Lead product strategy and roadmap to convert advanced AI and robotics research (e.g., VLA models, agentic RAG) into customer solutions. Define safety, usability, and performance metrics, engage early enterprise adopters for feedback, and coordinate cross-functional teams to deliver hardware and deep-tech software products.
We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.
Responsibilities:
- Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
- Define safety, usability, and performance metrics for the engineering teams.
- Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
- Lead cross-functional teams to ensure successful product delivery.
- Develop and maintain a product roadmap that aligns with strategic business goals.
Required Skills:
- Technical background in AI, computer science, or engineering.
- Proven experience shipping complex hardware or deep-tech software products.
- Exceptional ability to communicate complex concepts to both engineers and stakeholders.
- Strong analytical skills and a data-driven decision-making approach.
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Own new-logo acquisition and account expansion across large enterprise customers in fraud-intensive industries. Build qualified pipelines, run consultative and multi-threaded sales cycles, navigate technical and business stakeholders, and sell identity data products to fraud, payment risk, and trust and safety leaders. Independently prospect, manage forecasts and quotas, represent Mastercard Identity at industry events, and collaborate with regional account teams and product and technology teams.
Top Skills:
APIsData ScienceFraud DetectionIdentity DataWeb-Based Portals
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Receives, verifies, labels, organizes, delivers, inventories, and restocks medical and non-medical supplies, linen, and equipment. Handles returns and related documentation, maintains material-handling equipment, and supports inventory accuracy across multiple locations. Requires warehouse and shipping/receiving experience, a Washington driver’s license, clean driving history, and willingness to drive a 20-foot box truck. Full-time onsite schedule with occasional overtime and on-the-job training.
Top Skills:
20-Foot Box TruckHand TrucksPallet Jacks
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Supports Medicaid and LTSS operations by engaging members, providers, networks, and internal partners. Performs data entry, reporting, data analysis, workflow development, gap analysis, and process improvement. Maintains accurate information, resolves problems proactively, and communicates effectively while managing multiple priorities. The role requires Medicaid and LTSS expertise, computer proficiency, and familiarity with reporting and healthcare operations.
Top Skills:
EcwExcelMicrosoft Word
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
