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Perplexity Jobs (NOW HIRING)

Perplexity

Product Manager (Builder)

San Francisco, CA · On-site

$230K - $330K/yr

Perplexity is looking for product managers to join a highly leveraged, small team for building new products that innovate to accelerate human productivity. In 2026, we launched Computer, the defining ...

Perplexity

Senior IT Systems Administrator

San Francisco, CA · On-site

$101K - $137K/yr

Perplexity is a company focused on transforming knowledge into action through advanced AI technology. They are seeking a Senior IT Systems Administrator to build systems and automations that enhance ...

Perplexity

Product Manager (Builder)

San Francisco, CA · On-site

Perplexity is looking for product managers to join a highly leveraged, small team for building new products that innovate to accelerate human productivity. The role involves working closely with ...

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Does Perplexity pay well?

Perplexity as a job role is not widely recognized, so salary information is limited. Generally, salaries depend on the specific industry, experience, and location, with roles involving data analysis or AI typically offering competitive pay. It is advisable to research the particular position and company for accurate compensation details.

What are Perplexity jobs?

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.

Which AI job is high paying?

High-paying AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry averages due to their specialized skills and demand in sectors like technology, finance, and healthcare.

What is the salary of Perplexity employees?

Perplexity employees' salaries vary depending on the role, experience, and location. Entry-level positions typically start around industry-standard rates, while more experienced roles can earn higher compensation. Specific salary details are often available through job postings or company reports.

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

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.

Can I earn money from Perplexity?

Perplexity is a language model and does not offer job opportunities or direct income. If you are referring to a role related to Perplexity, such as a developer or researcher, earning potential depends on the employment arrangement, skills, and experience. Typically, jobs in AI and machine learning require technical expertise and may involve salaries or project-based payments.

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.
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Perplexity jobs near you
Infographic showing various Perplexity job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Member of Technical Staff (Software Engineer, Enterprise Experience)

Member of Technical Staff (Software Engineer, Enterprise Experience)

Perplexity

New York, NY • On-site

$220K - $405K/yr

Full-time

Re-posted 3 days ago

Job description

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Experience team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale.
Enterprise Experience is the team that brings Perplexity into the workplace. You'll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
Why Perplexity is different
  • Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
  • Ownership. You identify the problem, design the solution and ship it.
  • Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
  • Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
  • Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
  • Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls.
  • Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend.
  • Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences.
  • Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations.
Qualifications
  • 4+ years of professional software engineering experience; we're open to strong junior and mid-level candidates with a track record of shipping.
  • Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base.
  • Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact.
  • Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience.
  • Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive.
  • Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs.
  • Genuine interest in AI products and willingness to learn quickly.
Nice to have
  • Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features.
  • Experience with subscriptions, billing systems, or usage-based pricing.
  • Familiarity with security, compliance, or governance concerns in enterprise products.
  • Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems.
  • Time spent at a fast-growing startup or on a high-ownership engineering team.

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