Platform Support Engineer Jobs

Think it, build it, ship it, tweak it" is at the core of Spotify's product development approach. In the Experimentation product area we are providing Spotify and external customers with Confidence, our platform to quickly and safely iterate through ideas, learn from them and make informed decisions for better products. At Spotify, experimentation touches almost all of our functions from marketing via content management to consumer products, and we’re running several thousands of tests every year. Through confidence, we 're sharing all our findings and practices with more companies as a commercial SaaS product. The team you will manage is a skilled and highly engaged group of engineers that are distributed over Europe. As an Engineering manager, you will coach them individually and as a team, maintaining their strong team culture and helping them thrive and and grow. Your technical experience provides mentorship and guidelines to the team, which ensures quality and timeliness of your deliveries. Your leadership promotes creativity, collaboration and courage, which forms a kind and productive team with a high bar for quality and pace of delivery. What You’ll Do You will hire, coach and develop the careers of a team of engineers. You will be responsible for high-quality deliveries. You will partner with product managers to support with prioritizations and product visions. You will support the engineering team and work with Staff engineers to formulate the technical strategy needed to deliver on our vision. You will do hands on engineering work from time to time. In the end, your primary goal is to support a highly effective engineering team delivering an amazing product. Who You Are You thrive when developing great people, not just great products and cultivating a strong engineering culture in an agile environment. You are skilled in collaborating on and developing distributed sy

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid-Market and Enterprise SE teams. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organisations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals w

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, Washington D.C., London and Amsterdam. Security Engineering is the engineering function inside the Plaid security org that focuses on developing the industry-leading security systems and infrastructure. Security Engineering owns most of Plaid’s security-related infrastructure: secure data storage, key management systems, internal identity platform, internal authentication systems, internal permission management, and internal authorization service. We develop solutions across data encryption, key management, access control, and data loss prevention to protect sensitive consumer data. We believe in the Zero Trust security model and are always looking for ways to improve our authentication and access control platforms. About the role You will develop security capabilities to secure Plaid infrastructure and to secure sensitive data access. You will own, maintain, and build Plaid’s security infrastructure and services like Key Management System and Secure Token Service. You will consult with product engineers to ensure Plaid services meet security standards. You will help educate and support other engineering teams to improve security in their own products and services. You will assist with Plaid’s incident response and security awareness pro

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Software Engineer on our Data & Analytics Platform Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. About the job We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalab

Think it, build it, ship it, tweak it" is at the core of Spotify's product development approach. In the Experimentation product area we are providing Spotify and external customers with Confidence, our platform to quickly and safely iterate through ideas, learn from them and make informed decisions for better products. At Spotify, experimentation touches almost all of our functions from marketing via content management to consumer products, and we’re running several thousands of tests every year. Through confidence, we 're sharing all our findings and practices with more companies as a commercial SaaS product. The team you will manage is a skilled and highly engaged group of engineers that are distributed over Europe. As an Engineering manager, you coach them individually and as a team, maintaining their strong team culture and helping them thrive and and grow. Your technical experience provides mentorship and guidelines to the team, which ensures quality and timeliness of your deliveries. Your leadership promotes creativity, collaboration and courage, which forms a kind and productive team with a high bar for quality and pace of delivery. What You'll Do You will hire, coach and develop the careers of a team of engineers You will be responsible for high-quality deliveries You will partner with product managers to support with prioritizations and product visions You will support the engineering team and work with Staff engineers to formulate the technical strategy needed to deliver on our vision You will do hands on engineering work from time to time In the end, your primary goal is to support a highly effective engineering team delivering an amazing product Who You Are You thrive when developing great people, not just great products and cultivating a strong engineering culture in an agile environment You are skilled in collaborating on and developing distributed systems that can scale to millio

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As a Software Engineer, you’ll build and own backend services, infrastructure, and data systems that support Robinhood’s core financial products. You’ll solve complex scalability challenges while gaining deep expertise in U.S. financial systems and making a direct impact on the products used by millions. The Brokerage team’s mission is to pave the way for launching new features, expanding into diverse financial services, and welcoming millions more people into the financial system. The team owns critical services that support trading and brokerage infrastructure and partners closely with other engineering, product, and operations teams across Robinhood. The Incentives team drives user growth and engagement through both strategic incentives and platform capabilities. One sub-team focuses on increasing net deposits by testing incentive and non-incentive levers, while the other builds Robinhood’s centralized, scalable platform to support personalized, company-wide rewards. The Identity team protects both Robinhood and its customers by preventing fraud and ensuring regulatory compliance. They own key systems for identity verification, KYC, and fraud prevention across all product

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As a Software Engineer, you’ll build and own backend services, infrastructure, and data systems that support Robinhood’s core financial products. You’ll solve complex scalability challenges while gaining deep expertise in U.S. financial systems and making a direct impact on the products used by millions. The Brokerage team’s mission is to pave the way for launching new features, expanding into diverse financial services, and welcoming millions more people into the financial system. The team owns critical services that support trading and brokerage infrastructure and partners closely with other engineering, product, and operations teams across Robinhood. The Incentives team drives user growth and engagement through both strategic incentives and platform capabilities. One sub-team focuses on increasing net deposits by testing incentive and non-incentive levers, while the other builds Robinhood’s centralized, scalable platform to support personalized, company-wide rewards. The Identity team protects both Robinhood and its customers by preventing fraud and ensuring regulatory compliance. They own key systems for identity verification, KYC, and fraud prevention across all product

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our SE team within the EMEA region. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Design and implement developer marketing campaigns to drive API adoption and platform usage Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches Have a strong technical

Job Requisition ID # 26WD101494 Machine Learning Operations Developer, Inference, AI/ML Platform L'affichage de poste en français suivra / The French job posting follows Position Overview Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform used in the development of machine learning and generative AI solutions powering Autodesk’s suite of products and services. You will collaborate with research and product engineering teams from various domains including design, construction, manufacturing, and media & entertainment to support platform operations. The role is hybrid Toronto or Montreal. Responsibilities Contribute to the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices Develop and maintain automated deployment pipelines for machine learning models, supporting seamless transitions from development to production Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing <li style="color:#1d

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 Part of the broader Addepar Data Management organisation, the Portfolio Data Operations team is responsible for ensuring Addepar's clients have timely and high quality data. This will include overseeing the processing of transactions and positions so that it meets client timelines, ensuring data quality through verification checks, and helping clients with their data support questions. The Portfolio Data Operations team sits at the nexus of Addepar's activity and requires daily communications with data providers, clients, and other personnel within Data Operations and across the firm. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Perform daily internal verification checks to ensure portfolio account data is accurate and available within SLAs Investigate and troubleshoot data pipeline issues and data feed processing exceptions, and triage with Engineering Support when needed Complete and maintain operational workflows, and identify and implement opportunities for optimisation Collaborate with Client Support, Solution Architects, and other members of Sales and Services to address client data inqui

P-1529 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. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager. The impact you will have: Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs. Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback. Help the support team with detailed troubleshooting guides and runbooks. Contribute to automation and tooling initiatives to streamline daily troubleshooting. Partner with the engineering team and spread awareness of upcoming features and releases. Identify and contribute supportability features back into the product. Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests. Participate in weekend and weekday on-call rotation. What we look for: 7+ years of industry experience Experience

Eulerity is a marketing automation platform built for local advertising at scale. It handles the mechanics of running paid media across search, social, display, and video for hundreds of locations at a time. Our Technical Account Management team owns the strategy behind it. What should be running, why performance moved, and what to do about it. We are hiring a Forward Deployed Marketing Analyst to join them. The Fast Facts Salary: $100,000 to $130,000 Location: NYC Midtown, 3 days per week in office AI Tools Budget: Unlimited. Use what makes you sharp. What You'll Do Own paid media strategy for multi-location and franchise clients, deciding what should run across Google, Meta, and programmatic and configuring it through the Eulerity platform Build durable campaign infrastructure that holds up across hundreds of locations, including tracking and measurement setup Diagnose why performance moved, separating real changes from tracking, attribution, and data pipeline artifacts Investigate when platform output does not match intent, and work with engineering to isolate whether the cause is strategy, configuration, or a bug Present performance, recommendations, and next steps directly to clients and internal stakeholders Reconcile numbers across Eulerity, the ad platforms, GA4, and client backends when they disagree, and determine which is right Become a go-to expert in Eulerity's platform to support execution, identify bugs, and guide internal users Lead and participate in new processes, features, and strategy tests What We're Looking For 3+ years of hands-on digital media buying in the US market, agency or in-house. You have personally built, launched, and optimized campaigns. Strategy, brand, or account management roles without direct account access do not count. Direct Google Ads and Meta Ads Manager experience. Not oversight of an agency that ran them, not a certification without the work behind it. You should be able to explain what a campaign structure decision does

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - Toronto or Vancouver About the Role: We’re looking for a People Business Partner - Tech to support our Engineering and Product teams. You believe strong culture and strong performance go hand in hand, and that neither happens by accident. You’ll partner closely with Engineering and Product leaders, managers, and their teams, bringing empathy, clarity, and sound judgment. We’re a fast-growing, globally distributed team, which means change is constant. This role is about helping leaders build effective teams, develop technical talent, and support employees t

Become a part of our caring community Humana is seeking a Lead Cloud Architect – NoSQL Databases to provide strategic leadership, architecture direction, and engineering oversight for enterprise NoSQL database platforms across Humana’s cloud environments. This role will focus on the design, implementation, modernization, and governance of NoSQL database solutions, including MongoDB, Azure Cosmos DB, Neo4j, and vector database technologies. The successful candidate will help define and advance Humana's enterprise NoSQL strategy, support platform rationalization initiatives, and ensure database solutions are secure, scalable, resilient, automated, and aligned with enterprise architecture standards. This role requires hands-on technical depth, strong cloud architecture experience, and the ability to collaborate across security, engineering, quality, application, and business teams. Key Responsibilities Develop, document, and maintain enterprise-wide NoSQL database standards, reference architectures, design patterns, and best practices. Lead architecture and engineering efforts for NoSQL platforms including MongoDB, Azure Cosmos DB, Neo4j, and vector databases. Support NoSQL platform rationalization and modernization initiatives, including migration planning and execution from Cosmos DB to MongoDB where appropriate. Architect secure, highly available, scalable, and performant NoSQL database solutions across cloud environments, including Azure and/or Google Cloud Platform. Define database architecture patterns for document databases, graph databases, key-value workloads, and vector search use cases. Guide application teams on NoSQL data modeling, partitioning, indexing, query patterns, performance optimization, and operational readiness. Oversee automation of NoSQL provisioning, configuration, monit