Eval Ops Program Manager

Posted 16 Days Ago
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Redwood City, CA, USA
In-Office
Mid level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
Support ML evaluation operations by building analytics and reporting, coordinating logistics and physical test environments, sourcing and standardizing props/equipment, scouting spaces, and creating documentation and processes to ensure high-quality, actionable eval data for the ML team.
Summary Generated by Built In

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

We're looking for an Eval Ops Program Manager to join our Data team and build the operational system for robotics evals.

This role sits at the intersection of machine learning, analytics, and operations. You’ll work closely with ML engineers, researchers, the Eval Operations Lead, and Memory Developers to ensure evaluations are producing trustworthy data and running efficiently at scale.

What You'll Do

  • Build the analytics layer for eval operations, developing dashboards, reporting, and analyses to understand model performance, evaluation throughput, failure patterns, and operational bottlenecks

  • Work with stakeholders across ML, 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

What You'll Bring

  • 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 both analytics and hands-on operations

  • A level of hardcore-ness while still treating people like people

  • Thick-skinned, resilient and receptive to direct feedback

  • Intermediate-level understanding of ML

Nice to Have

  • Previous experience in strategy and ops, technical program management, consulting or investment banking

  • Technical skills to build lightweight tooling or automations

  • Exposure to ML evaluation, experimentation, or labeling workflows

  • Ability to leverage AI to improve productivity

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.

Skills Required

  • Strong data analytics fluency
  • High agency and ability to independently scope and close gaps
  • Clear written and verbal communication to coordinate with ML and Memory Developers
  • Ability to prioritize competing requests and move quickly in an organized manner
  • Comfort with hands-on logistics including sourcing, purchasing, and physically setting up environments
  • Intermediate-level understanding of machine learning
  • Hardcore work ethic with strong interpersonal treatment of teammates
  • Previous experience in ops, research-ops, or data-ops at a fast-moving company
  • Technical skills to build lightweight tooling or automations
  • Exposure to ML evaluation, experimentation, or labeling workflows
  • Ability to leverage AI to improve productivity
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The Company
70 Employees

What We Do

Powered by state-of-the-art AI models and an ever-expanding Skill Library, Memo doesn't just know how to do a few tasks—Memo improves its skills faster than any robot that has come before it.

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