Staff Product Designer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

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Learning budget

Not verified

Verification

Not verified

Salary

$220K-$280K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$66,396 U.S. median for this role

Projected growth (BLS Employment Projections)

+3.5% - Average

277% above the BLS role benchmark for design aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 27-1024 - Design aggregate by role bucket.

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

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Product Designer Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role This role is for a designer who gets better by building. You use real work to learn, refine, and raise the bar. You build working prototypes with AI tools and code. Your prototypes connect to real systems and help engineering move faster with higher quality. You understand how AI systems behave. You have worked with prompting, evaluation, and feedback loops. You can look at an output and explain what went wrong, whether it comes from a prompt, the data, or the system. You stay close to the field. You follow new work in AI and want to work alongside researchers at the

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