Product Owner II at World Education Services leading Salesforce enhancements and operations. Focused on driving improvements, Agile execution, and stakeholder collaboration.
About the role
- AI Solutions Product Manager at Anju Software leading AI product strategy and go-to-market execution. Collaborating with cross-functional teams to transform AI innovations into scalable solutions.
Responsibilities
- Define and own the AI product vision, strategy, roadmap, and delivery, aligned to corporate objectives and market trends.
- Translate customer and market insights into clear, intelligent workflow automation value-driven use cases.
- Lead an AI focused engineering team to prioritize high-impact AI features, balancing innovation, feasibility, and compliance (e.g., GxP, 21 CFR Part 11).
- Collaborate closely with ML engineers and to develop intuitive, robust, and predictable AI experiences.
- Define acceptance criteria, KPIs, and data performance metrics for model outputs and user adoption.
- Work with the compliance team to ensure responsible AI governance, validation, and regulatory compliance for all AI features.
- Partner with marketing, sales, and enablement to craft compelling positioning, pricing, and launch plans.
- Lead beta programs, customer pilots, and product launches; synthesize feedback into rapid iteration cycles.
- Develop competitive intelligence and value messaging tailored to life sciences stakeholders (clinical, regulatory, data science, and operations).
- Communicate product direction, insights, and results to executives and external stakeholders.
Requirements
- 5–8+ years of software product management experience, with at least 2+ years focused on AI/ML products.
- Proven end-to-end GTM experience: from concept validation to commercial launch and post-launch scaling.
- Strong technical understanding of modern AI concepts (e.g., NLP, LLMs, agentic AI, MCPs, predictive modeling).
- Experience integrating AI into enterprise SaaS platforms or data-intensive workflows and/or building & launching personal AI applications and projects.
- Demonstrated ability to work with engineering, data science, and UX teams using Agile or Lean methodologies.
- Excellent storytelling, strategic communication, and stakeholder management skills.
- Domain experience in Life Sciences, Healthcare, or Regulated Data Environments (e.g., EDC, CTMS, PV, LIMS).
- Familiarity with AI ethics, validation frameworks, and compliance standards.
- Hands-on experience with market intelligence, pricing strategy, and enablement for AI products.
- Bachelor’s degree in Computer Science, Engineering, Life Sciences, or related field; MBA or MS preferred.
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