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Deepgram is seeking a mid-level Product Designer focused on execution to own UI work across Playground and Console. You will collaborate with senior designers, delivering end-to-end pieces while gaining fluency in Cosmos and our AI-first tooling.
The role offers remote work with a Pacific Time alignment and a preference for candidates in San Francisco. You will design for developers (APIs, consoles, SDKs) and contribute to a fast-growing AI-native product, balancing craft with pace and learning
This is a mid-level execution-focused Product Designer role at a well-funded, growth-stage AI company. Deepgram has a notable client roster (Twilio, Cloudflare) and processes significant audio volume, signaling product-market fit and real scale — not an early-stage experiment.
Compensation context: No salary is listed. For a Product Designer at this level in SF/remote-US, market rates typically range from $120,000–$160,000 annually based on industry benchmarks for AI/B2B SaaS companies. Deepgram's stage suggests competitive equity may be part of the package.
Green flags: Clear operating principles, emphasis on craft quality, AI-native culture. Watch for: The role is explicitly described as supporting senior designers — career growth to independent ownership may require proving yourself over time. Understand the promotion path before accepting.
Deepgram is bringing the world's most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.
The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world's conversations with AI run on our models.
Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:
Compress before you communicate. You think it through first, then lead with the bottom line.
Resist entropy. You question what already exists before adding more process or tools.
Solve the category. You fix recurring problems at the source, not one case at a time.
Work at the frontier. You go after problems no one has solved yet.
We look for people who already work this way, and these principles shape how we grow and evaluate our team.
We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.
That means more than using the tools. We expect you to:
Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.
Own the output. AI can speed up the work. It doesn't make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.
Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.
Keep pace. Models and tools change every month, and so will your work. You adopt what's new quickly and drop what no longer earns its place.
We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.
Note: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.
Playground and Console are where developers meet Deepgram for the first time. Our redesigns are shipping into development now, and both surfaces have steady, real UI work ahead of them.
We're looking for a Product Designer to own that execution. You'll work alongside our senior designers on feature-level work, take assigned pieces end to end once the direction is set, and float to whichever surface needs design hours that week. The work is well-defined and it matters: it is the first impression of the product for most of the people who use it.
This role is deliberately flexible. You'll build fluency in our design system, our developer audience, and our product faster than you would sitting on one surface for a year, and you'll be the reason senior designers get to stay on the problems only they can solve.
You'll report directly to the Director of Product Design.
Your first chapter: feature-level UI across Playground and Console, running on Cosmos, our design system.
Design and refine UI across the Playground and Console experiences, working from a defined problem and a general solution direction
Support senior designers on feature work, taking assigned pieces end to end with minimal guidance once the approach is set
Pick up design work wherever capacity is needed, across product surfaces
Apply Cosmos consistently, and exercise judgment on the edge cases the system does not answer yet
Document the why alongside the what, so your decisions are legible to the team and to engineering
Give regular updates, present your rationale in critique, and give your peers feedback worth having
Use our AI and design tooling in your day-to-day work, and share what you learn with the team
Take pride in execution, and care whether the spacing is right
Want range early, across multiple surfaces and problem types, rather than one narrow lane
Like designing for developers, and find technical products more interesting than intimidating
Want to learn from senior designers by working next to them on real work
Are excited to move at the pace of AI and figure out where these tools genuinely help
We care more about expertise and leadership than years of experience.
Strong UI craft, with a portfolio that shows clear visual and interaction judgment
Experience taking feature-level work end to end, from direction through production handoff
Fluency working inside a design system, and the judgment to know when a pattern does not fit
Clear written communication, including the reasoning behind your decisions
Comfort with technical or abstract product surfaces
AI tools already in your daily practice, with a view on where they help
Experience designing for developers or technical users, including APIs, SDKs, documentation, or console workflows
Exposure to B2B SaaS with both self-serve and enterprise motions
Prototyping skills beyond static screens
Experience contributing to a design system rather than only consuming one
Curiosity about voice, audio, or real-time products
Is this role fully remote or is there an office requirement? The role is fully remote but requires availability during Pacific Time hours. Deepgram states a preference for candidates located in San Francisco, though this is not a strict requirement. What design tools and systems will I be working with? You'll work within Cosmos, Deepgram's proprietary design system, and are expected to have AI tools already integrated into your daily practice. The company is AI-first and expects designers to build custom AI workflows. What level of experience is expected for this Product Designer role? Deepgram states they care more about expertise and craft than years of experience. The role is execution-focused and supports senior designers, making it well-suited for mid-level designers with a strong portfolio of end-to-end feature work. Will I own projects independently or work under senior designers? Initially you'll support senior designers by taking assigned feature-level pieces end to end once direction is set. The role is described as deliberately flexible, with the expectation of growing fluency across multiple product surfaces. Is experience designing for developer audiences required? It is listed as a "nice to have" rather than a hard requirement, but Deepgram notes it would be great if you had experience with APIs, SDKs, documentation, or console workflows. Comfort with technical or abstract product surfaces is listed as a core requirement.
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