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- Tasks: Lead the development of AI systems and build a high-impact team.
- Company: Join Bolt Insight, a pioneering digital market research platform.
- Benefits: Enjoy hybrid working, stock options, and private medical insurance.
- Why this job: Make a real impact in transforming consumer intelligence with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering, with strong Python and ML/AI experience.
- Other info: Be part of a diverse team focused on innovation and personal growth.
The predicted salary is between 43200 - 72000 £ per year.
Location: Hybrid (London Office)
Salary: Competitive, plus bonus and share options
About Us: Bolt Insight is the first real‑time digital market research platform driven by people’s unique behaviours and interests. We are on a mission to unite our clients with their consumers through pioneering solutions and technology to maximise human insights and innovate!
About The Role: We are building an AI‑powered platform that will transform how Bolt Insight delivers consumer intelligence to clients. As Engineering Manager, AI & Data (Hands‑on), you will lead the development of our core AI systems while actively contributing code, especially in the early stages.
Responsibilities:
- Building the AI & Data function from the ground up, designing the technical foundation, delivering production‑ready AI capabilities, and gradually forming and leading a small, high‑impact team.
- Work closely with the CTO and have direct impact on product and business outcomes by building & leading a Snowflake‑based AI platform using Cortex AI for LLM inference, embeddings, and vector search.
- Develop Retrieval‑Augmented Generation (RAG) systems surfacing insights from over 10 years of proprietary research.
- Build client‑specific AI agents that understand business context, research history, and preferences.
- Produce APIs serving intelligent responses to internal tools and client‑facing applications.
- Fine‑tune pipelines for custom models aligned with Bolt Insight’s research methodology.
- Create evaluation frameworks and feedback loops for continuous model improvement.
Leadership & Ownership:
- Act as a hands‑on technical leader, writing production code and shaping core architecture in the early phase.
- Build and lead the AI & Data team, including AI Engineers and Data Scientists.
- Own delivery, technical standards, and engineering best practices for AI systems.
- Collaborate closely with Product and Engineering stakeholders to translate requirements into scalable solutions.
Requirements:
- Must have 5+ years of software engineering experience, with 2+ years focused on ML/AI systems.
- Strong Python skills with production experience and hands‑on experience building LLM‑powered applications (RAG, embeddings, prompt engineering).
- Experience with cloud data platforms and modern data infrastructure, with proven track record of shipping ML systems to production.
- Strong communication skills—ability to work with technical and non‑technical stakeholders.
Nice to Have:
- Experience with model fine‑tuning and customization.
- Background in market research, consumer insights, or B2B SaaS.
- Experience leading or mentoring engineers.
- Familiarity with ML evaluation frameworks and monitoring.
What You Can Expect:
Bolt Insight is a maturing, ambitious and progressive start‑up. We are a diverse team with a strong work ethic and mission to deliver HUMAN FIRST market research. Our clients love experiencing EXCEPTIONAL GROWTH through our innovative solutions and approach and the support that they receive across our whole team, which makes working here very rewarding. We support our people by creating community, offering flexibility and plenty of opportunity for you to explore your own ideas and take on more responsibility and OWN IT – all this, makes Bolt Insight a pretty awesome place to be. We have an office in London, and we offer remote working, we STAY CURIOUS to how our people can combine their work and life, with a focus on contribution.
Why work for Bolt Insight?
Your Work Will Make a Huge Impact And Your Voice Will Be Heard. Besides Your Salary, This Is What’s In It For Boltee’s Benefits:
- Hybrid working, also the opportunity to work in a nomadic way – we’re open, just talk to us about your dreams!
- A flexible working environment
- Stock Options
- Private Medical Insurance through Vitality
- Pension
- Business referral bonus
- Employee referral bonus
- Getting together as a team, virtually (to combine the global gang), or locally!
- In‑house recognition awards to celebrate our ‘lightening bolts’
We’re looking for somebody with initiative who can see both the business and their own growth path. It is a great time to join our team, so what are you waiting for…if all that sounds like a good fit then we can’t wait to hear from you.
Engineering Manager, AI & Data employer: Bolt Insight
Contact Detail:
Bolt Insight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, AI & Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and data. This gives you a chance to demonstrate your hands-on experience and technical prowess beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to engineering management and AI systems. Think about how you would lead a team and tackle challenges, as this will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Bolt Insight family.
We think you need these skills to ace Engineering Manager, AI & Data
Some tips for your application 🫡
Show Your Passion for AI & Data: When you're writing your application, let your enthusiasm for AI and data shine through! We want to see how your experience aligns with our mission at Bolt Insight, so share specific examples of your work in ML/AI systems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your hands-on coding experience and leadership skills, and don’t forget to mention any relevant projects that showcase your ability to build AI systems from scratch.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the role. Remember, we’re looking for strong communication skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our awesome team at Bolt Insight!
How to prepare for a job interview at Bolt Insight
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially around LLMs and RAG. Be ready to discuss your hands-on experience with Python and any projects you've worked on that relate to building AI capabilities.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed or mentored engineers in the past. Highlight your ability to communicate effectively with both technical and non-technical stakeholders.
✨Understand Bolt Insight's Mission
Familiarise yourself with Bolt Insight’s approach to market research and consumer intelligence. Be ready to discuss how your skills can contribute to their mission of delivering human-first insights and innovative solutions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on cloud data platforms, modern data infrastructure, and ML evaluation frameworks. Practising coding problems related to AI applications could also give you an edge.