Director of Engineering Productivity – Operations

Job not on LinkedIn

🔥 2 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 10%

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Logo of Matillion

Matillion

501 - 1000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Matillion is a company that provides a comprehensive platform for building and managing data pipelines, creating no-code data transformations, and delivering data for AI and analytics at scale. The platform supports generative AI by enabling the use of unstructured data and creating AI pipelines. Matillion also offers features for automation and management, security, and data connectivity, allowing users to connect any data source to a preferred cloud data platform with pre-built or custom connectors. With capabilities in ETL processes, Matillion allows for data cleansing, transformation, and aggregation using both no-code and high-code methods. The company serves various industries including financial services, healthcare, and retail, helping organizations leverage their data to drive productivity, profits, and innovation.

📋 Description

• Lead how the engineering organisation builds, delivers and operates the Maia AI Data Automation platform • Set and lead the engineering productivity strategy, driving an agentic software delivery model across planning, coding, testing, review and deployment • Own the roadmap for shared engineering platforms and delivery capabilities, including CI/CD, release automation, observability and developer experience • Run the engineering operating rhythm and metrics framework, providing leadership visibility into delivery, quality, reliability and cost • Lead engineering FinOps and cloud cost optimisation with CloudOps analysts • Manage the engineering tooling portfolio, including vendor evaluation, contract negotiation and renewals • Lead a team spanning developer experience, release engineering and CloudOps • Partner with Finance, Procurement, Legal and Security

🎯 Requirements

• Significant engineering leadership experience in SaaS, cloud platform, DevOps, developer experience, SRE or engineering productivity organisations • Practical understanding of AI-assisted and agentic software development • Ideally having led a team that builds AI agents or tooling for engineers, or a genuine drive to learn it fast • Experience running engineering operations, with a track record of measuring productivity through outcomes rather than activity • Hands-on experience with cloud cost management, vendor and contract management, and technical procurement • Excellent communication and sound commercial judgement • Ability to influence engineering, finance and executive stakeholders

🏖️ Benefits

• Company Equity • 30 days holiday + bank holiday • 5 days paid volunteering leave • Private Health Insurance • Life Insurance • Pension • Access to mental health support • Flexible working culture that promotes work-life balance

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