---
title: 'Marketing Analytics Manager at Baseten'
canonical: 'https://feeny.ai/job/marketing-analytics-manager-baseten-san-francisco-4p2rq2tkthpv'
type: 'job'
last_seen: '2026-09-06'
---

# Marketing Analytics Manager at Baseten

- **Company:** [Baseten](https://feeny.ai/companies/baseten)
- **Location:** San Francisco, CA
- **Compensation:** $200k–$240k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/baseten/ee8fd565-d505-49be-861f-d16995583d5a

## 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

We're hiring a Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data. Marketing at Baseten is scaling fast: more spend, more campaigns, more model launches and more inbound. This is a foundational, hands-on role and the first dedicated Marketing Analytics hire. You'll work directly with Demand Gen, Field Marketing, MOps and Product Marketing alongside GTM, Finance, Product and Engineering to stitch together activities and outcomes across the funnel.

You'll build the data models that connect acquisition, engagement, activation, product usage and revenue. You’ll design dashboards, tools, semantic layers and plugins that enable teams to answer questions. Along the way, you’ll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve.

## RESPONSIBILITIES

- Define how Marketing success is measured: establish metrics across audience growth, acquisition, activation, engagement, usage, pipeline and revenue.
- Build the marketing data foundation: ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources.
- Create a medallion architecture that connects the prospect and customer journeys across systems, from first touch through signup, onboarding, activation and expansion.
- Understand our audiences: develop audience and segmentation frameworks based on customer attributes, intent, engagement and product behavior.
- Own lifecycle marketing analytics: measure performance across web, email, in product and other lifecycle touchpoints. Identify opportunities to improve the journey from acquisition and signup through onboarding and growth.
- Measure awareness and channel impact: establish practical frameworks for understanding brand, awareness and channel effectiveness using audience signals, engagement and downstream product behavior.
- Improve marketing activation and optimization: connect high-quality conversion and customer signals back into platforms such as Google Ads and LinkedIn, including offline conversions.
- Architect the building blocks that turn data into action: design and implement A/B experiments, incrementality testing and multi-touch attribution.

## REQUIREMENTS

- 5+ years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role, ideally supporting B2B, developer-focused, API, or usage-based products.
- Deep SQL fluency and strong analytical skills, with a track record of working with large, event-level datasets and turning ambiguous business questions into decision-ready analysis.
- Ability to connect data across marketing, CRM, web, SEO/AEO and product systems to understand customer journeys.
- Experience with paid ad platforms such as Google, LinkedIn and X; how to measure performance and optimize.
- Hands-on with GTM and marketing systems such as Salesforce, HubSpot, and Google Analytics.
- Experience building data pipelines and models with a modern data stack such as Airbyte, Fivetran, dbt, BigQuery and/or Databricks.
- Comfort working with APIs, automation and integration tools such as n8n or Zapier.

## PREFERRED QUALIFICATIONS

- Experience with AI/ML products and familiarity with inference and training metrics, including how technical product usage can inform customer lifecycle measurement and customer value.
- Experience with usage-based products, developer platforms or APIs.
- Experience developing multi-touch attribution, incrementality measurement, media mix models or other approaches for understanding Marketing's contribution across a complex customer journey.
- Experience implementing offline conversion pipelines or feeding first-party conversion and customer signals into advertising platforms.

## 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

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- [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
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