Business Operations Partner Director in Canada

About the Team The Finance & Strategy team accelerates the growth of our business by identifying and implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability and defensibility of our business model. We're looking for people who can use strategy to identify areas of opportunity, and collaborate to help carry projects from conception through execution. About the Role We are looking for a Finance Manager who will work with partners across DoorDash to ensure we are making the most efficient investment and capital allocation decisions while improving the experience for our merchants and other marketplace participants. You will help lead financial reporting, forecasting, and planning, and will guide financial insights and direction for all of our operational decisions and strategies. You’re excited about this opportunity because you will… Conduct weekly reporting of financial performance of DoorDash’s Merchant business, forecast key financial metrics based on quantitative analysis of historical data.Support quarterly financial planning, collaborate with cross functional business partners to identify growth areas and business priorities.Deep-dive into complex operational questions and collaborate cross-functionally outside Finance (Sales, Operations, Support) as well as within Finance (Accounting, Analytics, BI) to uncover the most optimal data-driven business decisions and investments.Identify key opportunities & risks to the business, quantify and evaluate the impacts, propose a solution and investment case, and ensure efficient execution. Leverage and apply knowledge of SQL, finance, analytics, and technology to manage financial reporting, forecasting, and quantitative analysis to assist DoorDash in making better business decisions. We’re excited about you because… 6+ years of experience overall, preferably from Strategic Finance, Corporate Finance, Investment Banking, or Consulti

Sigma Computing is seeking an experienced employment counsel to provide legal guidance on all aspects of employment law across the organization. This role will partner closely with People Operations, leadership, and business teams to manage risk, ensure compliance, and support a positive employee experience in a fast-paced, high-growth technology environment. Key Responsibilities Provide legal advice on employment-related matters including onboarding, performance management, disciplinary actions, terminations, and reductions in force; Ensure compliance with federal, state, and local employment laws and regulations (U.S. and, if applicable, international); Draft, review, and update employment agreements, offer letters, contractor agreements, policies, and handbooks; Advise on employee relations issues and dispute resolution; Manage and oversee outside employment counsel and litigation matters; Complete workplace investigations; Partner with People Ops (HR) and Governance, Risk, & Compliance (GRC) teams on compliance training, and policy implementation; Monitor changes in employment law and proactively recommend updates to company practices; Support M&A, due diligence, and integration efforts related to employment matters as needed. Qualifications Juris Doctor (JD) from an accredited law school; Active license to practice law in at least one U.S. jurisdiction; 5+ years of experience practicing employment law (in-house experience at a technology or SaaS company preferred); Workplace investigation training and experience; Strong knowledge of U.S. employment laws (FLSA, ADA, FMLA, Title VII, wage & hour, classification, etc.); Ability to provide practical, business-oriented legal advice is essential; Workplace investigation training and experience; Experience working closely with HR/People teams and senior leadership; and Excellent communication, judgment, and stakeholder management skills. Preferred Qualifications Experience s

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. We are hiring a Marketing Technology Lead to own Lyft's B2B marketing technology stack, spanning marketing automation, content and web, lead routing, data enrichment, and attribution. As the senior technical owner of that stack, you will lead solution design, own the architecture and data model that carry a lead from first touch through to a qualified opportunity, and partner with Marketing Operations, Sales Operations, Sales Technology, Privacy, Legal, and Data to translate business needs into durable, scalable systems. This is a hands-on leadership role for someone who knows B2B marketing operations, can build the systems that run them, and is looking for ways to bring AI into how the stack works, not just what it produces. Responsibilities: Serve as the senior technical owner of the B2B marketing technology stack, from solution design through delivery, adoption, and ongoing support. Lead requirements gathering with Marketing Operations, Sales Operations, Sales Technology, and Data partners, and translate them into functional and technical designs. Remain hands-on, configuring and extending the marketing automation platform (HubSpot) across workflows, forms, lead scoring, and custom objects, and building the integrations that connect the stack. Own the marketing technology roadmap and architecture, including the lead and account data model, enrichment and routing logic, and integrations with the CRM, data platform, web, and advertising systems. Own the tracking and instrumentation layer, including tag management, site and campaign tracking, and the data capture behind attribution. Own the lead lifecycle systems, partnering with Sales Operations and Sales Technology on lead identity, deduplication, scoring, routing, MQL and SQL definitions, and funnel stage integrity. Identify where AI can im

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 a seasoned Sr. Manager, Accounts Payable, tto join our Controllership organization. In this high-impact leadership role, you will own Lyft’s end-to-end AP, which includes the T&E and corporate card programs. The role spans domestic and international operations—and serves as a key strategic and operational leader overseeing how the company pays its corporate suppliers, manages vendor relationships, and scales its procure-to-pay processes. You will lead a team of managers and individual contributors located across multiple locations, and partner closely with Finance, Procurement, Treasury, Legal, Tax, and the broader business to ensure operational and compliance excellence at scale. This role is uniquely positioned at the intersection of operational rigor, global expansion, and financial transformation—making it ideal for a leader who thrives on building world-class teams, deploying automation intelligently, and delivering best-in-class supplier experiences. Responsibilities: Team Leadership & Development Lead, mentor, and develop a multi-layered team of AP managers and staff distributed across the multiple locations, fostering a culture of accountability, continuous improvement, and growth. Set clear performance expectations, provide regular coaching and feedback, and support career development pathways for all direct and indirect reports. Build organizational capacity by identifying skill gaps, championing training initiatives, and creating succession plans for critical roles. Model Lyft’s values and leadership principles, cultivating a high-trust, inclusive, and results-oriented team environment. AP and T&E Operations & Procure-to-Pay Collaborate with business partners on the full end-to-end procure-to-pay cycle including Global Supply Management and Procurement O

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 is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

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 is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT As a Senior Full Stack Software Developer, you will be responsible for leading the design, development, and delivery of scalable full-stack applications, shaping system architecture, and driving engineering excellence across Redwood’s automation and SaaS platforms. Design, develop, and implement scalable, secure, and high-performance full-stack applications using Java, JavaScript, and related technologies Architect and build backend services, APIs, and microservices with a focus on scalability, reliability, and maintainability Develop responsive, accessible, and high-quality front-end user experiences Partner with product managers and stakeholders to define technical strategy and translate business requirements into system designs Own and contribute across the full software development lifecycle, from architecture and design to deployment and optimization Establish and promote best practices in coding, testing, observability, performance optimization, and AI usage Lead architectural discussions a

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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

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 an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

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

About the Team As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery team. About the Role As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists who are working on improving the consumer experience. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics strategy to inform strategic product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations. You're excited about this opportunity because you will… Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain Experience managing a team of data scientists, and a track record of delivering impactful analyses 8+ years of experience i

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's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization. We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication. You will report to a Data Science Manager. Responsibilities Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions Partner with product managers, engineers, and operators to translate the data into decisions and action 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 relev

We are seeking a seasoned Manager of Revenue Accounting to be a key leader on the Global Controllership team. This role is responsible for owning the end-to-end revenue recognition function under ASC 606, partnering cross-functionally with Sales, Revenue Operations, Legal and FP&A. The Manager, Revenue Accounting plays a critical part in ensuring accurate financial reporting, strong internal controls, and compliance with accounting standards across multiple jurisdictions. The ideal candidate combines technical accounting expertise with strong leadership skills and thrives in a fast-paced, high-growth environment. This role is open to remote-applicants in Canada (in Provinces where we can hire legally). WHAT YOU’LL DO: Serve as an internal technical accounting expert for revenue accounting with deep knowledge of IFRS 15 / ASC 606, providing advice to stakeholders, including senior leaders. Develop and implement revenue recognition policies and processes. Interpret related policies and authoritative literature and exercise judgement to determine appropriate action related to revenue-related transactions and write related technical memos Manage the monthly close process related to revenue including the timely completion of close items, analytical review, deferred revenue and commissions schedules and other reports. Prepare revenue related disclosure to support the preparation of the company’s financial statements Develop and implement timely reporting and process improvements based upon industry trends, authoritative literature and business objectives Monitor relevant IFRS and SEC developments to ensure revenue recognition policies and procedures are in compliance Partner with other functional teams to improve system processes and reporting outputs Develop training on revenue recognition rules, policies and practices to present to Sales and other departments within the organization Participate in monthly and quarterly revenue forecasting Manage al

At Lyft, our mission is to serve and connect. Fleets is a dynamic area working with 3rd-party partners to match autonomous, livery, and taxi fleets with the Lyft marketplace; managing programs for special vehicles like Express Drive rentals, electric, and premium vehicles; and crafting tooling for on-the-ground fleet operations. As an Engineering Manager on Global Growth, you’ll be responsible for setting the technical direction for the team, making tradeoffs between technical investments and product work, and communicating the strategy transparently to the team and to leadership. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will lead a group of talented engineers and help the team to deliver business impact while being open to change through constant experimentation. If you enjoy collaborating with technical and nontechnical partners on a product with real-world impact, this is the role for you. Responsibilities: Lead a team of talented backend and mobile engineers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help develop their careers, and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Set the technical vision and strategy for an evolving product area Co-own the product strategy with the product partner and ensure timely delivery with high quality of the engineering solutions Create plans for prioritizing technical and resourcing challenges in your organization Maintain a balance between building sustainable, high-impact projects and shipping things quickly Instill a spirit of continuous improvement in the team’s code, architecture, and processes Work closely with the Lyft recruiting team