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We use AI to accelerate – not to replace thinking. We design the system, steer the output, and take responsibility for what we ship. Fast where it makes sense. Careful where it matters.
Job Responsibility
Own the product vision end-to-end. Shape AI agent products that don’t exist yet – from discovery through to delivery
Translate customer needs into a clear, scalable, and profitable product direction. Build your own vision on top of it
Bridge business and technology. Turn customer and stakeholder input into product strategy and technical requirements that engineering actually wants to build
Talk to customers directly. Understand their real problems, not just their stated ones. Distill ambiguity into actionable direction
Work closely with data scientists, engineers, marketing, and leadership. Keep up with a team that operates at a high level
Solve problems. Close gaps. Don’t wait for permission or a Jira ticket – take ownership and move things forward
Requirements
Be technically fluent in AI/ML. Understand LLMs, GenAI, and Agentic AI well enough to form strong opinions about product and system design
Understand the stack. Know how hardware (GPUs, compute), models, and applications connect – and where decisions have impact
Put the customer first. Run discovery, extract real needs, and turn complexity into clarity and direction
Operate with high agency. Take initiative, make decisions, and drive work forward with minimal guidance
Build, don’t just plan. Get hands-on – prototype, write specs, test assumptions, and validate with users
Bring experience from AdTech, media, or advertising. Understand programmatic ecosystems, real-time systems, and business models
Have 3–6+ years in product management, ideally with exposure to AI/ML products or complex technical platforms