GTM Engineer

Location: SF, NYC, London, or Austin

Employment Type: Full-time (no contractors)

Department: GTM

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

Ranked #1 Eng team

OpenAI Dev Day 100billion token list

The role

We're hiring a GTM engineer. Not an SDR. Not an AE. You own the customer journey end-to-end: outbound, discovery, demos, technical validation, closing, and expansion. Voice AI is a technical sale, so you'll be on screen shares with CTOs and AI teams every week. You don't need to be an engineer, but you do need to be curious enough to understand the product deeply. We're optimizing for one person who can run their own pipeline, not a split SDR/AE motion.

What you’ll do

• Outbound pipeline generation across email, LinkedIn, calls, and events.

• Discovery, demos, and technical validation with engineering, product, AI/ML, contact center ops, and security/compliance stakeholders.

• Full-cycle close

• Multi-threaded deals: map the org, identify champions, and build consensus across technical and business buyers.

• Translate technical product value into quantified business outcomes

• Structured pilots and evaluations with clear success criteria, timelines, and decision processes.

• Navigate security and procurement (SOC 2, DPAs, BAAs where relevant, data retention, region pinning, and access controls) alongside our internal teams.

• Clean CRM hygiene: forecasting accuracy, mutual action plans, deal notes, next-step discipline.

• Tight feedback loops to product and engineering on objections, competitive context, and pilot learnings.

Post-close partnership with customer success: clean handoff, identify expansion.

What success looks like (60 days)

• Week 1: ramp on product, common failure modes in voice agents, ICP, and messaging. Shadow calls. Demo-certified.

• Day 14: running discovery and first-call demos independently. Generating a qualified pipeline through outbound.

• Day 30: leading 2–4 active evaluations with clear success criteria and multi-threaded stakeholder alignment.

• Day 60: closing initial deals and building a repeatable motion for at least one segment (persona + use case + evaluation plan).

Who you are

We don't hire GTM from resumes. 200 SDR/AE resumes all look the same. We care about whether you can think, write, and sell. Atypical backgrounds are welcomed: ex-founders, consultants, chiefs of staff, FDEs, and operators from small teams.

Traits we look for:

• High agency: you proactively create opportunities and push deals forward without chaos.

• Strong writing

• Curiosity for technical depth: comfortable in calls with engineering and AI stakeholders.

• Operational rigor: forecasting accuracy, clean systems, and keeping commitments.

• Sharp discovery and qualification: you isolate real pain, quantify impact, and map the buying process.

• Coachable and competitive: you take feedback well, and you want to win.

Bonus points

• Quota-carrying closing experience in B2B SaaS (mid-market or enterprise).

• Experience selling developer tools, infra, observability, testing, security/compliance, or AI platforms.

• Familiarity with voice AI stacks (telephony/WebRTC, STT/TTS, LLM tool calling, orchestration) and how they fail in production.

• Experience selling into regulated industries (BFSI, healthcare) or running security-heavy procurement.

• Startup experience (Seed–Series B) with ambiguity and fast iteration.

How we work

• Outcomes over output: we adjust roadmaps when new data lands.

• Demo early and document decisions so context moves fast.

• Own incidents: lead the investigation, write crisp notes, land durable fixes.

• Direct, candid, respectful communication keeps remote teammates in lockstep with Austin HQ.

Apply

If you want to help build the backbone of reliable Voice AI and you love owning complex, high-velocity sales cycles from first call to close, we’d like to meet you.

Email a short note (no formal cover letter needed) to [email protected]. Keep it concise and specific.