Data Scientist, B2B Growth - San Francisco
Plaud
Job Score
100 ptsAbout 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.
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Account Manager
The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.
Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.
Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Backend
The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.
Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).
Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
About Web3
The Web3 area represents the new phase of the decentralized internet, built on blockchain technology. Web3 professionals create decentralized applications (dApps), interact with smart contracts, manage digital assets (cryptocurrencies and NFTs), and utilize DeFi (Decentralized Finance) protocols, revolutionizing how data, ownership, and finance are managed online.
About Finance
The Finance area in technology companies combines traditional financial knowledge with advanced digital tools. FP&A, controlling, and corporate finance professionals are essential for the organization's financial health.
Key skills include financial modeling, metrics analysis (MRR, ARR, LTV, CAC), ERP (SAP, Oracle), and BI tools. Certifications like CFA and CPA-20 are differentiators.
The financial sector offers stable opportunities with competitive salaries, especially in fintechs and large technology companies.
About Social Media
The Social Media area is one of the most dynamic and constantly evolving fields in digital marketing. Social media professionals are responsible for creating, managing, and optimizing brand presence on digital platforms, building engagement and community with the target audience.
Key skills include social media management (Instagram, TikTok, LinkedIn, Facebook, YouTube), social media content creation, community management, paid social media (Meta Ads, LinkedIn Ads, TikTok Ads), metrics analysis, and strategic planning. Tools like Hootsuite, Sprout Social, Buffer, Later, and analytics platforms are essential.
Social media professionals in technology companies are highly valued, especially those who master paid social, social media analytics, and content strategies for different platforms. The field offers opportunities from analyst to head of social media, with a focus on growth, engagement, and return on investment.
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