Senior AI Engineer (GTM)

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 RevOps 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

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