Technical Product Manager
Bjak · Remote · China ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- AI Systems focus
- LLM-based products
- High autonomy
- Technical role
Join a team building proactive, AI-native applications for email, notes, and workflows that require minimal prompting. As a Technical Product Manager, you will define end-to-end requirements for AI capabilities, balancing model behavior, system constraints, and user experience.
You will work directly with ML and engineering teams to establish quality bars, evolve evaluation frameworks, and ensure reliable, long-running task completion. This hands-on role requires deep technical understanding to challenge decisions and drive execution in a zero-to-one environment.
What you'll do
- Define end-to-end requirements for AI capabilities from model to UX
- Translate model capabilities and constraints into product decisions
- Make trade-offs across quality, latency, cost, reliability, and safety
- Collaborate with ML and engineering teams on system design
- Define and evolve evaluation frameworks using offline and online metrics
- Identify failure modes and ensure predictable AI system behavior
- Own product quality, correctness, reliability, and user trust
What you'll need
- Strong computer science fundamentals and system design skills
- Solid understanding of modern ML and production AI systems
- Ability to read technical designs and engage deeply with engineers
- Significant experience owning complex technical products end-to-end
- Hands-on experience with LLM-based systems and model evaluation
- Ability to turn ambiguous problems into clear executable plans
- Comfortable operating with ownership in a fast-moving environment
Nice to have
- Experience shipping AI-heavy consumer products
- Background as an engineer or highly technical PM
- Experience defining evaluation metrics for ML systems
- Strong intuition for AI UX patterns and failure handling
- Prior experience in zero-to-one product environments
How you'll work
- Small, high-talent-density team
- Broad ownership and independent execution
- Fast decision-making with engineering fundamentals
- Virtual meetings and/or onsite interviews
Hiring process
- Applications evaluated by technical team members
- Three to four interviews maximum
- Interviews conducted via virtual meetings or onsite
- Prompt decision following final interview