Senior Customer Success Manager

5–8+ years in enterprise implementation, technical account management, solutions consulting, or technical customer success at a B2B SaaS, data, cloud, or AI company.

A track record owning enterprise onboarding end to end — from kickoff through go-live — with named references you're proud of.

Real comfort with data integration mechanics: APIs, ETL/ELT pipelines, cloud warehouses (Snowflake, BigQuery, Redshift), file-based transfer, and troubleshooting a broken feed without escalating on day one.

SQL fluency; Python or scripting is a plus.

Project management discipline — you can hold a multi-workstream plan and a skeptical executive stakeholder at the same time.

Clear written and verbal communication with both engineers and C-level stakeholders.

Experience with marketing and advertising data — CRM, marketing automation, ad platforms, ad servers, DSPs, web and app analytics, or media spend files. Knowing why a media taxonomy is never clean is a genuine advantage here.

Background at a martech, measurement, or analytics vendor, or inside a large advertiser's or agency's data function.

Familiarity with enterprise procurement, security review, and data governance processes.

Startup or high-growth experience where you built the process rather than inherited it.

Experience mentoring or setting standards for other implementation staff.

Implementation methodology: Develop and refine the methodology that drives faster time-to-value across all of our enterprise clients.

Cross-functional leadership: Become a key connector between customer success and product development, with real influence on what gets built.

Process optimization: Design the approaches that streamline implementation and raise customer satisfaction — and own them as we scale.

You get real satisfaction from the moment a hard integration finally runs clean and a customer sees their own data answer a question they couldn't answer before.

You want to build the implementation function, not just work inside one — and you'd rather have the pen than the ticket queue.

You own whether it works: Implementation isn't downstream of the value here — it is the value. Causal results are only as trustworthy as the data foundation you build.

Elite customers, real stakes: You'll onboard Fortune 100 companies making multimillion-dollar marketing decisions, and work directly with the executives who make them.

Build the function: You'll define the implementation methodology at a Series B company that's still writing its playbook, and see your process applied to every customer after yours.

A product worth deploying: Causal AI running on our own NVIDIA DGX SuperPOD, doing something no attribution model has done before — customers are genuinely excited when it goes live.

Series B momentum, real ownership: Meaningful equity at a Series B company that's raised $145M, with proven product-market fit and enterprise traction.

This is implementation, not account management. If you want a renewal number, a QBR calendar, and an expansion quota, this isn't that role.

You want a mature, documented onboarding process to execute against. Ours is partly built, and you'll be finishing it while running live projects.

You'd rather hand data problems to engineering than get into the pipeline yourself. Here you'll be close to the data, often before it's clean.

You want a fully remote role. The in-person time with customers is deliberate.