Lead Technology Enablement Program Manager in Canada

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for an IT Systems Engineer to lead the technical side of integrating newly acquired companies into Lyft's IT environment. You'll be responsible for migrating collaboration tools, SaaS platforms, and identity systems from acquired teams into Lyft's stack, with minimal disruption to either side. We're looking for a self-starter who's equally comfortable driving projects independently and partnering with others to get things done. The ideal candidate brings strong attention to detail, creative problem-solving, and a genuine drive to automate processes and improve efficiency across the IT organization. Responsibilities: Manage SaaS integration and consolidation during merger and acquisition activity, ensuring smooth platform migrations, data integrity, and minimal disruption across merged organizations Provide architectural, engineering, and operational support for corporate IT systems at Lyft Support single sign on integrations with Lyft’s primary identity provider, Okta. Leverage various APIs to write scripts and applications to automate IT Operations Support and work with IT, Security and other internal departments by building automation for repetitive tasks Write detailed and concise documentation and runbooks Engage with vendors to implement and improve services to best support Lyft’s needs Be a mentor to others in IT and act as a source for others Experience & Skills: 5+ years of experience managing corporate IT Systems Proven experience supporting IT integration during mergers, acquisitions, or divestitures, including SaaS platform consolidation and system migrations SaaS system application management including but not limited to: Gsuite, Okta, Atlassian, Slack Scripting experience leveraging GAM, Python, Bash, and/or equivalent tools Comfortable consuming RES

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

Configuration Management Specialist (Senior) Company: The Boeing Company Boeing Space, Intelligence & Weapons Systems (SI&WS) in Seal Beach California or Colorado Springs, Colorado, is seeking an Configuration Management Specialist (Senior) to support the ESS – MPA Phase 3 Program. Responsibilities of this position include but not limited to oversee and review of software and hardware documentation for internal consistency and adherence to Boeing and program standards, oversee configuration control of work products, generating CM records as evidence of adherence to CM plans and Boeing standards, verifies accuracy of deliveries, both internal and external, support Change Boards, and responds to internal audits and customer queries. This position requires the CM representative to lead the CM activities for the program and also be responsible for maintaining large number of documents. This position is expected to be 100% onsite in Seal Beach CA or Colorado Springs CO This position also requires the person to have an active DOD-Top Secret Clearance . Position Responsibilities: Oversee and review software and hardware documentation for internal consistency and adherence to Boeing and program standards. Oversee configuration control of work products. Generate CM records as evidence of adherence to CM plans and Boeing standards. Verify accuracy of deliverables, both internal and external. Support Change Boards. Respond to internal audits and customer queries. Lead CM activities for the program and maintain a large number of documents. This position is expected to be fully on site in Seal Beach, California or Colorado Springs, CO. <

Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with

About the Team The Outside Account Management team at DoorDash partners with restaurant merchants to help them grow simply and profitable on the platform. Our mission is to support merchants throughout their journey – ensuring a positive experience while also helping them unlock meaningful growth opportunities. We work closely with merchants to understand their goals, solve operational challenges, and recommend growth strategies that fit their business – balancing thoughtful partnership with commercial impact. About the Role As a Strategic Partner Manager II (SPM) , you will own and grow relationships with a portfolio of SMB restaurant partners, operating with a high degree of autonomy and strategic judgment. You’ll lead complex, high-impact partnerships focused on driving long-term growth, profitability, and retention for merchants on the DoorDash platform. In this role, you’ll move beyond day-to-day account management to guide more strategic merchant conversations—helping partners think holistically about growth, operations, and how to scale their business with DoorDash. You’ll proactively adapt account plans as opportunities and challenges emerge, identify and address risks early, and consistently drive measurable outcomes across your book of business. Beyond your own accounts, you’ll play an influential role across the team — serving as a voice of the merchant internally, shaping cross-functional initiatives, and sharing best practices that elevate how DoorDash partners with restaurants at scale. You’ll report to a regional manager within Outside Account Management. We expect this role to be flexible, with time split between traveling to merchants and additional flexibility to work remotely from home or a DoorDash office. You’re excited about this opportunity because you will… Own and grow strategic partnerships: Manage a portfolio of SMB restaurant partners, consistently driving measurable growth, retention, and satisfaction Lead advanced merchant s

About the Role At DoorDash we are redefining what it means to be a designer. We are building towards a team of makers, builders, and doers. Between 2005 and 2015, "web designer" became "product designer" and the scope widened. The same shift is happening now — LLMs are expanding the T again, toward strategy on one end and direct execution on the other. As a Staff Product Designer, you will lead this shift across your team: not just practicing build-first design, but multiplying it through the people and systems around you. We're seeking an ambitious and system design minded Staff Product Designer to lead “Meals for Work” within DoorDash for Business , a strategic area at the heart of redefining workplace dining and company perks. You’ll craft transformative consumer and enterprise experiences, from tools that make team lunch ordering effortless to scalable solutions for catering, company paid recurring meals, and grocery benefits. This role offers a unique opportunity to design powerful systems that help workplace admins plan, manage, and operate food programs with confidence, while pioneering new offerings in an evolving market. This position is open for candidates in San Francisco, Seattle, or New York City, and will report to the Head of New Bets Design within our Consumer organization. You will work in a hybrid model, working from one of our offices 1-2 times a week with the rest working from home. Your primary impact is making the team faster and more autonomous. You build reusable workflows, shared tools, and decision frameworks that let every designer on your team operate at a higher level with less coordination overhead. Your secondary impact is revenue: the speed and quality gains you unlock translate directly into more experiments shipped, faster iteration cycles, and measurable business outcomes across your team and adjacent teams. You're excited about this opportunity because you will... Define projects with a clear point of view on what to build,

Senior Systems Design & Integration Specialist Company: The Boeing Company The Boeing Company is currently seeking a Senior Systems Design & Integration Specialist to join the team in Seal Beach, CA; Berkeley, MO; Hazelwood, MO; Chicago, IL; or Everett, WA. The System Design & Integration Specialist will work proactively, while being a customer-obsessed problem solver with a true &#34;find a way&#34; attitude — someone who champions customer needs and owns solutions from concept through implementation. If you thrive collaborating across globally dispersed teams and vendors, lead meetings with confidence, and enjoy using strong analytical skills and Boeing in-house tools to tackle challenging problems independently, you'll excel here. Bring your detail-oriented, organized approach and ability to juggle multiple projects and deadlines and join us to make a measurable impact on high-value customer outcomes. Position Responsibilities: Act as workload manager for consultation requests submitted through any means (official Service Now requests, email requests, shoulder taps, etc.) with goal of having customers be comfortable with researching self-help articles and submitting requests through correct channels Gather customer feedback on processes and find ways to improve overall time to complete requests Incorporate feedback into regular daily activities utilizing Agile methodology, or Product Lifecycle Management processes Consult with customers (end-users) to gather requirements and identify if needs could be met with existing solutions or not Prioritize those requests to design, test, and implement a solution Work with appropriate product supplie

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. 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. The Role We are looking for a Principal Product Manager to lead the strategic evolution of the Auth0 Platform Infrastructure. In this highly visible, high-impact leadership role, you will be the visionary force behind the core infrastructure, consumption models, and platform capabilities that power Auth0’s immense global scale. You will own the multi-year strategy for critical platform pillars, with a heavy emphasis on redefining our rate-limiting and platform consumption frameworks. As a Principal product leader, you will navigate multi-dimensional scaling challenges (including the paradigm shift of autonomous AI agents), influence executive stakeholders, and ensure our platform remains the most resilient, secure, and performant identity solution for the world’s largest enterprises. What You’ll Do Drive the Long-Term Platform & Consumption Strategy: Define and own the multi-year roadmap for Auth0’s core infrastructure. Align deeply technical platform architecture with broader business objectives, Go-To-Market strategies, and overarching revenue goals. Spearhead the Strategic Evolution of Rate Limits & Monetization: Transform rate limits from a protective mechanism into a core business strategy. Pioneer dynamic consumption models, proactive policy-aware observability, and intelligent throttling strategies that align platform costs with customer value, reduce escalations, and unlock new SKUs. Architect Global Cloud Resilience & Scale: Champion ov

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is in a defining moment — from turnaround to international growth, from traditional rideshare to the autonomous future — and how we build, organize, and lead our people will determine how well we get there. As Vice President, People, you will help drive the business forward through the strength of our people strategy, serving as a right hand to our Chief People Officer and a trusted advisor to Lyft's executive leadership team. This is a high-impact role for a seasoned people executive who operates at altitude and on the ground in equal measure, thrives in fast-paced, dynamic environments, and is energized by the chance to own some of the most complex and consequential work in the function. Reporting to the Chief People Officer, you will lead the People Business Partner organization, own workforce planning for the enterprise, and drive the human capital strategy behind Lyft's M&A activity from diligence through integration. You'll partner directly with the executive leadership team, represent the People function in cross-functional forums, and shape the org design, structure and ways of working that will carry Lyft into its next chapter. You'll anticipate challenges, help leaders look around corners, and bring forward-thinking solutions to keep Lyft's workforce agile, engaged, and ready for the future while shaping how the People function itself grows from here. Join us and help shape the future of work at one of the most mission-driven, people-focused companies redefining mobility. Responsibilities: Executive Partnership & People Strategy Partner directly with the Chief People Officer and executive leadership team on the people strategy behind Lyft's most significant business decisions, acting as a trusted advisor and bringing best-in-class practices to enable growth. People Business Par

Role Summary Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it. What you'll do Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies. Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch. Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered. Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions. What we're looking for A track record of

About the Team: Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure. What You'll Do: Own systems end to end — design them, build them, and support them in production. Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you. Sit with the people who use what you build, and turn what you learn there into a system. Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them. Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it. Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring. Spot the platform work nobody has asked for yet, make the case for it, and build it. Your Background: 5+ years of professional experience building and operating production systems, from design through production ownership. A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against. Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement. You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke. Expe

About the Team The Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. Uncover opportunities to drive perfect interactions, tr

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring