiness. Turn expert-designed evaluation methodologies into scalable, repeatable operational processes. Manage relationships with human data vendors and ensure evaluation quality meets legal standards. Work with Engineering and Research to improve evaluation tooling, automation, and dashboards. Drive evaluation readiness for major product and model launches across geographies and jurisdictions. Document and operationalize evaluation governance as complexity increases. Help define how Harvey ensures model accuracy, reliability, and trust at global scale.

$178,500 – $210,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

Sr. Technical Program Manager, Website

New
Top rated
Grammarly
Full-time
Full-time
Posted

As an Applied Research Scientist at Superhuman, you will develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. You will productize and ship these features into Superhuman's product offerings used daily by millions of users, stay up-to-date with the latest research trends that could improve the product, contribute to the research strategy and technical culture of the company, and help attract professionals in the industry to build a best-in-class research team focused on creating a state-of-the-art writing and communication assistant.

Undisclosed

()

San Francisco
Maybe global
Hybrid

Strategist, Agent Development

New
Top rated
Sierra
Full-time
Full-time
Posted

As a member of the Agent Strategist function at Sierra, the role involves partnering with Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that manage thousands of customer conversations daily. Responsibilities include building, designing, and refining conversational AI agents, driving execution and delivery of complex, high-visibility agent development projects, and coordinating across technical and non-technical stakeholders throughout the full agent development lifecycle. The role requires ensuring clear communication among all stakeholders, developing strong relationships, and contributing data-driven, strategic insights to customers and internal team decisions. Additionally, the strategist acts as a trusted advisor to customers, helping to drive their AI strategies.

Undisclosed

()

Munich, Germany
Maybe global
Remote

Technical Program Manager, Trustworthy AI

New
Top rated
OpenAI
Full-time
Full-time
Posted

Drive interdisciplinary programs for Trustworthy AI at OpenAI, focusing on building partnerships with external academic and research partners. Manage assurance programs such as third-party assessments, translate external research into actionable recommendations, and coordinate progress across multiple teams.

Undisclosed
YEAR

(USD)

Maybe global
Hybrid

Program Manager, Maritime

New
Top rated
Anduril
Full-time
Full-time
Posted

The Program Manager oversees the lifecycle of corporate acquisitions from due diligence through integration, working with cross-functional teams to ensure successful implementation. They manage program timelines, define and improve processes, facilitate communication, and address risks to ensure smooth acquisition transitions.

Undisclosed
YEAR

(USD)

Maybe global
On-site

Manager, AI & Automations Engineering

New
Top rated
Ironclad
Full-time
Full-time
Posted

Define and execute the enterprise automation and AI strategy, combining hands-on technical contributions with leadership of cross-functional initiatives. Own architecture and technical oversight for resilient, observable automation frameworks and AI-enabled workflows; provide hands-on guidance in tools such as Workato, Glean, and AI model integration, focusing on scalability and governance. Lead enterprise integrations across various systems with an emphasis on data quality, reusability, and automation of business and analytics workflows. Operationalize AI use cases including knowledge retrieval, intelligent triage, automated approvals, and autonomous and prompted user workflows across applications, platforms, and AI tools. Establish governance and standards for design, testing, monitoring/observability, and documentation, ensuring adherence to security, data governance, and compliance practices. Engage and influence stakeholders and executives to shape priorities and drive adoption of AI-driven capabilities across functions. Hire, mentor, and retain top talent in automation engineering, analysis, and architecture, promoting a culture of innovation, excellence, and accountability.

$170,000 – $190,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Remote

Technical Program Manager, Evals

New
Top rated
Anthropic
Full-time
Full-time
Posted

The Technical Program Manager, Evals at Anthropic drives adoption of safe AI by securing strategic deals with established companies and educating stakeholders on practical AI applications. They collaborate with GTM, product, and marketing teams, gather customer feedback, and refine sales methodologies to advance AI solutions in traditional industries.

Undisclosed
YEAR

(EUR)

Maybe global
Hybrid

Technical Program Manager, EMEA

New
Top rated
Hiya
Full-time
Full-time
Posted

The Technical Program Manager leads the delivery of complex carrier integrations for Hiya Protect, serving as the primary point of contact between Hiya and carriers across EMEA. They create and execute detailed project plans, coordinate cross-functional teams, and ensure integrations are delivered on time and with high technical standards.

Undisclosed

()

Maybe global
Hybrid

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Frequently Asked Questions

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[{"question":"What does an AI Program Manager do?","answer":"AI Program Managers lead cross-functional teams to deliver artificial intelligence and machine learning initiatives. They develop program plans, budgets, timelines, and AI roadmaps aligned with business objectives. Their daily responsibilities include tracking progress metrics, identifying roadblocks, and mitigating risks in AI implementation. They ensure data assets and models remain discoverable and reusable across the organization. A crucial aspect of their role involves translating complex technical concepts for non-technical stakeholders and championing ethical AI practices. They also oversee the governance and enterprise-wide adoption of AI systems while managing development teams building specialized AI tools."},{"question":"What skills are required for AI Program Manager jobs?","answer":"Successful AI Program Managers need exceptional organizational abilities to juggle multiple AI initiatives simultaneously. Strong communication skills are essential for translating technical AI concepts to various stakeholders. Risk management expertise helps identify and mitigate potential roadblocks in AI implementation. Knowledge of AI/ML technologies enables effective collaboration with technical teams on model evaluation and measurement frameworks. Project management skills, including timeline forecasting and resource allocation, keep AI programs on track. Experience with data governance ensures proper handling of training datasets. Leadership abilities are crucial for guiding cross-functional teams, while ethical judgment supports responsible AI development and deployment."},{"question":"What qualifications are needed for AI Program Manager jobs?","answer":"Employers typically seek candidates with a bachelor's degree in computer science, business, or related fields, though advanced degrees can be advantageous. Professional certifications in project management (PMP) or agile methodologies (Scrum) demonstrate foundational program management expertise. Experience managing technical projects, particularly those involving data science or machine learning, is highly valued. Understanding of AI model evaluation frameworks helps when engaging with technical teams. Prior experience coordinating cross-functional teams and managing complex budgets strengthens applications. While not always required, technical programming knowledge or data science experience provides credibility when leading AI initiatives and communicating with development teams."},{"question":"What is the salary range for AI Program Manager jobs?","answer":"Several factors influence AI Program Manager compensation, including geographical location, company size, industry, and the complexity of AI initiatives being managed. Experience level significantly impacts earning potential, with senior roles commanding higher salaries. The technical depth required varies by position—roles needing deeper AI expertise generally offer higher compensation. Organizations leading in AI adoption, such as major tech companies and specialized AI firms, typically pay premium rates. Additional factors affecting salary include the scope of responsibility, budget size managed, team size, and strategic importance of AI programs to the company's core business. Education level and specialized certifications can also boost earning potential."},{"question":"How long does it take to get hired as an AI Program Manager?","answer":"The hiring timeline for AI Program Manager positions typically spans 1-3 months from application to offer. The process usually begins with resume screening, followed by initial HR interviews to assess program management fundamentals. Technical interviews often evaluate understanding of AI/ML concepts and measurement frameworks without requiring deep coding knowledge. Candidates frequently meet with cross-functional stakeholders to demonstrate communication skills with both technical and business teams. For senior roles, expect additional rounds evaluating strategic thinking and leadership capabilities. Organizations like OpenAI or enterprise AI teams may include case studies to assess how candidates would approach specific AI program challenges, extending the process timeframe."},{"question":"Are AI Program Manager jobs in demand?","answer":"AI Program Manager roles show strong demand across multiple sectors as organizations scale their artificial intelligence initiatives. Leading technology companies like OpenAI and Nutanix actively recruit for these positions to oversee their expanding AI portfolios. Government agencies and AI policy organizations are adding program managers to coordinate AI fellowships and policy initiatives. Enterprises implementing company-wide AI strategies require dedicated managers to oversee governance, adoption, and integration efforts. As machine learning becomes central to business operations, the need for skilled program managers who can bridge technical and business considerations continues to grow. This role represents an emerging career path within the broader AI practitioner ecosystem."},{"question":"What is the difference between AI Program Manager and Product Manager?","answer":"While both roles drive organizational success, AI Program Managers focus specifically on coordinating and delivering AI/ML initiatives across multiple teams, ensuring technical alignment with enterprise AI strategies. Product Managers, by contrast, own product vision, market fit, and user experience, regardless of underlying technology. Program Managers excel at complex project orchestration, risk mitigation, and cross-functional coordination, whereas Product Managers emphasize market research, competitive analysis, and feature prioritization. AI Program Managers require stronger understanding of machine learning concepts, data governance, and AI ethics frameworks. Product Managers typically have deeper customer insight and business model expertise. Both need strong communication skills, but with different emphasis—technical translation versus customer-focused messaging."}]