Partner with the VP of Product on the data strategy that drives results for suppliers and buyers, network effects across the marketplace, and compounding platform differentiation — including embeddable, customer-facing analytics (aggregated insights, pricing intelligence, performance benchmarks, applied AI/ML) that deepen platform stickiness
Equip Operations with the data and intelligence to advise customers on best-in-class liquidation strategies
Identify and develop the commercial value of our data
including new data-driven products and premium offerings
Draw on your CPG and retail data fluency to shape product opportunities and customer-facing intelligence suppliers and buyers will value and act on.
Evaluate strategic data partnerships and technical investments that accelerate our roadmap, including liaising with other CPG and retail tech companies
Define and maintain the marketplace liquidity metrics that matter, and deliver clear, accessible monitors that drive decisions for Operations, Product, GTM, Senior Leadership, and the Board of Directors
Strengthen and scale how Spoiler Alert uses data and AI/ML in everyday decisions and execution, with internal adoption, accessibility, and impact as the measures of success
Partner across the leadership team using data and AI with Product on what problems to prioritize, Engineering on how to solve them, Operations and Account Management to improve customer outcomes, and GTM to drive revenue.
Contribute to external thought leadership, including the publishing of aggregated insights and category analyses, as well as participation in webinar and speaking opportunities
Recruit, develop, and lead a team with a culture of ownership, analytical rigor, and business impact, growing team members into partners who influence decisions across the company
Partner with Engineering and senior leadership to ensure data quality, consistency, and accessibility can support how the company and our customers want to use data and AI
Requirements
7-10+ years in analytics or data science, with 3+ years leading data teams
ideally at a high-growth B2B SaaS, marketplace, or data products company
Direct experience with CPG and/or retail data: the metrics suppliers and buyers use, and how it moves and gets used between manufacturers, distributors, and retailers
Track record of shipping customer-facing data products that drive measurable customer and business value
not just dashboards, but decisions and value
Commercial instinct for where data creates business value
including new products, premium offerings, or partnerships
Hands-on comfort with SQL and the modern data stack
close to the work alongside the team and a credible partner to Engineering
Hands-on expertise to coach and collaborate with data team members across the stack, from dbt, SQL, semantic modeling languages, and data visualization in BI tools to python, pandas, jupyter notebooks, and LLMs in AI/ML tools.
Power user of AI with an ambitious and pragmatic viewpoint on its impact within retail and CPG including expert insight on where the modern data stack and AI/ML products are heading
Track record of hiring and developing strong analysts
Cross-functional credibility with Product, Engineering, GTM, and senior leadership; brings clarity in ambiguity and drives decisions
Operates with a bias for action and communicates data clearly to a wide variety of stakeholders.
Tech Stack
Pandas
Python
SQL
Benefits
Remote-first environment, with co-working access for locals in BOS, NYC, & DEN
Competitive salary and stock option packages
Subsidized health, dental, and vision insurance plans
Climate-focused, pre-tax 401(k) and post-tax Roth 401(k) options
12-16 weeks of paid parental leave + flex return to work
15+ company holidays, including an "End of Year Reset Week"
20 vacation days and 10 sick days per year
Focus Fridays (no meetings after 1PM local)
Summer Fridays (1/2 day)
Paid volunteer outings and civic engagement leave
Annual flex funds for remote work needs, learning & development, and socializing with colleagues