Director, AI Product Strategy

📍 Job Overview

Job Title: Director, AI Product Strategy

Company: HugeInc

Location: United States

Job Type: Full-Time

Category: Product Strategy / AI Product Management

Date Posted: 2026-09-15T14:14:17

Experience Level: 10+ Years

Remote Status: Remote

🚀 Role Summary

• Lead the strategic vision and execution of AI-driven product initiatives, focusing on transforming client operations and digital experiences through orchestrated agentic workflows.

• Drive the end-to-end product lifecycle, from initial discovery and strategic planning to technical delivery and successful launch of innovative AI solutions.

• Translate complex AI capabilities and client requirements into clear, compelling narratives and measurable business outcomes for senior executive stakeholders.

• Foster collaboration and set design direction across multidisciplinary teams, including Design, Engineering, Program Delivery, Marketing, and Client Partnerships.

• Act as a Subject Matter Expert and trusted advisor, applying agency and consulting rigor to client engagements, ensuring solutions meet both business needs and end-user goals.

📝 Enhancement Note: This role is positioned at a senior level, requiring significant strategic leadership and hands-on execution in the rapidly evolving field of AI product development. The emphasis on "orchestrated agentic workflows" and "beyond the lab and POC stage to shipped and evaluated" indicates a need for practical, delivery-focused AI product expertise, rather than purely theoretical research.

📈 Primary Responsibilities

• Architect and design end-to-end orchestrated AI agent workflows that enhance both consumer-facing digital experiences and intricate internal client operations.

• Own the complete product lifecycle, encompassing discovery, user research, strategic definition, requirements gathering, validation, design, technical development, and market launch.

• Articulate complex AI functionalities and business requirements into concise, persuasive narratives and tangible business outcomes for senior executive clients.

• Collaborate closely with Design, Engineering, Program Delivery, Marketing, and Client Partnerships to establish design principles, refine features, and validate technical feasibility.

• Lead and empower multidisciplinary teams (Design, Strategy, Technology), cultivating a dynamic and efficient work environment.

• Serve as a key advisor and Subject Matter Expert, managing client engagements with a blend of agency-level creativity and consulting-grade analytical rigor.

• Act as a strategic partner to senior clients, deeply understanding and applying business requirements and logic while prioritizing end-user needs and objectives.

📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, technical understanding, and client-facing leadership. The emphasis on "architecting," "owning the end-to-end lifecycle," and "leading multidisciplinary teams" suggests a role that requires strong project management, strategic planning, and cross-functional leadership capabilities within an AI product context.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Computer Science, Engineering, Business, Design, or a related field is typically expected for a Director-level role in AI Product Strategy.

Experience: 10+ years of experience, with a significant portion in digital product development and strategy, particularly within agency or consulting environments.

Required Skills:

• Proven track record in a digital agency or consulting environment, demonstrating successful client engagements and project delivery.

• Deep background as a Product Owner/Manager with extensive experience shipping large-scale, consumer-facing digital products (Web, App, CMS, or Enterprise platforms).

• Practical, applied experience with modern AI tools, including agentic design principles, AI governance, and workflow transformation.

• A hands-on delivery mindset, with a demonstrated history of launching AI experiences that have moved beyond the proof-of-concept stage into production and evaluation.

• Understanding of deterministic versus probabilistic systems and the ability to design strategies that account for these differences.

• Working fluency or hands-on experience with key cloud and LLM ecosystems, specifically:

  • Google Cloud / Vertex AI / Gemini Enterprise Agents

  • Anthropic Claude (including Claude Projects/Skills)

  • OpenAI / Microsoft Copilot Preferred Skills:

• Experience in defining product vision and roadmapping for AI-centric products.

• Strong analytical skills with the ability to translate data insights into actionable product strategies.

• Excellent communication and presentation skills, capable of engaging with both technical teams and C-suite executives.

• Experience with agile development methodologies and project management tools.

• Understanding of AI ethics, bias mitigation, and responsible AI development practices.

📝 Enhancement Note: The requirements emphasize practical, applied experience with AI tools and a delivery-oriented approach. The specific mention of cloud and LLM ecosystems indicates a need for candidates familiar with current industry-leading platforms and technologies in generative AI and agentic systems.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case studies demonstrating the successful conception, development, and launch of large-scale digital products, with a strong emphasis on AI-driven features or solutions.

• Examples of architected end-to-end AI agent workflows, showcasing an understanding of user interaction, system integration, and business process transformation.

• Documentation of product strategy development, including market analysis, competitive landscaping, and user research that informed product decisions.

• Evidence of leading multidisciplinary teams through the product lifecycle, highlighting collaboration, problem-solving, and decision-making processes.

• Demonstrations of translating complex technical capabilities (especially AI/LLM) into clear business outcomes and value propositions for clients. Process Documentation:

• Detailed methodologies for product discovery, including user research techniques, stakeholder interviews, and competitive analysis specific to AI products.

• Frameworks for translating AI capabilities and client needs into actionable product requirements and roadmaps.

• Examples of iterative design and development processes, including validation loops and feedback incorporation, particularly for AI-driven features.

• Strategies for managing the transition of AI products from R&D/POC to production, including considerations for scalability, governance, and ongoing optimization.

📝 Enhancement Note: For a Director-level Product Strategy role focused on AI, a portfolio should clearly articulate strategic thinking, hands-on delivery experience, and the ability to navigate complex technical landscapes. Demonstrating a deep understanding of AI workflows and their practical application to solve business problems is crucial.

💵 Compensation & Benefits

Salary Range: $170,000 - $200,000 USD per year.

Explanation: This range is provided by the employer and reflects the seniority of the Director-level position, the specialized nature of AI Product Strategy, and the requirement for extensive experience in digital product management and consulting. The United States location also influences this range due to market demand and cost of living.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Generous paid time off (PTO) and holiday schedule.

• Retirement savings plan with company match (e.g., 401(k)).

• Professional development and continuous learning opportunities, including access to AI training and conferences.

• Opportunities for career advancement within a growing, AI-native company.

• Remote work flexibility within the United States.

Working Hours: Approximately 40 hours per week, with flexibility expected to meet project deadlines and client demands.

📝 Enhancement Note: The salary range is competitive for a Director-level role in AI Product Strategy in the US market. The benefits package is standard for a professional role at a company of HugeInc's size and industry, with a particular emphasis on professional development relevant to the AI field.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI-Native Design and Technology, Digital Agency, Consulting. HugeInc operates at the intersection of cutting-edge AI technology and human-centered design, positioning itself as a leader in creating impactful digital solutions.

Company Size: Over 1,000 employees globally. This size suggests a well-established organization with structured processes, but also the agility to innovate and adapt, particularly in the fast-paced AI domain.

Founded: The founding date is not explicitly provided, but the company's description as an "independent, human-first AI-native design and technology company" implies a modern, forward-looking ethos.

Team Structure:

• The Product Strategy team likely comprises experienced product managers, strategists, and potentially AI specialists who work collaboratively.

• This role involves leading "multidisciplinary teams" which suggests close collaboration with Design, Engineering, Program Delivery, Marketing, and Client Partnerships functions.

• Reporting structure is likely to a VP of Product, Chief Product Officer, or a similar senior leadership role within the Product organization. Methodology:

• Data-driven decision-making, leveraging insights from user research, market analysis, and performance metrics.

• Agile and iterative development processes, allowing for rapid prototyping, testing, and refinement of AI products.

• Human-centered design principles, ensuring that AI solutions are intuitive, valuable, and meet user needs.

• A focus on translating AI capabilities into tangible business outcomes for clients, emphasizing ROI and strategic impact.

Company Website: hugeinc.com

📝 Enhancement Note: HugeInc's description as "AI-native" and "human-first" suggests a culture that values both technological innovation and user empathy. The global presence and significant employee count indicate a robust organizational structure capable of handling large-scale client projects.

📈 Career & Growth Analysis

Operations Career Level: Director, AI Product Strategy. This is a senior leadership role responsible for setting strategic direction, leading complex projects, and influencing client outcomes. It requires a blend of deep technical understanding of AI, strong product management acumen, and executive-level client advisory skills.

Reporting Structure: The Director will likely report to a VP of Product, Chief Product Officer, or a similar senior executive, and will be responsible for leading cross-functional project teams.

Operations Impact: This role has a direct impact on HugeInc's ability to deliver innovative AI solutions to clients, driving client success, revenue growth, and the company's reputation as a leader in AI-native product development. Successful AI product strategies and executions will significantly contribute to client transformation and HugeInc's market position.

Growth Opportunities:

• Leadership Development: Potential to grow into VP-level roles, overseeing larger product portfolios or strategic initiatives.

• Specialization: Deepen expertise in specific AI domains (e.g., generative AI, agentic systems, specific industry applications) and become a recognized thought leader.

• Client Advisory: Elevate client relationships to strategic partnership levels, influencing long-term digital transformation roadmaps.

• Mentorship: Opportunity to mentor junior product managers and strategists, shaping the next generation of AI product leaders at HugeInc.

📝 Enhancement Note: The Director level implies a significant scope of responsibility and influence. Growth opportunities are likely tied to expanding leadership scope, deepening AI specialization, and increasing strategic impact on both clients and the company's overall direction.

🌐 Work Environment

Office Type: This position is designated as remote within the United States. This indicates a distributed workforce model, leveraging digital collaboration tools extensively.

Office Location(s): While the role is remote, HugeInc has hub cities globally, including Chicago, New York, San Francisco, and Washington D.C. in the US. This suggests potential for occasional in-person collaboration or team meetups in these locations.

Workspace Context:

• A highly collaborative remote environment, relying on digital tools for communication, project management, and ideation.

• Access to cutting-edge AI tools and platforms for experimentation and development.

• Opportunities to engage with diverse client teams and internal stakeholders across various functions.

• A culture that supports continuous learning and exploration in the rapidly evolving AI landscape.

Work Schedule: Standard 40-hour work week, with the expectation of flexibility to accommodate client needs, project deadlines, and global team collaborations. This means some work outside traditional hours might be necessary.

📝 Enhancement Note: The remote nature of the role necessitates strong self-discipline, excellent communication skills, and proficiency with remote collaboration tools. The company's established presence in major US cities might offer opportunities for optional in-person engagement or networking.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the required experience and skills, particularly in AI product strategy and delivery.

• Hiring Manager Interview: Discussion focused on your background, experience with AI product development, strategic thinking, and leadership capabilities. You'll be expected to articulate your approach to product strategy and client engagements.

• Panel Interview(s): Interviews with cross-functional team members (e.g., Design, Engineering, Client Partnerships) to evaluate collaboration style, technical understanding, and ability to work within a multidisciplinary team. Be prepared to discuss specific AI projects and your role in them.

• Client Case Study/Presentation: You may be asked to present a case study from your portfolio or tackle a hypothetical AI product strategy challenge. This will assess your ability to translate complex AI concepts into business value and present compelling solutions.

• Final Interview: Likely with a senior executive (e.g., CPO, Head of Product) to discuss overall fit, strategic vision, and long-term potential within HugeInc.

Portfolio Review Tips:

• Highlight AI Impact: Showcase specific AI product initiatives, clearly detailing the problem, your strategy, the AI technologies used (LLMs, agentic workflows), your role, and the measurable business outcomes achieved.

• Demonstrate Delivery: Provide evidence of products that have moved beyond the POC stage to successful launch and evaluation. Quantify results wherever possible (e.g., user adoption, efficiency gains, revenue impact).

• Showcase Workflow Architecture: Include examples of how you've architected complex AI agent workflows, illustrating the flow of information, decision points, and integration points.

• Client Engagement Examples: Present how you’ve advised senior clients, translated their needs into product strategies, and managed complex stakeholder relationships.

• Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and clearly articulates your contributions and the impact of your work.

Challenge Preparation:

• AI Strategy Frameworks: Be ready to discuss frameworks for developing AI product strategies, including market analysis, competitive intelligence, and user segmentation for AI-driven products.

• Agentic Workflow Design: Prepare to walk through the design process for an orchestrated AI agent workflow, considering user experience, system integrations, and potential failure points.

• LLM Ecosystem Knowledge: Be prepared to discuss the practical applications and limitations of major LLM platforms (Google Vertex AI, Anthropic Claude, OpenAI) and how they can be leveraged for client solutions.

• Problem-Solving Scenarios: Anticipate questions about how you would approach common challenges in AI product development, such as data privacy, model bias, scalability, or user adoption.

📝 Enhancement Note: The interview process is designed to assess strategic thinking, practical AI implementation skills, client management, and leadership potential. A strong, AI-focused portfolio is critical for demonstrating the required expertise.

🛠 Tools & Technology Stack

Primary Tools:

• AI/LLM Platforms:

  • Google Cloud (Vertex AI, Gemini Enterprise Agents)
  • Anthropic Claude (Claude Projects/Skills)
  • OpenAI / Microsoft Copilot

• Product Management Software: Tools for roadmap planning, backlog management, and feature prioritization (e.g., Jira, Aha!, Productboard).

• Design & Collaboration Tools: Platforms for wireframing, prototyping, and team collaboration (e.g., Figma, Miro, Slack, Microsoft Teams).

Analytics & Reporting:

• Data Analysis Tools: Proficiency in analyzing product performance metrics, user behavior data, and AI model performance.

• Business Intelligence Tools: Experience with BI platforms for dashboard creation and reporting (e.g., Tableau, Power BI, Looker) to track AI product KPIs.

CRM & Automation:

• CRM Systems: Familiarity with CRM platforms (e.g., Salesforce) for understanding client needs and sales processes, though direct management may not be required.

• Workflow Automation: Understanding of how AI integrates with and enhances existing workflow automation tools.

📝 Enhancement Note: Proficiency with specific AI platforms like Vertex AI, Gemini, Claude, and OpenAI is a direct requirement. Beyond that, strong product management and collaboration tool skills are essential for success in a remote, multidisciplinary environment.

👥 Team Culture & Values

Operations Values:

• Human-First AI: A core value that balances cutting-edge AI innovation with a deep understanding of human needs, user experience, and ethical considerations.

• Impact-Driven: A focus on delivering tangible business outcomes and measurable value for clients through AI solutions.

• Collaboration & Partnership: Strong emphasis on teamwork across disciplines and building trusted, long-term relationships with clients.

• Agility & Innovation: A culture that embraces rapid iteration, experimentation, and continuous learning in the fast-evolving AI landscape.

• Authenticity: Encouraging employees to be their most authentic selves, fostering diversity and inclusivity.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration between Product Strategy, Design, Engineering, and Client Partnerships is critical for end-to-end solution delivery.

• Open Communication: A culture that encourages open dialogue, constructive feedback, and knowledge sharing, particularly in a remote setting.

• Client-Centric Approach: A unified effort to understand and address client challenges, ensuring that product strategies are aligned with business objectives.

📝 Enhancement Note: HugeInc's stated values of "human-first AI" and "impact-driven" suggest a company that is both technologically advanced and deeply focused on user and business outcomes. The collaborative style is essential for bridging the gap between AI capabilities and client needs.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying ahead of constant advancements in AI technology, LLMs, and agentic systems requires continuous learning and adaptation.

• Translating Complex AI to Business Value: Effectively communicating the potential and limitations of AI to non-technical clients and stakeholders, ensuring realistic expectations and clear ROI.

• Ethical AI and Governance: Navigating the complexities of AI ethics, bias mitigation, data privacy, and responsible deployment in client solutions.

• Cross-functional Alignment: Ensuring seamless collaboration and shared understanding across diverse teams (design, engineering, business, client partners) in a remote environment.

• Moving Beyond POCs: Successfully transitioning AI innovations from experimental stages to scalable, production-ready products that deliver sustained value.

Learning & Development Opportunities:

• AI Specialization: Deep dive into emerging AI sub-fields, model architectures, and platform capabilities.

• Client Advisory Skills: Enhance consulting and strategic advisory skills through complex client engagements.

• Leadership Training: Develop advanced leadership capabilities for managing large, multidisciplinary teams and strategic initiatives.

• Industry Conferences & Certifications: Opportunities to attend leading AI and product management conferences and pursue relevant certifications.

• Internal Knowledge Sharing: Participate in and contribute to internal workshops, tech talks, and best practice sharing sessions focused on AI product development.

📝 Enhancement Note: The challenges are inherent to a cutting-edge field like AI product strategy. Addressing them effectively will require a proactive learning mindset and strong problem-solving skills. Growth opportunities are substantial for individuals who can excel in this dynamic environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI product strategy you developed. What was the problem, your approach, the key AI technologies involved, and the ultimate business outcome?" (Focus on demonstrating strategic thinking, AI understanding, and quantifiable results.)

• "How do you balance the end-user's needs with the client's business requirements and the technical feasibility of AI solutions?" (Prepare to discuss your framework for stakeholder alignment and trade-off analysis.)

• "Walk me through how you would architect an orchestrated AI agent workflow for a specific client problem, considering data flow, decision logic, and user interaction." (Be ready to sketch out a conceptual workflow and explain your design choices.) Company & Culture Questions:

• "What excites you most about HugeInc's approach to AI-native product development, and how does your philosophy align with our 'human-first AI' value?" (Research HugeInc's work and articulate your connection to their mission.)

• "Describe your experience working in a remote, multidisciplinary team environment. How do you foster collaboration and ensure alignment?" (Highlight your communication, organization, and team-building skills.)

• "How do you measure the success and impact of AI products beyond initial launch?" (Prepare to discuss KPIs, ongoing monitoring, and iteration strategies.) Portfolio Presentation Strategy:

• Storytelling: Structure your portfolio presentations around compelling narratives that highlight the problem, your strategic solution, your execution, and the tangible impact.

• Visuals: Use clear diagrams, mockups, and data visualizations to illustrate complex AI concepts, workflows, and results effectively.

• Quantification: Wherever possible, present data and metrics that demonstrate the ROI, efficiency gains, or user adoption achieved by your AI products.

• Client Focus: Frame your contributions in terms of how you solved client problems and delivered business value.

📝 Enhancement Note: Prepare to discuss specific AI technologies and their practical applications. Emphasize your ability to bridge the gap between technical innovation and business outcomes, showcasing both strategic vision and hands-on delivery capabilities.

📌 Application Steps

To apply for this Director, AI Product Strategy position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Tailor your resume and portfolio to prominently feature your experience with AI product strategy, agentic workflows, and successful digital product launches. Highlight specific examples using LLMs and cloud AI platforms.

• Resume Optimization: Ensure your resume clearly outlines your years of experience, leadership roles, and quantifiable achievements in product management and AI-driven initiatives. Use keywords from the job description naturally.

• Interview Preparation: Practice articulating your experience with AI product lifecycle management, client advisory, and cross-functional team leadership. Prepare specific examples for behavioral and situational questions.

• Company Research: Thoroughly review HugeInc's website, recent projects, and any public statements about their AI strategy to understand their approach and articulate your alignment during interviews.

⚠️ 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.