240K–300K USD / year
Enterprise Applied AI Engineer
AIHybrid — San Francisco, New York City, London
Published on 2026-11-10
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Serve as the technical lead for strategic enterprise sales, guiding customers from discovery and evaluation through vendor selection and production rollout. Design rigorous AI evaluations, advise on architecture and compliance, and partner with account executives and internal research and engineering teams.
About the company
AssemblyAI specializes in providing advanced speech recognition and AI-driven audio intelligence solutions, enabling businesses to integrate powerful voice capabilities into their applications. The company serves a diverse range of industries with innovative products and services.
The team
Enterprise go-to-market team; partner closely with Enterprise Account Executives, Research, Engineering, and Forward Deployed Engineers.
Stack
PythonTypeScriptJavaScriptAWSGCPAzureWebSocketsClaude
What you'll do
- Lead the technical side of strategic enterprise deals from discovery through rollout.
- Map customer technical stakeholders and build champions across engineering, data science, platform, and security.
- Design customer evaluations, including success criteria, test sets, and metrics; present findings to technical leaders and executives.
- Advise on architecture, deployment, scaling, concurrency, privacy, and compliance.
- Lead technical security reviews, RFPs, and questionnaires.
- Build proofs of concept and production pilots, and support production A/B tests.
- Work onsite with customers and relay enterprise requirements to Research and Engineering.
- Hand off selected customers to Forward Deployed Engineers and develop reusable technical playbooks.
What we're looking for
- Significant experience in an enterprise-facing technical role and a record of supporting enterprise deals through the sales cycle.
- Experience leading multi-month technical evaluations with large organizations and multiple stakeholders.
- Strong Python and/or TypeScript/JavaScript skills, with ability to debug code in other languages.
- Knowledge of ML evaluation, metrics, test-set design, and fair benchmarking.
- Working knowledge of cloud infrastructure, enterprise security and compliance, and data residency.
- Excellent communication with developers through executives; familiarity with real-time streaming APIs, WebSockets, and audio fundamentals.
- Comfort using AI tools such as Claude or Cursor; able to manage accounts autonomously.
- Based in San Francisco, New York City, or London; able to work in-office three days a week and travel approximately 25–40%.
Nice to have
- Experience with speech, audio, or voice AI.
- Experience selling into contact centers, 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.
- Employer-paid benefits.
- US employees receive a 401(k) match of up to 4%.