Enterprise Applied AI Engineer

Location: Must be based in San Francisco, New York City, or London, with 3 days per week in-office attendance. Work onsite with customers and travel approximately 25–40% of the time.

Salary range: $240,000–$300,000 OTE in the United States; £145,000–£175,000 OTE in London, UK. Compensation includes base and variable pay.

Company

hirify.global builds Voice AI models and proprietary inference infrastructure powering voice applications at significant scale.

What you will do

• Lead the technical path for strategic enterprise deals from discovery through vendor selection, production rollout, and launch.
• Map customer technical organizations and build relationships with developers, data science, platform, security, engineering, and executive stakeholders.
• Design and run customer evaluations by defining success criteria, test sets, metrics, and rigorous methodologies.
• Present evaluation results and technical recommendations; advise on architecture, deployment, scaling, concurrency, privacy, and compliance.
• Lead security reviews, RFPs, questionnaires, proofs of concept, production pilots, and production A/B tests.
• Partner with Research and Engineering on enterprise requirements, contribute to the roadmap and technical playbook, and hand off selected customers to Forward Deployed Engineers.

Requirements

• Significant experience in an enterprise customer-facing technical role and a strong record of closing enterprise business as the technical sales counterpart.
• Experience leading multi-month technical evaluations with large organizations and many stakeholders.
• Strong programming skills in Python and/or TypeScript/JavaScript, with the ability to read and debug other languages.
• Fluency in ML evaluation, including metrics, test-set design, and fair benchmark methodology.
• Working knowledge of AWS, GCP, or Azure; enterprise security and compliance including SOC 2, HIPAA, and GDPR; and data residency.
• Excellent communication with developers through CTO-level stakeholders.
• Experience with real-time streaming APIs, WebSockets, and audio fundamentals.
• Fluency with AI tools such as Claude or Cursor, plus autonomy and judgment to run accounts with little oversight.
• Must be based in San Francisco, New York City, or London and attend an office 3 days per week.

Nice to have

• Experience with speech, audio, or Voice AI products.
• 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.

Culture & Benefits

• Flat, meritocratic environment with substantial ownership and direct access to tools and information.
• Work alongside a team solving Voice AI problems involving 500M+ monthly inference calls and nearly 2 million hours of audio daily.
• 100% employer-paid benefits and competitive equity grants.
• 401(k) match of up to 4% for US-based full-time employees.
• Regular customer onsite work, events, team offsites, and 25–40% travel are expected.

Hiring process

• Interview candidates may use AI during the application, take-home assignment, and interviews according to the provided Candidate AI Guidance.
• Applicants from the EU or UK should review the GDPR Job Applicant Privacy Notice before applying.