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Sunday (sunday.ai)

Senior Product Manager, Infra

Posted 12 Days Ago
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In-Office
Redwood City, CA, USA
180K-270K Annually
Senior level
In-Office
Redwood City, CA, USA
180K-270K Annually
Senior level
Own the internal tools product roadmap supporting robot scheduling, fleet management, testing, data labeling, quality review, and customer support. Partner with engineering, data operations, robotics, and support teams to prioritize workflows, define requirements, establish metrics, and scale tools for growing robot operations. Research internal users, evaluate AI-assisted workflows, and guide tool consolidation, security, and automation decisions.
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Join Us in Building the Future of Home Robotics

At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.

We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you.

What to Expect

Sunday is building home robots, and behind every robot is a set of tools that helps our teams operate, test and improve them. These tools support robot scheduling and maintenance, data labeling and quality review, robot testing, and customer support. As the number of robots we operate and the volume of data and testing grow, these tools are becoming critical to the business. You'll be our first product manager dedicated to internal tools, focusing on high-impact workflows that require coordination across multiple teams and users—not every internal tool. You'll own what we build and why for robot operators, data collection teams, technicians, machine learning engineers, product managers, customer support, quality assurance testers, and technical program managers.

What You'll Do

  • Own the internal tools roadmap. Turn scattered, reactive requests into a coherent strategy that keeps maintenance costs down. Decide where tools should be combined and where different workflows or security requirements mean they should remain separate.

  • Prioritize tools for robot testing, robot operation and fleet management based on business impact and cross-team coordination needs. Fleet management includes robot scheduling, tracking repairs, delivering over-the-air software updates, and showing real-time robot location and health.

  • Define requirements for dedicated robot testing spaces: coordinate robots, people and space bookings, and support safety scanners, camera recording and live streaming. Build a path toward tests that can run without a person present.

  • Shape robot operation tools for distinct users: teams collecting data and evaluating robot performance, and testing, engineering and product teams running specific software versions or robot behaviors.

  • Work with data operations and machine learning teams to scale data labeling and quality review tools as data volume grows from in-house collection, external vendors and robot performance tests.

  • Learn directly from internal users. Shadow technicians, robot operators and data reviewers, and turn their workflows into clear requirements engineers can build from.

  • Set priorities with software engineering, data operations and other leads, and say no clearly. Help decide where AI agents that take actions on a user's behalf add value and where people should perform or control the work.

  • Define and track success metrics for each tool, such as adoption, time to resolve operational issues, and the amount of data reviewers can assess accurately.

  • Over time, potentially extend the scope to operations supporting robots in customers' homes: customer support, remote robot operation, and tools for viewing diagnostic logs. Align that scope with the consumer product roadmap.

What You'll Bring

  • 4+ years in product management, ideally on internal platforms, operations tools or workflow software for businesses, with the seniority to independently set priorities and decide which tools and workflows to focus on.

  • Experience with hardware, robotics, fleets of connected devices, or machine learning data workflows such as labeling, quality review and model evaluation.

  • Strong discovery skills with non-technical users. You enjoy sitting next to a technician to learn how they work.

  • Strong technical grounding to work through tradeoffs with engineers on robot health and performance data, cloud services, data storage and access controls, and to make informed decisions about combining or separating tools.

  • Experience designing both AI-assisted workflows and workflows performed by people, with judgment about when to use AI agents and when to keep people in control.

  • Comfort with ambiguity at an early-stage company. You can write the first version of a problem statement that doesn't exist yet.

  • Bonus: experience with robot fleet management, remote robot operation, or test labs that connect real hardware to software-driven tests.

What success looks like in 6 months

  • Robot fleet operations have a coherent roadmap and clear ownership, with tools combined where appropriate and adopted by operations and support teams.

  • Robot testing and operation tools have scoped plans and agreed staffing that address their distinct users and coordination needs, including a path toward tests that can run without a person present.

  • Data labeling and quality review tools have clear ownership, a roadmap for moving robot evaluation results into a cloud-based viewer, and a plan that supports a growing data operations team.

At Sunday Robotics, we’re building technology shaped by real people — curious, creative, and diverse. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria — we don’t want that to be the reason we miss out on great talent.

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