Senior Solution Consultant in Canada

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 connects people to transportation to change the way we live and get around our communities. Lyft is North America’s leader in micromobility. We provide the software that powers BIXI, and we own and/or operate bikeshare in New York (Citi Bike), Chicago (Divvy), San Francisco (Bay Wheels), Portland (Biketown), Boston (BlueBikes), and DC (Capital Bikeshare). Our software is used in over 45 markets to power bike and scooter systems, increasing our reach beyond the markets we operate directly. We are looking for a passionate Senior Product Designer to join our Montreal office to work on Lyft’s micromobility Operations Technology team. As a member of the Operations Technology team, you’ll be responsible for evolving the platform that drives the global on-the-ground operations of our business. You’ll be designing features that are used in warehouses, vans, & on-the-ground to make our transportation systems some of the most reliable in the world. You’ll confront complex technical challenges & advocate for experiences that delight our operators and promote efficiency. Our Montreal office developed the first automated bikes-share system in North America and continues to work on the platform today that provides state-of-the-art electric bikes and scooters for tens of millions of rides per year. As a Senior Product Designer at Lyft, you will be involved at every step of product development, from brainstorming broad ideas to ensuring design quality through launch. Using your full range of interaction, visual, and product thinking skills. As a product designer on the Lyft Urban Solutions team you will own the design of features within the core rider experience for our bike and scooter riders, within the Lyft app and our market specific apps. In a lot of ways, we function as a startup,

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. On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You'll collaborate with highly cross-functional teams such as Product, Design, Data science, and Analytics, as well as other organizations like Driver, Partners, and Marketplace, to deliver on that promise. As the Senior Engineering Manager for the Rider Loyalty, Partnerships, and Rider Pay (PLP) group, you will lead multiple managers and Staff ICs with end-to-end teams, consisting of iOS, Android, and Server, to make Riders into Members and to build a robust network of partners that our Riders love. It is your responsibility to sweat the details by being customer-obsessed with specific Rider needs and to build innovative product solutions to address them. Responsibilities: Set the technical vision and team strategy for the PLP group and communicate that downwards, with peers, and upwards with ELT Coach and guide an organization of managers and engineers in their people and technical development Collaborate with cross-functional stakeholders to deliver high business impact Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or relevant work experience 3+ years of experience managing engineering teams of 20+ members, including teams across iOS, Android, and Server platforms, as well as experience in managing managers Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure Passion for building scalable and extensible solutions that enable others and ensure a high-quality product Experience launching and supporting consumer-facing products at scale Strong technica

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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We have an ambitious goal to strengthen our international presence by growing a life-changing product, and your efforts will play an essential role in our collective success. Growth teams are at the heart of our products and decision-making to drive business growth. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who can build & own innovative applications, passionate about solving problems with distributed computing in building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment. As a Senior Software Engineer, with your technical expertise you will build and own innovative applications with a desire to achieve exceptional design fidelity, usability, accessibility, and performance. You will be responsible for sound technical execution of projects through hands-on development, quality-assurance, and prototyping. These projects will require close collaboration with our product managers, user interface designers, brand producers, data scientists, and engineering teams. You’ll be managing multiple exciting projects at once, so being able to juggle these initiatives is key! We’re also counting on you to be a champion for best engineering practices, guiding engineers, designers, and management along the way. We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. We’re looking for a candidate who thrives in tackling complex, ambiguous challenges and can

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Mobile Core team develops frameworks and tools that empower engineering teams across Twitch to build compelling mobile experiences. In this role, you will directly contribute to creating and refining core features, such as Video Playback, while architecting strategic solutions for internal developers. Twitch is evolving its mobile strategy from native-first to a hybrid approach that leverages React in WebViews alongside native iOS capabilities. You'll work on high-impact initiatives including our hybrid web-to-mobile platform, performance optimization at scale, automated testing infrastructure, and developer tooling that accelerates velocity across the organization. You will report to the Senior Engineering Manager for Mobile Core iOS and can work from either our Seattle, Irvine, San Francisco or our New York City offices. You Will: Own and drive the technical strategy for foundational iOS components, native video playback infrastructure, and hybrid (React in WebView) frameworks Architect and build robust WebView infrastructure and bridges that enable seamless integration between React-based web content and native iOS functionality Lead performance optimization efforts for platform components used by millions of daily active users, establishing benchmarks and best practices Prov

About the Team As one of DoorDash's core operations teams, Customer Experience ensures that when issues arise across the platform, there is a reliable and effective support system in place. Our team designs, manages, and continuously improves DoorDash's global support network, with the goal of delivering a high-quality and consistent customer experience. This role sits within the Safety Customer Experience team, focused on the most critical and high-risk incidents on the platform. The team owns some of the most sensitive customer interactions at DoorDash, where thoughtful operational and product decisions directly improve customer trust and platform safety. About the Role You'll operate at the intersection of Product, Operations, and Customer Experience to improve how DoorDash prevents, identifies, and responds to the most critical safety incidents on the platform. You'll partner closely with Product, Policy, Analytics, and Operations to design scalable solutions that deliver accurate, timely support during customers' highest-stakes moments. This role requires a detail-oriented operator who can navigate complex problem spaces, design scalable processes, and execute with precision in a fast-paced environment. You’ll be expected to take ownership of ambiguous, high-stakes problems and translate them into structured, actionable solutions. You’re excited about this opportunity because you will… Drive Safety Strategy – Partner with cross-functional teams to identify and execute initiatives that improve how DoorDash prevents, identifies, and responds to safety incidents. Own End-to-End Experience – Design and optimize the full lifecycle of safety incident handling, including reporting, workflows, support execution, and tooling. Drive Data-Driven Decisions – Leverage data and case-level insights to identify root causes, measure performance, and prioritize opportunities to improve the safety customer experience. Influence Cross-Functionally – Collaborate with Product, Engin

Scale AI is seeking a highly motivated Senior Accountant to join our growing accounting team and assist in preparing day to day corporate accounting operations, supporting the month end close process, and helping to implement systems and processes that will support Scale as we continue to grow. You will also gain exposure to working with our international entities as we continue our expansion globally, working on some of the highest value aspects of the busienss. The ideal candidate thrives in a high-growth start-up, is detail-oriented, and has excellent interpersonal and communication skills. Additionally, the candidate has demonstrated the ability to build scalable cross-functional relationships through systems and process implementation. We hope you will join our team! You Will: Prepare journal entries and day to day corporate accounting activities, support the month end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant Build or enhance balance sheet account reconciliation workpaper including reviewing and performing some clean-up of historical reconciliations and related balances Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package Prepare documents supporting internal and external audits and ensure the successful completion of those audits Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions to support the growth of the Company Identify and drive process improvements to gain efficiencies and reduce close timeline Develop, maintain and improve internal controls which relate to assigned areas Ideally You Have: Bachelor’s degree in Accounting; CPA or in the process of working towards one is preferred. 3+ years of relevant accounting experience; Combination of public accounting and industry experience preferred. Strong knowledge of U.S. GAAP. Ex

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Digital Twin Platform team at Instacart is on a mission to understand exactly what is on store shelves at any given moment. Inventory intelligence is foundational to some of Instacart's most critical products — from search and logistics to enterprise AI solutions for grocers of all sizes. Our team owns the end-to-end data supply chain, spanning ingestion and integration of partner data sources, collection of in-store inventory observations, model development, serving, and product integrations across the Instacart ecosystem. We're a growing team sitting at the intersection of physical retail and cutting-edge technology, working closely with Caper, Inventory Intelligence, and Fulfillment to bring real-time shelf intelligence to life. If you're curious about what that looks like in practice, you can read more about our work here: Instacart Enterprise AI S

Flight Dynamics Engineer (Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS), Space Missions Systems seeks a Flight Dynamics Engineer (Senior) in Seal Beach, California , with potential options to work from El Segundo, California; Aurora or Colorado Springs, Colorado; Herndon or Leesburg, Virginia; or Kennedy Space Center, Florida, based on program needs. You will join a diverse team and apply your skills to support architecture, requirements, and design, creating innovative solutions to technical challenges. Our multi-disciplinary team focuses on rapid prototyping to demonstrate a host of next-generation, mission-focused technologies, products, and services for a variety of customers. We work all facets of engineering from technology investment, concept development, proposal writing, architecture, requirements, and design, build, integration, test, and demonstration. Position Responsibilities: Contribute to an impactful team immersed in innovative development projects Lead development of vital architecture requirements and design Ensure modern, best practices across programs and product lines for development and integration activities. Anticipate, communicate, and recommend actions and risk mitigations to technical teams and program leadership. Contribute to strategy, product roadmaps, and technology plans for end-to-end mission integration, space operations, and ground architecture. This position is expected to be 100% onsite. The selected candidate will be required to work on site at the listed locations. This position requires an active U.S. Top Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been activ

The Opportunity This is an exciting time at Enigma. We’re on the cusp of releasing our next generation of small business intelligence products built on years of learnings in the space. We are seeking an experienced Data Scientist to join our Entity Resolution team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive capabilities of our data platform, influencing key business decisions for our customers. The Role Data is at the core of Enigma’s product, which makes data science the beating heart of what we ship. As a Data Scientist on the Entity Resolution Team, you will work in a cross-functional team alongside other data scientists, engineers, and business stakeholders. You will own problems end to end–from raw source data, through models and scalable pipelines, to the customer interface. Your impact will be measured by the contributions you make with your team to improve the accuracy of our data and the value of our product to our customers. What You’ll Do Translate customer goals into working solutions, using large-scale data transformation, sound statistics, and high-quality code. Most of our work is in Databricks (both Spark SQL + PySpark), supported by statistical tooling, and by ML/AI where the problem calls for it. Set a high standard for rigorous analysis and model development, grounded in sound statistical practice, so that results are high-quality and reproducible. Treat data as a reflection of the real world, and develop repeatable strategies for validating results against ground truth. Develop techniques to detect gaps in our data, find the source, and close them in a way that improves the product. Apply a data-focused, first-principles approach to problem solving. We value people who bias toward simple and elegant solutions, but who can implement state-of-the-art models and techniques when the problem requires it What Makes This Role Exciting? Technical challenge : Enigma

The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems. What You'll Do Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across index

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex’s mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As an Underwriting Senior Analyst, your goal is to ensure our underwriting processes run smoothly and efficiently for our cards products. You'll exercise judgment within established underwriting frameworks to resolve moderately complex cases involving multiple contributing factors. This is a role that requires strong communication, time management, and teamwork. You will implement solutions to uplift processes and engage cross-fun

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth Business Operations Dasher & Logistics Customer Experience & Integrity Merchant, Ads & Sales New Verticals International Data Science About the Role As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts on how to use more advanced methods and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Report aga

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Team Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails. About the Role We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations. This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies. Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces. Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements. Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations. Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership. Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes. Build hands-on solutions—SQL analyses, scripts, dashboards, LLM eval workflows, evidenc