About this role
Analytical professionals who thrive in ambiguous environments and enjoy building structures from scratch will find a fitting home in this founding-style position. The B2B data science team operates within a rapidly expanding ecosystem, partnering closely with leaders across revenue, product, finance, and strategy to guide commercial decisions.
Day-to-day work involves transforming complex commercial questions into clear operational plans and conducting deep dives into international expansion, monetization, and customer segmentation. Practitioners use SQL, Python, and modern AI tools to analyze product usage and sales activity, ultimately helping executives prioritize investments and shape the operating model of a growing capability.
What you will do
- Structure ambiguous B2B and go-to-market questions into clear operational plans by identifying necessary evidence and translating insights into action.
- Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, and organizational design.
- Analyze product usage, customer behavior, adoption patterns, sales activity, pipeline signals, and market context to uncover growth drivers.
- Partner with cross-functional leaders in GTM, Revenue, Product, Finance, RevOps, and Strategy to turn analysis into prioritization decisions.
- Communicate complex findings and transparent assumptions to executives with crisp recommendations and clear tradeoffs.
- Apply practical AI fluency to accelerate analysis, synthesize evidence, improve workflows, and support business decision-making.
- Help define the operational model for an emerging B2B data science capability, including stakeholder engagement and problem framing.
What you need
- Bring senior-level experience in quantitative roles such as data science, product analytics, decision science, or growth analytics.
- Demonstrate strong business judgment with a track record of translating ambiguous analytical work into actionable business decisions.
- Possess experience working on B2B, GTM, commercial strategy, monetization, or product growth problems.
- Show strong technical fluency with analytical tools like SQL and Python, or equivalent experience answering open-ended business questions.
- Exhibit consulting-style problem solving with the ability to structure broad questions and manage uncertainty.
- Display excellent executive communication skills to influence senior leaders and cross-functional partners.
Nice to have
- Experience in strategy consulting followed by data science work in technology
- Data science work within a consulting analytics practice
- An advanced degree in a relevant field
Benefits
- Offers Equity
Skills and tech stack
Questions candidates ask
What is the compensation range for this role?
The salary for this position is $347K to $445K accompanied by equity offers.
What teams will I be collaborating with?
This role partners with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science.
What technical skills are required?
Candidates need strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions.