VP, Partner Engineering

London, United Kingdom
5 months ago
Job Type
Permanent
Work Location
Hybrid
Posted
8 Dec 2025 (5 months ago)

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.

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Lead Solutions Architect (Digital Natives Business)

Databricks London, United Kingdom

Solutions Architect

Synthesia New York City, New York, United States
£140,000 – £230,000 pa Hybrid

Director, Defence - Sales - UK

Quantexa London, United Kingdom
Hybrid

Principal Partner Manager, GSIs

Synthesia London, United Kingdom
Hybrid

Head of EMEA Financial Services GTM

Databricks London, United Kingdom

Director, UKI Marketing

Databricks London, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.