Plaud.ai

Senior Data Scientist, B2B Product - San Francisco

San Francisco, CA · Senior · Full-time

Sponsorship not specifiedDetected 25 days ago

SQLData ScienceNLPA/B TestingComplianceProduct StrategyPro ToolsHIPAALeadershipCommunicationCollaboration

About the role

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.

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.
Lead Experimentation: Partner hand-in-hand with Product Managers and Engineering to define core hypotheses, design feature rollouts, and analyze/interpret product experiments.
Align Global Analytics: Collaborate closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
Partner hand-in-hand with Product Managers and Engineering to define core hypotheses, design feature rollouts, and analyze/interpret product experiments.
Collaborate closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
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.

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.
5-7+ years of experience in product data science, product analytics, or related roles within AI, tech, or product-led companies.
Advanced SQL proficiency, metric design framework expertise, and strong statistical fundamentals for experimentation analysis (A/B testing, multivariate testing) on large, complex datasets.
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.

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.
High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
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.

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.
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.

Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.

Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud's long-term success.
Architect Core Telemetry: Develop, scale, and maintain the vital sign metrics, dashboards, and automated analytical views that provide clear visibility into product learning and performance.

This listing is sourced directly from Plaud.ai's careers page and normalized into a canonical job model.