Expo Jobs

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We're defining a new category of technology as the human agent operating system by inventing new ways for teams to work together more efficiently. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here, from strategy to product to process improvements, by conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. We are looking for an experienced Product Manager to join our Enterprise Data Governance team. Our team owns the strategic platform capabilities that govern the full lifecycle of customer data, including retention, migration, auditing, export, and operational governance. We are foundational to Asana's enterprise success, providing the controls and policy frameworks that allow large organizations to meet complex regulatory requirements and securely adopt AI. As a Product Manager here, you will bridge the gap between technical infrastructure and enterprise customer needs, partnering closely with Engineering, Security, Legal, and Design to reduce operational burden and build the governance foundation that helps people and AI agents collaborate safely at scale. This is a high-impact role at the intersection of enterprise trust, regulatory compliance, and platform strategy, directly driving Asana’s growth in highly regulated industries. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams wit

We are the Experimentation team at Datadog, a startup operating inside one of the fastest-growing companies in software. The team brings together engineers who joined through Datadog’s May 2025 acquisition of Eppo with engineers from across Datadog, and together we are building feature flagging and experimentation into the platform. Both products were recently launched this year, and we are just getting started: we are migrating customers from Eppo onto Datadog while shipping an ambitious roadmap across both flagging and experimentation. Our statistics engineers hold PhDs and are pushing the boundaries of what an experimentation platform can do. Our full-stack engineers move fast, lean on the latest AI tooling, and prototype and ship new features weekly. We talk to customers directly to shape requirements, and our roadmap is driven by our own product vision and sharpened by real customer and sales input. We are looking for an Engineering Manager to lead the team building the Experimentation App. You will own one to two squads to start, partnering closely with our engineers, statisticians, product managers, and designers to turn a deep roadmap into a shipped product. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. What You’ll Do: Lead, mentor, and grow a team of strong full-stack and frontend engineers. Help them grow to the next level and continuously provide them opportunities to develop. Own delivery for the Experimentation App from planning through production, balancing speed with quality in a fast-paced environment. Set technical direction in partnership with your team and our statistics engineers, engaging credibly on architecture and tradeoffs. Partner with Product, Design, and customers directly to shape requirements and turn customer and sales input into roadmap. Foster a culture of fast iteration and high engineering standards through code reviews, design reviews, and blamele

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t

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: 6+ years of experience 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 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. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. Datadog values peo

We are looking for an experienced Partner Sales Manager to ignite partnerships by identifying and recruiting new partners for long-term success and nurture ongoing relationships with key strategic Global Systems Integrator partners. Our ultimate goal is building channels and alliances that drive new customer adoption and revenue. This is a great opportunity for you to join a high-growth cloud software company and help blaze the path for our company's expansion. 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: Identify and recruit new strategic Global SI partners to drive revenue growth Enable and activate existing GSI partners through training, planning and joint selling activities Coordinate the technical and marketing aspects of integrated partnership launches Host regular business reviews with partners to drive accountability and report on success metrics Work hand-in-hand with Datadog’s regional enterprise and commercial sales organizations Generate partner-sourced net-new sales pipeline and revenue Who You Are: 10+ years of partner-facing, quota-carrying experience in business development, strategic alliances, or channel sales at a cloud services or software as a service organization Proven experience in driving sales opportunities from lead generation to closure, effectively negotiating agreements and building long-lasting partnerships Understanding of, and exposure to working with, the leading Global and regional SIs Ability to quickly understand technical concepts and architectural scenarios, and explain them to others verbally and in writing Willingness to travel 40-50% of the time Bonus Points: 10+ years of partner-facing, quota-carrying experience in business development, strategic alliances, or channel sales at a cloud servic

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI 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 roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

We are looking for an experienced Partner Sales Manager to ignite partnerships by identifying and recruiting new partners for long-term success and nurture ongoing relationships with key strategic Global Systems Integrator partners. Our ultimate goal is building channels and alliances that drive new customer adoption and revenue. This is a great opportunity for you to join a high-growth cloud software company and help blaze the path for our company's expansion. 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: Identify and recruit new strategic Global SI partners to drive revenue growth Enable and activate existing GSI partners through training, planning and joint selling activities Coordinate the technical and marketing aspects of integrated partnership launches Host regular business reviews with partners to drive accountability and report on success metrics Work hand-in-hand with Datadog’s regional enterprise and commercial sales organizations Generate partner-sourced net-new sales pipeline and revenue Who You Are: 10+ years of partner-facing, quota-carrying experience in business development, strategic alliances, or channel sales at a cloud services or software as a service organization Proven experience in driving sales opportunities from lead generation to closure, effectively negotiating agreements and building long-lasting partnerships Understanding of, and exposure to working with, the leading Global and regional SIs Ability to quickly understand technical concepts and architectural scenarios, and explain them to others verbally and in writing Willingness to travel 40-50% of the time Bonus Points: 10+ years of partner-facing, quota-carrying experience in business development, strategic alliances, or channel sales at a cloud servic

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI 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 roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

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 Legal team supports Datadog’s rapid growth by providing a wide range of legal services across a highly dynamic technology company, from driving new business via contracts and compliance efforts, to protecting Datadog’s offerings. Datadog’s Legal team collaborates with virtually every team across the organization, from engineering to product to marketing. Within Legal, the Commercial, Alliances & Procurement team focuses on all commercial engagements, channel and alliances agreements, procurement matters, and related legal topics across Datadog’s global footprint. We are a collaborative, people-first team that values acting as trusted advisors, communicating clearly, embedding inclusion, and holding ourselves accountable. This role offers the chance to play a critical part in the success of a rapidly growing and innovative SaaS company in APJ, with a particular focus on our India and South East Asia regions. You will lead complex negotiations with Indian and South East Asia customers and partners and serve as a trusted advisor to internal stakeholders with a strong focus on the India region as our business rapidly expands in that region. The position requires someone who can negotiate complex agreements with Indian customers, have deep expertise in navigating the legal regulatory landscape in India and South East Asia while also supporting broader APJ commercial activity. You will also have the opportunity to influence and refine Datadog’s contracting and compliance approach across these fast-evolving markets. The role involves close collaboration with cross-functional teams including Sales, Deal Desk, Procurement, and Privacy. You will be expected to provide strong, practical solutions that balance legal risk with business objectives. This position will also give you exposure to cutting-edge SaaS technology areas such as privacy, security, and AI, allowing you to stay at the forefront of the industry. At Datadog, we place value in our office culture -

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

About Voyage AI Team at MongoDB Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions. Position Overview We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Responsibilities Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers Innovate in next-generation information retrieval and LLM agent paradigm Collaborate closely with other research scientists and research engineers as well as peers across the organization Qualifications PhD degree in Computer Science or related field Strong background in machine learning, deep learning, and natural language processing Familiarity with training distributed training of neural networks for language and visual understanding What We Offer Opportunity to work on real-world problems at the cutting edge of AI research Opportunity to utilize research vision to innovate the entire company and make real-world impact Exposure to the full lifecycle of AI model development, from research to production Our compensation (base + equity) for this position is competitive with frontier AI labs About MongoDB

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate for this role will have 6+ years of engineering experience in backend systems, distributed systems, or core platform development. Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning. Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) Exposure to client-side technologies such as JavaScript and React is a plus Good understanding of algorithms, data structures and their time and space complexity Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and wri

MongoDB is transforming the $138B+ data management software market by empowering developers to build the next generation of applications. As the leading modern data platform—and the first database company to IPO in over 20 years—we're at the forefront of innovation. We are seeking a driven, experienced commercial attorney to lead and scale our U.S. Public Sector and government contracting business. Operating in a fast-paced, high-growth environment, you will serve as the primary legal partner for our public sector sales ecosystem, managing complex transactions and ensuring strict regulatory compliance. This role can be based out of our US offices or remotely in the United States. Core Responsibilities & Requirements End-to-End Deal Execution: Draft, structure, and negotiate high-value public sector and commercial transactions, including SaaS, cloud licensing, professional services, and subcontracting agreements Public Sector Compliance: Provide expert guidance on U.S. and international government procurement laws, including FAR/DFARS frameworks, GSA schedules, and FedRamp requirements, and support ongoing development and refinement of public sector compliance program Strategic Sales Advisory: Advise cross-functional teams throughout the public sector sales lifecycle, from initial RFP evaluations and proposal risk assessments to handling audits or disputes Operational Scalability: Build, refine, and maintain legal playbooks, contract templates, and training modules to streamline negotiations and empower sales teams Regulatory Monitoring: Stay ahead of evolving technology laws, government contracting regulations, and government and defense related export controls to provide proactive, actionable risk mitigation strategies Cross-Functional Collaboration: Work cross-functionally to launch new programs to support growth of commercial and public sector businesses Requirements: 8+ years of US public sector transactions experience, preferably at a law firm a

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition. We are looking to speak to candidates who are based in Singapore for our hybrid working model. Responsibilities Proactively prospect, identify, qualify and develop a sales pipeline Close business to meet and exceed monthly, quarterly and annual bookings objectives Build strong and effective relationships, resulting in growth opportunities Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs Work closely with the Professional Services team to achieve customer satisfaction Requirements BA/BS required 8+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus in Indonesia Strategic account Must be fluent in Behasa Demonstrated ability to articulate the business value of complex enterprise technology A track record of overachievement and hitting sales targets Skilled in building business champions and running a complex sales process Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus Driven and competitive: Possess a strong desire to be successful Skilled in managing time and resources; sound approach to qualifying opportunities Possess aptitude to learn quickly and establish credibility. High EQ and self-aware Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products Ability to present & excellent listening skills Daring selling approach | consultative selling Strong exposure to handling the assigned Market Trac