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