This is not a reporting role. This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.

You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.

What will I be doing?

• Build Revenue-Impacting ML Systems
• Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)
• Productionize models into operational systems (Salesforce, Marketo, outbound workflows)
• Monitor model performance and iterate for measurable business lift
• Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)
• Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)

You don’t just build models - you ensure they change behavior.

Own End-to-End Data Products

• Translate ambiguous business problems into clear, measurable objectives
• Define GTM data products vision, success metrics, and roadmap
• Ensure integration into existing workflows and systems
• Lead stakeholder alignment and change management
• Secure buy-in from system owners before replacing or enhancing existing solutions

You operate as a mini GM for your data products.

Architect Scalable Data Foundations

• Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure
• Ensure data quality, governance, and reproducibility
• Elevate the team’s standards for experimentation, documentation, and knowledge sharing
• Push adoption of new tools and AI capabilities where appropriate

You raise the technical bar for the GTM organization.

What impact might I have?

Within 6-12 months, you might:

• Launch predictive models that materially improve conversion, expansion, or retention
• Reduce inefficiencies in Sales workflows through automation
• Help leadership make investment decisions backed by rigorous data science
• Influence GTM strategy through quantitative insight and modeling

Success is measured in business outcomes - not dashboards built.

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