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About the Team We’re looking for a Senior University Recruiter to help us identify and attract top-tier early career talent to join our Engineering and Design teams. For the first time, our global organizations of DoorDash, Wolt, and Deliveroo will be joining forces for one unified, global internship program and you would be on the forefront of building what this strategy looks like for a global team. From building relationships with universities to advising on the interview processes, being a part of headcount conversations to planning events and running performance review cycles, you will help build the foundations of this program making it something that can scale and grow each year. About the Role Your impact will go beyond filling roles; you’ll shape how we approach hiring from how we define what ‘great’ looks like in an engineer. You’ll play a key role in how we build diverse talent pipelines and create a seamless experience for every candidate and intern throughout the program. You’ll be the bridge between us and top university talent, helping DoorDash continue to invest in, build, and grow the next generation. This role sits within our Engineering Recruiting team and reports into the Recruiting Manager for Global University Recruiting. It will be based in San Francisco, CA. You’re Excited About This Opportunity Because You Will… Manage full-cycle recruitment for all technical intern and new grad hiring roles across the US Identify, engage, and maintain relationships with high-potential candidates, partnership organizations, and universities Build diverse talent pipelines, and run smooth, efficient processes from first conversation to final offer Embed DE&I principles into every stage of the process from diversifying sourcing channels to reducing bias in assessment and ensuring diversity in interview panels. Build and streamline interview processes and workflows ensuring we’re iterating and adjusting as we scale and grow Train interviewers and coach

Who are we? Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’ Vibrant inclusive culture of mutual respect and fun through both work and play Engagement Manager – Life Sciences Consulting (Management Consulting Team, India) Roles and Responsibilities: Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives Independently liaise with customers and convincin

Datadog is looking for a Senior Director of Product Marketing to lead product marketing across Application Performance Monitoring (APM), Digital Experience Monitoring (DEM), and Developer Tools. You will lead the teams responsible for defining how these products compete, go to market, and grow. As a second-line leader, you will turn product strategy, competitive intelligence, market dynamics, customer needs, and product maturity into focused, full-funnel marketing strategies. This is an opportunity to own Product Marketing for three of Datadog’s fastest-growing product areas while helping define a new category we are entering. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and develop the Product Marketing organizations responsible for APM, DEM, and Developer Tools, coaching people managers and building high-performing teams capable of scaling with the business. Own portfolio-level product marketing strategy across three distinct businesses, using market, customer, competitive, funnel, and financial insights to identify growth levers, prioritize investments, and establish clear strategies to win. Partner with C-level executives and senior Product, Sales, and Marketing leaders to shape major product narratives, influence go-to-market priorities, and align product positioning with Datadog’s broader platform strategy. Set the go-to-market direction for each product line, determining the right mix of launches, campaigns, content, customer programs, sales enablement, and other marketing tactics based on product maturity, audience, business objectives, and performance data. Build a deep understanding of complex technical products, customers, and markets so you can challenge assumptions, strengthen positioning, guide teams through technical narratives, an

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have exper

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have exper

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you

We're building a new product team in India to help shape how customers build, deploy, and operate AI applications on MongoDB. This is an early hire on a growing team—you'll join while the team is still taking shape, with the opportunity to have real impact from the start. You'll report to a Director of Product Management based in Europe, working async-first with partners across India, EMEA, and North America. The engineering team in India is being built in parallel, so you'll be working closely with engineers from the early days of the team. We are looking to speak to candidates based in Gurugram for our hybrid working model. What you'll own You'll be the end-to-end owner for a core area of our AI application platform—from discovery and vision through roadmap, delivery, and iteration. This is a senior individual contributor role where you lead through ownership, expertise, and cross-functional influence. Day to day, that means Defining product strategy and roadmap for your area, aligned with MongoDB's broader AI strategy and business goals Talking to customers — from AI-native startups to large enterprises — to understand how they build and deploy AI applications, where they struggle, and what MongoDB should do about it Writing clear product narratives, memos, and specs that align stakeholders, clarify trade-offs, to guide conversations with engineering, design, product marketing, etc Partnering with cross-functional stakeholders—including Engineering, Design, Product Marketing, Partners, Sales, and Developer Relations—to scope, prioritize, and ship, balancing experimentation with reliability and scale, and driving positioning, launches, and enablement Identifying new opportunities autonomously—spotting gaps, shaping problem spaces, researching industry trends and running discovery sessions with customers Define and own clear success metrics for your area and use them to prioritize, make trade-offs and communicate impact You'll develop deep expertise in how companie

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go,

We are seeking a highly technical and strategic Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. NVIDIA is seeking a senior Developer Relations leader to accelerate the integration of NVIDIA technologies across the Energy & Utilities ecosystem in EMEA. This role will focus primarily on the electric power and utilities industry , working with leading software vendors, technology partners, utilities, engineering companies, and energy infrastructure providers to help integrate NVIDIA accelerated computing, AI, simulation, digital twin, and edge technologies into industry software platforms and solutions. The ideal candidate combines strong energy industry domain expertise , technical depth, partner engagement experience, and the ability to identify and develop strategic opportunities with Independent Software Vendors (ISVs). Approximately 80% of the role will focus on utilities, electrical power systems, grid software and related ISVs , with approximately 20% supporting Oil & Gas and adjacent energy applications . What You'll

We are seeking a highly technical and strategic Account Manager, Developer Relations to join our team, with a focus on engaging software companies and developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with a small, strategic set of software solution providers (and their developers) to champion the adoption of NVIDIA’s advanced AI and computing platforms. Your mission is to partner with software companies to build AI agent-powered tools and integrate AI into their products making use of the NVIDIA platform, including open models and software frameworks and libraries. The ideal candidate brings a blend of deep technical expertise, experience in technical account management, and combines these with a passion for developer advocacy, business development and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing Establish relationships (both technical and business) at every level with a small set of strategic, regionally important software companies, and develop and implement a strategy to integrate the NVIDIA platform into these company’s products. Develop and maintain deep technical expertise in agentic AI systems, open models, data science applications, and GPU-accelerated computing. Serve as the trusted technical advisor, problem solver, and champion for the developers within the software companies you support, collaborating with cross-functional partners to drive adoption of NVIDIA technologies. Accelerate critical software company workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, open models, NIMs, and blueprints) into partner products, platforms, and pipelines. Guide partners through onboarding and integrati

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. At least 5+ years of professional experience in networking fundamentals, Ethernet or InfiniBand World. Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS, etc. Possess solid working knowl

The Technical Solutions (TS) Enablement team empowers Datadog's global post-sales organization—including Support, Customer Success, and Sales Engineering—with the skills, tools, and resources they need to deliver world-class customer outcomes. As a Senior TS Enablement Program Manager supporting Sales Engineering , you'll own the design and execution of complex, high-visibility enablement programs that drive lasting change across the TS organization. You'll operate with significant autonomy, lead cross-functional initiatives, and serve as a senior voice within the Enablement team—partnering closely with leadership to translate business priorities into measurable enablement impact at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the end-to-end strategy and execution for complex, global enablement programs—managing multiple concurrent workstreams across regions, functions, and timelines with limited guidance. Lead cross-functional stakeholder relationships with senior partners across StratOps, Product, TS Leadership, and the People Team—negotiating scope, aligning on priorities, and driving accountability without positional authority. Translate business goals and OKRs into multi-quarter program roadmaps; communicate priorities, trade-offs, and progress to leadership with clarity and a clear point of view. Design and implement comprehensive metrics frameworks to measure change adoption and program effectiveness; pull and analyze Salesforce and LMS data to track performance against KPIs; present findings to senior stakeholders and iterate for lasting impact. Build and deliver executive-ready materials that tell a compelling business story—translating complex data, program updates, and regional insights into structured narratives with clear

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. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready data products. This is not a role for someone who executes tickets. You will design and build the data infrastructure that powers internal decision-making and external product capabilities, working at the intersection of data engineering, platform thinking, and stakeholder alignment. You will own complex technical decisions, set the bar for data quality and governance, and contribute to a data platform that scales with the business. The person we are looking for combines engineering rigour with pragmatic judgement — someone who can solve for today while building for the future, and who raises the standard of the teams they work within. AS A SENIOR DATA ENGINEER AT SNOWFLAKE, YOU WILL: Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices c

Senior React Native Mobile and Full Stack Developer Description - We are seeking a highly skilled Senior React Native Mobile and Full Stack Developer to design, develop, and maintain secure, scalable, enterprise-grade mobile applications for iOS and Android , as well as the cloud services and APIs that support them. The ideal candidate brings extensive experience building production-ready cross-platform mobile applications with React Native , combined with strong backend and cloud development expertise using object-oriented programming languages such as C#, Java, Python, or Go to deliver secure, end-to-end solutions. This role requires deep expertise in mobile authentication , secure storage , offline-first architecture , data synchronization , push notifications , GPS/location services , and mobile security best practices , as well as experience designing and developing RESTful APIs , integrating with cloud platforms such as Microsoft Azure, or AWS , and building scalable backend services. You will work closely with Product Managers, UX Designers, Security Architects, Backend Engineers, and QA teams to deliver high-quality, mission-critical mobile solutions used by enterprise customers worldwide. The ideal candidate is a hands-on specialist who is passionate about building high-quality software, driving architectural decisions, mentoring engineers, and delivering reliable, secure, and performant mobile experiences across the full technology stack. Key Responsibilities Design, develop, and maintain secure, scalable, and high-performance cross-platform mobile applications using React Native for both iOS and Android . Design, develop, and maintain backend APIs , cloud services, and supporting infrastructure that