We're building the next generation of AI-native product experiences, where conversations turn directly into outcomes. As a Software Engineer on our Product teams, you'll work at the intersection of product, AI, and systems to shape how users interact with intelligence in real workflows.
You'll work across the full lifecycle of AI-driven features, from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces. This role requires balancing product thinking with systems design, ensuring that AI outputs are not only intelligent, but also reliable, performant, and aligned with real user needs.
You'll partner closely with product, design, and AI teams to rapidly prototype, ship, and iterate on experiences like summaries, action items, and intelligent workflows — turning raw model output into high-quality product features.
Your Impact
Build AI-native product experiences end-to-endDesign and implement features that transform model output into structured, actionable user value—such as summaries, action items, and intelligent workflows.
Own the product quality loopContinuously improve output quality by iterating on prompts, data flows, and backend logic, using real user feedback, evaluations, and experimentation.
Bridge product and AI systemsTranslate product requirements into systems that orchestrate LLMs, retrieval, and structured data—shaping how intelligence behaves in production, not just integrating it.
Make deliberate tradeoffs across latency, cost, reliability, and output quality to deliver fast, trustworthy experiences at scale.
Prototype and ship at high velocity using AI-assisted developmentLeverage state-of-the-art tools (e.g., coding copilots, LLM-driven workflows) to move quickly from idea to production while maintaining high engineering quality.
Build clean, scalable backend systemsDevelop services in Python (e.g., Django) that support dynamic, AI-driven product experiences and evolving system requirements.
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 (Python preferred) and is comfortable working across a modern web stack (APIs, data systems, async workflows)
Thinks in terms of product outcomes, not just technical implementation — cares about whether what they build is actually useful to users
Is excited about working with AI/LLM-powered systems, and is interested in shaping their behavior in real-world applications
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 or experimenting with LLM-powered features (prompting, evaluation, RAG, etc.)
Prior internship or project experience building product-facing systems
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
Skills called out
PythonLLMs
Ghost-job notes
We re-verify every URL daily. This listing currently scores 100/100 based on aggregate cohort reply rate, age (1d), and repost frequency.
Pulled directly from Otter.ai’s Greenhouse hiring system — not a third-party aggregator. The apply link goes straight to the employer, and this req drops out of our feed when it closes. Last synced 2 hours ago.
Match breakdown
See how well this role fits you
Sign in to see your match breakdown — a transparent, per-dimension score across skills, seniority, industry, freshness, location, and visa fit.