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Open nowPosted 277 days ago

Product Engineer

hamming ai5 open roles

Where
Austin
Work mode
Hybrid
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Your applicationOpen nowProduct Engineerhamming ai · Austin

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Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 277 days ago

The posting

Location: Remote (North America) or Austin, TX

Employment Type: Full-time (no contractors)

Department: Engineering

ABOUT HAMMING AI

Hamming builds three products for voice and chat AI agents: testing/simulation to validate behavior before launch; red-teaming to probe for prompt injection, jailbreaks, PII leakage, and policy violations; and production monitoring/observability to detect failures in live conversations and turn them into regression tests.

We are one of the fastest engineering teams in the world. We prod deploy 4x / day. I’m looking for someone who can own reliability and scale across our LLM-enabled platform, shipping precise, outcome-driven improvements to high-availability systems.

— Sumanyu (CEO)

Previously: grew Citizen 4× and scaled an AI sales program to $100Ms/yr at Tesla.

Devin Case Study https://devin.ai/customers/hamming

Ranked #1 Eng team https://www.linkedin.com/posts/andrew-d-churchill_sumanyu-ceo-at-hamming-ai-had-20x-the-output-activity-7354564854029901824-jSDP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAh-eI0Bl3EbQhXGlnjcZ4TbyeByvoh32hg

OpenAI Dev Day 100billion token list https://www.linkedin.com/posts/sumanyusharma_openaidevday-activity-7381718141455859712-OPhA?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAh-eI0Bl3EbQhXGlnjcZ4TbyeByvoh32hg

WHAT YOU’LL DO

- Own product features end-to-end: spec → prototype → ship → iterate, across frontend and backend.

- Work closely with customers: onboard new accounts, run weekly check-ins, and act as a high-agency partner to drive adoption and outcomes.

- Build core customer workflows for voice-agent QA: test creation, scenario management, evaluation results, analytics, debugging, and triage.

- Turn messy, high-dimensional data (calls, transcripts, tool events, traces, eval outputs) into product experiences that are obvious and actionable.

- Partner with customers to understand their reliability pain, then translate it into shipped product with measurable outcomes.

- Tighten the product loop: instrumentation, funnels, and feedback so we know what’s working and what’s not.

- Maintain high engineering velocity while keeping craftsmanship: clean APIs, strong abstractions, and excellent UI polish.

YOU MIGHT BE A FIT IF YOU

1. Have 3+ years building customer-facing products in a high-velocity environment (startup experience a plus).

2. Are fluent in TypeScript and comfortable across the stack (React/Next.js + Node services).

3. Ship quickly but with discipline: you write clear code, strong tests where it matters, and avoid accidental complexity.

4. Have strong product instincts: you can simplify complex workflows into crisp UX and make good tradeoffs under ambiguity.

5. Love talking to users, diagnosing friction, and iterating until a feature feels “done.”

6. Care about reliability: you build with observability, failure modes, and data correctness in mind.

7. Communicate clearly: written specs, crisp PRs, and decisions that scale across a fast-moving team.

BONUS

- Experience building analytics-heavy products (dashboards, event pipelines, debugging tools).

- Familiarity with LLM apps, evals, tool calling, or prompt/guardrail systems.

- Experience with real-time systems, telecom/voice, or high-concurrency workflows.

- Strong UI craft: interaction design, information architecture, and performance tuning.

INTERESTING PROBLEMS YOU’LL TOUCH

- Debugging workflows for voice agents: call timelines, transcripts, tool calls, traces, and “what changed?” diffs.

- Test authoring that scales: scenario libraries, parameterization, coverage, and regression packs.

- Evaluation UX: turning model-graded / heuristic / human feedback into trustworthy signals and action items.

- Analytics that matter: reliability metrics customers can run their business on.

- Enterprise readiness in-product: RBAC, audit trails, data retention, and environment/region controls.

OUR STACK

- App: Next.js, TypeScript, Tailwind

- AI: OpenAI, Anthropic, STT/TTS providers

- Realtime/Orchestration: LiveKit, Pipecat/Daily, Temporal

- Infra/DB: AWS, k8s, PostgreSQL, Redis, Terraform

- Observability: OpenTelemetry, SigNoz

APPLY

If you want to build the product layer for reliable Voice AI, let’s talk.

Send a short note (links to work > resumes) to [email protected] and tell us about a product you shipped end-to-end: what you built, where it was painful, what tradeoffs you made, and how you knew it worked.

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