---
title: 'Staff Applied Scientist, Financial Forecasting at Vercel'
canonical: 'https://feeny.ai/job/staff-applied-scientist-financial-forecasting-vercel-san-francisco-37wcfst7r07h'
type: 'job'
last_seen: '2026-09-05'
---

# Staff Applied Scientist, Financial Forecasting at Vercel

- **Company:** Vercel
- **Location:** San Francisco, New York City
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/vercel/jobs/5973206004

## Job description

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

## About the Role

We're seeking a Staff Machine Learning Data Scientist to lead consumption forecasting at Vercel. This is a staff-level technical leadership role: you'll architect the ML systems and modeling approach behind forecasting that powers financial planning, infrastructure investment, and executive decision-making, and set the technical direction other data scientists and engineers build against.

You'll define the company's forecasting methodology from first principles, push the underlying modeling techniques well beyond off-the-shelf approaches, and build ML systems that scale with Vercel's rapidly growing platform. The role sits at the intersection of Finance, Infrastructure, Product, and GTM, with high visibility across leadership and significant latitude to define how the problem gets solved.

## What You Will Do

- Architect and own Vercel's end-to-end consumption forecasting ML systems across compute, bandwidth, edge functions, storage, and emerging products.
- Design and productionize advanced ML approaches for time-series forecasting (deep learning-based forecasting, probabilistic/Bayesian methods, hierarchical and hybrid statistical-ML architectures), going beyond standard forecasting libraries where the problem demands it.
- Develop multi-horizon forecasting systems, from operational to quarterly to long-range planning, including hierarchical architectures that reconcile predictions across account, cohort, segment, and global aggregate levels.
- Build the ML infrastructure and tooling for backtesting, monitoring, drift detection, and forecast explainability, setting the standard other data scientists build on.
- Develop scenario simulation and causal inference frameworks to evaluate pricing changes, packaging adjustments, and product launches before they ship.
- Partner directly with Finance leadership on board-level reporting and revenue planning, and with Infrastructure Engineering on capacity planning and cost optimization, acting as the technical authority on what the models can and can't tell them.
- Work with Product and GTM teams to model adoption curves, expansion dynamics, and usage drivers using advanced causal and predictive techniques.
- Set technical standards for ML methodology, experimentation, and measurement across the Data organization, and mentor senior data scientists and ML engineers.

## About You

- 8+ years of experience in machine learning, data science, or applied statistics, with a track record of operating at a staff or principal level.
- Deep, hands-on expertise in advanced time-series forecasting and ML modeling techniques (deep learning architectures for forecasting, Bayesian/probabilistic modeling, hierarchical reconciliation), not just applied statistics.
- Proven experience architecting and productionizing ML systems at scale, including the infrastructure for training, serving, monitoring, and retraining models in production.
- Strong Python and SQL proficiency, with deep experience on large-scale usage and billing datasets, plus a strong grounding in causal inference and experimentation design.
- Experience setting technical direction and partnering closely with Finance or executive leadership on planning cycles, as a peer to senior stakeholders, with the ability to translate advanced ML concepts into decision-ready insights for non-technical audiences.
- A track record of technical leadership: setting standards, mentoring senior ICs, and influencing how an organization approaches ML and forecasting.
- Comfortable defining ambiguous, high-stakes problems from scratch and operating autonomously in a fast-moving environment.
- Experience in cloud infrastructure, developer tools, or consumption-based revenue models.

## Nice to Have

- Background in capacity planning or cost modeling at scale.
- Experience with modern data and ML stacks (e.g., Snowflake, Delta Lake, dbt, Airflow, feature stores, MLOps tooling).
- Prior experience as a technical lead for a data science or ML team, even without formal management authority.

Benefits:

- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
- Flexible Time Off.
- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $250,000 - $330,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

## About Vercel

## Company Overview
- **One-liner**: Vercel provides cloud infrastructure, developer tools, and frameworks (including Next.js) for building and deploying websites and applications.
- **Entity Type**: Private (Series F, September 2025)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2015 (as ZEIT; rebranded to Vercel in April 2020)
- **Founders**: Guillermo Rauch

## Core Business
- **Primary industries**: Edge computing, web hosting, content delivery network, developer tools
- **Target customers**: B2B – developers, engineering teams, enterprises, and startups building modern web applications
- **Mission / Purpose**: “Agentic infrastructure for every app and agent” — enabling humans and AI to build software together (from [vercel.com/about](https://vercel.com/about))

## Products & Services
- **Next.js**: Open-source React framework for building full-stack web applications (created and maintained by Vercel).
- **Vercel Edge Network**: Global edge infrastructure for serverless compute, static hosting, and dynamic rendering.
- **v0 (AI web development tool)**: Generates front-end code from natural language prompts; winner of a 2025 Webby Award.
- **AI SDK**: Open-source library for building conversational streaming interfaces in JavaScript/TypeScript.
- **Turborepo**: Monorepo build system (acquired in Dec 2021).
- **Fluid (infrastructure model)**: Allows instances to handle multiple concurrent requests like traditional servers while retaining serverless elasticity (introduced 2025).

## Market Standing
- **Valuation**: $9.3 billion (Series F, September 2025)
- **Total Funding**: ~$652 million (Series C $102M in June 2021, $250M in May 2024 at $3.25B valuation, $300M Series F in Sep 2025)
- **Key Metric**: ~900 employees (as of 2026), growing from ~550 in 2025
- **Notable Investors & Partners**: Accel, GIC (co-led Series F); angel investors include Nat Friedman (former GitHub CEO), Jordan Walke (React creator), Naval Ravikant, and others (from [vercel.com/about](https://vercel.com/about))
- **Growth Signals**: Rapid valuation growth ($3.25B to $9.3B in ~16 months); acquisitions of NuxtLabs (Jul 2025), Tremor (Jan 2025), Splitbee (Oct 2022); appointment of Mitchell Hashimoto (HashiCorp co-founder) to board in Mar 2026.

## Competitive Advantages
- **Next.js ecosystem dominance**: Extensive adoption; Vercel controls the most popular React framework, creating a strong lock-in for deployment.
- **Composable architecture**: MACH Alliance member; supports Git-based workflows, serverless, and edge functions.
- **AI-native product suite**: v0 and AI SDK provide unique capabilities for developer productivity and conversational UI.
- **Fast innovation cycle**: Ship-fast culture backed by high funding and strong engineering talent.

## Strategic Focus
- **Agentic infrastructure**: Building the platform where both humans and AI agents build, deploy, and scale software.
- **AI integration**: Deepening capabilities of v0, AI SDK, and AI Gateway; automated infrastructure improvements.
- **Enterprise adoption**: Appointing board members with enterprise experience; expanding sales and partner roles.
- **Fluid model**: Evolving serverless to handle stateful, long-running workloads.

## Why Work Here
- **Culture**: Engineer-driven, ship-fast ethos; 75% of Glassdoor reviewers recommend to a friend; overall rating 4.1/5.0 as of 2026 ([jobsbyculture.com](https://jobsbyculture.com/blog/working-at-vercel-2026))
- **Work model**: Remote-first (U.S. roles also in San Francisco, New York City, Austin); distributed across 54% U.S., 8% U.K., 5% Germany, etc. ([LinkedIn](https://www.linkedin.com/company/vercel))
- **Compensation**: Typical engineering range $180k–$320k (senior roles); benefits and equity are competitive (from [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-vercel-2026))
- **Engineering quality**: High bar for talent; known alumni go to top AI/cloud companies; strong open-source contributions (Next.js, Turborepo, AI SDK)
- **Recent departures do not diminish growth**: Despite some leadership changes (e.g., Head of Mobile left Mar 2026, Director of Commercial Sales left Apr 2026), the company continues to hire heavily (94 active postings as of mid-2026, +2.2% YoY) ([LinkedIn](https://www.linkedin.com/company/vercel))

## Sources
1. [wikipedia.org](https://en.wikipedia.org/wiki/Vercel)
2. [linkedin.com](https://www.linkedin.com/company/vercel)
3. [vercel.com/about](https://vercel.com/about)
4. [vercel.com/careers](https://vercel.com/careers)
5. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-vercel-2026)

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