Business Strategy Principal in Canada

About the Role We are a small team of AI builders in Paytm Labs. As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will contribute to Paytm's AI inference platform (Pi), serving internal teams and enterprise customers - running our own coding and domain-specific models (voice, vision, risk, fintech workflows) as well as third-party models. You will also architect and build the platform that enables autonomous AI agents to operate safely and reliably in production - the runtime, orchestration, and developer tooling for agents to reason, plan, use tools, and execute complex multi-step workflows, automating both software development and business processes. You will work at the intersection of LLMs, distributed systems, and production fintech infrastructure, helping define how inference and agentic AI are built and deployed across payments, risk, fraud, collections, support, and developer experience.

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn. Lifecycle Marketing is a horizontal team that shapes how we engage clients and talent across the full journey, and this role sits in our demand-side acquisition lane. We’re hiring a Lifecycle Marketing Lead, Growth & Acquisition to own high-impact lifecycle programs that help close the new-client acquisition gap through smarter demand capture and stronger engagement with SMB audiences. You’ll lead key initiatives across outbound prospecting and always-on content, translate performance signals into clear recommendations, and help shape how lifecycle marketing contributes to Upwork’s 2026 priorities. This is a senior indi

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. 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

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 Governance and Compliance platform is the operating layer enterprises trust to run their security programs. We are hiring an engineer who will own the architectural foundation that makes it work for their most complex organizational structures. Program Structure and Trust is a newly chartered group at Vanta with a focused mission: build the enterprise org model that lets customers bring their compliance and security structure — product lines, business units, isolated data environments, cross-cutting audits, scoped approvals, and data residency requirements — natively into the platform. The problems this team solves determine whether Vanta can serve the enterprise customers it's increasingly winning. This is the defining technical role of the group. The Principal Engineer owns the design, phased delivery, and long-term technical direction of Vanta's enterprise org model — a multi-quarter initiative that cuts across the platform and establishes the foundation for how enterprise customers structure, segment, and operate inside Vanta. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Principal Engineer at Vanta: Own the design and multi-quarter delivery of Vanta's enterprise org model, including hierarchical product lines and business units, isolated data access and ownership, cross-cutting audit workflows, scoped approvals, and EU and GovCloud data residency support Define and evolve the core abstractions that let the platform absorb structurally diverse, often conflicting enterprise requirements — solving for the general case rather than one-off customer accommodations R

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. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

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’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a solid, experienced Software Engineer to join our Stations Software Platform team to work on helping us transition our customers to our latest generation platform and to make the platform evolve in a solution that can be brought to multiple different markets and business models. Technical interviews and interactions with the other offices in the company will be in English; however, the working environment in Montreal is bilingual. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience 5+ years of software engineering industry experience Experience with object-oriented programming Experience in distributed systems Experience with Java and/or Python, familiarity with Scala is a plus Experience working with databases, relational or NoSQL Experience writing clear, scalable and clear design documentation Experience designing, building and improving a set of team owned components Must have a track record of professional excellence Benefits: Extend

About the Team OpenAI’s User Operations team ensures that our customers' experience is nothing short of exceptional. We resolve complex issues, provide guidance, and support customers in maximizing value with our products. Within User Operations, Ads Safety Operations helps OpenAI grow advertising in a way that is safe, trusted, and sustainable for advertisers, users and the business. The Ads Safety Support team sits within Ads Safety Operations and owns the advertiser-facing support journey: helping advertisers navigate ads products, policies, reviews, and enforcement decisions while turning frontline insights into better guidance, tooling, and product experiences. About the Role We’re looking for a Senior Advertiser Support Specialist to help build and scale advertiser support within Ads Safety Operations. You’ll work directly with advertisers through support tickets, escalations, owning high-impact questions related to ads policies, review outcomes, product behavior, and operational processes. Many cases will be novel or ambiguous, and you’ll be expected to investigate carefully, communicate clearly, and drive them to resolution in a fast-moving product environment. As OpenAI’s advertising ecosystem grows, your work will help advertisers operate successfully at scale while serving as a critical bridge between frontline support and the teams responsible for product quality, policy integrity, and platform safety. Beyond resolving individual cases, you’ll help define what world-class support looks like in an AI-native environment. You’ll turn support interactions into operational intelligence, identifying recurring friction, gaps in guidance, and emerging issues to improve support at scale, and protect the quality and safety of OpenAI’s ad ecosystem. You’ll partner closely with Engineering, Product, Policy, Legal and Go To Market partners to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technol

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework. Your Success Profile What You Will Work On As a part of the Workforce Management team, you will drive our expansion into exciting new verticals, enriching our platform to attract and delight new customer segments. Your mission will be to architect and deliver foundational solutions in the Applicant Tracking Systems (ATS), Contractor, and Expenses domains. Our specialized product pods focus on building lean, high-impact features for customers who want a streamlined experience without the overhead of a bloated platform. You'll join the expenses pod in Toronto and help build the platform that handles expense submissions, approvals, and reimbursements for Justworks customers. Working alongside 3-4 senior engineers, you'll contribute to our migration from Ruby to Go, build AI-powered features, 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 Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Backend Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Extensive experience in object oriented programming, ideally in GoLang or Python Experience in backend software development of distributed systems and concurrency Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family bui

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. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Senior Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! The Integrations Platform team mission is to power the world’s largest trust automation ecosystem, enabling any person or agent to build, connect, and automate trust seamlessly. We own Vanta’s integration ecosystem, which currently includes over 400 integrations across Cloud Providers (AWS, Azure, GCP), Identity Providers, Mobile Device Management (MDM), and Human Resources Information System (HRIS). We are focused on developing the Integration Platform. This includes creating shared primitives for authentication, lifecycle, observability, and publishing to ensure all integrations are built on the same fou

We’re looking for an Associate Legal Counsel, Commercial and Privacy to contribute in developing a world class privacy program at Hootsuite and supporting on sales and other commercial matters. As part of our Privacy, Compliance & Customer Assurance team, you'll be helping translating complex global privacy laws into practical advice for business stakeholders and helping the Commercial Legal team drive deals across the line. This is a remote-first role and is open to applicants located in provinces and states where we are set up to hire. In this role, you will report to the Senior Legal Counsel, Privacy, AI & Compliance. Please include a cover letter when applying. WHAT YOU’LL DO: Provide frontline privacy support to business stakeholders throughout the organization (e.g., product development, sales, marketing, people, etc.) Draft privacy and other legal policies, notices and guidance Support our Customer Assurance function (which provides security and privacy sales support) and efficiently respond to customer data protection and privacy questions Draft, review, and negotiate commercial and data protection agreements, including, data processing agreements, NDAs, SaaS agreements, and vendor agreements Collaborate with key stakeholders to implement and maintain key privacy initiatives (e.g., improvements to our data retention / deletion policies, PIAs, data inventories, vendor controls, data subject requests) Collaborate with key business stakeholders to identify privacy risks and implement business minded solutions Support the implementation and maintenance of Privacy and Customer Assurance operations tools and processes in collaboration with the team and other stakeholders. Provide business oriented and practical legal guidance and support on a wide range of topics, including commercial contracts (with a focus on SaaS contracts), data protection, and procurement. Build and maintain positive relationships with

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors Nextdoor's Client Partner team is a diverse, driven, and strategic group of sales professionals focused on connecting brands with our community of neighbors through our growing portfolio of advertising solutions. The team culture mirrors our broader business, relying on trusted relationships, collaboration, and a shared commitment to delivering value for both advertisers and neighbors. We're a purpose-driven company looking for curious, customer-focused sales professionals who are passionate about helping businesses grow, solving complex marketing challenges, and building a culture of belonging. At Nextdoor, we operate in an AI-first environment. We value people who thoughtfully integrate AI into their daily work—not simply to automate tasks, but to improve decision making, deepen customer insights, and enhance execution. We look for candidates who combine AI curiosity with strong human judgment and accountability for the final outcome. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As a Client Partner, you'll play a critical role in driving growth across Nextdoor's San Francisco and greater West Coast markets. You'll own a strategic territory across the regio

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 vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As an Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Own the analytical integrity of safety data at Lyft. Set the definitions, inclusion criteria, and reconciliation logic behind every stated figure. Serve as the primary data liaison to external data auditors, ensuring clarity, consistency, and quality of safety data used in external reporting. Maintain documentation standards that ensure continuity across reporting cycles and compliance with reporting requirements. Run the publication cycle end to end: definitions freeze, data lock, QA, leadership review, sign-off. Catch definitional drift before it reaches a published number. Serve as the analytics counterpart to Business, Legal, Policy, and Communications on Safety data. Move safety reporting from volume counts to diagnosis: which categories are growing, where reported incidence diverges from ac

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As a Solutions Engineer, you are the technical specialist supporting the New Business and Account Management teams. Your goal is to help customers understand the practical value of Trustpilot’s platform. You are responsible for executing technical demonstrations, validating product fit, and ensuring that prospects have the technical confidence to convert. You bridge the gap between technical features and customer requirements to drive consistent commercial results What you'll be doing: Technical Discovery: Support Account Executives in uncovering customer needs and existing system environments. Product Demonstrations: Deliver tailored demos and presentations that articulate Trustpilot’s value, flexibility, and ROI. Solution Delivery: Configure and present standard solutions that address specific customer pain points and business goals. Proof-of-Concepts: Manage pilot programs to validate functional requirements and technical impact before signing. Technical Enablement: Act as a trusted advisor throughout the sales cycle — answering technical questions and resolving blockers. Cross-Functional Collaboration: Work closely with Product, Engineering, and Implementation teams to ensure solution integrity and smooth handover. Documentation & Knowledge Transfer: Maintain accurate documentation for proposed solutions and integration requirements. Feedback Loop: Capture recurring customer feedback and insights to inform product Who you are: Proven experience in a technical customer-facing role, such as Sales Engineering, Technical Support, or Implementation. Proficiency in web technologies, including APIs, JavaScript, and standard SaaS integratio