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AssemblyAI

Applied AI Engineer

San Francisco, New York, London; Remote - New York; Remote - San Francisco; Remote - United KingdomRemote · United Kingdom
Customer Experience
POSTED 9 NOVVERIFIED 28M AGO
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Role
0 days opentrue age
Posted 9 Nov
Pay
$200k–$300kno pay posted
Market p25–p75
$200k–$300k
SF Bay Area · n=461 · 365d to 6 Nov
CompanyAssemblyAI →
18open roles
Opened · 30d
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Closed · 30d
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3,287open · ML / AI
Opened · 7d
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All tracked boards · live 9 Nov · n=3,287

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

Applied AI Engineers are the technical half of every deal at AssemblyAI. You'll partner with two Digital Native Account Executives and own the technical side of their book: from the first conversation with customers, to helping them win technical evaluations, to driving successful technical implementations.

Our digital native customers are the fastest-growing AI companies building with voice: voice agents, AI notetakers, dictation, and conversation intelligence. They move fast and test on their own, so speed matters at every step.

This is pre-sales engineering, but far more hands-on than a typical SE role. You'll write code for customers, build MVPs, debug their integrations, tune our models on their real audio, and do whatever it takes to make sure customers have successful implementations. Your AE owns the business case and the commercials. You own the developer and the technical work, and together you make customers happy and get them scaled up.

What you'll do

Customer-facing technical work

  • Join early, often on the first call, and become the developer's direct line to AssemblyAI in a shared communication channel (often Slack)
  • Help our customers evaluate and test our products: get their success criteria up front, help them design fair benchmarks, and catch mistakes (wrong model, bad truth files, misconfigured streams) early
  • Tweak configurations and help customers design robust implementations for their unique use cases
  • Build demos, prototypes, and proofs of concept in the customer's stack
  • Debug customer code and production issues across our streaming and async APIs
  • Stay close to the customer, earn their technical trust, and deliver first-class service that turns them into champions
  • Work collaboratively with your AEs on every account
  • Meet customers in person, including flying around the world to work with them onsite
  • Stay with the customer through production rollout, then hand off cleanly to our post-sale Forward Deployed Engineers

Product and roadmap influence

  • Influence our roadmap by bringing what you hear from customers to Product, Research, and Engineering, and test new models and features before customers see them
  • Turn customer issues into reproducible cases for Research and Engineering, and track patterns across accounts
Source · AssemblyAIFirst seen 9 NovOriginal ↗