Technical Product Manager
Bjak · Remote · Singapore ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- AI Systems focus
- LLM-based products
- High autonomy
- Fast-paced team
Join a mission to build proactive, AI-native applications for email, notes, and workflows that require minimal prompting. As a Technical Product Manager, you will collaborate directly with ML and engineering teams to define system behavior, measure performance, and ensure high reliability for long-running tasks.
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, and safety
- Collaborate with ML and backend engineers on system design
- Define and evolve evaluation frameworks using offline and online metrics
- Establish quality bars and feedback loops for AI experiences
- Identify failure modes to ensure predictable system behavior
- Own product quality, correctness, and user trust end-to-end
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
- Intuition for model limitations, hallucinations, and failure modes
- Experience owning complex technical products end-to-end
- Hands-on experience with LLM-based AI products
- Experience with model evaluation, experimentation, or prompting
- Ability to turn ambiguous problems into clear executable plans
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
- Quick decision-making process
- Balance of speed and 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