VP, Product

Cordance

About The Position

The Vice President, Product helps raise the quality, speed, and ambition of product development across Cordance’s portfolio. Unlike a traditional single-company VP of Product, this role partners with BU Presidents, Product leaders, and Engineering teams to strengthen product strategy, improve major product decisions, and help businesses build products that drive growth, retention, and long-term value. The work includes executive advisory on significant product decisions, raising product capability across the portfolio, and helping teams apply AI to what they build and how they build it. Success means helping portfolio businesses make better product choices, validate ideas earlier, build faster, and focus product and engineering capacity on opportunities likely to improve customer value and business performance. The VP also helps Presidents and Product leaders become stronger product thinkers and spreads effective product practices across the portfolio. The role calls for significant B2B SaaS product leadership, hands-on AI experience, sound SaaS commercial judgment, technical fluency, and the ability to influence senior leaders and coach Product teams. The position works across multiple businesses and teams rather than owning a single product organization.

Requirements

  • Significant B2B SaaS product leadership experience, including leading products from early concept through launch and scale.
  • Demonstrated success creating and improving products, not simply managing roadmaps or large Product organizations.
  • Hands-on experience applying AI to product development and customer-facing products.
  • Strong understanding of SaaS economics, including adoption, retention, expansion, monetization, and growth.
  • Experience working directly with CEOs, Presidents, or senior business leaders.
  • Experience coaching and developing senior Product leaders and PMs.
  • Technical fluency in SaaS architecture, cloud, APIs, data, platforms, and scalability.
  • Product judgment: ability to identify important customer problems, validate opportunities, and make clear prioritization decisions.
  • Builder mindset: ability to create and improve products rather than simply manage roadmaps or large Product organizations.
  • AI-native thinking focused on where AI changes what gets built and how teams build it, with value over novelty.
  • Commercial fluency connecting product decisions to adoption, retention, expansion, monetization, and ARR growth.
  • Ability to influence without authority and earn credibility with CEOs, Presidents, and Product leaders through expertise and judgment.
  • Leader development capability, including coaching senior Product leaders and PMs.
  • Technical credibility to engage effectively with Engineering while remaining customer- and product-led.
  • Bias for outcomes, valuing judgment, speed, and measurable results over process for its own sake.
  • Final candidate must be able to pass a background check.

Nice To Haves

  • Experience working across multiple products, markets, or businesses.
  • Portfolio, multi-business, or PE-backed operating experience.
  • Vertical SaaS experience.

Responsibilities

  • Partner with BU Presidents and Product leaders to turn customer needs, market opportunities, and business priorities into clear product strategies and roadmaps.
  • Challenge assumptions about product-market fit, differentiation, prioritization, and investment before major decisions are made.
  • Help teams shift from feature roadmaps toward customer-, market-, and outcome-based product decisions.
  • Get directly involved in important product decisions where additional product leadership can materially improve outcomes.
  • Assess major product bets for customer value, market opportunity, differentiation, expected business impact, required investment, and execution feasibility.
  • Help teams determine where to invest, test, accelerate, modernize, or stop.
  • Improve early product validation so teams learn quickly before committing significant engineering capacity.
  • Connect product decisions to measurable results, including adoption, retention, expansion, ARR growth, and customer value.
  • Help teams identify AI-native opportunities and apply AI across discovery, prototyping, validation, development, testing, launch, and ongoing optimization.
  • Help Product and Engineering teams use AI-assisted development to improve speed and time to market.
  • Bring practical fluency in AI-enabled UX, automation, agentic workflows, data, model economics, security, and privacy, and ensure AI investments address real customer and business outcomes.
  • Coach senior Product leaders and PMs to become better product and business leaders.
  • Strengthen discovery, prioritization, MVP definition, roadmap strategy, experimentation, and product measurement.
  • Establish practical product standards and operating rhythms that improve execution without slowing teams down.
  • Identify common capabilities, tools, and patterns that can be leveraged across businesses where appropriate.
  • Introduce current SaaS and AI product thinking while respecting each business’s markets and customer needs.
  • Work closely with Engineering leaders so product strategy and technical decisions reinforce one another.
  • Engage credibly on SaaS architecture, cloud, APIs, data, platforms, AI, and scalability.
  • Help teams evaluate build, buy, partner, and platform choices.
  • Maintain a strong customer and business orientation while working across technical and commercial teams.

Benefits

  • Comprehensive health coverage beginning on the first day of employment.
  • US 401(k) matching: 1:1 for the first 3% of contributions and 0.5:1 for the next 2%; eligible the first of the month after 90 days and immediately vested, with pre-tax and Roth options.
  • Canada RRSP matching: 1:1 for the first 3% of contributions and 0.5:1 for the next 2%; eligible the first of the month after 90 days and immediately vested.
  • Flexible, uncapped paid time off.
  • 12 weeks of paid parental leave for all employees.
  • Monthly remote-work phone and internet stipend of $75 USD or $140 CAD for employees working remotely.
  • Generous holiday schedule.
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