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Perplexity Jobs in California (NOW HIRING)

Perplexity

Principal Counsel, Corporate

San Francisco, CA · On-site

$250K - $350K/yr

Summary of Role Perplexity AI is looking for a Principal Counsel, Corporate to serve as the company's primary lawyer for corporate governance, equity, and financing matters. In this role, you'll own ...

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Perplexity

Strategic Finance Lead - Core

San Francisco, CA · On-site

$170K - $230K/yr

Perplexity is looking for a dynamic and analytical individual to join our Strategic Finance team to help own our core financial models and analysis, develop planning processes, and be the go-to ...

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Perplexity information

What is a perplexity job?

Perplexity jobs typically refer to roles at Perplexity AI, a company specializing in artificial intelligence-powered search engines and conversational AI tools. Employees may work in a variety of positions such as software engineering, research, product management, and data science. Perplexity AI is known for its focus on creating advanced, user-friendly AI systems that help people access and understand information more easily. Working at Perplexity often involves collaborating on innovative projects, leveraging the latest AI technologies, and contributing to the development of cutting-edge products in the AI space.

What are the key skills and qualifications needed to thrive as a Perplexity AI Engineer?

To thrive as a Perplexity AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and hands-on project experience. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems like Git is essential. Strong problem-solving abilities, collaboration, and effective communication help you excel in multidisciplinary teams and adapt to evolving technologies. These skills are crucial for developing advanced AI solutions and ensuring they perform reliably and ethically in real-world applications.

What are the common challenges faced by a data scientist when working on machine learning projects within a cross-functional team?

Data Scientists often encounter challenges such as aligning project goals across departments, ensuring data quality, and effectively communicating complex technical concepts to non-technical stakeholders. Collaborating with product managers, engineers, and business analysts requires strong interpersonal skills and adaptability. Additionally, balancing experimentation with project deadlines and integrating models into production systems are key hurdles. Navigating these challenges successfully can lead to impactful solutions and professional growth.

What are popular job titles related to Perplexity jobs in California?

For Perplexity jobs in California, the most frequently searched job titles are:

What job categories do people searching Perplexity jobs in California look for?

The top searched job categories for Perplexity jobs in California are:

What cities in California are hiring for Perplexity jobs?

Cities in California with the most Perplexity job openings:

Perplexity jobs near you
Infographic showing various Perplexity job openings in California as of August 2026, with employment types broken down into 1% Internship, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Engineering Manager (TLM, Agents)

Perplexity

San Francisco, CA • On-site

$180 - $240/hr

Other

Re-posted 13 days ago

Job description

Overview

Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem. 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. You will lead, grow, and support a team in solving many open problems in AI, including:

  • Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;
  • Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
  • Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding;
  • 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 models, infrastructure, and browser 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 full AI product stack.
  • Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
  • Domain expertise in at least one of the following areas:
    • 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 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 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.
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