What You Will Do:
- Drive AI-Powered Product Innovation
- Define product vision and roadmaps for client solutions leveraging GenAI, LLMs (GPT-4, Claude, Llama, Gemini), RAG architectures, and Agentic AI frameworks
- Lead end-to-end product lifecycle from ideation through launch for AI/ML products, ensuring alignment with client business objectives and KPIs
- Develop compelling business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementations
- Lead Complex Data & Migration Initiatives
- Oversee product strategy for large-scale data migration projects across cloud platforms (AWS, Azure, GCP)
- Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs
- Ensure data quality, security, compliance, and observability across all deliverables
- Champion Agile Delivery Excellence
- Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed features and epics
- Define sprint goals aligned with quarterly objectives and long-term product vision
- Balance technical debt management with feature delivery, advocating for architectural improvements
- Enable Cross-Functional Collaboration
- Partner with client stakeholders, engineering teams, data architects, ML engineers, and UX designers to deliver integrated solutions
- Translate technical capabilities into business value narratives tailored for different audiences, from developers to executive leadership
- Conduct design thinking workshops, user research sessions, and gap analyses to uncover insights and validate product direction.
Required Qualifications:
- 5 to 7+ years of experience in product management with demonstrated success taking technical products from 0 to 1 and scaling
- 3 to 5+ years of experience with AI/ML products, Generative AI, or data platform development
- 3 to 5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies
- Deep understanding of cloud architectures (AWS, Azure, GCP) and the modern data stack
- Deep expertise in modern data architectures and platforms such as Snowflake, Databricks, and BigQuery
- Understanding of GenAI technologies: prompt engineering, fine-tuning, RAG, vector databases, and embedding models
- Experience with Agentic AI frameworks such as LangChain, AutoGPT, or CrewAI
- Familiarity with data migration strategies, ETL/ELT pipelines, data modeling, and metadata management
- Proven track record managing stakeholders across technical and business functions in complex environments
- Exceptional communication and storytelling, translating complex technical concepts into compelling narratives
Nice To Have:
- Experience in consulting or client-facing product roles
- Previous software development or technical background
- Domain expertise in financial services, healthcare, retail, or manufacturing
- Certifications: CSPO, SAFe Product Owner/Product Manager, AWS/Azure/GCP Cloud Practitioner
What We Offer:
- Long-term B2B collaboration
- Fully remote setup
- A budget for your medical insurance
- Paid sick leave, vacation, public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
- Access to the latest AI tools and premium subscriptions
- Clear career growth path
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