Manager Technical Jobs

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM , Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As an Engineering Manager on Husky, you will lead one of a few closely collaborating teams that work directly on Husky’s internals. We own the full lifecycle of events stored by our Event Platform – whether it’s managing the ingestion of over 100 million events per second exactly-once , optimizing the persistence layer with lightning-fast compaction , tweaking our columnar format, timely deletion across hundreds of thousands of customer tables, or building the metadata service that enables hundreds of thousands of queries per second – you will be responsible for the growth and success of a team constantly meeting new scalability requirements driven by Datadog’s growing customer base and suite of products. 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: Manage a team of software engineers ranging from new grads to senior engineers, focusing on career development, inclusivity, and high impact Be a technical leader of the team; while the role may not involve frequent hands on coding, you’ll be reviewing architecture decisions, RFCs, and pull requests and ensuring what the team ships is high quality Partner with product teams to evaluate use cases, ensure smooth implementation, and prioritize new platform capabilities. Share on-call responsibilities with the rest of the team and ensure a culture of operational exc

As an Engineering Manager II at Datadog, you will own a significant portion of the Logs business — one of Datadog's largest and most strategic products, with major growth opportunities still ahead. Sitting at the table where strategy is defined, you will drive execution across a ~30-person engineering org at an exciting moment of product evolution where AI is pushing us to rethink how we handle observability data. This is a high-scope role for someone energized by hard problems, eager to grow at the intersection of business and engineering excellence, and driven to build a product that radically transforms how engineering teams around the world operate and resolve incidents. 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: Own the success of the Logs business for your scope — co-define the Logs technical roadmap and product vision with Product, Design, and peer leadership. You will blend an understanding of customers, markets, and revenue drivers with deep engineering rigor to deliver our core vision Act as a key collaborator across Datadog, building strong partnerships with platform and infrastructure teams to ensure a highly reliable, scalable and performant product. Invest in the next generation of engineering leaders — growing your managers, expanding their impact, and building a high-performing engineering organization where people continuously develop and thrive. Foster a culture of ambition and resilience — where people lean into hard problems

At Datadog we’re growing our community focused events Datadog Summits, DASH , and our in-office Meetups and User Groups , to enable us to deliver events, and content to our global audience. As we scale these programs we’re looking to hire a Program Manager on our Community team to support our content and advocacy team efforts across these events, and other sponsored events in the EMEA region. The Datadog Technical Advocacy teams are focused on our local user communities, and bringing our technical content directly to our customers globally. You’ll be responsible for planning and execution to deliver on regional events in EMEA, working across multiple teams at Datadog to ensure our event is high quality and a positive experience for our customers. 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: Planning and delivering technical programming for local and regional events, ensuring we are able to scale these sustainably Tracking deadlines and deliverables for our content and events, including digital and physical assets, and working with vendors and procurement teams as needed to ensure event success Identifying and resolving risks and blockers for our event programming Maintaining our internal tools and public website for event agenda and speaker content Owning our onsite speaker experience for both internal and customer speakers Managing event programming onsite, coordinating rehearsals, staffing, and ensuring smooth onsite operations Collaborate closely with our Community teams, external stakeholders, and the VP of Community Create and refine processes; maintain focus on continual improvements, automation and scaling Communicat

Individual Contributor JD: We are looking for an experienced Channel & Alliances sales professional to build and accelerate growth with our channel partners by identifying and recruiting new partners for long-term success as well as manage ongoing relationships with key strategic partners, including professional services partners and resellers. Our ultimate goal is developing alliances that drive both customer adoption and new revenue. This is a great opportunity for you to join a cloud software company and help blaze the path for our company's growth. What You’ll Do: Identify and recruit new strategic partners to drive revenue growth Enable and activate existing partners through training, enablement and joint selling Coordinate the technical and marketing aspects of integrated partnership launches Host quarterly 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: 5+ years of 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 Ability to quickly understand technical concepts and architectural scenarios, and explain them to others verbally and in writing Willingness to travel 25-50% of the time Bonus points: Experience with systems management or monitoring Experience with partnerships supporting DevOps, particularly in a cloud environment Technical background/education Entrepreneurial mindset with a passion for taking initiatives from ideation to impact Passion for fast-paced, sometimes unpredictable growth culture and environment Experience in identifying market opportunities with a track record of initiatin

Datadog's Application Performance Monitoring (APM) provides deep visibility into the health, performance, and lifecycle of modern distributed applications, tracing requests from end-user devices (web and mobile) through to backend services. Our goal is to help customers detect root causes faster, optimize application performance, and improve resource efficiency at scale. As the Engineering Manager for APM Serverless, you will help define and deliver the end-to-end serverless APM experience, from auto-instrumentation through troubleshooting, and ensure that OpenTelemetry and Datadog-native customers alike have a frictionless and performant journey. You will also lead efforts to expand coverage of cloud-managed services across providers, ensuring customers can seamlessly trace and monitor critical services in all major and emerging cloud environments. We’re looking for an experienced engineering leader who thrives at the intersection of infrastructure and developer experience. You should care about well-designed APIs, observability-first thinking, and building systems that empower other developers. This is a high-leverage role that will influence how developers across the industry understand and instrument their serverless workloads. 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: Lead a polyglot team of 8-9 engineers and partner closely with Product and Engineering teams across Datadog to deliver industry-leading serverless capabilities that power consistent, scalable, and intuitive instrumentation across languages. Drive a domain that is technically rich: Lambda, Azure Functions, GCP, OTel billing, Rust, durable functions, distributed tracing across managed services. Engineers on this team work

Today, organizations struggle to ensure their most important digital experiences are working as intended because observability data is scattered across products and siloed in logical layers of their technical stack. We're building the system that fixes this: Journey Monitoring, a single centralized hub that brings together Real User Monitoring (RUM), Synthetics, and Product Analytics to bridge the gap between system health and user success. You'd be building a product that establishes a new functional observability layer, enabling teams to auto-discover journeys, track conversions and uptime side-by-side, and trace root causes across their full stack without cross-team handoffs. What you'll do: Drive the product vision and roadmap spanning the Journey Monitoring hub, including the journey map, details reports, automatically inferred journeys, and cross-product data federation. Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers, and other PMs across the Digital Experience Monitoring (DEM) products. Deeply understand the needs of distinct key personas: SREs and engineers (who monitor uptime and troubleshoot technical performance), product managers (who track conversion and investigate behavioral drop-offs), and business leaders (who care about outcomes and revenue impact). Design the functional observability layer that makes end-to-end flow monitoring intuitive — including the auto-discovery of user journeys from real traffic, Experience Level Objectives (XLOs), and seamless Bits AI integrations for automated root-cause investigations. Define how behavioral data and technical data come together to automatically surface whether a drop in conversion is caused by a technical failure (like a breached SLO) or a behavioral friction point. Engage directly with early customers and internal dogfooding users to iterate on usability, refine the journey map, and optimize the cross-sell and up-sell paths for

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 data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development. MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure. We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week. Cool things you’ll do You’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll: Solve customer challenges across architecture, performance, recovery, and security Lead investigations from diagnosis to resolution, providing clear, actionable guidance Partner with Product Management and Engineering to advocate for customers and improve MongoDB Build tools, documentation, and training while mentoring peers and raising technical excellence What you need We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following: 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field Experience running complex, mission-critical production database systems Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS Ability

We're looking for a high-energy, detail-oriented, and hands-on individual to join the Revenue Team as a Senior Revenue Manager. This role will be based out of our Austin, Palo Alto or NYC office and will primarily be responsible for determining appropriate accounting treatment for new product offerings, analyzing and reviewing complex revenue transactions, continually refining our revenue recognition policies, providing direction on technical revenue accounting issues and articulating accounting impact to our business partners during product rollouts. In addition, this role will participate in month-end and quarter-end close activities and be responsible for leading and mentoring a small team remotely. To be successful, this individual must have the ability to adapt quickly, make decisions autonomously, operate effectively in a rapidly scaling, dynamic environment and align well with MongoDB’s core values. This is a great opportunity to join and grow with a strong accounting team at a high growth, enterprise software company! Team Description 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 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 forecasting activities for revenue and billings. This role will report directly to the Director of Revenue. Candidate Profile Bachelor's degree in Accounting (CA/CPA preferred) with at least 9+ years of experience in a similar role at public, high-growth SaaS or technology company Prior experience with revenue close operations and reconciliation process including working with sales data, customer contracts and product offerings Deep expertise in ASC 606 Experience in hiring, managing, and mentoring hi

About the team MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, as well as services such as Atlas , Cloud Manager, Compass to name a few. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor. Shift Information: We are looking to speak to candidates who are interested in working out of our Palo Alto, CA office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed Once considered ramped, they will transition to a permanent Wednesday - Sunday 8am-5pm work week (with 3 in-office days) to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do In this cross‑functional role as a Technical Services E

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all can

We are looking to speak to candidates who are based in Seoul for our hybrid working model. About the role MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers. As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales. Here are a few informative blogs about the Engagement Management role: https://www.mongodb.com/blog/post/engagement-management-mongodb-meet-lalitesh-pal https://www.mongodb.com/blog/post/how-engagement-managers-help-customers-succeed What you will be doing Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of work Partner with a best-in-class sales organization and work effectively as a part of a larger team to develop account strategies and plans for the successful adoption, growth, and utilization of MongoDB Have a solid sense of ownership, driving all deals or technical scopings from inception to closure Manage the Professional Services pipeline for bookings and revenue forecasts for your region Expertly articulate the business value of professional services, talking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and mitigating risks Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.) Wor

AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience org at MongoDB, we’re forming a brand new engineering team to make that happen, and we're looking for the founding Engineering Manager to hire the team, set the technical direction, and ship integrations into some of the fastest-moving open-source ecosystems in tech. In this role, you'll be close enough to the code to jump into exploratory work yourself while also building the team, process, and operational rigor to keep a growing integration portfolio healthy long-term. The new team will work mostly in Python and TypeScript while collaborating closely with client library teams and other engineering groups across MongoDB that deliver the underlying driver, platform, and product capabilities needed to support these integrations well. You’ll collaborate closely and move quickly with product, partners, field teams, the developer community, and open source project maintainers to ship where demand is real, deepen investment where adoption proves out, and evolve the portfolio over time as it becomes a critical part of MongoDB’s future in AI. MongoDB engineering teams pride themselves on building high-quality software and living our values every day. We value intellectual curiosity, intellectual honesty, customer empathy, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position expectations Work closely with recruiting to hire a team of Python and TypeScript engineers who will build and own MongoDB integrations across a broad AI framework ecosystem that includes technologies like Langchain, LangGraph, LlamaIndex, n8n, and Mastra Execute effectively in a fast-moving environment where priorities may shif

Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment. We are looking to speak to candidates who are based in Boston for our hybrid working model. The Role As a Customer Success Manager, you are the trusted advisor helping customers navigate their journey on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of accounts, acting as a strategic connector between your customers and the right resources at the right time to achieve their unique business goals. You’ll drive customer retention, revenue realization, and advocacy. You’ll build deep relationships, understand customer needs inside and out, and seamlessly navigate account team and internal resources to deliver real, measurable impact where your customers need it most. We're looking to speak with candidates based in Boston for our hybrid working model. Key Responsibilities Customer Advisory Proactively identify risks and ensure deployment health by advising on best practices and operational strategies. Deliver optimal solutions to critical customer challenges, accelerating time-to-value and guiding customers to achieve their business goals through their MongoDB deployments Conduct comprehensive customer business reviews, analyzing technical health and operational performance while translating insights into value-based outcomes. Partner with technical and business leaders to align on objectives and champion mutual success plans that foster growth and retention Account & Portfolio Management &l

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you’ll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource,