Senior AI PM
Libra AI · Bengaluru, Karnataka, India
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- On site
- Full-time
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Own AI product roadmap and execution.
- Translate user needs into AI workflows.
- Collaborate with AI, engineering, GTM.
- Drive rapid iteration and customer feedback.
- Fast-paced startup environment in Bengaluru.
About the role
About Libra AI
Libra AI has secured $1mn in pre-seed funding to develop an agentic work OS. This platform integrates over 250 enterprise tools, utilizing AI agents to automate workflows across HR, finance, sales, and operations. We are currently in soft launch and are expanding our founding team in Bengaluru.
The Role
We are seeking an AI Product Manager to lead the product lifecycle for Libra's agentic workflows. You will operate at the convergence of our AI/ML stack, engineering, and go-to-market teams, transforming user challenges into functional, shipped products. This is a full-time position based in HSR Layout, Bengaluru. A hybrid work arrangement with a minimum of 4 days in the office is expected.
What You'll Do
- Own and manage the product roadmap for core agentic capabilities, including scoping, prioritization, and end-to-end feature delivery.
- Define specifications for AI-powered workflows, such as multi-step agent pipelines, semantic search, and integration orchestration, in close collaboration with the engineering team.
- Drive execution rigor by unblocking engineers, maintaining realistic timelines, and adjusting scope as necessary.
- Implement rapid iteration cycles: ship, measure, learn, and repeat. Define success metrics and maintain accountability.
- Engage directly with early customers and design partners to validate product concepts and conduct user discovery to shape the roadmap.
- Coordinate effectively across engineering, design, and go-to-market teams to ensure seamless product launches.
What We're Looking For
- Minimum of 2 years of product management experience, with a preference for AI/ML or developer tools.
- Proven track record of shipping products, not just managing backlogs.
- Strong technical intuition, with comfort discussing LLM architectures, API design, and agent orchestration patterns.
- Familiarity with agentic AI patterns, including tool use, multi-step reasoning, and retrieval-augmented generation.
- A bias for speed and clarity, prioritizing efficient execution over excessive process.
- Excellent written communication skills, with the ability to produce crisp specifications.
- Startup mentality: thrives in ambiguity, enjoys small teams, embraces high ownership, and iterates rapidly without compromising quality.
- Proficiency with tools like Lovable and Claude Code for rapid prototyping and idea validation.
Nice to Have
- Experience with enterprise SaaS or workflow automation platforms.
- Background in Libra's core domains: HR, finance, or sales operations.
- Experience in defining and executing experiments with clear success metrics.
Key skills/competency
- AI Product Management
- Product Roadmap
- Feature Prioritization
- AI/ML
- LLM Architectures
- Agent Orchestration
- User Discovery
- Go-to-Market Strategy
- SaaS
- Workflow Automation
Skills & topics
- AI Product Manager
- Product Management
- AI
- Machine Learning
- LLM
- Agent Orchestration
- Workflow Automation
- SaaS
- Startup
- Bengaluru
How to get hired
- Tailor your resume: Highlight your 2+ years of PM experience, AI/ML exposure, and understanding of agentic AI patterns.
- Showcase technical acumen: Emphasize your ability to discuss LLM architectures, API design, and workflow automation.
- Demonstrate startup DNA: Include examples of thriving in ambiguous, fast-paced environments with high ownership.
- Prepare for interviews: Be ready to discuss product strategy, execution rigor, and customer validation techniques.
- Research Libra AI: Understand their agentic work OS, enterprise tool integration, and PLG strategy.
Technical preparation
Understand LLM architectures and API design.,Study agent orchestration and tool use patterns.,Familiarize with semantic search and RAG.,Practice rapid prototyping with AI tools.
Behavioral questions
Describe a time you shipped a complex product.,How do you handle ambiguity in a startup?,Share an example of fast iteration success.,How do you validate product ideas with users?
Frequently asked questions
- What is Libra AI's core product offering for an AI Product Manager?
- Libra AI is building an agentic work OS, a platform that connects over 250 enterprise tools and uses AI agents to automate workflows across HR, finance, sales, and operations. As an AI Product Manager, you'll own the product lifecycle for these agentic workflows.
- What level of technical understanding is required for the Senior AI Product Manager role at Libra AI?
- A fairly technical background is required, with enough AI exposure to understand AI orchestration. You should be comfortable discussing LLM architectures, API design, and agent orchestration patterns. Familiarity with agentic AI patterns like tool use, multi-step reasoning, and retrieval-augmented generation is also important.
- Does Libra AI offer a hybrid work model for the AI Product Manager position?
- Yes, the role is full-time and based in Bengaluru (HSR Layout), with a hybrid work arrangement that requires 4 or more days in the office per week.
- What is the minimum product management experience needed to apply for the Senior AI Product Manager role?
- A minimum of 2 years of product management experience is required. Ideally, candidates will have 3-6 years of experience, with a preference for those with AI/ML or developer tools background. It's crucial that you have shipped products, not just managed backlogs.
- How important is understanding Product-Led Growth (PLG) for this AI Product Manager position?
- Understanding PLG is highly valued. The job description mentions it as a criterion, ideally suggesting firsthand experience. This indicates Libra AI likely employs or aims for a PLG strategy for its agentic work OS.
- What specific AI concepts should an AI Product Manager be familiar with at Libra AI?
- Familiarity with agentic AI patterns is key, including concepts like tool use by agents, multi-step reasoning processes, and retrieval-augmented generation (RAG). You should also understand AI orchestration and how AI agents automate workflows.
- What kind of user collaboration can I expect as an AI Product Manager at Libra AI?
- You will work directly with early customers and design partners to validate product ideas and conduct user discovery. This direct customer interaction is crucial for shaping the product roadmap and ensuring the shipped product meets user needs.
- How does Libra AI approach product development and iteration?
- Libra AI emphasizes rapid iteration cycles: ship, measure, learn, and repeat. They value a bias toward speed and clarity over excessive process, encouraging product managers to define success metrics and hold themselves accountable.