Staff Product Manager

Summary

Join Turing, a rapidly growing AI company, and lead the development of the next generation AI-first talent assessment platform. You will own the product vision and roadmap, building LLM-powered experiences to identify skills, predict potential, and reduce bias globally. Responsibilities include prototyping and scaling LLM-based assessments, partnering with AI research to translate advancements into production, driving data-driven improvements, leading cross-functional teams, and ensuring responsible AI practices. Success will be measured by placement success rate, time-to-match, candidate NPS, assessment validity, and bias scores. The ideal candidate possesses extensive product management experience with a focus on ML/AI platforms, fluency in LLM architectures, and exceptional stakeholder alignment skills. This is a full-time remote opportunity with flexible working hours and competitive compensation.

Requirements

• 8+ years product management with 0→1 ownership; 3+ years building ML/AI or data‑intensive platforms
• Track record shipping UX‑intensive, real‑time evaluation or proctoring systems at scale (>100 k MAU)
• Working fluency in LLM architectures, vector search, prompt engineering, and evaluation techniques
• Analytical rigor—SQL, experimentation design, and statistical thinking
• Exceptional storytelling and stakeholder alignment skills across C‑suite, engineering, and compliance
• Operate with high agency in environments of ambiguity and hyper‑growth
• Prototype & ship an adaptive, multimodal Video AI Interviewer MVP that spans the full assessment lifecycle
• Create : auto‑generates diverse content (code challenges, MCQs, interview prompts)
• Capture : ingests candidate responses in code editors, text, audio, and live/async video
• Critique : leverages Turing’s agentic self‑grading pipeline with human‑in‑the‑loop review to deliver instant, bias‑controlled scoring
• Calibrate : feeds scoring & human‑review signals back into the generator and rubrics, auto‑evolving question pools, difficulty calibration, and grading logic
• Unify existing building blocks into an end‑to‑end, repeatable platform—enabling rapid iteration of agentic interviews across all phases of the hiring loop

Responsibilities

• Own the vision & roadmap – Establish a 3‑ to 12‑month product strategy aligned to placement quality, fairness, and speed metrics
• Ship 0→1 and 1→N capability – Rapidly prototype LLM‑based assessments (e.g., code agents, multimodal challenges) and scale validated solutions across 200+ skill areas
• Partner deeply with AI research – Translate advances in retrieval‑augmented generation (RAG), self‑critique, and RLHF into production‑grade scoring pipelines
• Drive data & insight loop – Instrument every assessment to capture granular telemetry; synthesize with hiring outcomes to continuously improve algorithms and UX
• Lead cross‑functional squads – Align engineering, design, ops, and go‑to‑market on priorities; ruthlessly manage scope to deliver quarterly impact
• Institutionalize responsible AI – Embed fairness, transparency, and privacy controls; meet evolving global employment regulations
• Evangelize internally & externally – Publish benchmarks, speak at conferences, and influence the talent‑tech ecosystem

Preferred Qualifications

• Background in psychometrics, adaptive testing, or talent/learning management systems
• Experience with Cursor , Replit , Vercel v0.dev , or similar for rapid AI prototyping
• Exposure to distributed, multicultural product development
• Thought leadership in responsible AI, bias mitigation, or employment law

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity