Level

Perplexity

Engineering Manager (Agent Engine)

Perplexity is hiring an Engineering Manager (Agent Engine) in San Francisco, United States. It pays $300k-$485k a year and Level rates it ; you can apply on Perplexity.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions AI agents and AI evaluation among its tools and skills.
  • Level classes it as a senior role.
  • Perplexity has 131 other open roles on Level.
  • Posted in the last few days.

AI in this role

ai-agentsai-evaluation

Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users.

As the engineering manager supporting the Agent Engine team, you'll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users. You'll lead, grow, and support a team in solving many open problems in AI, including:

  • Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users;

  • Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;

  • Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions;

  • Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;

  • Designing optimal data representations and modes of interaction between agents and their environments;

  • and much, much more.

Responsibilities

  • Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.

  • Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.

  • Exercise 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.

  • Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry.

Qualifications

  • Strong foundational familiarity with the AI systems stack.

  • Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).

  • Domain knowledge in at least one of the following areas:

    • Harness engineering

    • Agent Skills and plugin architectures

    • Model training and reinforcement learning

    • Browser technologies (CDP, Playwright, extension development, etc.)

  • Strong technical intuition and taste for user experience excellence.

  • 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 engineering teams, including recruiting, growing, and retaining high-caliber talent.

  • 8+ years of engineering experience, with at least 3 of those years as an engineering manager.

How we rate this

Engineering Manager (Agent Engine) at Perplexity rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI Evaluation

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you decide that one model's output is better than another's for a given task?
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents and AI Evaluation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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