---
title: 'Revenue Strategy & Operations, Sr. Analyst at Baseten'
canonical: 'https://feeny.ai/job/revenue-strategy-operations-sr-analyst-baseten-san-francisco-1hdcre602ctw'
type: 'job'
last_seen: '2026-09-06'
---

# Revenue Strategy & Operations, Sr. Analyst at Baseten

- **Company:** [Baseten](https://feeny.ai/companies/baseten)
- **Location:** San Francisco, CA
- **Compensation:** $150k–$190k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/baseten/5fdfe98f-c926-4af8-891a-79610b52ff96

## Job description

## ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

## THE ROLE

Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution.

You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written.

This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale.

## WHAT YOU'LL DO:

GTM Planning, Target Setting & Market Intelligence

- Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting
- Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning
- Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating
- Develop and maintain Baseten's segmentation logic: how we carve the market by industry, company profile, consumption potential, and AI maturity
- Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities
- Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data
- Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve

Pipeline Generation & Forecast

- Contribute to the design of the pipeline generation model: coverage ratios, qualified pipeline definitions, and input assumptions
- Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct
- Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes
- Build and maintain the analytics layer that powers GTM decision-making, from pipeline dashboards to cohort analyses to efficiency metrics

Field Execution & Plan Refinement

- Partner with the field to identify gaps in the business and develop structured plans to address them, supporting real-time actions as well as insights to guide QBRs, pipeline reviews, etc.
- Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan
- Contribute to execution optimization projects: improving the sales process, post-sale journey, and conversion at key funnel stages
- Close the loop between what's happening in the field and what needs to change in the plan

New Motions & Experimentation

- Support the design and execution of structured experiments to test new GTM approaches: new segments, new channels, new acquisition or expansion motions
- Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins
- Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks

## REQUIREMENTS

## Experience

- 3-5 years in GTM strategy, revenue operations, sales strategy, or a related function, ideally at a high-growth B2B SaaS or infrastructure company
- Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention
- Exposure to a company scaling through a Series B-D inflection point a plus; you have a sense of what good looks like and what breaks as you grow
- Background in consulting and/or banking / finance a plus

## Skills

- Exceptional analytical chops: you can build a coverage model, a cohort analysis, and a leadership-ready forecast narrative, and you know which one the moment calls for
- Strong business judgment: you don't just surface data, you tell people what it means and what to do about it
- Structured thinker and clear communicator: you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience
- Hands-on builder: comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data
- Collaborative operating style: you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority
- AI Fluency: you actively use AI tools to drive your own productivity, in how you analyze data, structure problems, draft communications, and accelerate your work

Mindset

- Comfortable with ambiguity; you can define the problem before solving it
- Bias toward action — you'd rather ship something good and iterate than wait for perfect
- Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why

## WHY BASETEN:

- Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space
- Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook
- High ownership, high visibility, direct access to leadership
- Competitive compensation, equity, and benefits

## BENEFITS

- Competitive compensation, including meaningful equity
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

## About Baseten

## Company Overview
- **One-liner**: Baseten is an AI infrastructure platform that provides high-performance inference infrastructure for deploying, optimizing, and managing AI models in production.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Tuhin Srivastava (CEO), Amir Haghighat (CTO), Phil Howes (Co-Founder & Chief Scientist)

## Core Business
- **Primary industry/industries**: AI Infrastructure / Cloud Computing / MLOps
- **Target customers**: B2B, targeting AI-native companies, enterprises, and developers building and deploying large-scale AI applications. Notable customers include Abridge, Cursor, Lovable, Notion, and OpenEvidence.
- **Mission or purpose statement**: Provide the tooling, expertise, and hardware needed for teams to bring performant AI products to market as quickly and reliably as possible. The company's core belief is that "inference is everything" and that the future of AI will consist of millions of specialized models embedded into every product and workflow.

## Products & Services
- **Baseten Cloud**: A fully-managed, global deployment platform for AI models. Provides out-of-the-box performance optimizations, 99.99% uptime, and massive horizontal scale. Supports single-tenant and self-hosted (hybrid) deployments.
- **Baseten Inference Stack**: The proprietary, underlying technology that powers the platform. Includes custom model runtimes (LLMs, embeddings, voice AI, image generation), advanced caching, custom kernels, and cutting-edge performance research. Claims 2x higher throughput and 10% lower latency for embeddings (BEI).
- **Baseten Chains**: Enables granular hardware and autoscaling for compound AI systems, reportedly powering 6x better GPU usage and cutting latency in half.
- **Frontier Gateway (Pre-optimized Model APIs)**: Allows users to instantly test and deploy pre-optimized versions of the latest open-source, custom, and fine-tuned models (e.g., Qwen, DeepSeek, GLM, gpt-oss).
- **Forward Deployed Engineering (FDE)**: A service offering where Baseten engineers work side-by-side with key customers to build, optimize, and scale their models from prototype to production.
- **Training on Baseten**: Allows users to train models and deploy them in one click on the inference-optimized infrastructure.
- **Monetization API**: An inference API that allows model developers to monetize their models.

## Market Standing
- **Valuation/Market Cap**: Not privately disclosed, but the company has raised a total of **$585M** in funding.
- **Key Metric**: Annual revenue of **$7.0M** (as per LinkedIn). Total funding of **$585M**.
- **Notable Investors/Partners**: IVP, Spark Capital, Bond, CapitalG, South Park Commons, Greylock.
- **Growth Signals**:
    - Announced a **Series F** funding round (details not fully public in search results).
    - **Massive headcount growth**: 224.4% year-over-year, now employing 201 people.
    - **LinkedIn follower growth**: 199.9% year-over-year.
    - **Active job postings**: 112 open roles.
    - Acquired the company **Parsed**.
    - Backed by high-profile institutional investors including CapitalG (Alphabet's growth fund) and IVP.

## Competitive Advantages
- **High-Performance Inference Stack**: A proprietary, deeply optimized stack focusing on ultra-low latency and high throughput for the most demanding Gen AI workloads (voice AI, real-time streaming, complex compound AI systems).
- **Customer Obsession & Forward Deployed Engineering**: A hands-on, consulting-style approach with their FDE team, which builds deep, sticky relationships with high-value customers like Abridge and Notion.
- **Global & Hybrid Cloud Flexibility**: Offers both fully-managed cloud and self-hosted deployments within customer VPCs, providing scalability and security for enterprises with strict data governance requirements.
- **Founding Team's Deep Technical Credibility**: Built by former researchers and engineers who experienced the "deployment hell" of AI systems firsthand, giving them deep empathy and expertise in the problem they are solving.

## Strategic Focus
- **Dominating the "Inference-as-a-Service" Market**: The company's core thesis is that inference will become the largest market ever created, and they are building the infrastructure to power it.
- **Scaling for High-Volume, Mission-Critical Workloads**: Focus on reliability, performance, and cost-efficiency for customers who cannot afford downtime or latency (e.g., AI phone calls, real-time translation).
- **Deepening the Technical Stack**: Continuously investing in performance research (custom kernels, new decoding techniques) and expanding capabilities into new areas like voice AI and audio streaming.
- **Aggressive Hiring**: With 112 open positions and massive YoY growth, scaling the engineering, sales, and operations teams is a clear priority.

## Why Work Here
- **Hard Technical Problems**: Engineers work on the most challenging problems in modern infrastructure—model serving, low-level GPU optimization, networking, distributed systems, and observability. This is a high-agency, high-impact engineering environment.
- **High Growth Trajectory**: The company is experiencing explosive growth (224% headcount increase, active hiring). This offers significant career acceleration and ownership opportunities.
- **Strong Engineering Culture**: Founded by engineers, for engineers. The culture emphasizes "first-principles thinking across the entire stack" and a "customer-obsessed" mindset. The employer rating on compensation, culture, and work-life balance is rated highly (5.0).
- **Top-Tier Team & Investors**: The team has strong talent density with hires from Meta, Stripe, Google, NVIDIA, and Databricks. Being backed by top-tier VCs provides stability and a clear long-term vision.
- **Hybrid/In-Office**: Based in San Francisco with a strong in-person or hybrid culture common for fast-moving infrastructure startups.

## Sources
1. [Company Website](https://www.baseten.co/)
2. [Careers Page](https://www.baseten.co/resources/careers/)
3. [About Us (Team)](https://www.baseten.co/about-us/)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/baseten)
5. [Ashby Careers Portal](https://jobs.ashbyhq.com/baseten)

## Other roles at Baseten

- [Capacity Operations Manager](https://feeny.ai/job/capacity-operations-manager-baseten-san-francisco-y3x505g4b4sp) — San Francisco, CA
- [Delivery Director, Capacity Programs](https://feeny.ai/job/delivery-director-capacity-programs-baseten-san-francisco-3atm4mfthp2s) — San Francisco, CA
- [Executive Assistant to the Head of Marketing](https://feeny.ai/job/executive-assistant-to-the-head-of-marketing-baseten-san-francisco-qs51cj7za0s8) — San Francisco, CA
- [Data Scientist (Analytics)](https://feeny.ai/job/data-scientist-analytics-baseten-san-francisco-be5fx1ph9j98) — San Francisco, CA
- [Marketing Analytics Manager](https://feeny.ai/job/marketing-analytics-manager-baseten-san-francisco-4p2rq2tkthpv) — San Francisco, CA
- [Software Engineer - Identity and Authorization](https://feeny.ai/job/software-engineer-identity-and-authorization-baseten-san-francisco-m144rq5swsse) — San Francisco, CA
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- [Technical Program Manager, Model Performance](https://feeny.ai/job/technical-program-manager-model-performance-baseten-san-francisco-hp4h7qz1jc68) — San Francisco, CA
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- [GTM Systems Manager](https://feeny.ai/job/gtm-systems-manager-baseten-san-francisco-3hdkx38cb13q) — San Francisco, CA