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!
