Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gill, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, Nvidia, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
We are seeking a Finance Manager to join our small team. This position is critical to providing essential finance capacity and operational insight as we scale our business. You will be responsible for financial modeling, cost tracking, vendor management, and ad hoc projects across the organization. The Finance team at Perplexity is looking for a self-motivated and detail-oriented individual who can prioritize effectively in a fast-paced environment.
You will be working closely with the VP of Finance to build Perplexity’s Finance function. You will be expected to be able to think high-level about existing processes and also roll up your sleeves to institute new ways of doing things. This position is critical for scaling our finance function to support our rapidly growing company.
ResponsibilitiesMaintain multi-year financial projections in monthly, 3-statement format.Gather and analyze operational data to inform financial planning and decision-making.Support project finance, including budgeting, spend tracking, and reporting.Monitor infrastructure spend, flag anomalies, and optimize cost allocations.Provide FP&A across teams and support vendor negotiations to achieve performance targets while minimizing spend.Maintain detailed spend run rate files and proactively identify trends and issues.Track and manage key vendor contracts, pricing details, and token pricing trackers.Prepare investor relations reports in line with information rights and stakeholder requirements.Lead and participate in ad hoc finance projects as needed to support business growth and efficiency.Requirements5-10 years of experience in finance or a similar role, ideally within a technology company or high-growth environment.Bachelor’s degree in Finance, Economics, or a related field. CFA designation is a plus.Excellent 3-statement financial modeling skills.Proven track record independently managing a financial forecast.Eager to independently lead multiple projects and strong prioritization skills.Awareness of big picture priorities and strong attention to detail.Experience with cost allocation, vendor management, and contract tracking.Working knowledge and practical understanding of US GAAP principles.Excellent communication skills, with the ability to translate financial data into actionable insights.Experience collaborating with accounting on month-end close processes in a fast-paced environment.Familiarity with financial software tools is a plus.The cash compensation range for this role is $180,000 - $230,000.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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#J-18808-Ljbffr Read LessAt Perplexity, we've experienced tremendous growth and adoption since launching the world's first fully functional conversational answer engine in 2022. We have grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, serving leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom.
Supported by significant funding from top technology investors, including IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, among others, our team has expanded by nearly 300% in 2024, and we are just getting started.
Perplexity is seeking experienced Applied AI & ML Engineers to develop and enhance our query understanding systems. Your focus will be on understanding user intent deeply and accurately, which is essential for delivering relevant, high-quality, and context-aware responses.
ResponsibilitiesArchitect and develop core machine learning models for query understanding, including intent classification, query rewriting, agentic task decomposition, and function calling.Leverage and fine-tune LLMs to capture nuanced user intent and contextual signals from user queries and behaviors.Deliver end-to-end ML solutions and own the full stack to optimize query understanding.Collaborate with Product Managers and engineers to ensure fast, high-quality delivery to users.QualificationsStrong programming skills across the stack, especially in recommendation systems or LLM stacks.Experience training DNN and Transformer models.Self-motivated with a strong ownership mindset.Passion for shipping quality products.4+ years of industry experience in search, information retrieval, recommendation systems, applied machine learning, or NLP.The compensation range for this role is $200,000 - $280,000, with final amounts depending on experience and expertise. Equity may also be part of the total package. Benefits include comprehensive health, dental, and vision insurance, and a 401(k) plan.
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#J-18808-Ljbffr Read LessPerplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.
Responsibilities
Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journeyBuild effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendationWork across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end usersQualifications
Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in training DNN and Transformer architecture modelsExperience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideasUnderstands how to make tradeoffs in using different modelsSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experienceThe cash compensation range for this role is $200,000 - $280,000.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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#J-18808-Ljbffr Read LessPerplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users.
ResponsibilitiesResearch Leadership & StrategyDefine and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiativesLead strategic research planning and roadmap development to advance Sonar model capabilitiesDrive innovation in supervised and reinforcement learning techniques for query answeringCollaborate with leadership to align research priorities with product and business objectivesCoach and mentor a team of AI research scientists and engineers, fostering their technical and professional growthEstablish the long-term macro research direction across the team, including our direction across different modalitiesLead hiring and onboarding of new research talentCreate a collaborative environment that encourages knowledge sharing and innovationTechnical ExcellencePost-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniquesOwn and optimize the full stack data, training, and evaluation pipelines required for LLM post-trainingDeliver Sonar models that provide SOTA query answering performanceDrive research into agent trajectories and multi-modal capabilitiesLead the technical roadmap for eventual mid-training investmentsCross-Functional CollaborationWork closely with engineering teams to integrate Sonar models into our productPartner with product teams to understand user needs and translate them into research prioritiesCollaborate with data teams to leverage our unique query/answer dataset effectivelyCommunicate research progress and findings to stakeholders across the organizationQualificationsRequiredMinimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role**Proven track record of leading and mentoring technical and research teamsA Computer Science graduate degree at a premier academic intitutionDeep expertise with large-scale LLMs and Deep Learning systemsStrong programming skills with versatility across multiple languages and frameworksDemonstrated ability to set technical vision and drive executionExperience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)Self-starter with exceptional ownership mentality and ability to work in ambiguous environmentsPassion for solving challenging problems and pushing the boundaries of AI researchNice-to-havePhD in Machine Learning, Computer Science, or related areasExperience with agent-based AI systems and multi-modal model developmentBackground in mid-training or pre-training of large language modelsPublications in top-tier AI/ML conferencesExperience in fast-paced startup environmentsTrack record of translating research into production systemsOur cash compensation range for this role is $370,000 - $460,000.
Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Create a Job Alert
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Apply for this job*
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Website
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Will you now or in the future require visa sponsorship for employment? * Select...
Perplexity has an office-centric work model with 4 days per week in the office from San Francisco or Palo Alto. Are you willing to come in 4 days per week? * Select...
If you are not based in any of these locations, are you open to relocation to the San Francisco Bay Area? * Select...
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Why do you think you will be a fit for Perplexity? *
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