Leads software development teams responsible for a contract platform and CMS, setting technical direction, coaching developers, managing delivery, and advancing practical AI-assisted engineering practices.
Director of Engineering Productivity and Operations
📜 Description
- Set the engineering productivity strategy and advance agentic software delivery 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 engineering operating rhythms and metrics that show delivery, quality, reliability, and cost.
- Lead engineering FinOps and cloud cost optimisation, including forecasting, accountability, and sustainable savings.
- Manage engineering tools end to end, including vendor evaluation, contract negotiations, and renewals.
- Lead teams spanning developer experience, release engineering, and CloudOps, partnering with engineering leaders and Finance.
🛠️ Requirements
- Significant engineering leadership experience in SaaS, cloud platform, DevOps, developer experience, SRE or engineering productivity organisations.
- A 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, with the 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
- Your Safety
Full job description
Are you ready to shape the future of data?
Matillion is the company behind Maia, the AI Data Automation platform.
In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster.
We started in Manchester and now we’re global - with teams across the UK, US and India.
We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.
About the Role
We're looking for a Director of Engineering Productivity & Operations to lead how our engineering organisation builds, delivers and operates the Maia platform. You'll own the strategy and execution behind our engineering productivity agenda, including the evolution of our software development lifecycle towards an increasingly agentic model, alongside the operational disciplines that keep engineering efficient: metrics, reporting, cloud and tooling spend, and vendor management. Working closely with engineering leaders across the business and with Finance, you'll lead a team spanning developer experience, release engineering and CloudOps, and have real scope to shape the role and make it your own.
What you will be doing
Setting and leading the engineering productivity strategy, driving the move towards an agentic software delivery model across planning, coding, testing, review and deployment.
Owning the roadmap for shared engineering platforms and delivery capabilities, including CI/CD, release automation, observability and the developer experience.
Running the engineering operating rhythm and a trusted metrics framework, giving leadership clear visibility of delivery, quality, reliability and cost.
Leading engineering FinOps and cloud cost optimisation, working with your CloudOps analysts to build forecasting, accountability and sustainable savings.
Managing the engineering tooling portfolio end to end, including vendor evaluation, contract negotiation and renewals, in partnership with Finance, Procurement, Legal and Security.
What we are looking for
Significant engineering leadership experience in SaaS, cloud platform, DevOps, developer experience, SRE or engineering productivity organisations.
A 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, with the ability to influence engineering, finance and executive stakeholders.
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