# Product Engineer

**Company:** [Hamming AI](https://zerogtalent.com/ai-companies/hamming-ai)
**Location:** San Francisco, CA, US
**Work mode:** On-site
**Seniority:** Mid
**Employment type:** Full Time
**Salary:** USD 140K–200K/yr
**Category:** Aerospace Engineering
**Listed:** 2026-03-24

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/hamming-ai/product-engineer-69910)

## Job description

**Location: San Francisco, CA**

**Employment Type: Full-time (no contractors)**

**Department: Engineering**

### **About Hamming AI**

Hamming automates QA for voice AI agents. Everyone is building voice agents. We secure them. In fact, we invented this category. With one click, **thousands of our agents call our customers’ agents** across accents, background noise, and personalities—then we generate **crisp bug reports** and production-grade analytics. Reliability is the moat in voice AI, and that’s our whole job.

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.

## Other open roles at Hamming AI

- [Backend / Infra Engineer](https://zerogtalent.com/ai-jobs/hamming-ai/backend-infra-engineer-69911) — San Francisco, CA, US

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*