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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Backend Engineer - Database Change Management An overview of this role As a Senior Backend Engineer, Database Upgrades, you'll help replace GitLab's sequential database migration system with a dependency graph model that makes upgrades faster and safer for GitLab.com and self-managed customers. You'll lead the design and delivery of a migration validation and test framework, including versioned fixture data across about 1,000 tables, a continuous integration (CI)-integrated test runner, and required correctness checks. You'll also serve as the senior technical anchor for our India-based engineering group, using clear writt

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for a Senior AI/ML Engineer who lives at the intersection of two disciplines: large-scale distributed systems and applied AI. In this role you will design and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll own the full lifecycle, from framing the problem to serving reliably at scale. We are looking for a candidate who is genuinely passionate about building with modern AI — LLMs, agents, and retrieval — but grounded in the realities of building resilient, high-throughput systems. What you’ll do Design and build AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time event streams, from problem framing through production deployment and monitoring. Architect and own the systems behind them: agent and prompt orchestration, retrieval pipelin

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Analytics Instrumentation is part of the Data Engineering and Monetization (DE&M) group, focused on the collection of Product Usage and Billing event data within GitLab. We build data collection platforms that enable product teams to assess user behavior and make evidence-based choices through privacy-conscious instrumentation that captures product usage throughout the user lifecycle. As a Senior Backend Engineer, you'll guide the design and development of a unified data infrastructure platform that consolidates analytics instrumentation across GitLab's engineering organization. You'll build and maint

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Observability, Monitoring, and Integrations team sits within GitLab's Monetization section. As a Senior Backend Engineer on the Monetization Platform Integrations team, you'll design, build, and maintain the integrations that connect CustomersDot and Monetization services to GitLab's enterprise applications, including Salesforce and Workato. You'll own robust application programming interface (API) contracts, protect data integrity across systems, and build resilient cross-platform workflows that underpin how customers buy, provision, and renew GitLab. Because these integrations move financial and sub

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Backend Engineer, Monitoring and Anomaly Detection (Monetization) An overview of this role The Observability, Monitoring, and Integrations team sits within GitLab's Monetization section and owns end-to-end observability, monitoring, and detection across the systems that power how customers buy and use GitLab. As a Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll build and operate telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they affect revenue or the customer experience. This is a greenfield tea

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Backend Engineer - Platform Insights An overview of this role As a Senior Backend Engineer in Platform Insights, you'll build and evolve the core backend systems that power GitLab's data platform. In this role, you'll focus primarily on Go-based development for the Data Insights Platform and Siphon, with an emphasis on core system design, production readiness, and deployment across GitLab environments. You'll own high-throughput, multi-component backend systems and help shape architecture, reliability, deployment, and operational maturity across GitLab's SaaS, Dedicated, and Self-Managed environments. What you'll do Design

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Data & Analytics About The Team The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. The Business Intelligence team is central to how we turn data into decisions by owning the reporting foundations that keep teams oriented and delivering the insights & analyses that drive how we understand, diagnose, and grow the business. Come build with us! Who You Are You are an experienced analytics leader who thinks about data in terms of decisions, systems, and repeatable frameworks. You've spent your career helping business leaders ask shar

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us! The Analytics Engineering team sits at the center of how Justworks turns raw data into the foundation for trustworthy analysis and reporting across the company. Who You Are You are a data leader with a curious mindset, a passion for building, and an eye for optimization. You thrive when enabling the strategic and effective use of data within and outside of a data team. You are adept at understanding business challenges and framing them as enablem

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors The Analytics Engineering team at Nextdoor transforms diverse data sources into solutions for business challenges. As a lean yet impactful team, we cover the entirety of the Nextdoor business and excel in cross-functional collaboration to empower company-wide data-driven decision-making. By amplifying the voices of our platform's users, we play a pivotal role in building stronger, healthier communities. We’re at an exciting transition, evolving from a traditional Business Intelligence focus to a broader mandate that includes strengthening data foundations and developing data products, such as analytics self-serve, for all Nextdoor data consumers. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As a Senior Analytics Engineering Manager , you will Develop and own the vision for Analytics Engineering, delivering curated datasets, dashboards, and

The team + the role Pendo's Data & GTM Intelligence org exists to make the revenue organization faster, smarter, and more effective. We sit at the intersection of data, AI, and GTM execution. We hold ourselves accountable to whether the teams we support are getting measurable, lasting value from our work. This role owns the operational foundation for Pendo's Customer Engineering organization: process design, planning cycles, and strategic partnership with CE leadership. You stay close to the business - deeply embedded in the CE org, with a point of view on where process, data, or AI could unlock better outcomes. You also serve as the CE pod lead, the coordination point for Applied AI, Business Systems, and Data work that touches your function. You operate with significant autonomy. You identify what is broken, design the solution, and bring stakeholders along. The best person for this role has strong customer success and sales engineering domain knowledge, sharp analytical instincts, and genuine enthusiasm for rebuilding operations around AI. What this looks like day-to-day Own core CE operational work: book-of-business design, territory assignments, capacity planning, and quota framework support. Design, document, and improve CE processes end-to-end including onboarding handoff workflows, renewal and expansion pipeline governance, risk escalation protocols, and success plan hygiene. Partner with Analytics to translate data into clear, actionable recommendations for CE leadership. Serve as the coordination point between CE and the Business Operations functions (Applied AI, Data, Systems). Understand where CE teams are running into friction - where they are losing time, where the data is wrong, where process gaps are costing renewals. Identify where manual work is slowing CEs down and bring a clear point of view to Applied AI on where automation or AI would have the most impact. Maintain Salesforce data standards for CE: define what good looks l

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Manager, Machine Learning on Twilio’s Conversation Memory team. About the job This position is critical to leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI, specifically by owning the development of 0-to-1 platform features that empower developers to build sophisticated, context-aware customer engagement applications. This is a highly technical, hands-on role, requiring a "player-coach" mentality to actively contribute technical expertise, bridge the gap between theoretical research and production-grade experimentation, and provide strategic direction to the team, rather than being purely a people manager. The leader in this role must demonstrate a strong bias for action, establishing a high-performing engineering setup that enables rapid iteration, experimentation, and deployment of models in this 0-to-1 set

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 or Cork 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: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new

The Atlas API Experience (APIx) teams are part of MongoDB Atlas Data Services, a diverse group of individuals who develop the capabilities to run MongoDB globally (see MongoDB Atlas ). Our software and services allow users to deploy fault-tolerant, scalable, globally distributed MongoDB clusters in minutes. APIx’s mission is to create delightful experiences that bring developers along on the journey from eager beginner to sophisticated MongoDB expert! As part of our team in APIx, you will be responsible for improving & extending our API platform & downstream tooling, such as the Atlas CLI . Our mission is to help Atlas customers automate their workloads easily through APIs & support internal teams contributing to the API. We are looking for passionate, intrinsically-motivated software engineers who lead by example, raise the bar for those around them, and want to make a broad impact. No prior experience with MongoDB technologies is required! During interviews, you will meet most of our team and have the opportunity to ask questions about working at MongoDB. We pride ourselves on our team's culture and on being an inclusive and collaborative group that Builds Together . This role can be based in our Dublin office or remotely within Ireland. What will you do? Propose, design, implement and support product features for the MongoDB Atlas API Platform & MongoDB Atlas DevTools, such as AtlasCLI Build tooling that enables MongoDB users and developers to succeed, using programming languages such as Java, Go, Python & Javascript/Typescript Design and develop software integration components utilizing MongoDB’s technology (i.e. database, mobile, search, etc.) in larger contexts and integrate into partner frameworks or solutions Mentor and provide technical guidance to other engineers through code and design reviews, pairing, and knowledge sharing Lead sophisticated projects end to end, breaking large efforts into incrementally shippable deliverables Investi

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the center of innovation and creativity. MongoDB is seeking a Sr. Staff Software Engineer to join the Atlas Core Data Services organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product, along with the API Platform and Developer Tools. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Core Data Services organization builds the software that manages the Atlas cluster infrastructure hosted on the three major cloud providers (AWS, Azure, and GCP), as well as the software that manages the MongoDB database hosted on that infrastructure. We are constantly challenged to design features that ensure Atlas clusters are secure, available, durable, and performant while running large-scale, critical workloads. The Sr. Staff Engineer in this role will drive innovation across the organization and the company, setting technical standards and direction that enable future growth and velocity. We are looking for engineers with the experience and high standards needed to lead at that scale. Our organization champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies systems expertise to build the foundational infrastructure of a popular database, join us. Let's build a faster, more reliable, and highly scalable database platform together. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Define standards and vision for the mission-critical Atlas SaaS data

The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education. We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred) Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring less-senior engineers Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration Strong experience operating production Kubernetes clusters, not just deployed to it Has practical experience defining and operating against SLI/SLOs for services they owned Str