Senior Analytics Engineer - Kit

Kit is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform.

More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote.

The Role

Our Sales team needs a dedicated data partner, and creator commerce is becoming a bigger part of how Kit and our creators scale. We're looking for a Senior Analytics Engineer to own Kit's sales and commerce data from end to end.

Your primary focus will be Sales: the dbt models that turn our CRM data into trusted pipeline, deal, and funnel metrics, and the Omni dashboards our sales leader and Senior Revenue Operations Manager use to run the business. You'll also model creator commerce data, and pick up reporting work with our Product team.

You'll build for two kinds of consumers: people and AI. Teammates increasingly answer their own questions by querying our semantic layer through Omni's AI and MCP connections to AI tools. Your models, metric definitions, and documentation need to be clear and correct enough for an AI agent to use them independently.

Your Support System

You'll report to Sam Umachi, Head of Data. Sales and RevOps are your primary partners, alongside the Product team. Within the data team, you'll work alongside a Staff Analytics Engineer, a Senior Data Engineer, and a Senior Business Analytics Partner.

What You'll Do

• First Week: Complete onboarding, meet key stakeholders, and set up your environment in dbt Cloud, GitHub, Amazon Redshift, Omni, HubSpot, Linear, Hightouch, and Slack. Open and merge your first pull request.
• First Month: Map HubSpot data flows into dbt models, audit current sales reporting, take over day-to-day ownership of sales models and Omni dashboards, and align with RevOps and Sales on priorities.
• First Six Months: Ship and maintain well-tested dbt models for core sales metrics, refresh core sales dashboards, resolve competing metric definitions, model creator-level commerce data, and write semantic layer descriptions and documentation for AI tools.
• First Year: Be the recognized owner of Kit's sales data, provide robust models for revenue analysis, leave domains well documented and tested, and help raise team modeling quality.

What Will Set You Up for Success

Skills

• Deep dbt experience: Build modular, tested, documented dbt projects with incremental models, snapshots, macros, CI, and scheduled jobs.
• Advanced SQL: Reason carefully about grain, joins, and window functions.
• Data modeling for sales and GTM: Experience modeling deals, pipeline stages, ownership changes, and funnel conversion.
• CRM data fluency: Knowledge of how sales data behaves in a CRM (HubSpot preferred).
• AI-assisted development: Daily use of AI code editors and agents (Cursor, Claude Code, Codex, etc.).
• Clear written communication: Explain metric definitions, tradeoffs, and data caveats in plain language.
• BI and semantic layer experience: Build dashboards and semantic models in Omni, Looker, or similar tools.
• Git-based workflows: Keep pull requests small and well-described with thoughtful code review.
• Nice to have: Redshift performance tuning, Python, reverse ETL, and product/ecommerce data experience.

Experiences

• 5–6 years in analytics engineering or data engineering shipping production data models.
• Several years building and maintaining production dbt projects.
• Working directly with sales teams and RevOps.
• Owning a data domain over time as the business evolved.
• SaaS company experience (self-serve and sales-led motions).
• Working on a small or remote team independently.

Compensation & Benefits

• Standardized salary: $172,000
• Profit sharing and Kit equity
• 401(k) with a 5% match
• Medical premiums covered up to $2,280/month via Aetna; dental and vision fully covered
• $2,000 equipment allowance