--- title: 'Customer Engineer, Analytics and ML Products at Switch Growth' canonical: 'https://feeny.ai/job/customer-engineer-analytics-and-ml-products-switch-growth-toronto-psr3r1jsx9y7' type: 'job' last_seen: '2026-09-12' --- # Customer Engineer, Analytics and ML Products at Switch Growth - **Company:** Switch Growth - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2025-05-22 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.gem.com/switchgrowth-com/am9icG9zdDoeySbiXkKxiZ2BuZffhtmN ## Job description Customer Engineer - Analytics and ML We're looking for a Customer Engineer who’s deeply passionate about analytics and machine learning (ML). In this role, you’ll be the bridge between technical challenges and client needs—translating real-world data problems into scalable analytics solutions and intelligent ML features. Your work will directly impact the way clients experience and derive value from Switch’s data and ML products. This is a technical role that leans heavily on data engineering, data science, analytics, and ML infrastructure, while still involving front-end and back-end development and product management. You’ll ensure that features are deployed and delivered to clients with the highest quality and measurable impact. This position touches every part of the Switch ecosystem, making it ideal for someone who thrives in interdisciplinary environments and who’s motivated by improving both internal systems and client outcomes through data-driven solutions. ## Key Responsibilities Client-Focused Analytics Solutions: Act as the technical liaison for our clients, understanding their data and analytics challenges and transforming feedback into predictive models, dashboards, or automated ML features. You’ll diagnose issues in data pipelines, analytics tooling, and ML workflows, while clearly explaining technical concepts to a variety of stakeholders. Full-Stack + Data & ML Development: Work across the full tech stack—both for building user-facing features and analytical tools. Your stack may include SQL, BigQuery, Python (for analytics/ML), and Ruby or modern front-end frameworks. You'll design scalable data pipelines, integrate ML models into production systems, and support experimentation frameworks (e.g., incrementality testing). Collaborative Innovation with a Data Focus: Partner closely with our business team to uncover insights from client data, identify common analytical needs, and proactively develop tools like custom dashboards, measurement models, and centralized ML infrastructure. You'll play a key role in shaping our analytics and ML product roadmap. ## Qualifications A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. - At least 2 years of full-stack development experience and 5+ years in analytics, data science, or ML-focused roles. - Proficiency in SQL and Python, and familiarity with data platforms like BigQuery, Vertex AI, or similar tools. - Demonstrated experience designing and maintaining scalable, reliable data pipelines and ML models. - Familiarity with tools like Looker/Looker Studio for reporting, and experience with marketing experiments, ROI modelling, or statistical analysis. - Strong communication skills with a knack for storytelling through data to both technical and non-technical audiences. - Experience with agile methodologies, DevOps, and optionally MLOps/DataOps workflows. - Bonus: Containerization (Docker/Kubernetes), experience with digital marketing analytics, and comfort in startup environments. Your Expected Progression at Switch: - Month 1: You’ve met our clients and understand their core data challenges. You've begun monitoring daily data fidelity, assisted with client dashboards and resolved basic pipeline issues. You can independently fix data bugs and write simple predictive models. - Month 3: You’ve built or optimized pipelines for multiple client-facing metrics, implemented your first client-facing ML feature or experiment, and are helping automate common requests. Your analytical insights are directly influencing onboarding and product success. - Month 6: You’re independently owning ML and analytics initiatives—from experimentation to deployment. You’re creating internal documentation and tooling that allow teams to self-serve analytics. You’re a trusted advisor on data strategy and contribute regularly to the product roadmap through insight and initiative. If you're someone who thrives at the intersection of data, engineering, and customer impact, and you're excited to create intelligent data systems and client-facing ML features, we’d love to talk to you. Join us in helping our clients solve complex marketing and analytics problems, while building a team rooted in technical excellence and data-driven decision-making. ## About Switch Growth ## Company Overview - **One-liner**: Switch Growth provides a first-party data software platform that trains AI to help marketers improve cross-channel marketing ROI by unifying marketing, sales, and finance data. - **Entity Type**: Private (Funded) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2021 - **Founders**: Riley Nelko (CEO) and Adam Lazareck ## Core Business - **Primary industry**: Marketing Technology (MarTech), AI-powered Customer Data Platform (CDP) - **Target customers**: B2B/Enterprise, including banks/financial services, healthcare, retail/loyalty, insurance, e-commerce, aggregators/affiliates, and SaaS/subscription businesses - **Mission or purpose**: To help marketers realize the full potential of first-party data, delivering better returns, staying ahead of competition, and thriving in a privacy-centric world. ## Products & Services - **Switch Platform**: A software solution that trains AI/ML models to optimize cross-channel marketing ROI. It aligns first-party data across online and offline touchpoints, enabling lead generation, commerce targeting, brand marketing (via incrementality models), and omnichannel ROI measurement. It integrates with Google, Meta, and Amazon’s top strategic partners. (Type: SaaS) ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Total funding — 1 institutional investor, details not disclosed; clients report +90% match rates and +30% ROAS growth on average. - **Key Metric**: **Annual Revenue** — Not publicly available. - **Notable Investors**: 1 institutional investor (name not specified), plus angel investors like Don Burns (Investor & Advisor) and Jay Berard (Angel Investor). The platform is invite-only for top partners of Google, Meta, and Amazon. - **Growth Signals**: - 26 total employees (as of 2026, up from 21 in 2025), +4.2% YoY headcount growth. - Workforce distributed across Canada and United States. - Active recruiting for Associate Product Manager, Customer Engineer (Analytics & ML), and other roles in mid-2026. ## Competitive Advantages - **First-party data focus**: Purpose-built for the privacy-centric era (post-cookie deprecation), handling data without processing sensitive PII. - **High match rates**: Clients achieve +90% match rates and +30% ROAS growth on average, with real-time daily syncing. - **Founder pedigree**: Founded by ex-Googler (Riley Nelko) and two executive engineers, giving deep expertise in data and advertising platforms. - **Invite-only platform**: Works exclusively with top strategic partners of Google, Meta, and Amazon, indicating high trust and frictionless integrations. ## Strategic Focus - **Current priorities**: Scaling the platform to more enterprises across multiple verticals (B2B, healthcare, retail, insurance, e-commerce, SaaS); continuing to hire for Analytics & ML Products and Customer Engineering roles to support growth. - **Direction for growth**: Expanding from Canada/US base into broader North American and global markets, deepening first-party data capabilities to support brand and performance marketers. ## Why Work Here - **Culture highlights**: Founded by ex-Google and senior engineering talent; mission-driven to revolutionize the ad-supported internet and consumer privacy landscape. - **Remote/hybrid policy**: Described as a remote-first company that hires talented people anywhere in the world. Some roles listed as remote or hybrid (Toronto office available). - **Notable perks or engineering culture**: Focus on AI/ML training and data engineering; active involvement in the tech community (e.g., Toronto Ruby meetup). Company size (~26 people) suggests a tight-knit, high-impact startup environment with opportunity for ownership. ## Sources 1. [switchgrowth.com](https://switchgrowth.com/) 2. [jobs.gem.com (Careers)](https://jobs.gem.com/switchgrowth-com?embed=true) 3. [LinkedIn Company Page](https://linkedin.com/company/switchgrowth) 4. [Built In Profile](https://builtin.com/company/switch-growth) 5. [Tracxn Company Profile](https://tracxn.com/d/companies/switch/__UnVGaD7lpVlbXC2OUtR-MdmtUuIRB03rt11fc6HDdJg) ## Other roles at Switch Growth - [Associate Product Manager, Analytics and ML](https://feeny.ai/job/associate-product-manager-analytics-and-ml-switch-growth-toronto-3xmdrk7515dx) — Toronto, Canada - [Customer Engineer](https://feeny.ai/job/customer-engineer-switch-growth-toronto-y4jb0xt04y98) — Toronto, Canada - [Associate Product Manager](https://feeny.ai/job/associate-product-manager-switch-growth-toronto-7geqjgmdgxfp) — Toronto, Canada