M And A Finance Integration Lead in Canada

About the Team The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash . You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You're excited about this opportunity because you will… Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world-class talent Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce We're excited about you because you have… B.S. or M.S. in Computer Science or equivalent. 10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code) in th

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are seeking a dedicated and enthusiastic candidate to provide exceptional Customer Service support to the Airbnb community as a CS Specialist, Premium Support. The ideal candidate is hospitable, analytical, and committed to delivering the highest standards of service. The Difference You Will Make: The Specialist, Premium Support functions on the front line interacting directly with both customers & internal stakeholders. As a CS Specialist, Premium Support, you will be responsible for providing end-to-end support to key members of our community, including but not limited to the Luxury segment. You will primarily take ownership of cases, ensuring complete resolution while fostering strong relationships with our users along the way. CS Specialist, Premium Support needs strong communication skills in English and French, problem-solving abilities, and customer service expertise. They should also be adaptable and responsive in our fast paced environment, sometimes under pressure, while remaining flexible, proactive, resourceful, efficient and demonstrating a high level of professionalism and confidentiality. As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs. A Typical Day: The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below m

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

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Core Data Platform organization owns all the infrastructure necessary to run an operationally efficient analytical data stack. About the Roles The Data Platform team spans data mobility frameworks, ingestion, infrastructure, tools, and governance. Together, they design and operate scalable compute and ingestion frameworks using technologies such as Spark, Flink, Kafka, Airflow, and modern lakehouse solutions, while also building abstractions and tools that simplify data workflows for engineers, analysts, and ML practitioners. In parallel, these teams establish strong data quality, cataloging, privacy, and compliance standards to ensure trust in analytics and regulatory adherence. As relatively high-impact teams, they offer engineers the opportunity to shape the roadmap, influence core platform decisions, and directly enable DoorDash’s business-critical insights and real-time personalization capabilities. You must be located in San Francisco, CA, Sunnyvale, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing business. Scale the analytical platform for the increasing amounts of data and use cases. You will bring your expertise in building and operating high scale systems with a focus on reliability, scalability and cost efficiency. Collaborate with stakeholders building solutions on top of the platform Foster a positive and supportive work culture, upleveling others. We're excited about you because you have… B.S., M.S., or PhD. in Computer Science or equivalent. 2+ years of industry experience at our I4 level, 5+ years of industry experience at our I5 level Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in th

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. JLL - Senior Engineering Operations Manager (M2) Transform at JLL as a Senior Engineering Operations Manager on a prominent Fortune 500 technology client account! You will lead the hard services delivery at our clients global corporate headquarters. Location: San Jose, CA 95134 Work Schedule: Onsite, M-F ~8:00 AM - 5:00 PM + on call expectation for emergencies Travel Requirements: splitting time between other buildings within a large corporate campus Reports to: Regional Facilities Manager - West Region Estimated base salary range: $175,000 - $200,500 + annual salary bonus What this job involves: The Senior Operations Manager – Engineering Operations is responsible for leading the Engineering Operations program across the clients HQ, including maintenance and repair operations, asset reliability, workforce performance, operational risk, financial management, and technical service delivery. This role provides senior leadership across a large, complex campus environment and works closely with client stakeholders, JLL teams, engineering personnel, vendors, and service partners to ensure reliable facility performance, high-quality maintenance services, protection of critical environments, and strong client satisfaction. What your day-to-day will look like: Pro

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

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 Airports team is part of a mission-critical endeavor that keeps travelers moving smoothly. As an engineer on our team, your role will be essential in making sure drivers and riders enjoy a dependable experience at airports. You'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to tackle the unique challenges of the travel and airports industry. Your responsibilities will also involve managing real-time communication with airports, ensuring our technology integrates seamlessly into their operations. Your skills will be the driving force behind enhancing the airport journey for millions. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience 2-5+ years of software engineering/production infrastructure industry experience Experience with Python, Go Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source project Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled M

Senior Program Manager (Level M) Company: The Boeing Company Boeing’s Defense, Space & Security (BDS) Experimental Systems Group (ESG) team, in Seal Beach , CA is seeking a Senior Program Manager (Level M) with demonstrated strong project management abilities and Agile software development experience to join our dynamic team. ESG is a rich portfolio of state-of-the-art space products, advanced small satellites, and multi-domain technology development efforts. One of our products, the X-37B Orbital Transfer Vehicle, is the world’s first fully autonomous reusable spaceplane. Our team works in a collaborative development environment while delivering new capabilities to customers rapidly and affordably. The selected candidate will serve as the program manager for a proprietary software development project within the Experimental Systems Group (ESG) portfolio. Position Responsibilities: Team Leadership : Manage, develop, and motivate programmatic team. Maintain team organization and staffing plan with clear roles, responsibilities, and authorities. Develop and maintain relationships with customers, suppliers, stakeholders, peers, partners, and management Program Performance – Develop, maintain, track, and update schedules and earned value baselines of program statement of work. Own program contractual responsibilities starting at delivery of incremental capability through sell off and verification. Implement Program Management Best Practices to track and measure performance to plan. Organize independent cost estimates to ensure cost realism, validating assumptions (or risk) for technology maturity, reuse, and/or cost-sharing. Build a dat

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer on our Geometry team, you will drive foundational algorithms for real-time 3D content creation and editing that power the Roblox platform. Working in a small, autonomous team, you will solve novel math computational problems and deliver immersive, expressive creative tools to millions of users. At this level, you are expected to own pod-level or team-level projects from inception to implementation, provide technical direction to junior collaborators, and contribute to the team’s long-term technical strategy. You Will: Own End-to-End Development: Lead complex, team-level projects through the full development lifecycle, from research and prototyping to production deployment and maintenance. Architect Robust Solutions: Develop efficient algorithms for geometry processing (e.g., convex decomposition, mesh partitioning, boolean operations) that support real-time simulation, collision detection, and performance requirements across all platforms. Mentor and Lead: Provide technical guidance and mentorship to junior engineers, fostering a culture of high standards, code quality, and collaborative architectural discussions. Solve Computational Problems: Tackle discrete m

About the Team DoorDash Labs is an independent team within DoorDash. We're hiring a backend software engineer to work at the intersection of software engineering and robotics to solve key business problems with elegant technical solutions. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role We’re looking for Backend Engineers to work on both Product and Product Platform based teams in DoorDash Labs. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. You're excited about this opportunity because you will... Design and implement backend services for IoT that integrates with core DoorDash data, focused on reliability, and future extensibility Create a well documented APIs for other departments to integrate with Improve performance, reliability, scalability and security for our backend systems Introduce tools and best practices to accelerate our development process Design and implement backend services for autonomous delivery system that integrate with core DoorDash data. We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 6+ years of industry experience as a software engineer Experience with backend for frontend architecture Ability to improve efficiency, scalability, and stability of multiple system resources Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL Experience with either Java or Kotlin Nice to Have Experience with

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Lead Industry Manager will manage the SMB Agency Sales Account Management business, responsible for revenue delivery and growth. They will lead a large vendor sales team in executing and operationalizing the strategy. What you’ll do: Drive retention and upsell across our 1K+ SMB agencies Retain and grow 7K+ managed advertisers Define the operational sales strategy by developing and standardizing operational systems to empower the SMB team to operate at scale Lead a high-performing team of sellers to deliver against quarterly revenue targets through effective planning, goal-setting, data analysis, and forecasting Manage relationship with Pinterest’s vendor partner Support team strategy for media planning, campaign management, media measurement and media channels (e-commerce, branding, formats and targeting) Motivate, m

Scale Labs, Research Scientist — Frontier Risk Evaluations As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities; Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems; Publish evaluation methodologies and write technical reports for policymakers. Ideally you’d have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes. A track record of published research in m

#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience m

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the role. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. What you’ll work on. Secure execution environments for agent-generated code Identity, authentication, and trust boundaries for agents Model routing and orchestration across different model types and environments Rate limiting, quotas, and resource management for agent workflows State management, memory, and filesystem abstractions for agents. In this role you will: Turn emerging M

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. Okta enables universal, secure access to technology for every user and organization. The Device Identity and Access team ensures that every endpoint interacting with corporate resources is trusted, healthy, and secure. Our pillar spans four domains: Device Identity, Device Authentication, Device Security Posture, and Endpoint AI Security. We are hiring a Senior Product Manager to drive our Zero Trust Authentication group. In this role, you will lead the core execution, performance, and deployment strategy for Okta’s foundational endpoint products. You will own the operational excellence of Okta Verify , FastPass , and Device Assurance , ensuring that our core passwordless authentication flows and device posture engines remain performant, secure, and incredibly easy for global enterprises to deploy at scale. This is a critical, high-impact role designed for a highly autonomous product manager. You will take on the tactical execution and smaller strategic investments for our endpoint authenticators, acting as the team's operational anchor so that our senior product leaders can continuously expand our strategic frontiers. What you will own You will bridge user experience and deep systems engineering to ensure our core authentication products scale reliably for millions of global users. Core Device Assurance Execution: Own the roadmap for our baseline security posture checks (such as OS version validation, disk encryption, and firewall status). You will m