Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.

We seek an exceptional Senior Solution Manager who thrives at the intersection of emerging AI technologies and enterprise data transformation. You'll lead product strategy and execution for client engagements involving AI, Generative AI, Agentic AI systems, and complex data migration initiatives – delivering solutions that drive measurable business impact.

The ideal candidate seamlessly navigates between strategic vision and tactical execution, translating ambiguous business challenges into actionable product roadmaps. You're equally comfortable presenting AI architecture decisions to C-suite executives as you are collaborating with ML engineers on prompt engineering strategies or data scientists on embedding models\n

What You'll Do

AI Product Strategy & Delivery

Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs
Build business cases (market analysis, ROI, competitive positioning)

Data & Platform Initiatives

Lead large-scale data migration across AWS, Azure, GCP
Oversee data pipelines, transformation, governance, and APIs
Ensure data quality, security, compliance, and observability

Agile Execution

Lead Agile processes, backlog grooming, and sprint planning
Break down complex features into incremental releases
Balance feature delivery with technical debt and architecture improvements

Stakeholder Collaboration

Work with clients, engineers, data scientists, and UX teams
Translate technical solutions into business value
Run workshops, user research, and product validation

Performance & Scaling

Define success metrics and analytics frameworks
Drive continuous improvement and root-cause analysis
Support product adoption and change management

What You Bring:

Experience

5–7+ years in product management (0→1 and scaling)
3–5+ years with AI/ML, GenAI, or data platforms
Strong Agile/Scrum experience
Experience in client-facing / consulting environments

Technical Expertise

GenAI: prompt engineering, RAG, embeddings, vector DBs
Agentic AI: LangChain, AutoGPT, CrewAI
Data: ETL/ELT, data modeling, migration strategies
Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
MLOps, model deployment, AI observability
Tools: Jira, Confluence, Figma, Tableau/Power BI, Git

Core Skills

Design thinking, data-driven decision making, strong communication and storytelling
Bias toward action; thrives in ambiguity with structured problem-solving

Nice to Have

Consulting or client-facing product experience; software development background
Domain expertise in financial services, healthcare, retail, or manufacturing
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP Cloud Practitioner

Why Join Us:

Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms.
Shape how enterprises adopt AI — from strategy to architecture to delivery.
Grow within a team building modern AI-delivery practices, tools, and frameworks.
Remote-friendly culture with strong engineering, data, and consulting partnerships.

Learn more about this Employer on their Career Site

Senior Solution Manager – AI & Data Solutions