Retail Ecommmerce Management Platform

CommerceIQ

Engineering Manager - Toronto

VP, Retailer Business Development

Director, Digital Content Strategy

Customer Success Associate Director, Ecommerce

Associate Director, Content Optimization & Strategy

Software Development Engineer II - Crawling

Customer Success Specialist, Advertising (Amazon Ad search)

Software Development Engineer I

Senior AI Engineer

CommerceIQ is seeking an Engineering Manager for AI Incubation to lead a new team of AI Engineers in Toronto. This player/coach role involves hands-on technical leadership, working directly with a cofounder to design and ship AI-driven features. The manager will set technical direction, architect scalable backend systems, and contribute to model training, retrieval systems, and agentic application development. This high-impact role offers a unique opportunity to shape AI-native commerce intelligence products and drive innovation within a strategic engineering team.

Director, Growth Marketing

Company OverviewCommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. We’ve raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more at <a href="http://commerceiq.ai/" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">commerceiq.ai_</a>.The Role:We are looking for an Engineering Manager – AI Incubation to establish and lead a new team of AI Engineers in our Toronto office. This is a player/coach role for a hands-on technical leader who thrives at the intersection of engineering and applied AI innovation.You will work directly with the company’s cofounder to build, mentor, and scale a small, high-impact team that will design and ship AI-driven features across our platform. In this incubation environment, you’ll set the technical direction, architect scalable backend systems, and stay deeply hands-on with model training, retrieval systems, and agentic application development.This is a unique opportunity to help shape the next generation of AI-native commerce intelligence products—while building and leading one of CommerceIQ’s most strategic engineering teams from the ground up.Why This Role Matters-------------------------<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">High impact: Lead an incubation team building AI-native capabilities that directly shape CommerceIQ’s future product roadmap.</li><li class="leading-relaxed">Founder collaboration: Report directly to a cofounder, influencing both technical and product strategy.</li><li class="leading-relaxed">Hands-on innovation: Stay close to the code and models—mentoring engineers while contributing to core AI and backend development.</li></ul>AI-first environment: Drive rapid experimentation, model deployment, and applied AI engineering at scale.This is a remote role based out of Toronto. Please note that we are only considering candidates located in the Toronto area for this role.What You'll Do:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build and lead a founding AI engineering team in Toronto, recruiting and mentoring top-tier engineers.</li><li class="leading-relaxed">Act as a player-coach, contributing hands-on to system architecture, backend services, and AI model development.</li><li class="leading-relaxed">Design and implement scalable backend systems that power AI-driven products, including model serving, retrieval pipelines, and agent orchestration.</li><li class="leading-relaxed">Oversee the full lifecycle of AI development—from data processing, model training, and fine-tuning to deployment and monitoring in production.</li><li class="leading-relaxed">Collaborate closely with product managers, data scientists, and executives to define the AI roadmap and ship customer-facing solutions.</li><li class="leading-relaxed">Ensure engineering excellence across design, code quality, testing, and observability.</li><li class="leading-relaxed">Partner with the global engineering organization (U.S. and India) to align on architecture, infrastructure, and best practices.</li><li class="leading-relaxed">Cultivate a culture of technical rigor, creativity, and velocity within the incubation team.</li></ul>What You'll Bring:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">5+ years of experience in backend software development, with ideally 2+ years in people leadership roles (managing or mentoring engineers).</li><li class="leading-relaxed">Proven experience building and leading AI-focused engineering teams and delivering production-grade ML/AI systems.</li><li class="leading-relaxed">Hands-on experience with training, fine-tuning, and deploying AI models, including LLMs or domain-specific models.</li><li class="leading-relaxed">Deep understanding of agentic architectures—experience designing and launching AI agents and retrieval-augmented generation (RAG) pipelines in production.</li><li class="leading-relaxed">Strong backend engineering expertise in Python, Java, Scala, or Go, and fluency with modern cloud-native systems (AWS, GCP, or Azure).</li><li class="leading-relaxed">Experience scaling ML infrastructure (data pipelines, model serving, monitoring, MLOps).</li><li class="leading-relaxed">Strong problem-solving, architectural, and communication skills; able to operate both strategically and tactically.</li><li class="leading-relaxed">A collaborative, entrepreneurial mindset—comfortable with ambiguity, iteration, and high ownership.</li><li class="leading-relaxed">Bachelor’s or Master’s degree in Computer Science or a related field (advanced degree in ML/AI a plus).</li></ul>Compensation and Benefits:The typical base pay range for this role in Toronto, ON is CAD $180,000 – $240,000 per year, plus variable bonus, long-term incentives in the form of stock options and potential discretionary bonuses.This base pay range may be inclusive of several career levels at CommerceIQ and will be narrowed based on a number of factors including the candidate’s experience, qualifications, and location.Base salary is just one part of your total rewards package at CommerceIQ. You may also be eligible for long-term incentives, in the form of company stock options, as well as potential discretionary bonuses and various benefits.Check out our <a href="https://www.linkedin.com/company/commerceiq/life/682892c1-f540-4867-a6f7-487106e479b8/?viewAsMember=true" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">LinkedIn page</a>to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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smarsh

Senior Technical Product Manager - Observability Platform & Products

Customer Success Representative

Garena

Associate/Senior Associate, Regional Live Operations

Fox Factory

Material Handler

Maintenance Technician II

Tool Room/Dispatcher

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Sr. Executive Assistant II

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Senior support Engineer 2 - SCM, JDA/BY Product Support & PLSQL

Smarsh is seeking a Senior Technical Product Manager to lead the development of next-generation observability products built on their Fabric platform. This role involves defining and executing the strategy for comprehensive observability solutions, enabling customers to achieve full-stack visibility, proactive incident management, and data-driven operational excellence. The ideal candidate will possess deep expertise in modern observability platforms, platform engineering, and the ability to transform complex telemetry data into actionable product experiences. Responsibilities include designing and shipping observability products, owning the product lifecycle, championing modern observability practices, and fostering customer-centric development.

Platform Engineer- AI

Cloud Engineer II-Observability

Full Stack Developer II

Platform Engineer III

Full Stack Developer III- Fabric

Technical Support Specialist II

Solutions Engineer

Sr. Manager, Creative

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Who are we?</h3>Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.Smarsh is seeking a visionary Senior Technical Product Manager to lead the development of next-generation observability products built on our Fabric platform. You will define and execute the strategy for building comprehensive observability solutions that enable customers to achieve full-stack visibility, proactive incident management, and data-driven operational excellence. This role requires deep expertise in modern observability platforms, platform engineering, and the ability to transform complex telemetry data into actionable product experiences.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Do</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build Observability Products</li><li class="leading-relaxed">Design and ship observability products that leverage telemetry data (metrics, logs, traces, events) to deliver actionable insights and automated workflows</li><li class="leading-relaxed">Define product strategy for observability-as-a-service offerings, including SLO/SLI management, anomaly detection, and intelligent alerting</li><li class="leading-relaxed">Create differentiated product experiences around observability data, including custom dashboards, correlation engines, and root cause analysis tools</li><li class="leading-relaxed">Drive the product roadmap for observability platform capabilities that enable both internal teams and external customers</li><li class="leading-relaxed">Platform Product Leadership</li><li class="leading-relaxed">Own the end-to-end product lifecycle for observability platform features, from discovery through launch and iteration</li><li class="leading-relaxed">Build products that abstract complexity and democratize observability across technical and non-technical users</li><li class="leading-relaxed">Define APIs, integrations, and extensibility models that allow customers to build on top of your observability platform</li><li class="leading-relaxed">Establish product metrics and KPIs that measure adoption, value delivery, and platform health</li><li class="leading-relaxed">Modern Observability Strategy</li><li class="leading-relaxed">Champion modern observability practices including Open Telemetry adoption, distributed tracing, and unified telemetry pipelines</li><li class="leading-relaxed">Drive strategy for observability data management, including cardinality optimization, data retention policies, and cost efficiency</li><li class="leading-relaxed">Define product vision for AI/ML-powered observability features such as predictive analytics, intelligent noise reduction, and automated remediation</li><li class="leading-relaxed">Stay ahead of industry trends in observability, including eBPF, continuous profiling, and real-time analytics</li><li class="leading-relaxed">Customer-Centric Product Development</li><li class="leading-relaxed">Partner deeply with customers to understand their observability maturity, pain points, and desired outcomes</li><li class="leading-relaxed">Translate complex operational challenges into elegant product solutions</li><li class="leading-relaxed">Conduct user research, beta programs, and feedback loops to validate product hypotheses</li><li class="leading-relaxed">Build customer advisory boards and champion programs to co-create observability solutions</li><li class="leading-relaxed">Cross-Functional Leadership</li><li class="leading-relaxed">Collaborate with engineering teams to balance technical feasibility with product vision</li><li class="leading-relaxed">Work with platform engineers to ensure observability is built into the fabric from day one (shift-left observability)</li><li class="leading-relaxed">Partner with sales and customer success to position observability products and drive adoption</li><li class="leading-relaxed">Influence architecture decisions to ensure telemetry-first design principles</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You Bring</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Observability Platform Expertise</li><li class="leading-relaxed">Deep hands-on experience with modern observability platforms (Datadog, New Relic, Dynatrace, Grafana Cloud, Honeycomb, or similar)</li><li class="leading-relaxed">Strong understanding of Open Telemetry, telemetry data models, and observability pipelines</li><li class="leading-relaxed">Experience with distributed tracing, metrics aggregation, log analytics, and event correlation</li><li class="leading-relaxed">Knowledge of observability data stores (Prometheus, Loki, Tempo, ClickHouse, Elasticsearch)</li><li class="leading-relaxed">Product Management Excellence</li><li class="leading-relaxed">5+ years building and shipping technical products, preferably in observability, monitoring, or platform domains</li><li class="leading-relaxed">Proven track record of taking products from 0→1 or scaling existing products to new markets</li><li class="leading-relaxed">Experience defining product strategy, writing PRDs, and managing complex roadmaps</li><li class="leading-relaxed">Strong analytical skills with ability to leverage data to drive product decisions and measure success</li><li class="leading-relaxed">Technical Depth</li><li class="leading-relaxed">Understanding of cloud-native architectures, microservices, containers (Kubernetes/Docker), and service mesh technologies</li><li class="leading-relaxed">Familiarity with infrastructure as code, GitOps, and platform engineering principles</li><li class="leading-relaxed">Knowledge of SRE practices, SLO/SLI frameworks, and incident management workflows</li><li class="leading-relaxed">Experience with data pipelines, streaming architectures (Kafka, Kinesis), and real-time analytics</li><li class="leading-relaxed">Communication & Leadership</li><li class="leading-relaxed">Exceptional ability to communicate technical concepts to diverse audiences (executives, engineers, customers)</li><li class="leading-relaxed">Experience influencing without authority and building consensus across organizations</li><li class="leading-relaxed">Strong storytelling skills to articulate product vision and drive adoption</li><li class="leading-relaxed">Ability to mentor junior PMs and elevate product thinking across teams</li><li class="leading-relaxed">Preferred Qualifications</li><li class="leading-relaxed">Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)</li><li class="leading-relaxed">Experience working at an observability vendor or building observability products</li><li class="leading-relaxed">Background in SRE, DevOps, or platform engineering roles</li><li class="leading-relaxed">Familiarity with AI/ML applications in observability (AIOps, anomaly detection)</li><li class="leading-relaxed">Experience with multi-cloud environments (AWS, Azure, GCP) and hybrid architectures</li><li class="leading-relaxed">Understanding of compliance, security, and data governance in observability contexts</li><li class="leading-relaxed">Active participation in observability communities (Open Telemetry, CNCF, etc.)</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About our culture</h3>Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.