Remote Director of Product Strategy

📍 Job Overview

Job Title: Remote Director of Product Line Management - AI Solutions

Company: [Partner Company via Jobgether]

Location: Paris, Ile-de-France, France (Remote)

Job Type: Full-time

Category: Product Management / Revenue Operations (GTM Strategy)

Date Posted: April 24, 2026

Experience Level: 10+ Years (Director Level)

Remote Status: Fully Remote

🚀 Role Summary

• Drive the strategic vision and roadmap execution for a portfolio of AI solutions, focusing on network and security management.

• Lead and mentor a team of Product Managers, fostering a culture of innovation and efficient product delivery.

• Collaborate cross-functionally with Engineering, Marketing, and Sales to ensure successful product development and go-to-market strategies.

• Directly influence customer experience and the overall success of AI integration within product offerings.

• Analyze product performance data to iteratively refine strategies and maximize customer value.

📝 Enhancement Note: While the job title is "Director of Product Line Management," the responsibilities heavily emphasize GTM strategy, customer engagement, and product performance analysis, aligning it closely with Revenue Operations functions, particularly in driving market adoption and revenue for AI solutions. The "Remote Director of Product Strategy" in the input description has been adjusted to "Remote Director of Product Line Management - AI Solutions" to better reflect the detailed responsibilities and AI focus. The location has been refined to Paris, France, based on derived location data, but the role is explicitly remote.

📈 Primary Responsibilities

• Product Strategy & Roadmap: Define, own, and execute the end-to-end product strategy and roadmap for the partner's AI solutions portfolio, ensuring alignment with market needs and business objectives.

• Team Leadership & Mentorship: Lead, mentor, and develop a team of product managers, guiding them through the entire product lifecycle from ideation to launch and iteration.

• Cross-Functional Collaboration: Partner closely with Engineering and AI teams to deliver robust, end-to-end AI capabilities and innovative smart tools.

• Go-to-Market (GTM) Strategy: Drive the development and execution of comprehensive go-to-market strategies for AI offerings, working in tandem with Marketing and Sales teams.

• Customer Engagement & Validation: Actively engage with customers to gather critical requirements, validate value propositions, and gather feedback for product improvement.

• Sales Enablement Support: Support key customer opportunities by collaborating with Sales and Solutions Engineers (SEs) to articulate product value and technical capabilities.

• Performance Analysis & Iteration: Continuously analyze product performance metrics, customer feedback, and market trends to refine product strategy and drive iterative improvements.

• User Experience Cohesion: Work with cross-functional leaders to ensure a coherent and exceptional user experience across all product touchpoints.

📝 Enhancement Note: The responsibilities clearly indicate a strategic leadership role with a strong emphasis on execution, cross-functional alignment, and market impact, typical of a senior Product Management role with GTM ownership. This aligns with Revenue Operations principles of ensuring product-market fit and driving revenue through effective product strategy and sales enablement.

🎓 Skills & Qualifications

Education:

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

Experience:

• 10+ years of progressive experience in product management, with a significant portion at a Director level or equivalent, managing a product line.

• Proven track record of successfully defining, delivering, and launching complex technology products, specifically AI solutions.

• Demonstrated experience in driving product strategy and execution from inception through end-of-life.

Required Skills:

• Product Strategy & Vision: Expertise in defining overarching product strategies and long-term roadmaps.

• AI & ML Domain Knowledge: Deep understanding of AI/ML principles, applications, and the product development lifecycle for AI solutions.

• Product Lifecycle Management: Comprehensive experience managing products through all phases of their lifecycle.

• Go-to-Market (GTM) Strategy: Proven ability to craft and execute effective GTM plans for technology products.

• Cross-Functional Leadership: Strong collaboration and influencing skills across Engineering, Sales, Marketing, and other business units.

• Customer Centricity: Ability to deeply understand customer needs and translate them into product requirements and value propositions.

• Data Analysis & Metrics: Proficiency in analyzing product performance data, identifying key metrics, and driving strategy based on insights.

Preferred Skills:

• Observability, Telemetry, Monitoring: Background in these specific technical domains is highly advantageous.

• Metadata-Centric Architectures: Familiarity with designing and managing systems based on metadata.

• Data Modeling: Experience in creating robust data models for complex systems.

• Virtualization Technologies: Knowledge of virtualization and virtualized infrastructures.

• Agile Methodologies: Experience working within Agile development frameworks.

• Team Leadership & Mentorship: Demonstrated ability to lead, mentor, and grow product management teams.

📝 Enhancement Note: The requirements emphasize a blend of strategic product leadership and specific technical domain knowledge (AI, observability, virtualization), suggesting a need for an individual who can bridge technical depth with market-facing strategy. The "10+" years of experience aligns with a Director-level role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Strategy Case Studies: Showcase examples of developing and executing product strategies for technology products, preferably AI-driven, demonstrating clear objectives, execution plans, and measurable outcomes.

• Roadmap Development Examples: Provide visual representations or detailed descriptions of product roadmaps created, highlighting prioritization frameworks, stakeholder alignment, and adaptability.

• Go-to-Market (GTM) Plan Outlines: Present simplified GTM plans for previous product launches, emphasizing target audience identification, channel strategy, and key messaging.

• Customer Engagement Documentation: Illustrate how customer feedback and requirements were gathered, analyzed, and integrated into product development processes.

Process Documentation:

• Product Development Workflow: Document the typical process followed for managing a product from ideation through launch, including key stages, decision points, and cross-functional handoffs.

• AI Solution Development Process: Detail specific methodologies or frameworks used for developing and iterating on AI/ML-powered products, including data strategy and model validation.

• Performance Monitoring & Improvement: Outline the processes for tracking product performance post-launch, including metrics, reporting mechanisms, and feedback loops for continuous improvement.

📝 Enhancement Note: For a Director-level Product role, a portfolio demonstrating strategic thinking, execution capabilities, and a structured approach to product development and GTM is essential. The focus on AI solutions and domain-specific knowledge will be key differentiators.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Salary & Bonus: A strong base salary complemented by performance-based bonus opportunities.

• Career Growth & Leadership Development: Opportunities for advancement within the organization and structured leadership development programs.

• Flexible Work Environment: Flexible work hours and fully remote working conditions to support work-life balance.

• Comprehensive Health & Wellness: A robust benefits package covering health, dental, vision, and other wellness initiatives.

• Inclusive Company Culture: An environment that values diversity, inclusion, and employee well-being.

• Professional Development: Access to resources, training, and potentially conferences for continuous learning and skill enhancement.

• Impactful Work: The chance to engage in meaningful work that directly impacts top organizations and contributes to cutting-edge AI solutions.

Working Hours:

• Standard full-time hours (approximately 40 hours per week) with flexibility. Given the remote nature and international collaboration, some overlap with core business hours for key meetings and stakeholder engagement will be necessary.

📝 Enhancement Note: Salary ranges are estimates based on publicly available data for Director-level Product Management roles in France, considering the AI specialization. The benefits listed are directly pulled from the provided text, tailored for relevance to operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI Solutions, Observability, Telemetry, Monitoring, Virtualization)

Company Size: [Assumed to be growing significantly, likely Seed to Series B/C based on the need for a Director and the "partner company" model via Jobgether.]

Founded: [Not specified, but implied to be a relatively modern tech company focused on AI and related domains.]

Team Structure:

• Product Management: Will initially be an individual contributor with a clear path to leading a team of product managers.

• Cross-Functional Collaboration: Works closely with Engineering (including AI/ML specialists), Sales, Marketing, and potentially Customer Success teams.

• Reporting: Likely reports to a VP of Product, Chief Product Officer (CPO), or a senior executive overseeing product strategy.

Methodology:

• Data-Driven Decision Making: Emphasis on analyzing product performance, market data, and customer feedback to inform strategy and roadmap decisions.

• Agile Development Practices: Likely employs Agile methodologies for iterative product development and rapid deployment.

• Customer-Centric Innovation: Focus on understanding customer pain points and developing AI-powered solutions that deliver tangible value.

Company Website: [Partner Company's Website - Not directly provided, but Jobgether's is jobgether.com]

📝 Enhancement Note: The company context is inferred based on the job description's focus on AI, observability, and the "partner company" model through Jobgether, suggesting a dynamic, growth-oriented tech startup or scale-up.

📈 Career & Growth Analysis

Operations Career Level: Director, Product Line Management. This role sits at a senior leadership level, responsible for a significant product portfolio's strategic direction and market success. It bridges strategic vision with operational execution, influencing revenue generation through product adoption and market fit.

Reporting Structure: The role will initially be an individual contributor but is slated to quickly transition into a leadership position, managing a team of product managers. This indicates a fast-paced environment with clear potential for direct reports and team expansion.

Operations Impact: The influence is direct on revenue through defining and driving AI solutions that meet market needs, enabling sales with strong value propositions, and ensuring products are competitive and adopted by customers. Success in this role directly correlates with the market penetration and revenue generated by the AI product suite.

Growth Opportunities:

• Team Expansion & Leadership: Direct opportunity to build and lead a high-performing product management team, developing leadership and people management skills.

• Strategic Portfolio Ownership: Deepen expertise in AI product strategy and gain experience managing a complex, high-impact product line.

• Industry Influence: Become an expert and thought leader in AI solutions within specific domains like observability and network security.

• Executive Advancement: Potential to grow into VP-level roles or CPO positions within the company or at other organizations, leveraging a strong track record of driving AI product success.

📝 Enhancement Note: This role offers a significant growth trajectory from an individual contributor with leadership potential to a full-fledged team leader, providing a clear path for career advancement in product strategy and AI product management.

🌐 Work Environment

Office Type: Fully Remote. This role operates entirely outside a traditional office setting, emphasizing asynchronous communication and digital collaboration tools.

Office Location(s): While the derived location is Paris, France, the role is explicitly remote, meaning candidates can work from any location. However, there might be a preference for candidates within specific time zones (e.g., European time zones) for easier collaboration.

Workspace Context:

• Digital Collaboration: Success relies on proficiency with digital collaboration tools (Slack, Teams, Zoom, etc.) for communication and team alignment.

• Asynchronous Workflows: Expect to manage tasks and collaborate asynchronously where possible, documenting thoroughly to ensure clarity across distributed teams.

• Focus on Output: The environment will likely be results-oriented, prioritizing the successful delivery of product strategy and roadmap execution over physical presence.

Work Schedule:

• Standard full-time (approx. 40 hours/week) with flexibility. While remote, maintaining consistent availability for critical team meetings and cross-functional syncs, especially within European business hours, will be important for effective collaboration.

📝 Enhancement Note: The fully remote nature necessitates strong self-discipline, excellent communication skills, and proficiency with modern remote collaboration tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio by Jobgether's AI and then by the hiring company's internal team to assess core qualifications and fit.

• Hiring Manager Interview: A discussion focused on your product strategy experience, leadership capabilities, and understanding of AI solutions. Be prepared to discuss your approach to roadmap development and team mentorship.

• Cross-Functional Interviews: Interviews with key stakeholders from Engineering, Marketing, and Sales to evaluate collaboration skills, technical understanding, and GTM strategy experience.

• Case Study/Presentation: You may be asked to present a detailed product strategy, GTM plan, or a solution to a specific AI-related challenge. This is where your portfolio will be heavily leveraged.

• Executive Interview: A final conversation with senior leadership to assess strategic alignment, cultural fit, and long-term vision.

Portfolio Review Tips:

• Highlight AI & GTM Successes: Focus on case studies demonstrating your ability to define and drive AI product strategy and execute successful go-to-market plans. Quantify impact with metrics.

• Showcase Leadership Potential: Include examples of how you've mentored or led teams, even if informally, and how you've fostered cross-functional collaboration.

• Structure for Clarity: Organize your portfolio logically, perhaps by product lifecycle phase or by key responsibility area. Use clear headings and summaries.

• Demonstrate Process Thinking: Illustrate your structured approach to product development, customer engagement, and performance analysis.

• Tailor to the Role: Emphasize experience in observability, telemetry, monitoring, and virtualization if applicable, as these are specific domain requirements.

Challenge Preparation:

• AI Product Strategy Deep Dive: Be ready to discuss current trends in AI, challenges in AI product adoption, and how you would approach building a competitive AI solution roadmap.

• GTM Strategy Formulation: Prepare to outline how you would approach launching a new AI feature or product, considering target markets, messaging, and sales enablement.

• Team Leadership Scenarios: Anticipate questions about managing product managers, resolving conflicts, and fostering a high-performance team culture.

📝 Enhancement Note: The emphasis on a portfolio review and potential case study highlights the need for candidates to demonstrate not just experience but also their strategic thinking and execution capabilities in a tangible format.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Asana, Trello (for roadmap, backlog, and task management).

• Collaboration Suites: Microsoft Teams, Slack, Google Workspace (for communication and document sharing).

• Roadmapping Tools: Aha!, Productboard, Roadmunk (may be used for strategic planning and visualization).

Analytics & Reporting:

• Product Analytics: Amplitude, Mixpanel, Pendo (for user behavior analysis and feature adoption tracking).

• Business Intelligence (BI) Tools: Tableau, Power BI, Looker (for broader business performance dashboards and reporting).

• CRM Systems: Salesforce, HubSpot (for customer data, sales pipeline, and GTM insights).

CRM & Automation:

• AI/ML Platforms: Familiarity with cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML) is a plus.

• Data Warehousing/Lakes: Snowflake, Databricks, Redshift (for managing and querying large datasets).

• Integration Platforms: Zapier, Workato (for connecting various tools and automating workflows, though less direct for product management, it indicates a modern tech stack).

📝 Enhancement Note: While the role is product-focused, a strong understanding of the tools used for analytics, CRM, and potentially AI/ML platforms is crucial for effective strategy development and cross-functional collaboration. Proficiency in collaboration and project management tools is a given for a remote leadership role.

👥 Team Culture & Values

Operations Values:

• Innovation: A commitment to pushing boundaries and developing cutting-edge AI solutions.

• Data-Driven: Decisions are rooted in data analysis, customer insights, and performance metrics.

• Collaboration: Strong emphasis on teamwork and building bridges between departments to achieve common goals.

• Customer Focus: Dedication to understanding and serving customer needs through impactful product development.

• Excellence: A pursuit of high quality in product delivery, strategy, and execution.

Collaboration Style:

• Cross-Functional Partnership: Proactive engagement with engineering, sales, and marketing to ensure alignment and shared success.

• Open Communication: Encouraging transparent and direct communication, especially vital in a remote setting.

• Feedback-Oriented: A culture that values constructive feedback for continuous improvement of both products and processes.

📝 Enhancement Note: The culture is likely fast-paced, innovative, and highly collaborative, with a strong focus on achieving measurable results through data and teamwork, which is essential for GTM success.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Strategy for Nascent AI Markets: Navigating the rapidly evolving AI landscape to define clear, defensible product strategies.

• Balancing Technical Complexity with User Needs: Translating sophisticated AI capabilities into intuitive and valuable user experiences.

• Driving Adoption of AI Solutions: Overcoming potential resistance or lack of understanding of AI technologies among target markets.

• Leading a Distributed Team: Effectively managing, motivating, and aligning a remote team towards shared goals.

• Cross-Functional Alignment: Ensuring consistent strategic direction and execution across diverse departments with potentially competing priorities.

Learning & Development Opportunities:

• AI/ML Advancements: Continuous learning on the latest AI research, techniques, and applications relevant to the product domain.

• Leadership Skills: Developing advanced people management, strategic planning, and executive communication skills.

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

• Mentorship: Potential to be mentored by senior executives or to mentor junior product managers, fostering growth in both directions.

📝 Enhancement Note: This role presents significant strategic challenges and offers substantial opportunities for professional growth in the highly sought-after field of AI product leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing a product strategy for a new AI solution. How would you incorporate market analysis, customer feedback, and competitive intelligence?"

• "Walk us through a successful go-to-market strategy you developed and executed for a complex technology product. What were the key challenges and outcomes?"

• "How do you prioritize features for a product roadmap, especially when dealing with technical debt versus new feature development for AI products?"

Company & Culture Questions:

• "What excites you most about our company's focus on AI solutions in the observability and security space?"

• "How do you foster a collaborative and innovative culture within a remote product team?"

• "Describe a time you had to influence stakeholders from different departments (e.g., Engineering, Sales) to align on a product vision. What was your approach?"

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly articulate the problem, your proposed solution (strategy/roadmap), the execution (GTM), and the measurable results (metrics).

• Quantify Impact: Use data to demonstrate the success of your initiatives – e.g., "increased adoption by X%," "achieved Y% market share," "generated $Z in new revenue."

• Highlight Leadership & Collaboration: Emphasize your role in leading teams and collaborating with various departments.

• Focus on AI Relevance: For this role, specifically highlight your experience and insights into AI product development and strategy.

• Be Prepared for Deep Dives: Anticipate questions about your specific choices, trade-offs made, and lessons learned.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, leadership, GTM expertise, and a deep understanding of AI product dynamics, backed by concrete examples from your portfolio.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link.

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience in AI product strategy, product line management, and successful go-to-market execution. Emphasize any experience in observability, telemetry, monitoring, or virtualization.

• Resume Optimization: Ensure your resume clearly articulates your director-level experience, leadership capabilities, and achievements using keywords relevant to AI product management and GTM strategy. Quantify your accomplishments where possible.

• Interview Preparation: Practice articulating your product strategy process, GTM approach, and leadership philosophy. Prepare specific examples from your portfolio to illustrate your skills and experience, especially for AI solutions.

• Company Research: Investigate the partner company's existing product offerings, their market positioning, and the competitive landscape for AI solutions in their domain. Understand Jobgether's role in the hiring process and their AI-powered matching system.

⚠️ 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.

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