Strategic Operations Lead in Canada

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Senior Internal Trust and Protection Analyst will play a pivotal role in identifying, assessing, and mitigating risks posed by employees, contractors and others with access to sensitive information. This candidate will also help develop corporate strategy, review policy and procedures, evaluate insider risk control gaps, and develop training related to insider risk and intellectual property protection. This role acts as a subject matter expert throughout the entire insider risk lifecycle. It covers detection, triage, investigation, case adjudication, and mitigation. The position requires strong analytical, technical, and communication skills. It also demands proficiency in industry-standard investigation methods and working with cross-functional teams to improve Micron’s security posture. You will balance robust security measures with maintaining a positive work culture and ensuring the preventive actions do not erode employee trust and morale! Responsibilities: Lead end-to-end investigations into the most sophisticated and sensitive insider risk matters at Micron, including suspected intellectual property theft, major theft, trade secret misappropriation, economic espionage, unauthorized data ex-filtration, fraud, and workplace violence threats. Develop and implement comprehensive investigative plans, including evidence collection strategies, coordination with Micron's various investigation partners, and structured witness and subject interviews using advanced elicitation techniques.</

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. The Rider Loyalty team is where riders become members. We build the membership, rewards, and benefits products that give people a reason to choose Lyft on every trip, and we make sure the value a rider has earned shows up at the moment it matters. Loyalty sits inside the Rider Loyalty, Partnerships, and Rider Pay (PLP) group. You will lead a team of engineers across iOS, Android, and Server. You will own the membership and rewards platform end to end and work daily with Product, Design, Data Science, and Partnerships. Responsibilities: Own the Loyalty roadmap from strategy through delivery. Turn goals like member growth and retention into an engineering plan, and manage the dependencies that run through Partnerships and Rider Pay. Build and scale the systems behind membership, rewards earning and redemption, and benefit delivery. Hold a high technical bar through architecture reviews, tech debt management, observability, reliability, and on-call. Grow engineers by matching people to the right opportunities, setting clear expectations, and giving feedback early. Experience: 5+ years building software professionally, including 2+ years directly managing engineers. You have managed a team that shipped both mobile and backend work, and you can still read and review code in at least one of those areas. You have owned a consumer product used by millions of people each month. You use AI tools in your own work and have a clear view of where they help and where they do not. BS/MS in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Accou

Location Details: Remote, Canada - British Columbia or Ontario At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. What you'll get to do... Own lifecycle email campaigns end ‑ to ‑ end, setting strategy and acting as a thought partner to define objectives , target audiences, segmentation, and messaging Lead brief development, copywriting, and creative direction, and drive execution across build, QA, launch, and post ‑ campaign analysis for continuous optimization Build and deploy campaigns in SFMC, including data extensions, dynamic/ personalized content, and basic automations Use basic SQL to define, validate , suppress, and measure audiences, ensuring accurate targeting and measurement readiness Partner closely with Product, PMM/GTM, Design, Analytics, and Engineering to translate business goals into effective briefs, launches, performance insights, and an experimentation roadmap Your experience should include... 6+ years of experience in email/ lifecycle marketing, building campaigns from the ground up using a marketing automation platform (preferably Salesforce Marketing Cloud) for US audiences Proven end ‑ to ‑ end ownership from concept to launch (brief → copy/creative → build → QA → deploy), with strong project management and stakeholder communication skills Strong copywriting, creative direction, and lifecycle marketing strategy mindset to deliver high ‑ quality, high ‑ performing email campaigns Working knowledge of SQL for audience selection and validation (joins, aggregations, suppression, data

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shaping Vanta’s AI offerings, setting technical strategy, and leading projects that leverage AI to deliver smarter, faster outcomes for our customers. You'll be part of a team integrating AI into the Vanta product, working alongside a multidisciplinary group of product engineers, machine learning engineers, product managers, designers, and security and compliance experts to implement, scale, and maintain AI-enabled product experiences. In this role, you’ll build products that enable Vanta’s customers to leverage AI to accelerate their journey towards compliance, managing risk, and earning trust. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an engineer working on Applied AI at Vanta: Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems. You’ll work with other product engineers across Vanta to understand how AI systems can accelerate product adoption at Vanta Instrument evaluations, guardrails, and monitoring, and review customer usage to continually improve quality Collaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teams Make pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Mentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering culture How to be successful in this role: At least 7 years of industry experience as a software

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. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomali

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. Love our Customers is our #1 Value at Okta. The Okta Customer First Team lives and breathes this every day. A critical element of Okta’s strategy is helping our customers accelerate their time to value and expand their relationship with Okta. This is a key differentiator for Okta and we believe that all customers, large and small, deserve an exceptional experience and this assistance. When we do this well, our customers succeed and Okta succeeds by growing our renewal rates. The Success Insights Manager role is an exciting opportunity to help execute a scaled success strategy, providing exceptional, data-driven content that maximizes value for customers post-sale. You will execute digital success programs that involve designing and developing visually engaging and informative data-driven content tailored to our customers’ unique use cases that also scale effectively to meet the needs of our expanding customer base. This content will serve as powerful tools for our post-sales teams, including customer QBRs, automated delivery plans, and more, helping them demonstrate the value of Okta and drive product adoption among our largest customers. Your primary targets will include driving adoption and retention as well as the future growth of our customer base while saving time for customer-facing teams, including those who manage our largest book of accounts. You will be deep in the data, monitoring and optimizing your program

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the Role + Team The Security Engineering team builds the identity and access control plane governing how employees, services, and agentic workloads access Robinhood’s critical infrastructure. We are a platform-building engineering team focused on creating secure, frictionless, and automated self-service access systems at scale. As a Staff Software Engineer on this team, you will shape Robinhood’s foundational identity architecture, define technical strategy, and build Tier-0 access infrastructure used across the entire company! From solving complex authentication and authorization challenges to setting secure guardrails for emerging AI and agentic workflows, your technical leadership will directly impact every product team at Robinhood! What You'll Do Access Control Plane Architecture: Define and build the core technical architecture for managing employee, service, non-human, and agentic access across company-wide resources Tier-0 Platform Engineering: Design, build, and operate highly available, resilient, and observable backend identity infrastructure using Go, Python, Rust, or comparable systems languages. AuthN & AuthZ Solutions: Implement modern identity protocols and access frameworks (OAuth 2.0, OpenID Connect, RBAC, ABAC, and policy-based access controls). AI & Agentic Access Governance: Develop secure access patterns, identity frameworks, governance, and observability guardrails for AI agents, LLM applications, and Model Context Protocol (MCP) systems. Self-Service Developer Experience: Create automated, developer-friendly platforms that allow teams to request, approve, provision, and audit access without ma

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 Infrastructure builds the systems engineers depend on to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to run cross-functional programs across our infrastructure and data platform teams. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer back into how we build. Responsibilities Run infrastructure programs end to end, from kickoff through delivery Own the roadmap for your platform area: shape the strategy, sequence the work, and make the prioritization calls Drive data platform migration and modernization work, coordinating across engineering, data, and platform teams to keep dependencies and timelines under control Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Build feedback loops with customer teams and turn what you hear into concrete improvements Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background in distributed systems and data infrastructure to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience 5+ years in Technical Program Management or a TPM/PM hybrid role A background in software, data, or systems engineering, enough to go deep with engineers Experience owning a roadmap: setting strategy, prioritizing across competing demands, and defining what suc

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. Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive. The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering. This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization. Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production. We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development. You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in

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. Data and analytics are at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to support our Self-Serve segment — the fastest-growing part of Lyft's B2B portfolio, serving small and mid-size businesses across North America. This is a hands-on role for an analyst who is energized by turning product and customer data into insights that shape strategy — and who builds those insights on a foundation others can trust and reuse. You will be the dedicated analytical partner to the Self-Serve product team, measuring how new features — a redesigned signup experience, onboarding improvements, and lifecycle campaigns — drive customer activation and growth. You'll own the funnel from acquisition through engagement, define the metrics that matter, and deliver the insights that inform where the business invests next. The ideal candidate pairs analytical rigor with a builder's instinct — turning recurring questions into well-defined, reusable datasets instead of one-off answers — and can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Produce high-impact analyses on Self-Serve performance that directly inform product and go-to-market strategy Own the Self-Serve funnel — acquisition, signup, onboarding, and engagement — building the dashboards and datasets that give the team real-time visibility into product health Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Partner closely with Product and Engineering to validate instrumentation and surface data gaps before they distort the funnel or new features launch — catching the data quality issues that stay invisible until someone goes looking Turn recurring reporting into w

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. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

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. The People Development team is building the infrastructure for how Lyft grows, develops, and equips its people. As Technical Learning Manager, you will own the strategy and execution of technical learning programs for Lyft's Engineering, Science, Product, and Design organizations — one of our highest-leverage investments in people. This role sits at the intersection of learning design, program management, and functional excellence across the technology organizations. You will inherit an established portfolio of programs for software engineers — including Tech Learning, compliance training, and documentation initiatives — and will be responsible for running, evolving, and expanding them across all of Lyft’s tech orgs. You will report to the Head of People Development and work closely with Functional excellence leadership, HRBPs, and cross-functional partners to ensure our technical learning programs are high-quality, well-adopted, and tied to real business outcomes. Responsibilities: Program Ownership Own the strategy and execution of Lyft's technical learning portfolio, including engineering continuing education programs, documentation improvement initiatives and compliance training Manage mid-cycle programs with active stakeholder relationships and scheduled commitments — ensuring continuity, quality, and follow-through Provide editorial oversight for Lyft's internal technical content initiatives, including the Tech Blog — managing workflow, stakeholder relationships, and publication processes in partnership with engineering contributors Assess the current program portfolio and make recommendations grounded in engineer needs and business priorities Provide engaging learning experiences that empower technologists to do their best work at Lyft Embed AI upskilling in all programs including

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 Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking for someone who gets excited about building data infrastructure at massive scale and cares deeply about the gaming communities we serve. Someone with passion for building lovable products for Discord users and Discord engineers. We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Staff Engineer who sees ambiguity as an invitation — who builds systems that make whole teams faster, shapes technical strategy across the org, and wants your decisions to directly impact millions of gamers worldwide — we want to talk to you. To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools! This position is based in our San Francisco office. What You'll Be Doing Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team Stay a top code contributor. You write real production code while helping others reach the same bar Partner with XFN stakeholders to translate business problems into clear technical strategy Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team What you should have 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end Expertise in distributed systems and data infrastructu

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Product Marketing team’s mission is to generate customer insights that inform Stripe’s product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch. We also drive both self-serve and sales-sold marketing efforts. What you’ll do We’re seeking an experienced product marketer to own go-to-market strategy and execution for Stripe’s global selling solution. As a Product Marketing Manager, you will own solution-level messaging and positioning, create differentiated content, support product launches of our localized currency presentment products, and enable sales. Reporting to the Global Payments lead, you’ll partner with product, strategy & ops, and GTM teams to drive awareness and pipeline across Stripe’s existing customer base and prospects in a rapidly evolving market. Responsibilities Work closely with product, partnerships, and partner marketing (demand generation) teams to build a marketing strategy, with the goal of driving awareness, demand, and usage of our products Own messaging and positioning for our global selling solution. Develop