We are looking for a GenAI Product Owner to join our AI organization and play a critical role in executing our GenAI and Physical AI initiatives. This is a highly hands-on, execution-focused role, sitting at the intersection of GenAI, data platforms, and ambient IoT.
You will work closely with engineering teams to turn ideas, strategies, and architectural direction into clear technical stories, tasks, and deliverables - and make sure they get shipped. While product strategy will evolve over time, the core of this role is getting things done: driving execution, removing friction, and ensuring complex technical work moves forward with clarity and urgency.
This role is ideal for someone who enjoys being close to the technology, thrives in ambiguity, and wants to work on deep, difficult problems at the frontier of Physical AI and GenAI.
Responsibilities
Own the Product Roadmap: Lead the planning, execution, and delivery of product features related to our data-driven products.
Sprint Management: Oversee agile sprints, ensuring alignment between engineering teams and other stakeholders on timelines and technical requirements.
Collaborate with Cross-Functional Teams: Work closely with engineering, product managers, and business teams to ensure features align with both technical and business needs.
End-to-End Ownership: Take full responsibility for the product lifecycle, from ideation through to delivery and iteration.
Drive Timely Delivery: Ensure the delivery of roadmap features on time, managing risks and adapting to changing priorities.
Communication: Regularly update leadership and stakeholders on project status, roadblocks, and successes.
Requirements: 5+ years of proven experience in a Product Owner, Technical Product Manager, or similar execution-heavy role in a highly technical environment.
Strong ability to translate complex technical concepts into actionable work items (stories, tasks, bugs).
Experience working closely with engineering teams on data platforms, AI systems, or developer-facing products.
Familiarity with GenAI systems, AI agents, or applied AI workflows (e.g., LLM-based products, chatbots, evaluation frameworks).
Hands-on experience with product execution tools such as Jira, Linear, Asana, or similar.
Strong understanding of agile development and iterative delivery in fast-moving teams.
Ability to take ownership, drive clarity in ambiguity, and push execution forward independently.
Excellent communication skills: clear, direct, and pragmatic.
High attention to detail, strong organizational skills, and the ability to manage multiple parallel workstreams.
Technical literacy: comfort working with engineers on topics such as APIs, data pipelines, cloud services, and AI systems.
Exposure to Python, data science fundamentals, or ML concepts is a strong advantage.
Passion for Physical AI, GenAI, and Ambient IoT, and motivation to work on hard, non-trivial technical problems.
This position is open to all candidates.