Product Engineer
San Francisco, CAFull-timePosted 1mo agoStill listed 3 days ago
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At a glance
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Job overview
Krea builds next‑generation AI creative tools and seeks a product engineer to enhance existing sub‑products and ship new features. The role involves real‑time collaboration tooling, durable execution, GPU‑backed ML inference, and observability, working primarily with SvelteKit and a cloud‑native stack in a full‑time, in‑person setting.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Krea At Krea, we are building next-generation AI creative tools. We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control. We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.
This role We're looking for a product engineer to help take sub-products already driving significant revenue and make them more robust, while shipping new product surfaces for our creative users. You'd work primarily in SvelteKit (React experience also fine), touching Postgres/Redis/ClickHouse, with occasional reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as needed.
What you'll do
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Build real-time collaboration and canvas tooling (e.g. WebGL2/WebGPU for our node-based tools & CRDTs)
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Ship durable execution for long-running workflows and public APIs (OpenAPI docs auto-generated from Zod schemas)
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Reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as features require it
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Own cross-service metrics, tracing, and observability for the features you ship
What we're looking for
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4+ years of experience, ideally with 1+ years contributing to a product with millions of users
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Real, significant Svelte or React experience - this isn't a pure-backend role
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Strong first-principles thinking and product sense over attachment to any specific framework
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Comfort owning things end-to-end, from idea to shipped, measured impact
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Clear written and verbal communication
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Taste - a strong, well-developed point of view on what good creative work looks like
Nice to have
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Python/PyTorch or GPU-backed ML inference experience
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A creative background (design, art, architecture, or similar)
Our stack
- SvelteKit, TypeScript, Python, Postgres (AWS Aurora), Redis, ClickHouse, Docker, Kubernetes, FluxCD
What we offer
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Team: Work alongside a world-class team building the future of AI creative tooling
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Impact: Significant scope and company-wide impact
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Competitive compensation: generous salary & equity packages
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Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage
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Time off: Flexible PTO policy
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Financial planning: 401k with a 4% company-sponsored match
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Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it
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Transit: Ubers covered to & from the office
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Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
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And more!
Please note the above benefits & perks are for full-time employees
How this job compares
Set against the 1,353 open Product Engineer jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This postingNot listed
- California median$158–250K/yr367 salary ranges
- US median$43–48/hr20 hourly ranges
- Openings
- Olive Jobs lists 508 open Product Engineer jobs in California and 1,353 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Product Engineer postings that state a minimum ask for 4 years at the median (1,009 postings).
- Education
- 546 of the 1,353 open Product Engineer jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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