Technical Product Manager (Data Integrations)

New

OrcristData intelligence

Remote / Germany; Remote-first, Germany-wideFull-TimeMiddle

Salary not disclosed

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Job Details

Have 5+ years of Product Manager experience in B2B SaaS.
Have owned a technically complex area end-to-end, such as an integration platform, API product, or data pipelines.
Be comfortable reading API documentation and discussing OAuth versus API keys, polling versus webhooks, pagination, and rate limits with engineers.
Be able to try an endpoint using Postman or curl.
Have designed admin or configuration interfaces for technical users, including connection setup, status and error states, and audit trails.
Write specific product specifications and acceptance criteria that can be built and tested.
Define data quality metrics for reliability and coverage.
Understand third-party data licensing, terms of service, GDPR, and provenance requirements.
Work across engineering, partnerships, customer success, and product teams.
Be eligible to work in Germany and willing to travel to Berlin and across DACH for workshops and customer visits.
Nice to have: experience building or managing a connector framework, integration marketplace, or iPaaS product.
Nice to have: familiarity with OSINT, Kubernetes, on-prem or air-gapped deployments, entity resolution, or link analysis.

Own the provider roadmap, prioritizing sources based on analyst needs and defining completion criteria.
Talk with analysts, admins, solutions engineers, and upstream product teams to identify integration needs.
Write technical specifications covering authentication, pagination, rate limits, incremental sync, deduplication, field mapping, failure handling, and source provenance.
Decide how integrations behave across SaaS, on-prem, and air-gapped deployments.
Own connector contracts, versioning, and the process for moving providers from evaluation to production.
Design admin interfaces for connection setup, credentials, scheduling, health, status, logs, quotas, and permissions.
Collaborate with partnerships and legal to evaluate vendors and translate licensing, terms of service, storage, retention, and redistribution requirements into product requirements.
Coordinate with user-facing product teams and foundation teams to ensure incoming data supports investigations, ontology, machine learning, and processing.
Shape analyst workflows for finding and reviewing linked online identities while avoiding duplicate lookups.
Track sync success, data freshness, provider onboarding time, active connections, and failed-connection resolution time.

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