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For Companies At a Glance
- Tasks: Lead engineering teams, define tech roadmaps, and drive innovation in AI-driven solutions.
- Company: Join a cutting-edge AI-native B2B SaaS company with exciting growth after Series B funding.
- Benefits: Enjoy a dynamic work environment, opportunities for remote work, and competitive perks.
- Why this job: Shape the future of engineering with AI, tackle complex challenges, and foster a collaborative culture.
- Qualifications: 12-15 years in software engineering, team leadership, and experience scaling engineering organisations.
- Other info: Ideal for those passionate about driving impactful AI products and building high-performing teams.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
VP Engineering, AI-Driven B2B SaaS (Series B)
Join an AI-native B2B company that has just raised Series B funding and is hiring a VP Engineering to lead the next phase of growth.
This is a true VPE role (not CTO), reporting to the CEO, and is responsible for scaling the engineering organisation from to 30+ over the next 12–18 months.
The Mission
- Tackling complex engineering challenges – The company builds advanced tools that help engineers address problems once considered too difficult or resource-intensive using conventional approaches. These solutions span areas such as performance optimisation, safety testing, and advanced materials.
- Speeding up innovation cycles – The company’s technology is designed to shorten the journey from concept to launch. By equipping engineers with powerful AI-driven capabilities, it enables faster progress across all stages of product development.
- Harnessing AI and data to drive decisions – The company applies intelligent, data-led models that learn, adapt, and predict. This makes it possible to anticipate issues, refine designs, and unlock new opportunities for innovation early in the process.
The Role
As VP Engineering you will own:
- Tech Roadmap & Execution: Define, drive, and deliver the roadmap in alignment with product and company strategy.
- Team Leadership & Growth: Attract, hire, onboard, and retain top engineering talent.
- Engineering Excellence: Instil strong architectural direction, lean processes, and delivery discipline across teams.
You’ll be both strategic and hands-on, leading from the front technically and organisationally.
Ideal Profile
- 12–15 years total experience: Started out as a hands-on engineer; transitioned into leading teams, then managers.
- Built it: Deep technical experience in at least two of the following:
- Software Engineering (Cloud/SaaS)
- Data Architecture
- Applied AI (Application layer)
- Scale exposure: Has led engineering orgs of 30+ and experienced scale-up growth on both technical and commercial sides.
- Outcome-driven: Understands engineering as a lever for business value – makes tradeoffs based on customer impact, ROI, and velocity.
What We’re Looking For
Technical & Execution Leadership
- Brings architecture-level clarity and technical rigor.
- Drives repeatable, high-quality releases and platform reliability.
- Holds teams accountable with data, KPIs, and clear decision frameworks.
- Prioritises effectively with limited information.
Team & Culture Building
- Builds strong engineering management capability from the ground up.
- Motivates and aligns teams through a compelling tech vision and execution cadence.
- Creates a safe, high-trust environment where feedback and collaboration are the norm.
- Can attract top-tier talent and elevate the performance of existing teams.
Executive Presence
- High-energy, high-ownership operator – can raise the heartbeat of the org.
- Proven in making complex, high-stakes initiatives succeed.
- Balances intuition with data, and knows how to drive action amidst ambiguity.
Bonus
- Experience in a company that has scaled or exited.
- Strong cross-functional instincts – knows how to partner with product, data, and commercial leads.
If you’re a technically credible leader who’s scaled teams, delivered platforms, and wants to shape a high-impact AI product company from the ground up – this is for you.
Vice President of Software Engineering employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President of Software Engineering
✨Tip Number 1
Network with professionals in the AI and SaaS industries. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and industry leaders. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Showcase your leadership experience by discussing specific examples of how you've scaled engineering teams in previous roles. Be prepared to share metrics that demonstrate your impact on team performance and project outcomes.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and data-driven decision-making. Being knowledgeable about current technologies and methodologies will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss your vision for the engineering roadmap and how it aligns with the company's goals. Articulate how you would approach building a high-performing team and fostering a culture of innovation and collaboration.
We think you need these skills to ace Vice President of Software Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, team leadership, and scaling engineering organisations. Use specific examples that demonstrate your technical expertise and leadership skills relevant to the role.
Craft a Compelling Cover Letter: Write a cover letter that clearly articulates your vision for the VP Engineering role. Discuss how your background aligns with the company's mission of leveraging AI to solve complex engineering challenges and your approach to building high-performing teams.
Showcase Relevant Achievements: In your application, include quantifiable achievements that showcase your ability to drive innovation and deliver results. Highlight any experience you have with cloud/SaaS, data architecture, or applied AI, as these are key areas for the position.
Demonstrate Cultural Fit: Research the company culture and values, and reflect this understanding in your application. Emphasise your ability to create a safe, collaborative environment and your experience in attracting and retaining top talent.
How to prepare for a job interview at numi
✨Showcase Your Technical Expertise
As a VP of Engineering, it's crucial to demonstrate your deep technical knowledge. Be prepared to discuss your experience with software engineering, data architecture, and applied AI. Highlight specific projects where you tackled complex engineering challenges and how your solutions drove business value.
✨Emphasise Leadership Experience
This role requires strong team leadership skills. Share examples of how you've successfully built and scaled engineering teams in the past. Discuss your approach to attracting, hiring, and retaining top talent, as well as how you've fostered a culture of collaboration and innovation.
✨Align with Company Vision
Understand the company's mission and how it leverages AI to drive innovation. During the interview, articulate how your vision aligns with theirs and how you can contribute to their goals. This shows that you're not just a fit for the role but also passionate about the company's objectives.
✨Prepare for Strategic Discussions
Expect to engage in conversations about tech roadmaps and execution strategies. Be ready to discuss how you prioritise projects based on customer impact and ROI. Demonstrating your ability to make data-driven decisions will be key in showcasing your strategic mindset.
