Technical Program Manager, AI Tooling
F
FigmaAI tooling
One of our US hubs or remotely in the United StatesFull-TimeMiddle
SalaryAnnual Base Salary Range: $169,000 — $245,000 USD
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Job Details
- Experience
- 5+ years of technical program management, or technical delivery experience
- Required Skills
- RESTful APIsRisk Management
Requirements
- Have 5+ years of technical program management or technical delivery experience in a cloud, SaaS, enterprise-technology, or internal-tools environment.
- Demonstrate experience leading complex programs across Product, Engineering, Security, Legal, Data, Business Systems, Operations, and business stakeholders.
- Show a track record of translating product roadmaps into integrated plans, milestones, dependencies, decision points, release schedules, and measurable outcomes.
- Maintain clear ownership boundaries between Product, Program, and Engineering.
- Bring technical fluency with enterprise systems, APIs, integrations, data flows, platform dependencies, identity and access, and software-delivery lifecycles.
- Engage credibly in technical planning and tradeoff conversations; engineering experience is not required.
- Bring written and verbal communication, facilitation, and influencing skills to establish lightweight governance, present decisions and risks, and create accountability without direct authority.
- Direct experience delivering internal AI tooling, platform, or product programs is an added plus.
- Experience with responsible AI, model governance, security, privacy, compliance, or AI risk-management frameworks is an added plus.
- Familiarity with enterprise SaaS, middleware, low-code or no-code automation, identity platforms, data platforms, vendor evaluation, or procurement processes is an added plus.
- Experience with change management, enablement, enterprise adoption, Product Operations, or establishing a program-management practice is an added plus.
Responsibilities
- Translate the Product Manager's roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership.
- Manage execution of the Internal AI Tooling roadmap across technical teams and business stakeholders.
- Operationalize an intake and routing process that defines each request's problem, expected business outcome, delivery path, risk profile, and accountable owner.
- Establish and facilitate planning and execution cadences, including program reviews, dependency reviews, decision forums, release-readiness reviews, and stakeholder updates.
- Maintain an integrated view of dependencies, risks, issues, assumptions, and decisions, driving resolution or escalation when work is blocked.
- Coordinate security reviews, legal and procurement milestones, data dependencies, vendor commitments, and business-system integrations.
- Ensure releases have acceptance criteria, operational ownership, support processes, runbooks, escalation paths, and feedback loops before handoff.
- Partner with Product and stakeholders to define measurable outcomes and report on delivery health, adoption readiness, operational performance, and realized impact.
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