Engineering Manager - AI Products

USD 250,000-325,000 per year
MIDDLE
βœ… Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

A/B Testing @ 3 Statistics @ 3 Algorithms @ 2 Machine Learning @ 6 Hiring @ 6 Leadership @ 3 Engineering Management @ 5

Details

Perplexity is seeking a Machine Learning / Software Engineering Manager to lead the AI Products team to build AI products spanning the Comet Browser Agent, the Deep Research Search Agent, integration of core search with frontier capabilities (like MCP), and vertical end-to-end experiences such as Travel, Shopping, and Finance.

Responsibilities

  • Provide engineering leadership across multiple layers of rapidly growing products in the agents space.
  • Leverage experience in post-training deep foundational models with prompting to provide the best Research agent experience for both the Perplexity core search and the Browser.
  • Drive product reliability, code quality, testing, and maintenance for the broader team.
  • Oversee hiring and onboarding; 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 top-priority strategic objectives for the company and industry.

Requirements

  • Strong foundational familiarity with Deep Learning, Agents Products, Evals, and the open-source training stack.
  • Strong product intuition and taste for user experience excellence.
  • Ability to make hard technical and research tradeoffs and 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 (supervised fine-tuning), Preference Optimization algorithms, and Reinforcement Learning.
  • Fair understanding of statistics, probability, evaluations, and A/B testing.

Compensation

  • Cash compensation range: $250,000 - $325,000 per year. Final offers are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
  • Equity: In addition to 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.