Lead Software Engineer

Introduction

We believe human progress will come from augmenting AI to the way we work. We help organisations scale results, not their headcount, with AI and automation. We achieve this through three core business areas: AI Readiness, AI Agents and Retail Media. If you want to get in on the ground floor of a fast-paced startup where your efforts have a direct impact on the success of our mission, we'd love to hear from you.

Role summary

We are looking for a Lead Software Engineer with expertise in implementing software, data and AI, especially Generative AI, at an enterprise level. The candidate will be a trusted advisor to our clients, engage with C-suite stakeholders, grow and manage accounts, and guide our clients through their AI journey.

Responsibilities include designing and architecting data and AI solutions, delivering AI Readiness Audits, executing proof-of-concepts (POCs), and integrating successful POCs into products. This role also involves strategic engineering consulting, helping clients define and implement effective engineering and AI strategies and contributing to our product roadmap. You'll drive business impact by solving real-world problems with advanced engineering.

Responsibilities and duties

• Strategic Client Ownership: Will own the relationship with large accounts and find new accounts.
• Data Leadership: Develop and execute data strategies to achieve business objectives and expand data capabilities.
• Data & AI Engineering: Design, develop, and deploy robust solutions built around data, machine learning and Generative AI models to drive actionable business outcomes.
• Software Engineering: Design, architect, implement, and deploy software solutions, including data integrations required to feed AI solutions.
• Generative AI Projects: Lead initiatives utilising cutting-edge Generative AI technologies to unlock new opportunities and solve complex client challenges.
• Team Leadership: Lead, mentor, and grow a high-performing team of engineers, ensuring project delivery excellence and professional growth.
• Work with ambiguity: Adapt to changing toolkits, models, and scopes, and manage volatile POCs and prototypes.
• Evolving landscape: Stay aware of the evolving engineering and AI landscape, and find, test, and apply appropriate tools.
• Stakeholder management: Manage multiple commercial and technical stakeholders effectively. Able to effectively manage executive stakeholders.
• Collaboration: Work closely with the sales, marketing, product, and delivery teams to align engineering efforts with overall business objectives.
• Research and Innovation: Stay updated on industry trends, competitive landscape, and emerging technologies to inform data strategies.
• Engineering Process: Introducing repeatable and scalable engineering processes.
• Client recommendations: Translate insights from data projects into actionable recommendations for clients.
• Product roadmap: Gather and synthesise customer feedback and market trends to feed back into our product roadmap.
• Recruitment: Supporting the expansion of the AI team as we grow.

Ideal candidate

• Engineering background: 10+ years in tech engineering positions, including hands-on experience in software and cloud. Exposure to devops, networking or other disciplines are also ideal.
• AI Interest: Demonstratable interest in and exposure to AI/ML engineering and the data solutions which feed AI.
• Trusted Advisor: Demonstrated success in acting as a trusted advisor for stakeholders.
• Proven Success: Demonstrated success in leading engineering projects and delivering business value, including project estimations and proposals.
• Industry Knowledge: Deep understanding of data and technology trends, with the ability to communicate complex solutions to non-technical stakeholders.
• Leadership Skills: Experience in mentoring and leading AI teams to achieve organisational goals.
• Technical skills: Strong understanding of multiple programming languages, including Python but also including other technologies such as strongly typed languages, IaC and containerisation.
• Communication: Ability to distil complex concepts into clear, compelling narratives for diverse audiences from technical teams to executives.
• Passion for Self-learning: A strong interest in the AI space and experience or interest in developing AI agents.

Nice to haves or wanting to learn on the job

• Startup or Scaleup experience: Have experience working in a fast-paced startup or scaleup technology business.
• Sales experience: Have experience closing new accounts.

Our culture and core values

As we are still in our early stages, we believe cultivating our culture and core values is going to be critical to the success of our business. Our core values are human progress, iterate quickly, further together, be dependable, and have fun. We are looking for individuals who are attracted to these values and wanting to help shape our culture as we grow.

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