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.
