AI Product Engineer / Forward Deployed Engineer

We are looking for an AI Product Engineer / Forward Deployed Engineer with 0–3 years of experience to own features end-to-end while working directly with enterprise customers to translate their needs into shipped product. You'll be joining a 17-person YC-backed team that invented the voice agent QA category, deploys 4x/day, and is scaling rapidly into Fortune 100 accounts.

About Hamming AI

Hamming AI is the complete trust platform for voice agents — from pre-deployment testing through red-teaming to production monitoring. Three pillars: simulation (thousands of synthetic calls before launch), red-teaming (adversarial agents probing for jailbreaks, prompt injection, PII leaks), and observability (trace what actually happened on a live call). We run on top of LiveKit, Pipecat, Retell, Vapi, ElevenLabs, etc.

Scale today: 10M+ production voice agent calls analyzed, 10K+ agents tested. Customers across regulated verticals (healthcare, financial services, telecom). Top-100 banks in production. Capital-efficient, real revenue, not a pre-PMF bet.

Why Hamming: Voice AI is one of the hottest application categories in AI. Hamming sits at the picks-and-shovels layer — every voice agent team needs evals, nobody wants to build that infra themselves. Engineering culture is small, senior-heavy, low-procrastination, ships fast. Founder writes code. Ranked #1 eng team on Weave for 6+ months. Sufficiently early that you actually get to build the future, late enough that you have real customers, real load, and real money.

What will you be doing?

• Interface daily with enterprise customers (technical engineers building voice agents) to understand gaps, then spec and ship the solution yourself — no handoffs
• Own product features end-to-end: discovery → prototype → ship → iterate, across frontend and backend
• Support POC and post-sales customer success for enterprise accounts, acting as a high-agency technical partner
• Turn complex customer feedback into reusable Hamming platform capabilities — solve the problem fast, then productize it
• Use AI coding tools (Cursor, Claude, Codex) as a core part of your daily workflow to ship at startup speed

Key Requirements

• AI-native workflow — you actively use Cursor, Claude, or Codex daily and can demonstrate it concretely
• Strong product and design sense — ability to take a vague customer ask and translate it into a crisp, shippable feature without a detailed spec
• Comfortable and effective in customer-facing interactions with technical stakeholders (engineers, not just PMs)
• Ability to ship — proficient in TypeScript and Python; you write and own the code, not just the spec
• Degree from one of the 18 target universities listed in the Paraform brief (hard requirement)