---
title: 'Machine Learning Engineer at Clay Labs'
canonical: 'https://feeny.ai/job/machine-learning-engineer-clay-labs-san-francisco-eg0h0xjc6bvj'
type: 'job'
last_seen: '2026-09-11'
---

# Machine Learning Engineer at Clay Labs

- **Company:** [Clay Labs](https://feeny.ai/companies/clay-labs)
- **Location:** San Francisco, CA
- **Compensation:** $170k–$300k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-14
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/claylabs/d04f47c4-aed6-481d-a093-74c2ae4f3432

## Job description

## About Clay

AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential. Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research. In 2026, we raised a [$115M Series D](https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww.nytimes.com%2F2026%2F09%2F09%2Fbusiness%2Fdealbook%2Fclay-ai-fundraising.html%3Fsmid%3Durl-share%26unlocked_article_code%3D1._1A.E5rN.MeYsbgEsUKbB&urlhash=XS4q&mt=4bpSf4a8omAKuAHqAqZx6C11QpbLK_QwIhSV7gSf4Wf9aywPF_KBSiX9IkWE1AhXBEjPH8mK6fAEN7CMFlpvo0lPAtKRjs-dhgzYqHiVKUMCRtw0jScFgxWCRRfYs4HCX0YL9L6PCQz-edBLinvRdU_TaVUL2dA3&isSdui=true&lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BoQmIsufoRJm7X2HC5Rqd%2Fw%3D%3D) at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education. Some things to know about us:

- Our [community](http://community.clay.com) includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ [Clay clubs](https://luma.com/claylive), and 30k members on Slack.
- Our [culture](https://nextplayso.substack.com/p/spotlight-clay) is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
- All employees can work with world-class coaches who specialize in creativity, management, and more.
- Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them [here](https://cdn.prod.website-files.com/61477f2c24a826836f969afe/685d83a71452245cc1129791_4d770abfd83e276ec15315a2e06945bd_Clay2025_OperatingPrinciples.pdf).
- Read about us in the [NYT](https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.html), [Forbes](http://google.com/search?q=forbes+clay&rlz=1C5OZZY_enUS1155US1155&oq=forbes+clay&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQABiABDIHCAIQABiABDIHCAMQABiABDIHCAQQABiABDIHCAUQABiABDIHCAYQABiABDIHCAcQABiABDIHCAgQABiABDIHCAkQABiABNIBBzkzM2owajSoAgOwAgHxBVAe8UAxJx_p&sourceid=chrome&ie=UTF-8), [First Round Review](https://review.firstround.com/podcast/inside-clays-unconventional-path-to-1-25b/), [and more](https://www.clay.com/press).

Hear from our employees directly on our [Glassdoor](https://www.glassdoor.com/Overview/Working-at-Clay-EI_IE9850794.11,15.htm) page!

Machine Learning Engineer @ Clay Clay's ambition is to build a self-learning revenue engine: a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of everything we are building. We're looking for a Machine Learning Engineer to join the Learning Team: a centralized group of MLEs and data scientists whose charter is building the intelligence engine that powers learning loops across every surface of the product. You'll ship intelligence features at the heart of the product: systems that learn a customer's business from their data and behavior, ranking and recommendation experiences, net new 0 to 1 AI products, and the ML platform that makes all of it possible.

## What You'll Do

Build learning loops into the product Design and ship systems that allow Clay to learn and improve using user behavior and important business data. Build net-new recommendation-first experiences, from prototype through production. Build the ML and data platform Help stand up the infrastructure that underpins learning including data lake foundations and serving infrastructure. Evaluate new tools for their ability to accelerate our product vision. Collaborate with our data science and data platform teams to ensure we’re all using a common data language. Make quality measurable Build eval systems and online monitoring so learning features are trustworthy and ensure they are actually positively impacting users’ experience of Clay. Work across product teams The Learning Team maintains one shared roadmap serving all product teams; you'll partner with almost every product team at Clay to make their surfaces smarter.

## What You'll Bring

5+ years in machine learning engineering or ML-heavy software engineering, with models and ML-powered features shipped to production Strong engineering fundamentals: you write production-quality code and own systems Experience with LLMs in production (prompting, evals, guardrails, fine-tuning) and/or classical ML (ranking, recommendations, propensity models) Experience building data-intensive systems: pipelines, feature infrastructure, retrieval, serving Pragmatic product sense — you optimize for the end user experience and business impact, and know when simple beats sophisticated Comfort with ambiguity — much of this platform is being built from the ground up A passion for the AI space: you stay up-to-date on the latest innovations and tools, and are excited to be at the frontier

Nice To Haves Experience building recommendation systems, search ranking, or personalization Experience designing eval frameworks for LLM or ML systems Familiarity with modern data stack tools (Snowflake, dbt, Dagster) and data lake architectures

## Experience in fast-moving startup environments

## Why Clay

This is a rare greenfield: the Learning Team is new, its charter comes straight from company leadership, and learning loops are central to Clay's product vision. You'll define the architecture, set the standards, collaborate on the product vision, and ship the features that make Clay feel like it truly knows every customer. We value ownership, clear thinking, and work that has real impact.

## About Clay Labs

## Company Overview
- **One-liner**: Clay is a creative go-to-market (GTM) platform that helps teams build automated systems to grow revenue by combining data enrichment, AI agents, and workflow orchestration.
- **Entity Type**: Private (Series C expansion at $3.1B valuation, tender offer at $5B)
- **Headquarters**: New York, New York, United States
- **Founded**: 2017
- **Founders**: Not publicly disclosed in available sources

## Core Business
- **Primary industry**: Go-to-market (GTM) software / Sales & Marketing technology
- **Target customers**: B2B GTM teams of all sizes – from solo operators to enterprise sales, marketing, and revenue teams
- **Mission**: Help people grow businesses by providing the best data foundation possible to reach their best-fit customers

## Products & Services
- **Data Marketplace**: Access to 200+ data and AI vendors in one contract – enabling teams to buy, enrich, and combine first-party, intent, and third-party data.
- **Agents**: Create AI agents that mimic top sales representatives to automate research, prep, and follow-ups.
- **Orchestration**: Build multi-step workflows that connect GTM tools (CRM, email, ads) and trigger actions based on real-time signals.
- **Automated Outbound**: Programmatically generate 1:1 messaging, launch new plays in days, and scale outbound campaigns.
- **Lead Scoring & Routing**: Enrich, score, and route every lead to the right rep in minutes.
- **Pre‑Call Prep Agent**: Researches prospect bios, earnings reports, and company changes to fully automate pre‑call prep.

## Market Standing
- **Valuation**: $5B (via employee tender offer, January 2026); previous Series C at $3.1B (2025)
- **Key Metric**: Annual revenue of $35.5M; total funding $202M
- **Notable Investors**: Sequoia Capital, CapitalG, First Round Capital, Meritech Capital Partners
- **Growth Signals**:
  - Headcount of 792 employees (+74.6% YoY)
  - 500,000+ GTM teams trust Clay
  - Named #1 mid-stage company on the ENT30 list
  - Only GTM company on Forbes’ 2025 AI 50 List
  - Customer case studies: Anthropic 3× enrichment rate, OpenAI automated pre‑call prep, Intercom grew outbound pipeline 140%, Vanta cut follow‑up time from 3 days to <1, Mistral AI cut TAM mapping from 2 months to 10 days
  - Active job postings grew 763% YoY; operates in 47 countries

## Competitive Advantages
- **Unique combination of data marketplace + AI agents + workflow automation** in a single platform – reduces the need for multiple tools and manual coordination.
- “A single person can run growth campaigns that previously required coordinating the entire GTM team.”
- **Massive data marketplace** (200+ vendors) with one contract simplifies data procurement.
- **Network effects** – 500,000+ users contribute to a growing community of GTM engineers.

## Strategic Focus
- Deepen AI capabilities in agentic workflows for GTM
- Expand the data marketplace with more vendors and intent signals
- Continue scaling globally (already in 47 countries) and hiring aggressively (164 open roles)
- Build out ecosystem partnerships and enable customers to become “GTM engineers”

## Why Work Here
- **Culture**: Kindness, creativity, “quiet ego”, and a focus on helping each other grow. Values like “Make it work, then make it great” and “Negative maintenance” (improve a little every day).
- **Work model**: Flexible in‑person culture – office in Chelsea, NYC, with daily team lunches and DJ Fridays. Hybrid flexibility offered; remote roles available.
- **Benefits**: Competitive salary, fully funded health/dental/vision, 4 months paid parental leave, IVF and egg freezing benefits, flexible PTO, yearly company retreats, visa sponsorship.
- **Engineering**: Emphasis on craft, attention to detail, and deep enjoyment of the building process. Engineers work on AI, data infrastructure, and scalable systems.
- **Interview process**: Typically 3–5 interviews (behavioral + technical) plus a founders interview; practical exercises and reference checks.

## Sources
1. [Clay.com – Careers](https://www.clay.com/careers)
2. [Clay.com – About](https://www.clay.com/about)
3. [Clay.com – Main Site](https://www.clay.com/)
4. [LinkedIn – Clay (Clay Labs Inc.)](https://www.linkedin.com/company/grow-with-clay)

## Other roles at Clay Labs

- [VC Partnerships](https://feeny.ai/job/vc-partnerships-clay-labs-new-york-cdbmm6w3j5a8) — New York, NY
- [Technical Partnerships Solutions](https://feeny.ai/job/technical-partnerships-solutions-clay-labs-new-york-0nwkxyyf5p6v) — New York, NY
- [Account Executive (GTME - Strategic)](https://feeny.ai/job/account-executive-gtme-strategic-clay-labs-london-9ahf5g013nrp) — London, United Kingdom
- [GTM Engineer Manager - Seller Efficiency](https://feeny.ai/job/gtm-engineer-manager-seller-efficiency-clay-labs-new-york-vyep1se8jjfk) — New York, NY
- [Account Executive (GTME - Top Accounts/Strategic)](https://feeny.ai/job/account-executive-gtme-top-accounts-strategic-clay-labs-san-francisco-1g5zagt7mv97) — San Francisco, CA
- [IT Operations Engineer](https://feeny.ai/job/it-operations-engineer-clay-labs-new-york-7pp5p4m62x5c) — New York, NY
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-clay-labs-new-york-7jvs9kdjhfq4) — New York, NY
- [Data Science & Analytics Manager](https://feeny.ai/job/data-science-analytics-manager-clay-labs-new-york-2rbhz07mxk6c) — New York, NY
- [Account Executive (GTME - New Business)](https://feeny.ai/job/account-executive-gtme-new-business-clay-labs-new-york-ddcad8y0kkjk) — New York, NY
- [Growth, Adoption](https://feeny.ai/job/growth-adoption-clay-labs-san-francisco-rgax5d36358k) — San Francisco, CA