Technical Product Manager, AI Systems

About the Role

The role entails collaborating closely with ML, backend, and mobile engineers to shape the system's behavior for global users. You will be working at the intersection of user needs, model capability, and system constraints, ensuring that AI potential is turned into real, reliable behavior in a real-world application.

Bjak's AI smart assistant is designed to bring intelligence to everyday user conversations, errands, organizing, and workflows. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.

What You Will Do

• 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, focusing on correctness, predictability, and user trust
• Collaborate with cross-functional teams to align AI capabilities with user needs and company priorities
• Balance ambition with technical and operational reality, making decisions that effectively balance quality, speed, cost, and reliability under uncertainty

What We Are 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
• Experience working with AI-powered products, including LLM-based systems
• Hands-on exposure to 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
• Excellent communication and collaboration skills

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

Benefits and Perks

• Opportunity to work on a cutting-edge AI smart assistant
• Collaborative, high-talent density team environment
• Flexible remote work arrangement
• Professional development opportunities
• Access to the latest tools and technologies
• Competitive compensation package
• Health and wellness benefits
• Generous PTO policy

• Develop a strong portfolio showcasing your experience with AI-powered products and ML fundamentals.
• Be prepared to discuss your approach to model evaluation, prompt iteration, and feedback loops during the interview process.
• Highlight your ability to work closely with senior engineers and ML teams, and your experience with complex, technical product ownership.
• Familiarize yourself with Bjak's AI smart assistant and be prepared to discuss how you can contribute to its development.
• Be prepared to provide specific examples of your experience with trade-offs across quality, latency, cost, reliability, and UX.
• Research the company culture and values to ensure alignment with your own goals and expectations.
• Prepare thoughtful questions to ask during the interview, such as 'What are the biggest challenges facing the AI systems team currently?' or 'Can you share an example of a recent project the team worked on?'