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
Pay transparency
AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.
Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range.
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.