Senior Product Manager | Integrations & AI Foundations (f/m/d)

4 дн. назад

ГерманияSeniorOnsite

apiaiintegrationproduct_ownership

Senior Product Manager responsible for integrating and developing AI foundations platform that supports integrations, APIs, and AI capabilities for external developers and internal teams.

О компании

is building the operating infrastructure for the next generation of private markets. We combine AI-powered automation with deep regulatory expertise to replace fragmented spreadsheets and manual processes with one integrated platform across the fund lifecycle, purpose-built for private markets heading toward $32 trillion in Assets Under Management.
We've 4x our ARR in 2025, crossed 150 fund managers and 12,000 LPs on the platform, and just closed our $35M Series B in May 2026. We're looking for ambitious people who want real ownership of hard problems, and who care about building infrastructure that actually matters to the people using it.
____ At , we're committed to an inclusive environment where diversity is valued and celebrated. We provide equal opportunities to all qualified applicants.
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Обязанности

As Senior Product Manager for Integrations & AI Foundations , you're the product owner for 's integration and AI platform. You have two kinds of customers: external developers and fund-manager teams connecting to , and the internal product teams building on top of what this team provides.
Integrations & AI Foundations is a new platform squad. It owns the infrastructure that lets data move securely between 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.
The team covers five connected areas:
Integrations / API layer — API contracts, authentication, versioning and deprecation, rate limits, uptime and SLA, and a Developer Portal
MCP layer — agent-callable tools built as thin wrappers over the same API contracts, including a customer-facing MCP offering
Document Parsing — a reusable ingestion, decomposition and extraction pipeline, with human-in-the-loop review and accuracy monitoring
Retrieval / RAG — chunking, embedding, vector store and retrieval, with access control enforced on every query, offered as a callable service
AI Agentic Layer — the agent framework, memory, guardrails, evaluation harness, observability and agent registry other teams use to ship their own agents
Document extraction, agent workflows, evaluations and multi-provider model fallback under EU data residency are already in production.
Fund managers don't want to retype data that already lives in their own systems, and they want to pull their 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.
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.
Set platform strategy and sequencing across the five areas: decide how to slice the work and what ships first
Run APIs as a product : contracts, versioning and deprecation policy, rate limits, SLAs, Developer Portal and documentation, and time-to-integrate as a measure you actively drive down
Define and launch the customer-facing MCP offering : which capabilities get exposed, tool descriptions that agents actually invoke correctly, and a security review gate for anything customers touch
Generalise document parsing : the first use case is already live; your goal will be to take it over and generalise it so more teams can reuse its logic
Shape retrieval and the agentic layer as services other teams consume, with access control, guardrails, evaluations and observability built in rather than bolted on
Draw and hold ownership lines with domain teams. When a request doesn't map to a named responsibility, run the scoping conversation rather than absorbing it
Own platform-wide policy with Engineering and Security: data classification and residency, LLM cost and rate governance, and an integration and extraction registry so nothing gets built twice
Work directly with customers — fund managers, CFOs and their technical teams — and with Customer Success to understand integration needs, then turn them into platform decisions
Define success through goals and key results and clear metrics per area: API uptime and SLA, time-to-integrate, MCP adoption, extraction accuracy, and reuse across teams.

Требования

6+ years in product management, with at least 3 on platform, API or developer-facing products in B2B SaaS
You've shipped and run public APIs: REST or GraphQL, OAuth and other authentication patterns, versioning, deprecation, and docs developers actually like
Hands-on experience shipping LLM features to production, whether extraction, RAG or agents. You understand evaluations, confidence scoring, failure modes and human-in-the-loop review, and can hold your own with Applied AI engineers on chunking, embeddings and model fallback
Working knowledge of MCP or agent tool-use, and a clear view on what makes a tool safe and reliable for an agent to call
Strong instincts for security and compliance with regulated data: access control, GDPR and data residency
You lead through influence. You're comfortable with internal teams as customers and can say no, or not us, clearly and with reasons
You write clearly and document decisions so others can build on them

Будет плюсом

Fintech, fund administration or private markets experience: capital calls, capital accounts, subscription documents, LP and portfolio reporting
Experience in an EU-regulated environment
You've built a Developer Portal or a partner integrations programme from zero
You've moved a capability out of one team and into a shared platform without breaking either side
Experience in a company moving from ops-led to product-led

Условия

Customizable benefits package (wellbeing, sport, mobility, food, and more)
28 days of vacation, plus 2 company days and local public holidays
Remote-flexible hybrid (3 days/week in office)
Up to 6 remote calendar weeks a year
A great tech and work setup
Work with a diverse team of 120+ bunchies from 40+ countries, with leaders who are best-in-class in their domains

Как откликнуться

First interview with the People team (30 min) – Get acquainted with and explore alignment
Hiring Manager Interview with the VP of Product (60 min) – Discuss the role, your experience and your goals
Case Interview with Product & Design (60 min) – Demonstrate how you think, work and communicate, based on a small case shared beforehand
Final meetings with key stakeholders (3 x 30 min) – Learn more about the vision and discuss open questions

Другое

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.
Resolve and document the MCP audience, governance model, and hand-off point between platform and domain teams
Agree a plan and timeline for moving extraction from the existing team onto the shared pipeline
Define a sequenced first slice, with baseline metrics for each area
A versioned public API and Developer Portal that customers integrate with
A customer-facing MCP offering live
Multiple domain teams extracting from their documents on the shared pipeline, shipping an agent on the agentic layer, without having to run a separate vector store or having to rebuild extraction from scratch
Get a feel for who we are, how we work, and what we’re building:
About – Our mission, product, and journey so far
Case Studies – About those who already build on
Gathering insights – Our latest of blog posts
Glossary – Explore commonly used private market terms