Q

Quantexa

AI-driven decision intelligence for risk

VP, Partner Engineering

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Proven executive leadership building partner engineering teams within enterprise software ecosystems.
  • Deep technical fluency in data platforms, artificial intelligence and machine learning, analytics, cloud integration patterns, connectors, workflow systems, and marketplace consumption architectures.
  • Experience launching production-hardened joint solutions with hyperscalers and global systems integrators, 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 proofs of value, partner certifications, deployment velocity, risk mitigation, and technical adoption key performance indicators.
  • Extensive experience in senior partner engineering, sales engineering, or ecosystem technical leadership within large-scale enterprise software or software-as-a-service companies.
  • Experience managing architect- and engineering-focused partner teams, Partner Solution Architects, and global technical enablement functions.
  • Demonstrated success driving multi-cloud partner consumption annual recurring revenue, joint solution launches, and co-sell acceleration.
  • Executive communication credibility with partner chief technology officers, chief information officers, vice presidents of engineering, and hyperscaler and global systems integrator technical leaders.
  • Comfort operating across legal, sales, product, security, presales, and partner delivery functions.
  • Willingness to travel globally more than 40%.

Responsibilities

  • Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and artificial intelligence and data collaborations.
  • Lead co-innovation blueprints and quick starts integrating the platform with Microsoft Azure, Google Cloud Platform, Amazon Web Services, Databricks, Guidewire-style decision systems, and global systems integrator solution frameworks.
  • Sponsor and govern reference architecture, connector strategy, artificial intelligence and data interoperability strategy, and workload optimization patterns for partner solutions.
  • Create enterprise-grade integration frameworks and enforce architectural guardrails to accelerate deployment while minimizing partner and customer delivery risk.
  • Partner with Product and Research and Development for cross-functional collaboration and roadmap and innovation alignment.
  • Lead, mentor, and scale a global team of Partner Solution Architects focused on joint solution architecture, partner-led proofs of concept and proofs of value, demo and sandbox platforms, deployment acceleration, and technical certifications and readiness.
  • Build a Partner Architecture Centre of Excellence.
  • Define role expectations, capability uplift plans, and partner field alignment models for Partner Solution Architects.
  • Establish a performance-driven culture anchored in partner adoption velocity, proof-of-value win rate, demo adoption, deployment acceleration, and marketplace annual recurring revenue.
  • Partner with Field Alliances, Field Engineering, and regional vice presidents to enable and ensure ecosystem attribution.
  • Own hyperscaler and industry independent software vendor technical partnership co-innovation roadmaps, ensuring marketplace-ready joint solutions, consumption and integration patterns tied to incentives, field delivery kits for Partner Solution Architects and partner sellers, and hardened reference designs for repeatable pursuits.
  • Drive global systems integrator 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.
  • Evangelize ecosystem opportunities and own hypothesis qualification for embedded or original equipment manufacturer offerings, co-developed offerings, and new pursuits.
  • Work closely with Product to define the ecosystem’s technical differentiation narrative against point solutions and platform incumbents, anchored in decision context, artificial intelligence and data intelligence, workflows, and enterprise integration depth.
  • Ensure Partner Solution Architects and partners can articulate why the platform wins architecturally, commercially, and operationally.

About the Company

Quantexa

AI-driven decision intelligence for risk

Quantexa provides decision intelligence solutions that use AI to help organizations make informed decisions by unifying data across sources. The platform targets financial institutions, government agencies, and large enterprises worldwide. It ingests and links large data sets to reveal hidden risks, detect fraud, and support regulatory compliance. The goal is to automate decision-making, improve operational efficiency, and drive revenue growth by turning data into actionable insights.

Company size
501-1,000
Company stage
Series F
Total funding
$545M
Headquarters
London, United Kingdom
Founded
2016

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