Data Scientist, B2B Growth - San Francisco

ABOUT PLAUD INC. Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 2,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.   Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.   To learn more about Plaud, please visit http://www.plaud.ai/https://www.plaud.ai and follow along on Instagram https://www.instagram.com/plaud_official/, https://twitter.com/PLAUDAI%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5C%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5CX https://twitter.com/PLAUDAI, Facebook https://www.facebook.com/plaudai, LinkedIn https://www.linkedin.com/company/plaudai/?viewAsMember=true, and YouTube https://www.youtube.com/@PLAUDAI   ABOUT THE ROLE We’re looking for a Data Scientist to partner closely with Product Management on an upcoming product initiative. This is a hands-on role designed for someone who can identify the right problems to solve, execute rigorous analysis end-to-end, and translate insights into clear product decisions. You will operate in an early-stage product environment where ambiguity is high, metrics are evolving, and early decisions have an outsized impact on product adoption, active usage, and future monetization opportunities. WHAT YOU WILL DO - Own the Growth & Commercial Architecture: Architect and define key commercial metrics, funnels, and leading indicators across user acquisition, activation, conversion, retention, and revenue performance. - Drive Monetization & Pricing Strategy: Partner with leadership to support subscription monetization, packaging, and pricing decisions by building structured evaluation frameworks and clear, data-backed recommendations. - Lead Growth & Marketing Experimentation: Design, execute, and validate marketing campaigns, growth initiatives, and product-led growth (PLG) experiments, ensuring strict statistical rigor (A/B testing, cohort modeling). - Proactive Funnel Diagnostics: Act as the detective for our revenue engine. You will hunt down the root causes behind metric anomalies, conversion fluctuations, or performance dips, translating raw data into executive-ready narratives and decision memos. - Scale Self-Serve Data Products: Build automated dashboards and robust business review materials that give Go-To-Market (GTM) teams and executives trusted, crystal-clear visibility into real-time performance. - Align Global Analytics: Partner closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency. MINIMUM QUALIFICATIONS - The Experience: 3–5+ years of experience in growth data science, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies. - Technical Foundation: Advanced SQL proficiency and deep experience with commercial analytics methods (funnel analysis, cohort analysis, lifetime value modeling, user segmentation). Strong hands-on experience building out modern BI reporting systems (e.g., Looker, Tableau, Metabase). - Strategic Ownership: High ownership mindset with a proven ability to turn complex, multi-touch datasets into clear, actionable business strategies. You take pride in moving projects independently from data pull to executive pitch. - Business Acumen: Strong commercial intuition. You understand sales funnels (e.g., renewal, expansion) and know how marketing channels interact with product conversion. - Communication: Clear, compelling communication skills with the ability to bridge the gap between technical datasets and non-technical growth partners. PREFERRED QUALIFICATIONS - Direct experience supporting B2B monetization, packaging changes, or hardware-plus-software pricing strategy. - Comfort using AI-assisted analytics tools or automation workflows to maximize analytical efficiency. - A background working in fast-paced tech environments or early-stage products with rapidly evolving data infrastructure. WHAT WE OFFER - Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success. - High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity. - Comprehensive Health & Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees. - Time Off & Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment. - Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency. - Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires. - Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity. Disclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.