In Business Risk Manager Vice President New York in Canada

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for infrastructure engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow. We currently have openings on: Asynchronous Serving: The Asynchronous Serving team is scaling critical systems used by Airtable’s most essential and up-and-coming product features, especially AI features. Upcoming projects include refactoring our background task queue to track its tasks in DynamoDB, adding quality of service to the job queue, and revamping a streaming service to handle 10x scale while being more resilient. Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as Overhauling our network stack and service discovery, to simplify service setup and strengthen security Region level disaster recovery, and bringing up compute platform from 0->1 in a new region Building custom Kubernetes operators for reliably managing some of our most critical workloads Developer Platform : The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows - from build and test cycles to production deployments—and foster a best-in-class developer experience. Join us if you’re passionate about creating high-lever

You love turning real business problems into working AI solutions — and you’re not afraid to roll up your sleeves to ship them. In this role, you’ll lead Diligent’s internal AI Solutions function , a small, high-impact team that is embedding AI and GenA I into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and Product & Engineering. You’ll set the AI vision and roadmap for internal tools, architect solutions, and still build hands-on — from prototypes and reference implementations through to production-grade integrations . You’ll own how AI shows up inside ERP, CRM, BI and core IT platforms, and you’ll be accountable for making those solutions reliable, secure, compliant, and measurably valuable for the business. If you enjoy being a “player-coach” who can move seamlessly between executive conversations and deep technical reviews, this role gives you the scope, visibility, and impact to shape how a global SaaS leader uses AI to run smarter and faster. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach, and grow a high-performing team of AI Solutions Architects and Engineers, setting clear goals and building the capabilities the business needs as AI demand scales. Define and own the strategy, vision, and roadmap for internal AI solutions, translating business priorities into a focused portfolio of AI and platform initiatives. Design and deliver end-to-end AI/GenAI solutions — from ideation and prototyping through production deployment, monitoring, and continuous improvement. Embed AI capabilities (such as RAG, copilots, agents, summarization, and classification) into core business applications including ERP, CRM, BI, and other enterprise systems in a robust, maintainable way. &nbsp

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives Own the execution of our data labeling operations for strategic projects Give regular progress updates to Scale’s executive team Work on some of the most impactful problems at the company Ideally, you’d have: Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). 2+ years of experience leading a team, developing product or operational processes, or as a SWE. Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). Entrepreneurial experience and mindset - you are excited about building things from scratch Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted e

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! Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup. Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months. As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contrib

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. Join the Okta Device Access (ODA) team as an outcome-driven and customer-focused Senior Product Manager. Okta Device Access unifies access management from any device to all applications to minimize modern security risks and improve business efficiency. As a Senior Product Manager for Okta Device Access, you will own key product areas and contribute to the continued evolution of ODA to meet customer and business needs. You will work closely with senior product leaders, engineering, and design to define how enterprise organizations secure and manage identity on Windows endpoints - from Okta-joined device enrollment to passwordless authentication and migration from legacy AD environments.. If you’re passionate about improving customer security and engaging with a vibrant community, we’re looking for you. Your primary responsibilities in these areas will include: Define and execute the roadmap for the Okta Device Access for Windows Own the enterprise migration story from Active Directory and Azure AD/Entra ID to Okta-managed device identities Drive the Okta-joined device experience end-to-end: from enrollment and provisioning to passwordless flows and partner integrations. Collaborate with engineering, design and research teams to define and document user stories and use-cases to guide product development. Conduct research and analysis to identify customer needs and pain points, and use this information to inform innovation, product decisions and prioriti

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a BDR Manager, you will lead a team of BDRs (Outbound Business Development Reps) that focus on generating meetings, opportunities, and pipeline in net-new and customer accounts for our US Enterprise market segment. You will join a team of highly motivated, energetic sales professionals that take pride in landing new customers, uncovering additional use cases within our current install base, generating pipeline, and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train, manage a team of Business Development Representatives Develop and execute career development plans for growth within the Box Sales organization Set and maintain a high-performing culture and morale through coaching and

The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership. Key Responsibilities Commission & Incentive Processing Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision. Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles. Systems & Platform Administration Manage Sigma’s compensation platform with the broader team. Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems. Plan Governance & Communication Support administration of quota rules, crediting structures, and payout policies. Prepare clear plan documentation, and communication for GTM teams. Cross-Functional Collaboration Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy. Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort. Qualifications: 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs. Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools. Familiarity with consumption-based models and usage-driven GTM strategies. Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset. Effective communication skills with the ability to clearly translate complex compensation logic for both technical and non-technical audiences. Bo

The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership. Key Responsibilities Commission & Incentive Processing Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision. Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles. Systems & Platform Administration Manage Sigma’s compensation platform with the broader team. Lead system updates, user access coordination and UAT Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems. Plan Governance & Communication Support administration of quota rules, crediting structures, and payout policies. Prepare clear plan documentation, and communication for GTM teams. Cross-Functional Collaboration Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy. Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort. Qualifications: 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs. Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools. Familiarity with consumption-based models and usage-driven GTM strategies. Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset. Effective communication skills with the ability to clearly translate complex compensation lo

About the Team: Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure. What You'll Do: Own systems end to end — design them, build them, and support them in production. Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you. Sit with the people who use what you build, and turn what you learn there into a system. Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them. Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it. Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring. Spot the platform work nobody has asked for yet, make the case for it, and build it. Your Background: 5+ years of professional experience building and operating production systems, from design through production ownership. A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against. Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement. You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke. Expe

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 are seeking a proactive, customer-focused IT Support Specialist based in Toronto to anchor our regional IT operations. In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. Key Responsibilities Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. Manage end-to-

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 AirSupport helps Airbnb employees stay productive wherever and however they work. Within AirSupport, Executive Support provides a dedicated, high-touch technology experience for Airbnb’s senior leaders and their Executive Business Partners. The team combines deep technical expertise, proactive support, and strong cross-functional partnership across office, remote, travel, event, and other approved environments. Executive Support owns the executive technology experience, working closely with engineering, security, infrastructure, AV, workplace, and other technology partners who own the underlying technologies. The Difference You Will Make As a Senior Executive IT Support Engineer, you will be one of the most senior technical individual contributors within AirSupport and a trusted technology partner to Airbnb’s executive population. You will combine hands-on technical expertise with strong judgment, proactive planning, and cross-functional leadership. You will own complex and sensitive executive technology issues through resolution, anticipate risks before they become disruptions, and lead improvements that make the executive experience more reliable and supportable. Your impact will extend beyond the issues you personally resolve. You will identify patterns in what Executive Support is seeing, connect them to broader employee technology priorities, develop recommendations, and influence the teams responsible for the underlying technology. You will help shape Executive Support technical direction, represent the support perspective in major technology decisions, and identify opportuniti

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days work from home. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role The Senior GTM Strategy & Planning Analyst will play a key role in supporting go-to-market (GTM) strategy through sales forecasting, churn forecasting, revenue analytics, and capacity planning across the GTM teams. This role will partner closely with Sales, Marketing, Customer Success, and Finance to align GTM initiatives with company growth objectives and contribute to executive-level insights for board presentations. Responsibilities GTM Board Materials: Support preparation of sales forecasting, churn forecasting, and revenue insight materials for executive and board review, ensuring data accuracy and alignment with company strategy. Executive Reporting: Help develop executive-level reporting materials, including presentations that translate complex data into clear, actionable insights. Forecasting: Build and maintain sales forecasting models in partnership with Sales Leadership, modeling pipeline generation, deal velocity, close rates, and other key metrics. Build predictive models to forecast customer churn, leveraging historical data and customer behavior insights to inform retention and renewal strategies. GTM Capacity Planning: Build and maintain capacity models to help ensure GTM t

About the Team Merchant Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. We work across some of DoorDash’s most important merchant and marketplace priorities, building the measurement, insights, and decision frameworks that improve outcomes for merchants and drive company impact. About the Role We’re hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into Director, Data Science on our Merchant Analytics team in our Analytics organization. You’re excited about this opportunity because you will… Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash’s most important product, business, and GTM priorities. Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics. Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes. Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment. Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time. We’re excited