Product Owner

We are seeking an experienced Product Owner to own the product vision, backlog, and roadmap for Ignis, driving its evolution into a leading platform for autonomous agents, multi-agent orchestration, and enterprise governance.

Key Responsibilities

• Define and communicate the product vision, strategy, and multi-year roadmap for Ignis, aligning with emerging GenAI trends such as agentic AI, multi-agent workflows, SLM integration, runtime portability, and ethical governance.
• Own, prioritize, and refine the product backlog, translating high-level features (e.g., unified agent builder, centralized LLM Gateway, MCP connector ecosystem, templates marketplace, production-grade pipeline controls) into detailed user stories, acceptance criteria, and epics.
• Lead backlog grooming/refinement sessions, collaborating closely with engineering, design, partnerships, and stakeholders to ensure clarity, feasibility, and business value.
• Drive execution of the 2026 roadmap priorities, including spec-driven agent development, flow promotion, domain-specific solutions (SDLC, Data Engineering, CX Ops), security enhancements, and automated deployments.
• Gather and synthesize input from customers, internal teams, sales, and partners (e.g., Arize for observability, Cursor for coding agents) to inform prioritization and feature definition.
• Collaborate with cross-functional teams (engineering, UX, partnerships, go-to-market) to deliver incremental value, measure outcomes, and iterate based on usage metrics, token efficiency, and customer feedback.
• Monitor competitive landscape and GenAI advancements (agentic systems, knowledge graphs, multimodal capabilities) to ensure Ignis remains innovative and enterprise ready.
• Represent the product in customer discussions, demos, and executive reviews, advocating for features that de-risk enterprise GenAI adoption.

Qualifications & Requirements

• 5+ years of experience as a Product Owner, Product Manager, or similar role in B2B/enterprise SaaS platforms; experience in AI/ML/GenAI products is required.
• Proven track record of owning product backlogs, roadmaps, and delivering complex features in agile environments (Scrum/Kanban).
• Deep understanding of Generative AI concepts: LLMs, RAG, prompt engineering, agentic/multi-agent systems, guardrails, observability, and governance.
• Familiarity with AI development tools/ecosystems (e.g., LangChain/Langflow/LangGraph/LangSmith, Nemo Guardrails, vector databases, or similar) is a significant advantage.
• Strong technical aptitude to collaborate effectively with engineering teams on platform architecture, integrations, and scalability.