Top Tech Jobs & Startup Jobs in Toronto

Own pricing, packaging, monetization, go-to-market, and platform requirements for Kinaxis operations orchestration products. Build usage-based pricing and unit-economics models, define metering and entitlement capabilities, track commercial metrics, support sales enablement, and represent the product with executives, customers, and partners. The role requires hands-on large language model development, technical fluency in enterprise platforms, SQL-based analysis, B2B product launches, and up to 20% travel.

Manage Kinaxis’s enterprise vulnerability management program across corporate and SaaS environments. Administer and tune scanning platforms, reconcile asset coverage, assess threat intelligence, prioritize vulnerabilities by risk, and coordinate remediation through closure. Produce metrics and reports, maintain procedures and SLAs, provide remediation guidance, manage vendor relationships, respond to customer vulnerability inquiries, and operate controlled AI-assisted workflows with human validation and security safeguards.

The Product Operations Specialist improves product execution by designing scalable processes, governance frameworks, workflows, reporting structures, metrics, and operating standards. The role identifies bottlenecks, tooling gaps, data-quality issues, and inefficiencies; implements automation and process improvements; analyzes operational trends; and facilitates alignment across Product, Engineering, UX, Customer Success, and other teams. This position supports consistent planning, lifecycle management, release readiness, decision-making, and continuous improvement across the product organization.

Leads Kinaxis’ global Talent Programs portfolio, including performance management, succession planning, talent reviews, leadership development, employee listening, competencies, skills frameworks, and career development. Translates talent strategy into integrated roadmaps, scalable processes, governance, and measurable outcomes. Partners with HR and business leaders, uses workforce and employee insights to guide priorities, drives innovation through technology and AI, manages external resources, and leads a team of Talent professionals.

Designs, implements, and operates security controls across corporate IT and SaaS environments spanning cloud and on-premises infrastructure. Leads cloud, platform, application, vulnerability-management, detection, and incident-response initiatives. Partners with engineering and operations teams to embed security into architectures, CI/CD pipelines, and infrastructure-as-code workflows; drives risk-based remediation and improves control effectiveness. Serves as a technical escalation point during complex incidents and mentors junior team members.

Leads the transformation of Product operations through AI, automation, integrated tooling, and redesigned workflows. Identifies high-value opportunities, builds scalable agents and automations, establishes secure operating practices, and measures improvements in velocity, capacity, quality, adoption, and decision-making. Partners with Product, IT, Security, Data, Legal, and R&D while driving AI fluency, reusable patterns, and enterprise-ready capabilities.

Partners with North American sales teams to improve forecasting, pipeline management, territory planning, and revenue performance. The role analyzes pipeline health, conversion rates, productivity metrics, and funnel performance; supports business reviews and forecast discussions; ensures CRM data quality and sales process compliance; and provides actionable insights to sales leadership. It also collaborates with Marketing, Analytics, and Operations on pipeline generation, process improvements, system enhancements, and operational priorities.

Provides technical leadership for cloud platform engineering, including cloud architecture, infrastructure automation, CI/CD, security, reliability, self-service delivery, and developer enablement. The role leads design and code reviews, mentors engineers, improves cloud services and delivery processes, and guides implementation across teams using public cloud platforms, Terraform, Kubernetes, and modern DevOps tooling.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.

Conduct applied AI/ML research focused on time-series forecasting and generative AI for supply chain planning. Review literature, formulate hypotheses, design reproducible experiments, develop and evaluate models, analyze results, and communicate findings. Build research prototypes and collaborate with researchers, engineers, data scientists, and domain experts to assess product potential. Contribute to technical reports, demonstrations, publications, and patents under mentorship.