Engineering Manager - AI Products
Job Summary
Job Description
The ML Engineering Manager will lead the AI Products team at Perplexity. Responsibilities include providing engineering leadership, leveraging experience with deep learning and prompting, driving product reliability and code quality, overseeing hiring and onboarding, collaborating with research and search teams, and interfacing with co-founders. The role involves building AI products like the Comet Browser Agent and integrating core search capabilities. The team is rapidly growing, and the manager will be responsible for strategic objectives. The company has experienced substantial growth since its launch in 2022, with significant funding from respected technology investors.
Must have:
- Familiarity with Deep Learning, Agents Products, Evals, and open source training.
- Strong product intuition and user experience excellence.
- Ability to make technical and research tradeoffs and remove blockers.
- Strong organizational skills for managing technical projects.
- Experience managing medium size teams of engineers.
- Experience leveraging open source and in-house solutions.
- 9+ years of general engineering experience.
- 3+ years of ML / deep learning experience.
- 5+ years of engineering management experience.
Good to have:
- Familiarity with SFT, Preference Optimization, and Reinforcement Learning.
- Understanding of statistics, probability, evaluations, and A/B testing.
Perks:
- Comprehensive health, dental, and vision insurance.
- 401(k) plan.
7 skills required
Job Details
ML Engineering Manager (AI Products)
Location: San Francisco Bay Area
Perplexity is seeking a Machine Learning / Software Engineering Manager to lead the AI Products team to build our AI Products spanning from the Comet Browser Agent, to the Deep Research Search Agent to integrating our core search experience with frontier capabilities like MCP as well as integrating different vertical end-to-end experiences like Travel, Shopping, Finance.
Responsibilities
- Provide engineering leadership across multiple layers of rapidly growing products in the agents space.
- Leverage your experience in post-training deep foundational models with prompting to provide the best Research agent experience for both the Perplexity core search as well as the Browser.
- Drive product reliability, code quality, testing, and maintenance for the broader team.
- Oversee hiring, onboarding and ensure strong research and engineering practices for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
- Collaborate closely with the Core Research / Post-Training, Inference and Search teams.
- Interface with the Perplexity co-founders to deliver a top priority strategic objective for the company and industry.
Qualifications
- Strong foundational familiarity with Deep Learning, Agents Products, Evals, as well as the open source training stack.
- Have a strong product intuition and taste for user experience excellence.
- Ability to make hard technical and research tradeoffs as well as remove research and engineering blockers.
- Strong organizational skills for managing and delivering parallel technical projects.
- Experience managing medium size teams of engineers.
- Experience leveraging the right combination of open source and in-house solutions.
- 9+ years of general engineering experience.
- 3+ years of ML / deep learning experience.
- 5+ years of engineering management experience.
Nice to Have
- Familiarity with SFT, Preference Optimization algorithms, Reinforcement Learning
- Fair understanding of statistics, probability, evaluations, and A/B testing.
At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.
To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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