Senior Data Scientist, B2B Product - 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 www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube.

Why You Should Join Us

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think. Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years. Define the next-gen paradigm for human-AI interaction. Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion. Work with passionate teammates who value innovation, collaboration, and customer success. Grow your career in a culture that champions continuous learning and fast career development. Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

About The Role

We’re looking for a Senior 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

• Drive B2B Product Strategy: Act as the strategic data science leader and subject matter expert for a new 0→1 B2B product initiative, mapping out professional workflows, team engagement, and product performance.
• Influence the Roadmap: Independently identify, frame, and solve high-impact product questions to guide our B2B features through their foundational growth phase.
• Lead Experimentation: Partner hand-in-hand with Product Managers and Engineering to define core hypotheses, design feature rollouts, and analyze/interpret product experiments.
• Arcitect Core Telemetry: Develop, scale, and maintain the vital sign metrics, dashboards, and automated analytical views that provide clear visibility into product learning and performance.
• Align Global Analytics: Collaborate closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.

Minimum Qualifications

• The Experience: 5–7+ years of experience in product data science, product analytics, or related roles within AI, tech, or product-led companies. Direct exposure to B2B SaaS, enterprise workflows, or zero-to-one product development is required.
• Technical Foundation: Advanced SQL proficiency, metric design framework expertise, and strong statistical fundamentals for experimentation analysis (A/B testing, multivariate testing) on large, complex datasets.
• Strategic Ownership: Proven ability to operate independently in highly ambiguous problem spaces—from identifying the right questions to driving the analysis and translating raw telemetry into action.
• Product Judgment: Strong B2B product and business intuition, with a track record of actively influencing feature prioritization, team workspace dynamics, and iterative design through data-informed insights.
• Communication: Exceptional communication and collaboration skills, with the ability to engage Product, Engineering, and executive leadership, and partner effectively with cross-region analytics teams.

Preferred Qualifications

• Direct experience analyzing user behavior for collaboration tools, productivity software, or multi-user B2B workspaces.
• 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.