Senior Product Manager

Senior Product Manager – AI / B2B SaaS Location: Bengaluru Work Mode: Work from Office Experience: 5+ years Department: Product Management About LeadSquared LeadSquared is a leading Sales CRM for high-velocity revenue teams, helping businesses manage leads, sales processes, customer interactions, marketing, and revenue workflows at scale. We serve businesses where large sales teams manage high volumes of leads and customer interactions, making speed, prioritisation, automation, and effective sales execution critical to revenue growth.

Role Overview We are looking for a Senior Product Manager – AI to own the roadmap and end-to-end execution of AI products within LeadSquared. Key Responsibilities   Own the roadmap, prioritisation, and end-to-end execution for your AI product area. Understand customer problems and identify where AI can create meaningful, scalable value and translate them into clear product requirements and scalable solutions.

Drive products from discovery and 0→1 development through launch, adoption, and iteration. Build and scale end-user-facing AI experiences that work reliably within enterprise workflows. Make informed product decisions considering quality, latency, and scale trade-offs in production AI systems. Work closely with Engineering, Design, AI/ML, Data, and GTM teams to ship high-quality products. Define and track product adoption, engagement, customer outcomes, and business impact.

Drive GTM, adoption, and continuous product optimisation. What We're Looking For 5+ years of Product Management experience. 2+ years of hands-on Product Management experience building AI products. Strong B2B SaaS product experience. Experience in 0→1 product development and launches. Strong product discovery, prioritisation, roadmap management, and execution skills. Familiarity with AI evaluations (evals), observability, guardrails, and human oversight.

Data-driven approach with strong understanding of product metrics. Excellent communication, problem-solving, and stakeholder management skills. Candidates from Tier 1 / Tier 1.5 / Tier 2 colleges preferred. Good to Have Experience building products using GenAI, LLMs, RAG, AI Agents / Agentic AI, or ML-based decision systems. Experience in CRM, SalesTech, MarTech, or Enterprise SaaS. Experience building AI products for sales, revenue, operations, or other enterprise users.

Experience taking an AI capability from an early prototype to a reliable, scalable enterprise product. Candidates who have built AI side projects will have a preference. Share links to live products, prototypes, demos, GitHub repositories, agents, or apps you’ve built.