Sr. Analytics Engineer
About AssemblyAI
At AssemblyAI, we’re building at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding available through a straightforward API. With more than 200,000 developers building on our API and over 5,000 paying customers, AssemblyAI is helping unlock and support the next generation of powerful, meaningful products built with AI.
Progress in AI is moving at an unprecedented pace– and our team is made up of experts in AI research that are focused on making sure that our customers are able to stay on the cutting edge, with production-ready AI models that are constantly updating and improving as our team continues to improve accuracy, latency, and what’s possible with Speech AI. Our models consistently rank highest in industry benchmarks for accuracy, outperforming models from Google and Amazon, and up to 30% fewer hallucinations than OpenAI’s Whisper. Our models power more than 2 billion end-user experiences each day, helping companies better understand customer feedback, run more productive meetings with automated meeting notes, and helping improve childhood literacy via ed tech tools.
We’ve raised funding by leading investors including Accel, Insight Partners, Y Combinator’s AI Fund, Patrick and John Collision, Nat Friedman, and Daniel Gross. We’re a remote team looking to build one of the next great AI companies, and are looking for driven, talented people to help us get there!
About the role:
AssemblyAI is growing quickly, and we’re searching for a driven Sr. Analytics Engineer to join our growing team! With significant investment and strong leadership to fuel our growth, it’s the perfect time to join the AssemblyAI team.
What You’ll Do:
- Using advanced SQL, you will transform data from raw data sources into usable tables to power critical self-serve data artifacts and impactful analytics use cases (e.g. metrics, dashboards) to empower data consumers
- Act as a leader in defining data infrastructure and logging needs in partnership with Data Engineering, Product Engineering, and Data Infrastructure teams
- Apply and promote software engineering best practices within the analytics workflow (ex: version control, testing)
- Improve data availability, quality, and provide reliable access to data for the business
- Implement exploration tools and dashboards to help cross-functional stakeholders glean insights for their functional area
- Deliver insights through ad hoc analyses and data extractions to resolve important business needs
- Identify process improvements, contribute to our documentation, and share best practices with the team and our end-users
What You’ll Need:
- 5+ years of professional experience as an analytics engineer, data analyst, product analyst, data engineer or data scientist
- Expert in SQL
- Hands-on experience with data infrastructure, data modeling and reporting in data visualization tools (Looker experience required)
- Strong written and verbal communication skills with the ability to explain technical concepts to a non-technical audience
- Strong business acumen and product intuition
- Experience using any of the following software/tools strongly preferred but not required: Github, Rudderstack, BigQuery, dbt, Apache Airflow, Fivetran
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, benefits and other reward opportunities we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and 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.
Lastly, 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 again, will be communicated to candidates.
Salary range: $160K - $182,500K
Working at AssemblyAI
We are a small but mighty group of startup veterans and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we’re looking for people to join our team who are ambitious, curious, and lead with integrity. We’re still in the early days of AI and of AssemblyAI’s journey, and are looking for teammates who won’t just fit in, but will help us define and build our company culture.
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!
Keep Exploring AssemblyAI:
Learn more about AI models for speech recognition
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