This is a high-ownership leadership role for a strategic, customer-obsessed product leader with strong AI fluency who thrives in a fast-moving startup environment and wants to own both product direction and measurable business outcomes across our AI platform and product suite.

What Youll Own :

Product Vision & Strategy :

- Define, communicate, and drive the company-wide product vision and strategy in alignment with CoreOps.AIs overall business objectives and AI roadmap.

- Translate enterprise customer needs, market trends, and cutting-edge AI capabilities into clear, prioritized product direction.

- Act as the primary product spokesperson in strategic customer and partner discussions.

Product Portfolio Ownership :

- Own full end-to-end accountability for the companys product portfolio, covering vision, roadmap, prioritization, requirements, delivery, quality, and revenue performance.

- Jointly drive measurable business outcomes (revenue, customer adoption, retention, and expansion) while collaborating on cross-functional synergies with Sales, Marketing, Engineering, and Partnership teams.

Go-to-Market Leadership :

- Lead product-led go-to-market strategy for the AI product suite, including positioning, packaging, pricing, and customer value articulation.

- Serve as the escalation point for product requirements and feedback in customer engagements, ensuring strong product-market fit and high win rates.

- Support other product leaders with targeted go-to-market input while retaining overall product strategy and execution ownership.

Cross-Functional Collaboration & Platform Leadership :

- Partner closely with other product leaders and the VP of AI Engineering on overlapping areas (platform capabilities, shared infrastructure, and go-to-market alignment) to eliminate duplication and accelerate delivery.

- Contribute to overall platform leadership by driving product standards, user experience consistency, and reusable components that benefit all AI products.

- Actively support business development initiatives and work hand-in-hand with peers on joint opportunities that span multiple portfolios.

Team Leadership & People Development :

- Provide visible leadership, mentoring, and coaching to the broader product organization, with emphasis on product craft, prioritization frameworks, and career growth.

- Foster a high-performance, customer-obsessed culture; actively contribute to hiring, retention, and team morale across the product function.

- Work constructively with engineering, forward deployment, and other teams on shared initiatives while respecting clear product-level accountability.

Execution & Operational Excellence :

- Drive rigorous product management discipline (discovery, experimentation, metrics, and iteration) to ensure on-time, high-quality delivery of complex AI initiatives.

- Maintain operational rigor (KPIs, reviews, and trade-off decisions) within the owned portfolio and support company-level product governance.

What Success Looks Like :

- Craft and execute a compelling product vision and roadmap that consistently delivers differentiated AI experiences customers love and pay for.

- Build high-velocity product processes that enable engineering teams to ship complex, reliable features with exceptional quality and speed.

- Establish reusable product frameworks, standards, and platform capabilities that materially increase velocity and consistency across the entire AI suite.

- Deliver measurable business impact by deeply understanding enterprise needs and translating them into clear, high-ROI product solutions.

- Attract, develop, and retain top product talent while creating a culture known for customer obsession, strategic clarity, and execution excellence.

Ideal Candidate Qualifications :

- 10+ years of product management experience, with at least 5+ years in senior leadership roles (VP / Head of Product or equivalent) at high-growth SaaS or AI-native companies.

- Proven track record owning and scaling enterprise AI or complex B2B products from 0-1 and 1-n, with direct impact on revenue and customer success.

- Strong technical fluency in AI/ML technologies - able to engage deeply with engineering leaders on AI/ML capabilities, architecture, and trade-offs.

- Deep experience in customer discovery, go-to-market strategy, and driving product-led growth in enterprise environments.

- Demonstrated success building, mentoring, and scaling high-performing product teams while maintaining rigorous prioritization and data-driven decision making.

- Expertise in cloud-native enterprise software, distributed systems concepts, and modern product operations practices.

- Startup mindset with comfort operating in ambiguity, high ownership, rapid iteration, and a relentless focus on measurable business impact.