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.
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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.
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.
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.
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.
Align Global Analytics: Collaborate closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
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.
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.
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.
Based on 1,575 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $202K (10th–90th percentile: $103K–$246K).
See the full Data & ML salary breakdown →