Platform Engineering Lead Jobs

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is hiring a Senior Manager, Customer Success Engineering to lead Customer Success Engineering in EMEA. This leader will manage CSEs, ensuring the team is focused on the customers where Postman can create outsized impact, while providing the coaching, inspection, and operational discipline required for consistently high-quality execution. This is a highly cross-functional leadership role and a critical partner to Sales. The leader will work closely with International Sales leadership to prioritize accounts, shape technical engagement strategy, allocate CSE capacity, and ensure customer execution is progressing with urgency and discipline. CSEs help customers embed Postman into real engineering workflows across API design, governance, CI/CD, developer platforms, integrations, modernization, migration, automation, quality enforcement, and service discoverability. This is not about general support or enablement: CSEs are laser-focused on turning Postman from a beloved developer tool into critical API infrastructure. The right leader is an experienced post-sale technical operator who can scale an existing motion,

Own the end-to-end execution that takes NVIDIA DRIVE Autonomous Driving Software (NDAS) from product definition to production deployment across major OEM vehicle lines. We are seeking an accomplished engineering execution leader to lead adaptation, integration, validation, and production readiness of NVIDIA Autonomous driving solution (NDAS) for strategic automotive OEMs. You will work between NVIDIA product and engineering teams and the OEM's vehicle, software, systems, and validation groups. The role involves converting an agreed feature set into a deliverable vehicle program. This entails clarifying requirements, coordinating interfaces and responsibilities, setting the engineering plan, building consistent productization workflows, and managing issue resolution. You will influence teams such as systems engineering, autonomous-driving development, platform software, functional safety, cybersecurity, quality, validation, release, and customer engineering. What You'll Be Doing: Lead NDAS execution with major OEMs across the full program lifecycle — from feature definition and technical alignment through vehicle integration, validation, launch, and production ramp — owning the coordinated engineering plan per vehicle line, including requirements, architecture, adaptation scope, achievements, staffing, validation strategy, release criteria, and production-readiness gates. Translate OEM vehicle requirements and use cases into clear commitments for NVIDIA teams, while ensuring OEM partners understand product capabilities, constraints, assumptions, and the work required on their side; build scalable, repeatable workflows for adapting NDAS to specific OEM platforms, vehicle architectures, sensor configurations, compute platforms, networks, and development processes. Drive multi-functional implementation across autonomous-driving features, systems, platform software, vehicle integratio

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As an Engineering Manager leading our Reporting team, you will lead a newly structured team focused on a critical product area within GRC Program Orchestration. This role represents an exciting opportunity to shape the future of how Vanta customers understand, visualize, and operationalize their compliance and security programs. This team is focused on evolving Vanta’s reporting platform beyond dashboards into a scalable, AI-powered reporting experience. The team owns core initiatives across enterprise reporting, historical analytics, AI-assisted insights, and certified data infrastructure powering in-product experiences. This role sits at the intersection of data products, enterprise scalability, and product innovation. As reporting becomes increasingly foundational to enterprise growth, customer retention, and Vanta’s long-term AI strategy, this role will play a key role in shaping engineering execution, cross-functional alignment, and the long-term technical direction of one of Vanta’s critical product investments. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Build and scale a high-performing team: lead, coach, and grow the team while hiring strategically, identifying operational gaps, and raising the engineering bar Drive execution across strategic initiatives: Deliver against a multi-quarter roadmap spanning reporting infrastructure, enterprise reporting capabilities, AI-powered insights, and scalable data foundations Shape technical and product strategy: Partner closely with Product and cross-functional engineering teams to define the

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As an Engineering Manager leading our Reporting team, you will lead a newly structured team focused on a critical product area within GRC Program Orchestration. This role represents an exciting opportunity to shape the future of how Vanta customers understand, visualize, and operationalize their compliance and security programs. This team is focused on evolving Vanta’s reporting platform beyond dashboards into a scalable, AI-powered reporting experience. The team owns core initiatives across enterprise reporting, historical analytics, AI-assisted insights, and certified data infrastructure powering in-product experiences. This role sits at the intersection of data products, enterprise scalability, and product innovation. As reporting becomes increasingly foundational to enterprise growth, customer retention, and Vanta’s long-term AI strategy, this role will play a key role in shaping engineering execution, cross-functional alignment, and the long-term technical direction of one of Vanta’s critical product investments. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Build and scale a high-performing team: lead, coach, and grow the team while hiring strategically, identifying operational gaps, and raising the engineering bar Drive execution across strategic initiatives: Deliver against a multi-quarter roadmap spanning reporting infrastructure, enterprise reporting capabilities, AI-powered insights, and scalable data foundations Shape technical and product strategy: Partner closely with Product and cross-functional engineering teams to define the

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Team Lead - Software Engineer As a Software Engineering Team Lead based in Singapore, you will lead a team of highly skilled software engineers responsible for building and evolving Adyen's Global Cards platform for the APAC region. Your team plays a critical role in developing scalable, reliable, and resilient payment capabilities that power card transactions for merchants across APAC. You'll work closely with Product Managers, Architects, and Engineering teams to deliver new functionality across the Cards domain, while continuously improving the performance, scalability, and reliability of our platform. As a people leader, you'll coach and develop engineers, foster a culture of ownership, and help shape the technical direction of one of Adyen's core payment domains. As part of Adyen's global engineering organisation, you'll collaborate closely with teams across Europe, APAC, and North America to build products that scale globally. What you'll do Lead, coach, and develop a team of Software Engineers, supporting both their technical and professional growth. Foster a high-performing engineering culture built on ownership, collaboration, and continuous learning. Partner closely with Product Managers to translate business priorities into scalable technical solutions. Drive the technical direction of the team, balancing product de

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Economy ML team sits at the center of this mission. We build ML and AI systems that power personalization, search, pricing, recommendations, and virtual item intelligence across Roblox Economy surfaces, including Avatar Marketplace, Payments, Developer Monetization and Subscriptions. As Roblox continues to invest deeply in AI and ML, this organization also plays a key role in advancing next-generation AI capabilities across the company through close partnership with Discovery, Foundation AI, Engine, Creator and product engineering teams. Our work spans both product impact and foundational ML innovation at Roblox scale. We are looking for a Director of Engineering to lead and scale Economy ML. This leader will define the strategy, organization, and execution model for a fast-growing ML organization spanning recommendation systems, ML infrastructure, search, content intelligence, and Generative AI applications. Why Roblox for ML/AI AI/ML is a top company priority , with strong executive support and long-term investment. Massive real-world scale: Millions of users, creators, and economic interactions every day. Unique technical challenges: Recommendations, pricing, fraud, search, and conte

About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven innovation, building the scalable systems that power Meesho's most critical surfaces — Search, Recommendations, Personalized Ranking, Logistics, Fraud Detection, and Image Match. The AI Platform sits at the heart of this. It serves a peak of 1M+ real-time deep-learning model inferences per second on ordinary days, scaling 3x+ on sale days — with the reliability that scale demands. The team works at the frontier of applied AI and infrastructure — multi-region inference, novel embedding-search algorithms, and optimized open-weight LLM models — squeezing out every bit of computation and passing the cost savings straight back to customers. About the Role We are looking for an experienced Engineering Manager – AI Engineering to lead the development of scalable AI platforms and infrastructure while managing high-performing engineering teams. You will drive the design, delivery, and optimization of production-grade AI systems powering AI use cases across Meesho.

NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data

About the Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas Model Experimentation: Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. Model Deployment: Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. Automate capacity management and incorporate platform-wide health monitors. Model Measurement: Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. Drive expansion and improvement of multi-tier model experiences. Support and scale self-serve experiment capabilities and automated guardrails. Lead model rollout automation, capacity management, and health monitoring. Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: Proven experience leading engineering teams in complex, cross-functional environments. Demonstrated success shipping production systems at scale (ideally for AI or large backend services). Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us Tackle highly impactful technical challenges at the cutting edg

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is expanding the boundaries of the Data Cloud to support mission-critical transactional workloads. Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data. We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale. You will help define the architecture and roadmap, grow the organization, and drive technology from design through production. AS A SENIOR ENGINEERING MANAGER – OLTP AT SNOWFLAKE, YOU WILL: Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans. Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution. Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle. Drive architecture and technical decisions in areas such as transactions, concurrency control, low-latenc

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 . TwoTwenty is Pinterest's innovation lab, building visual-first AI products — assistants, Gen-AI creation tools, and editing experiences — with startup speed at Pinterest scale. We're looking for a Senior Director of Engineering to lead a team of 10 (7 direct reports across ML engineering, software engineering, data science, and product management), own the technical strategy for TwoTwenty's AI product portfolio, and scale the org from scrappy to enduring without losing what makes it fast. This role reports to the VP of Product Management, Core, and partners closely with Pinterest's Core Product & Engineering, Advanced Technologies Group, and Trust & Safety teams to ship AI features that reach hundreds of millions of Pinners. What you'll do: Drive execution of TwoTwenty's 1–3 year technical strategy across visual AI assistants, gen-AI cre

Lead Forward Deployed Engineers (FDE) are the most senior technical leaders in the FDE organization. They own the overall technical strategy for the FDE domain, not just individual engagements, and are accountable for how the entire function operates, scales, and improves over time. They set direction across multiple concurrent engagements, teams, and quarters, and are the technical voice the organization relies on when stakes, ambiguity, or cross-functional complexity are highest. This role sits at the intersection of technical depth, organizational strategy, and people leadership, setting the technical bar for the function, shaping how Product and Engineering prioritize based on field reality, and developing the next generation of Staff-level FDEs. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Own the FDE organization's overall engagement strategy, serving as the primary technical escalation point across the portfolio for the highest-risk, highest-visibility, and most ambiguous situations Act as the trusted technical counterpart to customer executives and internal VP/executive stakeholders on strategic bets, major risks, and cross-portfolio tradeoffs Set the technical architecture standards and design principles that govern how the FDE domain builds customer-facing solutions and platform capabilities, turning organization-level ambiguity into coherent multi-quarter technical strategy Stay hands-on where it matters most, writing and reviewing code and personally unblocking the hardest technical failures to keep the organization's technical bar grounded in reality Own the translation of field-wide patterns into the FDE domain's long-term technical vision, representing that vision to Product and Engineering executive leadership and defending multi-quarter roadmap tradeoffs Own the technical growth and career development of FDEs through mentorship, coaching, and calibration of the org's technical ba

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 Designs, develops, and implements AI solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of AI engineering projects. Required Qualifications 5-7 years of professional experience in software engineering and application development. 2&#43; years of hands-on experience on LLMs & Generative AI (LLM) techniques. Expert proficiency in programming skills especially Python, Google Cloud platform and system architecture. Experience in leading engineering teams and driving technical roadmaps. Preferred Qualifications Define and implement AI safety frameworks Strong problem-solving skills and the ability to think strategically. Excellent communication skills for effective collaboration. Cross-functional collaboration Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred <p style="text-align:in

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 CVS Health is seeking a Senior Full Stack Engineer, Agentic AI Platform to join and lead engineering efforts for Lumina, CVS Health's enterprise knowledge and agentic AI platform. The Senior Full Stack Engineer, Agentic AI Platform will provide both technical and people leadership while driving the evolution of a platform that delivers trusted, secure, and governed AI experiences across the enterprise. As a Senior Full Stack Engineer, Agentic AI Platform, you will own the technical direction, architecture, scalability, and operational excellence of Lumina while leading a team of engineers and data scientists responsible for building and supporting the platform. This is a hands-on leadership role requiring active contribution to production code, architectural decision-making, code reviews, and engineering best practices, while simultaneously coaching and developing team members. The Senior Full Stack Engineer, Agentic AI Platform will play a critical role in advancing agentic AI capabilities, retrieval-augmented generation (RAG) systems, Model Context Protocol (MCP) integrations, enterprise search, knowledge ingestion, and AI governance. You will drive platform enhancements that improve retrieval quality, strengthen security and access controls, expand automation capabilities, and ensure the platform remains reliable, observable, and scalable as adoption accelerates across CVS

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are seeking a Manager, Cloud Engineering to lead and develop a team of cloud engineers while serving as a key technical authority for the architecture, reliability, and evolution of our cloud platform. This role combines hands-on technical leadership with team development, driving infrastructure modernization, automation, and operational excellence across our global SaaS environment while building and mentoring a high-performing enginee