Enterprise Applied AI Engineer

About the role

We're building out our Enterprise go-to-market team, and we're hiring our first Applied AI Engineers dedicated solely to enterprise deals. You'll be the technical counterpart to our Enterprise Account Executives on a focused set of strategic accounts: large companies bringing voice AI into products and operations used by millions of people.

You'll go deep into each customer's technical organization, earn trust from the developers up to the CTO, and run evaluations rigorous enough to stand up to world-class data science teams and developers. Working collaboratively with Enterprise AEs, you'll own the technical path to vendor selection.

What you'll do

• Act as the technical lead on strategic enterprise deals, from discovery through vendor selection and production rollout
• Map and multi-thread the customer's technical organization (developers, data science and evaluation teams, platform, security), building champions at each level
• Design and run evaluations with customers: agree on success criteria, test sets, and metrics up front, and correct flawed methodology before it shapes the outcome
• Present evaluation results and technical recommendations to engineering leaders and executives
• Advise on architecture, deployment options, scaling, concurrency, data privacy, and compliance
• Lead the technical side of security reviews, RFPs, and questionnaires, running in parallel with your AE's commercial and legal track
• Build proofs of concept and production pilots on the customer's stack, and support A/B tests in production
• Work onsite with customers for workshops, evaluation reviews, and implementation planning
• Partner with Research and Engineering on enterprise requirements, and bring the enterprise voice of the customer into the roadmap
• Hand off cleanly to our post-sale Forward Deployed Engineers once AssemblyAI is selected, and stay close through launch
• Help build the enterprise technical playbook: evaluation frameworks, reference architectures, and templates the team can reuse

What you'll need

• Significant experience in an enterprise customer-facing technical role
• A strong track record of closing enterprise business as the technical counterpart in the sales cycle
• Experience leading multi-month technical evaluations with large organizations and many stakeholders
• Strong programming skills in Python and/or TypeScript/JavaScript, and the ability to read and debug code in other languages
• Fluency in ML evaluation: metrics, test set design, and what makes a benchmark fair
• Working knowledge of cloud infrastructure (AWS, GCP, Azure), enterprise security and compliance (SOC 2, HIPAA, GDPR), and data residency
• Excellent communication with every audience, from a developer debugging a WebSocket to a CTO deciding on a vendor
• Comfort with real-time streaming APIs, WebSockets, and audio fundamentals
• Fluency with AI tools like Claude or Cursor
• The autonomy and judgment to run your own accounts with little oversight
• Must be based in San Francisco, New York City, or London, with an expectation of 3 days a week in-office attendance
• Willing to travel roughly 25–40% of the time for customer onsites, events, and team offsites

Nice to have

• Experience with speech, audio, or voice AI products
• Experience selling into contact center, healthcare, or other regulated industries
• Experience at a high-growth startup or API-first infrastructure company
• Public speaking or conference experience

The range provided applies to candidates located in the United States and London, UK. For candidates outside of these locations, compensation ranges may differ; any adjustments will be communicated throughout the interview process.

Salary range (US): $240,000 – $300,000 OTE

Salary range (London): £145,000 – £175,000 OTE

The expected total compensation for this role is listed above (including base salary and variable pay). Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our San Francisco, New York City or London office. A 401k match up to 4% is offered to all US-based full time team members.