Founding Forward Deployed Data Scientist (3+ years)
- Compensation
- Not disclosed
- Location
- San Francisco, USA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- You are the kind of person that is interested in founding your own company but have been held back because you don’t yet have the right idea, cofounder or logistics in place. You have considered joini
- We feel you - we think that early employees are critical to the company’s success and usually aren’t rewarded appropriately. We offer top-of-the-market equity grants and cash compensation in the top 1
- 3+ years of hands on data science experience in a high caliber product-analytics teams, preferably at a B2B SaaS company
- Advanced Python & SQL skills: pandas, NumPy, StatsModels/Scikit-learn, warehouse fluency (BigQuery, Snowflake)
- Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation.
- Independently built and shipped analytics frameworks or tools adopted by product or growth teams
- Deep familiarity with causal inference and measurement techniques: A/B testing, diff-in-diff, propensity scoring, matched markets, statistical power analysis
- Practical experience with LLMs: prompt-engineering, embeddings, evaluation of hallucination risk
- Clear communicator: author executive level insights readouts for product, design, and engineering audiences
- Self-starter who thrives in ambiguity, prioritizes ruthlessly, and delivers projects end-to-end with minimal guidance
- Learns new tools and methods rapidly; consistently ships self-initiated improvements that cut analysis cycle-time
Full description
Compensation
Up to 3% equity and up to $250k in cash compensation.
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What We Do
Vantara is laying the foundation for self improving software. Our agent finds patterns in user behavior, rank orders issues in your products and proactively remedies them, finding hard to spot issues and opportunities. We aren’t publicly sharing more details about what we’re building just yet but would love to tell you more. You'll own direct relationships with these customers, delivering insights that drive real product decisions. This isn't traditional analytics - you're building the measurement infrastructure for the next generation of AI products.
What You’ll Do
- 70% Customer Champion: Build deep relationships with design partners, uncover what drives their success, and deliver insights that drive product changes for them.
- 20% Technical Builder: Create the next-gen methodology for generating user insights and productize it.
- 10% Product Strategist: Connect the dots between customer learnings and product vision. Your insights won’t sit in a deck - they’ll drive the roadmap.
Who We AreTeam
- Raghav Sethi has built distributed systems that ran on ~70,000 machines at Meta. He was a tech/product lead for Presto - Meta’s primary SQL analytics engine. At Airtable, he worked across infrastructure and product engineering. He re-engineered the core database structures for 10x scale and led three major new product initiatives. He is obsessed with customer feedback, and shipped multiple #1 feature requests and personally triaged ~9000 feedback entries. His final role at Airtable was leading the AI team, where he launched Airtable’s first 5 AI features along with a new pricing model.
- Rohan Katyal has led 0 to 1 product launches and built systems that scaled to global impact. At Meta, he launched Meta Verified the company’s first subscription product, and helped scale it to millions in ARR in under a year. He also led business messaging growth on WhatsApp, taking it from early traction to over $1B ARR. At Yelp, he built the company’s experimentation platform, now an Harvard Business School case study. He also verticalized the local services marketplace, accelerating growth that now accounts for the majority of company revenue. His work spans establishing new products, growth, and monetization.
The founders have been close friends since undergrad.
Stage
We have an initial version of the product deployed to a select group of design partners, and are co-building the product with them. We are backed by South Park Commons, Homebrew, and leaders from Anthropic, OpenAI, Meta, Sierra, Yelp, and Figma.
Logistics
- We are located in SF and work from the office 4 days/week.