Marketing Operations – SF

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.

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 Rev Ops 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.

• Own and evolve the marketing technology stack, ensuring tools are integrated, reliable, and used effectively
• Partner closely with Rev Ops 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 Hub Spot 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

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

• CRM and automation tools such as Hub Spot
• 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.

• 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 Rev Ops
• Comfort working with modern, warehouse‑backed data and BI tools
• Strong hands‑on experience with Hub Spot and marketing automation
• Developer tooling or technical B2B experience is a plus

• Experience with ML/data infrastructure or developer products
• Comfort across…