Research Engineer Intern Jobs

We're looking for a Product Designer who is excited by our mission of designing the future of teamwork. With millions of teams using Asana across the globe, our work has only just begun. Join us on a journey of driving clarity for teams, individuals and executives. As designers we are streamlining how teams get work done in a more efficient, effective and delightful way. You’ll make it as simple as possible for teams big and small to realize the value of Asana. The Coordinate team owns the workflows that sit at the heart of how organizations run: capturing work wherever it happens, and seeing it through to completion. We're building the experiences that users depend on today, while evolving them for a world where humans and agents execute together. When we get this right, Asana becomes the OS for human-agent teams: the place where critical work doesn't just get tracked, but actually gets done. About the Design team We design the future of teamwork. Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community. We’re a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We are a team that loves combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to the power of our applications. We partner with people across Asana to create our product, shape our brand, and drive greater impact through design. We use design to solve challenges and create experiences that customers love. We also take the time to get weird and have fun along the way. We believe every designer should have the opportunity to grow and learn by utilizing their strengths and nurturing their interests. This role is based in our Warsaw office with an office-centric hybrid

We are looking for a Recruiting Sourcer to play a key role in the continued growth and success of Datadog by finding exceptional talent. The Recruiting Sourcer will partner closely with Recruiters to develop creative and tailored strategies to engage passive candidates. You will be the first point of contact for new candidates in the hiring process, playing a critical role in identifying great candidates and telling the Datadog story. 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: Generate and maintain active and passive candidate pipeline for complex, hard-to-fill positions using various sources such as: LinkedIn Recruiter, Gem, Sourcing Campaigns, Google X Ray searching, previous event attendee lists, etc.. Amplify and champion job openings internally and work with our employee base to find hidden talent in their networks. Develop and implement strategic sourcing plans and track progress throughout the search to be shared with stakeholders Use your own research to get creative on where to find talent that otherwise might stay off the radar including diverse talent Map out the talent market, keeping a pulse of talent flow, market attrition, and which companies employ the talent we are after Specialize in event/project management, messaging analysis, creative prospecting, and stakeholder engagement Who You Are: An established Recruiter or Sourcer with 3+ years of experience working for a search firm or in-house recruiting team for high volume recruiting An individual with a high sense of urgency, strong communication skills and detail-oriented Tenacious and passionate about sourcing and engaging candidates Able to work independently and simultaneously on multiple roles An individual with a proven track record of engaging ta

Datadog SQL (DDSQL) and Sheets are two of the newest products within Graphing, Datadog’s most-used product area. Together, they give customers flexible ways to query, combine, analyze, visualize, and share data across Datadog. This role owns the product direction and user experience for both products. Your goal is to help users move from raw data to trustworthy answers quickly—whether they prefer writing SQL, working in a spreadsheet, or building visual analyses. Doing this well requires more than adding analytical features. Real-world analysis involves nuanced decisions about data models, joins, aggregations, time windows, missing data, query performance, and the transition from exploration to reusable work. You’ll work closely with design and engineering to make these capabilities understandable without limiting their analytical power. You’ll also help expand the data customers can analyze in Datadog, including third-party and business data alongside operational telemetry. This will make DDSQL and Sheets central analytical tools for a broader range of questions and users. What you'll do: Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows Use product analytics and customer research to identify friction, improve onboarding, and measure whether users are reaching useful answers faster Define the experience for querying, transforming, visualizing, and sharing data, from query composition and results exploration to errors, performance feedback, and collaboration Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs Redesign how users discover and get started with Graphing products: rethink list pages, build onboa

As an Account Executive on our Mid-Market Sales team (targeting customers 1,000 to 5,000 employees in size), you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders & partner ecosystem, identify the customer's unique needs, and clearly convey the value of the Datadog solution. Mid-Market AE’s have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. 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: Focus entirely on net-new logo acquisition Manage the full sales cycle, including negotiations and on-site technical demonstrations Identify robust set of business drivers behind all opportunities Develop a deep comprehension of customer's business Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps) Multi-thread into different departments of a complex organization Collaborate with Sales Development Representatives, Partners, & Marketing to drive top of funnel activity Apply modern sales strategy with real time signals and research using tools Sales Navigator & Demandbase 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’re passionate about technology and want to grow your experience, we encourage you to apply. Who You Are: Curious and motivated to understand emerging technologies and how they intersect with core business drivers. Experienced in hunting, strategically mapping and breaking into net new logos Strong Pipeline Generation skills, bold in front of customers

Datadog is seeking an Analyst Relations Principal to help shape and scale our global Analyst Relations (AR) program. In this role, you will lead strategic engagement with industry analysts across observability, AI, and adjacent cloud technologies, ensuring they have a clear understanding of Datadog’s platform, innovation, and long-term vision. You will partner closely with Product Management and Product Marketing to translate complex technical capabilities into compelling narratives, while bringing analyst insights back into the business to inform strategy and positioning. This is a highly cross-functional role that blends strategic thinking with operational excellence and offers strong visibility across senior leadership. 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: Develop and drive the global analyst relations strategy across Datadog’s observability and AI portfolio Build and maintain trusted relationships with key analysts across firms such as Gartner, Forrester, and IDC Partner with Product Management and Product Marketing to craft clear, differentiated narratives aligned to market trends Lead strategy, preparation and execution of analyst evaluations and research cycles, ensuring high-quality submissions Prepare senior leaders for analyst briefings with structured messaging and executive-ready materials Synthesize analyst insights into actionable recommendations for product strategy and go-to-market alignment Who You Are: 8+ y

As an Account Executive on our Mid-Market Sales team (targeting customers 1,000 to 5,000 employees in size), you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders & partner ecosystem, identify the customer's unique needs, and clearly convey the value of the Datadog solution. Mid-Market AE’s have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. 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: Focus entirely on net-new logo acquisition Manage the full sales cycle, including negotiations and on-site technical demonstrations Identify robust set of business drivers behind all opportunities Develop a deep comprehension of customer's business Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps) Multi-thread into different departments of a complex organization Collaborate with Sales Development Representatives, Partners, & Marketing to drive top of funnel activity Apply modern sales strategy with real time signals and research using tools Sales Navigator & Demandbase 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’re passionate about technology and want to grow your experience, we encourage you to apply. Who You Are: Curious and motivated to understand emerging technologies and how they intersect with core business drivers. Experienced in hunting, strategically mapping and breaking into net new logos Strong Pipeline Generation skills, bold in front of customers

As a Senior Product Manager for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production. 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 and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations Define and track success metrics such as product adoption, usage, and impact on customer security workflows Who You Are: &l

The Documentation team creates engaging and informative technical content, particularly our public product documentation: Datadog Docs . This is an opportunity for a Documentation Manager to help us deliver high quality technical documentation and lead one of our growing documentation teams. Our team is hands-on with the technologies that Datadog monitors, and collaborates with technical and product teams to create technical documentation for our APIs, SDKs, developer and security tools, and community developed integrations — thousands of pages of content! This role is remote in North America. What You’ll Do: Manage 3-5 technical writer direct reports, overseeing their day-to-day, helping them make and manage effective content project plans, formally supporting their growth and development, and fostering an environment that encourages positive engagement and performance. Partner with our Product and Engineering teams to create and maintain public documentation for users, developers, and SREs, helping them succeed with Datadog products, features, SDKs, APIs, and developer tools. Experiment with the product, dig into source code, and interview subject matter experts to research technical details for documentation. Collaborate with our contributor community and greater Documentation team to develop and improve documentation standards and processes. Who You Are: You have 5-10 years experience researching and developing documentation for technical topics, like databases, APIs, cloud infrastructure, and performance and security monitoring. You have 2-5 years experience managing a small team of technical writers, coaching their performance, guiding their career journey, and breaking down complex projects into achievable plans. You have publicly available technical writing samples. You are comfortable reading at least two programming languages (e.g. Ruby, Python, Go, bash). You have written or managed documentation as code, and are familiar with modern infrastructure such a

Datadog’s Product Analytics suite spans Product Analytics, Session Replay, Feature Flags, and Experimentation. Together they give product teams a complete, quantitative and qualitative picture of how users experience their applications, plus the tools to release, measure, and improve those experiences with confidence. Our team of Applied Scientists makes this space smarter and more autonomous, researching, prototyping, and industrializing AI/ML capabilities that make the suite proactive and agentic by default: AI-driven event understanding and instrumentation, conversational analytics, automated insight reporting, and UI/UX issue detection from session replays. The ambition is to let product teams act with autonomy, moving from question to insight to safely released change without depending on engineering or analysts. As the Engineering Manager for this team, you’ll lead a team of Applied Scientists through an early-stage, high-impact opportunity: defining the team’s technical vision, growing its footprint, and shaping how AI capabilities get built and delivered across the suite. This is greenfield work, both in the R&D itself and in the team you’ll grow around it. 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 grow a team of Applied Scientists researching, prototyping, and industrializing AI/ML capabilities across the suite Define the technical vision and roadmap for the suite’s agentic and proactive AI/ML capabilities: event understanding, conversational analytics, insight reporting, and session-replay issue detection Stay hands-on as a technical contributor and reviewer, helping the team move from research prototypes to production-grade capabilities Shape how AI capabilities get built and delivered across the suite, partnering closely wi

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 performance You are excited to work on

We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partn

We are hiring a Senior Technical Product Marketing Manager to lead positioning and messaging and to grow adoption of MongoDB Search and Vector Search as foundational components of our platform – the retrieval layer powering the next generation of grounded AI applications and agents. This is a high-impact role for a marketer who thinks like a builder. As developers architect increasingly sophisticated systems – RAG pipelines, agentic workflows, multi-modal search experiences – retrieval has moved from an implementation detail to a core design decision. You’ll join a high-performing, globally distributed team and partner closely with Marketing, Builder Relations, Product Management, Engineering, Partners, and Sales to develop, measure, and achieve cross-functional goals. The role requires technical depth in information retrieval — lexical and vector search, hybrid approaches, embeddings, re-ranking, agentic retrieval loops, and the tradeoffs that matter in production systems — paired with the product marketing instincts to turn that depth into crisp, differentiated messaging for distinct user and buyer personas. Hands-on experience building or shipping AI-enabled products is a strong advantage. Individuals with prior experience in technical sales, developer relations, or technical marketing are encouraged to apply. This person is a voracious consumer of AI research and pays close attention to shifting patterns in application architectures and development, including agentic systems. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. We are looking to speak to candidates who are based in the US for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as a strategic partner for high-impact initiatives that align with MongoDB’s long-term business goals in collaboration with Marketing, Developer Relations, Product

We're looking for a high energy, detail-oriented and hands-on individual to join the Revenue team as a Senior Specialist 2. This is a brand new role created to support the company's growth and will be based out of our Gurugram office.This individual will be required to assist in leading all revenue operations processes consisting of month end close, booking entries to the general ledger, reviewing sales transactions in our ERP system for completeness and accuracy, and revenue and deferred revenue account reconciliations. This is a great opportunity to join and grow with a strong accounting team at a high growth, enterprise software company! The Revenue team is an extremely visible, high-performing team, ultimately responsible for accurate financial reporting of revenue. The team is responsible for managing the monthly close, contract negotiation and documentation and determining appropriate accounting treatment for our product offerings. Additionally, this team is responsible for designing and maintaining controls over reporting of revenue and assisting in quarterly revenue forecasting activities. This role will report directly to the Manager of Revenue. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Candidate Profile Bachelor's degree or equivalent in Accounting (CA/CPA is a plus) with 5+ years of experience in a similar role within a global revenue accounting team Knowledge of revenue operations, revenue recognition and reconciliation process Prior experience working with sales data, customer contracts and product offerings Intermediate to advanced in MS Excel & experience working with large volumes of data Previous experience in Software/SaaS industry Knowledge of ERP and CRM systems (NetSuite, Salesforce) Proficient knowledge of US GAAP and ASC 606 Experience working in a SOX-controlled environment Strong analytical, research, and problem solving skills Acute attention to detail and well developed or

The Compensation team serves as a strategic advisor to business leaders, managers, and employees across MDB. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Customer organization and cross-functional partners including Recruiting, Finance, Legal, HR Partners This role can be based out of of our offices or remotely in the United States. The Difference You Will Make: We are looking for a Senior Compensation Partner to serve as the dedicated compensation partner for the Product and Technology organization. This role will support Executive, VP and Director level leaders and their HRBP Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, and tools, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Product and Technology organization, supporting senior leaders, HR Directors, and People Partners across customer divisions Act as the primary point of contact for new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests Own compensation cycle execution for customer client groups end-to-end, including market benchmarking, budget modeling, manager enablement, and leadership rollups Lead competitive intelligence for roles by conducting market research on compensation trends, pay practices, and talent movement, particularly important in the new AI competitive landscape Develop benchmarking methodologies that supplement traditional survey data with recruiting signals, offer data, and other real-time market sources Partner with Recruiting and People partners to provide market in

An Account Development Representative at MongoDB is the starting point for building a serious career in technology sales. This role is the foundation of our sales organization. You will partner closely with Account Executives to identify new opportunities within strategic accounts, helping drive meaningful pipeline and long-term customer growth. From day one, you will learn and apply structured sales frameworks including MEDDIC qualification, account mapping, multi-threading strategies, and value-based discovery. You will develop technical fluency across modern application architectures, cloud infrastructure, and database technologies, gaining real exposure to how complex software solutions are positioned and sold. ADRs at MongoDB do more than generate meetings. They help shape early deal strategy, apply MEDDIC principles to qualify real business problems, and stay engaged through the scoping phase to maintain strong deal momentum We invest heavily in structured onboarding, ongoing enablement, and consistent 1:1 coaching. Our ADR team is one of the primary talent pipelines into Account Executive and other revenue roles across MongoDB, with clear, performance-based progression paths. We believe skill development accelerates when teams collaborate in person. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do Own outbound prospecting within a defined set of strategic accounts, working closely with your aligned Account Executives and Sales stakeholders Research organizations to uncover new initiatives and opportunities where MongoDB can add value Execute thoughtful outbound outreach across phone, email, and social channels to generate qualified pipeline Lead structured discovery conversations to understand business priorities and technical environments Apply MEDDIC qualification principles to ensure high-quality opportunities before advancing them Stay engaged through the early stages of t