Opportunity at
PaddleSenior AI Engineer (GTM)
Paddle operates as a Merchant of Record, providing software sellers with a unified payment infrastructure that eliminates the operational friction of handling global payments. Backed by…
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About This Role
Paddle operates as a Merchant of Record, providing software sellers with a unified payment infrastructure that eliminates the operational friction of handling global payments. Backed by investors such as KKR, FTV Capital, Kindred, Notion, and 83North, the company supports over 10,000 software businesses across 245 territories. The organization is seeking a Senior AI Engineer to join the Data and AI team and collaborate closely with the Go-To-Market organization, including Sales,…
Job Description
Paddle operates as a Merchant of Record, providing software sellers with a unified payment infrastructure that eliminates the operational friction of handling global payments. Backed by investors such as KKR, FTV Capital, Kindred, Notion, and 83North, the company supports over 10,000 software businesses across 245 territories.
The organization is seeking a Senior AI Engineer to join the Data and AI team and collaborate closely with the Go-To-Market organization, including Sales, Marketing, and RevOps. In this position, you will independently drive the complete lifecycle of practical AI solutions—from initial concept and technical design to working prototypes and production-ready systems. Your focus will be on solving commercial challenges, such as account prioritisation, outbound automation, prospect research, and sales workflow enhancement. You will manage evaluation, monitoring, reliability, and cost management for all deployed systems.
This opportunity is well-suited for an entrepreneurial engineer who enjoys collaborating directly with end-users, writes production-grade code, and thrives in ambiguous environments while balancing speed and maintainability.
Responsibilities
- Design and construct artificial intelligence systems focused on account prioritisation, segmentation, enrichment, scoring, and buying-signal detection
- Create and implement agentic workflows for tasks including outbound personalisation, call summarisation, CRM maintenance, and account research
- Develop production-quality software, data pipelines, and service integrations to transition prototypes into dependable daily tools
- Refine systems for performance, cost-efficiency, and latency through model selection, prompt design, caching, context handling, and token management
- Define internal standards for artificial intelligence applications regarding monitoring, safeguards, documentation, and business impact metrics
Requirements
- Demonstrated software engineering capability to independently guide a project from technical design through production deployment
- Practical background in developing applications utilizing large language models, retrieval systems, APIs, agents, or related applied artificial intelligence technologies
- Experience managing production-level artificial intelligence challenges, including reliability, hallucination mitigation, context boundaries, latency, and operational expenses
- Proficiency handling both structured and unstructured data while integrating information across multiple sources
Qualifications
- Proficiency in Python and SQL
- Familiarity with commercial concepts like ideal customer profiles, sales pipelines, buyer intent, and segmentation
- Prior background working alongside Go-To-Market teams
Core Skills
Benefits
- Attractive salary and stock options
- Unlimited holidays
- Enhanced parental leave
- Retirement plans
- Private healthcare
- Well-being initiatives
- Annual learning fund alongside internal and external training opportunities
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary for the Senior AI Engineer role?
The position offers a salary of USD 150,000 per year.
What is the employment type?
The role is full-time.
What are the key technical requirements for applicants?
Candidates must have strong independent software engineering experience, hands-on background building applications with large language models, APIs, agents, or retrieval systems, and the ability to operate AI systems in production while managing reliability, latency, and costs.
Is prior experience with Go-To-Market teams mandatory?
Direct experience working with GTM teams is beneficial but not essential, though candidates should be interested in commercial problems and concepts such as sales pipelines and buyer intent.
Where is the location for this position?
A specific work location is not stated in the source posting.
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