Remote Product Strategy and Marketing Leader

📍 Job Overview

Job Title: Remote Product Strategy and Marketing Leader

Company: Jobgether (on behalf of a partner company)

Location: Columbia (Remote)

Job Type: Full-time

Category: Product Marketing & Strategy Operations

Date Posted: 2026-04-18

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead product positioning and messaging within the social good sector, leveraging generative AI to craft compelling market narratives.

• Define and own critical go-to-market (GTM) elements including buyer personas, market sizing, packaging, and pricing strategies.

• Drive customer engagement through direct interaction to validate product value and refine market strategies.

• Collaborate closely with Product teams to influence the positioning and pricing of AI capabilities.

• Conduct comprehensive market research and analysis to inform strategic decision-making and GTM execution.

📝 Enhancement Note: This role is positioned as a strategic leadership function within product marketing, with a strong emphasis on leveraging cutting-edge AI technologies to drive impact in the social good sector. The "operations" aspect lies in the systematic definition, execution, and refinement of market strategies, pricing models, and customer engagement frameworks.

📈 Primary Responsibilities

• Develop and execute comprehensive product marketing strategies, ensuring alignment with overall business objectives and the company's social good mission.

• Become the central source of truth for buyer personas, meticulously researching and documenting target audience needs, behaviors, and pain points.

• Design and manage product packaging and pricing models, ensuring they are competitive, profitable, and aligned with customer value.

• Lead customer interviews and feedback sessions to gather insights that inform product development, positioning, and GTM strategies.

• Partner with Product Management to advocate for market needs, influencing the roadmap and feature prioritization, particularly for AI-driven capabilities.

• Conduct in-depth market research, competitive analysis, and trend forecasting to identify new opportunities and potential threats.

• Develop and refine go-to-market (GTM) plans for new product launches and feature releases, coordinating with sales, marketing, and product teams.

• Craft clear, concise, and persuasive messaging and collateral that effectively communicates product value propositions to target audiences.

• Monitor key performance indicators (KPIs) for product marketing initiatives, analyzing data to measure effectiveness and identify areas for optimization.

• Foster strong cross-functional relationships with Sales, Marketing, Product, and Engineering teams to ensure seamless execution of GTM strategies.

📝 Enhancement Note: The responsibilities highlight a blend of strategic planning, market intelligence gathering, and cross-functional execution, all critical for successful product operations and GTM leadership. The emphasis on generative AI suggests a need for innovative approaches to content creation, market analysis, and customer interaction.

🎓 Skills & Qualifications

Education:

Experience:

• 5-10 years of progressive experience in product marketing, product strategy, or a related GTM function.

• Demonstrated experience in developing and executing successful GTM strategies.

• Proven track record of defining and managing buyer personas, product packaging, and pricing models.

• Experience working with or a strong understanding of generative AI tools and their applications in marketing and product development.

Required Skills:

• Generative AI Proficiency: Practical experience or deep understanding of generative AI tools and their application in marketing narrative creation, market analysis, and product positioning.

• Product Marketing Expertise: Proven ability to develop and execute comprehensive product marketing plans, including messaging, positioning, and launch strategies.

• Market Research & Analysis: Strong analytical skills to conduct market sizing, competitive analysis, and customer research.

• Pricing & Packaging Strategy: Demonstrated experience in developing and optimizing pricing models and product packaging.

• Buyer Persona Development: Expertise in creating detailed and actionable buyer personas based on thorough research.

• Strategic Communication: Ability to translate complex technical or product information into clear, compelling, and accessible messaging for diverse audiences.

• Customer Engagement: Experience in conducting customer interviews, gathering feedback, and building strong relationships.

• Cross-functional Collaboration: Proven ability to work effectively with Product, Sales, Marketing, and Engineering teams.

Preferred Skills:

• Experience in the non-profit, social enterprise, or public sector.

• Familiarity with CRM systems (e.g., Salesforce, HubSpot) for data analysis and campaign tracking.

• Experience with marketing automation platforms (e.g., Marketo, Pardot).

• Proficiency in data visualization tools (e.g., Tableau, Power BI) for reporting and analysis.

• Experience with agile development methodologies.

📝 Enhancement Note: The emphasis on generative AI and social impact suggests a niche but growing area of expertise. Candidates should be prepared to articulate how their experience with AI tools can be specifically applied to enhance product marketing and strategy within this sector.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies in Product Marketing: Showcase a minimum of 2-3 detailed case studies demonstrating successful product launches, GTM strategies, or significant messaging improvements. Each case study should clearly outline the challenge, your strategic approach, the tools/processes used, and quantifiable results achieved.

• Persona & Pricing Examples: Include anonymized examples of buyer personas you have developed and sample pricing/packaging frameworks you have created or influenced. Highlight the research methodology and rationale behind these.

• Messaging & Content Samples: Provide examples of compelling marketing narratives, product positioning statements, or collateral you have authored.

• AI Application Examples: If possible, include examples or descriptions of how you have leveraged AI tools (generative or analytical) to enhance marketing strategies, content creation, or market insights.

Process Documentation:

• Demonstrate understanding of defining and documenting market research processes, including methodology, data sources, and analysis techniques.

• Ability to articulate and document processes for buyer persona development and ongoing refinement.

• Capability to outline and document pricing and packaging strategy development and review processes.

• Experience in documenting GTM planning and execution workflows, including cross-functional dependencies.

📝 Enhancement Note: A strong portfolio is crucial for this role. It should not only showcase past achievements but also demonstrate a structured, data-driven approach to product marketing and strategy, with a clear ability to articulate processes and outcomes. The inclusion of AI-related work is a significant differentiator.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Salary: A salary commensurate with experience and location, reflecting the specialized skills and responsibilities.

• Comprehensive Benefits Package: This typically includes health, dental, and vision insurance, potentially with options for international coverage or stipends for local healthcare.

• Personal and Professional Growth Opportunities: Access to training, conferences, certifications, and internal mentorship programs to foster skill development.

• Inclusive and Equitable Work Culture: A commitment to diversity, equity, and inclusion, fostering a supportive and respectful environment.

• Remote Work Flexibility: The ability to work from anywhere, with potential stipends for home office setup.

• Social Impact Focus: The opportunity to contribute to meaningful work in the social good sector, aligning professional goals with personal values.

• Retirement/Savings Plans: Potential for 401(k) or similar retirement savings plans, depending on the hiring company's location and structure.

Working Hours:

• Standard full-time, likely around 40 hours per week. Given the remote, international nature of the role, flexibility may be required to accommodate meetings across different time zones. The company's commitment to social good may also inspire a culture of dedication and passion that extends beyond strict hours.

📝 Enhancement Note: The salary estimate is a broad approximation. The actual offering will depend significantly on the hiring company's specific location, funding, and compensation philosophy. Benefits packages can vary widely for remote roles and international hires.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Social Impact, AI Solutions (Partner company focus)

Company Size: (Information not provided, inferred to be a growing tech company or established organization with a dedicated AI/Social Impact division)

Founded: (Information not provided. The partner company's founding history would provide context on its maturity and mission evolution.)

Team Structure:

• The Product Marketing and Strategy team likely operates as a hub, closely integrated with Product Management, Engineering, Marketing, and Sales.

• Reporting structure may involve a direct report to a VP of Marketing, Chief Product Officer, or a similar senior leadership role.

Methodology:

• Data-driven decision-making is essential, with a focus on market intelligence and customer feedback to guide strategy.

• Agile methodologies for product development and GTM planning are likely employed, requiring adaptability and iterative improvements.

• Emphasis on leveraging AI for efficiency and innovation in product marketing and strategy execution.

Company Website: https://jobgether.com/ (Jobgether's website, partner company website not specified)

📝 Enhancement Note: While Jobgether is the platform posting the role, the "partner company" is the actual employer. Understanding the partner company's mission, values, and specific area of social good focus will be critical for cultural alignment.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Leadership Advancement: Potential to grow into a VP of Product Marketing, Chief Marketing Officer, or a broader GTM leadership role within the company or a larger organization.

• Specialization: Deepen expertise in AI-driven marketing, social impact technology, or specific market segments.

• Strategic Influence: Take on more responsibility for overall company product strategy and market direction.

• Mentorship: Opportunity to mentor junior product marketers and contribute to team development.

📝 Enhancement Note: This role offers significant growth potential for individuals looking to lead strategic initiatives and make a tangible impact, particularly within the socially conscious tech space. The emphasis on AI positions the candidate at the forefront of marketing innovation.

🌐 Work Environment

Office Type: Fully Remote

Office Location(s): Remote, with the ability to work from any location. The mention of "Columbia" in the location data might indicate a preference for candidates in or familiar with the Colombian market, or it could be a legacy data point from an ATS system. Given the "Remote Solely" AI classification, location is flexible.

Workspace Context:

• Collaborative Digital Environment: Expect to work extensively with colleagues via video conferencing, chat platforms (e.g., Slack, Teams), and collaborative document tools.

• Technology-Enabled: Access to a robust suite of digital tools for communication, project management, market research, and AI-powered analysis.

• Independent Work: Requires self-discipline, strong time management, and the ability to work autonomously while staying connected with team members.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) with flexibility. The need to collaborate across time zones may necessitate some adjusted hours. The company's commitment to social good may foster a culture where employees are motivated to go the extra mile.

📝 Enhancement Note: Candidates should be comfortable and proficient in a fully remote work environment, possessing strong self-management skills and excellent digital communication capabilities.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter (potentially from Jobgether) to assess basic qualifications and cultural fit.

• Hiring Manager Interview: In-depth discussion with the hiring manager to explore experience, strategic thinking, and understanding of product marketing, AI, and social impact.

• Case Study/Presentation: Candidates will likely be asked to prepare and present a case study related to product strategy, GTM planning, or a recent marketing initiative. This may involve analyzing a hypothetical product or addressing a specific market challenge.

• Cross-Functional Interviews: Meetings with key stakeholders from Product, Sales, and Marketing teams to assess collaboration skills and alignment.

• Executive Interview: Final interview with a senior leader (e.g., CPO, VP Marketing) to discuss vision, leadership potential, and overall fit.

Portfolio Review Tips:

• Quantify Impact: For each case study, clearly articulate the business problem, your strategic solution, the actions taken, and the quantifiable results (e.g., increased market share, revenue growth, improved conversion rates, enhanced customer engagement).

• Highlight AI Integration: Specifically showcase how you have leveraged AI tools (generative or analytical) to achieve marketing or strategic objectives.

• Structure for Clarity: Organize your portfolio logically, perhaps by project type or skill area. Use clear headings, concise descriptions, and visually appealing layouts.

• Tailor to the Role: Emphasize experiences most relevant to product strategy, marketing leadership, AI applications, and the social good sector.

• Prepare for Presentation: Be ready to walk through your portfolio, explaining your thought process, challenges, and learnings for each key project.

Challenge Preparation:

• GTM Strategy: Be ready to outline a GTM strategy for a new AI product in the social good space.

• Persona Development: Prepare to discuss how you would research and define buyer personas for a specific social impact technology.

• Pricing Models: Discuss how you would approach pricing a new AI-powered service for non-profits or government agencies.

• Messaging: Craft a compelling product positioning statement for an AI tool designed to improve educational outcomes.

📝 Enhancement Note: The interview process is designed to assess strategic thinking, operational execution, analytical prowess, and collaborative skills. A strong portfolio that demonstrates tangible results and relevant experience, especially with AI, will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Generative AI Platforms: Access to and proficiency with various generative AI tools (e.g., GPT-4, Claude, Midjourney, DALL-E) for content creation, ideation, and market analysis.

• CRM Systems: Experience with Salesforce, HubSpot, or similar platforms for managing customer data, tracking sales pipelines, and analyzing customer interactions.

• Marketing Automation: Familiarity with tools like Marketo, Pardot, or HubSpot Marketing Hub for campaign execution, lead nurturing, and email marketing.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics for website performance and user behavior tracking.

• Business Intelligence Tools: Tableau, Power BI, Looker for data visualization, dashboard creation, and in-depth performance analysis.

• Market Research Tools: Platforms like Statista, Gartner, Forrester, or specialized market intelligence software.

Collaboration & Project Management:

• Communication: Slack, Microsoft Teams, Zoom.

• Project Management: Asana, Trello, Jira, Monday.com.

• Document Collaboration: Google Workspace (Docs, Sheets, Slides), Microsoft 365.

📝 Enhancement Note: Proficiency with generative AI tools is a key requirement. Familiarity with standard MarTech and CRM stacks is also expected, particularly for data analysis and GTM execution.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong commitment to achieving meaningful social impact through technology and strategic initiatives.

• Data-Centric: Decisions are informed by rigorous data analysis, market insights, and customer feedback.

• Innovative: Embracing new technologies like generative AI to push boundaries and find novel solutions.

• Collaborative: Fostering a team environment where cross-functional partnerships are encouraged and valued.

• Customer-Focused: A deep understanding of and dedication to meeting customer needs and delivering exceptional value.

• Agile & Adaptable: Willingness to iterate, learn from failures, and adapt strategies quickly in a dynamic market.

Collaboration Style:

• Proactive Communication: Regularly sharing insights, updates, and feedback with cross-functional teams.

• Partnership Orientation: Working collaboratively with Product, Sales, and Marketing to achieve shared goals.

• Open Feedback Culture: Encouraging constructive feedback to continuously improve strategies and processes.

• Knowledge Sharing: Actively participating in sharing best practices, market intelligence, and learnings across teams.

📝 Enhancement Note: The company culture likely values innovation, collaboration, and a strong sense of purpose, given its focus on social good and AI. Candidates should be prepared to demonstrate how their work style aligns with these values.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating the Evolving AI Landscape: Keeping pace with rapid advancements in generative AI and integrating them effectively into product marketing strategies.

• Defining Value in the Social Good Sector: Articulating and quantifying the impact of AI-powered solutions for diverse stakeholders in the social impact space.

• Cross-Functional Alignment: Ensuring seamless collaboration and buy-in from various departments with potentially different priorities.

• Market Education: Educating target audiences on the benefits and applications of new AI technologies within their specific domain.

• Data Privacy and Ethics: Navigating the ethical considerations and data privacy implications of AI in marketing and product development.

Learning & Development Opportunities:

• AI Specialization: Deep dive into cutting-edge AI applications and their strategic marketing implications.

• Industry Immersion: Gaining in-depth knowledge of the social good sector and its unique market dynamics.

• Leadership Development: Opportunities to lead strategic initiatives and mentor emerging talent.

• Executive Exposure: Working closely with senior leadership on high-impact strategic decisions.

• Conferences & Certifications: Access to relevant industry events and professional development programs.

📝 Enhancement Note: This role presents opportunities to tackle complex challenges at the intersection of AI, marketing, and social impact, offering substantial professional growth and the chance to be an early innovator in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

• "Describe how you would use generative AI to develop buyer personas for a new AI-powered educational tool aimed at underserved communities." (Focus on process, tools, and expected outcomes.)

• "Outline your approach to defining the pricing strategy for a tiered AI analytics platform targeting non-profit organizations." (Emphasize value-based pricing, market analysis, and competitor considerations.)

Company & Culture Questions:

• "What excites you most about applying AI and product strategy to the social good sector?" (Showcase your passion and understanding of the mission.)

• "How do you ensure equitable representation and avoid bias when developing buyer personas, especially in diverse markets?" (Address ethical considerations.)

Portfolio Presentation Strategy:

• Storytelling: Frame your case studies as compelling narratives that highlight your problem-solving skills, strategic thinking, and ability to drive tangible results.

• Data Visualization: Use clear charts and graphs to present key metrics and demonstrate the impact of your work.

• AI Focus: Explicitly point out where and how AI tools were used to enhance your efforts and outcomes.

• Conciseness: Be prepared to present your portfolio efficiently, focusing on the most impactful projects and takeaways.

• Q&A Readiness: Anticipate questions about your methodologies, decision-making process, and challenges encountered.

📝 Enhancement Note: Preparation should focus on demonstrating a strategic, data-driven, and AI-savvy approach to product marketing and GTM operations, with a clear understanding of how to drive impact within the social good sector.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Jobgether link.

• Tailor Your Resume: Highlight keywords and achievements related to product marketing, product strategy, generative AI, market research, pricing, buyer personas, and social impact. Quantify your accomplishments with specific metrics.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best represent your experience in product marketing, strategy development, and AI application. Ensure they are well-documented, clearly showcase your role, and highlight quantifiable results.

• Prepare Your Narrative: Practice articulating your experience, focusing on how you leverage AI for strategic advantage and your passion for social good. Be ready to discuss your portfolio in detail.

• Research the Partner Company: If possible, research the specific partner company to understand their mission, products, and current initiatives. This will help you tailor your application and interview responses.

⚠️ 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.