Platform Engineer, Infrastructure

We're building the first voice interface a billion people use every day.

Our first product, Flow, lets you talk instead of type anywhere on your computer or phone, and turns messy speech into polished text that is ready to send. It's scaled from $2M → $50M in ARR in under 12 months with millions of users and thousands of enterprise customers. How we think →

The team is still small enough that every person shapes what gets built.

Every time someone talks to Flow, they're waiting — mid-sentence, cursor blinking — for their words to appear. 500ms feels like magic. 1000ms feels annoying. People use Flow hundreds of times a day, and they feel every single request.

Why this is hard: we've scaled our user base faster than our infrastructure could keep up with. We build and deploy our own voice models, and we've tuned our networking stack to hit P50 latencies of 500ms around the globe. But latency is just the beginning. Our platform layer sits behind every personalization feature, the multi-step workflows that turn speech into action, and the primitive infrastructure the rest of the product is built on. We're shipping new surfaces fast, which means the core platform now needs far more rigor and a lot more headroom.

We've built for millions of users and thousands of enterprises with a three-person platform team. You'd be on the ground floor, creating the systems that support the next hundred million.

• Architect and own whole parts of the platform end to end.

• Take the gnarly production problems nobody else has picked up.

• Make every product engineer faster — dev experience, deploy speed, abstractions.

• Build the agentic workflows that speed up you and your team.

• You've rewritten an entire service in a couple of days because the technical debt annoyed you.

• You've broken prod, seen what went wrong, and learned from it.

• You ship fast, but never without rigorous testing.

• You get excited about complex problems with lots of constraints and edge cases.

• You care as much about the user journey as the technical requirements.

Tech stack: Python/FastAPI, PostgreSQL, Redis, Temporal/SQS, Terraform, AWS

Location. About 60% of the team is in San Francisco and the rest are remote, mostly US-based.

• If you're in SF: you'll be in the office most days. We think the best work happens in person. Most of the team is here five days a week, and a few do three or four days depending on family or long commutes.

• If you're remote: we're open to remote for some roles. We fly remote teammates to SF for three to four days a month.

Visa sponsorship. We sponsor visas: H1B, O1, EB1, L1, STEM + OPT, and more. We can't successfully sponsor for every role and every candidate, but if we make you an offer we'll make every reasonable effort, and we retain an immigration law firm to help.

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

• Equity on employee-friendly terms, including early exercise and extended exercise windows with a combination of ISOs and RSUs. Ask us for more details!

• Health, dental and vision. We cover 100% of the premium on the Anthem Blue Cross Gold PPO, and 75% of premiums for dependents. (US)

• 401(k) with up to a 4% match. (US)

• 16 weeks of paid parental leave (12 weeks for non-birthing parent).

• Flexible time off and company holidays.

• All meals in the office, plus commuter benefits and relocation reimbursement if you’re moving to San Francisco.

• A high-spec laptop, monitor, and a whisper-friendly microphone.

• Regular team events and off-sites.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We’re designing how humans interact with AI, which makes representation even more important, and we strive to include a range of diverse perspectives on our team.

We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.