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CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and architecture Develop and deliver code across the full stack, driving engineering excellence by defining to best practices in testing, documentation and observability Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you’re great at: 3+ years of backend software development experience in Java Working with cloud-based application development, and being fluent in at least a few of: Cloud service providers like AWS Containerization technologies like Docker and Kubernetes Collaboration, integration, and deployment tools like Github, Argo, and Jenkins Arti

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Python / Postgres / Snowflake / dbt AWS SageMaker and MLflow What you'll do: Own and drive the foundational work of a ML system at CLEAR Design, build and deploy ML models for various applications, such as document and image processing, fraud detection. Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Expertise in best practices for feature enginee

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: SQL / Python / Looker / Snowflake / dbt What you'll do: Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner Build processes supporting data transformation, data structures, metadata, dependency and workload management Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization) Develop and implement data analytics models Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 4+ years of data engineering experience Working with cloud-based application development, and be fluent in at least a few of: Cloud services providers like AWS Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc Big data tools like Spark, Ka

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The SMB sales team is a core part of Plaid’s mission to unlock financial freedom for everyone. We believe that by empowering small and medium-sized businesses, we contribute directly to creating a more inclusive and accessible financial ecosystem. Our team is dedicated to building meaningful relationships with our clients, providing innovative solutions that drive growth, and ensuring that Plaid's products enable businesses to thrive. We work collaboratively across teams to meet ambitious revenue goals, all while fostering a culture of continuous learning and development to align with Plaid's vision of financial accessibility and empowerment. As a Sales Manager, you will lead a team of Account Executives, driving them toward achieving ambitious revenue targets. You will focus on developing talent within your team, fostering a high-performance culture, and ensuring each team member has the resources they need to succeed. You will leverage your deep understanding of transactional and strategic sales cycles to guide your team through new customer acquisitions and account management in a hyper-growth environment. Responsibilities Lead, coach, and develop a team of SMB Account Executives to consistently

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Regional People Partner, Employee Relations Lead serves as the centralized employee relations partner for our Airport Operations team, with direct, hands-on support for one region. In this role, you're the consistent thread ensuring employee relations issues are handled the same way, every time, no matter where they happen. You're the person leaders lean on to make good calls, and the person team members know is invested in their success. This role puts you in the middle of it all — maintaining oversight across the entire fleet while coaching station leaders, resolving employee relations issues with consistency and fairness across the field, and building an exceptional team member experience that helps CLEAR thrive. What you'll do: Be the go-to People Partner for Operations leaders in your region - the person they call when something's tricky, not just when something's already broken Coach and sharpen station leaders and managers - through training, real feedback, recognition that means something, and just showing up when it counts Own employee and labor relations across your stations: run investigations, dig into root causes, and land on outcomes that are fair and consistent, working closely with Legal along the way Turn employee data, survey results, and what you're hearing on the ground into recommendations leaders can actually act on Partner across People and Operations on the bigger initiatives: onboarding, process fixes, and making sure People practices run the same way at every station Lead timely, thorough, and object

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are looking for a visionary, customer-obsessed and technology-focused product lead with expertise in mobile app development. In this role, you will be instrumental in shaping the future of CLEAR’s mobile app experience, delivering impactful solutions that drive user satisfaction and business growth moving CLEAR’s mobile app from a collection of features into an intelligent, trusted travel companion that helps members prepare, navigate, and recover throughout their journey. You will build a mobile App experience that is the most helpful digital layer of the travel day and be accountable to driving adoption. You will connect CLEAR’s identity capabilities, real-time travel context, airport operations, member relationships, and partner-enabled services into experiences that are personalized, proactive, and genuinely useful before, during, and after travel. This includes helping members understand airport conditions, find the right path through the airport, discover food and lounge options, and access relevant CLEAR and partner services in the moments that matter. What you'll do: Establish CLEAR’s Mobile app strategic vision and product roadmap in alignment with enterprise goals and user needs, converting a multi-year vision into prioritized product investments, structured sequencing, and core metrics like member retention and app engagement. Transform the app into an intelligent travel companion that guides members through preparation, real-time navigation, food ordering, lounge discovery and access, and any disruptions. Collaborat

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a Senior Manager of Industrial Engineering to join CLEAR's Central Operations team. This role is the quantitative backbone of our Experience & Operations Design function — owning the data-driven design standards, labor models, and capacity planning that determine how CLEAR's physical operation is structured and staffed. You will be the analytical engine behind lane design decisions, engineered labor standards, and demand forecasts, ensuring the operation is designed to deliver a consistently excellent member experience efficiently at scale. What you'll do: Develop and own engineered labor standards and staffing models across CLEAR’s physical experiences, including Verifier, Greeter, eGate, Concierge, TSA PreCheck, Enrollment, Sports, and new programs, serving as the operations source of truth for labor and headcount inputs Define physical operating requirements and sizing standards across lane configurations, verification and enrollment experiences, hardware placement, and queue management; lead checkpoint design for new and existing airport locations Lead demand forecasting and capacity planning across CLEAR experiences, modeling throughput, staffing requirements, operating hours, and operational impact for new programs, launches, surge periods, and events Drive operational efficiency through time studies, process analysis, and labor optimization, identifying and developing opportunities to improve productivity, capacity, and the Member experience across the network Partner cross-functionally with Operations,

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The VP, Performance Marketing will build and scale CLEAR’s customer acquisition and retention strategy for our business, owning performance across paid media, search and emerging discovery, web, CRM and lifecycle, and strategic partnerships. As AI reshapes how travelers discover, evaluate, and purchase products, you’ll define the next generation of CLEAR’s performance marketing playbook – reaching travelers long before they arrive at the airport and turning them into long-term Members. What you'll do: Own CLEAR’s performance marketing strategy and investment portfolio across paid media, search, web, CRM and lifecycle, and emerging channels – allocating resources based on incrementality, customer economics, and measurable business impact. Build the next generation of traveler discovery for CLEAR across traditional search, AI assistants, communities, travel media, and emerging platforms; establish how we measure and grow CLEAR’s visibility, consideration, and recommendation as consumer behavior evolves. Own the Member lifecycle from acquisition through renewal and winback, building personalized journeys, offers, and experiences that increase engagement, retention, and adoption of CLEAR’s growing portfolio of travel products and services. Grow CLEAR’s strategic travel partnerships, including credit card, airline, and travel partners, while developing new acquisition opportunities across travel media networks and other first-party ecosystems that reach consumers throughout their journey. Build a rigorous performance and experimentati

#Team Nextdoor Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet your Future Neighbors Nextdoor Account Managers are a diverse, driven, and strategic group of client services and salespeople focused on connecting brands with our community of neighbors through our growing portfolio of advertising products. The team culture mirrors the larger business focus, relying on building trusted relationships both internally as well as with our partners. The team drives results for our brand partners while creating neighbor value. We're a purpose-driven company and we're recruiting like-minded client services professionals who are as passionate about customer value as they are professional growth, and building a culture of belonging. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Nextdoor’s Account Management team helps advertisers by connecting them with our hyper-local community of neighbors across the United States through our native a

The pay range per hour is $30.75- $31.75. Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT THE STORES EXECUTIVE LEADERSHIP Experience firsthand what it’s like to lead a retail team within a Target store. This internship is a paid 40 hr /week, hands-on training program to develop and prepare you for store leadership. As a Stores Executive Intern, you will get </sp

Datadog is seeking an Employment Counsel to join our growing global Employment Legal team. In this role, you will serve as a trusted legal advisor to the People team, business leaders, and cross-functional partners on a broad range of employment law matters impacting our workforce and culture. While your primary focus will be supporting our U.S. operations, you will also contribute to global initiatives and projects as the company continues to scale. This role offers the opportunity to influence strategic people decisions while partnering across a fast-paced, collaborative technology organization. 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: Advise the People team and business leaders on a broad range of U.S. employment law matters, including recruiting, hiring, performance management, accommodations, leaves of absence, employee relations, investigations, compensation, terminations, restrictive covenants, and wage and hour compliance. Draft, review, and provide legal guidance on employment-related documents, including offer letters, contractor agreements, separation agreements, and employment policies. Partner cross-functionally with Legal, People, and business stakeholders to develop compliant employment practices and support strategic company initiatives. Provide employment law support throughout mergers, acquisitions, and post-close integration activities. Assess legal risk, recommend practical business solutions, and support decision-making on complex workforce matters. Monitor changes in employment laws and regulations and help implement policies and processes that promote ongoing compliance. Who You Are: J.D. from an accredited law school and an active member in good standing of a U.S. state bar (New York preferred). At least 4 years of experien

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a People Operations Generalist to join our growing People team. You'll touch the employee lifecycle end-to-end — from offer acceptance through offboarding — while helping to build the processes and documentation that let our People function scale with the business. This is a great fit for a highly organized, systems-oriented people person who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. What you’ll do Own and continuously improve the new hire onboarding experience, ensuring employees are set up for success and internal tasks are tracked and completed on time. Serve as a first point of contact for employee questions across the full HR spectrum, triaging and routing more complex issues to the right People team member or external partner. Maintain and improve self-service resources (FAQs, Not

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Sales Strategy & Operations team, our mission is to power sustainable revenue growth for Pinterest with data-driven strategic insights and decision making, tight business management, and high-impact revenue operations. As we inform critical business decisions driving revenue growth, members of the team are highly visible to senior Sales Leadership at Pinterest and throughout the organization at large. What you'll do: Reporting to the Senior Director of Sales Strategy & Operations for North America Enterprise Sales, and in close partnership with senior North America Enterprise Sales leadership for Tech, Telco, and Entertainment (T3E), you will develop and bring to life data-driven strategies to accelerate growth in this critical business segment. In this role, you will: Partner with T3E Enterprise sales leadership to proactive

We are seeking a highly skilled and experienced Senior Accounts Receivable Analyst to join our Revenue Team. The ideal candidate will have a strong background in accounts receivable, exceptional analytical abilities, and a keen attention to detail. This role will be responsible for managing a book of business and addressing internal and external concerns via email and Zendesk. Partnering with internal stakeholders such as Customer Success, Revenue and Sales, you will assist in resolving Billing disputes. Senior Accounts Receivable Analysts have the opportunity to grow their careers in Finance and continue contributing to Datadog team success. 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: Manage the accounts receivable collections process for assigned book of business Analyze customer payment patterns and aging reports to identify trends and potential issues Collaborate with internal teams to resolve billing discrepancies and disputes in a timely manner Manage incoming billing inquiries and collectability concerns through Zendesk. Triage accordingly to Revenue, Sales, and Customer Success teams and to drive collections Develop and maintain effective relationships with clients to facilitate prompt payment and resolve outstanding balances Help customers understand their bills, which vary with usage and plan type Assist with external audit, compliance and special projects as necessary Provide guidance and mentorship to junior members of the accounts receivable team. Who You Are: Bachelor's degree in accounting or equivalent required 5+ years of full cycle Accounts Receivable / Billing Operations experience Proficiency in Microsoft Excel required Ability to work independently, with a strong work ethic, self-motivation and problem-solving skills Attent

Salary range - $250k - $350k | Equity - up to 0.5% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Research Engineer to own problems end to end across our models, inference service, and product. You won't just train a model and hand it off. You'll take it from training through benchmarking, into our inference stack, and work with the team to integrate it into our products. We're a small team that has shipped the current state of the art OCR model, Chandra. Our models collectively have 70k+ Github stars. Our tools are used internally at frontier AI labs like Anthropic, and Fortune 500 enterprises like Siemens. Our team focuses on training small, efficient models that outperform much larger LLMs on domain-specific tasks (like OCR, structured extraction, tables). We move fast, prioritize practical results, and build tools that are open, reproducible, and built to last. You'll test hypotheses quickly, iterate on results, and balance experimental rigor with shipping to customers. Day to day: A typical project might look like: identify a gap in extraction quality on long documents, train and benchmark a new model, optimize it for inference, and work with the team to ship it to users. Concretely: Train and evaluate models: Train task-