About Jetson:

Jetson is on a mission to accelerate the transition of 100 million homes across North America away from fossil fuels toward sustainable energy use. We believe in a future that is 100% electric and 100% better.

Homes are one of the largest sources of carbon emissions, yet adoption of solutions like heat pumps remains slow due to cost and complexity. Jetson is solving this by building the first fully vertically integrated home electrification company — making clean energy simple, transparent, and affordable.

We rely heavily on technology, automation, and data to scale this impact. At Jetson, we value people who are excellent at their craft, curious about new tools (including AI), and motivated to continuously improve how work gets done.

The Opportunity:

Our GTM data is getting complicated. We run ads across multiple platforms and markets, test direct mail, operate a call center, manage a large CRM, and push content through a growing web presence. The core pipelines are in place and we have a strong engineering team supporting the frameworks. We need someone to own what happens next: shipping code into the core platform to fill gaps, refine the models, build the dashboards, and make sure the GTM team is always working with accurate, real-time data.

The Role

You'll own the measurement, reporting, and analysis layer for everything we do in sales and marketing. That means contributing code to the core data platform alongside engineering, bringing in new data sources when we need them, designing the experiments that tell us what's actually working, and building the dashboards the team runs on.

Questions you'll help us answer:

• What's the real uplift from our direct mail campaigns in each market?
• Which lead sources produce customers who actually install, not just book calls?
• How do we attribute a customer who saw a Meta ad, got a postcard, and then searched for us on Google two weeks later?
• What's our CAC by channel, by market, by product, and how is it trending?
• Where are the leaks in the funnel, and which ones are worth fixing first?

What You'll Do

Own the measurement framework. Decide what we measure and why, across the full funnel from ad impression to installed customer. Ship the models that implement it. Engineering reviews your code and keeps the architecture coherent, but the what, the why, and the implementation are yours.

Design and run experiments. Set up incrementality tests for channels like direct mail where last-click attribution doesn't tell the real story. Run A/B tests on landing pages, ad creative, and sales motions. Tell us what the results mean, including when a result isn't significant or when an experiment was poorly designed in the first place.

Ship dashboards people actually use. Build reporting for marketing, sales, and leadership that answers real questions. Not vanity dashboards. Not screenshots in a quarterly deck. Living tools the team checks daily and makes decisions from. You'll have opinions about what belongs on them and what doesn't.

Refine our attribution approach. Evolve how we attribute revenue across channels, including the blend of MTA, MMM, and incrementality testing that's right for a multi-market home services business. Push back when simple attribution is hiding something important.

Bring in new data when you need it. When a dataset doesn't exist in our warehouse yet, you don't wait in a queue. Scrape it, pull it from an API, buy it, or build the ETL yourself. Land it in the data lake, write the dbt models to join it cleanly, and ship the PR. You own it end-to-end.

Enrich our view of leads and customers. We're investing in understanding who our leads are before sales talks to them. You'll build and maintain the enrichment datasets (property characteristics, energy data, demographics, behavioral signals, third-party market data), inform our lead scoring approach, and surface insights that change how marketing targets and how sales prioritizes.

Be the analytical partner to the GTM team. Marketing, sales, and leadership will bring you real questions constantly, from whether a campaign worked to why one market is lagging to where we should be investing more. Answer them with data, clearly, and with enough context that the team trusts the answer.

Deploy agents to scale yourself. One analyst can't keep up with the question volume from a full GTM org, and you shouldn't try to. You'll build and deploy agents that run analyses, answer routine questions, surface anomalies, and support the team directly. The goal is a measurement function that scales well past what one person could do on their own.

What We're Looking For

On the analysis side, you can:

• Design a clean experiment, interpret the results correctly, and explain them to a non-technical audience
• Think critically about attribution, including the limits of last-click, the tradeoffs of MTA vs. MMM, and when incrementality testing is the right tool
• Reason about funnel metrics for a sales-assisted business: lead to MQL, MQL to call, call to closed-won, and the cost and time between each step
• Tell the difference between a vanity metric and a decision-making metric, and explain why
• Find the story in a messy dataset and figure out what's worth digging into

On the technical side, you can:

• Write SQL fluently. You think in SQL, not around it. You can write a CTE-heavy query to untangle a funnel question without needing a second pass
• Build dashboards in at least one modern BI tool (Looker, Hex, Mode, Metabase, Preset, Tableau, Omni) and make thoughtful design decisions, not just drop fields onto a canvas
• Ship production code to a modern data platform. You work in git, open PRs, take code review, and write dbt models that hold up in a shared codebase. You don't need engineering to land your changes for you
• Build your own pipelines end-to-end. When you need a new data source, you write the Python to scrape or pull it, handle the auth and pagination, land it in the warehouse (Snowflake, BigQuery, Databricks, Redshift, or similar), and model it in dbt so it joins cleanly to everything else
• Pull from and reason about data from ad platforms (Meta, Google Ads), CRMs (HubSpot, Salesforce), and web analytics
• Use Python or R for the analysis work that SQL can't do cleanly, including regressions, significance testing, and cohort modeling

You're AI-native. You've built real things with Claude Code, Cursor, or equivalent tools. Not "I tried ChatGPT a few times." You have opinions about when to let an agent run loose and when to stay in the loop, you've deployed agents that do real work for other people, and you use AI to move faster across the whole stack. If your best recent work would've taken you twice as long a year ago, that's the signal we're looking for.

Bonus points for:

• Experience at a home services, local services, or multi-market consumer business
• Familiarity with measuring offline channels (direct mail, events, field marketing)
• Experience designing or evaluating lead scoring models
• A portfolio of past work you can walk us through: a dashboard you're proud of, an experiment you designed, an analysis that changed a decision

Why This Role Matters

Marketing spend, sales performance, and field operations are tightly connected at Jetson. A lead becomes a call, becomes an install, becomes a customer who influences the next referral. This role sees all of it, and shapes how we invest millions of dollars across dozens of channels and markets. The analytical work here has a direct line to revenue and to the climate impact we're building toward.

Compensation and Benefits

• Competitive base salary, calibrated to experience
• Meaningful equity in a Series A company
• Comprehensive health, dental, and vision coverage
• Flexible PTO
• New office nestled in the foothills of the North Shore Mountains

Job Type: Full-time

Benefits:

Dental care
Extended health care
Vision care

Work Location: In person - Vancouver

Do you feel like you don't have everything that's listed above but can still do the job? If you have the core skills and experience that we’re looking for and are willing to use your talent to learn the rest, we encourage you to apply!