---
title: 'Analytics Engineer at Linear'
canonical: 'https://feeny.ai/job/analytics-engineer-linear-north-86q58mhb1gth'
type: 'job'
last_seen: '2026-09-11'
---

# Analytics Engineer at Linear

- **Company:** Linear
- **Location:** North, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-11
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/linear/f272fc4a-91a7-4dcf-9cb5-3600ebaf14e1

## Job description

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.

## What you’ll do

- Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
- Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
- Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
- Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
- Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
- Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
- Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness

## What we're looking for

- 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
- Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
- Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
- Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
- Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
- Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
- High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
- Strong communication skills and experience partnering directly with both technical and non-technical teams
- Comfortable using LLMs and coding agents as part of your day-to-day development workflow

Our tech This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.

- Data Warehouse: Snowflake, dbt Cloud
- Dashboards / Analysis: Metabase, Hex
- ETL / rETL: Hevo, Fivetran
- GTM tools: Hubspot, Pocus, Clay

## What we offer

We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:

- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute

Learn how we think and work

- A story about our mission: [Read Me](https://linear.app/readme)
- Our hiring process: [How we hire at Linear](https://linear.app/now/how-we-hire-at-linear)
- How we work: [Designing remote work at Linear](https://linear.app/now/designing-remote-work-at-linear)
- How Linear uses Linear: [How our Customer Experience team works in Linear](https://linear.app/now/cx-in-linear)
- A video series: [Conversations on Quality](https://linear.app/quality)
- Building our teams: [Why and how we do work trials at Linear](https://linear.app/blog/why-and-how-we-do-work-trials-at-linear)
- Our recent tender offer: [Sharing Linear’s growth with the people building it](https://linear.app/now/sharing-growth-with-the-people-building-linear)

Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

## About Linear

## Company Overview
- **One-liner**: Linear builds a purpose-built product development system for modern teams and AI agents to plan, build, and ship software with high speed and quality.
- **Entity Type**: Private (Series B)
- **Headquarters**: Fully remote, team distributed across North America and Europe (no single physical HQ)
- **Founded**: 2019
- **Founders**: Karri Saarinen (CEO) and Tuomas Artman (CTO)

## Core Business
- Primary industry: Software development tools / Product management / AI-assisted development
- Target customers: B2B – product teams of all sizes from ambitious startups to major enterprises (over 33,000 teams, including OpenAI, Coinbase, Ramp)
- Mission: “To inspire and accelerate builders” – operates on principles like ship early, build with users, keep the team small, and create fans.

## Products & Services
- **Linear Platform**: The core SaaS product – an issue tracker, project management, and product planning tool. Features include AI-powered agents (Linear Agent) for autonomous issue routing and coding, Linear Diffs for structured code review, roadmaps, PRDs, analytics, and team documents. Designed to reduce noise and restore momentum for teams shipping with high velocity.

## Market Standing
- **Valuation/Market Cap**: Not publicly available – “Linear is small and profitable, and we intend to keep it that way.”
- **Key Metric**: Profitable; powers over 33,000 product teams (as of mid-2026).
- **Notable Investors/Partners**: Backed by Accel (Miles Clements, partner) and Sequoia (Stephanie Zhan, partner). Angel investors include Dylan Field (Figma CEO), Patrick Collison (Stripe CEO), Stewart Butterfield (ex-Slack CEO), Guillermo Rauch (Vercel CEO), and many others from Y Combinator, design, and technology leadership.
- **Growth Signals**: Continued hiring across engineering, sales, customer success, design, and operations; expanding AI capabilities (Linear Agent, MCP support); remains profitably small by design.

## Competitive Advantages
- **Quality obsession**: Linear emphasizes craft, attention to detail, and building things that last – a “lost art” they aim to restore.
- **Fully remote, small-team autonomy**: No OKRs or A/B tests; decisions come from taste, customer insight, and direct judgment.
- **AI-native architecture**: Purpose-built for workflows shared by humans and agents, with early integration of code intelligence and agent-assisted development.
- **Selective hiring culture**: Paid work trials ensure mutual fit; focus on slope (growth) over credentials.
- **Strong community of fans**: “Build a community of people who use, love, and defend the product.”

## Strategic Focus
- Continue to evolve Linear into “a new species of product tool” for the AI era, integrating agents deeper into planning, coding, and review workflows.
- Maintain high quality and small team size while scaling customer base internationally.
- Grow go-to-market teams (account executives, solutions engineers) in North America and Europe.

## Why Work Here
- **Remote-first**: “Fully remote” with team distributed across North America and Europe – no central office, minimal process overhead.
- **Autonomy & ownership**: Small teams with clear ownership; individuals shape direction, talk to users, and own problems end-to-end.
- **Craft culture**: Engineers and designers who care deeply about quality and detail thrive here.
- **Hiring process**: Transparent, fast (4–6 weeks), paid work trials as final stage, honest feedback, and direct communication about compensation and equity.
- **Perks & vibe**: Profitable, stable, and focused on building rather than managing; “fewer meetings, less check-in points, and more autonomy than most companies offer.”

## Sources
1. [linear.app/careers](https://linear.app/careers) – Careers page with principles and open roles.
2. [linear.app](https://linear.app/) – Main product site with features, changelog, and customer count.
3. [linear.app/now/how-we-hire-at-linear](https://linear.app/now/how-we-hire-at-linear) – Detailed hiring philosophy and process.
4. [linear.app/about](https://linear.app/about) – About page with team, founding story, investors, and mission.

## Other roles at Linear

- [Product Support Specialist, Europe](https://feeny.ai/job/product-support-specialist-europe-linear-europe-qyh7bkwhznj7) — Europe
- [Customer Success Manager, Growth](https://feeny.ai/job/customer-success-manager-growth-linear-north-p63ndt187dpt) — North, United States
- [Technical Recruiter](https://feeny.ai/job/technical-recruiter-linear-north-mfnwatsmqdf7) — North, United States
- [Deal Desk](https://feeny.ai/job/deal-desk-linear-north-r2ay6b22qsn1) — North, United States
- [Revenue Operations](https://feeny.ai/job/revenue-operations-linear-north-pwtp7pehxm4p) — North, United States
- [Production Designer](https://feeny.ai/job/production-designer-linear-europe-75jwj1apy2js) — Europe
- [Production Designer](https://feeny.ai/job/production-designer-linear-north-ejankh17cjtb) — North, United States
- [Mobile Product Designer](https://feeny.ai/job/mobile-product-designer-linear-north-m9pr29s99svt) — North, United States
- [Recruiting & HR Operations Specialist](https://feeny.ai/job/recruiting-hr-operations-specialist-linear-north-c2aeqafe8pj3) — North, United States
- [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-linear-london-1yg1k0cgmck6) — London, United Kingdom