Senior AI Engineer (GTM)

Paddle; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Paddle is seeking a Senior AI Engineer to join our Data AI team and collaborate with GTM, Marketing, Sales, and RevOps. You will design and deploy AI-powered systems, build end-to-end solutions, and deliver production-ready tools used by go-to-market teams.

You'll own the lifecycle from design to deployment, balancing quality, latency, and cost while turning evolving AI capabilities into measurable business impact. Strong coding skills and system thinking are essential.

Qualifications

• Strong software engineering experience, able to take a problem from design to production.
• Hands-on experience with large language models or AI tools is preferred.
• Experience building reliable, production-grade AI systems.

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 data pipelines and services to move solutions from prototype to daily use
• Optimise systems for quality, latency and cost via evaluation, prompt design, model selection, routing, caching and context management
• Establish practical patterns for AI systems: monitoring, guardrails, documentation and clear business impact measures

Skills

Python

SQL

Software engineering

Job description

What do we do?

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 6000 software sellers in 245 territories globally.

The role:

We’re looking for an entrepreneurial and technically strong Senior AI Engineer to join our Data AI team and work with our Go-To-Market organisation.This is a builder's role, end to end. You’ll work closely with Marketing, Sales, and RevOps to solve high-value problems, design practical AI solutions and build them into reliable systems that people use every day. You’ll be expected to move comfortably from an ambiguous business challenge to a technical design, a working prototype, and then a production-ready solution.Your work could include building systems that segment and prioritise accounts, developing agents that automate sales workflows, or creating intelligent tools that help our teams research prospects and act on buying signals. You’ll own the full lifecycle of what you build, including evaluation, observability, reliability and cost optimisation.This role is ideal for someone who enjoys being close to users, can write production-quality code and is excited by the challenge of turning rapidly evolving AI capabilities into valuable commercial outcomes. Experience working with GTM teams is useful, but the ability to understand problems, build effective systems and measure their impact is more important.

What you'll do:

• Design and build AI-powered systems for account segmentation, enrichment, scoring, prioritisation and buying-signal detection
• Develop and deploy agentic workflows for use cases such as account research, outbound personalisation, call summarisation and CRM hygiene
• Write production-quality code and build the integrations, data pipelines and services required to take solutions from prototype to reliable daily use
• Optimise systems for quality, latency and cost through 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 measures of business impact

We'd love to hear from you if you:

• Have strong software engineering experience and can independently take a problem from technical design through to production; Python and SQL experience would be particularly relevant
• Have hands-on experience building applications with large language models, APIs, retrieval systems, agents or other applied AI technologies
• Understand how to evaluate and operate AI systems in production, including managing hallucination risk, latency, reliability, context limi