Data Scientist, B2B Growth - San Francisco

Plaud; San Francisco (CA); Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

ESOP

Health benefits

401(k) with company match

Unlimited PTO

Parental leave

Job summary

Plaud Inc. seeks a Data Scientist to partner with Product Management on a growth initiative, owning analytics from problem identification to data-backed product decisions that drive adoption and monetization.

You will shape metrics, funnels, and revenue strategy in an early-stage product environment with evolving KPIs. In this role, you’ll design growth experiments, build automated dashboards, diagnose funnel issues, and collaborate with cross‑regional teams to deliver actionable insights for

Qualifications

• 3–5+ years of growth data science, commercial/revenue analytics, or product analytics in tech, B2B SaaS, or high‑growth AI companies.
• Advanced SQL proficiency and deep experience with funnel/cohort/LTV analytics.
• Strong BI reporting experience with Looker, Tableau, or Metabase.
• Ability to translate multi‑touch data into clear business strategies and executive pitches.

Responsibilities

• Own the Growth & Commercial Architecture: define key metrics, funnels, and indicators across acquisition, activation, conversion, retention, and revenue.
• Drive monetization & pricing strategy with structured evaluation frameworks and data-backed recommendations.
• Lead growth experiments and PLG initiatives with rigorous A/B testing and cohort analyses.
• Perform proactive funnel diagnostics to identify root causes of metric fluctuations and inform decisions.
• Scale self-serve data products by building dashboards and business review materials for GTM teams and executives.
• Align analytics across regions to ensure global data consistency and comparable insights.

Skills

Advanced SQL

Funnel analysis

Cohort analysis

Lifetime value modeling

User segmentation

Strategic ownership

Communication

Business acumen

Tools

Looker

Tableau

Metabase

Job description

About Plaud Inc.

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

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._