Responsibilities

• Design, build, and own the end-to-end GTM data model, including lifecycle stages, funnel metrics, attribution logic, forecasting signals, scoring inputs, and cross-sell indicators.
• Create and maintain a semantic layer that ensures consistent, trusted reporting across all GTM teams.
• Define GTM metrics, data standards, and analytical logic that unify Sales, Marketing, Customer Success, Partnerships, and Product GTM data.
• Partner with business and GTM leadership to translate strategic questions into scalable analytical models.
• Build and maintain BI dashboards and analyses (e.g., pipeline, conversion, campaign performance, onboarding, and cross-sell).
• Provide data logic that powers routing, scoring, enrichment, lifecycle automation, and GTM workflows.
• Partner closely with Systems and Operations teams to ensure workflows run on clean, validated, and battle-tested data models.
• Establish data validation, QA processes, and monitoring to maintain high data quality across systems.
• Document data models, definitions, and logic to ensure clarity, consistency, and usability across stakeholders.

Requirements

• 7+ years of experience in analytics engineering, data engineering, or BI roles supporting GTM or revenue-focused teams.
• Expert-level SQL and deep experience designing scalable analytical data models.
• Strong understanding of GTM metrics, funnel performance, attribution models, and lifecycle frameworks.
• Hands-on experience with Snowflake as a core data warehouse.
• Experience working with Salesforce, marketing automation platforms, customer success tools, and enrichment systems as data sources.
• Proven ability to build dashboards or data applications and clearly communicate insights to non-technical audiences.
• Ability to take loosely defined business logic and operationalize it into clean, durable data structures.
• Strong documentation and communication skills, with the ability to influence both technical and business stakeholders.
• An owner mindset, accountable for the correctness, clarity, and usability of GTM data.

Nice To Have

• Experience with Python and modern data stack tools such as Airflow, Fivetran, or Stitch.
• Experience applying AI or ML concepts at the data layer.
• Experience working in high-growth B2B SaaS environments with complex GTM motions.

Benefits

• Competitive pay, the expected base pay range for this role is $160,000 - $170,000 USD
• Comprehensive health, dental, + vision coverage
• Remote First Company, you can work anywhere within the US
• Unlimited and flexible PTO. We believe balanced, happy, relaxed people do better work