At a Glance
- Tasks: Design and deploy AI systems to revolutionise sales and marketing workflows.
- Company: Join a customer-centric fintech with a strong focus on impactful AI solutions.
- Benefits: Unlimited holidays, paid family leave, learning fund, and flexible remote options.
- Other info: Collaborative culture with opportunities for professional growth and innovation.
- Why this job: Make a real impact on a global platform while working with cutting-edge AI technology.
- Qualifications: Strong software engineering skills, Python and SQL experience, and familiarity with AI technologies.
The predicted salary is between 72000 - 88000 £ per year.
Overview
In this role you will design and deploy AI-enabled systems to support Paddle's GTM team's account-based work.
You will translate business challenges into practical AI solutions, from prototype to production, impacting how sales, marketing and Rev Ops identify opportunities and streamline workflows.
You’ll own end-to-end delivery, including evaluation, observability and cost optimisation, with a focus on real-world, revenue-driven outcomes.
Join a customer-centric fintech with a strong scale and a bias for shipping useful, safe AI.
This is a hands-on builder role that blends product impact with practical engineering.
- Pay / Benefits
- unlimited holidays
- 4 months paid family leave
- learning fund and regular training
- remote-first and flexible location options
- supportive, inclusive culture
- opportunity to impact a global merchant of record platform
Responsibilities
- Design and build AI-powered systems for account segmentation, enrichment, scoring, prioritisation and buying-signal detection
- Develop and deploy agentic workflows for account research, outbound personalisation, call summarisation and CRM hygiene
- Write production-quality code and construct integrations, data pipelines and services to move solutions from prototype to daily use
- Optimise for quality, latency and cost via evaluation, prompt design, model selection, routing, caching, context management and token optimisation
- Establish practical patterns for building AI systems at Paddle, including monitoring, guardrails, documentation and clear business impact measures
- Key requirements
- Strong software engineering experience with ability to take a problem from design to production
- Python and SQL experience
- Hands-on experience with large language models, APIs, retrieval systems, agents or related AI tech
- Experience operating AI systems in production, managing hallucination risk, latency, reliability and model cost
- Comfort working with structured and unstructured data, building integrations and synthesising data from multiple sources
- Interest in commercial problems and understanding of ICP, segmentation, pipelines, buyer intent and sales workflows
- Enjoy collaborating with users and navigating ambiguity while balancing speed, quality and maintainability
- user-centric mindset
- comfort with ambiguity
- collaboration across cross-functional teams
- Python
- SQL
- large language models and AI tooling
Senior AI Engineer (GTM) employer: Paddle
Paddle is an exceptional employer that prioritises a collaborative and innovative work culture, making it an ideal place for an Engineering Manager to thrive. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to shape the future of developer experience in a dynamic environment. Located in a vibrant tech hub, Paddle offers unique advantages such as flexible working arrangements and a commitment to work-life balance, ensuring that you can excel both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (GTM)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Paddle or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Paddle.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Paddle.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Paddle that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer (GTM)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Paddle.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Paddle and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Paddle
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Paddle uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
