Senior Customer Success Manager at Alembic in Chicago, IL
- Company: Alembic
- Location: Chicago
- Job type: full time
- Workplace: remote
- Posted: 2026-09-16
Job description
Location: Chicago, IL — Hybrid, with regular onsite time at customer sites in the Chicago area About Alembic Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes, a question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence. We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure, one of the fastest private supercomputers in the world. About the Role We're hiring a Senior Customer Success Manager in Chicago to own and grow one of our most strategic enterprise partnerships. Alembic started inside this customer's marketing organization. Your job is to take it further: build close working relationships with the CMO and the marketing leadership team, then help expand Alembic into new business units, functions, and use cases until it becomes an enterprise-wide decision tool. This is a relationship and growth role. You'll be the day-to-day strategic lead for Alembic inside the account, a trusted partner to senior leaders who want to work closely with you, and the person who makes sure Alembic's impact is visible and credited across the organization. You won't be doing this alone. You'll be paired with an Alembic Field Scientist, a forward-deployed data expert who owns the technical side: running models, validating and cleaning data, and building analyses. You own the relationship, the strategy, and the story. Together you make sure every insight lands with the right people. The seat is in Chicago because the customer is here. Executive meetings, business reviews, and new stakeholder introductions go materially better in person, and you'll be close enough to do them that way. What You'll Do • Build strong working relationships with the marketing organization, the CMO and their direct reports, and teams across every level of the marketing team. • Build and run an account plan that maps business units, decision makers, and priorities beyond marketing. • Identify and develop opportunities to bring Alembic into new verticals and functions such as finance, product, operations, and strategy, partnering with Sales on commercial conversations. • Keep Alembic visible. Make sure wins are quantified, credited, and shared internally by the customer, and turn successes into case studies, executive readouts, and internal champions. • Lead executive business reviews that connect Alembic's causal insights to the customer's revenue, efficiency, and strategic goals. • Partner with your Field Scientist to translate technical findings into clear, decision-ready recommendations for senior leaders. • Stay ahead of risk. Read organizational changes, budget shifts, and competitive pressure early and act before they become problems. • Be the customer's voice inside Alembic. Bring their priorities to Product and Engineering and help shape the roadmap toward enterprise use cases. • Coordinate Alembic's internal teams (Sales, Product, Data Science, Field Science) so the customer sees one aligned partner. What Will Help You Succeed Core Skills • 7 to 10+ years in strategic account management, enterprise customer success, or consulting at a B2B SaaS, data, analytics, or AI company. • A track record of growing an enterprise relationship across business units, with named references you're proud of. • Experience working directly with senior executives. You're prepared, credible, and comfortable offering a point of view. • Strong business judgment. You can spot where Alembic can help, frame the value, and bring the right people together to act on it. • Enough analytical fluency to explain causal AI, measurement, and data concepts clearly
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