AI Lead Product Manager

Department: AI

Location: Bangalore - India

Description

About us:

Hiver is a modern, AI-driven customer service platform used by companies across healthcare, finance, logistics, education, and technology. We help teams deliver fast, human support across email, chat, phone, WhatsApp, and more — without the complexity of legacy helpdesks.

We're a challenger brand in a category dominated by over-engineered tools. We build software that is simple, powerful, and genuinely helpful, and we operate internally with that same philosophy. If you want meaningful ownership, thoughtful teammates, and work that ships, Hiver is a great place to do it.

Opportunity:

We're seeking a driven Lead Product Manager who will lead the ideation, delivery, and optimization of AI‑powered features within our product. You'll focus on executing high‑impact AI functionality under strategic guidance from the Head of AI, partnering closely with engineering, design, data, and GTM teams to ship features that meaningfully improve customer outcomes.

Key Responsibilities

What will you do

• Own the strategy and full product lifecycle of key AI features: ideation → discovery → spec → launch → adoption → post‑launch refinement → business outcomes
• Shape the AI roadmap by prioritising the highest‑impact problems and opportunities in partnership with cross‑functional leaders
• Collaborate with engineering, design, and data teams to translate customer and business needs into robust technical solutions
• Define and own success metrics (adoption, accuracy, usage, revenue impact), monitor performance, and iterate based on data
• Be the senior liaison for Customer Success, GTM, Sales, and Marketing during feature rollout, ensuring clear positioning and smooth launches
• Stay sharp on the AI/LLM landscape (LLM APIs, embeddings, RAG, prompt engineering) to influence what we build and how we build it
  
  

Key Requirements

What are we looking for

• 7+ years of overall experience, with at least 2 years of product management experience in AI feature delivery
• Proven ability to deliver ML/AI features in fast‑moving environments
• Strong data‑oriented mindset; comfortable crunching, analyzing, and massaging large volumes of product and business data to drive insight
• Hands‑on familiarity with AI tooling (e.g., OpenAI APIs, vector stores, prompt frameworks, Generative AI ecosystem)
• Strong written and verbal communication; able to write clear PRDs, specs, and user stories
• A proactive, analytical mindset with strong user empathy
  
  

Nice to Have:

• Experience building support, email automation, or collaboration products
• Familiarity with prompt engineering, LangChain, Pinecone, or other LLM ecosystems
• Background in data privacy, bias mitigation, or AI ethics
• Familiarity with a scripting language, e.g., Python