Strategic Projects Lead

Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch.

Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction.

Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client.

Design the workflows that make delivery possible: Build labeling pipelines, review processes, and quality frameworks that let your team execute at scale - and refine them continuously as project needs evolve.

Lead and develop your team: Recruit, mentor, and performance-manage the operations and subject matter experts. Set the bar, support the people, and build toward a team that can scale.

Identify scope expansion opportunities: Partner with Go-to-Market to turn strong delivery into expanded engagements. Understand your clients’ broader AI data challenges well enough to propose what’s next.

Keep leadership and clients informed: Develop reporting cadences and executive briefings that give an honest, clear picture of project health, risks, and outcomes without noise.

5–8 years of experience running complex technical projects or operations in client-facing roles, with at least some of that time in a high-growth startup environment.

A track record of owning outcomes: You’ve managed cross-functional workstreams with real accountability - and you can point to what you delivered and how.

Strong senior stakeholder communication: You’re comfortable in a room with a CTO or VP and can represent a complex project clearly, confidently, and honestly.

Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action.

Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions.

A working knowledge of the Gen AI landscape: Specifically LLMs, data pipelines, and evaluation - enough to engage meaningfully with clients and guide your team’s work.

Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field

Coding experience in Python, JavaScript, or similar - not required, but it sharpens your judgment on technical projects.

Experience building or managing large distributed contributor or expert workforces.

Background in management consulting, investment banking, or data-intensive technical services.

MBA or equivalent advanced degree.