Key Responsibilities:

• Direct management of 5–7 IT Analysts and Engineers: conduct regular 1-on-1s, performance reviews, career development planning, and team meetings; foster a collaborative, growth-oriented culture.
• Oversee user and computer management lifecycle: user provisioning/offboarding, device deployment, access management, and deprovisioning across Google Workspace, O365, Okta, 1Password, and related tools.
• Triage and manage ticket queue in Jira Service Management: set SLAs, assign work, review escalations, and ensure timely resolution; own team performance metrics and reporting.
• Lead implementation and optimization of IT tools and workflows: evaluate new solutions (e.g., automation via Workato, AI-powered service delivery), manage vendor relationships, and communicate changes to stakeholders.
• Manage infrastructure and systems administration: oversee device fleet management via Kolide, network management via Cisco Meraki, and internal tool configurations (Slack, Zoom, Confluence, Glean, Lucidchart).
• Partner on security, compliance, and data privacy: ensure team follows security best practices, manage access controls, handle identity governance via Okta, and balance privacy considerations when introducing new tools (especially AI-powered solutions).
• Create and maintain documentation: develop runbooks, knowledge base articles, and process diagrams that capture team procedures and reduce single points of failure.

Requirements:

• 5+ years of IT management or team leadership experience, with demonstrated success building and scaling high-performing teams.
• Hands-on experience with user and computer management tools, ideally including directory services (Google Workspace, O365), identity/access management (Okta), and ticketing systems (Jira Service Management or similar).
• Proven background in helpdesk, IT support, or user services, with deep understanding of the IT service delivery lifecycle.
• Strong team leadership and people management skills: ability to mentor, develop, and hold direct reports accountable while fostering psychological safety and growth.
• Experience with IT automation, integration platforms, or workflow optimization (e.g., Workato, Zapier, API integrations, or scripting).

Expectations of AI Use in this role:

• Leverage AI-powered tools (Google Gemini, Claude, Notebook LM, and similar) to streamline IT service delivery,e.g., using AI to draft documentation, analyze ticket patterns, and propose automation opportunities.
• Lead thoughtful adoption of AI-enhanced tools while managing associated data privacy, security, and change-management considerations with your team.
• Model responsible AI use and guide your team in identifying where AI can improve efficiency without compromising security or user trust.

Nice to Have:

• Experience leveraging AI-powered tools and automation to enhance IT service delivery, while managing associated data privacy, security, and change-management considerations.
• Familiarity with low-code/no-code platforms (Workato, Zapier) and integration patterns that reduce manual IT overhead.
• Knowledge of cloud identity and access management (Google Workspace, Okta, Entra ID).
• Experience with network management tools (Cisco Meraki or similar) or endpoint management platforms (Kolide, Jamf, Intune).
• Background in a fast-growing, high-growth tech company or healthcare data organization.

Salary Range: $133,000-$165,000 USD

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Key Responsibilities:

Configure and customize Dynamics 365 Customer Engagement modules. Implement and support Customer Service, Case Management, Queues, SLAs, Routing Rules, and Workflows. Build UI customizations, business rules, forms, and entities based on business requirements.

Configure Omnichannel capabilities, including Live chat, Voice channel, SMS & WhatsApp (if applicable), Social channels, Agent experience profiles, Workstreams and conversation flows. Set up agent scripts, macros, smart assist, and session templates.

Configure Unified Routing for automatic work item assignment. Set up routing rules, classification models, queues, and capacity profiles. Enable and optimize work distribution models across channels.

Work with telephony integration platforms such as Azure Communication Services, Webchat/Voice channels, CTI tool integrations. Support the implementation of intelligent call routing and agent desktop features.

Gather requirements and translate business needs into CRM functional solutions. Prepare solution documentation, configuration guides, and user documentation. Participate in design reviews, impact analysis, and architectural discussions.

Create and execute unit tests, integration tests, and UAT support. Assist in deployment activities across multiple environments. Ensure solution stability, performance, and adherence to best practices.

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Key Responsibilities

Configure and customize Dynamics 365 Customer Engagement modules. Implement and support Customer Service, Case Management, Queues, SLAs, Routing Rules, and Workflows. Build UI customizations, business rules, forms, and entities based on business requirements.

Configure Omnichannel capabilities, including: Live chat Voice channel SMS & WhatsApp (if applicable) Social channels Agent experience profiles Workstreams and conversation flows Set up agent scripts, macros, smart assist, and session templates.

Configure Unified Routing for automatic work item assignment. Set up routing rules, classification models, queues, and capacity profiles. Enable and optimize work distribution models across channels.

Work with telephony integration platforms such as: Azure Communication Services Webchat/Voice channels CTI tool integrations Support the implementation of intelligent call routing and agent desktop features.

Gather requirements and translate business needs into CRM functional solutions. Prepare solution documentation, configuration guides, and user documentation. Participate in design reviews, impact analysis, and architectural discussions.

Create and execute unit tests, integration tests, and UAT support. Assist in deployment activities across multiple environments. Ensure solution stability, performance, and adherence to best practices.

Requirements

6–12 years of experience in MS Dynamics CRM / Dynamics 365 CE. Strong experience in Omnichannel for Customer Service, Contact Center, or Unified Routing Plugins and Custom Workflow Activities (C#) – optional but beneficial.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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As a GTM Systems Engineer, you'll work on building the systems that turn API calls into revenue, transform messy multi-jurisdictional data into clarity, and automate what currently requires 10 people to do manually. You'll architect integrations between CRM, billing, contracts, and finance, building the workflows that turn enterprise sales from a manual slog into something elegant.

You'll be responsible for building the data pipelines and dashboards that show us what's actually happening: consumption patterns, churn signals, expansion opportunities. Not vanity metrics,the kind of real-time visibility that changes how we make decisions.

We're looking for someone with 3-5+ years of experience as a Software Engineer, Systems Engineer, or RevOps Engineer at a B2B AI or SaaS company. You should have programming proficiency in Python, JavaScript/TypeScript, and SQL, as well as CRM expertise and experience building with integration platforms such as Workato, Zapier, or Tray.io.

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Responsibilities:

• Collaborate with AI platform developers, security architects, and internal stakeholders to distill feature asks, gather feedback, and ensure product-market fit for AI agent identity.
• Define and own the product strategy and roadmap for AI agent-specific capabilities, including agent-to-agent authentication and delegated authority.
• Identify and prioritize the development of new features such as dynamic session management for AI, "on-behalf-of" token exchange, and agent-specific audit logs.
• Work closely with engineering and architecture teams to define protocols (e.g., extensions to OAuth/OIDC) and deployment models that align with modern AI orchestration frameworks.
• Drive cross-functional execution with design, engineering, and documentation teams to deliver high-quality features on time.
• Track industry trends in LLMs, agentic frameworks (e.g., LangChain, AutoGPT), and emerging AI security standards to develop differentiated solutions.
• Leverage product data to continually improve agent lifecycle management and drive adoption within the developer community.
• Serve as the subject matter expert for AI Identity, enabling marketing and technical sales teams with the tools needed to position Okta for AI use cases.

Required Experience:

• 5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core PM competencies.
• Strong knowledge of Identity and Access Management (IAM) protocols such as OAuth2, OIDC, and SAML.
• Hands-on experience with AI/ML frameworks or building products that leverage Large Language Models (LLMs).
• Analytical and decisive: Ability to drive action even with incomplete or ambiguous information in the rapidly evolving AI landscape.
• Excellent communication skills: Ability to work cross-functionally with research, design, engineering, and customer success teams.
• Technical background: Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience that allows you to influence technical design decisions.

Preferred Experience:

• Experience with developer-centric products, such as building with SDKs, APIs, or no-code/low-code integration platforms.
• Familiarity with Zero Trust architecture and how it applies to non-human entities and automated workloads.
• Prior experience in a "Zero to One" product environment, launching new products from initial concept to GA.
• Advanced degree in a technical or business field.

Annual Salary Range: $146,000-$200,000 CAD

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is scaling internal AI and automation across the company,from employee productivity to building differentiated AI-native products. To make that scale real, we’re building platforms that democratize agent and automation development: secure, reliable building blocks that let teams ship AI-powered workflows faster, safely, and with confidence.

As a Staff Product Manager, AI & Automation Platform, you’ll lead product strategy and execution for the platform layer that enables internal builders (engineers, automation developers, analysts, and power users) to create and run agents, automations, and integrations,while meeting Okta’s high bar for security, reliability, compliance, and operational rigor.

You’ll partner closely with your Bangalore Engineering POD and collaborate deeply with US-based product, security, and engineering stakeholders.

Key Responsibilities:

• Own the platform product strategy
• Define the vision, roadmap, and success metrics for an AI & Automation Platform that enables internal teams to build, test, deploy, and operate agents and automations at scale
• Identify the highest-leverage platform capabilities(e.g., orchestration, connectors, governance, observability) that reduce time-to-value for internal AI initiatives.
• Translate company priorities into clear platform outcomes: adoption, reliability and security, developer velocity and cost efficiency

Nice to Have:

• Experience with enterprise identity/security patterns (e.g., SSO, provisioning, authorization models)
• Familiarity with integration platforms, workflow engines, or API ecosystems.
• Experience in building internal platforms in a large global company with strong compliance

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About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.

About the Role

This role is for a software engineer working on Codex, with a specific focus on enabling team-scale adoption across a wide spectrum of environments, from internal teams at OpenAI to external customers ranging from startups to large enterprises. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse team requirements into products that scale across organizations. The role bridges what teams with Codex’s capabilities, ensuring that they are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.

In this role, you will:

• Ship fundamental capabilities including analytics dashboards and APIs, compliance and audit surfaces, workspace RBAC and admin controls, managed configuration and constraints, and rate limits, usage, and pricing primitives for teams.

• Design and build robust, full-stack services and APIs that power Codex across surfaces (web/app, CLI/local, IDEs, CI/CD) with strong observability, reliability, and security.

• Enable standardized team deployments by building team configuration packaging and distribution patterns that make it easy to roll out consistent experiences across workspaces.

• Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.

• Partner with GTM to work hands-on with teams through deep engagements to accelerate adoption, iterate rapidly, and translate real-world feedback into scalable product and platform improvements.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.

• Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.

• Enjoy building cross-cutting platform capabilities that unlock product velocity, and you’re comfortable working across services, APIs, and end-user product surfaces.

• Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls.

• Have built developer tools and workflows (CLI/IDE/SDK), automation systems (triggers/scheduling), or integration platforms that connect products to a broader ecosystem of tools.

• Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams.

• Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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