---
title: 'Member of Data Staff (Data Acceleration) at Perplexity'
canonical: 'https://feeny.ai/job/member-of-data-staff-data-acceleration-perplexity-san-francisco-jx9kqpcnm6g4'
type: 'job'
last_seen: '2026-11-08'
---

# Member of Data Staff (Data Acceleration) at Perplexity

- **Company:** [Perplexity](https://feeny.ai/companies/perplexity)
- **Location:** San Francisco, CA
- **Compensation:** $175k–$330k
- **Employment:** full-time
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/Perplexity/d89a3cad-50d5-47fd-8f87-be55285ee2b1

## Job description

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.

## What You'll Do

- Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops.
- Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately.
- Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt.
- Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting.
- Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations.
- Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces.
- Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time.

## What We're Looking For

- 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated.
- Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you.
- Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use.
- Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail.
- Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems.
- Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate.
- Autonomy - this is a new function. You'll help define the roadmap as much as execute it.

Bonus

- Experience building production AI agents or agent evaluation systems.
- Experience with Snowflake, semantic layers, or metadata systems.
- Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used.
- Strong experimentation background, including metric design and statistical interpretation.
- Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed.
- Early-stage startup experience.

## Why This Role

- Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark.
- Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data.
- Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible.
- Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data.
- Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.

## About Perplexity

## Company Overview
- **One-liner**: Perplexity builds an AI-powered answer engine that delivers accurate, real-time answers to any question, serving curious minds and professionals who demand precision and speed.
- **Entity Type**: Private (total funding $1.7B across 16 rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Aravind Srinivas, Denis Yarats, Johnny Ho, Andy Konwinski

## Core Business
- **Primary industry**: AI-powered search and knowledge retrieval, Software Development
- **Target customers**: B2C (general users), B2B (enterprise API customers), and power users seeking reliable information
- **Mission**: “AI for people who expect more – more accuracy, more agency, more signal, less noise.”

## Products & Services
- **Perplexity AI (Free Tier)**: Real-time conversational search engine that synthesizes web results with citations, accessible via web and mobile app. *Type*: SaaS
- **Perplexity Pro**: Subscription offering enhanced features such as advanced AI models, multimodal search, and increased usage limits. *Type*: SaaS (subscription)
- **Perplexity API Platform**: Enables developers to integrate Perplexity’s search and reasoning capabilities into their own applications. *Type*: API
- **Perplexity Browser Extension**: Brings AI-powered search directly into the browser for quick answers without leaving the page. *Type*: Browser extension

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (prior reports indicate ~$9B valuation as of 2024, but not confirmed in this data set)
- **Key Metric**: Total funding $1.7B (16 rounds); annual revenue ~$50M (LinkedIn estimate)
- **Notable Investors/Partners**: Not explicitly listed in provided search results; widely known investors include IVP, NEA, Jeff Bezos, and others (not sourced here)
- **Growth Signals**: Headcount grew 11.3% YoY to 1,152 employees; operates in 54 countries; LinkedIn followers grew 131.8% yearly to >1.6M; active hiring across 48+ open roles including AI Research, Engineering, and Go-to-Market teams

## Competitive Advantages
- **Real-time, cited answers**: Unlike traditional chatbots, Perplexity grounds answers in live web results with transparent sources, building trust and accuracy.
- **Multimodal and agentic capabilities**: Continuously pushes frontier research (e.g., query-aware context compression, agents for knowledge work) that differentiates from generic LLM interfaces.
- **Vertical integration from research to product**: In-house AI research team tackles open problems unique to Perplexity’s scale, enabling fast iteration on novel methods.
- **Strong brand and user base**: Rapid consumer adoption with millions of monthly active users and high engagement.

## Strategic Focus
- **Pushing the frontier of search**: Evolving from retrieval services to code generation, agents, and full autonomy in knowledge work.
- **Expanding enterprise and API revenue**: Growing B2B footprint with API platform and enterprise solutions.
- **Global hiring and office expansion**: Offices in San Francisco, Palo Alto, New York, Austin, Washington D.C., London, Berlin, and Belgrade, with “4 days in office” hybrid model.
- **Investing in AI research**: Dedicated research division (Perplexity Research) exploring reasoning, agents, and systems to redefine how people navigate the internet.

## Why Work Here
- **Culture & Environment**: “Thoughtful support” culture with emphasis on craftsmanship, ownership, entrepreneurship, scholarship, and partnership. Hybrid schedule (4 days in-office) based on location.
- **Perks**: Daily catered meals (breakfast, lunch, dinner in office), office snacks, ride home program, commuter benefits, home office reimbursement, fitness classes, gym memberships.
- **Compensation & Benefits**: Competitive salary and equity packages; retirement plans with company match; flexible PTO; holiday shutdown between Christmas and New Year; 12 weeks paid bonding leave; comprehensive health, dental, and vision insurance.
- **Relocation & Visa Support**: Relocation assistance and visa/green card sponsorship for eligible roles. Partners with immigration firm to support the process.
- **Engineering Excellence**: “Technical assessment for relevant roles”; values hands-on contribution, broad skill sets, and merit-based evaluation. Frequent Tech Talks and exposure to greenfield AI research problems.

## Sources
1. [perplexity.ai/hub/careers](https://www.perplexity.ai/hub/careers)
2. [jobs.ashbyhq.com/perplexity](https://jobs.ashbyhq.com/perplexity)
3. [perplexity.ai](https://www.perplexity.ai/)
4. [linkedin.com/company/perplexity-ai](https://www.linkedin.com/company/perplexity-ai)
5. [research.perplexity.ai](https://research.perplexity.ai/)

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- [Counsel, Product](https://feeny.ai/job/counsel-product-perplexity-san-francisco-q83swsxegxar) — San Francisco, CA
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