About the role:

We’re looking for a Forward Deployed Engineer to drive new-customer activation across our product lines. This person will own the front of our GTM funnel—the moments between a developer’s first API call and their first month of production traffic—proactively reaching out as usage ramps, debugging deep into customer code when a deal stalls on a technical blocker, tuning model configurations to fit each use case, and stewarding leads through the security, paperwork, and architecture decisions it takes to get to consistent production usage.

This person should have a strong software-engineering background paired with the instincts of a great seller, being equal parts engineer and quota-carrier, and be deeply interested in the developer experience of building with voice AI.

This is a cross-functional role that requires partnership with our Sales, Support, Product, and Engineering teams. You’ll be willing to wear many hats, passionate about unblocking customers, and excited to operate with high energy across many concurrent leads with expansive ownership.

What You’ll Do:

• Own a portfolio of in-flight leads across AssemblyAI’s product lines, driving them from first API call to consistent production usage against a quarterly new-customer goal.
• Reach out proactively the moment a developer’s usage ramps, diagnosing what’s blocking them from scaling and removing it before they go quiet.
• Read unfamiliar customer codebases quickly and ship working patches alongside their engineers, debugging real-time audio, WebSocket, and latency issues directly in their service.
• Tune model configurations for each use case—end-of-turn detection, keyterms, language coverage, async vs. real-time—and translate the tradeoffs to technical and non-technical stakeholders alike.
• Run discovery and architecture conversations about customer use cases, knowing when to push back and when to lean in.
• Steward technical wins through to commercial close: DPAs, MSAs, security reviews, stakeholder mapping, and multi-threading the buying team.
• Hand off graduated accounts cleanly with the context and written history required for a smooth transition.
• Aggregate lead feedback into structured signals for Product and Engineering, making sure the self-serve experience improves measurably because of the patterns you surface.
• Build internal tooling—agents, dashboard, AI workflows—that help the team operate ahead of the wave as lead volume grows.

What You’ll Need:

• 2+ years of relevant experience as a software engineer, forward-deployed engineer, sales engineer, solutions architect, technical account manager, or similar customer-facing engineering role.
• Strong hands-on engineering skills—comfortable reading an unfamiliar Python or JavaScript/Node service, finding the bug, and writing the patch.
• Working fluency with real-time and streaming protocols, including WebSockets, audio pipelines, and latency budgets.
• Track record of carrying a number—net new customers, activation rate, expansion ARR, or similar—and consistently hitting it.
• Excellent written and verbal communication skills. You’ll be the primary face of AssemblyAI in hundreds of customer Slack channels, email threads, and in-person or virtual meetings concurrently.
• Aggressive use of AI tooling in your own workflow (Claude Code, Cursor, Devin, custom agents); bonus if you’ve built or shipped your own.
• High sense of urgency and ownership, with the ability to manage multiple concurrent deals and context-switch frequently.
• Prior experience with voice AI, ASR, speech-to-text, telephony, or audio infrastructure is a plus.

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.

Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range.

The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process.

Salary range: $150,000 - 200,000 OTE

The expected total compensation for this role is listed above (including base salary and commission). Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our San Francisco or New York City office. A 401k match up to 4% is offered to all US-based full time team members.

About the Role:

We’re looking for a Forward Deployed Engineer to join our Success team and ensure customers have an outstanding experience throughout their journey with AssemblyAI. You will onboard new customers, help them realize their product vision, and explore leading-edge use cases within voice AI.  This requires that you work directly with customers to integrate our voice AI models directly into current and future product features. You will use your technical expertise to plan and execute on our customers’ overall needs within voice AI, helping them choose the right plans, models, and use cases.

As part of our Go to Market Team (GTM) team, you’ll collaborate with Sales, Support, Engineering, Research, and Product to ensure customers get the most out of our products. You’re goal is to use customer feedback to drive our product roadmap. Your creativity and problem-solving skills will be key in finding unique solutions for each customer’s needs. Additionally, you will play a pivotal role in ensuring customers are on the right plan and commercial agreement for their use cases with AssemblyAI.

What You’ll Do:

• Serve as the primary point of contact for customers, ensuring their needs are met throughout their journey with AssemblyAI.
• Evaluate customer use cases and proactively identify opportunities to integrate voice AI into their product roadmaps.
• Manage a portfolio of technical customers, primarily communicating asynchronously and ensuring timely, high-quality support.
• Lead commercial and project meetings, focused on demonstrating the value of our voice AI capabilities.
• Drive growth in customer usage of the API across varying product offerings and end customer use cases.
• Build strong connections with our customers to ensure their long-term success with our platform.
• Act as a thought leader and customer advocate, providing insights and feedback to drive the future direction of our product roadmap.

What You’ll Need:

• Have 4+ years of experience as a technical account manager, account manager, solutions architect, sales engineer, or technical consultant.
• Preferred experience working with SQL, Python, React, and web development frameworks.
• Familiarity with AI/ML tools is a strong plus.
• Passion for AI technology and a strong desire to apply it to real-world customer challenges.
• Ability to proactively identify opportunities for voice AI integration and create detailed execution plans.
• Are willing to wear many hats (software engineer, product manager, account manager, and support), passionate about unblocking issues for customers, and excited about problem-solving.
• Operate with high energy, adept at frequent context switching, and capable of managing multiple projects simultaneously with expansive ownership.

Pay Transparency

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.

Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range.

The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process.

Salary range: $140k - $240k OTE

The expected base compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote. 401k match up to 4% for US-based full time team members.

About the role:

We’re looking for AssemblyAI’s founding Enterprise Account Executive to own a book of strategic accounts and drive revenue across AssemblyAI’s Voice AI infrastructure offerings. This person will generate pipeline in target accounts, develop strong champions, lead model evaluations, and win over enterprise engineering and product leaders. The ideal candidate has a strong background in enterprise infrastructure or API sales, thrives on building pipeline from scratch, and is energized by working with technical buyers on products that win on performance and developer experience.

This is a cross-functional role that requires close partnership with Applied AI, Research, Engineering, Marketing, and Deployment to shape go-to-market strategy and deliver an exceptional customer experience from first touch through deployment and beyond.

What You’ll Do:

• Own a book of enterprise accounts, leading potential customers across the full sales cycle from prospecting through initial production rollout
• Generate pipeline through proactive, creative outbound - including personalized outreach, conferences, exclusive events, and finding warm introductions
• Craft outbound communications that deliver real value to prospects - custom benchmarks, competitive insights, use-case-specific demos that earn replies
• Develop authentic champions within target accounts who advocate for AssemblyAI internally and help shepherd deals to close
• Engage multiple leadership stakeholders in parallel - CTO, CPO, VP Engineering, VP Product, VP of AI, and other technical decision-makers - to build consensus and de-risk deals
• Position AssemblyAI’s value and pricing against alternatives with clear, quantitative and qualitative differentiation
• Drive urgency through business value at every touchpoint, keeping deals moving forward with intent
• Quarterback complex, multi-threaded deals - bringing insights, perspective, and momentum to every customer interaction
• Partner closely with Customer and Technology Teams to represent the enterprise voice of the customer and shape go-to-market strategy

What You’ll Need:

• 4+ years of enterprise infrastructure or API sales experience closing large deals with engineering and product audiences
• A track record of building pipeline from scratch - experience breaking into cold accounts and creating opportunities where none existed
• Technical fluency - comfortable discussing API architectures, model accuracy tradeoffs, and deployment options with engineers and technical decision-makers
• Demonstrated ability to identify and develop champions who advocate internally on your behalf
• A high sense of urgency and ownership; you move deals forward and don’t let them go stale
• Comfort selling in a frictionless, product-led motion where customers stay because the product wins
• Deep understanding of enterprise procurement, legal, and security review processes, with the ability to drive velocity through complex commercial cycles
• A willingness to travel to drive impact - expect to be on the road 50%+ of each month for customer visits, industry events, and team offsites

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.

Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range.

The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process.

Salary range: $300,000 - $370,000

The expected total compensation for this role is listed above (including base salary and commission). Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our San Francisco or New York City office. A 401k match up to 4% is offered to all US-based full time team members.

About the Role

We are looking for a Senior Research Engineer to join our streaming speech-to-text research team—a new role that sits at the intersection of research, product, and engineering.

You'll be the person who makes sure we're measuring the right things, benchmarking against the right competitors, building and extending evaluation tooling and translating customer pain points into quantifiable research targets. You'll own the evaluation infrastructure that tells us whether our models are actually better—and by how much.

This role is ideal for someone with a Machine Learning / Research Engineering background who is obsessed with understanding what customers actually need, and who gets satisfaction from turning vague feedback ("the model feels slow") into concrete metrics that the whole team can align around. You're comfortable talking to customer-facing teams one hour, designing a new evaluation framework the next, and then convincing researchers why it matters.

You'll also operate at the frontier of the voice agent ecosystem. Our streaming product integrates with orchestration frameworks like LiveKit, Pipecat, and Vapi, and you'll need to understand how ASR fits into the broader voice agent stack—alongside VAD, turn detection, TTS, and LLM components. As this stack evolves rapidly, you'll help ensure our evaluations reflect real-world integration scenarios.

You'll work directly with our research and engineering teams and become the connective tissue between what customers need and what researchers build. If you're entrepreneurial, rigorous about measurement, and want to have an outsized impact on the success of a rapidly growing product, this is your role.

What You'll Do

Evaluation & Benchmarking

• Own end-to-end and integration-level model evaluation across accuracy, latency, and feature-specific metrics (e.g., turn detection latency, endpointing accuracy) 
• Build and maintain competitive benchmarking pipelines against other providers in the market
• Design and run systematic experiments to measure the impact of model changes

Dataset & Test Set Management

• Onboard, curate, and maintain evaluation datasets—both public benchmarks and internal test sets
• Create evaluation subsets that stress-test specific capabilities and edge cases

Metric Development & Research Translation

• Define evaluation metrics that capture real-world performance
• Translate qualitative customer feedback into quantifiable evaluation criteria
• Work with customer-facing teams to understand pain points and convert them into research priorities

Research Velocity

• Reduce friction for researchers by maintaining clean evaluation pipelines and clear documentation
• Identify evaluation gaps proactively and propose solutions
• Move fast—iterate on benchmarking approaches weekly, not monthly

What You'll Need

• ML fundamentals: You understand how ML models are trained and evaluated well enough to interpret results and debug issues. You don't need to train them from scratch.
• Strong Python skills: You can write clean evaluation scripts, work with data pipelines, and are comfortable with SQL and cloud infrastructure.
• Metric intuition: You understand what makes a good evaluation metric, when to use relative vs. absolute improvements, and how to ensure statistical rigor.
• Voice agent stack familiarity: You understand how the components of a voice agent system interact—VAD, ASR, turn detection, LLM, TTS—and can reason about how changes in one affect the others.
• Tinkerer mentality: You'd rather ship something rough and iterate than spend weeks perfecting it. You're energized by variety.
• Communication skills: You can explain technical results to researchers, summarize findings for leadership, and translate customer feedback into requirements.
• Ownership mindset: You don't wait to be told what to evaluate. You see gaps and fill them.
• Will need to work at least 3-4 hours overlapping with Eastern US Time Zone

Nice to Have

• Experience with speech/audio ML or real-time systems
• Hands-on experience with voice agent orchestrators (LiveKit, Pipecat, Vapi, or similar)
• Familiarity with standard ML evaluation practices and benchmarks
• Experience working with customer-facing or product teams
• Background in QA, data science, or applied ML roles

What Success Looks Like

First 30 days: You've onboarded to our evaluation infrastructure, run your first competitive benchmark, and identified one gap in how we measure model quality.

First 90 days: You own our competitive benchmarking process. Researchers come to you to understand how their changes affect real-world metrics. You've proposed a new metric for a capability we weren't measuring well. 

First 6 months: You're the go-to person for "how do we know if this is actually better?" You've built relationships with customer-facing teams. Your work directly influences which research directions we prioritize. You maintain benchmarks that reflect both standalone ASR quality and integrated voice agent performance.

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $210,000 - $260,000