Strategic Projects Lead (Technical)

Join SuperAnnotate as a Strategic Projects Lead, where you'll take full ownership of our most complex, high-value client engagements. You'll run the end-to-end delivery of our largest LLM and Gen AI data programs, manage client relationships, drive operational discipline, and lead and develop your team. This role requires a strong technical background, experience in client-facing roles, and a track record of owning outcomes.

• Lead the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs, including scoping, resource planning, quality oversight, and client sign-off.
• Build and maintain trusted relationships with key stakeholders, acting as the main point of contact for clients and ensuring transparency and solutions orientation in every interaction.
• Drive operational discipline across workstreams by managing timelines, staffing plans, and delivery quality across multiple concurrent projects, and catching problems before they become crises.
• Bachelor's degree or higher in Statistics, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field. CS, Math, and Engineering degrees should include meaningful ML or applied data science exposure
• Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions
• 4+ 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 working knowledge of the Gen AI landscape: Familiarity with how LLMs are trained and evaluated, and what drives data quality at each stage, so you can guide your team’s approach and speak knowledgeably with client research teams
• 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
• 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
• Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action
• Coding ability and analytical depth: You have solid coding skills (Python, SQL, or similar) alongside depth in machine learning, statistics, or data science
• 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