About this role
Summary: The Enterprise Applied AI Engineer serves as the technical counterpart to Enterprise Account Executives, managing strategic deals for large-scale voice AI implementations. Responsibilities include conducting rigorous technical evaluations, designing proof-of-concepts, and advising on architecture and compliance for...
### Why AssemblyAI
AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. We have a lab, and we also power our own models in our own proprietary inference environment. Our models serve 500M+ inference calls monthly, and process nearly 2 million hours of audio daily. The Voice AI space is at an inflection point; we’re looking for the best talent we can find to join a rapidly scaling team that's defining the future of the industry.
We are one of the most capital-efficient AI companies on the planet - and are rapidly approaching $1M ARR per employee. We sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. We have thousands of customers building with us including the top startups and world-renowned enterprises, and are serving at tremendous scale: we process nearly 2 million hours of audio daily and handle more than 15 million API calls every day. This is a rare growth-stage opportunity where the business is proven, the revenue is durable, and the growth trajectory is steep and getting steeper. We have a super flat culture and expect our employees to be deeply intimate with the details at all levels.
If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name.
### 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.
Using AI in your interview
If you’re selected for an interview, please read our [Candidate AI Guidance](https://www.assemblyai.com/candidate-ai-guidance). It explains how you can use AI at each stage of our process, from your application and take-home to the interviews themselves.
GDPR privacy notice
If you’re applying from the EU or UK, please review our [Job Applicant Privacy Notice](https://www.assemblyai.com/legal/gdpr-job-applicant-and-worker-privacy-notice) before applying.
Keep exploring AssemblyAI
Transcribe: [Speech-to-Text](https://www.assemblyai.com/products/speech-to-text) | [Streaming Speech-to-Text](https://www.assemblyai.com/products/streaming-speech-to-text)
Understand: [Speech Understanding](https://www.assemblyai.com/products/speech-understanding) | [LLM Gateway](https://www.assemblyai.com/products/llm-gateway)
Interact: [Voice Agent API](https://www.assemblyai.com/products/voice-agent-api) | [Dictation API](https://www.assemblyai.com/products/dictation-api)
[Try our models in the Playground](https://www.assemblyai.com/playground)
[See how 50+ LLMs rank on real voice tasks: Voice Standard Bench](https://www.assemblyai.com/blog/voice-standard-bench)
[Watch us on YouTube](https://www.youtube.com/@AssemblyAI)