Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 73 days ago

Analytics Engineer

Linear34 open roles

Where
North America
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAnalytics EngineerLinear · North America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Linear's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Linear postings stay open a median of 40 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 73 days ago

Linear median: 40 days open

The posting

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Linear's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Linear's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Linear's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.