Note: The job is a remote job and is open to candidates in USA. BJAK is building A1, a proactive smart assistant designed to bring AI-native intelligence to everyday conversations, errands, organization, and workflows. The Technical Product Manager will lead the definition and execution of reliable AI systems, partnering closely with engineering and ML teams on system design, evaluation, product decisions, and end-to-end quality. The role balances model capability, user needs, cost, latency, reliability, and user trust in a fast-moving environment.
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