Event Planning Manager in Canada

The Team + The Role Pendo's Field Marketing team partners closely with Sales to create programs that drive pipeline growth, accelerate deals, and deepen customer relationships. The team builds targeted regional experiences and campaigns that bring Pendo's brand to life for enterprise prospects and customers. The Field Marketing Manager is an embedded strategic revenue partner to the Enterprise sales team. You will own account-specific programs, translate intent data into targeted campaign strategies, create high-touch executive-level experiences, and co-develop territory plans with RVPs. Events are one tactic in your toolkit, not the job itself. This is a hybrid role based out of our office in San Francisco, California. What this looks like day-to-day Sales alignment and territory strategy: Partner closely with RVPs and Account Directors to shape territory and account strategy from the ground up. Attend weekly team calls and account pod meetings, brief the team on campaigns and upcoming programs, and serve as the primary marketing point of contact for Enterprise sales activity in your territory. Account-based and product-based programs: Own dedicated programs for your top 10 priority accounts each quarter, including executive gifting, on-site visits, bespoke events, account-specific content and ads, and direct mail. Maintain account briefs with each account pod and partner with Enterprise demand generation on a coordinated coverage model. Regional field events: Plan and execute approximately three regional in-person field events per quarter in partnership with the AVP. Own pre-event and post-event strategy, attendee targeting, invite flows, day-of experience, reporting, and spend efficiency analysis so the team understands what works in your territory. Intent data and signal activation: Develop working fluency in intent platforms and reports to monitor account buying signals. Review bi-weekly signal briefs and translate them into account-specific program actio

About the Team DoorDash for Business is how companies feed their people. We build the products that let a company run a recurring team lunch, give every employee a meal budget, cater an event or meeting and manage all of it through a single corporate account - across every brand and every market DoorDash operates in. About the Role We're looking for an Engineering Manager to lead a team in DoorDash for Business. Our domain runs from the moment an order is placed to everything a company needs to administer it: high-complexity ordering for catering, recurring team meals, and group orders; the admin portal, identity, and member management that companies run their account on; budgets and policy enforcement; and the expense and travel integrations that connect us to our customers' finance systems. You'll own a pod of 8-10 engineers with a critical charter inside that domain, real revenue attached to it, and close partnership with Product, Design, and Sales Strategy & Operations. You must be located in the Seattle, San Francisco, Sunnyvale, or New York Metro Area for this hybrid position. You're excited about this opportunity because you will… Own a business-critical charter end to end - set technical direction, define the roadmap with your PM and Business counterparts, and be accountable for what ships and how well it runs. Build and grow a team - Hire, level up, and retain engineers; set the bar for what good looks like on your pod; give people work that stretches them. Work on a genuinely global product - Your charter serves the US alongside EMEA, LATAM, and APAC, with partner pods in India, Helsinki, and Brazil. You'll help decide what's built once globally versus what needs regional variation and build the partnerships across time zones to make that stick Take on real architectural weight - Consolidating onto one global stack means untangling parallel implementations, drawing clean service-ownership lines, and making migration calls with production tr

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

Position Overview: As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements. This role is ideal for a mid-level engineer who writes solid code and embraces AI-powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows. Key Responsibilities Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services. Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production. Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements. Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment. Required Experience/Skills 3–5 years of professional software engineering experience in an agile, fast-paced environment. AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics). Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness). Cloud & infrastructure basics: Hands-on with AWS ser

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. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne

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. We are looking for a Senior Software Engineer to join our Product Platform org - the group that powers product development across Vanta by building the shared foundations that every engineering team builds on top of. This hire will join one of two closely-aligned teams within the org, each working on foundational challenges with company-wide impact. Application Primitives is responsible for the shared, customer-facing platform components that product teams implement across the product: examples include comments, notifications platform, event log infrastructure, and agentic audit trails. This team sits at the intersection of platform and product - not pure infrastructure, not pure product - building the reusable building blocks that let other teams ship faster and more consistently. Libraries & Foundations is a brand-new team that owns Vanta's internal engineering libraries and golden-path patterns. Sitting between core platform and product platform in the stack, this team builds the TypeScript-first abstractions and shared foundations that all Vanta engineers build on top of - including event-driven architecture libraries, code quality tooling, and test frameworks. You'll be evaluated for both teams based on your background and interests, and the decision on team placement will reflect where your skills and passions are the strongest fit. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Software Engineer, Product Platform at Vanta: Design and build high-quality, scalable systems and shared libraries that multiple engineering teams depend on - whether that's shared

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. About the role As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale. You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. You'll love this job if you Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed

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 Streaming Foundations team builds services and operates data pipeline infrastructure to support event streaming, messaging, and analytics use cases. We are looking for a Software Engineer who is passionate about distributed systems, platform engineering, and solving data-intensive problems at scale. In this high-impact role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Auth0 to scale for years to come. What you’ll be doing Help set the technical direction for the team and influence the engineering roadmap for the Platform’s streaming capabilities Design and lead the implementation of our most complex and critical systems for data-intensive use cases. Research and champion new technologies and architectural patterns to solve strategic challenges and scale the platform. Lead and influence cross-functional initiatives, ensuring technical alignment and successful execution across multiple teams. Improve the operational posture of our systems by designing for observability, reliability, and scalability, and by mentoring others in operational best practices. Coach and mentor senior engineers and act as a technical leader across the engineering organization. Collaborate with different stakeholders like product teams whenever needed. What you’ll bring to our teams 7+ years of software development experience in a fast-paced, agile environment Experience working with Golang or Java is preferred H

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As an AV Production Specialist, you will be a critical part of supporting the technical aspects of Figma's internal events. As a member of the broader IT Team, the ideal candidate is an excellent communicator, customer service oriented, highly organized, and can adapt quickly when event schedules or technical needs change on short notice. This role will report directly to the AV Manager. This is a full time role based in our SF Hub. What you'll do at Figma: Coordinate and operate Figma's internal events, including setup, technical checks, and live event support Manage and operate PTZ cameras, microphones, and other AV equipment during live and hybrid events to ensure high production quality Provide real-time technical support to presenters, attendees, and stakeholders during events, with a focus on customer service and professionalism Coordinate with internal stakeholders and our SF Hub Workplace team on event needs during weekly meetings Maintain Event SLO's with AV Manager and collaborate on documentation Troubleshoot issues as they arise in our All Hands space and conference rooms Perform routine conference room sweeps to ensure readiness, cleanliness, and functionality of AV systems Assist in provisioning and configuring new hardware (cameras, microphones, conferencing devices) for office builds and upgrades Maintain an organized inventory of AV equipment and recommend improvements to workflows, documentation, and processes We'd love to hear from you if you have: 2+ years of experience in AV

About the Role: We're hiring Senior and Staff Data Platform Engineers to join the Data Infrastructure teams in Toronto. Together these teams own the infrastructure that processes billions of events per day: Spark-on-Kubernetes, Flink and Kinesis pipelines, a multi-petabyte Delta Lake, a large-scale MemoryDB feature store, Databricks multi-environment operations, and the catalog and lifecycle systems that govern it. The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production. This is a hybrid-role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Spark-on-Kubernetes — EKS-based compute platform for Spark workloads: cluster configuration, Pod Identity IAM, job environment setup, Kustomize overlays, and shadow canary validation Event ingestion — Rust services and Flink jobs processing billions of events per day over Kinesis; throughput, reliability, on-call response, and AI-assisted operational tooling to reduce toil Platform infrastructure — Terraform modules for environment provisioning, cross-account AWS IAM, ARC runner infrastructure, and CI/CD for data platform changes Feature store and ML compute — Flink-based real-time feature pipelines feeding a large-scale MemoryDB cluster; GPU capacity governance and Databricks multi-environment operations for ML training workloads Workflow orchestration and CDC — Airflow-based DAG deployment, change data capture pipeline operations, and data quality monitoring Your Background: 3+ years building and operating production data platform infrastructure at the cluster or platform level, across Spark, Flink, Kinesis, Kubernetes, or equivalent Deep experience in at least one of: Spark-on-K8s cluster operations, Rust-based data or systems engineering, Kubernetes platform engineering and IaC, or data catalog and governance tooling Production AWS experience or equivalent: EKS, S3, Kinesis, and mu

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team The go-to-market team sits at the centre of Forma.ai’s growth engine, directly impacting pipeline, revenue, and our reputation in the market. This team is strategic, creative, and relentlessly focused on scaling an efficient, measurable go‑to‑market operation. What You'll Be Doing As a Sales Development Representative, you’ll help create new opportunities and build pipeline for Forma.ai. You’ll work closely with Sales and Marketing to identify the right prospects, engage decision-makers, and turn interest into qualified sales opportunities. Outbound & Prospecting Research target accounts and identify key stakeholders across Sales, Revenue Operations, HR, and Finance Execute personalized outbound outreach across email, phone, LinkedIn, and other channels Test and iterate on messaging, sequences, and outreach tactics to improve engagement and conversion Qualification & Pipeline Qualify prospects to understand their priorities, challenges, and potential fit for Forma.ai Book qualified meetings and create new pipeline for our Account Executives Use CRM and sales engagement tools to manage activity, track engagement, and stay organized Sales & Marketing Collaboration Partner closely with Account Executives on target accounts, messaging, and outreach Follow up with inbound leads, event attendees, and prospects engaged through marketing programs Work with

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team The go-to-market team sits at the center of Forma.ai’s growth engine, directly impacting pipeline, revenue, and our reputation in the market. This team is strategic, creative, and relentlessly focused on scaling an efficient, measurable go‑to‑market operation. What You'll Be Doing As a Business Development Representative, you’ll help create new opportunities and build pipeline for Forma.ai. You’ll work closely with Sales and Marketing to identify the right prospects, engage decision-makers, and turn interest into qualified sales opportunities. Outbound & Prospecting Research target accounts and identify key stakeholders across Sales, Revenue Operations, HR, and Finance Execute personalized outbound outreach across email, phone, LinkedIn, and other channels Test and iterate on messaging, sequences, and outreach tactics to improve engagement and conversion Qualification & Pipeline Qualify prospects to understand their priorities, challenges, and potential fit for Forma.ai Book qualified meetings and create new pipeline for our Account Executives Use CRM and sales engagement tools to manage activity, track engagement, and stay organized Sales & Marketing Collaboration Partner closely with Account Executives on target accounts, messaging, and outreach Follow up with inbound leads, event attendees, and prospects engaged through marketing programs Work w

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude is only as useful as the data inside it. The Data Warehouse and Integrations team owns how that data gets in and out — importing behavioral and customer data from cloud data warehouses like Snowflake, Databricks, and BigQuery, from cloud object storage like S3 and Azure Blob Storage, and pushing enriched event data back out to warehouses, object storage, streaming destinations, and downstream advertising and marketing platforms. That means batch and streaming pipelines moving billions of events a day, connections that have to keep working across dozens of customer-controlled systems, credentials and configuration that have to stay correct and secure, and latency and reliability targets that customers build their own pipelines on top of. Recent work includes launching new warehouse export destinations, migrating our import

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. At Airtable, we're passionate about democratizing software creation — empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale. As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions. The Team Our team is embedded in how Airtable understands itself as a business, working closely with Data Science and Analytics. What's unusual here: the platform you're instrumenting is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to wire it up, measure its adoption, and influence what gets built next. Product & AI Data Infrastructure This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business question