Quality Inspector in New York

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 Staff Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Staff Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Java / Python / React / Typescript What Sets Staff Engineers Apart Staff Engineers at CLEAR operate beyond a single team. They influence technical strategy across multiple products, shape architectural direction, identify opportunities before they become problems, and drive alignment across organizations. They are trusted partners to Engineering and Product leadership, consistently delivering high-impact technical solutions while developing the engineers around them and raising the quality of execution across the organization. What you’ll do: Design, build, test, and deploy scalable full-stack applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and

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 collaborative, strategic, and execution-focused engineering leader to shape the digital experiences that millions of people have with CLEAR. As a Director of Engineering, you will lead multiple engineering teams responsible for building and scaling our consumer products across the CLEAR mobile app, website, digital enrollment experiences, marketing technology, and Concierge platform. You'll partner closely with Product, Design, Marketing, and business leaders to create intuitive, high-performing experiences that drive acquisition, engagement, conversion, and member satisfaction. The ideal candidate combines strong technical leadership with a deep understanding of consumer product development, building high-performing teams that move quickly while maintaining quality, reliability, and operational excellence. What You'll Do: Lead and grow multiple engineering teams responsible for CLEAR's consumer experiences across mobile, web, marketing technology, and Concierge products. Define and execute the technical strategy for customer-facing applications, ensuring scalable, reliable, and performant experiences that delight millions of members. Partner closely with Product, Design, Marketing, and Business stakeholders to prioritize roadmaps that improve acquisition, conversion, engagement, retention, and member satisfaction. Drive engineering excellence by establishing best practices around architecture, delivery, quality, observability, and operational performance. Build highly collaborative relationships across Engineering, Pro

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 Senior Manager, Operations Program Strategy will build and lead the operating system that enables CLEAR’s field organization and Aviation leadership team to execute consistently and scale effectively. You’ll own the standards, program governance, strategic planning, initiatives organization, and change management that connect Central Operations with the field—ensuring programs are ready before launch, priorities stay aligned, and change lands successfully across all Aviation programs. What you'll do: Drive Central Operations strategic planning and rhythms of business, including OKRs, program management, Monthly Business Reviews, annual planning and budgeting, and cross-functional strategic initiatives Build and lead CLEAR’s Operations change management and field communications framework, ensuring changes are thoughtfully planned, clearly communicated, appropriately sequenced, and consistently executed across a distributed field organization and leadership team Define and maintain CLEAR’s field operating standards, including SOPs, role expectations, quality assurance frameworks, and accountability measures across the field organization Lead program governance for Operations, establishing clear stage gates, readiness criteria, launch requirements, feedback loops, and field intake processes that enable successful execution of new programs and initiatives Serve as the integration point across Aviation programs, aligning cross-functional stakeholders and sequencing field-facing priorities to create a consistent operating experienc

OVERVIEW: The Insights product is an offering for Guidepoint's institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, and AI-facilitated data and content. The teleconferences live in an online library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. hedge fund analysts), sell-side equity research analysts, and industry professionals. This is a hybrid position based in our New York City office. What you'll do: Build and lead a high-caliber research team: Recruit, develop, and manage a group of analysts producing differentiated, investor-grade insights across the technology, media and telecom (TMT) space, with full ownership over research quality, agenda-setting, and output. Own the research strategy and content roadmap: Define what gets covered and why—shaping expert calls, thematic work, and proprietary content aligned with real-time public equity investor demand Drive business growth and AI-enabled innovation: Partner with commercial and product teams to launch new research offerings, leveraging AI to scale insight generation, enhance workflows, and create differentiated products for institutional investor clients. What you have: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Has covered all parts of the global TMT sector (Enterprise Software, Hardware & Semis and Consumer Internet); candidates must be current on company/industry knowledge Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

About Novo Small businesses are the backbone of the US economy — nearly half of GDP and the private workforce — yet big banks don't give owners the access, assistance, or modern tools they need to grow. We started Novo to change that. Our mission is to increase the GDP of the modern entrepreneur by building the go-to banking platform for small businesses. Novo is a fintech, not a bank. We give entrepreneurs, freelancers, and SMBs an operating system for their money: no-fee business checking, debit and credit cards, loans and funding, payments across every rail (ACH, wires, FedNow), invoicing, bill pay, expense management, and integrations with the tools they already run their business on. We've helped hundreds of thousands of businesses get powerfully simple banking, and we're just getting started. Why Novo? A mission-driven team building for the people big banks pretend don't exist Real ownership: we make decisions that affect real businesses every day, and we trust people to act on that A flat culture where ideas win on merit — hierarchy is not authority Modern stack, modern tooling, and a team that takes AI seriously as part of how we work Competitive salary and stock options for every full-time employee Medical, dental, and vision coverage Learning and development budget Offices in NYC and India, with Wednesday team lunches that rotate cuisines The Role We're looking for a Staff Product Designer to be the highest-leverage individual contributor on our product design team. You'll own the hardest, most ambiguous design problems at Novo — the ones that cut across checking, payments, credit, and invoicing, and across web, iOS, and Android — and you'll set the bar for what great looks like for everyone else. This is not a management role. It is a role with real authority over the quality and coherence of the product. You'll partner directly with product leads, engineering leads, data, and compliance to shape what we build, not just how it looks. You'll multiply the t

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect

As a Senior Product Manager for Regulated Industries, you'll drive our compliance, data sovereignty, and new market presence roadmap—one of Datadog's highest-growth focus areas. You'll work cross-functionally with teams across GTM , Support, Corporate Development, and fellow product managers to help accelerate that growth. A key focus of this role is international expansion across strategic markets, alongside supporting our ongoing regulated industries initiatives. At Datadog, we place real value in our office culture—the relationships, collaboration, and creativity it fosters. We operate as a hybrid workplace so our Datadogs can build a work-life balance that fits them. What You'll Do Define the roadmap for delivering Datadog's platform to highly regulated customers, globally Collaborate with product managers to help them succeed in regulated markets Speak fluently to the technical details customers care about—data flows and security architecture—for both engineering and executive audiences Enable GTM by partnering closely with sales and marketing teams Partner with Compliance Engineering and InfoSec teams Work with marketing, sales, and post-sales teams to identify gaps in our regulated offerings Deliver AI capabilities responsibly to highly regulated customers Who You Are You have five or more years of experience in a SaaS/B2B regulated industries role—Product Management, Compliance, Global Public Sector Engineering, or Product Marketing You're passionate about working with customers in regulated markets such as public sector, healthcare, and financial services You're customer-focused with high standards for quality You're energized by growth-stage opportunities You can engage deeply with technical, compliance, security, and executive audiences alike—from platform engineers to CISOs and CTOs You have excellent verbal and written communication skills, with the confidence to present ideas to technical stakeholders and executives alike You enjoy partnering cro

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Lead the technical design and architecture of major platform initiatives, author design documents and build consensus across engineering teams. Define technical roadmaps for complex, multi-quarter projects that span multiple teams. Make critical architectural decisions for company documentation infrastructure, balancing scalability, reliability, and developer experience. Evaluate and set direction for integrating emerging technologies, including AI/LLM capabilities, into company documentation platforms and authoring tools. Establish and evolve engineering standards, best practices and technical guidelines for the team and broader organization. Partner with engineering teams across the company to understand documentation needs and design integrated solutions. Design, build and maintain scalable, reliable and performant services and systems. Contribute high-quality code across the full stack and navigate codebases with different languages and tools. Debug and resolve complex production issues and improve system reliability. Take ownership of system health and incident response. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Engineering, or a related field, plus four (4) years of experience in Software Engineering. Must have four (4) years of experience in each of the following: - Working in a full stack environment with a foc

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. Own the quality and impact of the team’s work across solution design, implementation, production readiness, adop

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

Datadog is hiring a Head of Global Executive Support to lead and scale our Executive Support organization. This is a leadership role responsible for the strategy, operations, and people development of a global team spanning Executive Assistants, Senior EAs, Team Leads, and Managers. The leader will serve as the connective tissue between executive leadership and the broader organization, helping to set the standard for operational excellence, building scalable systems, and developing the next generation of EA talent. Datadog's Executive Support team is a high-visibility, high-impact function that directly enables our most senior leaders to operate at their best. As the leader, you'll shape how the entire function runs; building a team culture grounded in excellence, discretion, and genuine partnership. The right person for this role brings deep expertise in executive-level support, a systems mindset, and a track record of leading high-performing administrative organizations. 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 Lead and develop a global, multi-level executive assistant team Define the long-term vision and operating model for Executive Support at Datadog Drive headcount planning, resource allocation, and org design as the company scales Develop and maintain policies, playbooks, and documentation that standardize high-quality support across all executive stakeholders Identify and implement process improvements that increase efficiency and reduce friction across the organization Act as an escalation point for complex, high-stakes, or sensitive executive support needs Maintain discretion and judgment around confidential information at the highest levels of the organization Partner with Finance, Legal, People, and leaders across

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: As a Senior Project Manager for our Healthcare team, you will serve as a dedicated Owner's Representative, guiding complex infrastructure projects from concept to completion. This position requires a unique blend of deep technical expertise in mechanical and electrical systems and sophisticated client-facing skills to champion our clients' interests. At JLL, we are collectively shaping a brighter way for our clients, and in this role, you will be their trusted advocate—ensuring healthcare facilities are delivered on schedule, within budget, and to the highest standards of quality and regulatory compliance. You will act as the central point of communication, translating intricate technical details into clear, strategic actions for all project stakeholders. What your day-to-day will look like: Serve as the owner’s primary advocate and liaison, fostering collaboration between the client, design teams, contractors, and all project stakeholders. Manage overall project performance, including scope, schedule, and budget, to ensure successful delivery against key milestones. Provide expert technical oversight for mechanical (HVAC, medical gas, plumbing) and electrical (power distribution, emergency power) infrastructure systems. Review design d

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t