Note: The job is a remote job and is open to candidates in USA. BJAK is seeking a Senior Technical Product Manager to help build reliable, AI-native products for everyday users. The role partners closely with engineering and ML teams to define AI system requirements, make trade-offs across quality and reliability, establish evaluation frameworks, and deliver trusted AI features.
Responsibilities
- Research and define end-to-end AI system requirements from capability to behavior to user impact
- Translate model capabilities, data constraints, and evaluation results into clear product and system decisions
- Make hard trade-offs across quality, latency, cost, reliability, and UX
- Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration
- Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback
- Drive execution with clear specs, strong judgment, and disciplined prioritization
- Ensure systems ship quickly, safely, and reliably, with strong feedback loops
- Own product quality end-to-end - correctness, predictability, and user trust
Skills
- • Strong grounding in computer science fundamentals, including algorithms, data structures, and system design
- • Solid understanding of ML fundamentals and how modern AI systems behave in production
- • Comfort reading, reviewing, and discussing technical design documents
- • Hands-on exposure to AI-powered products, including LLM-based systems
- • Experience working with model evaluation, prompt or pipeline iteration, and feedback loops
- • Strong intuition for model limitations, hallucinations, bias, and drift
- • Significant experience owning complex, technical products end-to-end
- • Proven ability to work closely with senior engineers and ML teams
- • Strong judgment and decision-making ability in ambiguous, fast-moving environments
- • Ability to balance ambition with technical and operational reality
- • Experience shipping AI-heavy consumer products
- • Background as an engineer or highly technical product manager
- • Experience defining evaluation metrics for ML systems
- • Strong intuition for AI UX patterns and failure handling
- • Prior experience in zero-to-one product environments
Company Overview