Chief Product Officer
We’re seeking a Chief Product Officer who brings creativity, entrepreneurial drive, and extreme ownership to the product. This leader will define how the product looks, feels, and behaves for clients and users, because an exceptional user experience is central to how we win. The CPO will own the product vision and roadmap, prove strategies through pilots and real-world evidence before scaling them, and work hand in hand with the technology team to ship high-quality product with predictability. They will also lead how we use AI, both inside the product and across our workflows, to work smarter, move faster, and deliver more value to customers.
Location: US, Remote, Open to travel
Type: Full-Time
Reports to: CEO / COO
Key Responsibilities
Product Vision & Experience (Look, Feel & UX)
- Own how the product looks, feels, and flows; visual design, interaction, and usability are core to this role, not a hand-off.
- Set the bar for “great”: clean, intuitive, consistent, and on-brand across every screen, device, and user type.
- Build a design system and UX standards; personally review key flows and edge cases before release.
- Use usability testing, analytics, and user interviews to remove friction and lift adoption and satisfaction.
Product Strategy & Roadmap
- Turn a clear product vision into a roadmap that balances innovation, usability, and scalability.
- Prioritize transparently by customer value, adoption, differentiation, effort, and risk, and explain the “why” to leadership, sales, and clients.
- Keep the roadmap living: adjust as evidence comes in without losing momentum.
Proving Strategy
- Treat major bets as hypotheses with success metrics defined up front.
- Run pilots, prototypes, MVPs, and A/B tests to validate demand, usability, and pricing before scaling.
- Report results honestly, kill what isn’t working, and turn wins into proof points for sales and marketing.
Partnership with Engineering
- Partner with the CTO and engineering to jointly own scope, delivery, and quality.
- Write clear, well-scoped requirements and acceptance criteria engineers can build against.
- Understand architecture and trade-offs well enough to make smart scope, build-vs-buy, and sequencing calls, balancing new features against technical debt, security, and performance.
AI Strategy & Efficiency
- Bring AI into the team’s workflow (research synthesis, feedback analysis, specs, prototyping, design, QA, documentation) to work faster without lowering quality.
- Partner with engineering on AI-assisted development and testing to shorten cycle time.
- Evaluate AI-powered customer features with guardrails for accuracy, privacy, and security; measure the gains and scale what works.
Customer & Market Immersion
- Spend significant time with clients and users observing real-world usage.
- Identify unmet needs, trends, whitespace, and competitive gaps to sharpen positioning.
Go-to-Market & Pricing
- Shape pricing, packaging, licensing, and tiering that reflect customer value.
- Partner with sales on demos and pilots, and with marketing on messaging, launches, and the right conferences and channels.
Leadership & Accountability
- Build and lead the product function (product management, UX/UI design, research); hire, coach, and grow talent.
- Bring in outside experts when needed; hold extreme ownership of product quality, performance, and user satisfaction.
Ideal Candidate
- Experience-Obsessed: Has a sharp eye for design and pays close attention to the look, feel, and flow of the product, ensuring a seamless user experience.
- Entrepreneurial & Creative: Thinks like an owner, bringing creativity, initiative, and a strong sense of responsibility to building and evolving the product.
- User-Obsessed: Thrives in customer conversations and uses real-world feedback and behavior to understand needs and shape solutions.
- Evidence-Driven Strategist: Validates ideas through pilots, data, and experimentation, turning insights and market trends into clear product direction.
- Technically Fluent: Understands architecture, APIs, and technical trade-offs, and collaborates effectively with engineering teams.
- AI-Forward: Actively uses AI to improve productivity, streamline workflows, and deliver meaningful value to customers.
- Collaborative & Accountable: Builds strong relationships across engineering, design, sales, and leadership, taking ownership of outcomes from start to finish.
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