Product Manager
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- Stated location
- United States
- Listing updated on our site
- 14 Nov 2026, 10:01 EAT
- Mentions "eat"
- Mentions "flexible hours"
- Timezone range utc-10 to utc+14 overlaps EAT (UTC+3)
- Location names another country; Kenya eligibility is not established.
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| Employer | Verified Direct Employer (Protected) |
|---|---|
| Location | United States |
| Remote type | Full Time |
| Salary | USD120000 - USD200000 (annual) |
| Posted | 1h ago |
| Application Status | Pro Membership & Free Pass Access |
About this role (Direct Employer Details Protected)
About Us
Since 1989, [Employer] International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on [Employer]’s concierge approach to help them solve what’s next. But the heartbeat of [Employer] is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
- Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
- Continuous professional growth and leadership opportunities.
- Health, wellness, and financial benefits to offer peace of mind to you and your family.
- World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
Role Description
- Own product outcomes. Define customer and business problems, target outcomes, measures of success, and product strategy. Maintain an outcome-based roadmap that connects customer value, [Employer] priorities, and realistic delivery choices.
- Practice AI-first product management. Use AI as a foundational part of research, synthesis, ideation, analysis, prototyping, communication, and execution. Identify opportunities to automate repetitive work and improve the quality, speed, efficiency, and creativity of product work.
- Create clarity in ambiguity. Frame loosely defined opportunities, identify key assumptions, gather evidence, make informed tradeoffs, and establish a practical path forward without waiting for every detail to be prescribed.
- Build deep customer understanding. Engage frequently with customers and prospects through interviews, observation, workflow analysis, concept testing, prototype validation, pilots, and beta programs. Translate findings into clear product opportunities and decisions.
- Lead continuous discovery. Apply human-centered design, Jobs to Be Done, journey mapping, opportunity-solution mapping, hypothesis-driven development, experimentation, and other modern product practices to identify problems and solutions worthy of investment.
- Create and test prototypes. Produce wireframes, mockups, interactive prototypes, AI-assisted prototypes, and lightweight front-end experiences to clarify ideas, validate assumptions, gather feedback, and reduce risk before full engineering investment.
- Develop product strategy and roadmaps. Connect customer problems, [Employer] strategy, market opportunities, technology capabilities, and operational realities into an opinionated product direction. Make explicit choices about what to pursue, what not to pursue, and why.
- Think in systems. Understand how customer experience, data, AI, workflows, technology, operations, sales, service, and commercial processes interact. Design solutions that improve the complete customer journey rather than isolated features.
- Partner with engineering and design. Collaborate on solution options, technical constraints, sequencing, scope, usability, and quality. Translate validated learning into clear requirements, acceptance criteria, priorities, and decisions that enable effective delivery.
- Measure product value. Define meaningful customer behaviors, leading indicators, and business outcomes before building. Partner on product instrumentation and use quantitative and qualitative evidence to iterate, scale, reposition, or stop work.
- Lead across [Employer]. Influence engineering, design, data, sales, marketing, operations, support, security, legal, and subject-matter experts. Build shared understanding, make tradeoffs visible, resolve ambiguity, and align teams around customer outcomes.
- Bring [Employer] expertise into the experience. Develop strong relationships with internal experts and translate [Employer] knowledge, services, capabilities, and operational realities into credible digital experiences that are valuable to customers and difficult for competitors to replicate.
- Support adoption and go-to-market activities. Partner with sales, marketing, and other go-to-market teams on positioning, launches, enablement, demonstrations, customer adoption, and feedback loops. Treat launch as the beginning of product learning, not the end of delivery.
- Communicate with clarity and conviction. Use concise narratives, customer evidence, prototypes, demonstrations, and data to explain the vision, decisions, progress, risks, and recommended next steps to technical teams, executives, sellers, customers, and partners.
Behaviors and Competencies
- Customer Obsession: Seeks direct customer evidence, understands the context behind requests, and advocates for experiences that solve meaningful customer problems.
- Entrepreneurial Mindset: Identifies opportunities, takes initiative, tests ideas quickly, and brings together the people and information required to make progress without waiting for perfect conditions.
- AI-First Mindset: Treats AI as an everyday working capability and continually improves how it is used to produce better thinking, faster learning, stronger deliverables, and more efficient workflows.
- Systems Thinking: Connects the end-to-end customer journey with the underlying technology, data, workflows, operations, incentives, and downstream consequences.
- Strategic Thinking and Prioritization: Connects customer problems, [Employer] strategy, market dynamics, and technology capabilities into a clear direction. Makes explicit tradeoffs and focuses effort on the highest-value opportunities.
- Evidence-Led Decision-Making: Combines customer insight, data, expertise, and judgment; makes informed decisions with incomplete information; and adapts when evidence changes.
- Business Acumen: Understands how customer value, revenue, cost, risk, adoption, operations, and competitive differentiation influence product choices.
- Technical Fluency: Partners effectively with engineering and can discuss APIs, data, system behavior, AI capabilities, integrations, technical constraints, and front-end experiences without needing to be a software engineer.
- Cross-Functional Leadership: Creates alignment and momentum across teams without relying on formal authority. Clarifies ownership, decisions, tradeoffs, and next steps.
- Communication and Storytelling: Explains complex ideas clearly and adapts the message, supporting evidence, format, and level of detail for customers, executives, commercial teams, designers, engineers, and other audiences.
- Execution and Follow-Through: Balances competing priorities, removes obstacles, maintains focus on outcomes, and follows work through from problem identification to measurable results.
- Curiosity and Learning Agility: Actively seeks feedback, challenges assumptions, develops new capabilities, and rapidly applies learning to unfamiliar customer, business, and technical problems.
Skill Level Requirements
- Demonstrated ability to own customer and business problems from discovery through delivery, adoption, measurement, and iteration.
- Working knowledge of modern product-management practices, including Jobs to Be Done, continuous discovery, human-centered design, opportunity-solution mapping, hypothesis-driven development, outcome-based roadmapping, experimentation, and Agile delivery.
- Experience engaging directly with customers or users through interviews, observation, workflow analysis, usability testing, pilots, beta programs, or other research and validation methods.
- Ability to create wireframes, mockups, interactive prototypes, or lightweight front-end experiences. Experience with AI-assisted prototyping, low-code/no-code tools, HTML, CSS, or JavaScript is helpful but not required.
- Ability to define meaningful success measures, identify important customer behaviors and signals, interpret qualitative and quantitative evidence, and make clear recommendations based on findings.
- Ability to develop product strategy, create and maintain outcome-based roadmaps, prioritize opportunities, write clear requirements and acceptance criteria, and make explicit scope and sequencing tradeoffs.
- Comfort using AI assistants and automation tools to support research, synthesis, ideation, analysis, prototyping, communication, and workflow improvement.
- Ability to use modern product, design, analytics, delivery, and collaboration tools such as Jira, Airtable, PowerBI, Github, Lucid, Archbee, documentation platforms, analytics tools, and roadmap or portfolio-management tools.
- Ability to communicate and collaborate effectively with customers, executives, sales, marketing, operations, designers, engineers, and other technical and nontechnical stakeholders.
Preferred Experience
- Experience with digital commerce, customer portals, SaaS, B2B technology, IT services, lifecycle management, subscriptions, marketplaces, or complex enterprise workflows.
- Hands-on exposure to product analytics, experimentation, generative AI, automation, APIs, data products, or design and prototyping tools.
- Experience supporting product launches, customer adoption, sales enablement, beta programs, or executive and customer product demonstrations.
Other Requirements
- Bachelor's degree or equivalent practical experience.
- 1-3+ years of experience in product management, product development, digital experience, technology consulting, entrepreneurship, or comparable work solving complex customer problems. Evidence of product thinking and ownership may be considered in place of a specific previous title.
- Ability to travel to [Employer], partner, and customer events.
- Ability to travel internationally.
- Ability to travel up to 25%.
- Ability to work flexible hours when needed to support customers, launches, events, or geographically distributed teams.
The estimated annual pay range for this position is $120,000 - $200,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
Originally posted on [Employer]
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