Enterprise Applied AI Engineer

AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. The company is building out its Enterprise go-to-market team and hiring its first Applied AI Engineers dedicated solely to enterprise deals. The role is the technical counterpart to Enterprise Account Executives on a focused set of strategic accounts: large companies bringing voice AI into products and operations used by millions of people.

Responsibilities

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, building champions at each level; Design and run evaluations with customers, agreeing on success criteria, test sets, and metrics up front; 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; 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 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

Requirements

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

Benefits

Competitive equity grants; 100% employer-paid benefits; 401k match up to 4% for US-based full time team members; Working alongside the team in San Francisco, New York City, or London office