Top Tech Jobs & Startup Jobs in Toronto

Leads Kinaxis’s Advanced Mathematical Modelling function, managing architects, algorithm developers, and operations research specialists. Provides technical and strategic leadership across optimization, machine learning, simulation, decision science, and algorithm development. Partners with Product Management, Engineering, and customer teams to solve supply chain challenges, guides research and prototyping, shapes platform architecture, and promotes scalable production solutions. Oversees talent acquisition, coaching, workforce planning, performance management, and career development while establishing the function’s vision and operating model.

Leads enterprise integration architecture connecting Kinaxis Maestro with SAP, ERP systems, applications, and data sources. Defines integration strategies, patterns, data models, APIs, middleware, ETL, event-driven architectures, and technical designs. Advises customers, prospects, solution architects, engineering, and product teams; guides complex deployments, transformation programs, escalations, and innovation initiatives. Establishes reusable frameworks and standards, influences product direction, and mentors technical teams.

Lead global financial accounting, controllership, external reporting, internal controls, audit oversight, regulatory compliance, and revenue accounting for a public company. Partner with the CFO and Audit Committee on financial governance, risk management, reporting, and compliance. Oversee IFRS and US GAAP reporting, SEC and OSC filings, SOX and ICFR programs, audit readiness, and scalable accounting operations while developing high-performing teams.

Leads supply chain product innovation for high-tech and semiconductor customers. Responsibilities include solution design, process flows, user stories, test scripts, data flows, customer engagement, product feedback, consultant leadership, stakeholder coordination, and early-innovator deployments. The role supports product launches from strategic planning through growth, drives proof-of-value deliveries, and ensures scalable, supportable product capabilities while partnering with product management, engineering, professional services, and customers.

Own the demand planning product roadmap, translating customer and market needs into forecasting, demand sensing, scenario planning, and AI-enabled capabilities. Lead discovery, prioritization, and delivery with Engineering, Data Science, UX, and go-to-market teams. Define success metrics, monitor performance, represent customer needs, and drive cross-functional alignment. The role requires deep demand planning expertise, enterprise software product management experience, strong analytical and communication skills, and up to 20% travel.

Build infrastructure and software for training, deploying, scaling, monitoring, and operating machine-learning models and optimization algorithms for supply-chain applications. Responsibilities include translating supply-chain use cases into mathematical models, developing ML and optimization systems in C++ and Python, designing automated testing strategies, and supporting cloud or containerized workloads. The role also involves research into heuristics, optimization, GPU computing, MLOps, and AI-assisted software development.

Develop and maintain production scheduling algorithms for Kinaxis’s enterprise supply chain platform. Design computational and mathematical models, constraints, heuristics, and metaheuristics; apply optimization and selective AI/ML techniques; and deliver scalable, production-ready software. Responsibilities include testing, code reviews, defect triage, performance improvement, cross-functional collaboration, and support across the full software development lifecycle.

Leads enterprise application architecture across HR, Finance, Procurement, IT, Legal, Security, workplace, collaboration, and enterprise data platforms. Translates business strategy into secure, scalable solutions; defines architecture patterns, integrations, APIs, workflows, and data flows; evaluates technologies and AI capabilities; guides build-versus-buy decisions; leads architecture reviews; and mentors technical teams while influencing business and technology stakeholders.

Develop and optimize supply-chain algorithms by translating real-world problems into mathematical models. Lead C++ implementation, investigate heuristics and optimization techniques, and create comprehensive functional, regression, performance, unit, and integration tests. Collaborate with agile teams and stakeholders while improving software quality, development speed, and platform capabilities. Experience with commercial mathematical solvers, data structures, algorithms, and AI-assisted development is valued.

Leads the architecture and hands-on evolution of Kinaxis Maestro’s cloud-native core platform. Designs distributed database, storage, query execution, and data-processing systems for massive scale, elasticity, performance, resilience, and cost efficiency. Guides architectural standards across Product R&D, prototypes and implements solutions, mentors senior engineers, and influences technical direction across teams. Requires deep expertise in distributed production systems, cloud platforms, concurrency, consistency, and high-performance backend development using Go, C++, or similar languages.