Director of Product Management (Internal AI Product Strategy & Ops), Remote

📍 Job Overview

Job Title: Director of Product Management (Internal AI Product Strategy & Ops)

Company: Aledade

Location: Remote, United States

Job Type: Full Time

Category: Product Management / Operations / AI Strategy

Date Posted: 2026-06-25

Experience Level: 10+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Own and evolve the overarching internal AI strategy and operating model, defining investment priorities and retirement plans for AI capabilities.

• Drive product direction for internal knowledge and skill platforms, managing the roadmap and collaborating with engineering and data science teams for delivery.

• Establish and manage robust standards, governance, and trust frameworks in partnership with security, legal, and AI Governance Committee to ensure safe AI adoption.

• Define and track key metrics to measure the ROI and adoption of internal AI investments, informing future strategic adjustments.

• Develop and execute comprehensive adoption strategies, leveraging Learning & Development, an ambassador network, and departmental leadership to scale AI usage company-wide.

📝 Enhancement Note: This role sits at the intersection of Product Management, Operations, and cutting-edge AI technology, focusing on the internal application and scaling of AI within a large organization. The "Ops" in the title signifies a strong emphasis on operationalizing AI strategy, ensuring adoption, and managing the ongoing lifecycle of internal AI tools and platforms. The target candidate will need to blend strategic vision with a strong operational execution capability.

📈 Primary Responsibilities

• Develop and maintain the strategic roadmap for Aledade's internal AI initiatives, ensuring alignment with company-wide objectives and evolving technological landscape.

• Lead the product vision and strategy for the internal knowledge and context layer, as well as the library of reusable skills, agents, and workflows, setting clear priorities for development teams.

• Partner closely with Engineering, Data Science, and other technology teams to ensure effective delivery of AI platform components and integrated workflows.

• Define, implement, and enforce AI governance policies, security protocols, and trust models in collaboration with Security, Legal, and the AI Governance Committee to enable responsible AI use.

• Design and oversee the measurement framework for internal AI investments, tracking key performance indicators (KPIs) such as adoption rates, reuse, and impact on work processes.

• Create and execute comprehensive change management and adoption strategies, including L&D programs, building and managing an ambassador network, and partnering with departmental leaders to drive widespread utilization.

• Continuously assess the effectiveness of the internal AI operating model and make data-driven recommendations for optimization, retirement of underperforming capabilities, and investment in new areas.

• Act as a key liaison between business stakeholders, technology teams, and governance bodies to ensure clear communication and alignment on AI strategy and implementation.

• Stay abreast of the latest advancements in AI, particularly in areas like AI assistants, coding agents, internal knowledge platforms, and skill ecosystems, to inform strategic decisions.

📝 Enhancement Note: The primary responsibilities highlight a critical need for strategic thinking coupled with robust operational execution. The role demands a deep understanding of AI's potential and practical application, with a significant focus on change management, governance, and demonstrating business value through metrics. This is not just about defining a strategy, but about operationalizing it for a 2,000+ employee organization.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Computer Science, Engineering, Business, Product Management, or a related field is typically expected for roles at this level, demonstrating a foundational understanding of technology and business strategy.

Experience: 12+ years of progressive experience in product management, strategic program ownership, or internal function leadership. For a Senior Director level, 15+ years with prior Director-level leadership experience is required. A proven track record of setting and sustaining company-wide capabilities over time is essential.

Required Skills:

• Strategic Planning & Execution: Ability to define long-term AI strategy, translate it into actionable plans, and oversee its sustained execution across a large organization.

• Product Management Acumen: Expertise in product lifecycle management, roadmap development, prioritization, and cross-functional team collaboration.

• Operations Management: Proven experience in managing operational models, defining processes, and driving efficiency for company-wide initiatives.

• AI Fluency: High degree of familiarity with modern AI tools, concepts, and a clear vision for their future impact on internal operations and workflows.

• Governance & Compliance: Experience working with security, legal, and governance bodies to establish and enforce policies for responsible technology adoption.

• Stakeholder Management: Exceptional ability to influence, collaborate with, and manage expectations of diverse stakeholders across different departments and leadership levels.

• Metrics & Analytics: Proficiency in defining, tracking, and analyzing key performance indicators (KPIs) to measure impact and drive data-informed decisions.

• Change Management: Demonstrated ability to drive adoption and behavioral change for new technologies and processes within a large workforce.

Preferred Skills:

• AI Assistants & Agents: Familiarity with AI assistants, coding agents, and their application in internal workflows.

• Knowledge Management Systems: Experience with internal knowledge, search platforms, or skill and plugin ecosystems.

• Platform Operations: Experience owning the operating model for internal platforms with multiple stakeholder teams.

• Responsible AI: Background in partnering with security, legal, or governance functions on responsible AI use cases.

• Healthcare/Regulated Industry: Familiarity with the healthcare sector or other regulated industries, understanding compliance and data privacy nuances.

📝 Enhancement Note: The required experience level (12-15+ years) suggests a senior leadership role demanding significant strategic impact and operational oversight. The emphasis on "sustained over time" indicates that candidates must demonstrate not just the ability to launch initiatives, but to manage their ongoing evolution and success. Fluency with AI is paramount, but it must be paired with a strong understanding of how to operationalize it within a complex business environment, especially in a regulated industry like healthcare.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Program Ownership: Showcase examples of owning and successfully scaling a significant strategic program or internal function across an entire organization, detailing the lifecycle from conception to sustained operation.

• AI Strategy & Roadmap Development: Present instances where you defined a clear AI product strategy and roadmap, including prioritization frameworks and stakeholder buy-in processes.

• Operational Model Design: Include case studies demonstrating the design and implementation of operating models for complex internal platforms or capabilities, highlighting efficiency gains and scalability.

• Governance Framework Implementation: Provide evidence of establishing and managing governance, security, or compliance frameworks for technology adoption, particularly with AI or in regulated environments.

• Metrics & ROI Demonstration: Clearly articulate how you defined success metrics, tracked performance, and demonstrated the ROI of strategic initiatives or technology investments to leadership.

Process Documentation:

• Workflow Design & Optimization: Document how you have designed, optimized, and automated internal workflows to improve efficiency and effectiveness, with a focus on how AI can enhance these processes.

• Implementation & Adoption Strategies: Detail successful strategies for implementing new systems or capabilities company-wide, with a focus on driving user adoption and managing change.

• Performance Analysis & Iteration: Demonstrate your approach to analyzing the performance of implemented systems or processes, using data to inform iterative improvements and strategic adjustments.

📝 Enhancement Note: For a role focused on internal AI strategy and operations, a portfolio should clearly demonstrate a candidate's ability to strategize, operationalize, and measure impact. Case studies should emphasize how they've scaled initiatives, managed complex cross-functional dependencies, and navigated governance challenges, particularly in the context of AI and potentially within a regulated industry.

💵 Compensation & Benefits

Salary Range: Given the Director/Senior Director level, 12-15+ years of experience, and the specialized nature of AI Product Strategy & Operations in a remote US setting, a competitive salary range is expected. Based on industry benchmarks and location (remote US), this role could range from $180,000 to $260,000+ annually. This range can vary based on the candidate's specific experience, qualifications, and the final determination of Director vs. Senior Director level.

Benefits:

• Comprehensive Health Coverage: Health, dental, and vision insurance with employer contribution up to 80% for employees, dependents, and domestic partners.

• Generous Time Off: 21 days of Paid Time Off (PTO) in the first year, plus two paid volunteer days and 11 paid holidays, promoting work-life balance.

• Extended Leave: 12 weeks of paid parental leave for all new parents, supporting family needs.

• Long-Term Incentives: Six weeks paid sabbatical after six years of service, recognizing long-term commitment.

• Professional Development: Educational Assistant Program and Clinical Employee Reimbursement Program to support continuous learning and skill enhancement.

• Retirement Savings: 401(k) plan with up to a 4% company match, aiding long-term financial planning.

• Equity: Stock options, offering potential for significant long-term financial growth tied to company success.

• Flexibility: Flexible work schedules and the ability to work remotely are standard offerings for many roles.

Working Hours: The role is designated as Full Time, typically implying a standard 40-hour work week. However, Aledade offers flexible work schedules, allowing for adaptability in managing operational rhythms and strategic planning, especially crucial for a remote role involving cross-functional collaboration across different time zones.

📝 Enhancement Note: The salary estimate is based on data from similar Director/Senior Director level roles in Product Management and Operations within the US tech/healthcare sectors, considering the specialized focus on AI and remote work. Benefits are comprehensive and reflect a company that invests in employee well-being and long-term engagement, which is attractive for senior operations and product leaders.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology (specifically Value-Based Care enablement). Aledade operates within a rapidly evolving and highly regulated sector. The company's focus on transforming value-based care through AI means it's at the forefront of innovation, requiring a strategic approach to technology adoption and operational efficiency to navigate industry complexities and drive better patient outcomes.

Company Size: Aledade is a significant player, employing over 2,000 individuals. This large size necessitates robust, scalable, and standardized internal processes and platforms, making the role of an Internal AI Product Strategy & Operations Director crucial for ensuring consistency and efficiency across the workforce.

Founded: Founded in 2014, Aledade has a history of growth and innovation, establishing itself as a leader in value-based care. This implies a culture that has evolved from a startup mentality to a more structured, yet still agile, growth-stage organization.

Team Structure:

• The Director of Internal AI Product Strategy & Ops will likely lead a dedicated team or function focused on internal AI enablement, working closely with various cross-functional teams.

• Reporting structure will likely be within a Product or Operations leadership umbrella, with direct oversight from a VP or equivalent executive.

• Collaboration is key, involving close partnerships with Engineering, Data Science, Legal, Security, Learning & Development, and various business units to ensure AI strategies are aligned, implemented effectively, and adopted successfully. Methodology:

• Data-Driven Decision Making: Aledade emphasizes using data to inform strategic decisions, measure impact, and drive improvements, a core requirement for this role in evaluating AI investments.

• Agile & Iterative Development: While not explicitly stated for this role, the AI and tech focus suggests an agile or iterative approach to product development and operational improvements.

• Cross-Functional Collaboration: Success hinges on effective collaboration across diverse teams, requiring strong communication and partnership skills.

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

📝 Enhancement Note: Aledade's positioning as a leader in value-based care, combined with its significant investment in AI, suggests a dynamic environment that values innovation, data-driven insights, and operational excellence. The scale of the organization (2,000+ employees) means that the impact of this role will be broad, requiring strong leadership and change management capabilities.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a senior leadership level, likely Director or Senior Director. It involves owning a critical, company-wide strategic function – the internal AI operating model. The scope extends beyond a single product or team to encompass how thousands of employees interact with and leverage AI, making it a high-impact, high-visibility position. This level demands strategic foresight, operational rigor, and the ability to drive significant organizational change.

Reporting Structure: The Director will likely report to a VP or C-suite executive overseeing Product, Technology, or Operations. They will collaborate extensively with peers in Engineering, Data Science, Legal, Security, and business unit leaders. This structure provides significant influence and requires strong executive presence and communication skills.

Operations Impact: The operations impact of this role is profound. By successfully scaling AI capabilities internally, this Director will directly influence:

• Employee Productivity: Streamlining workflows, automating tasks, and providing intelligent assistance to enhance individual and team output.

• Operational Efficiency: Reducing costs, improving process cycle times, and optimizing resource allocation through AI-driven insights and automation.

• Data-Driven Decision Making: Empowering employees with better access to information and analytical tools, leading to more informed strategic choices.

• Innovation & Agility: Fostering a culture that can quickly adapt to new AI technologies and integrate them into business operations.

• Risk Mitigation: Ensuring AI adoption is safe, secure, and compliant through robust governance.

Growth Opportunities:

• Executive Leadership: Successful tenure in this role can pave the way for executive-level positions in Product, Operations, or AI Strategy, potentially VP or Chief Officer roles.

• Specialization: Deepening expertise in AI product management, AI governance, or scaling technology platforms within a regulated industry.

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

• Industry Influence: Contributing to the broader discourse on internal AI adoption and responsible AI practices within the healthcare sector.

📝 Enhancement Note: This role offers a significant opportunity for career advancement due to its strategic importance and the high demand for expertise in AI operations. The ability to demonstrate successful scaling and governance of AI in a regulated industry like healthcare is a highly valuable differentiator for future leadership roles.

🌐 Work Environment

Office Type: Fully Remote. This means the primary workspace will be a home office or a chosen remote location. Aledade supports a remote-first culture, emphasizing asynchronous communication and digital collaboration tools.

Office Location(s): While the role is remote across the United States, Aledade has a presence in various locations, including its headquarters in Washington D.C. This distributed nature requires a strong emphasis on virtual collaboration and clear communication protocols.

Workspace Context:

• Collaborative Environment: Despite being remote, the company fosters collaboration through virtual channels, regular team meetings, and dedicated communication platforms. Expect to engage in frequent video calls, shared document editing, and asynchronous discussions.

• Operations Tools & Technology: The role will heavily rely on a suite of digital tools for communication (e.g., Slack, Teams), project management (e.g., Jira, Asana), documentation (e.g., Confluence, Notion), and AI platforms. Access to and proficiency with these tools will be critical.

• Team Interaction: Opportunities for interaction will be primarily virtual. This includes team syncs, cross-functional project meetings, virtual town halls, and informal virtual coffee chats to build rapport and ensure alignment.

Work Schedule: The standard work schedule is 40 hours per week. However, Aledade offers flexible work schedules, allowing employees to adapt their hours to best suit their productivity and work-life balance, provided core responsibilities are met and collaboration needs are addressed. This flexibility is particularly beneficial for remote roles that often involve managing different time zones.

📝 Enhancement Note: The remote-first nature of this role means that candidates must be highly self-motivated, organized, and adept at virtual communication. Success will depend on leveraging digital tools effectively and proactively engaging with colleagues and stakeholders across the organization.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess basic qualifications, experience, and cultural fit. Be prepared to discuss your experience with AI strategy, product management, and operational scaling.

• Hiring Manager Interview: A more in-depth discussion focusing on your strategic thinking, operational leadership experience, and understanding of AI trends. Expect behavioral questions related to past challenges and successes.

• Panel Interviews: You will likely meet with key stakeholders, including engineering leads, data science representatives, and potentially legal/governance stakeholders. These interviews will assess your technical understanding, collaboration skills, and ability to navigate complex cross-functional dynamics.

• Case Study/Presentation: A common element for senior roles. You may be asked to prepare a presentation on a specific AI strategy or operational challenge, showcasing your approach to problem-solving, strategic planning, and communication. This is where your portfolio can be heavily leveraged.

• Executive Interview: A final discussion with a senior executive (e.g., VP, C-suite) to evaluate your executive presence, strategic alignment, and overall fit for the company’s vision.

Portfolio Review Tips:

• Focus on Impact: For each project or initiative in your portfolio, clearly articulate the problem statement, your role, the solution implemented, and most importantly, the quantifiable results and business impact (e.g., efficiency gains, cost savings, adoption rates).

• Showcase Strategy & Operations: Highlight examples where you've both developed a strategic vision and successfully operationalized it. For this role, emphasize AI strategy, operating model design, and scaling capabilities.

• Demonstrate Governance Experience: If possible, include examples of how you've worked with legal, security, or compliance teams to implement frameworks or manage risks, especially if related to technology or data.

• Tailor to Aledade: Research Aledade's mission, values, and recent AI initiatives. Frame your portfolio examples to demonstrate how your experience aligns with their specific needs and industry context.

• Structure for Clarity: Organize your portfolio logically, perhaps by theme (e.g., AI Strategy, Operational Scaling, Governance) or by initiative. Use clear, concise language and compelling visuals where appropriate.

Challenge Preparation:

• AI Strategy & Implementation: Be ready to discuss how you would approach developing and scaling an internal AI strategy for a company like Aledade. Consider the key considerations, potential challenges, and critical success factors.

• Operationalizing AI: Prepare to outline how you would build and manage the operating model for internal AI tools, including governance, adoption, and performance measurement.

• Cross-Functional Collaboration: Think about how you would collaborate with diverse teams (Eng, Legal, L&D, Business Units) to achieve AI objectives. Practice articulating complex technical concepts in business-friendly terms.

• Metrics & ROI: Develop a framework for measuring the success of internal AI initiatives and how you would communicate ROI to executive leadership.

📝 Enhancement Note: The interview process for a Director-level role will be rigorous, assessing strategic depth, operational capability, and leadership potential. A well-curated portfolio that clearly demonstrates success in scaling initiatives, managing complex stakeholder relationships, and driving measurable outcomes, especially in AI and regulated environments, will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• AI Platforms & Frameworks: Familiarity with core AI technologies, machine learning frameworks (e.g., TensorFlow, PyTorch), and potentially Natural Language Processing (NLP) libraries. Experience with AI assistants, coding agents, and knowledge management systems is highly preferred.

• Product Management Tools: Proficiency in tools like Jira, Confluence, Asana, Aha!, or similar for roadmap planning, backlog management, and collaboration.

• Collaboration Suite: Extensive use of tools like Slack, Microsoft Teams, Zoom for communication, team coordination, and virtual meetings.

• Documentation & Knowledge Management: Experience with platforms like Notion, Confluence, or internal wikis for documenting strategies, processes, and best practices.

Analytics & Reporting:

• Business Intelligence Tools: Experience with BI platforms such as Tableau, Power BI, Looker for creating dashboards and analyzing performance metrics.

• Data Analysis Tools: Proficiency in SQL for data querying and potentially Python/R for more advanced data analysis and statistical modeling.

• Performance Tracking Tools: Familiarity with tools or methodologies for tracking user adoption, engagement, and ROI of internal platforms and AI initiatives.

CRM & Automation:

• CRM Systems: While the primary focus is internal AI, understanding how internal tools integrate with or complement CRM systems (e.g., Salesforce) may be beneficial for context.

• Workflow Automation: Experience with process automation tools or methodologies to streamline internal operations, potentially integrating AI components.

• Integration Platforms: Understanding of how different systems connect and share data, possibly using iPaaS solutions, to ensure seamless operation of internal AI tools.

📝 Enhancement Note: While specific tools are not listed, the role's nature implies a need for deep familiarity with modern collaboration, project management, and analytics software. Crucially, expertise in AI-specific tools and platforms, including those related to AI assistants, knowledge management, and responsible AI frameworks, will be a significant differentiator.

👥 Team Culture & Values

Operations Values:

• Data-Driven Innovation: Aledade likely values a culture where data analysis is the foundation for strategic decisions and where innovation is encouraged, especially in leveraging AI to improve operations.

• Collaboration & Transparency: Given the remote-first nature and complexity of the organization, open communication, transparency in decision-making, and strong cross-functional collaboration are paramount.

• Impact & Ownership: A strong sense of ownership over critical company-wide initiatives and a focus on delivering tangible, measurable impact are expected.

• Efficiency & Scalability: A continuous drive to optimize processes, improve efficiency, and ensure that solutions are scalable to meet the needs of a growing organization.

• Responsible Technology Adoption: Commitment to ethical and responsible deployment of AI, ensuring safety, security, and compliance are integrated into all strategies.

Collaboration Style:

• Asynchronous First: Expect a collaboration style that prioritizes asynchronous communication to accommodate remote work and different time zones, supplemented by synchronous meetings for critical discussions and decision-making.

• Cross-Functional Partnership: A highly collaborative approach, working closely with engineering, data science, legal, security, L&D, and business leaders to align on strategy, drive implementation, and ensure successful adoption.

• Feedback-Oriented: A culture that encourages constructive feedback exchange to continuously improve strategies, processes, and outcomes.

• Knowledge Sharing: Emphasis on sharing insights, best practices, and learnings across teams to foster collective growth and efficiency.

📝 Enhancement Note: The company culture likely reflects a blend of a mission-driven healthcare organization with a forward-thinking technology company. Candidates should expect a collaborative, data-centric environment that values innovation, ownership, and the responsible application of technology to achieve significant business and societal impact.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Adoption at Scale: Driving widespread adoption of new AI tools and workflows across a 2,0