Technical Program Manager, Data Engine

Sunday Robotics; Redwood City (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Sunday Robotics is seeking a Technical Program Manager, Data Engine to own the project side of data annotation or collection. You will design and roll out tasks to operators to deliver high quality, high quantity, and diverse data, coordinating with ML, Software, and Data teams.

You will define frameworks and tools to build ontology, ensuring operators follow annotation and collection guidances so the ML team can run successful experiments.

Qualifications

• Clear written and verbal communication to guide data operators.
• Ability to manage unexpected challenges.
• Ownership of key stakeholders with data operators, engineering, and support.
• Excitement for the growth and development of AI data.
• Prioritization of competing requests with speed and organization.
• A level of hardcore-ness while treating people with respect.
• Intermediate understanding of ML.

Responsibilities

• Own task creation for data ontology.
• Manage the project side of data annotations or collection.
• Create documentation.
• Annotate data yourself when new designs are being developed.
• Create data annotation or collection processes.

Skills

Communication

Stakeholder Management

Project Execution

AI Data Understanding

Prioritization

Team Collaboration

ML Basics

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

We're looking for an Technical Program Manager, Data Engine to join our Data team and own the project side of either data annotation or data collection.

This role is about designing and rolling out tasks to our operators so that they're delivering data that is is high in quality, quantity, and variety.

You’ll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build ontology around. Your role is vital to ensuring our data operators are aligned with the guidances for annotations/collections and that the machine learning team are receiving what they need to run successful experiments.

What You’ll Do

• Own task creation for data ontology

• Manage the project side of data annotations or collection

• Create documentation

• Be in the weeds and annotate data yourself anytime something new is being designed

• Create data annotation or collection processes

What You’ll Bring

• Clear written and verbal communication to guide our data operators

• Your ability to manage unexpected challenges

• Your ownership of key stakeholders with data operators, engineering, and support

• Excitement for the growth and development of AI data

• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner

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

• Intermediate level understanding of ML

Nice to Have

• Previous experience being a strategic projects lead or data program manager for other AI labs/data vendors

• Technical skills to build tools for data annotation or collection

• Ability to leverage AI to help 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.