Product Designer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$66,396 national median

Projected growth (BLS Employment Projections)

+3.5% - Average

201% above the BLS national median for design aggregate.

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

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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

Product Designer San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role We're looking for a Product Designer who's obsessed with turning complex AI infrastructure into experiences developers actually love. You'll own design end-to-end - from how developers deploy models, to how they monitor inference, to how they build AI agents on our platform. This isn't about making things pretty. It's about making powerful things simple. You'll partner with engineers and PMs who think deeply about systems, and you'll use AI tools yourself every day to move fast and think bigger. If you get excited about console UIs, API ergonomics, and making a developer's "time to first inference" feel magical - we want to talk. What You'll Do - Own design from zero to ship - research, prototyping, high-fidelity design, and iteration based on real usage. - Make AI infrastructure intuitive - translate complex technical workflows (model deployment, inference monitoring, agent orchestration) into clear, usable interfaces. - Build and evolve our design

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