Eval Ops Program Manager

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Eval Ops Program Manager Redwood City, CA, Redwood City, California, United States 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 -

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