---
title: 'Senior Product Manager, Infra at Sunday Robotics'
canonical: 'https://feeny.ai/job/senior-product-manager-infra-sunday-robotics-redwood-city-htpb3d46p6p6'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Product Manager, Infra at Sunday Robotics

- **Company:** Sunday Robotics
- **Location:** Redwood City, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/sunday/c8644db7-a829-4808-995a-94af8a8286e9

## Job description

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.

## About Sunday Robotics

## Company Overview
- **One-liner**: Sunday Robotics builds Memo, an autonomous home robot that learns household chores through a proprietary Skill Capture Glove™ and data collected from real homes.
- **Entity Type**: Private (Series B)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2024 (founder dropped out of Stanford CS PhD in 2024 to start the company)
- **Founders**: Tony Zhao

## Core Business
- **Primary industry/industries**: Consumer robotics, home automation, artificial intelligence
- **Target customers**: B2C – households (homeowners and families)
- **Mission or purpose statement**: "Giving people their time back for the things that matter most" by automating repetitive household chores.

## Products & Services
- **Memo (Autonomous Home Robot)**: A wheeled, single-armed robot designed to perform household tasks such as loading the dishwasher, folding socks, pulling espresso shots, and clearing tables. It uses AI trained on data from hundreds of real homes and features passive stability, compliant control, and a soft silicone shell for safety.
- **Skill Capture Glove™**: A low-cost (~$400) wearable glove that mirrors Memo’s kinematics. A distributed network of “Memory Developers” (over 2,000 gloves shipped) record themselves performing tasks in their own homes, generating training data that enables Memo to learn new skills without human tele-operation.

## Market Standing
- **Valuation/Market Cap**: $1.15 billion (as of March 2026, Series B round)
- **Key Metric**: Total Funding – $165 million (Series B, oversubscribed)
- **Notable Investors/Partners**: Coatue (lead, with Thomas Laffont joining the board), Bain Capital Ventures, Fidelity Management & Research Company, Tiger Global, Benchmark, Conviction, Xtal Ventures
- **Growth Signals**: Engineering team grew 3x, Research 4x, Data Operations 5x ahead of the Series B. Beta program launching in late 2026 with “Founding Families.” Memo already learns multiple skills in parallel (dishes, coffee, laundry). Public deployment is the stated focus, moving beyond demos.

## Competitive Advantages
- **Unmatched iteration speed**: The company can move from in-the-wild data collection to model training and real-world evaluation faster than competitors.
- **Full-stack ownership**: Controls the entire stack – from the Skill Capture Glove and data collection pipeline to hardware design, manufacturing, and AI models.
- **Data moat**: Proprietary data from thousands of glove recordings and the robot fleet creates a flywheel that improves over time, while also benefiting from public datasets.
- **Safety-first design**: Memo has passive stability (won’t fall when power is cut), compliant control (limbs can be pushed safely), and a soft, cleanable silicone shell – making it safe for homes with children and pets.

## Strategic Focus
- **Real-world deployment over demos**: The Series B announcement explicitly states “No More Demos” – the company is shifting entirely to shipping Memo to households via a beta program in 2026.
- **Scaling skills**: Continuously expanding Memo’s Skill Library (new skills every month) and improving generalization so the robot works in homes it has never seen.
- **Manufacturing cost reduction**: Current hand-built cost is ~$20,000; target retail price will be at least 50% lower after large-scale manufacturing.

## Why Work Here
- **Mission-driven culture**: The team is united by the goal of giving people back their time through helpful robotics. Core value: persistence.
- **Small, ambitious team**: 30+ engineers, designers, and researchers in Silicon Valley – offering high ownership and impact.
- **Cutting-edge robotics & AI**: Work on the full stack – from hardware mechanical design to imitation learning and world models. Founders have deep academic roots (ALOHA project, Stanford).
- **Open roles**: Hiring across Robotics, Hardware, Software, ML & Robotics Infra, Data Operations, and Product. Includes remote Memory Developer positions.
- **Office location**: Redwood City, CA (likely hybrid/on-site for most technical roles).

## Sources
1. [sunday.ai](https://www.sunday.ai/)
2. [sunday.ai/company](https://www.sunday.ai/company)
3. [sunday.ai/careers](https://www.sunday.ai/careers)
4. [sunday.ai/journal/series-b](https://www.sunday.ai/journal/series-b)
5. [baincapitalventures.com](https://baincapitalventures.com/insight/robots-finally-at-home/)

## Other roles at Sunday Robotics

- [Controller](https://feeny.ai/job/controller-sunday-robotics-redwood-city-ng7fxnqwawjw) — Redwood City, CA
- [Robotics Systems Software Integration Engineer](https://feeny.ai/job/robotics-systems-software-integration-engineer-sunday-robotics-redwood-city-mx6etyvwk99s) — Redwood City, CA
- [Technical Program Manager, Data Engine](https://feeny.ai/job/technical-program-manager-data-engine-sunday-robotics-redwood-city-zf8exbfb1n1a) — Redwood City, CA
- [Fulfillment Associate](https://feeny.ai/job/fulfillment-associate-sunday-robotics-redwood-city-97xn3ah758zs) — Redwood City, CA
- [Strategic Projects Lead](https://feeny.ai/job/strategic-projects-lead-sunday-robotics-redwood-city-abxvmnh3vqzt) — Redwood City, CA
- [Memory Developer (in-house) PM Shift](https://feeny.ai/job/memory-developer-in-house-pm-shift-sunday-robotics-redwood-city-am18c4ehjqt6) — Redwood City, CA
- [Product Operations](https://feeny.ai/job/product-operations-sunday-robotics-redwood-city-z7rzpxpy3vpr) — Redwood City, CA
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- [Triage Associate](https://feeny.ai/job/triage-associate-sunday-robotics-redwood-city-he8z7xjkk1fx) — Redwood City, CA
- [R&D Engineering Technician](https://feeny.ai/job/r-d-engineering-technician-sunday-robotics-redwood-city-fbcjna7kdxkx) — Redwood City, CA