Product Owner (Associate)
Actively Reviewing the ApplicationsInfogain
India, Maharashtra, Mumbai
Full-Time
On-site
Posted 9 hours ago
•
Apply by June 14, 2026
Job Description
Roles & Responsibilities
Job Title: Product Owner - Ignis Platform (Enterprise Agentic GenAI)
About Ignis
Ignis is an enterprise-grade Agentic Generative AI Platform built on a customized version of open-source Langflow (branded as IgnisFlow). It empowers organizations to build, deploy, and govern secure, scalable multi-agent workflows with features like SSO/RBAC, Nemo Guardrails, observability integrations (Langsmith, Langwatch, Arize), custom components for SLMs, cloud storage, and domain-specific templates. With partnerships including Arize, Cursor, DataStax Augment, ElevenLabs, and leading academic institutions, Ignis is positioned to lead the 2026 wave of agentic AI adoption in enterprises.
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
Job Title: Product Owner - Ignis Platform (Enterprise Agentic GenAI)
About Ignis
Ignis is an enterprise-grade Agentic Generative AI Platform built on a customized version of open-source Langflow (branded as IgnisFlow). It empowers organizations to build, deploy, and govern secure, scalable multi-agent workflows with features like SSO/RBAC, Nemo Guardrails, observability integrations (Langsmith, Langwatch, Arize), custom components for SLMs, cloud storage, and domain-specific templates. With partnerships including Arize, Cursor, DataStax Augment, ElevenLabs, and leading academic institutions, Ignis is positioned to lead the 2026 wave of agentic AI adoption in enterprises.
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.
- 5+ years of experience as a Product Owner, Product Manager, or similar role in B2B/enterprise SaaS platforms; experience in AI/ML/GenAI products strongly preferred.
- 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.
- Excellent stakeholder management skills, with experience aligning diverse groups (executives, customers, partners, developers).
- Data-driven mindset: comfortable using metrics (e.g., adoption, token usage, observability traces) to prioritize and validate decisions.
- Experience in enterprise concerns like security/compliance (VAPT, tenant isolation), RBAC/SSO, and on-prem/cloud deployments is a plus.
- Master/Bachelor's degree in Computer Science, Engineering, Business, or related field; advanced degree or AI certifications desirable.
- 8-11 Years
- Primary Skill: Business-Analysis
- Sub Skill(s): Business-Analysis
- Additional Skill(s): Atlassian Confluence, JIRA, Requirements Development, Product Management (SDT), GenAI Fundamentals
Required Skills
Sales
Engineering
SDLC
Agile
Scrum
Prioritization
Compliance
Jira
Promotion
Product Management
Stakeholder Management
Architecture
LangChain
Confluence
Kanban
Data Engineering
RAG
Governance
Risk
Runtime
Flow
RBAC
Vector
Platform architecture
Generative
Guardrails
MCP
Cursor
Technical aptitude
SSO
VAPT
Aptitude
Cloud deployments
Epics
Grooming
Multi-Agent Systems
GenAI
Prompt engineering
Knowledge graphs
Agile environments
Templates
LLMs
Development tools
Observability
Product vision
Generative AI
Backlog
Atlassian
User Stories
TRACES
Backlog grooming
Product Owner
AI/ML
Computer Science
LLM
Agentic AI
Vector Databases
Langgraph
Prompt
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