Senior Engineering Manager, Product
Otter.ai
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What engineering roles keep asking for: Python (22%), AWS (21%), Observability (14%), System design (13%), CI/CD (12%) — counted across their open postings here.
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Otter.ai has 22 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to Python, AWS, Observability, System design. Practise those questions before you sit with Otter.ai.
Questions you are likely to be asked
- Why do you want to join Otter.ai?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Practise the Senior Engineering Manager, Product at Otter.ai interview free →About the Role
Otter.ai is seeking a Senior Engineering Manager, Product to lead an engineering team building our consumer-facing experiences that help people get more value from their conversations. You will own engineering execution and technical quality for your product area, helping users discover value quickly and make Otter part of their everyday workflows.
This is a hands-on leadership role for someone who combines strong product judgment with experience building and operating scalable applications. You will guide frontend and backend architecture, review critical technical designs, and work directly with engineers on challenging product and system problems.
Partnering closely with Product, Design, and other engineering teams, you will turn customer needs and advances in AI into intuitive, reliable product capabilities. You will hire and develop engineers, strengthen engineering practices, and deliver improvements that increase user activation, engagement, and retention while maintaining high standards for performance and quality.
Your Impact
- Lead the development of consumer experiences that help users record conversations, interact through AI chat, retrieve relevant information, and share conversations.
- Partner with Product and Design to define problems, prototype solutions, and ship through focused, iterative releases. Translate PRDs into engineering requirements and API specifications.
- Guide architecture across frontend and backend, including data modeling, caching, asynchronous and event-driven workflows, and real-time experiences.
- Own features end to end, from CI/CD and automated testing through release, feature gating, and experimentation, staying hands-on through code reviews, debugging, and production troubleshooting.
- Partner with other engineering teams to integrate models into user-facing experiences. Establish experiments and user feedback loops to continuously improve product quality.
- Develop a deep understanding of users and product data to improve activation, engagement, and retention at both the overall product and individual feature levels. Partner with Product, Design, and Data teams to form hypotheses, design experiments, and use A/B testing to measure impact and guide iteration.
- Recruit, coach, and grow engineers and technical leads. Set clear expectations, provide actionable feedback, and build a culture of ownership, collaboration, and product thinking.
What We’re Looking For
- 8+ years of software engineering experience, including 4+ years of engineering management experience.
- A track record of leading teams that build and operate consumer-facing products, with measurable improvements in customer experience, engagement, or business outcomes.
- Strong product judgment and experience partnering with Product and Design to turn ambiguous customer problems into clear technical direction and execution plans.
- A substantial hands-on engineering background with deep backend or full-stack expertise and strong Python proficiency, the ability to review code and challenge architectural assumptions, and experience guiding technical decisions across the full stack.
- Strong understanding of relational databases, including schema design, transactions, indexing, query optimization, and safe migrations.
- Experience designing asynchronous and event-driven applications, including background jobs, message processing, retries, idempotency, ordering, and failure recovery.
- Experience using Redis or similar systems, with sound judgment around caching, expiration, invalidation, memory usage, and failure behavior.
- Working knowledge of modern frontend engineering, including JavaScript/TypeScript, HTML/CSS, component-based frameworks, responsive single-page applications, and browser performance.
- Strong understanding of HTTP, REST APIs, and real-time client-server communication, including WebSockets or streaming responses.
- Practical experience delivering AI- or LLM-powered features, with an understanding of model integration, retrieval, evaluation, and the tradeoffs among output quality, latency, reliability, privacy, and cost.
- Experience deploying and operating production services on AWS or a comparable cloud platform, including monitoring, incident response, capacity planning, and safe releases.
- A track record of improving engineering quality through code reviews, unit and integration tests, UI testing, and production diagnostics.
- Demonstrated ability to hire and develop engineers, grow technical leaders, manage performance, and lead initiatives across team boundaries.
- A bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
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 dedicated to inclusivity.
*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: $230,000 to $290,000 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.
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Listed on greenhouse · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Otter.ai, not by us.