What You Will Do:
Drive AI Powered Product Innovation
Define product vision and roadmaps for client solutions leveraging GenAI, LLMs such as GPT 4, Claude, Llama, and Gemini, RAG architectures, and Agentic AI frameworks
Lead end to end product lifecycle from ideation through launch for AI and ML products
Develop compelling business cases by analyzing market opportunities and ROI projections for AI implementations
Lead Complex Data and Migration Initiatives
Oversee product strategy for large scale data migration projects across cloud platforms including AWS, Azure, and 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 technical detailed Features and Epic level stories
Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies
Balance technical debt management with feature delivery, advocating for architectural improvements
Enable Cross Functional Collaboration
Partner with client stakeholders, engineering teams, data architects, and ML engineers to deliver integrated solutions
Translate technical capabilities into business value narratives tailored for audiences from developers to executive leadership
Conduct design thinking workshops and user research sessions to validate product direction
Required Qualifications:
Bachelor's degree in Technology or Business related field (Master's preferred)
5-7+ years of experience in technical product management, solutions architecture, or
software engineering
5+ years in product management roles with demonstrated end-to-end product ownership
3-5+ years of experience with AI/ML products, Generative AI, or data platform
development
3-5+ years working in Agile/Scrum environments with strong command of Agile
methodologies and ceremonies
Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack
technologies
Technical Expertise:
AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning,
Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)
Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt,
Airflow, Kafka/streaming architectures
Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse),
GCP (Vertex AI, BigQuery)
MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores,
experiment tracking
Data Migration: Assessment methodologies, migration patterns, data validation, cutover
strategies
Development Practices: API design, microservices, containerization (Docker,
Kubernetes), CI/CD pipelines
Core Competencies:
Solution design and technical architecture capabilities
Requirements translation from business needs to technical specifications
Strong analytical thinking and problem-solving in complex technical domains
Exceptional stakeholder management across technical and non-technical audiences
Clear technical communication; documenting complex systems and presenting
architectural decisions
Risk identification, dependency mapping, and mitigation planning
Nice To Have:
Prior software development or data engineering experience (3+ years)
Background in consulting or professional services delivering client solutions
Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data
Engineer, Certified Scrum Product Owner
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.
