Note: The job is a remote job and is open to candidates in USA. Dice is recruiting on behalf of a Bay Area-based security technology company seeking an experienced AI Project Manager. The role leads end-to-end delivery of enterprise AI and LLM initiatives across multiple concurrent workstreams, coordinating business stakeholders, technical teams, vendors, governance, risks, budgets, and executive reporting.
Responsibilities
- Own end-to-end delivery of the client''s AI initiatives across multiple concurrent tracks (workstreams, timelines, budgets, and dependencies)
- Serve as the primary point of coordination between business stakeholders, technical/AI teams, and vendors — translating technical AI concepts into business impact and vice versa
- Define and track project plans, milestones, RAID logs, and status reporting tailored to AI/LLM project nuances (e.g., model evaluation cycles, prompt iteration, data readiness, compliance review)
- Facilitate governance, steering committee updates, and executive readouts on AI program progress and risk
- Drive alignment across cross-functional teams (engineering, security, compliance, product) to keep AI tracks on schedule and within scope
- Proactively identify risks specific to AI initiatives (model performance, data privacy, third-party authentication, change management) and drive mitigation
- Manage vendor and third-party relationships tied to AI tooling and platforms
Skills
- Remote - Travel once in a quarter – as and if needed
- EST (Eastern Time Zone)
- MUST HAVE: Direct, hands-on experience managing a project built around a Large Language Model (LLM) — Anthropic Claude experience strongly preferred — within the last 1–2 years
- Candidates must be able to describe the LLM(s) used, the use case, architecture at a PM level, and measurable outcomes
- MUST HAVE: Demonstrated ownership of AI-specific project delivery (model integration, prompt/workflow design coordination, evaluation cycles, AI vendor/tooling management)
- General "automation" or "digital transformation" experience without AI/LLM specificity does not qualify
- MUST HAVE: Minimum 10–12 years of overall Project Management experience, including a track record of managing automation-focused programs
- MUST HAVE: Executive-level communication and articulation skills, with proven experience managing critical, senior, and sometimes difficult stakeholders across business and technical functions
- A seasoned PM (10-12+ years) who has personally sat in the driver''s seat of an AI/LLM initiative — not someone who supported one peripherally
- Comfortable being asked pointed, specific questions about their AI project experience (which LLM, what was built, how success was measured, what stakeholders were involved)
- Confident, articulate communicator capable of managing up to senior/executive stakeholders and holding ground in critical conversations
- Structured, process-driven, and comfortable operating with formal PM methodology (Agile/Waterfall/hybrid) in an enterprise setting
- Prior experience in security, fintech, or other regulated/enterprise environments is a plus
- Candidates whose only AI exposure is passive awareness, training, or certifications without hands-on project delivery
- Developers, analysts, data scientists, or ML engineers looking to transition into PM roles without existing PM tenure
- Generic automation/RPA project management experience with no LLM/AI component
- Anthropic Claude experience strongly preferred
Benefits
- Remote work arrangement
- Travel once in a quarter – as and if needed
Company Overview
Company H1B Sponsorship