Senior Customer Success Manager (AI)

Location: Chicago, Illinois — hybrid, with regular onsite time at customer sites in the Chicago area

Salary: $170,000–$190,000 annual base salary, plus equity and bonus

Company

A causal AI platform company helping Fortune 100 enterprises use causal evidence to make marketing and growth decisions.

What you will do

• Lead end-to-end implementation and onboarding projects for enterprise B2B SaaS customers, from kickoff through go-live.
• Build implementation plans, timelines, resourcing models, and documentation to keep projects on schedule.
• Ensure data integrations meet customer requirements and troubleshoot broken feeds, APIs, ETL/ELT pipelines, warehouses, and file transfers.
• Coordinate customer success, engineering, product management, and executive stakeholders.
• Develop repeatable implementation processes and methodology to reduce time-to-value as the company scales.
• Monitor implementation KPIs, run customer check-ins, remove roadblocks, and manage handoffs to ongoing customer success.

Requirements

• 5–8+ years of experience in enterprise implementation, technical account management, solutions consulting, or technical customer success at a B2B SaaS, data, cloud, or AI company.
• End-to-end enterprise onboarding experience, from kickoff through go-live.
• Practical experience with APIs, ETL/ELT pipelines, Snowflake, BigQuery, Redshift, file-based transfers, and data troubleshooting.
• Fluency in SQL; Python or scripting experience is beneficial.
• Strong project management, written communication, and verbal communication skills with engineers and C-level stakeholders.
• Ability to work in a hybrid setup in Chicago and attend customer sites in the Chicago area.

Nice to have

• Experience with marketing and advertising data, CRM, marketing automation, ad platforms, ad servers, DSPs, web or app analytics, or media spend files.
• Background at a martech, measurement, or analytics vendor, or in an advertiser or agency data function.
• Experience with enterprise procurement, security review, and data governance.
• Startup or high-growth experience building implementation processes.
• Experience mentoring implementation staff or setting implementation standards.

Culture & Benefits

• Meaningful equity and bonus opportunity at a Series B company backed by $145M in funding.
• Work with Fortune 100 customers making multimillion-dollar marketing decisions.
• Define the implementation methodology and build the implementation function while delivering live customer projects.
• Deploy a causal AI platform running on an NVIDIA DGX SuperPOD with Grace Blackwell infrastructure.
• Customer-facing work includes in-person kickoffs, data workshops, and go-live activities.