Marketing Operations

New York , United States

AI overview

Own the marketing technology stack and lead the operational and analytical backbone of demand generation at a rapidly growing machine learning platform.

About Chalk

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.

About the Role

We’re looking for Marketing Operations to own the marketing technology stack and run the operational and analytical backbone of our demand generation engine. This is a marketing-first role focused on how we measure, optimize, and scale growth across automated marketing, SDR-led outbound, and account-based motions.

You’ll own attribution models, efficiency metrics, and the dashboards that tell the story of what’s working. You’ll partner closely with RevOps to ensure consistency across marketing, sales, and revenue reporting. SDRs sit within marketing, and this role ensures strong alignment between SDR execution, marketing automation, and signal-based prioritization.

We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.

What you will do

  • Own and evolve the marketing technology stack, ensuring tools are integrated, reliable, and used effectively
  • Partner closely with RevOps to align attribution models, definitions, reporting, and pipeline math across the funnel
  • Own end-to-end marketing and SDR reporting, including attribution models, efficiency metrics, and pipeline impact
  • Design, implement, and maintain multi-touch attribution frameworks leadership can trust
  • Build and own dashboards that clearly communicate performance, tradeoffs, ROI, and efficiency
  • Partner with demand gen and SDR teams to operationalize intent, behavioral, product, and third-party signals
  • Ensure SDRs are focused on the right accounts with the right context at the right time
  • Own HubSpot execution, including email automation, workflows, lifecycle stages, scoring, and routing
  • Design and evolve lead and account scoring models to support ABM and outbound prioritization
  • Own marketing budget tracking and performance analysis across channels
  • Measure and communicate unit economics, including CAC, cost per opportunity, cost per meeting, and pipeline efficiency
  • Support AI-native and signal-based tooling to automate campaign execution, prioritization, and reporting
  • Own marketing reporting across paid, web, SEO/SEM, organic social, community, events, and lifecycle channels
  • Maintain clean data, taxonomy, and tooling to support fast, reliable execution

Tooling & Stack

You’ll be comfortable working across a modern, AI-native marketing and data stack, including:

  • CRM and automation tools such as HubSpot
  • Data warehouses and BI tools for reporting and analysis
  • Signal, intent, and orchestration tools (e.g. Unify or similar)
  • SDR and outbound tooling (e.g. Sales Navigator and related platforms)
  • Paid media platforms and campaign reporting
  • Web analytics, SEO, Sanity CMS and SEM tooling
  • Organic social, community platforms, and social listening tools
  • Digital event platforms and webinar tooling
  • Gifting and direct mail platforms

Experience evaluating, integrating, and automating across these tools matters more than experience with any single vendor.

Who You Are

  • 4+ years of experience in marketing operations, revenue operations, sales operations, or demand generation
  • Hands-on experience working with multi-touch attribution models and efficiency metrics
  • Fluent in pipeline math, funnel conversion analysis, and unit economics
  • Comfortable working with and analyzing marketing budgets and spend efficiency
  • Strong familiarity with AI-native and signal-based marketing and GTM tooling
  • Proven ability to partner closely with SDR teams and RevOps
  • Comfort working with modern, warehouse-backed data and BI tools
  • Strong hands-on experience with HubSpot and marketing automation
  • Developer tooling or technical B2B experience is a plus

Bonus Points

  • Experience with ML/data infrastructure or developer products
  • Comfort across sales-led and product-led motions

Benefits

⚕️Comprehensive medical, dental, and vision insurance

🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)

🦮 Expert Healthcare Guidance

💵 Retirement savings

🎄15 company holidays each year

🏖️15 days of personal time off each year

🚌 Flex Commuter Benefits

🌮 Daily lunch and dinner on Chalk

🥤Office is fully-stocked with drinks and snacks to fuel your work day.

🍽️ Staying late? Dinner is on us

🚖 Staying even later? Grab an Uber / Lyft home on Chalk

Compensation

Range: Salary + Equity based on experience 

Actual compensation awarded to successful candidates will be based on several factors, including individual qualifications objectively assessed during the interview process.

Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk’s growth and us achieving our goals.

Chalk offers early team member equity and competitive benefits package in addition to the cash compensation.

Inclusivity

Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

Perks & Benefits Extracted with AI

  • Health Insurance: Comprehensive medical, dental, and vision insurance
  • Uber/Lyft reimbursement for late work: Staying even later? Grab an Uber / Lyft home on Chalk

Meet Chalk Chalk is building machine learning infrastructure to answer the world’s hardest questions. Our platform is built to power credit, risk, insurance, medical, and recommendation decisions for the world’s most innovative companies. Answering these complex questions requires sourcing data from a wide range of providers and rapidly iterating on feature definitions. Chalk makes it easy for machine learning teams to build high-performance pipelines that deliver data to models at the right time. We orchestrate infrastructure and automatically track data lineage so developers can work confidently and focus on their unique products and insights. Meet Our Founders Elliot started his career at Affirm where he built the early risk and credit data infrastructure system (the inspiration for Chalk). He then started Haven Money (with Andy) which Credit Karma acquired to power its banking products. Andy met Elliot at Stanford admit weekend – Elliot was his room host and they’ve been best friends ever since. After school, Andy worked at Palantir on large government data infrastructure projects. He then founded Haven Money (with Elliot) which now powers Credit Karma Money. Marc spent many years at Google where he helped to launch the first version of Google Wallet. He went on to start Index which Stripe acquired as its in-store payment solution – it’s now called Stripe Terminal.

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