As the world moves to AI native applications, one element matters more than anything: the data. We centralize feedback across every source, like Twitter, Salesforce, Zendesk, Slack, Intercom, community forums, surveys, and Gong calls, into a single context graph. On top of it we build an adaptive taxonomy for each customer and an agent platform that lets teams query, monitor, and act on customer intelligence wherever they work, whether that's inside Enterpret, in Slack, or in their own AI tools through our MCP server.

Our customers include companies like Canva, Notion, WisprFlow, ElevenLabs, OpenRouter, Western Union, and several other Product Led Growth decacorns and F500 companies. Agents, LLMs, and applied ML are not a side project here, they are the core of how we build. You own two things: the experience of setting up and managing integrations, and the behavior of the system underneath.

Run the fleet like a portfolio. Fifty integrations, each built on a platform whose APIs, data models, and conventions keep moving. You will prioritize by revenue impact and error frequency, put the hard calls in writing, and decide which platforms the ecosystem integrates with next.

Own the integration setup and management experience end to end: connecting a source, scoping exactly what gets ingested (filters, backfill windows, previews), and managing it over time.





Define per-integration error taxonomies, decide which failures customers see and which page our team, and ship proactive notifications so customers hear about issues from us first.

Direct product ownership of integrations, connectors, data ingestion, or API products on technical B2B surfaces. You have defined reliability and experience metrics where none existed, instrumented them, and moved them.

You own the problem inventory for the integration ecosystem, prioritized by revenue and error frequency. The highest-usage integration has a complete error taxonomy, and it is the template the rest of the fleet follows. The fleet runs on a maintenance lifecycle with owned processes for API deprecations and source-platform changes. New integrations launch to the standard by default, and customers cite the setup experience as a reason they trust the product.

Growth: Work directly with the Head of Product and engineering leadership at a Series-B company, with a dedicated engineering team on your surface.

Benefits: Market-competitive salary, equity, hybrid work, premium healthcare.

We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin.

📌 Head of Product / Product Lead / Senior Product Manager (Bengaluru)
🏢 Enterpret
📍 Bengaluru