About KleverKlever is a programmatic advertising company built around location intelligence. Our platform,Proximity, combines real-world movement data with multi-partner measurement to help brands connect ad exposure to verified store visits. We run campaigns across mobile, CTV, DOOH, and desktop through multiple DSPs and SSPs.We're actively building AI-powered tools (example - Proximity Agent for audience curation and campaign analysis), modernizing our data infrastructure on BigQuery, and exploring agent orchestration to automate ad ops workflows. This role exists because we need someone to own the product backlog and keep delivery focused as that scope grows.The roleYou'd own the backlog for Proximity and our internal tools. That means working directly with developers, ad ops leads, and account managers to figure out what to build next, writing the specs, and making sure what ships actually solves the problem. You'd also be the bridge between the product and the rest of the business partnering with marketing to keep the value proposition grounded in what the product actually does, and helping sales talk about it effectively.The ad tech context matters here. You need to understand how DSP campaigns work, what pacing means, why measurement attribution is hard, and what the ad ops team actually needs from the tools they use every day. If you've never touched a DSP, this isn't the right fit.The AI angle is equally important. We're not looking for someone who tried ChatGPT a few times. We want someone who uses LLMs as part of how they work: prototyping with code generation, writing specs faster, exploring data, building proof-of-concept tools. You'll be doing that here, not just writing tickets about it.What you'd doOwn and prioritize the product backlog for Proximity (reporting and AI platform), internal ad ops tools, and new AI-powered features.Write user stories with clear acceptance criteria. Work with the dev team through sprint planning, standups, and retros (we run Scrum).Talk to ad ops, sales, and account management regularly to understand what's broken, what's slow, and what's missing. Turn that into actionable specs.Partner with marketing to make sure the Proximity value prop and product messaging reflect what the platform actually does. You know the product better than anyone marketing needs that input.Support sales enablement: run product training sessions, contribute to demo materials, and help the sales team understand new features well enough to sell them.Define how we measure whether a feature worked. Track adoption and flag when something isn't landing.Prototype and validate ideas using AI tools. Build quick proof-of-concepts when it's faster than writing a full spec.Work with the Tech & Ad Ops leads on roadmap priorities, balancing client-facing improvements, internal tooling, and AI initiatives.Manage stakeholder expectations across departments. Say no when needed, explain why, and keep people informed.Requirements3-5 years as a Product Owner, Product Manager, or equivalent in ad tech or digital media. You've shipped product in this space.You understand programmatic advertising: DSPs, SSPs, audience data vendors, the campaign lifecycle from IO to reporting, pacing, and measurement.Proximity experience or something similar (location-based measurement, multi-partner attribution) is a strong plus.Strong with Agile/Scrum. You've groomed backlogs, planned sprints, and facilitated retros. You know the difference between doing the ceremony and actually being agile.Coding knowledge in Python or Java. You don't need to be an engineer, but you should be able to read a pull request, write a script to explore data, and talk to developers without a translator.Hands-on experience with LLMs for development work.This means you've actually used tools like Claude, ChatGPT, or Copilot to write code, generate specs, prototype features, or automate parts of your workflow. We'll ask about this in the interview.Strong communication. You can explain trade-offs to a VP and write technical specs for a developer in the same afternoon.English is required. French is an asset (the tech team is based on Montreal).Bonus pointsYou've worked with BigQuery, Tableau, or Looker for analytics and reporting.Familiarity with Salesforce, Jira, Asana, or Notion for project and workflow management.You know what location intelligence, audience data, or geospatial targeting means in practice.Experience with AI agent frameworks or orchestration (LangChain, CrewAI, etc.).Background in CTV, DOOH, or other emerging programmatic channels.Experience with product marketing, sales enablement, or go-to-market support in a B2B context.What to expectOur interview process is structured around four competencies: ad tech domain knowledge, product ownership and delivery, technical fluency, and AI/LLM applied experience. Expect a mix of behavioral questions, a short product case, and a live exercise where you'll use an LLM to work through a problem.Compensation and logisticsCompetitive salary and benefits (health, dental, RRSP matching).Hybrid in Montreal. We're in-office a few days a week, remote the rest.You'd be joining during a period of real product investment. The roadmap has actual funding behind it (not speculative).Klever is an equal opportunity employer.Gestionnaire de ProduitLe rleVous serez responsable du backlog pourProximityet de nos outils internes. Cela signifie travailler directement avec les dveloppeurs, les responsables ad ops et les gestionnaires de comptes afin didentifier les prochaines fonctionnalits dvelopper, rdiger les spcifications et sassurer que ce qui est livr rpond rellement au besoin.Vous serez galement lepont entre le produit et le reste de lentreprise en collaborant avec le marketing pour maintenir une proposition de valeur aligne avec ce que fait rellement le produit, et en aidant lquipe des ventes en parler efficacement.Le contextead techest essentiel ici. Vous devez comprendre comment fonctionnent les campagnes dans les DSP, ce que signifie le pacing, pourquoi lattribution en mesure est complexe, et de quels outils lquipe ad ops a rellement besoin au quotidien. Si vous navez jamais travaill avec un DSP, ce rle ne sera probablement pas le bon.LaspectIAest tout aussi important. Nous ne cherchons pas quelquun qui a simplement test ChatGPT quelques fois. Nous voulons quelquun qui utilise les LLM dans sa faon de travailler : prototypage avec gnration de code, rdaction de spcifications plus rapide, exploration de donnes, cration de preuves de concept. Vous ferez cela concrtement dans ce rle, pas seulement en crire des tickets.ResponsabilitsGrer et prioriser le backlog produit pourProximity(reporting client), les outils internes ad ops et les nouvelles fonctionnalits alimentes par lIA.Rdiger desuser storiesavec des critres dacceptation clairs. Travailler avec lquipe de dveloppement lors du sprint planning, des stand-ups et des rtrospectives (nous fonctionnons en Scrum).changer rgulirement avec les quipes ad ops, ventes et gestion de comptes pour comprendre ce qui ne fonctionne pas, ce qui ralentit ou ce qui manque, puis transformer ces informations en spcifications exploitables.Collaborer avec le marketing pour sassurer que la proposition de valeur et le positionnement produit de Proximity refltent rellement les capacits de la plateforme.Soutenir lenablement des ventes: organiser des formations produit, contribuer aux supports de dmonstration et aider lquipe commerciale comprendre les nouvelles fonctionnalits afin de mieux les vendre.Dfinir les indicateurs permettant de mesurer si une fonctionnalit fonctionne rellement. Suivre ladoption et signaler rapidement lorsquun produit ne rpond pas aux attentes.Prototyper et valider des ides avec des outils dIA. Crer des preuves de concept rapides lorsque cest plus efficace que de rdiger une spcification complte.Travailler avec les responsablesTech et Ad Opspour dfinir les priorits de la feuille de route, en quilibrant les amliorations client, les outils internes et les initiatives IA.Grer les attentes des diffrentes quipes. Savoir dire non lorsque ncessaire, expliquer pourquoi et maintenir une communication claire.Exigences3 5 ans dexprience commeProduct Owner, Product Manager ou rle quivalentdans lad tech ou les mdias numriques.Bonne comprhension de la publicit programmatique : DSP, SSP, fournisseurs de donnes daudience, cycle de campagne de lIO au reporting, pacing et mesure. Solide exprience enAgile / Scrum. Vous avez dj gr des backlogs, planifi des sprints et anim des rtrospectives. Connaissances en programmationPython ou Java. Vous navez pas besoin dtre ingnieur, mais vous devez pouvoir lire une pull request, crire un script pour explorer des donnes et changer efficacement avec les dveloppeurs.Exprience pratique avec lesLLMdans un contexte de dveloppement. Cela signifie avoir rellement utilis des outils comme Claude, ChatGPT ou Copilot pour crire du code, gnrer des spcifications, prototyper des fonctionnalits ou automatiser certaines tches. Nous en discuterons pendant lentrevue.Excellentes comptences en communication. Vous pouvez expliquer des compromis un VP et rdiger des spcifications techniques pour un dveloppeur dans la mme journe.Anglais requis. Franais un atout.Atouts supplmentairesExprience avecBigQuery, Tableau ou Lookerpour lanalyse et le reporting.Familiarit avecSalesforce, Jira, Asana ou Notionpour la gestion de projets et des flux de travail.Comprhension pratique de lintelligence de localisation, des donnes daudience ou du ciblage gospatial.Exprience avec des frameworks dagents IAou dorchestration (LangChain, CrewAI, etc.).Exprience dans des canaux programmatiques mergents commeCTV ou DOOH.Exprience enproduct marketing, sales enablement ou go-to-market B2B.
Job Title
Product Owner