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Senior Product Manager | Integrations & AI Foundations (f/m/d)
<p style="min-height:1.5em"><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.bunch.capital/"><u>bunch</u></a> is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that combines secure data infrastructure, AI-powered workflows and expert fund services. If you value ownership, growth through real responsibility, and working with a thoughtful, ambitious team, this role might be for you.</p><h1></h1><p style="min-height:1.5em"></p><h2><strong>Your Role</strong></h2><p style="min-height:1.5em">As <strong>Senior Product Manager</strong> for<strong> Integrations & AI Foundations</strong>, you're the product owner for bunch's integration and AI platform. You have two kinds of customers: external developers and fund-manager teams connecting to bunch, and the internal product teams building on top of what this team provides.</p><p style="min-height:1.5em">Integrations & AI Foundations is a new platform squad. It owns the infrastructure that lets data move securely between bunch and other systems, and lets every other product team build AI capabilities — extraction, retrieval, agents and evaluations — without each one solving the same hard problems again.</p><p style="min-height:1.5em">The team covers five connected areas:</p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Integrations / API layer</strong> — API contracts, authentication, versioning and deprecation, rate limits, uptime and SLA, and a Developer Portal</p></li><li><p style="min-height:1.5em"><strong>MCP layer</strong> — agent-callable tools built as thin wrappers over the same API contracts, including a customer-facing MCP offering</p></li><li><p style="min-height:1.5em"><strong>Document Parsing</strong> — a reusable ingestion, decomposition and extraction pipeline, with human-in-the-loop review and accuracy monitoring</p></li><li><p style="min-height:1.5em"><strong>Retrieval / RAG</strong> — chunking, embedding, vector store and retrieval, with access control enforced on every query, offered as a callable service</p></li><li><p style="min-height:1.5em"><strong>AI Agentic Layer</strong> — the agent framework, memory, guardrails, evaluation harness, observability and agent registry other teams use to ship their own agents</p></li></ul><p style="min-height:1.5em">Document extraction, agent workflows, evaluations and multi-provider model fallback under EU data residency are already in production. </p><p style="min-height:1.5em">Fund managers don't want to retype data that already lives in their own systems, and they want to pull their bunch data into their own tools and their own AI. Customers and prospects ask for APIs, CRM and accounting syncs, automated exports of capital accounts, and MCP access. </p><p style="min-height:1.5em">You'll turn those signals into a coherent platform: one that customers integrate with, and that our own product teams build on, instead of a string of one-off builds.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>You will:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Set platform strategy and sequencing</strong> across the five areas: decide how to slice the work and what ships first</p></li><li><p style="min-