VP, Partner Engineering job opportunity at Quantexa.

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Date2025-12-08T17:02:29.414Z bot
Quantexa VP, Partner Engineering
Experience: General
Pattern: Full-time
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Partner Engineering

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loacation London, United Kingdom
loacation London....United Kingdom

What we’re all about. 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 Context The 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 including: 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.e. 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 GSI solution frameworks. Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions. Create enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk. Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation Lead, mentor, and scale a global team of Partner Solution Architects focused on: Joint solution architecture Partner-led PoCs/PoVs Demo and sandbox platforms Deployment acceleration Technical certifications and readiness Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry. Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs. Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR. Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring: Marketplace-ready joint solutions Consumption and integration patterns tied to incentives Field delivery kits for PSA + partner sellers Hardened reference designs for repeatable pursuits Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators. Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints. Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents. Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally. What you’ll bring. Proven executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes. Ability to translate platform capability into partner-owned architectures that scale across customer estates. Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies. Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions. Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration. Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders. Comfort operating across legal, sales, product, security, presales, and partner delivery functions. Willingness to travel globally (>40%). Why Join Us (Executive Value Proposition) Category leadership at the intersection of decisions, data, and AI. Unmatched hyperscaler and GSI ecosystem momentum ready for global technical scale. Opportunity to build a Partner Engineering org that sets industry standards for consumption velocity and architectural repeatability. A culture where DATA values drive outcomes A leadership team that rewards ownership, technical truth, ecosystem impact, and co-innovation at scale.

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