Perplexity AI
Engineering Manager (TLM, Agents)
San Francisco
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world.
- As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users.
Responsibilities
- Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
- 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.
Requirements
- Domain expertise in at least one of the following areas:
- Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better).
- 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.
- Strong foundational familiarity with the full AI product stack.
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
- Context engineering and tool interfaces for frontier AI models
- Post-training and reinforcement learning (particularly for multimodal models)
- Browser technologies (CDP, Playwright, extension development, etc.)
- Strong product intuition and taste for user experience excellence.
- Strong organizational skills for managing and delivering parallel technical projects
Skills
- Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
- Designing optimal data representations and modes of interaction between agents and their environments;
- and much, much more.
This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.