HelloFreshNew York, NY, United States$190k-$233k
SereactPosted 2mo ago
Product Manager (m/f/d) at Sereact scores 76 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Who We Are:
We are a rapidly growing embodied AI company revolutionizing physical labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across warehouses and fulfillment operations worldwide. Our products represent the frontier of what intelligent, dexterous automation can do — and we are only getting started.
We are seeking a Product Manager to own the full product lifecycles — from concept and roadmap to field deployment across 50+ production sites. This is a high ownership, cross functional role at the intersection of AI, robotics hardware, and industrial operations. You will be the connective tissue between our AI/R&D team, software & hardware engineering, solutions architects, and customers — translating real-world operational complexity into a product that runs autonomously at scale with minimal human supervision.
Product Strategy & Roadmap
Own the product roadmap across hardware, software, AI, and field reliability
Set and defend priorities — monthly to annual — against commercial goals and technical constraints
AI & Technical Ownership
Shape training data strategy, model evaluation criteria, and deployment thresholds with the R&D team
Close the loop between field failure data and Cortex training
Customer & Field Collaboration
Spend time at production sites; turn operator observations and edge cases into structured requirements
Own capability specs, performance SLAs, and integration requirements for customer-facing delivery
Cross-functional Execution
Run a customer-driven backlog; prioritize by impact, frequency, & strategic fit
Sequence work with engineering leads; unblock dependencies and maintain momentum
Track KPIs: uptime, pick success rate, intervention rate, time-to-value
Be the product voice in pre-sales technical conversations, build product collateral for the commercial team
Education & Experience
Degree in Engineering, Computer Science, Robotics, or related field
5+ years in product management; 2+ years on robotics systems
Track record of shipping complex technical products in production
Technical Skills
Familiarity with robot software stacks (ROS2, Zenoh, motion planning, control, perception pipelines)
Can engage credibly with AI/ML teams on model evaluation and deployment criteria
Understands hardware-software co-design tradeoffs and their downstream software impact
Product Skills
Turns messy field signal and engineering constraints into clear, prioritized requirements
Prepare PRDs and technical briefs that engineering teams actually use
Basic awareness of EU Machinery Regulation, ISO 10218/15066, and AI Act obligations
Own the product narrative in pre-sales — and build the collateral that helps the commercial team win
Soft Skills
High agency; defines the path rather than waiting for one
Pushes back on commercial, supports engineering, challenges customers, and aligns leadership — often in the same week
Surfaces risks and constraints early with solutions and path forward
Nice to Have
Warehouse automation, AMR, or logistics tech background
Startup experience where scope was undefined
WMS integration or fleet management exposure
Wellpass (gym membership)
Free meals at the workplace
Flexible working hours and the option to work from home when needed
A defining role shaping one of the most technically ambitious robotics products
Competitive compensation and excellent career development opportunities
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Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
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- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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