At a Glance
- Tasks: Lead a dynamic engineering team to deliver cutting-edge AI products and transform processes.
- Company: Whitespace, a mission-driven tech company with strong growth potential.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Join a collaborative culture focused on quality, speed, and continuous improvement.
- Why this job: Shape the future of engineering in high-stakes environments and drive innovation.
- Qualifications: Proven leadership in fast-growing software companies and experience with AI integration.
The predicted salary is between 100000 - 150000 ÂŁ per year.
The Head of Engineering is responsible for leading our multi-disciplinary engineering team at Whitespace, with overall accountability for delivery, quality, and the growth and performance of the team. You will work alongside our Head of Product & Design to scale and nurture an integrated product and engineering team that is delivering a range of cutting-edge applied AI products to mission-critical environments, applying the latest thinking in knowledge graphs, hybrid multi-agent systems, distributed systems, and more. You will set a clear pace, lead with high quality and security standards, and create the conditions where great engineers can move quickly, take smart risks, and do their very best work.
As we reinvent our processes to make the most of both human and machine capabilities, youâll need to constantly ask âhow can we go faster without compromising our clients or our reputation?â Youâll join a well-funded team with strong technical foundations, proven product-market fit, true purpose and real ambition. Our strategic technical priority is developing and harnessing the next generation of our cutting-edge decision superiority platform, Collective, applying its capabilities to unify our established products and point consulting solutions into a scalable, repeatable, connected ecosystem. The challenge is not only to scale what we already have, but to lead transformation with clarity and conviction, rethinking how a modern engineering organisation should operate in a world shaped by rapid iteration and AI-assisted development.
Duties and Responsibilities
- Instil a test-first, evaluation-driven mindset across the engineering organisation, leading by example.
- Codify engineering standards - both âfunctionalâ and ânon-functionalâ - through automated tests, to enable us to ship fast without breaking things.
- Build systems and practices that support both human engineers and AI agents delivering at scale into production environments.
- Establish engineering foundations that make it faster and easier to transform consulting-led solutions toward reusable products on a common platform.
- Set and uphold high engineering standards with clear accountability and continuous improvement loops.
Velocity, Systems Thinking and Innovation
- Rethink processes from first principles, especially in the context of human and AI collaboration, balancing risk appetite against velocity.
- Assume todayâs process is already out of date, and redesign accordingly to get the most out of emerging capabilities.
- Drive the shift from one-off solutions to reusable products that build on and reinforce shared platform capabilities.
- Ensure experimentation, measurement, and fast iteration are the default, not exceptions.
Team, Talent and Performance
- Lead and develop our Engineering Managers and Principal Engineers who report into this role, setting clear expectations and building the leadership depth the organisation needs to scale.
- Recruit, develop, and retain exceptional engineering talent.
- Partner with the CTO to design the incentives, structures, and ways of working that enable people to perform at their best.
- Use our mission and culture to build an engineering team that sets the standard for how AI-native software gets built for high-stakes environments.
Leadership and Collaboration
- Partner closely with the CTO to shape engineering strategy and execution.
- Carry the room on difficult decisions and adapt style to help manage teams through significant change.
- Handle sceptical stakeholders by showing the work, not by selling it.
- Create an environment where people feel safe to experiment, challenge assumptions, and push boundaries.
Requirements
- Significant experience leading and scaling Engineering functions in fast-growing software product companies, with a track record of shipping to production at high frequency.
- Proven experience transforming engineering ways of working, promoting progressive techniques like trunk-based development, continuous delivery and test and evaluation-driven practices, and setting ambitious, measurable productivity targets that drove systemic change.
- Practical experience of agentic delivery, embedding AI coding tools and agents into real engineering workflows.
- Experience working within or alongside defence, national security, or regulated industry contexts, with a practical understanding of the associated security, compliance, and accreditation requirements.
Technical Skills
- Deep understanding of modern software architecture, distributed systems, and platform engineering, with the credibility and judgement to shape technical decisions at platform and portfolio level.
- Fluency with the agentic engineering landscape, covering coding agents, evaluation frameworks, context engineering, agent-assisted and autonomous code review, internal plugin and skill platforms, and the telemetry needed to measure and improve human and agent performance.
- Strong grounding in a range of languages, continuous delivery tooling, CI/CD, feature-toggle infrastructure, observability, and automated testing and evaluation at scale.
- Experience supporting a wide range of deployment targets, from cloud and on-premise to virtual machines, bare metal, and embedded devices, and a solid understanding of secure software development and supply-chain integrity in regulated delivery pipelines.
Skills and Behaviours
- Quality-first: treats quality, testing and evaluation as enablers for high velocity, and security and reliability as first-class engineering concerns, especially when agents are in the loop.
- Opinionated leader: holds a clear, evidence-based point of view on how modern, agent-first engineering organisations should operate, and brings others with them.
- Decisive and outcome-driven: sets ambitious, measurable productivity goals, uses them to expose and systematically remove bottlenecks, using AI thoughtfully as a force multiplier.
- Builder of people: recruits, develops, and retains exceptional engineers, and lifts the standards of everyone around them, especially in their adoption of agentic tooling.
- Pragmatic and resilient: balances technical ambition with commercial and programme realities, thriving in a fast-changing environment with significant ambiguity.
Mission and Opportunity
- Work in a serious, mission-driven company with enormous growth potential where our software has to hold up under real pressure.
- Build a new advanced platform while transforming existing products and consulting outputs into scalable offerings.
- Set the template for how engineering is done at scale in defence, national security and highly regulated settings.
Head of Engineering in Bolton employer: Whitespace
Contact Detail:
Whitespace Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Head of Engineering in Bolton
â¨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is your chance to demonstrate your engineering prowess and innovative thinking, especially in areas like AI and distributed systems.
â¨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to engineering leadership. Think about how you would handle team dynamics, project challenges, and the integration of AI tools in your workflows. Confidence is key!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our mission-driven team at Whitespace.
We think you need these skills to ace Head of Engineering in Bolton
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the Head of Engineering role. Highlight your experience in leading engineering teams and any relevant projects that showcase your ability to deliver high-quality software in fast-paced environments.
Showcase Your Technical Skills: Donât hold back on your technical expertise! Include specific examples of your experience with modern software architecture, distributed systems, and AI integration. We want to see how youâve applied these skills in real-world scenarios.
Demonstrate Leadership Experience: As a potential leader, itâs crucial to illustrate your ability to develop and mentor engineering talent. Share stories about how you've built strong teams and fostered a culture of innovation and collaboration.
Apply Through Our Website: We encourage you to submit your application through our website. Itâs the best way for us to receive your details and ensures youâre considered for this exciting opportunity. Plus, it shows youâre keen to join our mission-driven team!
How to prepare for a job interview at Whitespace
â¨Know Your Stuff
Make sure you have a solid understanding of modern software architecture and distributed systems. Brush up on your knowledge of AI coding tools and agent-assisted workflows, as these are crucial for the Head of Engineering role. Be ready to discuss how you've applied these concepts in past projects.
â¨Showcase Your Leadership Style
Prepare to talk about your experience leading engineering teams and how you've fostered a culture of innovation and experimentation. Think of specific examples where you've set high standards and helped your team thrive, especially in fast-paced environments.
â¨Be Ready for Technical Challenges
Expect technical questions that test your problem-solving skills and your ability to think critically about engineering processes. Practice articulating how you would approach redesigning processes for better collaboration between human engineers and AI agents.
â¨Align with Their Mission
Research Whitespace's mission and values, and be prepared to discuss how your vision aligns with theirs. Show enthusiasm for their focus on cutting-edge AI products and how you can contribute to building a high-performing engineering team that meets their ambitious goals.