AI Solutions Product Manager

📋 Description

• • Valsoft Corporation is seeking a visionary and results-oriented AI Solutions Product Manager to spearhead the development and commercialization of our next generation of AI-driven software solutions.
• • This pivotal role will be instrumental in shaping the future of how clinical, operational, and business users leverage user-driven AI automation, pushing the boundaries of innovation within the life sciences industry.
• • You will be the driving force behind the product vision, strategy, roadmap, and go-to-market execution, ensuring alignment with corporate objectives and emerging market trends.
• • The ideal candidate is a proactive, hands-on individual with a passion for AI and a proven ability to thrive in dynamic, unstructured environments, transforming nascent ideas into tangible, market-leading products.
• • You will foster strong, cross-functional collaborations with engineering, business development, marketing, and executive leadership, translating complex AI innovations into scalable, compliant, and commercially successful products.
• • Your unique blend of strategic foresight, technical acumen, and go-to-market expertise will be critical in accelerating product adoption and establishing a distinct competitive advantage in a rapidly evolving landscape.
• • Product Strategy & Roadmap:
• • Define, own, and champion the AI product vision, overarching strategy, and detailed roadmap, ensuring it directly supports and advances the company's strategic goals and capitalizes on key market opportunities.
• • Diligently translate intricate customer needs and comprehensive market intelligence into clear, actionable, and value-driven use cases focused on intelligent workflow automation.
• • Provide strong leadership to an AI-focused engineering team, guiding them in prioritizing high-impact AI features and functionalities, while meticulously balancing the demands of innovation, technical feasibility, and stringent regulatory compliance (e.g., GxP, 21 CFR Part 11).
• • AI Product Development:
• • Cultivate a close and collaborative working relationship with Machine Learning engineers and data scientists to architect and develop intuitive, robust, and highly predictable AI-driven user experiences.
• • Clearly articulate and define acceptance criteria, key performance indicators (KPIs), and critical data performance metrics for AI model outputs and user adoption, ensuring measurable success.
• • Partner effectively with the compliance team to embed and uphold responsible AI governance, rigorous validation processes, and comprehensive regulatory compliance across all AI-related features and functionalities.
• • Go-to-Market (GTM) Execution:
• • Actively collaborate with marketing, sales, and enablement teams to develop compelling product positioning, strategic pricing models, and impactful launch plans that resonate with target audiences.
• • Orchestrate and lead beta programs, customer pilot initiatives, and full-scale product launches, systematically gathering and synthesizing user feedback to drive rapid and iterative product improvements.
• • Conduct thorough competitive intelligence analysis and develop persuasive value messaging specifically tailored to resonate with diverse life sciences stakeholders, including clinical, regulatory, data science, and operations professionals.
• • Consistently and effectively communicate product direction, strategic insights, and performance results to executive leadership and a broad spectrum of external stakeholders, fostering transparency and alignment.
• • Drive the commercial success of AI products by understanding market dynamics, customer pain points, and competitive landscapes, ensuring our solutions deliver exceptional value and differentiation.
• • Champion the product internally, evangelizing its capabilities and benefits across different departments to ensure a unified understanding and approach.
• • Continuously monitor product performance post-launch, analyzing usage data, customer feedback, and market reception to inform future iterations and strategic adjustments.
• • Identify and pursue new opportunities for AI integration and application within existing and future product lines, expanding the company's AI footprint and market leadership.