Performance Fitter 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 are seeking a strategically-minded, technology-focused, and customer-centric Engineering Manager to lead one of our Infrastructure teams here. You will lead a team responsible for building, operating, and scaling the cloud infrastructure and platform systems that underpin CLEAR’s services, ensuring reliability, performance, and security across our environments. A successful candidate brings strong experience in cloud infrastructure, distributed systems, and operational excellence, along with a solid foundation in software engineering. You are an effective communicator who can lead complex infrastructure initiatives from inception through delivery, and thrive in fast-paced environments. This role requires a focus on building resilient, scalable systems, driving automation, and leading and developing high-performing engineering teams. What you'll do: Hire, develop, and grow engineering talent through coaching, mentorship, performance management, and career development planning Set clear goals and expectations, provide regular feedback, and foster accountability across the team Own and execute the roadmap for cloud infrastructure and platform engineering, and reliability initiatives Design, build, and operate a scalable, secure, and highly available cloud platform infrastructure Drive automation across infrastructure provisioning, deployment, and operations to improve efficiency and reduce manual overhead Establish and enforce best practices for system reliability, observability, incident response, and disaster recovery Partner with eng

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. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is building a centralized Pricing, Yield & Compensation function to bring rigor and visibility to how we price inventory, manage programmatic performance, and compensate our Ads and Lyft Business sellers. This is a high-visibility, cross-functional role sitting within the MBA StratOps function and touching Finance, Analytics, Sales, and Accounting daily. The Manager, Pricing, Yield & Sales Compensation will own three interconnected functions: setting and managing CPM floors, rate cards, and margin targets for our direct-sold advertising inventory; overseeing the performance and economics of our Audience Extension managed service; and partnering with Analytics and Accounting to design, calculate, and administer commissions and compensation for sellers across Lyft Ads and Lyft Business. This role requires an operator who is equally comfortable pulling margin reports, running a compensation calculation model, and holding a vendor accountable to a floor price. Responsibilities: Direct Inventory Pricing & Yield Management: Own the Lyft Ads rate card strategy across all direct-sold formats (display, in-app, sponsored placements) and enforce pricing discipline through the order management system, Boostr. Set and manage CPM floors and pricing tiers, and partner with Sales and Ad Ops to evaluate custom deal structures and non-standard pricing requests against margin thresholds. Monitor sellthrough, utilization, and margin by product line, and surface risks and opportunities in weekly and monthly yield reviews. Managed Service Performance Oversight: Serve as the internal owner of our vendor led Audience Extension managed service performance, holding the vendor accountable to agreed CPM targets, margin commitments, and delivery standards. Conduct regular performance reviews of Vendor campaigns,

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary A Shift Supervisor is a key leader supporting the CVS Store Management team in driving store execution and performance while building consumer loyalty to CVS/pharmacy through a focus on excellent customer service. When there is no manager or Operations Supervisor onsite, the Shift Supervisor leads the store staff, ensures that store operations run smoothly, and is responsible for ensuring the completion of all opening and closing procedures. Essential Functions: 1. Management Work effectively with store management and store crews Supervise the store’s crew through assigning, directing and following up of all activities Effectively communicate information both to and from store management and crews 2. Customer Service Assist customers with their questions, problems and complaints Promote CVS customer service culture. (Greet, offer help, and thank) Handle all customer relations issues in accordance with company policy and promote a positive shopping experience for all CVS customers Maintain customer/patient confidentiality 3. Merchandise/Presentation Price merchandise Stock shelves Execute the displays, sign and inventory of weekly, promotional, and seasonal merchandise</

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary A Shift Supervisor is a key leader supporting the CVS Store Management team in driving store execution and performance while building consumer loyalty to CVS/pharmacy through a focus on excellent customer service. When there is no manager or Operations Supervisor onsite, the Shift Supervisor leads the store staff, ensures that store operations run smoothly, and is responsible for ensuring the completion of all opening and closing procedures. Essential Functions: 1. Management Work effectively with store management and store crews Supervise the store’s crew through assigning, directing and following up of all activities Effectively communicate information both to and from store management and crews 2. Customer Service Assist customers with their questions, problems and complaints Promote CVS customer service culture. (Greet, offer help, and thank) Handle all customer relations issues in accordance with company policy and promote a positive shopping experience for all CVS customers Maintain customer/patient confidentiality 3. Merchandise/Presentation Price merchandise Stock shelves Execute the displays, sign and inventory of weekly, promotional, and seasonal merchandise</

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary A Shift Supervisor is a key leader supporting the CVS Store Management team in driving store execution and performance while building consumer loyalty to CVS/pharmacy through a focus on excellent customer service. When there is no manager or Operations Supervisor onsite, the Shift Supervisor leads the store staff, ensures that store operations run smoothly, and is responsible for ensuring the completion of all opening and closing procedures. Essential Functions: 1. Management Work effectively with store management and store crews Supervise the store’s crew through assigning, directing and following up of all activities Effectively communicate information both to and from store management and crews 2. Customer Service <

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deep

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: Join a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in. Who we are: We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care. We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency. We believe learning is ongoing and that even the most complex problems can have simple solutions. What You’ll Do: Collaborate with teammates to design and build database features that power AI applications. Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you). Help Pinecone run smoothly on popular cloud providers. Take ownership of your work and grow your skills every day. Have fun. Who You Are: 5+ years of work experience - programming in Rust, Go, C++, or a comparable language. You’re genuinely curious about distributed systems and eager to dive deep into technical challenges. You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback. You’re excited to learn, value constructive feedback, and appreciate mentorship. Bonus Points: You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick u

This is a senior individual contributor role for someone who wants to actively shape how Engineering, one of the most important parts of how Datadog develops its people. You'll sit at the center of Datadog's biggest talent bets for Engineering: how we build leaders, define career paths and org design, evolve performance, move talent internally, and plan succession for our most critical roles. You’ll own this work end to end, from the first framing conversation with senior leaders through to delivering a program running at scale. AI is changing how Engineering builds software, and it is changing how People builds the programs that support Engineering too. This role sits at the centre of both: understanding how AI is reshaping engineering roles, skills and structures, and building AI-powered solutions within People to keep pace. 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: Design and lead complex talent programmes for Engineering, spanning leadership capability, career architecture, org design, performance, internal mobility and succession for critical roles. Partner directly with PBPs and senior leaders to turn ambiguous problems into clear programme goals, design principles and success measures. Help Engineering and People understand and respond to how AI is reshaping roles, skills and ways of working, and translate that shift into practical talent and org design choices. Stay hands-on from concept through to adoption: this is a build and run role, not a strategy and handover role. Work across Enablement, Learning, People Analytics and People Systems so what you build scales and embeds into core people processes. Equip PBPs with frameworks, tools and executive-ready narratives that support real adoption in the business. Operate in ambigu

Our GTM Enablement team plays a critical role in helping Datadog’s Sales and Customer Success teams succeed by equipping them with the right skills, knowledge, and tools at the right time. We partner closely with teams across Sales, Customer Success, Product Marketing, Strategy & Operations and more to ensure enablement programs translate into real performance in the field. The Program Management team within Sales Enablement is a group of interdisciplinary thinkers leveraging diverse business backgrounds in engineering, education, management consulting, business operations (and more!) to define, manage and measure Datadog’s global go to market motion. We solve complex, systemic challenges that impact go-to-market effectiveness by diagnosing root causes, whether behavioral, skills-based, or structural, and shaping the strategic solutions that resolve them. We partner closely with our Sales Enablement stakeholders across Curriculum, Field Enablement, Operations, and more to deliver on measurable results and operate as one unified enablement team. As a Senior Program Manager on the Sales Enablement Program Management team, you will design, plan, and execute complex, global, cross-functional programs that change how our Go-to-Market (GTM) teams operate at a systems level. You will own the end-to-end enablement process for the programs and stakeholder relationships you’re responsible for: diagnosing the gap, gathering field evidence, building a multi-faceted strategy (not just a content solution), partnering across teams to deliver the experience, and reporting business impact to Sales and Customer Success leadership. This is a high-ownership role for someone who moves quickly, thinks strategically and creatively, and is equally comfortable analyzing hard data and reading what’s happening on the ground. You’ll drive adoption at scale with limited guidance, influence senior stakeholders without positional authority, and help shape how the Program Management function o

The opportunity Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute. 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 help our Datadogs find a work-life rhythm that works for them. What you’ll do Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product. Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery. Design clear, trustwort

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by pro

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you’ll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what’s possible with AI and distributed systems. You’ll have the opportunity to lead efforts that shape the future of log management. 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: Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale. Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities. Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture Who You Are: You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making You’ve partnered effectively with Product Managers and customers to define product direction and ship impactful features You have expertise in debugging complex systems and optimizing performance across real-time data pipelines You have experience in using AI agents tools in your day-to-day engineering practices You lead by example and enjoy helping others grow through m

Datadog SQL (DDSQL) and Sheets are two of the newest products within Graphing, Datadog’s most-used product area. Together, they give customers flexible ways to query, combine, analyze, visualize, and share data across Datadog. This role owns the product direction and user experience for both products. Your goal is to help users move from raw data to trustworthy answers quickly—whether they prefer writing SQL, working in a spreadsheet, or building visual analyses. Doing this well requires more than adding analytical features. Real-world analysis involves nuanced decisions about data models, joins, aggregations, time windows, missing data, query performance, and the transition from exploration to reusable work. You’ll work closely with design and engineering to make these capabilities understandable without limiting their analytical power. You’ll also help expand the data customers can analyze in Datadog, including third-party and business data alongside operational telemetry. This will make DDSQL and Sheets central analytical tools for a broader range of questions and users. What you'll do: Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows Use product analytics and customer research to identify friction, improve onboarding, and measure whether users are reaching useful answers faster Define the experience for querying, transforming, visualizing, and sharing data, from query composition and results exploration to errors, performance feedback, and collaboration Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs Redesign how users discover and get started with Graphing products: rethink list pages, build onboa