--- title: 'Senior Data Scientist, Product at Scribe' canonical: 'https://feeny.ai/job/senior-data-scientist-product-scribe-san-francisco-xkrctdsafbhd' type: 'job' last_seen: '2026-11-04' --- # Senior Data Scientist, Product at Scribe - **Company:** Scribe - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-04 - **Apply:** https://jobs.ashbyhq.com/scribe/ac3f15b1-bcf0-431b-924a-f524650ea635 ## Job description ## About Scribe [Scribe](https://scribe.com) is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset for people and AI agents. We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work. tl;dr – Why this role matters At Scribe, data is the foundation of how we make decisions — we take it very seriously. With 7M+ users and a fast-growing self-serve business, our product team ships quickly and needs to know what’s working, for whom, and why. We’re looking for our first product data scientist to answer our most important questions about how customers use Scribe, bring rigor to how we experiment, and lay the foundation of product data science that will shape the next generation of product investments. Hiring Manager: [Melanie Herscher](https://www.linkedin.com/in/melanie-herscher-2757a997/), Head of Data ## About the role As the first Senior Data Scientist for Product, you’ll partner with our product, design, and engineering teams to understand user behavior, identify opportunities, and measure the impact of what we build. Reporting directly to the Head of Data, you’ll define how Scribe approaches product analytics and experimentation, and set the standards that future data scientists will build on. From day one, you’ll also have the opportunity to mentor members of the data team and raise the bar for analytical rigor across Scribe. This role is highly visible, working directly with executive leadership as well as the product managers and engineers who own each area of the product. You will transform raw data from Scribe’s 5M+ users into clear, actionable insights, and your work will be central to how we grow our self-serve business and decide where to invest next. Key responsibilities of this role include: - Partner with product teams to drive insights, identifying opportunities and understanding user behavior, engagement, retention, and long-term trends across the Scribe product. - Own experimentation at Scribe by designing and analyzing experiments, and developing and socializing a rigorous culture of experimentation throughout the company. - Lead with hypotheses, developing and testing them with data rather than only looking for patterns in the data already in front of us. - Define and monitor key product metrics through consistent tracking, KPIs, and dashboards, and produce new datasets that unlock business opportunities. - Play a foundational role in building product data culture at Scribe through reproducible work, improved processes, and better tooling. - Help shape the team as it grows, with the opportunity to mentor teammates on statistics, experimentation, and analytical best practices. What makes you a great fit You’d be a great fit for this role if this sounds like you: - Have 8+ years of experience as a data scientist or data analyst with significant time partnering with product teams on products that customers love - Strong knowledge of statistics and experimental design, with hands-on experience running A/B tests and making sound calls when experiments aren’t possible - Strong technical proficiency in our tech stack – Snowflake, Sigma, Mixpanel, dbt cloud, and Looker – with expert SQL and fluency in Python or R - Customer mindset, adept at balancing quantitative data with qualitative insights to drive product decisions, and an excellent storyteller in writing and visualizations - Low ego. You care about building things and recognize that this may require rolling your sleeves up, getting in the trenches, and owning everything from instrumentation to analysis - Proactive, high-output orientation. You push insights and data onto teams rather than waiting for requests to emerge from them - Outcomes over output. You thrive on creating business value and know when to run a rigorous experiment v/s doing ugly napkin math to bias towards action - Experience building technical and semantic infrastructure to power internal natural language agents and agentic automation Bonus Points - Experience working in high-paced Enterprise SaaS startups, with a strong self-serve motion - Experience as the first or founding data scientist on a product team - Experience creating a step-function change in a product team’s decision-making with the help of AI tooling - Experience deploying machine learning models in Production - Experience mentoring analysts or data scientists ## Benefits - Healthcare Coverage – Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees - Equity – Ownership in what we're building - 401(k) Plan – through Vestwell - Flex Benefit – $500/year for home office equipment, productivity tools, learning & development or fitness/wellness - Commuter Benefits – $100/month for SF based employees - PTO – Flexible paid time off and company holidays - Parental Leave – Paid leave to support growing families - Wellness & Family Support – Free Talkspace membership, One Medical access (location-dependent), and Kindbody discounts for family planning At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer. Our Worker Privacy notice can be found [here](https://scribe.com/legal/worker-privacy). ## About Scribe ## Company Overview - **One-liner**: Scribe is an AI-powered platform that automatically captures, documents, and shares workflows, providing the missing context for teams and AI agents to operate efficiently. - **Entity Type**: Private (Series B) - **Headquarters**: San Francisco, California, USA (with employees across 3 continents) - **Founded**: 2020 - **Founders**: Jennifer Smith (CEO) and Aaron Podolny ## Core Business - Primary industry: Workflow documentation, AI-powered process intelligence, and enterprise knowledge management - Target customers: B2B, serving both SMBs and large enterprises (94% of the Fortune 500 are customers) - Mission: "To unleash and uplevel the world's know-how" — making it automatic for the "go-to person" on every team to share how they get things done ## Products & Services - **Scribe Platform**: An AI-powered tool that automatically captures step-by-step workflows as users work, transforming institutional knowledge into documentation, guides, and context that both human teams and AI agents can read. - **Scribe AI**: A suite of AI features that analyzes workflows to surface bottlenecks, redundancies, and time drains; provides data-backed recommendations for automation; and gives AI tools (like agents and copilots) the workflow context they need to perform 71% better. - **Workflow Intelligence**: A product that helps enterprises build their AI roadmap in days by identifying exactly where AI and automation will have the biggest impact and proving ROI. ## Market Standing - **Valuation**: $1.3 billion (as of early 2026, per Fortune reporting) - **Key Metric**: Total funding raised of $130M; YoY revenue growth of 300% - **Notable Investors/Partners**: Not explicitly named in search results, but the company is backed by prominent venture capital firms (early backers mentioned on the about page) - **Growth Signals**: - 6 million+ users and hundreds of thousands of organizations - 94% of the Fortune 500 are customers - 100+ employees across 3 continents - 35 hours saved per person per month for Pro Team & Enterprise customers - 98% of customers say they make fewer mistakes - 95% of leaders say Scribe enables them to do more with less - 12x faster documentation creation ## Competitive Advantages - **Network effects**: Every workflow captured enriches the platform's AI models, making recommendations smarter for all users - **Enterprise-grade security**: Meets SOC 2 Type II, HIPAA, CCPA, GDPR, FERPA, and other compliance standards, with automatic redaction of sensitive data - **AI-native architecture**: Purpose-built to provide context to both human teams and AI agents, solving the "context gap" that limits AI agent adoption in enterprises - **Zero-friction capture**: Documentation happens automatically as users work — no manual steps, no interrupting workflow - **High switching costs**: Becomes the "single source of truth" for all organizational processes, deeply embedded in daily operations ## Strategic Focus - **AI transformation**: Helping enterprises build their AI roadmap in days by measuring exactly where AI and automation will have the biggest impact - **Context for AI agents**: Positioned as the platform that gives AI tools the workflow context they've been missing — a critical enabler for enterprise AI agent adoption - **Scaling the best ways of working**: Ensuring best practices are followed consistently across teams and tools - **International expansion**: Already operating across 3 continents, with continued hiring globally ## Why Work Here - **Culture and values**: Strong emphasis on six core values that drive decisions daily: Accelerate Impact, Rapid Learning Machine, Raise the Bar, Clear is Kind, Make Our Users Heroes, One Team One Dream. These aren't "corporate buzzwords" — they are used regularly in meetings and decision-making. - **High agency, low ego**: Described as a place with no micromanagement, no ego — just "thoughtful, humble, incredibly driven teammates." - **Recruiting as a strategic advantage**: Talent is treated as foundational, not transactional. Hiring managers partner deeply with recruiting from day one. The bar is high but never lowered, even as headcount doubles. - **Rapid growth trajectory**: 300% YoY revenue growth and a $1.3B valuation mean employees are building at scale with significant resources and impact. - **Remote/hybrid policy**: Not explicitly stated, but the company has employees across 3 continents, suggesting a distributed or hybrid model. - **Mission-driven work**: Employees are united by a mission to "uplevel how people do work" and make every team member more effective. ## Sources 1. [scribe.com](https://scribe.com/) — Main product site with customer stats and value proposition 2. [scribe.com/about](https://scribe.com/about/) — Company mission, history, and values 3. [scribe.com/careers](https://scribe.com/careers) — Careers page with culture, values, and growth metrics 4. [scribe.com/library/what-its-like-to-recruit-at-scribe](https://scribe.com/library/what-its-like-to-recruit-at-scribe) — Internal recruiting blog post detailing culture and hiring philosophy 5. [fortune.com](https://fortune.com/2026/scribe-1.3-billion-valuation-ai-workflow/) — Fortune article: "Scribe hits $1.3B valuation as it moves to show where AI will actually pay off" ## Other roles at Scribe - [Product GTM Lead, Emerging Products](https://feeny.ai/job/product-gtm-lead-emerging-products-scribe-san-francisco-vv49enesftnz) — San Francisco, CA - [Contracts Manager](https://feeny.ai/job/contracts-manager-scribe-san-francisco-ma1ks7kp798c) — San Francisco, CA - [Staff Analytics Engineer, GTM](https://feeny.ai/job/staff-analytics-engineer-gtm-scribe-san-francisco-pvw7q0zzpjjj) — San Francisco, CA - [Manager, Large Enterprise Sales](https://feeny.ai/job/manager-large-enterprise-sales-scribe-united-states-2h1t41mzqtbe) — United States - [GTM Enablement Lead](https://feeny.ai/job/gtm-enablement-lead-scribe-san-francisco-j98m50pq8rr1) — San Francisco, CA - [Information Security and GRC Manager](https://feeny.ai/job/information-security-and-grc-manager-scribe-san-francisco-amdnrces8z8z) — San Francisco, CA - [Backend Engineer, Data Ingestion](https://feeny.ai/job/backend-engineer-data-ingestion-scribe-san-francisco-cp007dns2xj6) — San Francisco, CA - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-scribe-san-francisco-f4gm6ktgekbv) — San Francisco, CA - [GTM Operations Manager, Tooling and Process](https://feeny.ai/job/gtm-operations-manager-tooling-and-process-scribe-united-states-m9grn497w8d9) — United States - [Senior Database Reliability Engineer](https://feeny.ai/job/senior-database-reliability-engineer-scribe-remote-e133st8xvp29)