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 EXISTSAs 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 TEAMYou’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 OWNThis 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
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
By 6 Months — Multiply Your Impact
- Operate with full autonomy in your domain; your team relies on your judgment
- Have built or deployed at least one AI-assisted workflow that the team adopts
- Fully own the lifecycle of multiple enterprise deployments (implementation, launch, adoption, renewal support)
- Proactively identify adoption risks and implement targeted interventions
- Partner with Sales to support expansion conversations within existing accounts
- Influence product roadmap through structured customer feedback and advocacy
- Demonstrate measurable customer impact, including strong adoption, retention, and expansion outcomes
We’re a fast-moving company — the scope and shape of this role will evolve as we do.
WHAT YOU BRINGWe’re looking for signal, not checkboxes. Here’s what matters most:
- 6+ years in enterprise SaaS or technology-enabled environments, including experience in program leadership, human capital transformation, assessments, management consulting, or strategic customer-facing roles
- Demonstrated experience leading complex enterprise deployments, driving adoption, and managing cross-functional execution in ambiguous environments
- Proven project management skills — coordinating cross-functional teams, managing complex projects, and driving structured execution that ensures customer value realization
- Experience in strategic Customer Success or Account Management
- Strong data-driven communication skills with the ability to influence executives
- Resilience, grit, and adaptability — you operate confidently through ambiguity and challenging customer situations
- Strong systems thinking — ability to understand how your work connects to a broader AI-driven platform and enterprise customers
- Demonstrated ability to leverage AI tools (e.g., ChatGPT or equivalent) to improve productivity, insight generation, or decision-making
Preferred:
- Background in I/O Psychology with client-facing experience
- Experience working in fast-paced, high-growth environments
- Proven success managing large, complex enterprise accounts (ACV $100K+)
- Familiarity with workforce analytics, predictive modeling, or AI-driven decision support
At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:
- Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
- Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
- Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.
AI fluency is a cultural expectation, not a line item on a job description.
About Workera
We're a Silicon Valley company backed by NEA, Jump Capital, and Owl Ventures. Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people. Our Chairman is Dr. Andrew Ng, co-founder of Coursera, CEO of DeepLearning.AI, and founding lead of the Google Brain project.
Our clients include Accenture, Siemens Energy, Samsung, and the United States Air Force.
Named to Fast Company's Most Innovative Companies list alongside Microsoft and Canva. Recognized by the World Economic Forum's Tech Pioneers, Inc 5000, and Josh Bersin's HR Tech AI Trailblazers. In a world where every company claims to 'do AI', at Workera, it's actually in our DNA.
We're learners, builders, and dreamers. Join us.
Workera is committed to providing an inclusive and respectful environment where equal employment opportunities are available to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. Hiring decisions are based on qualifications, merit, mindset, and business need.
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