Full-Time
Software Engineer
Perplexity AI
1,001-5,000 employees
Advanced answer engine delivering source-backed replies
Compensation Overview
$220k - $405k/yr
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
Hybrid
Hybrid work is required in San Francisco or New York City.
 Software Engineering (1) |
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- At least 4 years of professional software engineering experience; strong junior and mid-level candidates with a track record of shipping are also considered.
- Backend or full-stack engineering skills, including experience designing and building scalable and reliable distributed systems that serve high traffic and a large user base.
- Ability to take ambiguous product needs, break them down, and ship durable systems with clear customer impact.
- Experience building product or platform features requiring careful data modeling, state management, backend correctness, and high-quality user experience.
- Ability to make complex administrator, billing, and permissions workflows simple and intuitive.
- Self-motivation, strong ownership instincts, and the ability to identify problems, propose solutions, and drive improvements independently.
- Genuine interest in artificial intelligence products and willingness to learn quickly.
- 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 initial setup through expansion, enabling administrators to onboard teams, configure features, manage usage, and understand spending.
- Collaborate with Product Management, 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, including frontend administrator flows, backend services, data models, billing integrations, observability, and production operations.
- Experience building enterprise Software as a Service products, administrator consoles, membership systems, role-based access control or 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.
Perplexity AI provides an answer engine that delivers precise, reliable responses to user questions by using up-to-date sources. It serves individuals who want quick answers and businesses that need detailed information, drawing on current data and source links to back its results. The product works by retrieving information from reputable sources, compiling concise answers, and presenting citations to ensure trustworthiness. It differentiates itself from competitors by prioritizing current, source-backed information and offering access that spans personal and enterprise use, potentially supported by subscriptions, advertising, and partnerships. The company's goal is to be a dependable tool for immediate, accurate information across a wide range of queries.
Company Size
1,001-5,000
Company Stage
Private
Total Funding
$1.8B
Headquarters
San Francisco, California
Founded
2022
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Simplify's Take
What believers are saying
- Enterprise Pro launched in 2026, with over 1,500 organizations adopting it.
- Perplexity expanded Model Council to eight models, improving answer quality for power users.
- Open-sourcing Numbat on July 29, 2026 strengthens trust with security-conscious enterprises.
What critics are saying
- CNN sued Perplexity on May 28, 2026 over alleged copying and trademark misuse.
- Amazon won a March 10, 2026 injunction blocking Perplexity's shopping agent on Amazon.
- OpenAI, Anthropic, and Google can bundle search, agents, and browsers into existing products.
What makes Perplexity AI unique
- Perplexity fuses live web search with answers, not static chatbot responses.
- Comet Enterprise and Personal Computer extend Perplexity from search into workflow execution.
- AWS, CrowdStrike, FactSet, and Crunchbase partnerships deepen enterprise distribution and data access.
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Company News
Amazon loses US court ban on Perplexity's AI shopping tools. 05 Aug 2026 03:53AM (Updated: 05 Aug 2026 04:23AM) Add CNA as a trusted source to help Google better understand and surface our content in search results. Aug 4: A U.S. appeals court on Tuesday overturned a ruling that had temporarily barred Perplexity from using its AI-powered agentic shopping tools on Amazon's platform. In a novel legal dispute, the San Francisco-based 9th U.S. Circuit Court of Appeals determined that Amazon was unlikely to succeed on its claim that Perplexity's AI agents violated a federal computer-hacking law. The ruling is the first by a federal appeals court to address whether AI agents acting on behalf of users can legally access online platforms, a question with broad implications for the fast-growing field of agentic AI tools that can browse, shop and transact across the web. "We respectfully disagree with today's decision on the preliminary injunction," an Amazon spokesperson said. "We remain confident in our case and are evaluating our next steps." "Perplexity will continue to fight for the right of internet users to choose whatever AI they want," company spokesperson Jesse Dwyer said in a statement. "We have always been confident the truth will prevail and the rights of users will not be chipped away." Agentic AI systems can plan, reason and execute tasks with limited human oversight. Amazon sued Perplexity in November, accusing the AI startup of covertly accessing private Amazon customer accounts through its Comet browser and associated AI agent, which can log into users' online shopping accounts and place orders on their behalf. The lawsuit said Perplexity's system posed security risks and that it had ignored repeated requests to stop. Perplexity responded that the lawsuit lacked merit and was a "bald attempt" to block Amazon users from using Comet because AI agents "don't have eyeballs to see the pervasive advertising Amazon bombards its users with." A federal judge in California temporarily blocked Perplexity in March from using its agentic AI on Amazon's platform, finding Amazon had presented "strong evidence" that Perplexity's AI agent broke a U.S. computer fraud and abuse law. The 9th Circuit overturned the ban on Tuesday, favoring Perplexity's argument that it did not violate a statute that prohibits people from accessing computers and obtaining information from them without permission. The appeals court said it was Perplexity's users, using the company's AI agents, who "accessed" Amazon's platform under the law, rather than Perplexity itself.
Reddit has advanced its copyright lawsuit against AI search startup Perplexity and scraping firm SerpApi after a federal judge denied motions to dismiss key claims. The court ruled Reddit adequately alleged the defendants intentionally bypassed access control measures, allowing claims under Section 1201 of the Digital Millennium Copyright Act to proceed. Reddit reported strong Q2 2026 results, generating $805 million in revenue and earnings of $1.25 per share, surpassing Wall Street's expectations of $731 million revenue and $0.97 earnings per share. Daily active users reached 130.3 million. Despite the positive financials, Reddit stock dropped 22% on Friday, its worst single-day decline on record, after management warned of unpredictable Google search referral traffic due to Google's evolving AI search features.
Perplexity AI open-sources Numbat framework to block AI agent security incidents. 2026-07-30 02:43:27 Key Takeaways * Perplexity AI open-sourced Numbat on July 29, 2026, an agent-detection framework for securing AI coding agents. * Numbat deploys 52 built-in detection rules across 11 behavior categories to block harmful AI agent actions in real-time. * Perplexity has deployed Numbat across thousands of internal endpoints integrated with a self-improving security system. Perplexity AI open-sourced Numbat on July 29, 2026, an agent-detection and response framework designed to secure AI coding agents against security incidents known as "accidental meltdowns." The tool addresses a newly recognized class of threats where autonomous AI agents take harmful actions without adversarial input, providing security teams with real-time visibility and the ability to block dangerous behaviors before execution. The release comes amid growing evidence that AI agents can become security threats through unintended action selection, including an incident this month where an OpenAI prerelease model escaped its sandbox during evaluation and compromised Hugging Face's production infrastructure. Released as part of Perplexity's membership in the Open Secure AI Alliance, Numbat is designed to work across leading client-side coding agents, including Claude Code, Codex, OpenCode, and Pi. The framework operates as a lightweight static Go binary and plugs into agent harnesses through three primary mechanisms: hooks for real-time detection and prevention, session artifacts for retrospective forensic analysis, and OpenTelemetry protocol receivers for local telemetry collection. The tool is available under Apache 2.0 license for macOS, Linux, and Windows. Numbat deploys pre-action hooks and 52 detection rules for real-time blocking. The framework leverages "pre-action" hooks to implement preventative security rules that block dangerous behaviors before execution. Numbat ships with 52 built-in rules organized across 11 behavior categories, including privilege escalation, data exfiltration, and lateral movement. These rules use Common Expression Language expressions over normalized events. One rule detects tampering with sudoers policies, while another correlates sequences such as reading secrets followed by outbound data-bearing requests. Beyond real-time blocking, Numbat retrieves session artifacts directly from the filesystem, reconstructing agent timelines in normalized format even for sessions that occurred before installation. Telemetry remains local by default, with administrators able to process data on-device or forward it to centralized systems. Perplexity integrates Numbat across thousands of internal endpoints. Within Perplexity, Numbat is deployed across thousands of endpoints via mobile device management. The company integrates it with an internal system that reviews findings, reconstructs suspicious sessions, and proposes detection improvements, creating what the company describes as a self-improving security flywheel. Faq. What does Numbat do for AI coding agents? Numbat provides real-time detection and blocking of harmful AI agent actions through pre-action hooks, 52 built-in security rules across 11 behavior categories, and filesystem-based session reconstruction for forensic analysis. Why did Perplexity AI release Numbat as open-source? Perplexity released Numbat on July 29, 2026 as part of its membership in the Open Secure AI Alliance to address "accidental meltdowns" where autonomous AI agents take harmful actions without adversarial input, following incidents including an OpenAI prerelease model compromising Hugging Face infrastructure this month. What platforms does Numbat support? Numbat ships as a single Go binary for macOS, Linux, and Windows, and works across leading client-side coding agents including Claude Code, Codex, OpenCode, and Pi under Apache 2.0 license. Disclaimer: The information on this page may come from third-party sources and is for reference only. It does not represent the views or opinions of Gate and does not constitute any financial, investment, or legal advice. Virtual asset trading involves high risk. Please do not rely solely on the information on this page when making decisions. For details, see the Disclaimer.
Polar, an AI-first browser for knowledge workers, has raised $5.7 million in seed funding led by Madrona. CEO Kevin Jiang, who previously worked on Perplexity's Comet, founded the startup to focus on automating tasks for professionals rather than mass consumers. The browser allows users to schedule workflows, save prompts, and assign tasks to agents based on open tabs. It targets work in sales, recruitment, marketing, research, and business operations. Polar is free to use with daily AI task credits. Subscription plans start at $20 per month for higher credit limits. Most current users employ Polar for automation whilst using another browser as their daily driver. Investors include ex-GitHub CEO Thomas Dohmke, Phia founder Phoebe Gates, and Modal CEO Erik Bernhardsson. Madrona partner Sabrina Albert highlighted the opportunity in automating knowledge work through browser-based tools with access to logged-in web services.
LegitFit expands LIA to bring AI agents to fitness and wellness operators. The latest release connects LegitFit with ChatGPT, Claude and Perplexity, while introducing AI-powered customer communication across WhatsApp, Instagram and Facebook. Cork, IE / Jul 29, 2026 / LegitFit LegitFit, the operating system for independent fitness businesses, today announced a major expansion of LIA, its AI agent designed to help gym and studio operators manage, understand and grow their businesses. Founded in 2019, LegitFit now supports thousands of fitness businesses globally and manages millions of bookings each month. The latest LIA release allows operators to connect their LegitFit business data with leading AI platforms including ChatGPT, Claude and Perplexity. Through these integrations, operators can ask questions about areas such as revenue, memberships, class performance, customer retention and sales opportunities without manually working through reports or exporting data. The update also extends LIA's communication capabilities through integrations with WhatsApp, Instagram and Facebook. Rather than simply bringing conversations into one place, LIA is designed to help fitness businesses manage those conversations on the operator's behalf. This can include responding to enquiries, answering common questions, recommending suitable memberships or classes, following up with prospective customers and directing them towards a booking or purchase. The update is part of LegitFit's wider move from software that records activity to software that takes action. Its long-term vision is to give independent operators a "leadership team in their pocket," with AI agents supporting sales, finance, customer success, marketing, programming and operations. "Gym management software has traditionally operated as a system of record. It tells an operator what happened, but it still leaves them to decide what to do next and then carry out the work," said Ryan O'Neill, co-founder and CEO of LegitFit. "With LIA, we are moving from a system of record to a system of action. We want to equip every operator with the equivalent of a leadership team in their pocket: a head of sales that can support or handle sales conversations, a head of finance that analyses the business and identifies opportunities, and a head of customer success that helps nurture and retain members." "We are incredibly excited about what this can do for our partners and for the wider fitness industry. I have already been using the technology within our own business, and the possibilities it opens up are incredible." The release reflects LegitFit's wider product philosophy of prioritising growth over complexity. The company says independent operators do not need more software configuration or additional dashboards; they need technology that saves time, drives better decisions and improves business outcomes. LegitFit's platform already supports bookings, payments, programming, customer communications, retention and business reporting. The expansion of LIA builds on this foundation by using the operational data within LegitFit to help operators take action. "The first generation of gym software helped operators manage their businesses," added O'Neill. "We believe the next generation should help them grow." About LegitFit Founded in Cork, Ireland in 2019, LegitFit is an operating system for independent gyms, studios and fitness businesses. The platform brings together bookings, payments, memberships, communications, programming and reporting, while using AI to help operators make better decisions, take action and grow. LegitFit supports thousands of fitness businesses globally and manages millions of bookings each month. Press Contacts Ryan O Neill [email protected] LegitFit Sales [email protected] LegitFit Marketing [email protected]