Engineering Manager Development Infrastructure in Canada

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! Director, SPM Implementation About the Team The Customer Operations team partners with new and existing customers to implement and optimize the company’s platform, ensuring clients maximize the revenue-driving potential of their sales compensation programs. The team leads complex implementations, drives operational excellence, and continuously evolves Sales Performance Management (SPM) processes through data-driven insights and scalable platform solutions. As a Director of Implementation , you will lead the strategic direction of implementation and customer onboarding across a portfolio of enterprise customers. You will oversee implementation teams, guide architectural design of customer solutions, and collaborate closely with Product, Engineering, and Revenue teams to ensure the platform evolves in alignment with customer needs and business priorities. If you’re passionate about building high-performing teams, driving customer impact through data and technology, and shaping the future of sales operations , we’d love to hear from you. What You'll Be Doing Leadership & Strategy Define and lead the implementation strategy and operational framework for onboarding and scaling customer deployments. Build, mentor, and lead a high-performing implementation team , establishing best practices, processes, and standards for delivery excellence. Partner with executive leadership to align customer implementation strategy with company growth and product roadmap priorities . Establish KPI

TextNow is on a mission to make communications affordable and accessible for everyone. As a full MVNO operating our own mobile core network over LTE and 5G NSA, we have the unique advantage of controlling our network infrastructure end-to-end. We operate the HSS, PGW, and other critical network functions, giving us the flexibility to innovate and deliver exceptional service to millions of users. About the Role Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. T extNow is looking for a new SecOps team member to secure, monitor , and enable automated response within our infrastructure. What You’ll Do Ensure Secure & Reliable Systems: Design, implement, and maintain security-focused infrastructure to protect TextNow’s services while ensuring reliability and scalability. Security Automation & Infrastructure as Code: Develop and enforce best practices using Terraform, Ansible, Crowdstrike , and AWS security tools , ensuring secure configurations, automated compliance checks, and infrastructure as code. Threat Detection & Incident Response: Participate in an on-call rotation to respond to security incidents, investigate vulnerabilities, and implement proactive measures to prevent future threats. Work closely with engineering teams to remediate security risks. Monitoring & Logging for Security: Improve observability by implementing security monitoring solutions, logging best practices, and alerting mechanisms to detect anomalies and suspicious activity. Access Control & Identity Management: Manage IAM roles, permissions, and policies to ensure least privilege access and enforce security controls across cloud and internal systems. Collaboration & Security Advocacy: Wo

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Scale our terraform deployment across all of our Snowflake assets Continue to advance our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience wor

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

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. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

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 Cryptographic Services & Infrastructure team secures and manages cryptographic keys and enables Robinhood engineering teams to safely leverage core capabilities like encryption and decryption. Join a high-impact team responsible for protecting some of Robinhood's most sensitive financial and customer data! In this role, you will help build and operationalize Robinhood's new in-house card-processing service—a critical initiative that brings core capabilities in-house and offers meaningful ownership across software, infrastructure, security, and operations. While prior cryptography or security experience is highly preferred, we are excited to empower strong engineers with a passion for security to learn and grow their skills on the job. This role is based in our Bellevue, WA and Menlo Park, CA offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do day-to-day Design, build, and maintain production services and infrastructure supporting key management, encryption, and decryption functions. Help architect, launch, and scale Robinhood’s new in-house card-processing environment to protect sensitive card, financial, and tax-related data. Write clean, maintainable production code and build operational tooling across software, infrastructure, and security controls. Collaborate with internal engineering teams to support migrations, drive adoption of

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 The Data Foundations team drives Data Engineering and Data Apps and Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion. We are looking for talented data-minded software engineers to help us manage business-critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you'll do Every record in our data warehouse is vitally important for the businesses that use Stripe, so we're looking for people with a strong background in software engineering and data to help us scale while maintaining correct and complete data. You'll work with a variety of internal teams across Product, Data Science, and GTM to help them solve their data needs. Your work will provide visibility into how these stakeholders and the Data Foundations organization are performing and how we can deliver a better experience to Stripe's customers. Responsibilities Design

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 Large, complex businesses on Stripe have historically had to create a new Stripe account for each global entity or business unit—making it difficult to unify reporting and manage payment operations across all accounts. Our customers want a way to manage these accounts under one umbrella so they can operate at scale more efficiently. We are responsible for building Organizations, which allows merchants to effectively and centrally manage their businesses across multiple Stripe accounts. As Stripe continues to grow its suite of product offerings beyond payments, Organizations will unlock a new phase of growth for Stripe. We will do this by enabling our platforms and businesses to model their complex businesses and distribute all of Stripe’s products to their end users. You can read more about what we are working on here (our Stripe Blog). What you’ll do As a leader on the User Auth Experience team, you will help shape the team’s vision and roadmap, guide and mentor your peers, and lead by example. Authentication, Login, and general Account Security experiences are deeply cross-cutting areas at Stripe with critical security, safety, and quality considerations. You will work with many partner teams: peer engineering organizations to build robust/reusable/standardized access controls, as well as non-engineer groups to shape the security, beauty, and usability of the end-to-end journey of Stripe account authentication. You’ll pla

Who we are About Privy Our mission is to make privacy and user ownership the default online. We build simple, flexible application programming interfaces (APIs) and tools that help developers create products on crypto infrastructure. Privy provides the abstraction and infrastructure layer above wallets, integrating across blockchain networks, third-party providers, and Stripe products such as Treasury and Link. We solve complex technical problems while using Stripe’s global reach to support customers including Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo. Our technology powers experiences for both mainstream users and crypto-native audiences. Learn more: [Privy and Stripe: Bringing crypto to everyone ] About the team The Account Executive, Product team connects Privy’s technology with companies building new products across fintech and crypto. The team works closely with Product, Engineering, and Go-to-Market partners to understand prospective customers’ needs, shape technical and commercial solutions, and turn market insights into product and sales strategy. Its focus includes priority segments such as neobanking, payments, and brokerages. What you’ll do As an Enterprise Account Executive you’ll own complex enterprise sales cycles and help expand Privy’s work with companies across fintech and crypto. You’ll build relationships with senior commercial and technical stakeholders, develop new opportunities, and help refine Privy’s enterprise sales approach. You’ll also contribute to Privy’s global growth strategy and represent the company at industry events. Responsibilities Partner with the Head of Go-to-Market (GTM) to build and close a strong pipeline of enterprise prospects. Develop and test outbound campaigns based on market and customer feedback. Manage a pipeline across multiple ideal customer profiles. Build deep expertise in Privy’s products and lead discovery calls with fintech prospects to understand their needs and explain Privy’s value. Own

Who we are About Privy Our mission is to make privacy and user ownership the default online. We build simple, flexible application programming interfaces (APIs) and tools that help developers create products on crypto infrastructure. Privy provides the abstraction and infrastructure layer above wallets, integrating across blockchain networks, third-party providers, and Stripe products such as Treasury and Link. We solve complex technical problems while using Stripe’s global reach to support customers including Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo. Our technology powers experiences for both mainstream users and crypto-native audiences. Learn more: [Privy and Stripe: Bringing crypto to everyone ] About the team The Account Executive, Product team connects Privy’s technology with companies building new products across fintech and crypto. The team works closely with Product, Engineering, and Go-to-Market partners to understand prospective customers’ needs, shape technical and commercial solutions, and turn market insights into product and sales strategy. Its focus includes priority segments such as neobanking, payments, and brokerages. What you’ll do As an Enterprise Account Executive you’ll own complex enterprise sales cycles and help expand Privy’s work with companies across fintech and crypto. You’ll build relationships with senior commercial and technical stakeholders, develop new opportunities, and help refine Privy’s enterprise sales approach. You’ll also contribute to Privy’s global growth strategy and represent the company at industry events. Responsibilities Partner with the Head of Go-to-Market (GTM) to build and close a strong pipeline of enterprise prospects. Develop and test outbound campaigns based on market and customer feedback. Manage a pipeline across multiple ideal customer profiles. Build deep expertise in Privy’s products and lead discovery calls with fintech prospects to understand their needs and explain Privy’s value. Own

About the Role: We're seeking a Director of Product Support Operations to lead the team that runs how Tubi's Tech Org plans, executes, and ships. PSO is a deliberately lean, AI-first team of Technical Program Managers and Customer Experience specialists built around three durable jobs: orchestrating agentic systems, people, and the cross-team programs that land Tubi's most complex initiatives for over 100 million monthly active users. You will own the Tech Org's most complex, company-level programs, spanning live events, platform integrations, monetization, and financial operations, along with the agentic systems that carry the org's operational load. You will also own the customer experience function end to end and run the Tech Org's operating cadences, including planning cycles, executive business reviews, and org-wide communications. You'll work closely with engineering, product, design, data science, and finance leaders as a trusted executive partner. This team consists of builders, not just coordinators. If you're passionate about building with AI rather than coordinating around it, landing complex programs at company scale, and developing world-class talent while staying hands-on yourself, this is the role for you. This is a hybrid role based out of our San Francisco, New York, Los Angeles, or Toronto offices. What You'll Do: Define the multi-year strategy and 12-month roadmap for Product Support Operations, aligning the portfolio with company objectives Lead, develop, and recruit high-performing Technical Program Management and Customer Experience team members, setting a high bar through direct feedback and rigorous performance management Operate as a player-coach: personally design, ship, and maintain agentic workflows and lead high-stakes programs while modeling the builder-TPM standard for the function Own execution of the Tech Org's most complex, company-level programs spanning multiple organizations and external partners, with impact validated by metrics

Overview: Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products designed to be highly relevant, accurate, and scalable – delivering superior insights to a diverse, global client base. We are seeking an experienced, motivated Tehnical Operations Engineer to join our growing team. This is a multiple-hats role focused on SaaS/platform operations and tier-2 support for client-facing systems. You will own the administration and reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we scale. You will partner closely with Customer Success, Product, and Engineering to proactively monitor, support, and improve critical systems. Through practical, creative problem-solving, you will strengthen reliability, accelerate time to resolution, and increase operational visibility. Day to day, you will triage and resolve client technical questions, manage vendor license administration and renewals, and produce reporting that informs operational decisions. This role is a launchpad toward an SRE/Platform Engineering track as you grow into deeper automation, reliability engineering, and systems design work. This is a hybrid position based out of our Toronto office. What You’ll Do: Platform Support Own routine ops and configuration changes for critical SaaS platforms – Including Tableau, Freshdesk, Datadog, and our own client facing and internal portals Configure and maintain Freshdesk portals, routing, SLAs, permissions, integrations, etc. based on business requirements. Automate manual operations with Python, PowerAutomate, and shell scri

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. As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including: How do we accurately predict acute and chronic traffic conditions? How do we improve the recommendations of our routing algorithms? How do we keep our travel estimation promises to our riders and drivers? How do we benchmark and measure the success of our services? Responsibilities: Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration Prioritize and lead deep dives into our data to uncover new product and business opportunities Partner closely with E

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir’s in-house legal team works to proactively address legal issues so that Palantir can continue to drive positive impact in the world. As a Commercial Contracts Specialist, you will be a non-attorney partnering closely with Commercial Counsel to effectively support our rapidly growing portfolio of commercial customers. In this role, you will also work closely with Palantir’s Sales, Legal, Finance, and Engineering teams, while owning the drafting, administration, and negotiation of commercial customer contracts, and building infrastructure to support our commercial customers at scale. As you develop expertise with our commercial contracts and build relationships with our internal partners, you will become adept at quickly researching and answering factual and interpretive contractual questions as needed. You will also support various special projects that arise at our fast-paced, mission-focused company. We’re a team that values both creativity and teamwork - whether operating solo or collaboratively, we seek to achieve great results on challenging, time-sensitive projects. You'll be given open ended objectives and will find ways to turn them into outcomes. By focusing on the broad vision without losing sight of the details, you'll bring large and multi-phase projects to successful completion while prioritizing team outcomes over individual wins. You are able to deliver complex information in an understandable way, and can manage high touch stakeholders in a constantly shifting landscape. You are ready to become an expert on the intricate details of the contracts that enable Palantir to implement its cutting-edge technology to solve real-world pro

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. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi