The Head of Product, AI will define the product strategy for a proactive AI chat app focused on long-running workflows, persistent context, and real-world task completion. At Bjak, this role sits at the intersection of user needs, AI capabilities, and system constraints, translating technical feasibility into reliable user value through close collaboration with engineering teams.
What You'll Do
- Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints.
- Translate model capabilities, data limitations, and evaluation results into clear product decisions.
- Make hard trade-offs across quality, latency, cost, reliability, and user experience.
- Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration.
- Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback.
- Drive execution with clear specifications, risk awareness, and disciplined prioritization.
- Ensure AI features ship quickly, safely, and reliably into production.
- Own AI product quality across UX, correctness, and outcomes.
What We're Looking For
- 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.
Nice to Have
- 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.
Technical Stack
- LLM-based systems
- ML systems
- Prompt engineering
- Pipeline iteration
- Model evaluation frameworks
Team & Environment
- Small, high talent density team
- Collective decision-making, hands-on execution
Benefits & Compensation
- Opportunity to join a world-class team building best-in-class products
- Work in a high talent density, hands-on environment
- Collective decision-making culture
- Rapid speed of execution
- Balance between shipping high-quality work and learning
- Chance to build a truly magical product
- Transparency and efficiency in hiring process
- Invitation to be part of a team bringing practical AI benefits to billions globally
Bjak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
