[All remote jobs](https://jobicy.com/jobs.md)[![Paddle logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/28ca3645-221.png)](https://jobicy.com/company/paddle.md)[Paddle](https://jobicy.com/company/paddle.md) # Senior AI Engineer (GTM) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/paddle.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryCAD 150k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished20 Oct 2026Apply before19 Nov 2026Listing views39Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Paddle is seeking a Senior AI Engineer to build production AI systems for its go-to-market organization. The role spans account segmentation, enrichment, scoring, buying-signal detection, sales-workflow agents, and CRM automation. This engineer will own solutions from ambiguous business problems through technical design, deployment, evaluation, observability, and cost optimization. Success requires strong software engineering fundamentals, applied LLM experience, and close collaboration with Marketing, Sales, and RevOps users. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior end-to-end engineering role requiring independent delivery of reliable AI products in a rapidly evolving technical area. It combines production software engineering, LLM evaluation and operations, data integration, and commercial problem solving. ## Salary analysis Estimated compensation compared with the broader CA market for similar roles. Estimated job median (per year)Market rateC$150,000CA market range (per year)C$145k–C$190k0C$209.00k AI insightThe ATS provides a maximum annual compensation figure of CAD 150,000, without a stated minimum. Estimated Canadian annual market compensation for a senior applied AI/software engineer is CAD 145,000–190,000; this is an AI estimate rather than verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Large language models](https://jobicy.com/jobs?search_keywords=Large%20language%20models.md)[Agentic workflows](https://jobicy.com/jobs?search_keywords=Agentic%20workflows.md)[Retrieval systems](https://jobicy.com/jobs?search_keywords=Retrieval%20systems.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[LLM evaluation](https://jobicy.com/jobs?search_keywords=LLM%20evaluation.md)[AI observability](https://jobicy.com/jobs?search_keywords=AI%20observability.md)[Model cost optimisation](https://jobicy.com/jobs?search_keywords=Model%20cost%20optimisation.md)[CRM automation](https://jobicy.com/jobs?search_keywords=CRM%20automation.md)[Account segmentation](https://jobicy.com/jobs?search_keywords=Account%20segmentation.md)[Production software engineering](https://jobicy.com/jobs?search_keywords=Production%20software%20engineering.md)[Sales operations](https://jobicy.com/jobs?search_keywords=Sales%20operations.md) Sample interview questionsDescribe an AI system you took from an ambiguous business problem to production. How did you define success?I would begin with user interviews and a measurable business outcome, such as reducing account-research time or improving qualified pipeline conversion. I would ship a narrow prototype, establish offline and user-based evaluation criteria, then productionise it with monitoring for quality, latency, cost, and failure modes. How would you evaluate an LLM agent that researches accounts and writes outbound-sales context? I would build a representative test set with verified account facts and scoring rubrics for factual accuracy, relevance, completeness, tone, and policy compliance. I would combine automated checks, human review, source attribution, and ongoing production sampling, while tracking downstream adoption and sales-workflow outcomes. What techniques would you use to manage hallucination risk in a GTM AI application? I would ground outputs in retrieved, attributable sources, constrain the agent's tools and output schema, and require it to state uncertainty when evidence is insufficient. For high-impact actions, I would add validation rules, confidence thresholds, human approval, and monitoring of factual-error rates. How would you optimise an AI workflow that is accurate but too slow and expensive for daily use? I would profile the workflow by model call, token volume, retrieval step, and tool latency. Then I would use smaller or routed models where appropriate, caching, concise context construction, batching, asynchronous work, and evaluation to ensure optimisation does not materially reduce quality. How would you collaborate with Sales, Marketing, and RevOps on an AI product? I would involve representative users from discovery through rollout, translating their workflow pain points into clear success metrics and reusable product requirements. Regular demos, feedback loops, documentation, and transparent limitations would help ensure the system fits daily work and produces measurable value. Opportunity details ## About this role. 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 10,000 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 limits and variable model costs * Are comfortable working with structured and unstructured data, building integrations and turning information from multiple sources into useful systems * Have an interest in commercial problems and can understand concepts such as ICP, segmentation, pipeline, buyer intent and sales workflows; direct GTM experience is beneficial but not essential * Enjoy working directly with the people who use what you build, are comfortable with ambiguity and can balance speed, quality, and long-term maintainability Everyone is welcome at Paddle At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group. Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together. Why you’ll love working at Paddle We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: * Paddle Together – “None of us, is as smart as all of us” * Paddle Simply – “Simple can be harder than complex: you have to get your thinking clean to make it simple” * Paddle for others – “We can realise our wildest dreams, so long as we help enough other people to realise theirs” We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We’re a ‘digital-first’ company, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: * In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) * In North America: Austin, TX (USA) and Toronto (Canada) * In APAC: Singapore Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description. 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