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Sunday Robotics

Autonomous household robot with data-driven learning

Eval Operations Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA$120k - $230k /yrIn-person

About the Job

Requirements

  • Strong analytical skills and the ability to turn data into actionable insights.
  • High ownership and bias for execution.
  • Clear written and verbal communication.
  • Comfort working across analytics and hands-on operations.
  • Resilience and receptiveness to direct feedback.
  • Intermediate-level understanding of machine learning.

Responsibilities

  • Build the analytics layer for evaluation operations, including dashboards, reporting, and analyses to understand model performance, evaluation throughput, failure patterns, and operational bottlenecks.
  • Work with stakeholders across machine learning, Software, Hardware, Product, and Operations to define evaluation goals, ensure data quality, and translate results into actionable insights.
  • Design and improve processes that increase evaluation quality, repeatability, and scale.
  • Own the logistics required to run evaluations, including sourcing and standardizing props, garments, equipment, and environments.
  • Identify operational gaps and build solutions, automations, or processes to close them.

Desired Qualifications

  • Previous experience in strategy and operations, technical program management, consulting, or investment banking.
  • Technical skills to build lightweight tooling or automations.
  • Exposure to machine learning evaluation, experimentation, or labeling workflows.
  • Ability to leverage artificial intelligence to improve productivity.

About the Company

Sunday Robotics

Autonomous household robot with data-driven learning

Sunday Robotics is building Memo, an autonomous home robot that helps families with chores like washing dishes, laundry, and tidying. Memo moves on a wheeled base with a soft silicone shell and uses a telescoping arm to reach from floor to high shelves; it learns by watching humans through a foundation model called ACT-1 trained on real-world chores collected with the Skill Capture Glove. The company differentiates itself by using large-scale “in-the-wild” data (about 10 million home routines from 500+ homes) and a non-humanoid design that emphasizes safety, while aiming for a price close to premium consumer devices rather than cars. Its goal is to make autonomous home robots affordable and deployable, moving from demos to a Founding Family Beta program that delivers robots to selected households.

Company size
201-500
Company stage
Series B
Total funding
$200M
Headquarters
Mountain View, CA
Founded
2024

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