Overview In this role, you will lead the Customer Success function for AWS Connect Decisions, guiding a team to support AI-driven Demand and Supply Intelligence initiatives. You'll cultivate deep customer partnerships, articulate the value of Decisions, and influence deployments through architecture discussions. You'll shape and share best practices via publications and coordinate across product, engineering, and support to ensure successful outcomes. This position offers impact at scale within a leading cloud+AI organization and a chance to drive transformation in complex supply-chain workloads.
Compensation / Benefits- base salary + sign-on payments and RSUs
- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parental leave
- flexible working culture
Responsibilities- Lead the Customer Success team and be a core member of the Connect Decisions leadership.
- Hire, enable, and develop CS advisors to build a high-performance team.
- Develop trusted advisor relationships with customers for critical workloads and AI transformation.
- Educate customers on the value of Decisions and participate in architectural discussions for successful deployments.
- Contribute to internal and customer-facing publications to scale knowledge.
- Act as liaison between customers, engineering, and support to address needs.
Key requirements- 10+ years of building and leading large teams in matrixed structures
- Knowledge of distribution networks and channel P&Ls
- Bachelor's degree or equivalent
- Experience communicating with multiple stakeholders including C-level executives and cross-functional teams
- Strategic thinking about business, enterprise software products, and new technology platforms/architectures
- Experience negotiating VP-level contracts with channel partners and agencies
- Experience collaborating with cross-functional teams (Marketing, Product, Customer Service, Operations, Legal, Finance, Senior Leadership)
- Strategic thinking
- Relationship-building and stakeholder management
- Executive-level communication
- Enterprise software product knowledge
- Experience with AI/ML-enabled solutions or AI teammate transformations
- Architectural discussions and solution design
