Partner Business Manager Power Elite in Canada

Sigma is transforming how businesses allow customers to build apps, agents and dashboards on top of governed enterprise data. Hence, we are growing the design team and looking for designers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of designers with a shared mission to make data easily accessible for all users. We're looking for a Senior Product Designer / Design Engineer who sits at the intersection of interaction design and AI engineering: someone who uses AI to ship faster, builds the skills and evals that make AI more effective, and invents new interaction paradigms for how people work alongside intelligent systems. This isn't a traditional design role. Yes you'll be using Figma, but also writing code with AI, training it, evaluating it, and questioning every assumption about what a "UI" can be when the interface itself reasons. Please note this is a 4 day on-site role in our San Francisco office. What You'll Do Start with AI, stay with AI. Use LLMs to clarify scope, draft specs, surface edge cases, and align your team before committing to a direction, use AI coding tools to build and iterate on the solution itself, and merge code to prod when fits. Prototype in code. Build working interfaces with Cursor and Claude Code, guiding structure, behavior, interaction, motion and UX quality while AI handles implementation. Partner directly with engineering to decide what moves into the product and what stays as a validated spike. Bring it to production. Fix small interaction and refinement issues directly on prod code. Design new AI interaction paradigms for conversational interfaces. Invent and validate novel patterns for how users converse with, direct, and trust AI systems - especially in data contexts where precision and confidence matter. Write evals, skills, and help on tools. Build the scaffolding that makes AI reliabl

Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. Training: Develop and deliver IP and data licensing trainin

Head of Enterprise GTM Strategy & Operations Reports to VP, Enterprise Sales · SF or NY Reporting to the VP of Enterprise Sales, this role owns both halves of Scale AI’s enterprise revenue engine: the strategy that determines where we play and how we win, and the operating system - people, process, and systems - that makes that strategy executable, measurable, and repeatable. On the strategy side, you set the analytical foundation for enterprise growth: segment and account prioritization, coverage and territory design, pricing and packaging inputs, and the diagnostic work that explains why the funnel behaves the way it does. On the operations side, you own the RevOps stack, forecasting, compensation design, sales enablement, and the operating cadences that convert strategy into predictable quarterly execution. The ideal candidate is equally comfortable building a segmentation model from a blank page and running a Monday morning pipeline review. You will lead an established team, with the Head of Sales Enablement and the RevOps Manager as direct reports. Your first job is to raise the ceiling on what that team delivers: sharper analysis, tighter operating rhythm, and enablement that measurably shortens ramp and lifts win rates. This is a senior, highly visible role partnering with Enterprise Sales leadership, Finance, Marketing, Product, and Solutions Engineering, with regular exposure to the executive team and board materials. STRATEGY Define which segments, industries, and accounts Scale prioritizes, and build the analytical case behind those choices Build and maintain the market sizing, segmentation, and account-tiering models that drive coverage decisions and investment trade-offs Lead hypothesis-driven analyses of the enterprise funnel - win/loss patterns, conversion drivers, deal economics, coverage gaps - and translate findings into specific changes to how we sell Partner with Finance and Product on pricing, packaging, and deal-structure strateg

Senior Designer, Portfolio At Kraft Heinz Design, we believe creativity has the power to make ideas unforgettable. We're looking for a Senior Designer to join our Portfolio Team and help shape the visual expression of seasonal campaigns across some of the world's most iconic brands. This role sits at the intersection of brand, retail, and shopper experience. Working alongside the Kitchen, Creative Directors, Art Directors, Copywriters, and Strategists, you'll develop the visual systems that bring big ideas to life—from campaign identities and brand guidelines to immersive in-store experiences. This role reports directly to the Head of Design at Kraft Heinz. This is more than a design execution role. We're looking for a Sr. Designer who thinks strategically, crafts beautifully, and understands how a single creative idea can come to life seamlessly across retail, shopper marketing, and every consumer touchpoint. What You'll Do Lead the design development of seasonal “Portfolio” campaigns across Kraft Heinz brands. Create campaign visual identities, design systems, and comprehensive brand guidelines that enable ideas to scale consistently across retail and marketing channels. Design engaging retail experiences, including point-of-sale materials, merchandising, displays, environmental graphics, packaging extensions, and promotional assets. Partner closely with Creative Directors, Art Directors, Copywriters, Strategists, Brand Teams, and Retail Marketing to transform big creative ideas into exceptional visual experiences. Build flexible design toolkits that can be adapted across multiple retailers, brands, and seasonal campaigns while maintaining creative consistency. Ensure every execution balances world-class creative with retail realities, shopper behavior, production requirements, and speed to market. Champion design craft through exceptional typography, composition, color, and attention to detail. Present design work with confidence, clearly articulating the strateg

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling. Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams. Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events. Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sus

Role Overview We are seeking a Staff Simulation Engineer to build an end-to-end aerial autonomy simulation stack at DoorDash Labs. This is a highly technical, hands-on leadership role focused on defining and implementing the simulation architecture that underpins autonomy development, validation, CI/CD testing, and pilot training. You will operate as the technical authority for simulation: owning core architecture decisions, developing key components yourself, and setting engineering standards. You will build and mentor a small, high-caliber simulation team while remaining deeply involved in implementation and system design. This role is ideal for someone who has built simulation systems from first principles, understands simulator internals deeply, and is excited to create a world-class platform from scratch. Key Responsibilities Architect and implement an end-to-end simulation stack for aerial autonomy at DoorDash Labs.. Develop high-fidelity simulation capabilities, including: Flight dynamics modeling Contact modeling and constraint handling Sensor and perception simulation Autonomy software-in-the-loop (SITL) integration Design and implement scalable simulation infrastructure to support: Regression testing in CI/CD pipelines Continuous validation of flight autonomy and autopilot software stack Mission-level testing and scenario generation Build cloud-deployed simulation systems to enable large-scale parallel testing and pilot training. Partner closely with autonomy, controls, and aircraft teams to ensure simulation fidelity and validation alignment. Establish technical direction, architecture standards, and performance benchmarks for simulation. Mentor and grow a small team of simulation engineers while remaining deeply hands-on. Required Qualifications Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field. 10+ years of experience in robotics or physics-based simulation. Deep expe

About the Team The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement. Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day. About the Role We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant experiences. This is a highly cross-functional leadership role — you’ll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale. You’ll lead a team of talented ML engineers who are building real AI products delivered to merchants’ fingertips, helping them become more successful on DoorDash. You’re excited about this opportunity because you will… Lead and grow a team of exceptional AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem. Define a multi-year strategy and execute the AI roadmap across key Mx pillars — Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation. Partner with product and operations to translate merchant pain points into scalable AI-powered solutions. Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement. Drive innovation in multimodal AI

About the Team Design Program Managers make DoorDash's Design Studio run better. As owner of the Logistics pillar within Design Operations, you're accountable for one of our most important operating outcomes: maximizing the bandwidth of the team. About the Role You'll find where ICs and managers lose time, fragmented workflows, manual processes, meeting overload, unclear rhythms, and you'll define and build the tools and systems that fix it. That might mean shipping a new internal tool, automating a recurring workflow, redesigning how scheduling or reviews work, or establishing a better operating cadence. You own the full loop: diagnose the problem, design the system, build the tool, measure whether it worked. You're excited about this opportunity because you will… Own the Logistics outcome, maximize the bandwidth of the team. ICs and managers have more usable time. Meeting load decreases. The team can focus on high-value work. Identify the biggest sources of operational drag across the Studio and turn them into a prioritized roadmap of tools and process fixes. Define and build the tools, automations, and workflows that reduce manual coordination, including for scheduling, budgets, vendor management, and event logistics. Redesign how the Studio operates: reviews, planning cadences, rhythms for both ICs and managers, information flows, whatever determines how fast teams can move. Measure whether your systems work, usable time for ICs and managers, meeting load, adoption, hours of manual work eliminated, and iterate. Turn recurring requests into scalable solutions. The second time a problem shows up, build the thing that stops a third. Own scheduling, budget, vendor, and logistics programs as a builder, not a permanent executor, your job is to make them need less manual effort every quarter. Partner with (and, as scope grows, help develop) other DPMs on the Logistics pod. We're excited about you because you have… 5+ years in operations, program management, or bu

About the Team DoorDash is looking for an Engineering Manager to lead our Discovery Experience team, which owns the Homepage - DoorDash’s front door. It’s the first screen millions of consumers see every day, and since every session starts there, it’s the highest-leverage surface in the consumer funnel: a more personalized recommendation, a faster render, or a cleaner layout can move the metrics the whole company watches. The Homepage spans restaurants, grocery, and emerging verticals across iOS, Android, and Web. We’re rebuilding it around LLM-generated recommendations, shifting discovery from static, rules-based feeds to generative, intent-driven experiences that respond to real-time signals in the moment. About the Role You will lead and grow a team of product-focused full stack engineers, owning both the product and technical direction for the discovery surface - deciding where discovery goes next and how it’s built. You’ll set the roadmap and drive execution alongside Product, Design, Data Science, and ML/Recommendation Platform partners, and you’ll own the quality, velocity, and consumer impact your team ships. It’s a role with real ownership and the room to grow both the product and the team behind it. You’re excited about this opportunity because you will… Own the Homepage end to end, the highest-traffic surface at DoorDash and where every consumer session begins Turn Homepage bets into company-level outcomes: real lift in conversion and order rate for millions of consumers Define discovery quality for DoorDash: getting the right store, restaurant, or item in front of the right consumer at the right moment Ship LLM-gen recommendations and intent-aware discovery that route consumers to the right experience across food, grocery, retail, and emerging verticals Partner across Product, Design, Data Science, and ML/Recommendation Platform teams to shape the discovery roadmap and ship the experiences behind it Build an inclusive, high-performing team by coaching en

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

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 team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our web developers work across our different product areas — Activation, Brokerage, Crypto, and Core Experience — building the rich client-side web application that powers the next generation of Robinhood, creating marketing websites, and developing the infrastructure that enables all web developers to work efficiently on the platform. As a Software Developer Intern, Web, you'll own meaningful work end-to-end — from initial scoping through production. You'll be embedded on a real team, partnering directly with experienced developers to architect features, build developer tools, and ship software that millions of people use every day. This is a summer where you'll leave with real impact to show for it! This role is based in our Toronto, ON office, 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 Partner with a dedicated mentor who will guide you from onboarding through shipping, deepening your understanding of our tech stack a

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 role At Okta, we believe AI will fundamentally transform how design, research, and product development happen. We are looking for a Senior Design Operations Program Manager, Agentic Design to lead the operationalization and enablement of internal AI agents, plug-ins, and automated workflows across our Design team — reimaging how designers create in the AI era through internal AI agents. In this role, you will bridge the gap between AI tooling capabilities and practical design ops execution. You will partner closely with design, product management and design systems to govern, evaluate, deploy, and scale AI-driven design capabilities — making our 60+ person design org dramatically faster, more consistent, and highly innovative. This is a tactical, execution-focused builder role for an operations leader who is deeply curious about AI tools, understands modern UX workflows, and excels at change management, team enablement, and operationalizing new frameworks. What you'll do AI & Agentic Design Enablement Serve as the operational connective tissue driving AI adoption, evaluation, and workflow integration across Product Design, UX Research, and Content Design. Manage the intake, evaluation, and approval process for design plug-ins, Model Context Protocol (MCP) integrations, and generative AI tools (e.g., custom content design assistants, design-to-code agents). Partner with internal engineering teams to operationalize, ship, and drive adopt

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 looking for a detail-driven Legal Billing Specialist to join our growing Legal Operations Team. In this role, you will own the day-to-day of outside counsel and vendor billing across our matter management and eBilling platforms—reviewing invoices, enforcing our Outside Counsel Guidelines and negotiated fee arrangements, and keeping our legal spend accurate, compliant, and on time. The ideal candidate is tech-savvy, numbers-oriented, and thrives under recurring billing deadlines, bringing a collaborative and transparent approach to partnering with attorneys, law firms, and Finance. This is a billing-focused role that also supports the broader Legal Operations function. Responsibilities: Prepare, review, and process outside counsel and vendor invoices; audit prebills and invoices, and flag rate errors, block-billing, math discrepancies, and billing-guideline violations before approval. Manage the day-to-day operation of the eBilling and matter management platform (Onit), including invoice intake, LEDES processing, rejections and appeals, accruals, and international / AP invoice processing. Enforce compliance with Lyft’s Outside Counsel Guidelines (OCG) and negotiated fee and alternative fee arrangements (AFAs); process write-offs, write-downs, and adjustments with clear documentation and audit trail. Manage timekeeper and billing-rate submissions and approvals; maintain accurate rate cards, matter budgets, and phase/task coding across the portfolio. Serve as the primary point of contact for billing inquiries and disputes; resolve discrepancies promptly by partnering with attorneys, law firms, and support staff. Partner closely with the Legal Operations eBilling Lead and with Finance / Accounts Payable on accruals, month- and quarter-end close, reconciliation, and payment status. Onboard outside

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 team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Margin Team is a high-leverage product engineering team building sophisticated investing and trading experiences for our most active users. Driving 100s of millions in revenue, the team provides the critical tools customers need to successfully manage their investments. Our primary offering –margin– has scaled to over $15B in usage and remains one of the fastest-growing revenue streams at Robinhood. Our team works closely with product, design, data, and partner engineering teams to make a complex financial product feel clear, intuitive, and trustworthy. As a Web Developer on this team, you would help build and scale customer-facing web experiences for Robinhood Crypto, contributing to products that support international users from onboarding through trading and funding. You would partner closely with product, design, and cross-functional engineering teams to ship high-quality features, support the launch of the web app in new markets, and help create safe, seamless crypto experiences as the platform expands. This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person w