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- Tasks: Manage software delivery, improve processes, and collaborate with cross-functional teams.
- Company: Join a fast-growing tech company innovating in machine learning for sustainable manufacturing.
- Benefits: Flexible office days, impactful projects, and a chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team making real-world impacts through advanced AI solutions.
- Qualifications: Experience in software project delivery, agile methodologies, and tools like Jira required.
- Other info: This role is based in Cambridge, with no sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing tech company working at the intersection of machine learning and complex engineering, with a particular focus on helping manufacturers design and deliver better products, faster and more sustainably. Their software uses advanced, data-efficient AI to solve challenging problems in system design and calibration. Backed by major industry investors and recognised in national innovation awards, they’re scaling rapidly with a focus on impactful, real-world applications of machine learning.
Looking for a Software Delivery Manager to help bring structure, clarity, and forecasting to their internal software delivery. You’ll work alongside product and engineering teams to drive project planning, improve delivery processes, and ensure projects are well-forecasted, tracked, and delivered on time and within budget. This is not a people management role (yet), but a highly cross-functional one that requires visibility across the whole development pipeline – from initial scoping to delivery and close collaboration with technical teams.
Key Responsibilities:- Plan and forecast software delivery based on available resources, deadlines, and business goals.
- Improve project visibility through better sprint planning, metrics, and automated reporting (using tools like Jira).
- Drive agile practices (Scrum/Kanban) and balance them with traditional project methods when appropriate.
- Report effectively to stakeholders with reliable data and clear updates.
- Collaborate cross-functionally with engineering, product, finance, and technical leads.
- Building accurate delivery forecasts and timelines.
- Helping teams shape and scope new projects from early concept to delivery.
- Understanding how much work they can take on based on team capacity.
- Supporting a shift toward more productised, software-led delivery.
- Supporting internal delivery – no customer ownership, but may work closely with teams that do.
- Strong experience delivering software projects end-to-end.
- Excellent planning, forecasting, and project tracking skills.
- Hands-on experience with agile methodologies (Scrum/Kanban).
- Proficient with tools like Jira and able to create meaningful reports.
- Confident working across teams and managing multiple priorities.
- Exposure to AI/ML or a fast-learning mindset.
- Background in deep tech, engineering, or complex software environments.
- Understanding of metrics, forecasting, and delivery KPIs.
- Project management certifications (e.g., Scrum Master, PMP, PRINCE2) - not essential but definitely beneficial.
- Strong engineering understanding (you don’t need to code, but must “get it”).
- Not overly corporate or process-heavy with no hands-on experience.
- Not purely execution-focused without strategic or operational understanding.
- Someone who can do the work and optimise how it’s done.
If this sounds like you, then please apply ASAP with your CV to stand the best chance of getting an interview!
Software Delivery Manager employer: Zebra People | B Corp™
Contact Detail:
Zebra People | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Delivery Manager
✨Tip Number 1
Familiarise yourself with agile methodologies, particularly Scrum and Kanban, as these are crucial for the Software Delivery Manager role. Consider joining online forums or local meetups to discuss best practices and gain insights from others in the field.
✨Tip Number 2
Get hands-on experience with project management tools like Jira. If you haven't used it before, there are plenty of tutorials available online that can help you understand how to create reports and track project progress effectively.
✨Tip Number 3
Network with professionals in the AI/ML space, as having a background or understanding of these technologies can set you apart. Attend industry conferences or webinars to connect with potential colleagues and learn about current trends.
✨Tip Number 4
Prepare to demonstrate your ability to balance multiple priorities and manage cross-functional teams. Think of examples from your past experiences where you've successfully navigated complex projects and be ready to share these during your interview.
We think you need these skills to ace Software Delivery Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in delivering software projects end-to-end. Emphasise your planning, forecasting, and project tracking skills, as well as your hands-on experience with agile methodologies like Scrum and Kanban.
Showcase Relevant Tools: Mention your proficiency with tools like Jira in your application. Provide examples of how you've used these tools to create meaningful reports and improve project visibility.
Highlight Cross-Functional Collaboration: In your cover letter or application, discuss your experience working across teams, particularly with engineering, product, finance, and technical leads. This role requires strong collaboration skills, so make sure to illustrate your ability to manage multiple priorities effectively.
Express Your Understanding of AI/ML: If you have any exposure to AI or machine learning, be sure to mention it. Even if it's not a must-have, showing a fast-learning mindset and an understanding of deep tech can set you apart from other candidates.
How to prepare for a job interview at Zebra People | B Corp™
✨Showcase Your Project Management Skills
Be prepared to discuss your experience in delivering software projects end-to-end. Highlight specific examples where you successfully planned, forecasted, and tracked project progress, especially using tools like Jira.
✨Demonstrate Agile Methodology Knowledge
Since the role requires hands-on experience with agile methodologies, be ready to explain how you've implemented Scrum or Kanban in past projects. Share any challenges you faced and how you overcame them.
✨Understand the Company’s Focus
Research the company’s work at the intersection of machine learning and engineering. Be prepared to discuss how your background aligns with their mission to improve product design and delivery through advanced AI.
✨Prepare for Cross-Functional Collaboration
The role involves working closely with various teams. Think of examples where you successfully collaborated across functions, managed multiple priorities, and communicated effectively with stakeholders to ensure project success.
