What the Role IsAs a Senior Engineering Manager, BizOps, you’ll lead a team that doesn’t build customer‑facing products—you build the engine that runs the business, and use AI to make that engine dramatically faster, smarter, and more scalable.Who You Are5+ years of engineering management experience, including leading multiple teams or parallel workstreams in high‑ambiguity environmentsHands‑on experience building and shipping AI agents or automation systems in production, where real teams rely on them day‑to‑dayStrong technical foundation as a former engineer, with experience owning and operating production systems before moving into managementProven track record leading through ambiguity, setting direction and establishing standards where none existedExperience driving process transformation alongside technical builds, especially in operational or business‑critical workflowsSkilled at partnering with business stakeholders, translating messy, real‑world problems into clear technical approachesComfortable working with senior and executive leadership, contributing to roadmap decisions and prioritizationThoughtful people leader, with experience coaching engineers at different levels and growing ICs into stronger operatorsYou’re genuinely excited about what AI can do—not just as a concept, but as something you actively use to rethink systems and workflowsHow You Will Make An ImpactOwn the CS Tech pod end‑to‑end, including Zendesk, AI assist tooling, chatbot systems, routing logic, and real‑time data integrationsReplace manual CS workflows with AI agents that handle routine interactions, allowing human agents to focus on high‑empathy,



high‑judgment momentsLead Merch Ops Tech by automating high‑friction workflows across PDP content generation, vendor onboarding, Contentful, and pricing systemsReduce time‑to‑live for current vendor catalogs from weeks to hours through scalable automation and system designBuild Babylist Health DME systems from the ground up, including insurance eligibility, payer‑specific submission logic, and payment workflowsDesign and implement workflows that are natively built for AI, not retrofitted—redefining how work gets done across each domainPartner with executive leadership to shape and execute Babylist’s AI transformation strategy across BizOpsDevelop a repeatable AI operating model that can extend beyond CS, Merch, and Health into other parts of the businessBuild and lead a high‑ownership engineering team across multiple domains, raising the bar on execution, accountability, and impactAbout CompensationWe use a market‑based approach to compensation. The starting salary range for this role is:USD $226,458 to $271,742CAD $261,500 to $362,900Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.Growth & DevelopmentCompetitive pay and meaningful opportunities for career advancementWe believe technology and data can solve hard problemsWe’re committed to career progression and performance‑based advancementCompetitive salary with equity and bonus opportunitiesCompany‑paid medical, dental, and vision insuranceRetirement savings plan with company matching and flexible spending accountsGenerous paid parental leave and PTORemote work stipend to set up your officePerks for physical, mental, and emotional health, parenting, childcare, and financial planning#J-18808-Ljbffr

📌 Senior Engineering Manager, Bizops - $226,458 - $271,742 A Year - Remote (Toronto)
🏢 Babylist -
📍 Toronto