Description
We are building a GTM Data Products team to embed machine learning and AI directly into our Sales and Marketing workflows. We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve customer acquisition, sales efficiency, and customer retention and expansion.
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.