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The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.
Job Responsibility:
Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion)
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams
Requirements:
Proven track record of applied data science with measurable GTM impact
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders
Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables
What we offer:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
MacBooks are our standard, but we also offer Windows for certain roles when needed
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