Sr Mgr Product Strategy

📍 Job Overview

Job Title: Sr Mgr Product Strategy

Company: Insight

Location: Chandler, Arizona, United States

Job Type: FULL_TIME

Category: Product Management / Strategy (with a focus on AI/ML Transformation)

Date Posted: 2026-04-29T21:49:03

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Remote OK (US-based)

🚀 Role Summary

• This role is pivotal in defining and executing the product strategy for Insight's internal AI transformation initiatives, directly impacting client outcomes and market positioning.

• It requires a strategic product leader to bridge advanced AI/ML capabilities with tangible business value, focusing on complex SaaS product launches and scaling.

• The position involves deep engagement with C-suite executives and cross-functional teams, necessitating strong stakeholder management and communication skills.

• Success in this role hinges on data-driven decision-making, robust market analysis, and the ability to translate complex user needs into actionable product roadmaps and requirements.

📝 Enhancement Note: While the title is "Sr Mgr Product Strategy," the core responsibilities and required experience point towards a senior-level Product Management role with a strong strategic component, particularly in the AI/ML and SaaS domains. The emphasis on internal transformation driving external client outcomes suggests a critical role in shaping Insight's service offerings. This role is less about traditional operations (like RevOps or SalesOps) and more about the strategic direction and execution of product development, specifically leveraging AI for business solutions.

📈 Primary Responsibilities

• Product Strategy & Vision: Define, articulate, and champion the long-term product vision and strategic roadmap for Insight's AI transformation initiatives, ensuring alignment with the company's overall AI strategy and identifying new market opportunities.

• Market & User Insight Generation: Conduct comprehensive market research, competitive landscaping, and user analysis to deeply understand the challenges and needs of mid-market CEOs and Chief AI Officers concerning AI transformation.

• Roadmap Development & Prioritization: Develop, maintain, and communicate a compelling product roadmap for the AI transformation, prioritizing features and initiatives based on quantifiable business impact (ROI, revenue generation, cost savings, productivity gains), technical feasibility, and strategic alignment.

• Product Definition & Requirements Management: Translate market and user insights into detailed product requirements, including epics, user stories, and acceptance criteria, for engineering and development teams, with a focus on core functionalities such as data ingestion, analysis engines, continuous iteration, and execution enablement.

• AI-Led Process Oversight: Oversee the design, development, and refinement of AI-led interview workflows and data gathering processes to ensure effective capture of strategic insights from client executives and business units.

• Cross-Functional Collaboration: Lead and collaborate effectively with AI/ML specialists, engineers, UX/UI designers, sales teams, and service delivery to ensure successful product development, launch, and adoption.

• Performance Measurement & Iteration: Define key performance indicators (KPIs) for AI transformation products, analyze product performance data, and drive continuous iteration and improvement based on insights.

📝 Enhancement Note: The "Be AmbITious" bullet point within the original description suggests a strong emphasis on internal career growth and development, aligning with a structured approach to talent management within Insight. The mention of "AI-led Interview & Data Process" indicates a specific focus on how AI will be used to gather and process strategic information, likely for client engagements or internal strategic planning.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, Business, or a related field.

Experience:

• 5+ years of progressive product management experience, with a proven track record of successfully launching and scaling complex SaaS products.

• Demonstrated experience with AI/ML products, platforms, or initiatives, coupled with a solid understanding of AI's strategic implications for enterprises.

• Proven ability to engage with and understand the needs of C-suite executives and complex business challenges.

Required Skills:

• Product Strategy: Ability to define and articulate long-term product visions and strategies.

• SaaS Product Management: Expertise in the full product lifecycle of Software-as-a-Service offerings.

• AI/ML Product Acumen: Deep understanding of AI/ML capabilities and their application in enterprise solutions.

• Roadmap Development: Skill in creating and managing prioritized product roadmaps.

• Market & Competitive Analysis: Proficiency in conducting thorough market research and competitive intelligence.

• Agile Methodologies: Experience working within agile frameworks, ideally as a Product Owner.

• Data-Driven Decision Making: Strong analytical skills to define metrics, analyze data, and inform product decisions.

• Stakeholder Management: Excellent ability to influence, collaborate with, and present to diverse stakeholders, including C-suite executives.

• User-Centric Design: Passion for understanding and translating user needs into product features.

• Communication & Presentation: Exceptional verbal, written, and presentation skills.

Preferred Skills:

• Business Strategy: Experience in developing and executing business strategies.

• Cloud Computing & Intelligent Edge: Familiarity with related technology domains.

• Cybersecurity: Understanding of security considerations in product development.

• UX/UI Design Principles: Ability to collaborate effectively with design teams.

• ROI Analysis: Proven ability to quantify business impact and ROI for product initiatives.

📝 Enhancement Note: The requirement for experience with "mid-market CEOs and Chief AI Officers" suggests a focus on B2B enterprise solutions, particularly for companies undergoing digital transformation. The emphasis on SaaS products and AI/ML indicates a need for candidates who are comfortable with cutting-edge technology and its application in business contexts.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of successfully launched and scaled SaaS products, highlighting the product lifecycle from ideation to post-launch iteration.

• Case studies detailing the strategic planning and roadmap development for complex product initiatives, emphasizing prioritization frameworks used.

• Examples of how market research and competitive analysis were leveraged to inform product strategy and feature definition.

• Documentation showcasing the translation of user needs and business requirements into detailed product specifications (epics, user stories, acceptance criteria), particularly for AI/ML-related features.

Process Documentation:

• Showcase experience in developing and managing product roadmaps within agile frameworks (e.g., Scrum, Kanban).

• Illustrate processes for gathering and synthesizing user feedback and market intelligence to drive product decisions.

• Provide examples of cross-functional collaboration processes, particularly with engineering, design, sales, and service delivery teams on product development.

• Documentation of how product requirements were defined and managed, ensuring clear communication to development teams.

📝 Enhancement Note: Given the role's focus on AI transformation, a portfolio should ideally include examples of how AI/ML capabilities were integrated into product offerings or how AI was used to improve existing processes. Demonstrating experience with data ingestion, analysis engines, and iterative development for AI models would be highly beneficial.

💵 Compensation & Benefits

Salary Range: $175,000 - $185,000 base salary per year.

Variable Incentive: In addition to the base salary, candidates are eligible for a variable incentive bonus, the specifics of which would be discussed during the interview process.

Benefits:

• Remote Work Flexibility: Freedom to work from another location within the United States.

• International Work Opportunity: Ability to work from an international destination for up to 30 consecutive calendar days per year.

• Professional Development: Opportunities for upskilling and continuous learning.

• Career Advancement: Clear pathways for earning promotions and elevating one's career within Insight.

• Comprehensive Health & Wellness: (Implied, standard for full-time roles, details to be confirmed)

• Retirement Savings Plan: (Implied, standard for full-time roles, details to be confirmed)

• Paid Time Off: (Implied, standard for full-time roles, details to be confirmed)

Working Hours:

• Standard full-time work hours are expected, likely around 40 hours per week. The remote nature offers flexibility in scheduling, but responsiveness and meeting deadlines are key.

📝 Enhancement Note: The salary range provided ($175k-$185k base) is competitive for a Sr. Manager level Product Strategy role in the US, especially within the tech sector and for a Fortune 500 company. The inclusion of a variable incentive component is common for strategic roles. The unique benefit of international work flexibility is a significant perk. Salary research for "Sr. Product Manager" or "Product Strategy Manager" in tech roles in areas with a strong tech presence in the US (even for remote) typically falls within or slightly above this range, considering the experience level and specialized AI/ML focus.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Solutions, IT Services, Cloud Computing, Data & AI, Cybersecurity, Intelligent Edge. Insight is a Fortune 500 Solutions Integrator.

Company Size: 14,000+ teammates globally. This indicates a large, established organization with significant resources and a structured environment, offering opportunities for broad impact and career progression.

Founded: While not explicitly stated, Insight has been a significant player in the IT solutions space for many years, indicated by its Fortune 500 status and substantial revenue ($9.2 billion). This suggests a stable company with a history of growth and adaptation.

Team Structure:

• This role is within the Data & AI division, focusing on internal transformation initiatives.

• The Product Manager will likely manage a small, dedicated product team or work closely with leads from AI/ML specialists, engineering, and UX/UI design.

• Collaboration is expected across various departments, including Sales, Service Delivery, and potentially other product groups, to ensure holistic AI strategy implementation.

Methodology:

• Data-Driven Decision Making: Emphasis on using data analysis to inform product strategy, prioritize features, and measure success.

• Agile Development: The team operates in a fast-paced, agile environment, requiring iterative development and continuous feedback loops.

• User-Centric Design: A strong focus on understanding and addressing the needs of target users, including C-suite executives.

• Strategic Alignment: All product initiatives are expected to align with Insight's broader AI strategy and business objectives.

Company Website: https://www.insight.com/

📝 Enhancement Note: Insight's positioning as a "Solutions Integrator" implies a strong customer-facing aspect where technology is applied to solve business problems. The company culture is explicitly built around "Hunger, Heart, and Harmony," suggesting a drive for achievement, empathy, and teamwork. The mention of significant charitable contributions highlights a commitment to corporate social responsibility.

📈 Career & Growth Analysis

Operations Career Level: Senior Manager / Principal Product Manager. This level signifies significant responsibility for strategic direction, product roadmap ownership, and leadership of product initiatives, often involving significant P&L or revenue impact.

Reporting Structure: Typically reports to a Director or VP of Product Management or AI Strategy. This position will also have significant dotted-line reporting and collaboration with technical leaders (e.g., Head of AI/ML) and business leaders (e.g., Sales leadership, Service Delivery).

Operations Impact: This role directly influences Insight's ability to leverage AI internally, which in turn enhances its client offerings. Success means Insight can better guide clients through digital and AI transformations, potentially leading to increased revenue, improved client satisfaction, and stronger market differentiation.

Growth Opportunities:

• Leadership Advancement: Potential to move into Director-level roles overseeing larger product portfolios or specific AI domains.

• Specialization: Deepen expertise in AI/ML product strategy, becoming a subject matter expert within Insight or the broader industry.

• Cross-Functional Leadership: Opportunities to lead strategic initiatives that span multiple departments or business units.

• Continuous Learning: "Be AmbITious" program and company culture encourage upskilling in emerging technologies and product management best practices, potentially through certifications, conferences, and internal training.

📝 Enhancement Note: The "ambITious" program explicitly points to a culture that supports career growth. For a Product Strategy role, this often means opportunities to lead larger product lines, move into broader strategic roles, or even transition into general management if desired, especially given the company's scale.

🌐 Work Environment

Office Type: The role is designated as remote within the United States. This implies a distributed workforce model. While Insight has physical offices (Chandler, AZ is listed), this specific position is remote.

Office Location(s): While the posting lists Chandler, AZ as a location, the role is remote within the United States. Insight has a significant presence in Chandler, AZ, and other U.S. locations.

Workspace Context:

• Collaborative Environment: Despite being remote, the culture emphasizes "Harmony," suggesting a collaborative approach. Expect frequent virtual meetings, use of collaboration tools (e.g., Slack, Teams), and a focus on team cohesion.

• Operations Tools & Technology: Access to standard corporate IT infrastructure, collaboration software, and potentially specialized product management and AI/ML development tools.

• Team Interaction: Regular interaction with product teams, engineering, design, sales, and leadership will occur via video conferencing, chat, and project management platforms.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) are expected, but the remote nature offers flexibility in managing the workday.

• Employees are expected to be available for core business hours and critical meetings, especially given the cross-functional and potentially global nature of a Fortune 500 company.

📝 Enhancement Note: The "Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year" is a significant differentiator for the work environment, offering unique flexibility for remote employees.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Talent Acquisition call to assess basic qualifications, cultural fit, and salary expectations.

• Hiring Manager Interview: In-depth discussion about experience, product strategy approach, AI/ML understanding, and leadership capabilities. Focus on how you've driven product vision and roadmaps.

• Cross-Functional Interviews: Meetings with key stakeholders (e.g., Lead AI Engineer, Head of Sales Strategy, Service Delivery Lead) to assess collaboration skills and understanding of their perspectives. Expect questions about how you'd work with their teams.

• Product Case Study/Challenge: A common element for product roles. You may be asked to present a strategy for a hypothetical AI product, analyze a market scenario, or critique an existing product. This is where your portfolio becomes crucial.

• Final Round: Potentially with senior leadership (e.g., VP of Product, CTO) to discuss strategic alignment and long-term vision.

Portfolio Review Tips:

• Highlight SaaS & AI/ML Successes: Focus on your most impactful SaaS product launches and any experience with AI/ML initiatives. Quantify results whenever possible (e.g., revenue growth, cost savings, user adoption).

• Structure Case Studies: For any product strategy work, clearly outline the problem, your approach (market analysis, user research), the solution (product definition, roadmap), and the outcomes (metrics, lessons learned).

• Demonstrate Strategic Thinking: Show how you connect market needs, business goals, and technical capabilities to create a compelling product vision and actionable roadmap.

• Showcase Collaboration & Influence: Include examples of how you've worked with diverse teams and influenced stakeholders to drive product decisions and execution.

• Tailor to Insight: Research Insight's current AI initiatives and services. Frame your portfolio examples to demonstrate how your experience aligns with their strategic direction.

Challenge Preparation:

• AI Strategy: Be prepared to discuss the strategic implications of AI for businesses, potential use cases, and challenges in implementation.

• Product Prioritization: Practice frameworks for prioritizing features based on ROI, strategic value, and feasibility.

• Market Analysis: Be ready to analyze a given market or product landscape and propose strategic directions.

• Communication: Practice presenting complex ideas clearly and concisely, as you will be expected to articulate your strategies to various audiences.

📝 Enhancement Note: Given the "Sr Mgr" title and the strategic nature of the role, expect interviewers to probe deeply into your thought process, strategic frameworks, and ability to lead through influence rather than direct authority. The portfolio is your primary tool to demonstrate these capabilities.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Aha!, Productboard, or similar for roadmap planning, backlog management, and documentation.

• Collaboration Suites: Microsoft Teams, Slack for communication and team coordination.

• Prototyping/Design Tools: Figma, Sketch, Adobe XD (for collaboration with UX/UI designers).

• AI/ML Platforms: Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) would be beneficial.

Analytics & Reporting:

• Business Intelligence Tools: Tableau, Power BI, Looker for data analysis and dashboard creation.

• Web Analytics: Google Analytics, Adobe Analytics (if applicable to product usage).

• CRM Data: Salesforce or similar, for understanding customer segmentation and sales impact.

CRM & Automation:

• CRM: Salesforce (likely used extensively for understanding client data and sales pipeline).

• Automation Tools: Experience with marketing automation or workflow automation tools could be relevant for understanding process optimization.

• Data Warehousing/ETL: Familiarity with data pipelines and data integration concepts.

📝 Enhancement Note: While specific tools aren't listed, a Sr. Product Manager in an AI/ML strategy role should be comfortable with a broad range of technologies. Proficiency in standard product management software and a strong understanding of how data is collected, processed, and analyzed for AI applications are essential.

👥 Team Culture & Values

Operations Values:

• Hunger: A drive for achievement, continuous improvement, and a proactive approach to problem-solving and opportunity identification.

• Heart: Empathy, integrity, and a commitment to doing the right thing for teammates, clients, and the community. This translates to user-centricity and ethical AI development.

• Harmony: Collaboration, teamwork, and a focus on building positive relationships across diverse teams and stakeholders. This is crucial for a remote, cross-functional role.

• Ambition (Implied by "ambITious"): A culture that supports and encourages personal and professional growth, career advancement, and continuous learning.

Collaboration Style:

• Cross-Functional Integration: The role demands seamless collaboration with engineering, design, sales, and service delivery. Expect a partnership-driven approach to product development and go-to-market strategies.

• Data-Informed Dialogue: Discussions are expected to be grounded in data and market insights, fostering a culture of objective decision-making.

• Remote-First Communication: Effective use of virtual communication tools, clear documentation, and proactive engagement to maintain alignment and foster a sense of team unity across distributed locations.

📝 Enhancement Note: The core values of Hunger, Heart, and Harmony are central to Insight's identity and should be reflected in how candidates present themselves and their experiences. Demonstrating how you embody these values will be key during interviews.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: As a role focused on AI transformation, the landscape is rapidly evolving, requiring adaptability and comfort with uncertainty.

• Cross-Functional Alignment: Gaining consensus and driving initiatives across multiple departments with potentially competing priorities can be challenging.

• Translating Vision to Execution: Effectively bridging the gap between high-level strategic vision and the detailed execution required for product development.

• Measuring AI Impact: Quantifying the ROI and business impact of AI initiatives, which can be complex and require innovative metrics.

• Staying Ahead of AI Trends: Continuously learning and adapting to the fast-paced advancements in AI and ML technologies.

Learning & Development Opportunities:

• AI/ML Specialization: Deepen expertise in cutting-edge AI technologies and their strategic application through internal projects and potentially external courses/certifications.

• Product Leadership: Develop skills in strategic planning, stakeholder management, and leading cross-functional teams at a senior level.

• Industry Exposure: Gain insights into how various industries are leveraging AI through client engagements and market analysis.

• Mentorship: Access to senior leaders within Insight who can provide guidance on career growth and strategic thinking.

• "Be AmbITious" Program: Formal opportunities for skill enhancement, career pathing, and advancement.

📝 Enhancement Note: The challenges highlight the need for a candidate who is not only technically proficient in AI/ML and product management but also possesses strong leadership, communication, and problem-solving skills to navigate a complex and dynamic environment.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing a product strategy for a new AI-powered SaaS offering. How do you balance market opportunity, technical feasibility, and business goals?"

• "How would you define the product roadmap for Insight's internal AI transformation? What criteria would you use for prioritization, and how would you communicate this to stakeholders?"

• "Walk me through a time you had to influence C-suite executives to adopt a new product strategy or feature. What was the situation, your approach, and the outcome?"

Company & Culture Questions:

• "Based on your understanding of Insight, how would you apply the 'Hunger, Heart, Harmony' values to your role as Sr. Manager, Product Strategy?"

• "How do you foster collaboration within a remote, cross-functional team focused on developing complex AI products?"

Portfolio Presentation Strategy:

• Focus on Impact: When presenting case studies, emphasize the quantifiable business impact (ROI, revenue, efficiency gains) of your product initiatives.

• Tell a Story: Structure your portfolio examples as narratives: the challenge, your strategic approach, the execution, and the results.

• Demonstrate Strategic Thinking: Clearly articulate why you made certain strategic decisions, linking them back to market insights and business objectives.

• Highlight AI/ML Relevance: If possible, showcase projects where you've worked with AI/ML, data science, or complex analytical systems. Explain the technical challenges and how you navigated them.

• Be Prepared for Q&A: Anticipate questions about trade-offs, risks, and alternative approaches you considered.

📝 Enhancement Note: Expect behavioral questions designed to assess your alignment with Insight's values and your ability to lead and collaborate in a fast-paced, remote environment. Preparing specific examples from your past experience that demonstrate these qualities will be critical.

📌 Application Steps

To apply for this operations position:

• Submit your application through the designated application link provided on the Insight careers portal.

• Resume Optimization: Tailor your resume to highlight experience in SaaS product management, AI/ML strategy, product roadmap development, and stakeholder management. Use keywords from the job description and quantify your achievements with metrics.

• Portfolio Curation: Prepare a concise portfolio that showcases 2-3 key projects demonstrating your strategic thinking, product launch success, and experience with AI/ML or complex SaaS products. Focus on impact and process.

• Interview Preparation: Research Insight's business, its AI services, and its core values (Hunger, Heart, Harmony). Prepare to discuss your experience using the STAR method and be ready for a product strategy case study.

• Company Research: Understand Insight's market position as a Solutions Integrator and how AI transformation fits into their overall strategy. Be ready to articulate how your skills and experience can contribute to their goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.