Senior Manager, Product Security

Databricks
United Kingdom
3 weeks ago
Seniority
Senior
Posted
9 Apr 2026 (3 weeks ago)

RDQ426R108

About the Role

  • Lead a team dedicated to embedding security into Databricks’ core platforms — including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks.

  • Shape company-wide security architecture by driving “secure-by-default” platforms, opinionated frameworks, and systemic guardrails.

  • Partner closely with engineering teams to make the secure path the easiest path.

  • Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage.

  • Set technical direction and empower engineers to build secure systems at massive scale.


The Impact You Will Have

  • Build secure platforms: Integrate security into infrastructure and platform systems from the ground up.

  • Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption.

  • Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root-cause fixes across product areas.

  • Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions.

  • Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively.

  • Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk.


What We Look For

  • Deep technical background in distributed systems, cloud, or platform security.

  • Proven experience securing large-scale, multi-tenant architectures.

  • Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries.

  • Comfortable influencing principal engineers and product roadmaps.

  • Demonstrated success leading technically senior engineers with high autonomy.

  • A mindset that focuses on failure chains, not just individual vulnerabilities.

  • Passion for building security solutions that are scalable, elegant, and frictionless for developers.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Related Jobs

View all jobs

Senior Manager (National Security)

Faculty AI London, United Kingdom
£80,000 – £120,000 pa On-site Clearance Required

Senior Manager

Faculty AI London, United Kingdom
Hybrid Clearance Required

Senior Manager (AI Safety)

Faculty AI London, United Kingdom
Hybrid

Senior Product Manager, Analytics (m/f/d)

awin London, United Kingdom
£50,000 – £70,000 pa Hybrid

Delivery Manager

Faculty AI London, United Kingdom
Hybrid

Delivery Manager (AI Safety)

Faculty AI London, United Kingdom
Permanent

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown 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 data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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 Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.