Senior AI Engineer (GTM)

Paddle
United Kingdom, Toronto
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Communication","Adaptability","Cross-functional collaboration","Ownership"]

Build and ship production-ready AI systems for Paddle’s Go-To-Market organization end to end. Partner with Marketing, Sales, and RevOps to design practical solutions such as account segmentation, enrichment, scoring, and buying-signal detection. Develop agentic workflows for account research, outbound personalization, call summarization, and CRM hygiene, owning evaluation, observability, reliability, and cost optimization.

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FursaFursa
Paddle
Paddle
19 hours ago

Senior AI Engineer (GTM)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and ship production-ready AI systems for Paddle’s Go-To-Market organization end to end. Partner with Marketing, Sales, and RevOps to design practical solutions such as account segmentation, enrichment, scoring, and buying-signal detection. Develop agentic workflows for account research, outbound personalization, call summarization, and CRM hygiene, owning evaluation, observability, reliability, and cost optimization.
Location: United Kingdom, Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 build integrations, data pipelines, and services to move from prototype to reliable daily use.
  • •Optimise systems for quality, latency, and cost using evaluation, prompt design, model selection, routing, caching, context management, and token optimisation.
  • •Establish repeatable patterns for building AI systems at Paddle, including monitoring, guardrails, documentation, and measures of business impact.

Pay and Benefits

Perks:Paid LeaveLearning Budget

Key Requirements

  • •Strong software engineering experience to take a problem from technical design through to production (Python and SQL experience is particularly relevant).
  • •Hands-on experience building applications with large language models, APIs, retrieval systems, agent workflows, or other applied AI technologies.
  • •Ability to evaluate and operate AI systems in production, including hallucination risk, latency, reliability, context limits, and variable model costs.
  • •Comfort working with structured and unstructured data, building integrations, and combining information from multiple sources.
  • •Interest in commercial GTM problems such as ICP, segmentation, buyer intent, and sales workflows, with willingness to measure impact.
Experience:GTMAILarge language models
Skills:Problem-solvingCommunicationAdaptabilityCross-functional collaborationOwnership
Tech Stack:PythonSQLAPIsLarge Language ModelsRetrieval systemsAgentsCRMPrompt designCachingToken optimisation

Company Brief

Paddle
Paddle is a merchant-of-record platform that handles payments, billing, taxes, fraud and compliance for SaaS and digital product companies, enabling sellers to manage global commerce and subscriptions through a single payments infrastructure.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: London, United Kingdom
Founded: 2012
Glassdoor
Glassdoor: 3.3
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