--- title: 'Data Scientist (Growth) at Rox Data Corp' canonical: 'https://feeny.ai/job/data-scientist-growth-rox-data-corp-san-francisco-6k9nfh27ya63' type: 'job' last_seen: '2026-09-07' --- # Data Scientist (Growth) at Rox Data Corp - **Company:** Rox Data Corp - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-18 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/rox-data-corp/49a62752-3d88-46d1-8c43-48a4a0840d91 ## Job description ## ABOUT US At Rox https://rox.com/, we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality. ## THE TEAM Nothing is possible without the world-class team, assembled to redefine how businesses operate. Members on our team have: - Founded and exited successful companies - Held the highest positions at Google, AWS, Confluent, and New Relic - Won IMO and IOI gold medals - Published field-defining papers We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré. ## CORE PRINCIPLES TASTE: CRAFT BEAUTIFUL EXPERIENCES. No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers. OBSESSION: COMMIT UNREASONABLY. In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day. ACTION: GET IT DONE. Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed. ## ROLE As a Data Scientist at Rox, you will power the intelligence layer behind the world’s first revenue operating system. You’ll be responsible for the metrics, insights, and analytical frameworks that shape how we build product, operate as a business, and help our customers transform their revenue organizations. This is a high-ownership, high-leverage role for someone who thrives at the intersection of data, GTM, product strategy, and operational excellence. You will work directly with leadership, engineering, and GTM pods to create clarity, drive decisions, and build the analytical foundations that scale with the company. If you love turning ambiguity into structured insight, building clean data models, and influencing business strategy with evidence, this is the role for you. You'll be one of Rox's first dedicated data hires. It's an opportunity to help build an agile data function from the ground up at an early-stage, fast-growing company. ## RESPONSIBILITIES - Build and maintain dashboards, KPIs, and the company-wide single source of truth for revenue, usage, and customer telemetry. - Partner with GTM leaders to drive segmentation, funnel insights, measurement of workflow adoption and ROI. - Build and maintain COGS and unit-economics models with Finance, giving the business a clear view of cost-per-action and margin by customer and product. - Own and improve our dbt/Paradime models and Snowflake pipelines, keeping data quality, reliability, and consistency high as the foundation everything else runs on. - Ship self-serve tooling (internal data apps, dbt models, and Sigma dashboards) that GTM and Finance rely on without hand-holding. - Run deep product and usage analytics, including cohort and uplift analysis, to measure adoption, support enterprise rollouts, and inform product decisions. - Deliver clear, defensible analyses to support leadership and new revenue motions, framing the metric, the method, and the "so what." - Create scalable documentation, metric dictionaries, automations, and enablement materials while onboarding teams into Rox’s data ecosystem. ## QUALIFICATIONS ## REQUIRED - Degree in a quantitative field (e.g., Mathematics, Economics, Computer Science, Engineering, Statistics) - 2–5+ years experience in fast-paced, high-growth companies supporting Sales, Finance, or Product - Strong SQL and Python skills, able to work efficiently with large, messy datasets - Experience working with dbt ecosystems (e.g, paradime, dbt) - Experience building dashboards in tools like Sigma, Looker, Tableau, Mode, or equivalent - Exceptional analytical rigor and structured problem-solving skills - Strong communication skills, able to translate complex data into simple narratives for both technical and non-technical stakeholders - High energy, “no job is too small” mentality, and ability to operate with extreme ownership - Ability to context-switch rapidly and thrive in an environment of speed, ambiguity, and high expectations - Located in or willing to relocate to San Francisco ## PREFERRED - Experience at a consumption or usage-based business (e.g., Datadog, New Relic, Snowflake), with fluency in usage metering and unit economics - Or a Finance / FP&A background with experience building and owning COGS, margin, or cost models - Experience working directly with GTM organizations and leadership teams - Knowledge of revenue methodologies, KPIs, and operational models - Familiarity with data warehousing technologies - Experience designing semantic layers and metric governance processes - Ability to build minimal data apps, Python scripts, or automations to scale workflows - Experience supporting enterprise customers or working with B2B SaaS telemetry datasets - Strong intuition for business levers, product adoption mechanics, and cohort analysis - Comfort with AI-native development tools such as Cursor and Claude Code to move quickly ## BENEFITS - Competitive pay with considerable equity upside - Health Insurance ## APPLY To apply, please fill out the application form. We're looking forward to connecting with you! ## About Rox Data Corp ## Company Overview - **One-liner**: Rox provides AI-powered sales automation and revenue intelligence agents for Global 2000 enterprises, helping teams generate pipeline, manage deals, and grow revenue autonomously. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 - **Founders**: Ishan Mukherjee (CEO), Shriram Sridharan (CTO), Diogo Ribeiro (CGO), Christopher Ré (Cofounder, Research) ## Core Business - **Primary industries**: AI sales software, revenue intelligence, sales engagement, enterprise SaaS - **Target customers**: B2B enterprise (Global 2000), sales and revenue teams - **Mission/purpose**: "Secure and grow the world's revenue" – to be the essential AI transformation partner for the world’s leading companies. ## Products & Services - **Rox Platform**: A unified warehouse-native AI platform combining sales intelligence, engagement, and revenue intelligence. Key capabilities include: - **Sales Intelligence**: Prospecting, account research, CRM data cleanup, intent signals. - **Sales Engagement**: Multi-channel sequences (email, LinkedIn, cold calls, voicemail) with personalized drafting and autopilot. - **Revenue Intelligence**: Deal scoring, pipeline risk analysis, meeting summaries, conversation intelligence. - **Agent Workflows**: Autonomous agents for tasks like identifying upsell opportunities, generating call decks, and updating org charts. - **Conversation Intelligence**: Capture and analyze sales calls and meetings. - **Account Intelligence**: Org chart updates, hiring alerts (e.g., new CRO). - **Secure Knowledge Layer**: Governance, permissions, audit logs, and compliance (SOC 2 Type II, ISO 27001, GDPR). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding $50 M (Series A, November 2024, led by General Catalyst with participation from GV, Hong Shan, and others). An additional venture round in March 2026 (undisclosed amount) led by General Catalyst. - **Notable Investors/Partners**: General Catalyst, GV (Google Ventures), Hong Shan - **Growth Signals**: - Headcount of 95 employees (as of mid-2026) – 291% year-over-year growth - Operations in 8 countries (US, India, Netherlands, UK, Sweden, Bangladesh, Philippines, Kosovo) - Website monthly visits: ~81,685 (+16% monthly growth) - LinkedIn followers: 14,538 (+264.7% yearly growth) - Strong talent pipeline from top AI and tech companies (Glean, Scale AI, Apple, Confluent, Ramp, Stanford) ## Competitive Advantages - **Warehouse-native architecture**: Pre-built AI agents that work directly on a company’s data warehouse, enabling faster deployment and stronger governance. - **Enterprise-grade security & compliance**: SOC 2 Type II, ISO 27001, GDPR compliance, AES-256 encryption, and strict data usage policies. - **World-class applied AI team**: Co-founded by Christopher Ré (Stanford professor, known for work on data systems and AI), backed by a research arm (Rox Research) that ships frontier agent work into production. - **Focus on Global 2000**: Tailored for large, complex organizations with unified identity, permissions, and audit controls. ## Strategic Focus - **Deploying revenue agents at scale**: Automating the entire sales workflow from pipeline generation through deal management and expansion. - **Consolidating sales tools**: Replacing point solutions (e.g., separate sales engagement, conversation intelligence, data enrichment) with a single platform. - **Building a Unified Governance Engine**: Data controls, audit logs, and secure knowledge layers to meet enterprise compliance needs. ## Why Work Here - **Culture**: "Hardcore builders, owners, and founders" – a high-agency, fast-paced environment focused on shipping and impact. - **Team**: Strong founding team with deep AI and enterprise experience; 41% technical staff (engineering, product, data). Many hires from top AI companies like Glean, Scale AI, and Confluent. - **Growth trajectory**: Hyper-growth stage (3x headcount in a year) with substantial funding and backing from top VCs – offers rapid career advancement. - **Work model**: Primarily office-based in San Francisco (251 Rhode Island St, Suite 205). Hybrid/remote flexibility not explicitly stated but likely in-person heavy given stage. - **Perks & benefits**: Not detailed publicly, but the company emphasizes ownership, building, and being part of "the best Applied AI team to out-ship the market." ## Sources 1. [rox.com](https://www.rox.com/) 2. [rox.com/company](https://www.rox.com/company) 3. [LinkedIn](https://www.linkedin.com/company/rox-data-corp) 4. [Preqin](https://www.preqin.com/data/profile/asset/rox-data-corp/713665) 5. [Ashby Careers](https://jobs.ashbyhq.com/Rox-Data-Corp) ## Other roles at Rox Data Corp - [Equity Compensation and Payroll Lead](https://feeny.ai/job/equity-compensation-and-payroll-lead-rox-data-corp-san-francisco-wwza6v7ka0hm) — San Francisco, CA - [IT Engineer](https://feeny.ai/job/it-engineer-rox-data-corp-san-francisco-3p07tkyh7r9c) — San Francisco, CA - [Product Engineer (React)](https://feeny.ai/job/product-engineer-react-rox-data-corp-san-francisco-j02anw2xs80j) — San Francisco, CA - [Foundations Engineer (Deep Infra)](https://feeny.ai/job/foundations-engineer-deep-infra-rox-data-corp-san-francisco-ysa29wfmzwhr) — San Francisco, CA - [Foundations Engineer (Deep Platform)](https://feeny.ai/job/foundations-engineer-deep-platform-rox-data-corp-san-francisco-46ambgetygrs) — San Francisco, CA - [Revenue Enablement Lead](https://feeny.ai/job/revenue-enablement-lead-rox-data-corp-san-francisco-5qtd7f9qn905) — San Francisco, CA - [Customer Success Leader](https://feeny.ai/job/customer-success-leader-rox-data-corp-san-francisco-fvjwkf7rzpv1) — San Francisco, CA - [Founding Applied Research Engineer](https://feeny.ai/job/founding-applied-research-engineer-rox-data-corp-san-francisco-86n5phapv7y7) — San Francisco, CA - [Core Engineering](https://feeny.ai/job/core-engineering-rox-data-corp-san-francisco-s8f5yj2n99nc) — San Francisco, CA - [Growth Strategist](https://feeny.ai/job/growth-strategist-rox-data-corp-san-francisco-0rhgm5nzc2xg) — San Francisco, CA