Our industry recognition includes
21x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
Top analyst recognitions from Gartner, ISG, and Everest Group.
Consecutive certifications as a Great Place to Work.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
Work Location: USA - Chicago
Experience Level: 10 to 12 years
Type: Full time
Role
We are seeking a seasoned, strategic, and technically adept Product Owner to shape and drive our AI/ML innovation roadmap, with a dedicated focus on building state-of-the-art AI Agentic systems.
In this role, you will bridge the gap between cutting-edge AI research and scalable enterprise execution. You will translate frontier AI concepts—such as Large Language Models (LLMs), Agent Development Frameworks (ADK), Claude Skills, Retrieval-Augmented Generation (RAG), and Knowledge Graphs—into structured, high-impact product requirements. Working within a SAFe Agile framework, you will collaborate with research scientists, data engineers, cloud architects, and executive stakeholders to advance concepts from initial Proof of Concept (POC) to production-grade deployment on cloud-native infrastructure.
Responsibilities
Define, articulate, and execute the product vision and roadmap for next-generation AI/ML initiatives, prioritizing high-leverage agentic architectures and autonomous workflows.
Manage and prioritize the innovation and research backlog, balancing experimental risk, technical viability, and tangible business impact.
Continuously evaluate breakthroughs across the generative AI ecosystem to identify opportunities for integration into the core product suite.
Deconstruct complex AI/ML paradigms—including agent tool-use, RAG pipelines, Knowledge Graph embeddings, and multi-agent coordination—into clear user stories, acceptance criteria, and technical specifications.
Partner closely with system architects and software engineers to ensure experimental architectures are built for scalability, resilience, and security within Google Cloud Platform (GCP) and Kubernetes (GKE).
Support modern deployment patterns and iterative testing loops by leveraging automated CI/CD practices with GitHub Actions.
Shepherd innovation initiatives across the entire lifecycle: from hypothesis formation, exploratory research, and POC validation through to hardening, production rollout, and adoption.
Establish evaluation frameworks, benchmarks, and key performance indicators (KPIs) to measure model reliability, agent task completion, cost efficiency, and end-user impact.
Gather quantitative feedback and qualitative operational insights to iterate on prototypes or graduate successful experiments into core product offerings.
Act as the central connective tissue between AI researchers, core engineering, operations, and commercial leaders within a Scaled Agile Framework (SAFe).
Map and navigate complex application landscapes, user workflows, data dependencies, and cross-team ownership structures to eliminate delivery roadblocks.
Skills Required
10–12 years of overall professional experience, with substantial tenure as a Product Owner, Technical Product Manager, or Product Lead guiding advanced technical or data-centric products.
Demonstrated conceptual and practical mastery of modern AI ecosystems, including Generative AI, LLMs, AI Agentic workflows, Agent Development Kits (ADKs), Claude Skills, RAG pipelines, vector search, and Knowledge Graph integration.
Hands-on experience operating within Scaled Agile (SAFe) environments, running backlog grooming, sprint planning, PI planning, and dependency management for cross-functional teams.
Solid understanding of cloud-native infrastructure, specifically Google Cloud Platform (GCP) and container orchestration with Kubernetes, along with familiarity with GitHub Actions for CI/CD automation.
Ability to actively engage in architectural discussions regarding data pipelines, API contracts, latency budgets, agent orchestrators, and model inference scaling.
Proven track record of translating high-level executive strategy and complex data science research into actionable epics, features, and stories for cross-functional execution.
What is in it for you
Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Be a part of an energetic team of highly dynamic and talented individuals
Exposure to working with fortune 500 companies and innovative market disruptors
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
