Posted at: 30 August
Skills Strategy Manager (Customer Success)
Company
Workera AI
Workera AI is an AI-powered skills intelligence platform headquartered in the US, specializing in B2B solutions for enterprise clients across various industries, with a focus on optimizing workforce capabilities.
Remote Hiring Policy:
Workera supports remote work for certain roles, primarily hiring from the EU and the US, with team members located in various countries within these regions. Working hours are flexible, but candidates are expected to be online during their working day hours.
Job Type
Full-time
Allowed Applicant Locations
Netherlands, United States, Canada, United Kingdom, Spain, Portugal
Job Description
About the Role
This role is able to be hired in the following countries: US, Canada, UK, Spain, Netherlands, or Portugal
We are looking for a Senior Customer Success Manager to serve as the strategic advisor and primary point of contact for our enterprise clients.. This role combines skills strategy, AI enablement, and program leadership — helping organizations such as Accenture, Booz Allen Hamilton, Samsung, and the US Air Force accelerate their workforce transformation in the age of AI.
As the primary owner for customer value delivery, you will orchestrate end-to-end deployments — from onboarding to sustained adoption — while serving as the expert to clients on how to apply Workera’s skills intelligence and AI capabilities to achieve measurable business impact. You’ll advise on talent strategy, co-create custom assessments, and turn skills data into actionable insights that shape strategic decisions.
If you have a background in management consulting, industrial-organizational psychology, talent strategy, or human capital transformation — and you’re fluent in leveraging AI to drive outcomes — this role is for you.
What You’ll Do
Advisory & AI-Enabled Program Design
- Act as a Skills Strategist for enterprise (Fortune 500) customers, advising executives on workforce transformation, AI readiness, and skills-first talent models.
- Leverage AI capabilities within Workera to co-design custom skills assessments, learning pathways, and transformation programs that align to relevant business priorities (org-wide, AI & Data, or group specific - Sales, HR, Finance)
- Provide data-driven, AI-powered recommendations that connect skills insights to tangible business outcomes (e.g., productivity, agility, reskilling speed).
Deployment Leadership
- Own the full lifecycle of customer value delivery — implementation, launch, adoption, and renewal/expansion.
- Lead cross-functional internal (ex: Integrations, Support, Product, Marketing) and client teams to ensure on-time, high-impact deployments.
- Track and analyze deployment success through engagement, satisfaction, adoption, and outcome metrics — using data to inform interventions and program optimization.
- Drive sustained engagement through targeted interventions, change management strategies, and program optimization.
Executive Engagement & Growth
- Build and maintain trusted relationships with C-suite and senior program leaders.
- Deliver strategic updates and quarterly business reviews that inspire action and reinforce the value of Workera’s AI-powered platform — including transparent reporting on adoption, engagement, satisfaction, and ROI.
- Partner with Sales to identify expansion opportunities and position new capabilities.
Internal Leadership
- Serve as a customer advocate to influence product innovation and roadmap.
- Contribute to internal playbooks, best practices, and scalable delivery models.
- Mentor peers on consultative and AI-enabled success practices.
What You’ll Bring
- 6+ years in Management Consulting, Human Capital Transformation, or related advisory roles.
- Proven project management skills — coordinating cross-functional teams, managing complex projects, and driving structured execution that ensures customer value realization.
- Strong data-driven, communication skills with the ability to influence executives.
- Native or fluent English speaker.
- Growth mindset with a passion for continuous learning and experimenting with AI tools.
- Resilience, grit and adaptability - operate confidently through ambiguity and challenging customer situations.
- Ability to travel up to 30% of the time.
Preferred
- Background in I/O Psychology with client-facing experience
- Experience working in face-paced, high-growth environments.
- Experience in Strategic Customer Success, Account Management,
- Proven success managing large, complex enterprise accounts (ACV $100K+)
- Familiarity with workforce analytics, predictive modeling, or AI-driven decision support.
About Workera
Workera is a fast-growing, Series B Silicon Valley start-up redefining how enterprises understand, develop, and mobilize talent. Workera’s skills intelligence platform empowers leaders to make better, more informed talent development decisions. Utilizing computational psychometrics, machine learning, and AI technologies, Workera delivers best-in-class computer adaptive assessments with hyper-personalized learning plans to global companies across all industries. Our clients include Samsung, Siemens Energy, and the US Air Force.
Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people, and our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.
We’re learners, dreamers, and game-changers. Join us.
At Workera, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Workera believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the best and most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.