Atlas jobs

Senior Customer Success Manager - German Speaking Stuttgart MongoDB and Customer Success MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications. 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. Senior Customer Success Manager The Role As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You'll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You'll drive customer retention, revenue realization, and

Navigation and Autonomy Engineer Huntsville, AL posted: Posted 22 Days Ago

Senior Customer Success Manager San Francisco MongoDB and Customer Success MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications. 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. Senior Customer Success Manager The Role As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You'll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You'll drive customer retention, revenue realization, and long-term advocacy

Intelligence Specialist & Linguist US - DC, Washington posted: Posted 14 Days Ago

Senior Technical Program Manager Atlas Clusters Dublin; Ireland As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin for our hybrid working model, or remote within Ireland. The right candidate for this role will be: - Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs - Experienced with 10 years of Software development background, with Cloud storage and compute products - Experience with Service Oriented Architecture and Cloud Infrastructure - Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps - Skilled at communicating across a diverse set of engineers and stakeholders - Hyper-organized and capable of coordinating across multiple independent work streams and organizations - A role model for effective execution practices, driven by an attuned sense of priority and urgency - Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture - Trained in working with project tracking software (e.g. Jira, Rally, MS Project) - Familiar with MongoDB or a comparable technology - Interested in business automation work such as scripting in Python, Google Apps Script and Slack Position Expectations:

SAINT LAURENT Stage WW Merchandise Planning - Women’s RTW, SHOES and BUSINESS UNITS Paris, France

Customer Success Manager Austin; San Francisco MongoDB and Customer Success MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications. 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. Customer Success Manager 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

Azerbaijan - Voyage Program September 2026 - Room Operations Location not specified

Research Intern - MSR Software-Hardware Co-design Redmond, WA, US

Manager, Site Reliability Engineering - Storage Layer Service New York City MongoDB's Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today's Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You'll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB's cloud storage architecture. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities - Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers - Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs - Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges - Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment

Security Engineering Manager, Security Analytics and AI Research Seattle, Washington, USA Amazon Web Services is looking for an experienced Security Engineering Manager to join the Security Analytics and AI Research group within AWS Security Services. This group is entrusted with researching and developing core detection and machine learning algorithms for services such as AWS GuardDuty (https://aws.amazon.com/guardduty/) and AWS Security Hub (https://aws.amazon.com/security-hub/). On this team, you will lead engineers to invent and implement innovative solutions for never-before-solved problems. If you have experience with information security and a passion for large scale threat detection systems, this will be an exciting opportunity. This is an advanced engineering team that is using novel techniques to help customers detect and respond to threats across their cloud workloads. This role will specifically lead the security engineering team associated to GuardDuty, a service which continuously monitors AWS accounts and workloads for malicious activity using machine learning, anomaly detection, and threat intelligence. This role will collaborate closely with applied scientists and partner engineer teams to continuously improve threat detection across multiple data domains - including CloudTrail analytics, runtime monitoring, network traffic analysis, and AI workload protection. GuardDuty produces security findings aligned to the MITRE ATT&CK and ATLAS frameworks, therefore this role will also support the organization in advancing detection coverage and reducing false positives at scale. The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. We are building massively scalable and globally distributed security

Human Capital Business Partner - Associate New York, NY

Principal Machine Learning Engineer, Foundation Models Cambridge, MA We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Principal Machine Learning Engineer on the DriveWell Atlas team, you will be at the forefront of developing these next-generation AIs. You will lead innovative projects focused on designing, pre-training, fine-tuning, and deploying these AIs. Your work will directly contribute to enhancing our capabilities in risk assessment, driver engagement, and crash and claims processing. This role requires a deep understanding of modern AI methods, machine learning, physics-informed modeling, and experience with sensor data. We are not tweaking existing models for marginal gain. You will have an opportunity to build a first-of-its-kind LLM from petabyte-scale data. CMT is looking for a Principal Machine Learning Engineer, Foundation Models to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility - understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT. Responsibilities: - Use independent judgment and discretion to lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics - Develop and implement novel algorithms for modeling both automotive physics and human driving behavior - Pioneer advanced self-supervised learning techniques, including the design and implementation of

Mgr, CoE Supply Planning & Data (Sofia office) Sofia City,Sofia,Bulgaria

Data Architect - Data and Analytics 3 Locations posted: Posted 11 Days Ago

Research Engineer, Core ML San Francisco About the Role This is a research engineering role with direct production impact. You won't be publishing ideas in isolation-you will translate new RL algorithms, scheduling methods, and inference optimizations into production-grade systems that power Together's API. Success in this role means shipping measurable improvements in latency, throughput, cost, and model quality at scale. We are looking for researchers who enjoy owning systems end-to-end and turning frontier ideas into robust infrastructure. The Core ML (Turbo) at Together AI team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together's API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems-for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS-grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design. You'll work across the stack-from RL algorithms and training engines to kernels and serving systems-to build and improve frontier models via RL pipelines. People on

Ld Dir,Strategy & Bus De (IC) • Enterprise Strategy - Pharmacy Services 8 Locations posted: Posted 11 Days Ago

Consultant Data Immobilier - Paris Paris posted: Posted 28 Days Ago

Associate Technical Services Engineer II Dublin 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 interested in working out of our Dublin 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 (Tuesday to Saturday) 9am-6pm 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. 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.

Senior Analyst, Oracle Global Data Warehouse Szekesfehervar, Fejer, Hungary Senior Analyst, Oracle Global Data Warehouse

Technical Services Engineer, 2nd Shift California; Hawaii; Nevada; Oregon; Washington 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 achieve exceptional results for our customers. We are looking to speak to candidates who are based in Hawaii or near one of our West Coast offices for our hybrid or remote working models. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Second Shift, in which your working hours would be 12pm-9pm PST. We are looking to speak to candidates

Journeyman Data Architect 2 Locations posted: Posted 30+ Days Ago

Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) Montreal; Toronto MongoDB's Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today's Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You'll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB's cloud storage architecture. This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. The ideal candidate should - Have 6+ years of experience working on software development and operating distributed systems - Proficiency in Python, Go, or a similar language - Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. - Possess a customer-focused mindset - Value efficiency in processes and operations - Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil - Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource

Principal Data Engineer/ Technical Lead United States (Remote) Unqork empowers enterprises to accelerate growth by rapidly building, testing, and running applications that are designed to be AI-native. Trusted by the world's largest organizations in highly regulated industries, these applications become more secure over time while significantly reducing technical debt-allowing businesses to focus on innovation rather than maintenance. Unqork's customers include Goldman Sachs, Marsh, BlackRock, and the U.S. Department of Health and Human Services. At Unqork, we value inclusive and innovative thinkers who boldly challenge the status quo. We encourage you to apply! The Impact U will make: We're seeking an experienced Principal Data Engineer/ Technical Lead who is passionate about implementation and capable of writing high-quality application code In this role, your primary goal is to design and build the services, abstraction layers, and middleware that transform application data needs into specific, high-performance database operations and serve as a dynamic player-coach for our core data engineering squad. As a technical leader, you will directly impact system performance and latency issues that affect our enterprise customers while fostering an inclusive, high-performing engineering culture. Key Responsibilities - Act as a player-coach, providing technical direction, architectural guidance, and daily mentorship to a focused team of 3-5 engineers. Conduct thoughtful code reviews and foster professional growth within your squad. - Design and implement sophisticated Data Access Layers (DAL) and custom ODMs to translate platform-generated, SQL-like queries into high-performance MongoDB BSON operations and aggregation pipelines. - Build and maintain middleware that ensures Unqork's core business