Jobgether

Vice President, Product Management

US · Exec

Sponsorship not specified$215k-$250kDetected 1 day ago

CI/CDComplianceProduct ManagementProduct StrategyRoadmappingSalesCustomer SuccessLeadershipCommunication

About the role

This executive product leadership role is focused on shaping the future of software quality and testing in an AI-driven technology landscape.
The ideal candidate combines strong technical understanding, commercial instincts, and the ability to translate market shifts into winning product strategies.
This is an opportunity to influence the next generation of intelligent software development and quality management solutions.

Drive product architecture and positioning strategies that support modern developer workflows, integrations, APIs, and AI-enabled ecosystems.
Own portfolio-level outcomes including adoption, retention, expansion, and revenue growth.
Partner with go-to-market teams on pricing, packaging, sales enablement, market positioning, and customer engagement strategies.
Optimize product growth across both product-led and sales-led motions while adapting to changing buyer behaviors.
Lead and mentor a team of Product Managers, including managers of product teams, by developing talent, improving execution standards, and fostering accountability.
Collaborate with engineering, UX, customer success, sales, marketing, and strategic partners to ensure market-leading product experiences.
Build and maintain strategic technology partnerships while balancing integration opportunities and competitive differentiation.

The ideal candidate is an experienced product executive with a strong background in enterprise SaaS, developer tools, and AI-driven product innovation.
10+ years of product management experience, including significant leadership experience managing product teams in SaaS or enterprise technology environments.
Demonstrated ability to define and execute product strategies that directly influence revenue growth and business outcomes.
Strong understanding of AI-native product architecture and the difference between AI-enabled features and fundamentally AI-driven workflows.
Experience partnering directly with sales and marketing teams to influence pricing, packaging, positioning, and go-to-market execution.
Experience operating in platform-dependent environments with complex integrations and ecosystem partnerships.
Ability to make strategic decisions while balancing customer needs, technical constraints, and business priorities.
Strong analytical, communication, and storytelling skills with the ability to translate complex concepts into clear business strategies.
Experience working in high-growth, financially disciplined environments where outcomes and measurable impact are prioritized.

Potential eligibility for performance-based bonuses and equity opportunities.
Comprehensive benefits package designed to support employee health, well-being, and work-life balance.
Opportunity to work on innovative products shaping the future of software development and quality assurance.
Flexible time off policies and initiatives supporting personal well-being.
Establish a clear vision for how intelligent and agent-based workflows will reshape software testing, product discovery, and purchasing decisions.
Represent the product vision externally with customers, partners, analysts, and industry stakeholders.
Flexible remote work environment with opportunities to collaborate across global teams.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Professional growth opportunities through leadership development and career advancement programs.

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.