Skills Strategy Manager (Customer Success)
Confirmed live in the last 24 hours
Workera AI
Job Description
About the role
This role is able to be hired in the following countries: US
Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.
While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.
That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.
We are seeking a Skills Strategy Manager to serve as the strategic partner and program owner for enterprise clients — guiding workforce transformation while driving successful deployment and sustained adoption of Workera’s platform. This role blends skills strategy, AI enablement, and program leadership, helping organizations such as Accenture, Booz Allen Hamilton, Samsung, and the U.S. Air Force accelerate AI-driven workforce transformation. As the primary owner of customer value delivery, you will lead end-to-end enterprise deployments, co-create custom assessments, and translate skills data into executive-ready insights that drive strategic decisions.
WHY THIS ROLE EXISTS
As Workera scales its enterprise customer base, we need a skilled practitioner who can own the full customer value lifecycle — from implementation through renewal — while advising clients on how to apply skills intelligence and AI capabilities to transform their workforce strategy. Initially this role balances hands-on program execution with strategic advisory; as our AI-enabled systems scale, the focus will increasingly shift toward higher-order advisory and executive engagement.
YOUR TEAM
You’ll join our Customer Success organization, working at the intersection of generative AI, enterprise software, and talent transformation. You will collaborate cross-functionally with Sales, Product, Integrations, Support, and Marketing to deliver measurable value to global organizations. This role partners closely with enterprise executives and senior program leaders to drive adoption, impact, and long-term growth.
WHAT YOU’LL OWN
This isn’t a list of tasks. These are the outcomes you’re accountable for:
- Own end-to-end enterprise deployments — ensuring strong implementation, adoption, and measurable business impact from kickoff through renewal
- Serve as the primary strategic advisor to C-suite and senior leaders on skills-first, AI-driven workforce transformation
- Deliver executive-ready insights and QBRs that clearly connect skills data to ROI and workforce outcomes
- Co-create custom assessments and translate skills intelligence into strategic decisions for enterprise clients
- Proactively identify adoption risks using engagement and outcome metrics, and implement targeted interventions
- Contribute to scalable playbooks and AI-enabled delivery models that raise the bar for the entire Customer Success function
HOW YOU’LL RAMP
We don’t expect you to figure it out alone. Here’s what great looks like at each stage:
First 30 Days — Learn the Machine
- Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
- Take ownership of active enterprise accounts and begin leading key workstreams within customer deployments
- Build trusted relationships with primary customer stakeholders
By 90 Days — Ship Something Real
- Own your first meaningful deliverable and demonstrate end-to-end execution
- Deliver initial program milestones on time and with high quality, ensuring strong launch readiness
- Contribute to scalable playbooks and AI-enabled delivery models within Customer Success
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