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
