# Jobgether — Vice President, Product - Generated: 2026-09-16 08:35:36 AM EDT - Original/canonical posting: https://www.linkedin.com/jobs/view/4466840316/ - Provider: LinkedIn - Posted: approximately 2026-09-16 05:35 AM EDT (from '3 hours ago') - Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available - Applicants: Be among the first 25 applicants - Work model/location: Remote-first — United States; end employer is unidentified - Compensation: $225,000-$275,000 plus bonus and equity - Travel: Not disclosed - Positioning track: Executive leader - Fit outcome: FAIL — 58% ## Direct-match strengths AI product/platform leadership, engineering credibility, roadmaps, customer discovery, prototypes, data, architecture, team leadership, and hands-on 0-to-1 delivery. ## Hard or material gaps Hard central-scope gaps: the role requires deep Jobs to Be Done expertise, scaled consumer web/mobile product ownership, advertising and revenue-product leadership, and a sustained Product-management career. Keith documents four years of explicit Product Management and stronger enterprise AI/engineering leadership than consumer digital-media product depth. ## Evidence map 1. Executive product strategy and roadmap ownership (weight 3, evidence 2/3) — Direct platform/product strategy exists; career is primarily engineering and AI leadership. 2. Jobs to Be Done expertise (weight 3, evidence 0/3) — Not source-supported. 3. Scaled consumer web and mobile products (weight 3, evidence 1/3) — Enterprise SaaS and connected products are direct; scaled consumer web/mobile ownership is limited. 4. Advertising and revenue products (weight 3, evidence 0/3) — No direct advertising-product ownership. 5. Practical AI product innovation (weight 3, evidence 3/3) — Built and commercialized a production AI product platform. 6. Lead Product and Engineering (weight 3, evidence 2/3) — Led engineering and product responsibilities, but not a mature Product organization at this scale. 7. Customer discovery, experimentation, and measurable outcomes (weight 2, evidence 3/3) — Direct customer discovery, pilots, product management, and measured delivery. 8. Modern digital technology credibility (weight 2, evidence 2/3) — Strong Python/AWS/data/AI depth; requested JavaScript/TypeScript/React/Node stack is unsupported. ## Keyword diagnostic Strong AI, engineering, roadmap, customer-discovery, and delivery overlap; insufficient direct JTBD, consumer web/mobile, advertising, revenue-product, and long-tenure Product-function evidence. ## Full normalized job description This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Vice President, Product based in United States. This is a hands-on executive product leadership role with responsibility for product strategy, innovation, and execution across a broad digital portfolio. You will lead Product and Engineering while shaping a roadmap grounded in customer needs, business priorities, and measurable outcomes. A major focus will be expanding the practical use of AI across products, customer experiences, and internal workflows. You will guide the evolution of web and mobile experiences, digital products, and advertising solutions in close partnership with commercial teams. The role calls for a technically fluent leader who stays close to customers, data, prototypes, and delivery rather than operating solely at a strategic level. You will also develop high-performing teams, improve decision-making, and create strong alignment across product and engineering. This remote-first opportunity offers significant influence over product direction in a mission-driven digital environment serving millions of users. Accountabilities Lead AI innovation: Drive the development and adoption of AI-powered products for users, customers, and internal teams, identifying opportunities to improve experiences, workflows, and business performance. Own product strategy and roadmap: Translate company objectives and customer needs into a focused product strategy, defining priorities, sequencing, measurable outcomes, and trade-offs. Drive customer-centered product development: Establish and advance a pragmatic Jobs to Be Done approach using customer evidence, prototyping, validation, experimentation, and post-launch learning. Lead the digital product portfolio: Guide the evolution of core web and mobile experiences, email, publishing capabilities, user-generated content, payments, data, search, and other shared platform capabilities. Partner on revenue products: Work closely with commercial leadership to develop advertising and other customer-facing products that address genuine market needs and contribute to measurable growth. Lead Product and Engineering: Create strong operating alignment between the two functions, improve decision quality and execution, develop talent, and foster a culture of accountability, curiosity, and collaboration. Stay close to execution: Engage directly with customers, inspect data, prototype solutions, evaluate technical trade-offs, and work with teams to ensure product decisions translate into meaningful outcomes. Build organizational capability: Develop strong product and engineering leaders, establish effective ways of working, and create an environment where teams can perform at a high level. Optimize for business impact: Prioritize investments based on customer value, company objectives, technical feasibility, and evidence, while being prepared to change direction when new information warrants it. Requirements Product leadership experience: Demonstrated success building, launching, and scaling digital products with measurable business impact, rather than focusing solely on roadmap delivery. Technical credibility: Experience as an engineer and/or engineering leader, with the ability to engage meaningfully in discussions around architecture, data, feasibility, technology, and trade-offs. Jobs to Be Done expertise: Strong knowledge of Jobs to Be Done product development and the judgment to apply the methodology pragmatically without introducing unnecessary process. Digital product experience: Experience with scaled digital products is important; experience serving small and midsize businesses, marketplaces, subscriptions, local commerce, audience products, or programmatic advertising is particularly valuable. AI product experience: Ability to identify and lead practical applications of AI across customer-facing products and organizational workflows. Strategic prioritization: Exceptional ability to focus resources on the highest-impact opportunities, make difficult trade-offs, and adjust priorities based on evidence. Hands-on leadership style: Comfortable engaging directly with customers, data, prototypes, product details, and technical teams rather than delegating core product thinking. People leadership: Proven ability to develop talent, build strong teams, create followership, and lead with curiosity, candor, self-awareness, and low ego. Communication and collaboration: Strong ability to align product, engineering, revenue, and other stakeholders around shared objectives and clear decisions. Technical environment: Familiarity with modern digital technology environments is expected. Relevant exposure includes JavaScript/TypeScript, React, Next.js, Node.js, Drupal/PHP, AWS, GCP/BigQuery, Stripe, authentication platforms, search technologies, GitHub/Jira, and modern AI tools. Remote leadership: Ability to operate effectively in a remote-first organization spanning multiple countries and time zones. Benefits Base salary of $225,000–$275,000 USD annually, with actual compensation based on skills, experience, and other job-related factors. Performance-based discretionary bonus eligibility. Equity participation. Competitive medical, dental, and vision coverage. Ancillary benefits. 401(k) plan. Unlimited discretionary time off (DTO). 10 paid holidays per year. Paid parental leave. Remote-first working environment with distributed teams across countries and time zones. Opportunity to shape AI innovation and product strategy across a large-scale digital platform. How Jobgether Works 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? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. ## Artifact metadata - Resume: Not generated because the fit gate returned FAIL. - Cover letter: Not generated because the fit gate returned FAIL. - LinkedIn note: Not generated for a FAIL role. - Google Drive used: No