About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. Available Location - Lisbon, Portugal About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. What you will do as a Digital Customer Engineer The Digital Customer Engineer (DCE) is a trusted technical advisor and a core contributor to Cloudflare's technical go-to-market strategy. Working as part of a pooled team, you will support Small and Medium Business (SMB) and Digital Native Business (DNB) customers across the complete customer lifecycle - from initial technical discovery and validation through onboarding, adoption. You will bridge technical strategy and business value by helping customers design fit-for-purpose Cloudflare architectures, realize measurable outcomes, and confidently expand their use of the Cloudflare platform. Sitting within the GTM organization and reporting to a Customer Engineering leader, you will operate against shared team and territory goals while using AI-assisted workflows, standardization, and automation to serve customers efficiently and consistently, at scale. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical discovery, capture business requirements, and map customer infrastructure to fit-for-purpose Cloudflare architectures and solutions. Define the scope, success criteria, and evaluation plans for Proof of Concepts (PoCs) and other technical validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare addresses specific performance, security, reliability, and developer-platform challenges. Customer Adoption & Value Realization: Guide customers through onboarding and adoption by developing structured success plans and architectural guidance tailored to their goals and environments. Serve as a trusted technical contact and help customers apply configuration best practices across use cases such as DNS migrations, Zero Trust rollouts, and WAF optimization. Partner with Account Executives and other Cloudflare teams to support customer health, manage risk, and identify opportunities for expansion. Commercial Accountability & Expansion: Contribute to shared team and territory targets tied to new business, customer adoption, retention, and account growth. Help customers deepen their use of the Cloudflare platform and identify relevant cross-sell and upsell opportunities based on customer goals and product usage. Contribute to customer value reviews that translate Cloudflare capabilities and adoption into measurable business outcomes. Trusted Advisory: Act as a trusted technical advisor throughout the complete customer lifecycle, building strong relationships with technical and business stakeholders. Provide guidance on architecture, security posture, developer platforms, AI control layers, and adoption strategy. Identify technical risks or adoption barriers early and recommend practical steps to improve customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner with Enablement and other internal teams to design, build, and maintain reusable technical resources. Create and deliver demonstrations, workshops, architectural guidance, and technical documentation that improve consistency and accelerate customer adoption. Share knowledge and reusable assets with the wider team to continuously raise the organization's technical baseline. Desired Skills and Qualifications Education: An undergraduate or graduate degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Experience: Up to 1–5 years of professional experience in a customer-facing technical role, such as Sales Engineering, technical consulting, technical support, or a related field. Architectural Mindset: Ability to understand, whiteboard, and clearly explain network, security, application, or developer-platform architectures. Consultative Skills: Ability to understand customer needs, ask effective discovery questions, and translate technical capabilities into relevant customer and business outcomes. Commercial Mindset: An understanding of customer buying decisions, enterprise or technology sales cycles, and how technical value supports adoption, retention, and growth. Communication: Strong presentation and stakeholder-management skills, with the ability to explain technical concepts clearly to both hands-on practitioners and business decision-makers. Portfolio Management: Ability to prioritize work, manage multiple concurrent customer engagements, and collaborate effectively within a pooled team environment. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates should demonstrate knowledge or experience in at least three of the following areas: Internet Fundamentals: Understanding of how the Internet works, including TCP/IP, DNS, HTTP(S), SSL/TLS, APIs, and core networking concepts. Security: Familiarity with areas such as Web Application Firewalls, Bot Management, firewalls, rate limiting, Zero Trust, and SASE. Performance: Understanding of website and application performance concepts, including latency, caching, content delivery, and modern web protocols. AI Proficiency: Familiarity with prompt engineering, AI-assisted research, scripting or log analysis, LLM usage, and workflow automation. Coding and Scripting: Experience with at least one language such as Python, JavaScript, Bash, Lua, or Go. Developer Platform Fluency: Familiarity with APIs, SDKs, webhooks, cloud-native applications, infrastructure as code, CI/CD, or observability. Curiosity, initiative, and a demonstrated ability to learn new technologies quickly. Languages: Native-like fluency, both written & spoken, in English AND (Swedish OR Russian) Strongly Preferred Qualifications (The "Good-to-Haves") Experience creating reusable technical assets, such as demonstrations, code samples, technical documentation, reference architectures, or customer workshops. Familiarity with cloud providers such as AWS, Microsoft Azure, or Google Cloud. Exposure to modern application architectures, including serverless computing, containers, microservices, and APIs. Knowledge of common application-security risks and mitigation strategies. Familiarity with LLM orchestration, Retrieval-Augmented Generation architectures, or model-access controls. Experience working with SMB or Digital Native Business customers. Travel This role may require travel up to 20% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation ● For Portugal based hires: Estimated annual salary is between €43,000 - €67,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
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Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join Twilio as a Program Manager, Carrier Operations & Governance — a tech-forward business analyst and program manager within a brand-new function built from the ground up to reshape how Twilio manages, governs, and optimizes its global telecom carrier and wholesale supplier ecosystem. About the job This isn't a role that inherits an existing playbook — it's a role that writes one. Twilio is building a highly visible, cross-functional operations & governance team dedicated to optimizing its telecom carrier and wholesale supplier ecosystem. Reporting into leadership that maintains regular cadences with Twilio's CEO, CFO, CRO, and Audit Committee, you will serve as the primary owner of critical end-to-end improvements spanning multiple areas of the business, and build internal operating models that unlock new levels of operational maturity and rigor. In this role, you will bring together, understand, and implement the policies, processes, systems, tools, and controls necessary to build a world-class operating environment. You will own the creation and stand-up of the team operating model, cadences, and runbooks while taking direct ownership of the team's internal Run-the-Business (RTB) engine. If you thrive in high-visibility environments, love designing systems from first principles, and want to own program execution end-to-end, this opportunity is built for you. Responsibilities In this role, you will lead program execution across four core pillars: Cross-Functional Governance & Leadership Drive Visible Governance Programs: Serve as the core Program Manager for a highly visible, cross-functional governance initiative spanning multiple areas of the business - including building and operationalizing programs from diagnosis, design, implementation, and change management Maintain Executive Visibility: Package and present operational narratives, risks, and performance metrics to cross-functional leadership, feeding into C-suite and Audit Committee reviews. Implement Core Infrastructure: Lead end-to-end process improvements across carrier operations — understanding, synthesizing, and deploying cohesive policies, workflows, systems/tools, and data-driven controls. Operating Model, Enablement & Team Infrastructure Build Team Foundations: Design and stand up the new Carrier Operations & Governance operating model, operational cadences, and internal team structures. Author Runbooks & Standards: Author, maintain, and roll out standard operational runbooks, supply policies, and Rules of Engagement (ROEs) for internal stakeholders and carrier partners. Design Enablement & Change Management: Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model. Insights & Reporting Business Intelligence: Leverage quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound insights. Data & Reporting Quality: Execute analytical requests from IRSG, Legal, Finance, and GTM stakeholders, delivering accurate data pulls, ad-hoc analyses, and structured summaries. Perform data quality checks and validation to ensure accuracy and consistency across reporting pipelines. Design Enablement & Change Management: Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model. Drive Team RTB Engine: Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability. Facilitate Operational Rhythms: Facilitate regular operational forums, including team OKR tracking, and deal approval workflows. Run-the-Business (RTB) Ownership Drive Team RTB Engine: Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability. Facilitate Operational Rhythms: Facilitate regular operational forums, including team OKR tracking, and deal approval workflows. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years of experience in management consulting or as a Program Manager or Chief of Staff in telecom, RevOps, or strategy and operations. Proven track record leading highly visible, cross-functional programs across business, technical, legal, and financial stakeholders. Demonstrated expertise driving end-to-end process improvements by integrating policies, business processes, IT/systems tools, and operational controls. Direct experience standing up operating models, team cadences, and operational documentation (runbooks, frameworks, ROEs). Proven track record in designing enablement content and driving organizational change. Experience driving Run-the-Business (RTB) cadences, OKR tracking, and operational reporting. Strong capability in process mapping, business case writing, and translating complex operational needs into IT system specs. Sharp written and verbal communication skills with experience presenting to executive leadership. Strong analytical proficiency using data tools (Excel/Google Sheets, SQL, or Looker) to measure performance and policy compliance. Team player who thrives in a fast-paced environment. Desired: Background in management consulting, high-growth tech, or global telecom environments. Six Sigma or formal Program / Process Management / Prosci Change Management certification. Operational experience within commercial Deal Desks, supplier QBR management, or revenue assurance. Domain knowledge of A2P SMS, international voice/messaging, carrier billing, or AIT/IRSF fraud frameworks. Familiarity with workflow and dashboarding tools (Airtable, Jira, Confluence) and operational automation (Python, Coefficient, AI tooling). Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $ 90,800.00 - $ 113,500.00 Target Bonus Percentage 12.5% The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 1, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're hiring an IT Systems Engineer to help build, secure, and improve the systems our employees rely on every day, with a particular focus on identity and access management (IAM) and mobile device management (MDM). You'll share ownership with our IT and Security engineers to improve how we manage identities, application access, and devices. This is a hands-on role that combines technical configuration, security judgment, and automation. We're looking for someone who uses AI effectively to troubleshoot, build, and improve IT workflows. Experience managing IT systems as code using Terraform is a strong plus. This role requires in-office anchor days on Monday, Tuesday, and Friday from one of our offices (SF, NY, or ATX). For location-specific details, please connect with our recruiting team. What You Will Do Configure and improve Okta, including application integrations, single sign-on (SSO), multi-factor authentication (MFA), groups, access policies, and automated provisioning. Build reliable onboarding, role-change, and offboarding workflows that keep employee access appropriate and up to date. Configure and maintain MDM solutions, including device enrollment, configuration profiles, software deployment, patching, encryption, and compliance controls. Partner with Security to define and implement least-privilege access, device security standards, access reviews, and device-based access policies. Design and maintain scripts, API integrations, and automation across Okta, MDM, Google Workspace, Slack, and IT service management systems. Help expand management of IT systems through code, including opportunities to use Terraform for Okta configuration and other supported resources. Use AI tools to accelerate troubleshooting, scripting, documentation, and workflow improvements while validating outputs and protecting company data. Serve as an escalation point for complex identity, device, and systems issues; address root causes and prevent recurring problems. Support AWS identity and access configurations as part of the broader IT environment. Maintain clear documentation for configurations, access policies, integrations, and operational procedures. Identify opportunities to simplify the IT environment, reduce technical debt, and improve SaaS lifecycle processes. About You Strong hands-on IT systems engineering experience, with deep expertise in either IAM or MDM and solid working knowledge of the other. Experience administering Okta and integrating applications using technologies such as SAML, OIDC, and SCIM. Experience configuring and operating an MDM platform such as Jamf, Kandji/Iru, Intune, or an equivalent. Strong understanding of security principles, including least privilege, authentication and authorization, endpoint hardening, and secure handling of credentials and company data. Proficiency with scripting languages such as Python or Bash, APIs, and workflow automation tools. Demonstrated experience using AI to solve technical problems and improve IT operations, with the judgment to review generated code and validate proposed changes. Strong troubleshooting skills and the ability to follow problems across identity, devices, applications, and integrations. Comfortable sharing ownership, collaborating with Security and other teams, and explaining technical decisions clearly. Able to take projects from identifying a problem through implementation, documentation, and ongoing maintenance. A Strong Plus Experience using Terraform to manage Okta or other IT systems as code, including version-controlled configurations, code review, repeatable deployments, and configuration drift management. Success in This Role Looks Like More reliable identity lifecycle workflows, with timely provisioning, access changes, and deprovisioning. Better device enrollment, patching, and compliance through consistent MDM configurations and automation. Clearer access policies and repeatable access reviews developed in partnership with Security. Less manual work through maintainable automation and effective use of AI. More consistent, reviewable system configurations through expanded use of code where appropriate. Fewer recurring identity and device issues through root-cause fixes. Reliable documentation that helps the team operate, troubleshoot, and improve shared systems. Benefits Competitive salary and meaningful equity Comprehensive health, dental, and vision coverage Generous paid time off and parental leave Professional development stipend Daily lunch and commuter benefits (SF office) Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000.00 - $288,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma's platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a member of the Operations & Strategy team within Customer Operations & Support (COS), you'll own and evolve the systems that power our support organization. This role is ideal for a well-rounded systems admin with deep Zendesk expertise and experience with Decagon, who enjoys working across many tools and can jump in wherever the team needs support. You'll help keep our support systems stable, well-designed, and adaptable, while partnering across teams to implement changes that improve both customer and Specialist experience. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own and optimize the COS Zendesk environment, including workflows, business rules, automations, routing, permissions, and overall system health Lead improvements to ticket classification, queue design, backlog management, and skills-based routing to help Support scale Administer Decagon and its integration with Zendesk, including handoffs, escalations, and routing of AI-escalated tickets Serve as a hands-on admin across our broader support tooling, including Sprinklr, Gainsight, MaestroQA, Assembled, among others Evaluate and expand agent-facing AI capabilities, including Zendesk Copilot and other agent assist opportunities Own the lifecycle of systems changes, including requirements, design, testing, rollout, communication, and post-launch monitoring Create and maintain documentation across systems, including playbooks, operating procedures, change logs, and architecture diagrams We'd love to hear from you if you have: 3+ years of experience as a Zendesk administrator or Business Systems Analyst supporting a customer or product support organization Deep hands-on experience with Zendesk workflows, routing, automations, business rules, queue architecture, and channel configuration, plus hands-on experience configuring Decagon and integrating it with Zendesk Experience administering or supporting multiple tools across a support ecosystem, and the ability to learn new systems quickly Experience leading systems changes independently or in partnership with Engineering, IT, Security, or Analytics Strong communication skills, ownership, and sound judgment, with the ability to work effectively with technical and non-technical stakeholders while maintaining a high bar for quality, documentation, and execution While it's not required, it's an added plus if you also have: Zendesk Administrator certification Experience configuring skills-based routing, intelligent routing, or classification Experience with Zendesk Copilot, agent assist, or other AI-powered support tooling Admin experience with Sprinklr, Gainsight, MaestroQA, Assembled, or Salesforce Experience with APIs, webhooks, custom Zendesk apps, or scripting, plus SQL or analytics tools to evaluate workflow and tooling performance At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $105,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.
As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as an individual contributor, whether in an industry research lab, startup, academic environment, or another research setting You have extensive hands-on experience designing and implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements You set technical direction through influence rather than authority, and you have mentored other researchers or engineers and elevated the quality of work around you You want to stay deeply hands-on in research for the long term, and you can communicate complex research findings effectively across technical and non-technical audiences Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $320,000 — $400,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
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As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability Own research problems end to end, from framing the question through experimentation, model development, and evaluation Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling You have driven technically ambitious research at meaningful scale as an individual contributor, whether in an industry research lab, startup, academic environment, or another research setting You have extensive hands-on experience designing, training, and evaluating large-scale deep learning models (such as large language models), with experience in multimodal or non-text data considered a strong plus You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements You set technical direction through influence rather than authority, and you have mentored other researchers or engineers and elevated the quality of work around you You want to stay deeply hands-on in research for the long term, and you can communicate complex research findings effectively across technical and non-technical audiences Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $320,000 — $400,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
The Opportunity: Datadog is building the Compensation function to scale with and support one of the fastest growing public companies in tech. We are looking for a creative, data-driven Compensation Specialist to join our team. If you are a problem solver with strong analytical prowess, excellent communication skills, and a genuine passion for data, this role is for you. As a Compensation Specialist, you will contribute to the development and implementation of our compensation approach. You will collaborate with team members to develop analytics tools, automate legacy processes, and help build the future of our compensation strategy. The ideal candidate is enthusiastic, hardworking, and thrives on building business focused solutions through data. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Evolve Compensation Strategy: Help us redefine and evolve how we believe about base, variable, and equity compensation structures Advanced Analytics: Apply quantitative and qualitative analysis to identify problems, develop hypotheses, and recommend data-backed solutions for compensation programs and processes Data Visualization & Modeling: Build and develop dynamic dashboards and analytic models to provide actionable business insights and interpret market or internal trends Drive Automation: Streamline and automate monthly, quarterly, and annual compensation reporting and analysis using modern data tools and AI workflows Market Benchmarking: Conduct global market benchmarking, assess peer groups, and ensure consistent market pricing practices while maintaining internal equity. Storytelling with Data: Provide sophisticated compensation recommendations, clearly building data driven insights while tying it back to overall comp strategy Who You Are: Bachelor's degree, preferably in a quantitative-focused major (e.g., Finance, Data Analytics, Statistics, Economics) A minimum of 3+ years of experience in business analytics, finance or a related field in a fast-growing environment Advanced proficiency in Excel (complex formulas, VBA, Power Query) Exceptional written and verbal communication skills with the ability to translate complex data into clear, actionable insights Unmatched attention to detail; ensuring numbers are accurate & delivered on time to key partners High learning agility, flexibility, and quantitative problem-solving skills Bonus Points: Consulting, Project Management or Analytics experience Experience building interactive / replicable dashboards using Tableau, Power BI, or other advanced analytic platforms Familiarity with Python, R, or SQL for data manipulation and automating repetitive workflows. Strong planning, organizational, and project management skills Demonstrated experience developing and implementing scalable, repeatable processes backed by detailed ongoing documentation Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous career development opportunities Product training to develop understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $115,000—$155,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $116,000 — $155,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
The Team: At Datadog, People Operations is more than just human resources—it's a data-driven team dedicated to constantly improving the way we hire, develop, and support our most valuable asset: our people. Our People team are strategic problem solvers who work closely with leadership and employees to ensure that Datadog keeps scaling smoothly and remains a great place to work. The Opportunity: As a Compensation Program Manager, you will combine compensation expertise, program management, analytics, systems thinking, and stakeholder management to help build and scale our compensation programs. You will own critical compensation processes from strategy and design through execution, communications, enablement, and continuous improvement. This role is ideal for someone who enjoys both strategic problem solving and hands-on program execution, can translate complex compensation concepts into simple experiences for managers and employees, and thrives in a highly cross-functional environment. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Develop and execute scalable compensation programs and processes, including compensation and equity cycles, governance, timelines, and tools, in partnership with People, Finance, HRIS, Payroll, Legal, and business leaders Build dynamic compensation models and scenario analyses to support budgeting, workforce planning, and compensation design for cash/equity Provide operational analysis, reporting, and insights related to compensation programs, trends, market data, and internal equity Oversee compensation functionality and data in our systems and partner with HRIS and Analytics to continually enhance compensation and total rewards tooling Lead communications and change management for compensation programs and processes, including FAQs, manager resources, training, and enablement Partner cross-functionally to drive complex compensation initiatives from design through implementation and continuously improve processes and employee experience Who You Are: Five to seven years or more, of compensation or related experience A flexible, low-ego approach to building and scaling the function, comfortable operating across high-level strategic program design and hands-on analytics, reporting, data cleanup, and operational execution Experience managing compensation programs and annual cycles, including equity programs and/or other variable compensation Strong analytical rigor and experience building dynamic models and scenario analyses Experience implementing and using compensation benchmarking data, market pricing methodologies, reporting, and compensation technology A good understanding of RSUs and other equity offerings Strong business acumen and the ability to translate complex compensation concepts into digestible information for leaders and employees A "systems" thinker oriented towards process improvement, scalability, and efficiency Advanced capabilities in Excel Strong knowledge of Workday functionality and reporting Exceptional cross-functional communication and stakeholder management skills, with experience developing communications, training, and change-management materials Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits & Growth: Generous and competitive global and US benefits New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $143,000 — $190,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
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: The Principal, Strategic Finance & Analytics, Incubations role will partner closely with business, product, and analytics leaders across Luxe, Monthly Stays, and Airbnb for Business. This role will directly support the investment decisions behind Airbnb's fastest growing emerging businesses. The Difference You Will Make: As a Principal in Strategic Finance & Analytics supporting Luxe, Monthly Stays, and Airbnb for Business, you will be highly visible and partner with senior leaders across each business to accelerate their path to scale. You will become the subject matter expert on the economics of these businesses, including how demand and supply are acquired, what they cost, and what they return. You will bring a strong point of view on where we should be investing more, where we should be investing differently, and what we need to prove before we invest at all. This role requires a strong commercial mindset, with the ability to size opportunities, evaluate returns, and translate performance and funnel insight into clear business implications and strategic recommendations for senior leadership. Because these are incubation businesses, the analytical foundation often does not yet exist, so you will build it. The ideal candidate relishes the opportunity to roll up their sleeves, and is a self-starter comfortable embracing the adventure of a fast-paced, ambiguous environment. A Typical Day: Investment Decision Support: Build the business cases behind major investment decisions across Luxe, Monthly Stays, and Airbnb for Business. Size the opportunity, model the returns, and frame the tradeoffs so leadership can decide where to place bets and how large those bets should be Performance Management: Own end to end performance management for the incubation portfolio, including forecasting, goal and OKR setting, and executive reporting. Build scalable reporting frameworks that connect early signals to revenue and long term value Full Funnel Analytics: Track and analyze full funnel performance across demand and supply for each business. Identify where the funnel leaks, why, and what it is worth to fix Unit Economics and Scalability: Establish and pressure test the unit economics of each business. Determine which parts of the model improve with scale, which do not, and what needs to be true for these businesses to become material contributors Capital Allocation Across the Portfolio: Assess how investment is allocated across the incubation businesses relative to their potential. Recommend reallocation where returns and readiness diverge from where capital is going today Presentations to Leadership: Synthesize complex data into clear narratives and recommendations for senior leadership. Influence cross functional stakeholders to drive alignment on high impact investment and operating decisions Your Expertise: 10+ years of relevant experience. Ideally, you have demonstrated relevant experience in an analytical role such as strategic finance, strategy/management consulting, investment banking, financial planning and analysis, business operations, or private equity Advanced SQL proficiency with the ability to independently extract, analyze, and synthesize data Superb financial modeling skills and extensive experience conducting quantitative and qualitative financial analysis Strong strategic thinking and problem-solving skills, with the ability to translate data into decisions Excellent communication skills, with experience presenting to senior leadership Proven ability to influence cross-functional stakeholders in a fast-paced, ambiguous environment High ownership mindset with strong judgment and attention to detail Experience evaluating growth strategies, ROI/efficiency returns, and the scalability of new business models is a big plus This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Equal Employment Opportunity : Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $168,000 — $206,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is beloved by developers for the simplicity of our APIs, the thoroughness of our documentation, and our focus on developer experience. The Technical Solutions Engineering (TSE) team is the glue that supports our developer-users and champions developer experience as being central to the overall experience of our users. TSE interacts directly with developer-users more than any other team at Stripe, so your role will have a significant impact on what Stripe is known for and values most. When we do our job well, developers all over the world are able to smoothly launch and grow their businesses on Stripe, whether they're integrating payments for the first time or building complex financial systems. What you'll do TSEs understand the fundamentals of programming incredibly well and eagerly jump in and familiarize themselves with others' code. You will do a wide variety of things, including explaining technical concepts about Stripe's products, build and debug integrations with developers, and produce/improve guides that help our users solve particular problems to be successful with Stripe. You will interact with developers of all skill levels through a variety of mediums, enabling them to be successful when using Stripe. Early on, current team members will devote a large amount of time to teaching you and helping you get to a level of comfort and expertise with Stripe, its services, and how we interact with users. Later, we'd love for you to take on this role with others on the team and Stripes broadly, as teaching is a great way to learn and to reinforce what you know. If you're someone who enjoys working with all kinds of code, is a fast researcher, a strong writer, and enthusiastic about helping others build mission-critical products with Stripe, we want to hear from you! Responsibilities Communicate with a number of external developers and aid them in building their applications against Stripe's infrastructure in a number of programming languages (including Java, Python, Ruby, PHP, Go, NodeJS, .NET, ReactJS, React Native, Swift, Objective-C, Kotlin, and Java for Android). Unblock external developers with their thorniest integration challenges through a variety of support channels including email, ticketing software, internal issue trackers, community platforms (like StackOverflow), and real-time chat software (like Slack and Discord) Develop and maintain internal and external documentation, examples, integration demos, and code-snippets that demonstrate usage patterns of the Stripe infrastructure. Identify points of friction developers encounter and collaborate with engineering teams to make Stripe products better. Participate in a number of extended engineering teams' regular planning sessions, design reviews, and development meetings. Develop and maintain a suite of internal support tooling for TSE and Stripe Support more broadly e.g. a retrieval augmented generation LLM-based Copilot tool or the Invoice Explainer Admin tool. Act as a developer advocate and educational resource internal to the organization by regularly assembling training for non-developers internal to the organization and responding in real-time to product integration questions. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements At least 4 years of full-stack software development experience, with a proven track record of building web or mobile applications that deliver high-quality user experiences Direct experience explaining technical concepts, and would be comfortable explaining how Stripe works to both technical and non-technical audiences Understands how to write good, clean code in multiple programming languages, as well as how to read code that might not be quite as well written Ability to help users during working hours in the region you are in. This may occasionally include providing weekend coverage for monitoring/supporting critical infrastructure, which TSEs are uniquely equipped to assist with given the team's knowledge around Stripe's products and active integrations. The team is largely remote, and we are very supportive of working arrangements that allow for family care and other needs to be met. Preferred qualifications Enjoys writing in a clear and quick manner General software engineering skills are important to us, as we understand that new languages and frameworks can be learned if you understand the concepts Experience teaching or coaching developers Comfort working with a great deal of autonomy and limited supervision Degree in Computer Science, Software/Computer Engineering, or a related analytical field of study
Who we are About the team The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products like defenses against AI token theft, free trial abuse, and programmatic attacks. What you'll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe's most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities Design, build, train, evaluate, deploy, and own ML models in production that detect fraud across Stripe's global payments network Design and build large-scale ML systems that operate on diverse and large scale data Experiment and iterate on ML models to achieve key business goals around data quality and accuracy Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliability Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions Mentor engineers and contribute to a strong ML engineering culture within the team Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 10+ years of industry experience building and shipping ML systems in production Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark Hands-on experience in designing, training, and evaluating machine learning models Hands-on experience in productionizing and deploying models at scale Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets Strong collaboration skills and the ability to work across teams and contribute to peers' success Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset Preferred qualifications MS or PhD degree in ML/AI or a related field (e.g., math, physics, statistics, computer science) Experience in fintech, open banking, or financial data domains Experience with NLP, LLMs, or text classification at scale Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data quality Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems Experience with deep learning architectures, including transformers
Who we are: About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability—from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough. The Security organization is dedicated to building and maintaining a secure financial infrastructure platform. By joining this team, you will be on the front lines, engineering solutions that protect the sensitive data and systems underpinning a huge portion of the world's economy. You will contribute to core security functions like threat detection and rapid incident response, building and scaling the platforms that manage vulnerabilities, and proactively performing offensive security assessments to identify weaknesses before they can be exploited. This is a chance to apply software engineering principles and new technologies such as AI to solve complex, high-stakes security challenges, ultimately ensuring that Stripe's mission to increase the GDP of the internet is achieved securely. What you'll do As a Security Engineer New Grad you will have the opportunity to work across various security disciplines and own projects from start to finish. Your work will focus on securing Stripe's complex environment by applying software engineering principles to security challenges. You will learn and apply the principles of secure-by-default design by working closely with product and infrastructure engineering teams. You'll develop a foundational understanding of various security domains, such as t hreat detection, incident response, vulnerability management, or offensive security. You'll learn to act as a security subject matter exper t , tailoring answers to both engineers and non-engineers. You'll contribute to the development of internal tools and automation to scale security efforts across Stripe. You will participate in threat modeling discussions, learning to balance security requirements with product advancement and user experience. Responsibilities Work on cross-functional projects, directly collaborating with other engineers Give meaningful feedback on code reviews and technical designs Contribute to our overall security posture by continuously improving security processes, tooling, and defenses. Develop a deep understanding of Stripe's security primitives, frameworks, and invariants. Provide actionable insights to help identify, prevent, detect, and respond to anomalous or potentially malicious activity. Who you are: We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements Currently enrolled in a Bachelor's or Master's program in Computer Science or related field (graduating by Summer 2026) Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, Python, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting) Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts Aptitude to think like an attacker and reason through different approaches to reducing security risk. Preferred qualifications Experience in code review practices, and an understanding of how to safely update production systems Familiarity with navigating and managing work in large code bases Prior experience or course work in cyber security, digital forensics, or incident response (e.g., through log analysis or capture-the-flag events). Familiarity with foundational security concepts such as the OWASP Top 10 web application vulnerabilities. Basic knowledge of SQL or experience analyzing medium to large data sets. Exposure to cloud computing platforms such as AWS, Azure, or Google Cloud Platform. An adversarial mindset, understanding the goals, behaviors, and TTPs (tactics, techniques, and procedures) of threat actors.