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Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring for our Treasury team Software Engineers at various levels (II and Senior) who are curious and willing to dive deep and understand our technology and domain in order to solve interesting and hard problems.The Treasury team maintains and builds the backend services that manage the flow of funds between Lithic and third parties. This includes our ledger, ACH and wire infrastructure, and associated reconciliation. The systems we maintain have high standards of reliability and correctness. You will become an expert in the card payments space. The Treasury team primarily uses Python for their tech stack. What You'll Do: Ensure high reliability and correctness for Lithic’s ledger and orchestrated funds flows Develop new features to better serve Lithic customers Ensure that the team is delivering reliable, secure, and scalable code with minimal tech debt Own initiatives from planning to launch, keeping stakeholders informed and aligned along the way Lead efforts to improve systems and processes wit

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. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are looking for a highly skilled Senior Frontend Engineer to join the Portworx UI team, responsible for building intuitive, scalable user experiences for our Kubernetes-based platform. You will build production-quality web applications using React, collaborate closely with UX, Product, backend teams, and engineering leadership, and help shape frontend architecture and engineering practices. This role requires strong ownership, sound technical judgment, and the ability to solve complex problems independently while helping other engineers grow. WHAT YOU'LL DO We are primarily an in-office environment and therefore, you will be expected to work from the {{OFFICE_LOCATION}} office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. Design, develop, and maintain scalable, high-performance single-page applications using React and TypeScript. Own features end to end—from requirements and design through implementation, testing, release, and production support. Create reusable, accessible, responsive UI components using modern HTML, CSS, React patterns, and design systems. Collaborate with UX, Product Management, and backend teams to turn customer and product needs into polished, production-ready features. Contribute to frontend architecture, API integration, performance, maintainability, and engineering best practices. Write and maintain unit, integration, and end-to-

Squarespace is seeking an Engineering Manager to lead our Purchase, Access & Subscription Success (PASS) team. The group is responsible for the buyer-facing purchase and subscription experience, including the multi-product cart, secure checkout flows, subscription and billing panel, cross-selling, cancellation surveys, and invoices. This team's work directly drives revenue by shaping how customers purchase, manage, and retain their Squarespace subscriptions. As the manager of this team, you'll lead a group of experienced frontend and backend engineers who build and maintain the cart experience and checkout flows, power the subscription and billing panel UI, drive cross-sell and upsell initiatives, and deliver new product integrations. You'll work closely with product, design, analytics, and peer engineering teams to deliver seamless, high-converting purchase experiences for Squarespace customers worldwide. This is a hybrid role working from our Dublin office 3 days per week. You will report to the Senior Engineering Manager of Revenue Systems. You’ll Get To… Lead a full-stack engineering team responsible for the multi-product cart, secure checkout flows, subscription and billing panel experience, cross-sell services, cancellation surveys, and invoices. Drive the execution of the Monetization roadmap, including secure checkout migration, new product integrations, and cross-sell optimization. Coach, mentor, and develop engineers through regular feedback, goal-setting, and technical guidance. Collaborate with cross-functional partners (Product, Design, Analytics, and peer engineering teams) to align engineering initiatives with business priorities. Foster a culture of technical excellence, reliability,

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Senior Managers of Engineering at OneTrust make long-term strategic and technical contributions. They set strategic goals for the team, hire and develop engineers, and prioritize projects that create meaningful customer and business impact. They remain technically engaged—helping develop new products, identify requirements, and execute with excellence. As a Senior Manager on the AI Governance Engineering team, you will lead the development of OneTrust’s next-generation AI Governance platform. You will help turn complex governance, compliance, security, and responsible AI requirements into scalable products that enable organizations to confidently build, evaluate, deploy, and operate AI models and agents. This is an opportunity to shape a high-impact product area at the intersection of AI, enterprise software, and trust. Your Mission Drive strategic planning and execution while developing key technologies that strengthen OneTrust’s long-term, proprietary strategic position in AI Governance. Create new concepts from initial design through market release, establish a strong engineering culture, and le

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. Service Levels is one of New Relic's most commercially critical products — it powers SLO compliance and reliability measurement for thousands of customers. We're looking for an experienced Engineering Manager to lead a senior, high-performing team building the next generation of service level management at scale. You'll lead a team that includes lead-level engineers with deep domain expertise, and your value will come from enabling their best work — not directing it. You'll own delivery, quality, and team health while partnering closely with product and design to ship features that directly impact New Relic's commercial momentum. What you'll do Lead a full-stack engineering team of 6-8 across backend (Java/Spring Boot) and frontend (React/TypeScript) Own end-to-end delivery — sprint planning, execution, quality, and release Set clear expectations, manage performance equitably, and develop engineers at every level Partner with Product Manager and XD to translate requirements into technically sound, deliverable plans Drive architectural discussions and hold the team to engineering excellence standards Identify

About the Role Join Peloton’s Global Network Services team as a Senior Engineer, sitting at the unique intersection of high-scale enterprise networking and high-stakes media production. In this role, you will architect and support the global infrastructure that powers our corporate offices, warehouses, and flagship New York Broadcast Studio. Acting as the key bridge between Global Cloud Engineering and Studio Operations, you will deploy highly resilient, scalable architectures that deliver live streaming content seamlessly to millions of members worldwide. Your Daily Impact Global Architecture & Deployment: Design, optimize, and secure Peloton's global network footprint, integrating Cisco, Meraki, Aruba, and Palo Alto Networks across hybrid on-premises and AWS environments. Studio & Broadcast Reliability: Lead deep-dive traffic analysis and troubleshooting for our NY studio, ensuring 24/7 uptime for live broadcasts, real-time video streaming, and OTT media delivery. Operational Leadership & Lifecycle Management: Manage the end-to-end network project lifecycle—from traffic shaping and SD-WAN optimization to establishing SOPs, security policies (with InfoSec), and handling Tier-3 disaster recovery. You Bring To Peloton Broad & Deep Network Expertise: 8+ years in Network Engineering, including 6+ years in complex SaaS environments and 4+ years designing public cloud networking (specifically AWS). Advanced Protocol & Security Mastery: Expert knowledge of L2/L3 protocols (BGP, OSPF, EIGRP), security protocols (IPsec, 802.1x, RADIUS), SD-WAN, and SDN/SDDC full-stack solutions. Media & Streaming Specialization: 3+ years optimizing IP networks specifically for live video delivery, utilizing multicast/unicast technologies and streaming protocols like HLS, RTMP, and SRT. Education & Elite Certifications: A Bachelor’s degree in Engineering or Computer Science, backed by active CCIE or JNCIE certifications (required). Collaborative Mindset: A curious

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Senior Mechanical Engineer — Robotics Hardware Location - Bangalore Instawork Robotics Labs is building Instacore, our proprietary five-camera and IMU wearable capture rig. Hundreds of units operate across India every day, collecting real-world data used to train frontier Physical AI models. We are looking for a senior, mechanically focused engineer to own the complete hardware lifecycle for Instacore and future hardware products. This person will independently lead design, prototyping, manufacturing, testing, deployment, logistics, maintenance, and continuous improvement. What you’ll do - Own the mechanical design and development of Instacore and other robotics hardware from initial requirements through production and field deployment. - Create detailed CAD models, assemblies, engineering drawings, bills of materials, and manufacturing documentation. - Rapidly prototype and validate designs using 3D printing, machining, fabrication, and off-the-shelf components. - Design durable mounts, enclosures, fixtures, wearable components, packaging, and protective systems. - Own design for manufacturability, assembly, serviceability, reliability, and cost. - Improve cable routing, connector retention, strain relief, thermal management, ingress protection, and resistance to vibration and impact. - Design packaging and logistics processes that prevent damage during storage and transit. - Establish verification, stress-testing, quality-control, and acceptance-testing procedures. - Investigate field failures, d

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

Location: San Francisco, CA (Hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems. You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization. This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions. Key Res

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: "Thriving on innovation, One97 delivers Customer Communication, Up-Selling, Mobile Content, Advertising based and Platform services to over 500 Million mobile consumers across the globe. Headquartered in New Delhi, and backed by marquee investors like Intel Capital, SAIF Partners, Silicon Valley Bank, SAP Ventures & Berkshire Hathaway, One97’s products and services are available on various models i.e. Capex, Opex & Revenue Share model as per the flexibility of Telco’s. Our Key Offerings are divided into 5 broad categories as follows: • Entertainment• Digital Platforms• CVM Solutions• Enterprise Services• Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more. About the role: Responsible for guiding teams towards continuous integration and continuous deployment; hence, he must have extensive knowledge of the automation tools and their application like Gradle, Git, Jenkins, Bamboo, Docker, Kubernetes, Puppet Enterprise, Nagios, Chef, and Ansible. The DevOps tackles our organization’s toughest technical problems and drives technical excellence at all levels, working with senior management to support the execution of the organization’s vision. The DevOps / Sr. Devops/ Lead Devops is a person who cares deeply about the technical side of operations and makes sure that everything is running smoothly for our applications. The ideal candidate understands technology deeply at both the server

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the multi-year ML roadmap for GenA

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Platform Services is one of DoorDash’s organizations responsible for extending DoorDash beyond the consumer marketplace. The team owns three distinct business lines: Drive, a white-label delivery API that enables external businesses to access DoorDash’s delivery network; Parcels, which provides last-mile logistics for retailers and merchants; and Enterprise (DoorDash for Business), a b2b product suite powering corporate meal programs and large ordering for organizations of all sizes. We are looking for a Senior Technical Program Manager to help scale Platform Services. You will lead important engineering wide initiatives across Enterprise, Drive, and Parcels, working with Engineering, Product, Operations, and business leaders to deliver dependable, extensible logistics capabilities for external businesses. Programs will span backend services, partner and merchant integrations, operational tooling, and platform interfaces. They require strong technical judgment, cross organizational coordination, stakeholder management, and ownership of results. You will report into the centralized Technical Program Management team in Engineering. You're excited about this opportunity because you will… Drive Platform Services’ Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Platform Services’ strategy into executable technical programs. The portfolio spans Drive (DoorDash’s white-label delivery offering), Parcels (last-mile logistics for merchants and retailers), and Enterprise (DoorDa

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including