Senior Director Product Management

cyberu•Dublin, CA

2d•$219,200 - $350,700•Hybrid

About The Position

Cornerstone is seeking a Senior Director of Product Management to lead its Skills product line. This senior product leadership role owns the strategy, go-to-market approach, roadmap, and end-to-end performance of Cornerstone Intelligence+ and Skills Products and Platform. The role partners with sales, marketing, implementation, support, customer success, product operations, engineering, data science, content, and design to drive customer and financial success and move capabilities from market insight through discovery, launch, adoption, and revenue. The Senior Director sets the vision and multi-year roadmap for the portfolio; defines how Skills products form a coherent skills and workforce intelligence foundation for Cornerstone Workforce AI and the People Graph; makes investment and prioritization decisions; and champions responsible AI and agentic innovation. The role owns go-to-market strategy and commercial performance, serves as an external representative of the Skills product line, and equips customer-facing teams to position and grow the products. The role also leads and develops Skills product managers, establishes product standards and operating cadences, and drives rigorous discovery, experimentation, measurement, and cross-functional delivery. Success includes revenue growth, strong customer outcomes, predictable delivery, evidence-based decisions, and enterprise-ready capabilities with security, privacy, data governance, and responsible AI built in. The role is hybrid, with a preference for the Dublin, California; Santa Monica, California; or New York office.

Requirements

12 or more years of product management experience, including significant experience leading product managers or product owners, in enterprise software, Agentic AI, or platform organizations.
Track record of owning product vision, strategy, and go-to-market for a multi-product portfolio, with accountability for revenue and growth.
Go-to-market expertise in positioning, packaging, pricing, launch, and sales enablement, with comfort engaging customers, analysts, and executives directly.
Demonstrated people leadership, including hiring, coaching, and developing product and design talent and establishing team standards.
Strong discovery and experimentation skills, including customer research, hypothesis-driven development, metrics definition, and testing.
Ability to lead execution across complex cross-functional organizations with operational rigor and release discipline.
Excellent collaboration and communication skills across engineering, UX, data science, marketing, sales, services, and customer success, including at the executive level.
Experience delivering products in secure, enterprise-grade environments where trust, reliability, and scalability matter, including familiarity with security, privacy, and data governance.

Nice To Haves

Experience with skills taxonomies and ontologies, job architecture, job descriptions, labor market intelligence, or workforce planning solutions.
Experience in HR technology, talent management, or learning domains.
Experience delivering AI-native products, intelligent agents, copilots, or workflow-based AI in enterprise settings.
Experience with data products, labor market data, or analytics and insights products.
Familiarity with regulated, security-conscious, or compliance-driven environments and enterprise governance models for AI and data.

Responsibilities

Own the product vision and multi-year roadmap for Cornerstone Intelligence+ and Skills Products.
Define how Skills products work together as a skills and workforce intelligence foundation for Cornerstone Workforce AI and the People Graph.
Make prioritization decisions and translate strategy into a sequenced roadmap and product investments.
Frame business cases for major investments, including market sizing, opportunity, pricing implications, and expected outcomes.
Champion responsible AI and agentic innovation that creates customer value.
Own go-to-market strategy for the Skills portfolio, including positioning, packaging, pricing input, and competitive differentiation.
Own end-to-end product performance and drive customer and financial success, including bookings, attach, expansion, and retention.
Represent the Skills product line with customers, prospects, analysts, and partners; support strategic deals and executive briefings.
Equip sales, solution consulting, and customer success teams with product narratives, enablement, and proof points.
Monitor the skills intelligence, job architecture, job description, and labor market intelligence markets, translating competitive and partner signals into strategy and roadmap decisions.
Set priorities and desired outcomes for Skills product managers and confirm that delivered work meets customer needs.
Ensure a consistent, high-quality design experience across the product lines served by the design lead.
Establish team standards and operating cadences for discovery, planning, releases, and outcome reviews.
Create alignment across product, engineering, data science, and design leadership and represent the portfolio to executives and customers.
Drive customer discovery with HR, talent, and learning leaders to validate problems and use cases.
Define success metrics, instrument products, and use hypothesis-driven experimentation to learn and reduce risk.
Own portfolio success metrics and North Star measures spanning adoption, data readiness, time-to-value, retention, and revenue.
Translate customer, field, and market feedback into requirements, prioritized backlogs, and release plans.
Drive cross-functional delivery across product, engineering, design, data science, content, customer success, services, and go-to-market teams.
Establish operating cadences for milestone reviews, dependency management, risk tracking, and outcome measurement.
Partner with customer-facing teams on rollout planning, launch enablement, implementation readiness, and feedback loops.
Ensure products are scalable, secure, compliant, and practical for enterprise adoption, meeting expectations for security, privacy, data governance, and responsible AI.