Aurora Energy Research
Modelling Software Engineering Manager

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Modelling Software Engineering Manager
Manager, Origin Model Development Team
Department
Tech – Model & Platform Engineering
Location
Oxford, UK
About the Role
The Origin Model sits at the heart of Aurora’s forecasting capability, enabling governments, investors, and utilities to make multi-billion-pound decisions on the path to net zero. The models span energy markets globally, translating complex energy system dynamics into robust, scalable software that underpins our market outlooks, client insights, and software platforms.
We are recruiting for a dedicated manager of the Origin Model Development team—a team of 3–4 squads (roughly 15–20 engineers) responsible for building and operating these critical models and the platform that runs them. Your key responsibilities will include:
- Supporting the team
- Ensuring delivery stays on track
- Building a strong hiring pipeline
This is a management role, not a technical lead role. However, it requires genuine technical credibility, as you must understand the nuances of what your engineers work on and recognise when technical issues are causing delivery delays. A proven track record of production software engineering and practical experience form the foundation of this role.
Your success will be measured by producing a team that is high-performing and truly happy to be there. For us, these two things are inseparable: engineers who feel supported, challenged, and recognised ultimately deliver better work.
You will report to the Head of Model & Platform Engineering and play a key role in the development of Model & Platform Engineering’s leadership.
Aurora takes its mission seriously—we are humble, honest, and direct. The team that operates at its best thrives on vulnerability, learning from mistakes, and enjoyable collaboration. You will shape the culture of the Origin Model Development team and set the workplace expectations.
Key Responsibilities
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Team dynamics & happiness
- Foster a high-performing team where engineers feel challenged, recognised, and safe to raise problems early—whether directly to you or among their peers.
- Ensure a workplace where genuine technical and personal growth feel possible and expected.
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Leadership & people development
- Line-manage the team’s most senior engineers, including:
- Regular 1:1s
- Performance reviews
- Development & career discussions
- Uphold line-management standards across the entire team, including:
- Training squad leads to manage their teams effectively
- Serving as the escalation point for serious performance or HR concerns
- Line-manage the team’s most senior engineers, including:
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Delivery management
- Oversee 3–4 squads with a focus on:
- Sprint cadence
- Capacity planning
- Blocker resolution
- Ensuring process quality
- Maintain a strong enough technical understanding to distinguish whether delivery issues stem from technical or organisational challenges
- Oversee 3–4 squads with a focus on:
-
Technology & delivery practices
- Continuously raise the bar through:
- Modern Agile/Continuous Delivery practices
- Healthy sprint workflows
- Predictable, high-quality delivery discipline
- Drive continuous improvement by:
- Identifying bottlenecks and inefficiencies
- Implementing process/tooling changes (including leveraging AI where it measurably improves delivery, e.g., requirements gathering, flow metrics, or sprint analytics)
- Prioritising flow metrics and driving delivery signal clarity
- Continuously raise the bar through:
-
Alignment with Product & Business Outcomes
- Partner with Product Engineering to ensure:
- Delivery aligns with commercial priorities
- Realistic capacity is considered in prioritisation decisions
- Partner with Product Engineering to ensure:
-
Training & upskilling
- Identify skill gaps across the team, whether:
- Technical (e.g., model development, platform architecture)
- Process-based (e.g., Agile, CI/CD)
- Organisational (e.g., sprint velocity tracking)
- Own an actionable training plan with measurable outcomes
- Identify skill gaps across the team, whether:
-
Hiring & recruitment
- Have end-to-end responsibility for hiring:
- Defining job specs
- Technical screening and candidate evaluations
- Interview coordination and hiring recommendations
- Have end-to-end responsibility for hiring:
-
Cross-team collaboration
- Ensure clear, productive working relationships with:
- Product Engineering
- Modelling team
- Manage dependencies and deliverables unambiguously, maintaining smooth cross-functional workflows
- Ensure clear, productive working relationships with:
Skills, Knowledge & Expertise
Required Attributes
✔ 4–6+ years of engineering management experience with:
- A track record of managing mixed technical squads (e.g., some engineers focused on commercial software, others on scientific data engineering). ✔ Strong software engineering background, including:
- Writing and maintaining production code in a professional setting
- Ability to hold a technically credible conversation with Senior/Principal engineers
- Deep understanding of real-world costs, processes, and priorities faced by engineers ✔ Hands-on experience applying modern Agile/Continuous Delivery practices, with:
- Direct experience raising delivery maturity (not just applying arbitrary processes) ✔ Proven people management track record, particularly around:
- Direct feedback
- Development planning
- Follow-through on performance (beyond annual reviews) ✔ Strong delivery instincts, including:
- Recognising when a sprint is off track
- Distinguishing between technical and organisational bottlenecks ✔ Experience owning recruitment fully, including:
- Building job specs
- Coordinating interviews
- Making hiring decisions based on team needs and culture fit


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✔ Direct communicator who:
- Escalates clearly when issues arise
- Avoids ambiguity—difficult conversations are handled proactively
Desirable Attributes
✅ Experience managing disparate engineering roles, such as:
- Platform-Infra (systems & services)
- Domain-specific software (e.g., epidemiological modelling, statistical modelling, financial applications)
✅ Commercial awareness, including:
- Understanding how engineering decisions impact our business and customers
- Effective collaboration with Product & commercial stakeholders
✅ Demonstrated interest in AI tools for engineering delivery, such as:
- Automating requirements clarifyation (e.g., via generative AI)
- AI-powered flow metrics to highlight risks in sprints
- AI-driven sprint analytics for team health tracking
Benefits
Aurora offers a flexible, supportive, and interesting place to work. Some of the benefits you’ll enjoy include:
- Private Medical Insurance
- Dental Insurance
- Parental Support (childcare subsidies, flexible policies)
- Salary-exchange Pension (automatic deferral with 4% contribution)
- Employee Assistance Programme (EAP)
- Local Oxford Discounts (food, fitness, entertainment)
- Cycle-to-work Scheme
- Seasonal Flu Jabs
We are committed to offering flexible work policies. Most roles are hybrid, blending in-office and remote work. Adjustable working hours are negotiable to match individual preferences.
Aurora embraces inclusivity and equality, adhering to the principle:
No applicant or employee should face unfavourable treatment based on age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage/civil partnership, pregnancy, or maternity.
How to Apply
Please submit:
- Your Résumé / CV
- A personal summary
- Your salary expectations
- Your notice period
Application Guidelines: 🔴 Only submissions via the provided job portal will be reviewed. 🔴 Email, phone, or social media applications will not be considered.
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