Publié il y a 2 mois
Senior AI Engineer (GTM)
@ Urban Ridge Supplies
Toronto, Ontario
En bref
Paddle is hiring a Senior AI Engineer for its Data & AI team to work with the Go-To-Market organisation. The role builds AI systems for account segmentation, prospect research, and sales workflow automation, owned end to end from prototype to production. The posting states the role is digital-first, allowing remote work or work from a Paddle hub.
Responsabilités :
- Design and build AI systems for account segmentation, scoring and buying-signal detection
- Develop agentic workflows for account research, outbound personalisation and CRM hygiene
- Write production-quality code, integrations and data pipelines
- Optimise systems for quality, latency and cost
- Establish monitoring, guardrails and measures of business impact
Résumé des exigences :
- Strong software engineering experience, Python and SQL preferred
- Hands-on experience with LLMs, APIs, retrieval systems or agents
- Experience evaluating and operating AI systems in production
- Comfort working with structured and unstructured data
- Interest in commercial problems; GTM experience beneficial
Outils et compétences
Source et dates
Site carrière / système de candidatures · teamtailor
- Date publiée par l’employeur
- 2026-09-24
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-10-30
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Domicile, Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Formation payée |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Urban Ridge Supplies
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Supplying high-quality pipes for residential, commercial, and industrial needs.
Description complète de l’entreprise
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
- Abonnés LinkedIn
- 14 005
- Bureaux déclarés
- Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
- Autres noms enregistrés
- Urban Ridge Supplies
- Le profil indique une agence de recrutement
- Non
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
| Champ | Valeur |
|---|---|
| Secteur | Wholesale Building Materials |
| Taille | 2-10 employees |
| Siège social | Zabeel, Dubai |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 124 |
| Voir la page |
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
- 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
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.
Our Values
- 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 are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.
We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and 4 months paid family leave regardless of gender. 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.
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