Engineering Manager, Perplexity AI
Agents
$250-325k
Office located in Palo Alto, CA
Conversational AI-powered search tool
Job no longer available
Conversational AI-powered search tool
21-100 employees
Job no longer available
$250-325k
Office located in Palo Alto, CA
21-100 employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- Strong foundational familiarity with the full AI product stack
- Strong product intuition and taste for user experience excellence
- Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better)
- Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical
- Experience managing medium-sized engineering teams, including recruiting, growing, and retaining high-caliber talent
- Experience leveraging the right combination of open source, third-party, and in-house solutions
- 9+ years of general engineering experience
- 2+ years of experience developing and/or deploying frontier models in impactful ways
- 4+ years of engineering management experience
What the job involves
- Perplexity is seeking an Engineering Manager to lead and grow our highly-driven Agents engineering team
- The Agents team consists of AI-savvy, full-stack engineers who leverage bleeding-edge models to build delightful agentic experiences within our most critical product surfaces
- In July 2025, Perplexity shipped Comet, the world’s first agentic browser—and we’re just getting started
- Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world
- You will lead, grow, and support a team in solving many open problems in AI, including:
- Designing and empowering agents to navigate the open internet
- Seamlessly transitioning agents between foreground and background to deliver maximum value for our users
- Designing optimal data representations and modes of interaction between agents and their environments
- Orchestration infrastructure that can bridge local and server-side context
- And much, much more
- Provide engineering leadership across multiple layers of a rapidly growing product in the agents space
- Provide domain expertise and sharp technical/product intuition to guide the team’s system architectures and product roadmaps
- Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team
- Oversee hiring, onboarding, and mentorship 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, Search, and Comet application teams
- Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry
Our take
As artificial intelligence continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.
Reaching impressive heights of 10 million monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. What sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.
The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Jul 2025
$100m
LATE VC
May 2025
$500m
LATE VC
Total funding: $1.5bn
Company benefits
- Equity
- Comprehensive health, dental, and vision insurance for you and your dependents
- 401(k)
- Generous home-office stipend
Company HQ
Financial District, San Francisco, CA
Leadership
Aravind Srinivas
(Co-Founder & CEO)Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.
Denis Yarats
(Co-Founder & CTO)PhD Student in AI at NYU. Former AI Research Scientist at Facebook AI Research, and Staff ML Engineer at Quora.
Johnny Ho
(Co-Founder & CSO)Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.
Andy Konwinski
(Co-Founder)Co-Founder and Advisor at Databricks. Co-Founder and General Partner at CS Graduate Ventures, and Instructor at the University of California, Berkeley.
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