Enterprise GTM
Hamming AI
Enterprise GTM
Hamming AI
Automated testing for AI voice agents
Location: SF, NYC, London, or Austin
Employment Type: Full-time (no contractors)
Department: GTM
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.
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We're hiring an enterprise seller. You own a small book of strategic accounts end-to-end: account planning, outbound, discovery, technical validation, pilots, procurement, close, and expansion. Voice AI is a technical sale at the enterprise tier. You'll be on calls with CTOs, VPs of AI, contact center leaders, CISOs, and procurement weekly. We're optimizing for one person who can quarterback a complex deal across 6–15 stakeholders, not run plays from a script.
- Own a focused book of named enterprise accounts. Build account plans with explicit entry points, champions, and economic buyers.
- Drive outbound at the account level: personalized, research-heavy, multi-channel (email, LinkedIn, calls, events, exec intros). Quality over volume.
- Run technical discovery and demos with engineering, product, AI/ML, contact center ops, security, and compliance stakeholders.
- Lead structured pilots and evaluations with clear success criteria, timelines, and signed mutual action plans. Enterprise pilots have measurable exit criteria before they start.
- Multi-thread aggressively: map the org, develop multiple champions, secure executive sponsorship, and build consensus across technical and business buyers.
- Translate technical product value into quantified business outcomes
- Navigate enterprise procurement end-to-end: SOC 2, DPAs, BAAs, data retention, region pinning, MSAs, redlines, vendor security reviews. You drive these forward with our internal teams, not hand them off.
- Forecast accurately. Clean CRM hygiene. Mutual action plans on every active deal. 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 paths, and run land-and-expand motion across the account.
- Week 1: ramp on product, common failure modes in voice agents, enterprise ICP, competitive landscape, and security posture. Shadow calls. Demo-certified.
- Day 14: account plans are complete for top 10 named accounts. Active outbound running. Running discovery and technical demos independently. First multi-stakeholder calls booked.
- Day 30: leading 3–5 active enterprise evaluations with signed mutual action plans, security review in motion, and multi-threaded stakeholder alignment.
- Day 60: first enterprise close or one deal in late-stage procurement. Repeatable motion documented for at least one segment
We don't hire GTM from resumes. We care about whether you can think, write, and sell into rooms full of skeptical technical buyers. Atypical backgrounds welcomed: ex-founders, FDEs, solutions architects who moved into sales, lawyers, and operators who closed strategic deals at small teams.
Traits we look for:
- High agency: you build a pipeline, develop champions, and push deals forward without waiting for marketing, BDRs, or playbooks.
- Strong writing: you can write a discovery summary, a business case, and an exec email that lands.
- Curiosity for technical depth: comfortable in calls with engineering and AI teams.
- Operational rigor: forecasting accuracy, clean systems, signed MAPs, and keeping commitments to customers and internal teams.
- Sharp discovery and qualification: you isolate real pain, quantify impact, identify the economic buyer, and map the full buying process, including procurement and security.
- Coachable and competitive: you take feedback well, and you want to win the logo.
- Quota-carrying enterprise closing experience ($1M+ ACVs, 6+ month cycles, deals with 8+ stakeholders).
- Experience selling developer tools, infra, observability, testing, security/compliance, or AI platforms into an enterprise.
- 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) and running security-heavy procurement end-to-end.
- Strong track record of land-and-expand inside Fortune 1000 accounts.
- Startup experience (Seed–Series B) with ambiguity and fast iteration.
- Outcomes over output: we adjust roadmaps when new data lands.
- Direct, candid, respectful communication keeps remote teammates in lockstep with Austin HQ.
If you want to help build the backbone of reliable Voice AI and you love owning complex, multi-stakeholder enterprise cycles from first call to expansion, we'd like to meet you.
Email a short note (no formal cover letter needed) to [email protected]. Keep it concise and specific.
Automated testing for AI voice agents
Hamming AI provides a platform-as-a-service for automated testing and monitoring of AI voice agents used in customer support. It runs large-scale simulations of thousands of calls across diverse accents and real-world scenarios, collects metrics, analyzes speech understanding and response accuracy, and flags issues, with built-in testing workflows, analytics, and governance. It differentiates itself by offering high-scale, diverse-accent voice-call simulation together with analytics and governance in one platform for AI-driven customer service like drive-through and phone support, aimed at preventing issues before deployment and during ongoing operation. Its goal is to help businesses deliver reliable, accurate, and efficient voice AI customer service, improving customer experiences and operational efficiency.
Explore more opportunities at Hamming AI