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VP Engineering

CompraTica Empleos

EMP:Technology
London
Tiempo Completo
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Descripción

What we’re all.

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.Our DATA values—Determination, Ambition, Teamwork, Accountability—aren’t just operating principles, they’re our competitive advantage

We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.

As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world’s most strategic technology and consulting landscapes.

You will manage a global team of Partner Solution Architects (PSAs) responsible for hyperscaler and Industry ISV integrations and GSI technical delivery, ensure architectural excellence, and act as the executive owner of partner technical success, velocity, and co-innovation.

Make Every Decision Count with ContextThe opportunity.

Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.

This role will include:• Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem• Technical leadership of partner architecture• Management of Partner Solution Architects as Player Coach i.

  • Lead by example• Execution of joint solution engineering with hyperscalers, industry ISV’s & GSIs• Executive engagement and business impact through ecosystem consumption & marketplace ARR What you’ll be doing.

Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations.

  • Lead co-innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and.

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