About Provectus
At Provectus, we empower enterprises to unlock transformative value through AI, GenAI, ML and data-driven innovation. As a leading AI and data management consulting company, we partner with clients to architect, build, and scale cutting-edge solutions leveraging Generative AI, Agentic workflows, and modern data platforms.
Who We're Looking For
We seek an exceptional Senior Product 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.
What You Will Do:
Drive AI-Powered Product InnovationDefine product vision and roadmaps for client solutions leveraging GenAI, LLMs (GPT-4, Claude, Llama, Gemini), RAG architectures, and Agentic AI frameworksLead end-to-end product lifecycle from ideation through launch for AI/ML products, ensuring alignment with client business objectives and KPIsDevelop compelling business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementationsLead Complex Data & Migration Initiatives
Oversee product strategy for large-scale data migration projects across cloud platforms (AWS, Azure, GCP)Guide data product development including data ingestion pipelines, transformation layers, governance frameworks, and consumption APIsEnsure data quality, security, compliance, and observability across all deliverablesChampion Agile Delivery Excellence
Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and Epic level storiesWork closely with engineering teams to decompose complex features into incremental releases with clear technical dependenciesDefine sprint goals aligned with quarterly objectives and long-term product visionBalance technical debt management with feature delivery, advocating for enablers and architectural improvementsEnable Cross-Functional Collaboration
Partner with client stakeholders, engineering teams, data architects, ML engineers, and UX designers to deliver integrated solutionsTranslate technical capabilities into business value narratives tailored for different audiences – from developers to executive leadershipConduct design thinking workshops, user research sessions, and gap analysis to uncover insights and validate product directionMeasure, Optimize, and Scale
Establish success metrics, analytics frameworks, and feedback loops to continuously improve product performancePerform root-cause analysis on issues, identify systemic gaps, and drive resolution through data-informed decision makingChampion product adoption across client organizations, advocating for best practices and change management
What You Bring:
Bachelor's degree in Technology or Business related field (Master's preferred)5-7+ years of experience in product management, with demonstrated success taking technical products from 0-to-1 and scaling5+ years in product management roles with demonstrated end-to-end product ownership3-5+ years of experience with AI/ML products, Generative AI, or data platform development3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremoniesDeep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack Deep expertise in modern data architectures, cloud platforms (Snowflake, Databricks, BigQuery), and data engineering conceptsProven track record of managing stakeholders across technical and business functions in complex, matrixed environmentsTechnical Depth
Understanding of GenAI technologies: prompt engineering, fine-tuning, RAG, vector databases, embedding modelsExperience with Agentic AI frameworks (LangChain, AutoGPT, CrewAI) and orchestration patternsFamiliarity with data migration strategies, ETL/ELT pipelines, data modeling, and metadata managementKnowledge of MLOps practices, model deployment, and AI observability toolsExposure to tools like Jira, Confluence, Figma, Tableau/Power BI, GitCore Competencies
Design thinking and user-centered design methodologiesExceptional communication and storytelling—translating complex technical concepts into compelling narrativesData-driven decision making with strong analytical and synthesis capabilitiesBias toward action with "progress over perfection" mentalityAbility to thrive in ambiguity, navigating unknowns with structured problem-solving approachesDifferentiators
Experience in consulting or client-facing product rolesPrevious software development or technical backgroundDomain expertise in financial services, healthcare, retail, or manufacturingCertifications: CSPO, SAFe Product Owner/Product Manager, 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.