Lead GTM Analytics Engineer

Job summary

Valimail, a DigiCert company, is helping build a more trusted digital world—starting with email. Valimail is a leader in Email Authentication as a Service. Built on open standards such as DMARC, DKIM, and SPF, Valimail pioneered automated email authentication to protect organizations from impersonation and fraud. Together, Valimail and DigiCert deliver scalable, automated trust—helping organizations operate securely today while preparing for what’s next.

If you’re excited about building meaningful security technology, shaping new categories, and working at the intersection of innovation and global impact, Valimail offers the opportunity to do exactly that.

The Lead GTM Analytics Engineer owns the data model that powers Valimail’s go-to-market execution across Sales, Marketing, Customer Success, and Partnerships. This role defines the metrics, attribution logic, and analytical foundations that enable predictable revenue performance and high-confidence decision-making. This is a senior individual contributor role responsible for translating ambiguous business questions into durable, scalable data structures, and delivering clear insights that directly influence GTM strategy and execution.

 

What you will do

• 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.

 

What you will have

• 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

 

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