Partner Development Manager

This role is about building a partner ecosystem so the company's document extraction API gets embedded in other platforms, data pipelines, and vertical software. A strong candidate has several years of B2B partnerships or channel work at an API first or data infrastructure company, and has signed partners and turned them into real pipeline and revenue. Comfort with API documentation, integration scoping, and partner economics such as revenue share and usage based pricing matters more than deep engineering skill. How it fits the AI era The product itself is AI driven document understanding, so partners are integrating a model based extraction engine rather than a simple parser. The work of finding partners, scoping embeds, negotiating terms, and running co-sell motions stays human and relationship heavy. AI tools may speed up research and CRM upkeep, but trust with partner product and sales teams is what closes deals. How it builds AI experience Working here gives direct exposure to how vision language models and layout models get packaged into an API that other companies embed. A candidate can build this by learning how extraction APIs are documented and priced, and by understanding where document processing gaps appear in data platforms and vertical software. Familiarity with OCR, NLP, or ML platforms helps but can be grown on the job. Worth showing Signed and scaled tech partners API and integration fluency Partner economics and pricing Co-sell and deal registration Early partner program building This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About Pulse A production-grade unstructured document extraction engine converting complex PDFs, financial filings, and visual charts into clean structured data. #J-18808-Ljbffr present of AI