Platform Engineering Leader Jobs

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration. The main responsibilities include: You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform. You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality but easy to operate. What we look for: Minimum 3 years of experience in managing top-tier engineering teams 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals. A passion for database systems, storage systems, distributed systems, or performance optimization Experience working with product management, and directly with customers; ability to understand customer needs. Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience buildi

Job Details: Job Description: This position is in the Silicon and Platform Engineering, Platform and Experience Architecture, PXA team. This team is responsible for defining experience driven client platforms that delight customers and drive business success. This role is for the Platform Architecture Manager and leader of the Platform Workflow and Competitive Analysis team which exists to translate outside-in insights into platform requirements that define winning client PC experiences. Under a single-umbrella of leadership, PWCAs responsibilities are focused on integrating UX research, ecosystem engagement, competitive analysis, UX workflow development, and data collection into a single operating model that improves PXA's ability to make fast, evidence-based architecture and roadmap decisions. PWCA integrates diverse functions and expertise to uncover insights and translate a data-backed vision into actionable recommendations for complex technology and product roadmap decisions. Its leader must build a cohesive team, foster a strong culture, and establish a decision-making framework that aligns diverse projects and expertise in an open-ended environment requiring long-term, multidisciplinary research and analysis. The qualifications below reflect the experience and capabilities needed to succeed in this role. Experience Experienced managing 10-20 person teams with varied deep areas of expertise Intuitively grasps the unique timelines of IP, SOC, and Platform development and the key moments of intercepting different inputs into the development cycles Proven ability to apply user experience research methods and lead the collection, synthesis, and management of insights from users, customers, and ecosystem partners to inform platform and roadmap decisions Proven experience leading competitive analysis acro

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Role We are seeking a Senior Finance Manager to serve as a key partner to Mixpanel’s Engineering, Product, and Design (EPD) organizations. This person will own infrastructure cost, EPD opex, and headcount planning while building scalable systems to improve visibility and decision-making, as well as the analytical frameworks that guide how Mixpanel deploys capital and allocates resources across these areas. You’ll partner cross-functionally with Engineering and Product leadership, People, and Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. Responsibilities Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining efficient spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottoms-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Precompute Platform Lead to own and scale Addepar's precompute layer — the platform that pre-calculates financial analytics and transparently integrates precomputed and real-time results, delivering step-change improvements in query latency and concurrency for enterprise-scale wealth management firms. The team operates on terabyte-scale datasets, leveraging vector-oriented programming and distributed systems to enable sub-second performance. You will lead the evolution of this capability from targeted use cases to a platform-wide performance layer — solving hard problems in incremental computation, vectorised processing, and distributed data architecture as you scale. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Own the precompute platform roadmap in partnership with Product and engineering leadership, defining and meeting aggressive performance KPIs for daily processing, incremental processing, and query latency across enterprise clients Architect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through the adoption of strateg

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and cross-functional partners. Key Responsibilities Team Collaborate with a global platform team and customer base Communicate clearly both written and verbally with customers, stakeholders, and vendors. Service Enablement & Innovation Stay updated on platform roadmaps and upcoming changes through regular communication with vendors and public forums. Collaborate with solution architects to evaluate and adopt new tools and features that accelerate technical solution delivery. Participate in the evaluation of new services and features following SMAI Enablement and Architecture Review Board (ARB) guidelines. Document findings, share insights with platform team members, and contribute structured feedback to vendors. <span

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Over 180,000 restaurant businesses run on Toast. About the team OLAP Platform is the analytical data layer that powers real-time reporting for restaurants and agentic data access for AI-driven products across Toast. As Engineering Manager II, you will lead a growing engineering team in Dublin that owns this shared surface. The team is in a pivotal stretch of work: scaling the platform to support more domains and consumers, keeping performance and cost in balance as it grows, and putting the governance in place to open it up safely to the next wave of AI-driven products. This is a role for an engineering leader who combines platform thinking, operational discipline, and strong cross-functional influence. You should be comfortable owning developer experience for internal engineering customers, driving technical strategy and creating clarity in a fast-moving environment. A day in the life (Responsibilities) Define and drive the technical direction, strategy and execution as the platform scales to more domains and consumers. Build the partnerships that make a shared platform work - aligning with consumer team leads on roadmaps and onboarding, and representing OLAP's priorities and constraints in cross-team forums Bring an AI-first approach to team workflow, reducing manual effort, accelerating issue resolution and shaping how the platform serves AI-driven consumers safely and at scale. Build outcome-oriented operating mechanisms, including metrics and monitoring, that keep consumer teams unblocked and give the platform team early signals when something is breaking or getting hot. Coach and mentor engineers, helping them grow technically and as leaders. Operate effectively in a fast-moving environment where experimentation, iteration, and platform stability must coexist. &nb

Engineering Manager, Machine Learning Credit Risk Who we are About Stripe Stripe 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. About the team The Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience. Our team consists of machine learning engineers who build models and systems used across Stripe’s credit-risk products. We work closely with partners in Product, Data Science, Credit Strategy, Operations, and other engineering teams. Together, we help stakeholders make informed decisions and support sustainable growth wherever credit risk affects Stripe’s products. What you’ll do We’re looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You’ll set the team’s technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver reliable systems that balance loss prevention with the user experience. You’ll work across engineering, product, data science, and risk to identify the highest-impact opportunities and turn them into a focused roadmap. You’ll also hire and develop engineers, strengthen the team’s technical practices, and contribute to machine learning and engineering leadership across Stripe. Responsibilities Se

About the Team The Core Services organization builds and runs the mission-critical online services that product teams rely on in production. We own foundational distributed systems and platform capabilities that enable reliable execution, high-performance services, and large-scale file/data needs across our products. This team is distinct from developer infrastructure and data infrastructure—our focus is production service foundations and core runtime services. About the Role We’re hiring an Engineering Manager, Core Services to help lead teams responsible for highly reliable, high-scale distributed systems that sit on the critical path for OpenAI products. Your team will own foundational production systems that OpenAI’s product engineering teams build on. You’ll collaborate closely with product and infrastructure partners to ship reliable services quickly, and help scale systems and teams as OpenAI grows. You’ll partner closely with senior engineering leaders to scale the org, mature operations, and drive major platform initiatives. This role requires strong technical ability. You’ll be responsible for: Managing and growing a high-performing team of infrastructure engineers. Leading teams building and operating large, critical production platforms, including cluster reliability, scaling, and rollout safety. Building and operating mission-critical distributed systems with strong operational rigor (SLOs, incident response, capacity planning, reliability). Setting technical direction for platform foundations such as workflow/orchestration capabilities, large-scale file/blob/storage services, and core service foundations. Partnering with a broad set of stakeholders, including product engineering, adjacent infrastructure teams, and (where relevant) finance/cost partners. Coaching, mentoring, and developing engineers and emerging leaders. You might thrive in this role if you: Have significant experience leading teams that run mission-critical infrastructure in production

Opportunity Overview: We are seeking a Senior Engineering Manager to lead our Review Engineering team — roughly 20+ engineers across three squads in the US and India — building the workflows and capabilities that let clinical operations staff deliver care at scale, efficiently and with high quality. Leading through dedicated technical leads on each squad, you'll own the reliability and technical direction of Review's systems while partnering closely with Product, Design, Security, Clinical Operations, and peer engineering teams on shared platforms. This is an opportunity to shape a growing, business-critical part of Cohere's platform and to grow the next generation of engineering leaders in health technology. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Lead 20+ engineers across multiple agile squads (US and India) through dedicated technical leads Own production reliability for Review-owned systems — incident response, root-cause RCAs, and cross-functional tiger teams for major incidents Set technical vision and provide leadership across design and sprint processes, partnering with Staff Engineers Drive delivery transparency through sprint metrics, catching risk early and informing data-driven interventions Partner with Product, Design, Security, Clinical Ops, and peer engineering teams (including our Hyderabad group) on shared systems and initiatives Own hiring, leveling, and career growth for direct reports and their leads; help attract and retain top talent Build a culture that grows early-career engineers into future health-tech leaders, with a bias toward team autonomy Champion testing, quality, and security practices in a regulated (HIPAA/SOC2) environment What you’ll need: 5+ years managing software engineering teams in a fast-paced, agile environment, including 3+ years leading multiple teams through technical leads or managers Exper

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

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! AI Platform Engineering Location: Bangalore (Hybrid - in office at least 3 days/week) About the Role We are seeking an experienced and visionary technology leader to lead the development and scaling of our Operational AI platform capabilities. This role will own the strategy, architecture, delivery, and operational excellence of Couchbase AI Cloud Platform capabilities. This is a strategic leadership role at the intersection of distributed systems, cloud-native platforms, and AI. You will lead a large, multi-layered engineering organization responsible for delivering The Operational Data Platform for AI, while partnering closely with Product, Design, SRE, and Go-To-Market teams. Your leadership will directly influence company growth, customer adoption, platform reliability, and Couchbase’s competitive pos

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. ABOUT THE ROLE Samsara's Go-To-Market Systems team is building the AI-first infrastructure that powers how one of the world's fastest-growing SaaS companies sells. As Engineering Manager, GTM AI Engineering, you'll lead a team of senior engineers who build and operate the AI orchestration engines, Salesforce/CRM/PRM integrations, and agentic workflows that keep our global sales organization moving. This role is for a hands-on engineering leader — someone who writes code, conducts design reviews, and shapes architecture alongside the team, while also owning the people processes that make a great team great: hiring, career development, performance, and culture. You'll partner closely with Sales Ops, BizTech, Finance, and GTM leadership to translate business ambitions into reliable, scalable engineering roadmaps. You'll report to the Sr. Director, Sales Technology Engineering, and serve as the technical and people lead for a team of 4–7 engineers. You

Who we are About Stripe Stripe 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. About the team The Infrastructure Finance and Strategy team is an integral thought partner to Stripe's engineering leadership. We bring understanding and predictability to Stripe's R&D investments and operating expenses. We work cross-functionally across many surfaces at Stripe and help ensure the durability of our long-term financial performance. What you'll do We're looking for a Finance and Strategy Partner to join our growing team. You'll help us with the forecasting, budgeting, and reporting for AI investments, including token spend, engineering headcount, and management tools. You'll collaborate with data science, engineering, and finance teams to deliver improvements in our integrated financial systems and metrics, and help drive our strategies for productivity improvement and cost efficiency. Responsibilities • Leverage your financial background to support and influence key strategic and business decisions • Be your business teams' financial partner for analysis and evaluation of strategic projects and initiatives (e.g. foundational investments or business model shifts) • Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses • Drive reporting, process, and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans) • Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and a

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Billing is a full stack engineering group automating revenue workflows and building end-to-end payment and billing capabilities for all of Figma’s customers, from two-person teams to the Fortune 500. Our work is essential for Figma's continuous growth and innovation, playing a key role in each new product launch. We’re looking for an experienced and accomplished engineering leader to join us in our mission to scale Figma’s business while upholding the quality and craft our users love. Your team will be responsible for key areas such as checkout, invoicing, customer lifecycle, pricing and packaging, metered billing, and subscription lifecycle management. You’ll partner closely with Accounting, Product, Design, Data, Marketing, and GTM to chart the course for these features and use them to help Figma’s customers access everything Figma has to offer and budget for future expansion. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience Work closely with cross-functional partners and engineering teams to creatively solve complex problems Hire, manage, support, and develop a team of engineers, including staff level engineers Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders Grow your career within an engaged and cr