AssemblyAI

Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. 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. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! 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 c

About AssemblyAI AssemblyAI builds the best-in-class Speech AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences—from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI. We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched keyterms prompting feature and multilingual support—with more significant improvements on the roadmap. We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for people who will shape its future. About the Role We're seeking an exceptional Senior Software Engineer to join our AI Data team. This role is focused on building robust, scalable systems that power our AI data platform. You’ll work on high-impact projects that directly influence our ability to train and evaluate models at scale, with a strong emphasis on software engineering excellence, system reliability, and code quality. As a Senior Engineer, you'll drive technical execution within your team, taking ownership of significant features and components. You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and continuously improving engineering practices. This role requires close collaboration with researchers, platform engineers, and other stakeholders. You'll need to balance technical excellence with pragmatic delivery in a fast-paced startup environment.  What You’ll Do Architect Next-Gen AI Data Infrastructure Design scalable, future-proof data platforms optimized for AI research workloads Build efficient self-serve data processing pipelines leveraging GCP's advanced services Implement cost-effective storage and monitoring solutions for ML at scale Create flexible training resource management with intelligent queuing Optimize resource allocation for maximum training efficiency Participate in on-call rotation to ensure system reliability Advance Technical Excellence Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions Streamline existing workflows while introducing new tooling that further reduces complexity Enhance our tooling and documentation to accelerate team velocity and maintain our competitive edge Implement guardrails for cost, quality, and performance Identify and eliminate technical bottlenecks in the data processing and training pipelines What You’ll Need 5+ years of professional software engineering experience Strong proficiency in Python and SQL with demonstrated ability to write production-quality code Solid understanding of software engineering fundamentals: Data structures and algorithms System design and architectural patterns Testing strategies (unit, integration, end-to-end) Code review practices and technical collaboration Experience with: RESTful APIs and distributed systems concepts Containerization (Docker) and basic cloud infrastructure Track record of delivering high-quality software in a team environment Ability to thrive in a startup environment with changing priorities and rapid iteration Preferred Experience with GCP services (BigQuery, GCS, Cloud Run, GKE) Familiarity with distributed processing frameworks (Apache Beam, PySpark) Experience with workflow orchestration tools (Airflow, Prefect, Dagster) Understanding of ML/AI infrastructure and data pipelines Experience wit

About AssemblyAI AssemblyAI builds the best-in-class Speech AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences—from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI. We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched keyterms prompting feature and multilingual support—with more significant improvements on the roadmap. We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for people who will shape its future. 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 e

About AssemblyAI AssemblyAI builds the best-in-class Speech AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences—from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI. We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched keyterms prompting feature and multilingual support—with more significant improvements on the roadmap. We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for people who will shape its future. About the Role We're seeking an exceptional Senior Software Engineer to join our LLM team. This role is focused on building and maintaining our LLM gateway service—a unified API platform that connects customers to multiple LLM providers. You'll work on high-impact projects that directly solve customer problems, improve their AI and agentic workflows, and ensure reliable access to the best models for their use cases. This is a deeply customer-focused role. You'll work closely with our customer success team to understand customer challenges, help optimize their prompt strategies, build features that address their pain points, and ensure our service reliably delivers value. We're looking for someone who combines software engineering excellence with genuine curiosity about how customers use AI and a drive to make their lives better. As a Senior Engineer, you'll drive technical execution within the team, taking ownership of significant features and integrations while mentoring more junior engineers. You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and building highly reliable systems in service of solving real customer problems. This role requires close collaboration with customer success, product managers, external API providers, and other engineering stakeholders. You'll need to balance technical excellence with pragmatic delivery in a fast-paced startup environment where uptime, reliability, and customer success are critical. What You'll Do Solve Customer Problems Partner closely with the customer success team to understand customer use cases, challenges, and integration needs Translate customer pain points surfaced by the CS team into technical solutions and product improvements Build features and tooling that directly address customer needs and improve their workflows Provide technical guidance and expertise to the customer success team to help them support customers effectively Drive Technical Execution Own and deliver complete features and integrations within our LLM gateway service Build and maintain integrations with multiple LLM providers and AI services (OpenAI, Anthropic, Google Vertex, AWS Bedrock etc.) Write clean, maintainable, well-tested code following best practices Design and implement scalable, fault-tolerant solutions with appropriate abstractions Proactively identify and address technical debt, reliability issues, and code quality concerns Participate in on-call rotation to ensure service reliability and rapid incident response Elevate Engineering Standards Conduct thorough code reviews focused on maintainability, testing, reliability, and architectural concerns Ensure proper test coverage across unit, integration, and end-to-end testing levels Improve code maintainability and extensibility through targeted refactoring Contribute