Job description

The Opportunity We're building the next generation of AI-native product experiences, where conversations turn directly into outcomes. As a Software Engineer on our engineering teams, you’ll join one of our engineering teams and help build the systems that power meeting transcription, summarization, and collaboration for users around the world. You’ll work on real production systems from day one. Depending on your team, that could mean working on user-facing features or the services and infrastructure behind them. You’ll partner closely with engineers, product, design, and AI teams to design, ship, and iterate. Your Impact Build and ship production software. Design, implement, test, and deploy features and services that serve real users at scale. Own problems end-to-end. Take work from idea through design, implementation, rollout, and monitoring. Design for real-world constraints. Make deliberate tradeoffs across latency, cost, reliability, and quality. Build clean, scalable systems. Develop backend services, APIs, and async workflows that are maintainable and built to evolve. Improve quality continuously. Use metrics, logging, user feedback, and experimentation to find problems and make systems better. Move quickly with modern tools. Use AI-assisted development and modern tooling to prototype and ship fast while keeping a high engineering bar. We're looking for someone who Has a bachelor's or master's degree in Computer Science or a related field Is a recent grad or has up to 1 year of experience building software, with a growing sense of how backend decisions impact user experience Writes clean, maintainable code in a modern language (Python, Go, Java, C++, or similar) and has a solid grasp of computer science fundamentals such as data structures, algorithms, and systems basics. Has some exposure to backend or systems concepts such as APIs, databases, distributed systems, or cloud infrastructure Thinks about outcomes, not just implementation, and cares whether what they build is reliable and useful Takes ownership of problems end-to-end and collaborates well across product, design, and AI disciplines Is comfortable operating in ambiguous, fast-moving environments and can iterate quickly on both product and technical direction Nice to haves Any experience (including coursework, projects, or internships) building backend, infrastructure, or product-facing systems Experience with cloud platforms (AWS, GCP), containers, or CI/CD Any experience with LLM-powered features or ML systems (prompting, evaluation, RAG, speech recognition, etc.) About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $136,000 to $164,500 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package. #LI-Hybrid

Requirements

Must-haves

Build and ship production software. Design, implement, test, and deploy features and services that serve real users at scale.
Own problems end-to-end. Take work from idea through design, implementation, rollout, and monitoring.
Design for real-world constraints. Make deliberate tradeoffs across latency, cost, reliability, and quality.
Build clean, scalable systems. Develop backend services, APIs, and async workflows that are maintainable and built to evolve.
Improve quality continuously. Use metrics, logging, user feedback, and experimentation to find problems and make systems better.
Move quickly with modern tools. Use AI-assisted development and modern tooling to prototype and ship fast while keeping a high engineering bar.
We're looking for someone who
Has a bachelor's or master's degree in Computer Science or a related field
Is a recent grad or has up to 1 year of experience building software, with a growing sense of how backend decisions impact user experience
Writes clean, maintainable code in a modern language (Python, Go, Java, C++, or similar) and has a solid grasp of computer science fundamentals such as data structures, algorithms, and systems basics.
Has some exposure to backend or systems concepts such as APIs, databases, distributed systems, or cloud infrastructure
Thinks about outcomes, not just implementation, and cares whether what they build is reliable and useful
Takes ownership of problems end-to-end and collaborates well across product, design, and AI disciplines
Is comfortable operating in ambiguous, fast-moving environments and can iterate quickly on both product and technical direction

Nice-to-haves

Any experience (including coursework, projects, or internships) building backend, infrastructure, or product-facing systems
Experience with cloud platforms (AWS, GCP), containers, or CI/CD
Any experience with LLM-powered features or ML systems (prompting, evaluation, RAG, speech recognition, etc.)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
Effort: quick