Director, AI Product Strategy

📍 Job Overview

Job Title: Director, AI Product Strategy

Company: Jobgether (Partner Company)

Location: United States

Job Type: Full-time

Category: Product Management / AI Strategy

Date Posted: 2026-09-16

Experience Level: 10+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead the strategic development and execution of AI-powered product roadmaps, focusing on agentic workflows and large language models (LLMs).

• Drive the full product lifecycle from ideation and research through to validation, development, launch, and iterative improvement for sophisticated digital products.

• Act as a trusted advisor to senior client stakeholders, translating complex business challenges into scalable AI and digital solutions.

• Champion collaboration across multidisciplinary teams, including Design, Engineering, Program Delivery, Marketing, and Client Partnerships, to ensure successful product delivery.

📝 Enhancement Note: This role is positioned as a senior leadership opportunity within AI product development, requiring a blend of strategic vision, deep technical understanding of AI, and strong client-facing consulting skills. The emphasis on "agentic workflows" and specific LLM ecosystems indicates a focus on advanced AI applications beyond basic machine learning.

📈 Primary Responsibilities

• Architect and oversee the end-to-end design and implementation of orchestrated AI agent workflows aimed at transforming both consumer-facing digital experiences and complex internal client operations.

• Own and manage the complete product lifecycle, encompassing discovery, in-depth research, strategic planning, detailed requirements gathering, validation, design, technology delivery, and successful product launch.

• Translate intricate business requirements and emerging AI capabilities into clear, actionable product strategies, compelling narratives, and measurable business outcomes for senior executive audiences.

• Foster strong partnerships with Design, Engineering, Program Delivery, Marketing, and Client Partnership teams to establish strategic direction, facilitate iterative solution development, and rigorously validate technical feasibility.

• Lead and inspire multidisciplinary teams, spanning strategy, design, and technology, to cultivate a collaborative, fast-paced, and high-performance delivery environment.

• Serve as a key subject matter expert and trusted advisor during client engagements, applying robust agency and consulting discipline to address complex product challenges.

• Cultivate and maintain close partnerships with senior client stakeholders, adeptly balancing business requirements and operational logic with user needs, goals, and overall experience.

• Apply hands-on knowledge and practical experience with AI tools and emerging technologies to develop viable, real-world solutions that move beyond experimental phases into production.

📝 Enhancement Note: The responsibilities highlight a senior role requiring end-to-end ownership, strategic client advisory, and hands-on leadership in advanced AI product development. The emphasis on "orchestrated AI agent workflows" and "transforming consumer-facing digital experiences and complex internal client operations" points to a focus on complex, integrated AI solutions rather than standalone features.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field would be highly beneficial. Equivalent practical experience will also be considered.

Experience: Minimum of 10+ years of progressive experience in product management, digital strategy, or consulting, with a significant portion focused on AI-driven products.

Required Skills:

• Proven experience working within a digital agency, consulting firm, or a similarly client-focused environment, demonstrating a strong understanding of client service and project delivery.

• Deep product management or product ownership expertise, with a demonstrable track record of successfully launching and managing large-scale, consumer-facing digital products across web, mobile applications, CMS, or enterprise platforms.

• Practical, applied experience with modern AI technologies, including agentic design principles, AI governance frameworks, workflow transformation methodologies, and AI-powered product development processes.

• Demonstrated ability to successfully guide AI concepts from initial experimentation or proof-of-concept stages through to full production, launch, and subsequent evaluation.

• Strong understanding of the distinctions between deterministic and probabilistic systems, and the ability to design effective products and workflows that leverage these characteristics.

• Hands-on experience or a strong working knowledge of cloud and large language model (LLM) ecosystems, specifically mentioning Google Cloud, Vertex AI, Gemini Enterprise Agents, Anthropic Claude, OpenAI, and Microsoft Copilot.

• A proven ability to bridge high-level strategic thinking with hands-on, practical delivery and effective technical problem-solving.

• Exceptional communication and storytelling skills, with the proven capacity to articulate sophisticated technical and AI concepts to both senior executives and non-technical stakeholders.

• Demonstrated leadership experience with multidisciplinary teams, coupled with the ability to collaborate effectively across strategy, design, engineering, delivery, marketing, and client-facing functions.

• Strong business acumen, robust product thinking capabilities, exceptional problem-solving skills, and comfort operating in ambiguous, fast-moving environments. Preferred Skills:

• Experience with AI ethics and responsible AI development principles.

• Familiarity with agile development methodologies and their application to AI product development.

• Understanding of data strategy and its role in AI product success.

• Experience with A/B testing and experimentation frameworks for AI-driven features.

📝 Enhancement Note: The requirements emphasize practical, applied experience with AI technologies and a strong consulting background. The explicit mention of specific LLM platforms and agentic design indicates a need for candidates who are not just aware of AI trends but can actively implement them. The "10+ years" experience level suggests a senior leadership role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a portfolio showcasing successful end-to-end product lifecycle management for significant digital products, highlighting your role and contributions.

• Include case studies that detail the application of AI technologies, particularly LLMs or agentic workflows, in solving complex business problems or enhancing user experiences.

• Provide examples of how you translated complex business requirements and technical possibilities into clear product strategies and actionable roadmaps.

• Showcase instances where you led multidisciplinary teams through the design, development, and launch phases of digital or AI-powered products.

• Present evidence of your ability to manage client relationships and deliver strategic recommendations in a consulting or agency context. Process Documentation:

• Documented approaches to product discovery and research, including methodologies for identifying user needs and market opportunities for AI products.

• Examples of strategic planning processes for AI initiatives, including roadmap development, prioritization frameworks, and KPI definition.

• Demonstrations of workflow design and optimization, particularly for AI agentic systems, illustrating how complex processes were streamlined or automated.

• Evidence of system implementation standards, focusing on the integration of AI technologies into existing platforms or the development of new AI-driven systems.

• Case studies or project summaries that clearly articulate the ROI and business impact of AI-driven product initiatives.

📝 Enhancement Note: A strong portfolio is critical, showcasing not just product delivery but also strategic thinking, AI application, and client advisory skills. The focus should be on demonstrable impact and the ability to navigate complex, AI-centric product development cycles.

💵 Compensation & Benefits

Salary Range: $170,000 – $200,000 USD annually.

Benefits:

• Fully remote position: Work from anywhere within the United States, offering significant flexibility.

• Cutting-edge technology exposure: Opportunity to work with advanced AI tools, agentic workflows, cloud platforms, and LLM ecosystems.

• High-impact projects: Lead digital transformation initiatives for complex client organizations, driving significant business outcomes.

• Collaborative environment: Work within a multidisciplinary team that integrates strategy, design, technology, and product expertise.

• Inclusive workplace: Contribute to an environment focused on authenticity and belonging.

• Accessible recruitment: Barrier-free recruitment processes with accommodations available.

Working Hours: While not explicitly stated, a standard full-time commitment of approximately 40 hours per week is expected. Given the remote nature and client-facing responsibilities, flexibility may be required to accommodate different time zones and client needs.

📝 Enhancement Note: The salary range is competitive for a Director-level AI Product Strategy role in the US. The benefits emphasize flexibility, professional development in a cutting-edge field, and a commitment to an inclusive work environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / AI Solutions / Digital Transformation Services (as implied by the role and Jobgether's AI-matching service). The partner company likely operates within a sector that leverages AI to provide digital solutions and strategic consulting to other businesses.

Company Size: The specific size of the partner company is not disclosed, but Jobgether's platform suggests they work with a range of companies. The nature of the role (Director-level, client-facing, AI-focused) implies the partner company is established enough to handle complex client engagements and has a dedicated AI product development capability.

Founded: The founding date of the partner company is not specified. However, the focus on AI, agentic workflows, and LLMs suggests they are a forward-thinking organization at the forefront of technological innovation.

Team Structure:

• The role will likely involve leading a multidisciplinary team composed of individuals from strategy, design, and engineering backgrounds.

• Reporting structure is not explicitly detailed but as a Director, the role would likely report to a VP of Product, CTO, or a senior executive overseeing product strategy and AI initiatives.

• Cross-functional collaboration is a cornerstone of this role, requiring close partnerships with Design, Engineering, Program Delivery, Marketing, and Client Partnership teams. Methodology:

• Data Analysis & Insights: Emphasis on using data to inform AI product strategy, measure performance, and identify opportunities for optimization. This includes analyzing user behavior, market trends, and AI model performance.

• Workflow Planning & Optimization: Core to the role is designing and optimizing AI agent workflows to enhance efficiency, user experience, and business outcomes.

• Automation & Efficiency: A key driver is leveraging AI to automate complex processes and drive operational efficiency for clients.

Company Website: https://jobgether.com/ (Jobgether's website, as the application is processed through their platform. The partner company's specific website is not provided.)

📝 Enhancement Note: The partner company is positioned as an innovator in AI solutions, likely operating in the consulting or digital transformation space. The culture is expected to be fast-paced, collaborative, and focused on leveraging cutting-edge AI technologies to solve client problems.

📈 Career & Growth Analysis

Operations Career Level: This role is at a senior leadership level, a "Director" position, signifying significant responsibility for strategy, team leadership, and client impact within the AI product domain. It requires a blend of deep technical understanding of AI, strategic product vision, and strong business acumen.

Reporting Structure: As a Director, you would typically report to a Vice President or Senior Director level executive, such as a VP of Product Management, Head of AI, or Chief Product Officer. You will lead teams of product managers, strategists, and potentially liaise directly with engineering and design leads.

Operations Impact: The impact of this role is substantial, directly influencing the digital transformation and AI strategy of client organizations. Success means architecting and launching AI-powered products that drive significant revenue growth, operational efficiencies, and enhanced customer experiences for clients. This role contributes to the strategic direction of AI adoption within client businesses.

Growth Opportunities:

• Leadership Advancement: Potential to move into VP-level roles or executive positions overseeing larger product portfolios or broader AI strategy functions within the partner company or client organizations.

• Specialization Deepening: Opportunity to become a recognized expert in specific AI domains like agentic workflows, LLM applications, or AI governance, leading to specialized consulting or product leadership roles.

• Strategic Influence: Grow influence by shaping the AI product vision and strategy for high-profile clients and contributing to the overall innovation agenda of the partner company.

• Mentorship & Team Building: Develop leadership skills by mentoring junior product professionals and building high-performing, multidisciplinary AI product teams.

📝 Enhancement Note: This role offers significant career progression, moving from strategic execution to broader leadership and specialization within the rapidly evolving AI product landscape. The client-facing aspect also provides opportunities for impact and visibility.

🌐 Work Environment

Office Type: The position is fully remote within the United States, meaning there is no central office requirement. This offers maximum flexibility in terms of work location.

Office Location(s): Remote (United States). This means candidates can be based anywhere within the US, allowing for a distributed team structure.

Workspace Context:

• Collaborative Environment: Despite being remote, the role emphasizes close collaboration with multidisciplinary teams. Expect regular virtual meetings, workshops, and digital collaboration tools to facilitate teamwork.

• Operations Tools & Technology: Access to advanced AI tools, cloud platforms (Google Cloud, Vertex AI), LLM ecosystems (Gemini, Claude, OpenAI, Copilot), and standard project management and communication software will be essential.

• Team Interaction: Opportunities for interaction will primarily be through virtual channels, including video conferencing, instant messaging, and collaborative document platforms. Emphasis is placed on clear communication and proactive engagement to maintain team cohesion and drive progress.

Work Schedule: A standard full-time schedule is expected (approximately 40 hours per week), but the remote nature and client-facing responsibilities may necessitate flexibility to accommodate different time zones and client demands. Proactive time management and communication will be key.

📝 Enhancement Note: The fully remote setup requires strong self-discipline and communication skills. The "collaborative environment" will be maintained through effective use of digital tools and proactive engagement from all team members.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether AI): Your application will be processed by Jobgether's AI system to ensure it meets core requirements. Top-fitting candidates will be shortlisted.

• Hiring Company Review: The shortlisted candidates' profiles are shared with the partner company's internal hiring team for further assessment.

• Interviews (Multiple Rounds): Expect a series of interviews with various stakeholders, including potential peers, hiring managers, and senior leadership. These will likely cover:

  • Strategic Thinking & AI Expertise: Discussions on AI product strategy, agentic workflows, LLM applications, and your approach to translating business needs into AI solutions.
  • Product Management & Lifecycle: Deep dives into your experience managing complex digital products from conception to launch and iteration.
  • Client Engagement & Consulting Skills: Scenarios and questions assessing your ability to advise senior clients, manage expectations, and build trusted relationships.
  • Leadership & Team Management: Evaluation of your experience leading multidisciplinary teams, fostering collaboration, and driving results in a fast-paced environment.
  • Technical Aptitude: Assessment of your understanding of AI technologies, cloud ecosystems, and deterministic vs. probabilistic systems.

• Case Study/Presentation: You may be asked to present a case study from your portfolio or tackle a hypothetical problem related to AI product strategy, demonstrating your problem-solving, communication, and strategic planning skills.

• Final Round: Likely involves senior leadership for final assessment of fit and strategic alignment.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your most impactful projects that best demonstrate your experience in AI product strategy, digital product leadership, and client advisory.

• Highlight AI & LLM Application: Ensure your selected projects clearly showcase your practical experience with modern AI technologies, including agentic design, LLMs (mentioning specific platforms if applicable), and workflow transformation.

• Quantify Impact: For each project, clearly articulate the business problem, your strategic approach, your specific role and contributions, the technologies used, and the measurable outcomes (e.g., revenue impact, efficiency gains, user adoption rates). Use data and metrics wherever possible.

• Showcase Full Lifecycle: Demonstrate your ability to manage products from discovery and research through to validation, development, launch, and post-launch optimization.

• Client Focus: If applicable, highlight projects where you acted as a consultant or trusted advisor, showcasing your ability to build relationships and deliver strategic value to clients.

• Storytelling: Frame your portfolio pieces as compelling narratives. Clearly explain the context, the challenge, your solution, and the impact.

Challenge Preparation:

• AI Strategy Scenarios: Be prepared to discuss how you would approach developing an AI product strategy for a given business challenge, considering ethical implications, technical feasibility, and market opportunities.

• Agentic Workflow Design: Practice articulating how you would design an AI agent workflow to automate a specific business process or enhance a customer interaction.

• LLM Use Cases: Be ready to discuss practical applications of LLMs (e.g., Gemini, Claude, OpenAI) for enterprise solutions or consumer products.

• Problem-Solving Frameworks: Prepare to walk through your problem-solving process for complex product challenges, emphasizing your analytical skills and ability to synthesize information.

• Stakeholder Communication: Practice explaining complex AI concepts and product strategies to non-technical audiences, focusing on clarity and impact.

📝 Enhancement Note: The application process emphasizes AI capabilities and strategic client advisory. Candidates should prepare to demonstrate practical application of AI, not just theoretical knowledge, and articulate their impact through a well-curated portfolio and clear communication.

🛠 Tools & Technology Stack

Primary Tools:

• AI & LLM Platforms: Google Cloud (Vertex AI), Gemini Enterprise Agents, Anthropic Claude, OpenAI, Microsoft Copilot. Hands-on experience or strong working knowledge is essential.

• Product Management Platforms: Tools for roadmapping, backlog management, and user story creation (e.g., Jira, Asana, Productboard).

• Collaboration Tools: Slack, Microsoft Teams, Zoom, Google Workspace for communication and virtual collaboration.

Analytics & Reporting:

• Data Analysis Tools: Proficiency in analyzing data to inform product strategy and measure performance (e.g., SQL, Python for data analysis, BI tools like Tableau, Power BI).

• A/B Testing & Experimentation: Experience with platforms or methodologies for testing AI features and product iterations.

• Dashboarding: Ability to create and interpret dashboards to track key product metrics and AI performance indicators.

CRM & Automation:

• CRM Systems: Understanding of how AI products integrate with or leverage CRM data (e.g., Salesforce).

• Workflow Automation: Experience with or understanding of workflow automation principles, particularly as they apply to designing agentic AI systems.

• Cloud Infrastructure: Familiarity with cloud environments (AWS, Azure, GCP) is beneficial, given the mention of Google Cloud.

📝 Enhancement Note: The technology stack is heavily focused on AI and LLM platforms, with a strong emphasis on cloud-based solutions. Candidates should be prepared to demonstrate practical experience with these specific technologies.

👥 Team Culture & Values

Operations Values:

• Innovation & Forward-Thinking: A strong drive to explore and implement cutting-edge AI technologies to create novel solutions.

• Client-Centricity: A commitment to deeply understanding client needs and delivering impactful, tailored AI solutions.

• Collaboration & Teamwork: Emphasis on working effectively across diverse disciplines to achieve common goals.

• Data-Driven Decision Making: Utilizing data and analytics to guide strategy, measure success, and drive continuous improvement in AI products.

• Agility & Adaptability: Comfort operating in fast-paced, evolving environments and iterating quickly on strategies and solutions.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where strategy, design, engineering, and client-facing teams work in lockstep. Proactive communication and shared ownership are key.

• Process Review & Feedback: A culture that encourages open feedback and continuous improvement of processes, especially in the rapidly evolving field of AI product development.

• Knowledge Sharing: An environment where team members are encouraged to share insights, best practices, and learnings related to AI technologies and product development methodologies.

📝 Enhancement Note: The culture values innovation, client success, and collaborative problem-solving, all within the dynamic context of AI development. Candidates should demonstrate a proactive, team-oriented approach and a passion for pushing technological boundaries.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI, LLMs, and agentic technologies requires continuous learning and adaptability.

• Translating Ambiguity into Action: Working with nascent AI technologies and complex client challenges often involves significant ambiguity, requiring strong problem-solving and strategic clarity.

• Balancing Innovation with Practicality: The challenge of moving AI concepts from experimentation to scalable, real-world production solutions for clients.

• Cross-Functional Alignment: Ensuring seamless collaboration and shared understanding across diverse teams (strategy, design, engineering) with different priorities and technical backgrounds.

• Client Education & Adoption: Educating senior stakeholders on the capabilities and potential of AI, and driving adoption of new AI-powered solutions.

Learning & Development Opportunities:

• Stay at the Forefront of AI: Direct exposure to and hands-on experience with the latest LLM technologies, agentic frameworks, and cloud AI services.

• Strategic Leadership Development: Opportunities to hone strategic planning, client advisory, and leadership skills by tackling high-impact digital transformation projects.

• Industry Conferences & Certifications: Potential for the partner company to support attendance at key AI and product management conferences, or relevant certifications.

• Mentorship: Access to senior leaders and experts within the partner company or client organizations for guidance and professional development.

📝 Enhancement Note: This role offers significant growth potential by placing you at the cutting edge of AI product development, tackling complex challenges with ample learning opportunities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you translated a complex business problem into a compelling AI product strategy. What was your process, and what was the outcome?" (Focus on your strategic thinking, problem-solving, and ability to articulate AI value.)

• "How would you approach designing an end-to-end AI agent workflow for [specific business scenario, e.g., customer support, internal operations]? What are the key considerations for deterministic vs. probabilistic systems?" (Showcase your understanding of agentic design and system characteristics.)

• "You're tasked with evaluating the feasibility of a new AI feature using LLMs. Walk me through your process, including how you'd involve engineering and design teams." (Demonstrate your product lifecycle management and cross-functional collaboration skills.) Company & Culture Questions:

• "What excites you most about working at the intersection of AI, product strategy, and digital transformation?" (Express your passion and alignment with the role's core focus.)

• "How do you foster a collaborative environment within a multidisciplinary, remote team focused on cutting-edge technology?" (Highlight your leadership and team-building approach.)

• "Describe a situation where you had to influence senior stakeholders to adopt a new AI-driven product or strategy. How did you build consensus and demonstrate value?" (Showcase your communication, storytelling, and client advisory skills.) Portfolio Presentation Strategy:

• Select Key Projects: Choose 2-3 projects that most strongly align with AI product strategy, LLM application, and client advisory.

• Structure Your Narrative: For each project, clearly articulate:

  • The Challenge: The business problem or user need.
  • Your Role & Strategy: Your specific contributions and the strategic approach you took.
  • The Solution: How AI, LLMs, or agentic workflows were applied.
  • The Impact: Quantifiable results and business outcomes.

• Focus on Metrics: Be prepared to discuss key performance indicators (KPIs) and demonstrate ROI for your projects.

• Technical Depth: Be ready to briefly explain the technical aspects of your projects, especially regarding AI and LLM implementation.

• Practice Your Pitch: Rehearse your presentation to ensure it's concise, engaging, and effectively communicates your capabilities within the allotted time.

📝 Enhancement Note: Preparation should focus on demonstrating practical AI experience, strategic thinking, client management, and strong communication skills. Be ready to articulate your impact with data and present your portfolio compellingly.

📌 Application Steps

To apply for this AI Product Strategy position:

• Submit your application through the provided Jobgether link.

• Customize Your Resume: Tailor your resume to highlight experience with AI product strategy, LLMs, agentic workflows, product lifecycle management, and client consulting. Use keywords from the job description.

• Prepare Your Portfolio: Select and organize your most relevant projects that showcase your AI product leadership, focusing on quantifiable achievements and practical application of technologies like LLMs.

• Research the Partner Company: While details are limited, research Jobgether's mission and the types of companies they partner with to infer the likely focus and culture of the hiring organization. Understand their approach to AI and digital transformation.

• Practice Interview Responses: Prepare for questions related to AI strategy, product management, leadership, and client engagement, using the STAR method (Situation, Task, Action, Result) and drawing from your portfolio.

• Formulate Thoughtful Questions: Prepare insightful questions for the interviewers about the team, the company's AI vision, client engagements, and growth opportunities.

⚠️ 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.