Production Tech Jobs

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

Datadog is looking for an Engineering Manager to lead and grow our Code Coverage team, which is building the next generation of AI-powered developer tooling. This team owns Datadog’s Code Coverage product across the entire stack, helping customers track and enforce test coverage. Code Coverage is part of the Software Delivery suite, which enables engineering teams to move faster and more securely. In this role, you will lead and develop a high-performing engineering team in an ambiguous environment. You’ll set technical direction, drive execution, and remain hands-on. You will partner closely with customers and product management to evolve the product into an automated system that leverages production signals and AI to improve test quality, relevance, and performance. 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 and develop a team of four engineers in Madrid, supporting their growth through mentorship, regular 1:1s, and clear performance feedback, while fostering a strong culture of ownership and quality Guide the evolution of Code Coverage into an AI-powered system that uses production data and LLMs to identify coverage gaps and improve test effectiveness Partner with product management and customers to define and evolve the roadmap, aligning stakeholders and translating strategy into clear priorities Stay hands-on by contributing to architecture and design decisions, and by participating in the on-call rotation Who You Are: You have a strong interest in AI and agentic engineering, and are curious about how LLMs and autonomous systems can improve developer workflows You have experience leading an engineering team as a tech lead or manager, with a track record of developing engineers at different level

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. 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 a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Data Semantics is Datadog’s authority on semantic knowledge, providing shared infrastructure that powers both Datadog’s product experiences and AI capabilities. As Datadog continues its investment in OpenTelemetry-native observability, semantic interoperability, and AI-powered workflows, this team sits at the center of some of the company’s most strategic platform initiatives. As a Staff Engineer, you will serve as a technical leader for the team, balancing stewardship of critical production systems with the exploration of new platform capabilities that improve how telemetry is modeled, understood, and consumed across Datadog. You will work closely with engineering and product partners to define standards, drive technical direction, and deliver solutions that scale across Datadog’s observability platform. 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 the technical direction of the Data Semantics team while remaining deeply hands-on in design, implementation, and delivery. Build and scale semantic infrastructure that bridges OpenTelemetry, Datadog-native telemetry, cloud-provider telemetry, and customer-defined data models. Drive platform initiatives focused on schema evolution, telemetry standardization, data insights, and semantic interoperability across Datadog products. Partner with engineering and product teams across the platform to define standards, align stakeholders, and deliver high-leverage platform capabilities. Mentor engineers through design reviews, technical guidance, operational excellence, and long-term career development. Participate in on-call rotations and lead investigation and resolution efforts for complex production incidents affecting critical platform services. Who You Are: You have significant experience designing, opera

The Security Libraries team owns the customer-side integrations behind Datadog’s run-time security products — App & API Protection , Workload Protection , and Code Security — shipping and maintaining security capabilities across seven open-source language libraries ( .NET , Java , Go , Node.js , Python , Ruby , PHP ) and a set of HTTP proxy integrations (Envoy, NGINX, and HAProxy), running inside thousands of production clusters worldwide. Recent work spans exploit prevention (RASP), WAF detections, API Security, code security (IAST and SCA), and AI-assisted onboarding. As Engineering Manager, you’ll lead part of this polyglot team, setting the technical bar and team culture while driving the pace at which new detections and AI-assisted capabilities reach customers. This is a hands-on role: you’ll balance people leadership, product and roadmap ownership, and the operational health of code that runs in production at massive scale, with room to grow into more of Datadog’s security portfolio over time. 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, grow, and develop a team of roughly 4-8 library engineers — coaching, giving direct feedback, and empowering senior ICs as technical leaders Own team delivery and productivity: planning, milestones, reviews, and the on-call rotation Set product direction with Product Management and balance priorities across App & API Protection, Workload Protection, and Code Security Stay technically close to the work — apply strong technical judgment, contribute code where it matters most, and keep quality and architecture high Build strong relationships and drive alignment across the language teams and product, backend, and frontend partners Shape team identity and culture, and own accountability when problems oc

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 10+ years of experience building production-quality systems software with a large user base, robust design structure, and rigorous code quality Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management. Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures. Excellent verbal and written technical communication skills for communicating to a wide variety of audiences ranging from junior engineers to executive stakeholder Strong mentorship skills, and excitement about leveling up your peers and teammates through coaching, feedback, and enablement Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related

Atlas Growth is a cloud engineering group whose mission is to guide customers through their app development journey—from cluster configuration, data modeling and load testing, to running a production workload at scale. We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers. Our engineers participate in cross-functional “squads” with product, design, analytics, and research focusing on a single metric (e.g. retention). Our engineering team is part of a larger Atlas Core Engineering org, building foundational elements of MongoDB’s developer data platform. Atlas Growth 2 builds customer-facing features in Atlas and sits alongside other Growth engineering teams. Recent projects include an AI Chatbot for cluster creation, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Role Overview Atlas Growth seeks a mid-level software engineer (Software Engineer 3). SE3s are solid contributors to projects they work on and often lead projects of their own. They act in accordance with MongoDB’s core values and leadership principles, and are actively working toward a Senior role. Candidate Profile 3+ years of software engineering experience, with fluency in TypeScript/JavaScript, and experience with a modern framework (e.g. React) Proficiency in Java, Go, C++/C, or a similar compiled language is a plus Experience writing database queries, either document-based or relational Experience writing and reviewing technical specs, and leading small projects Interest in A/B testing or product design Expectations Contribute readable and well-tested code to ongoing projects Collaborate closely with product and design partners to implement and iterate on new customer facing features Write scope and technical spec docs for new projects

We're looking for an Account Executive to join our ANZ team focused exclusively on Digital Native Businesses (DNBs). This is one of the most exciting growth areas within MongoDB. You will work with some of the region's most innovative software, fintech, AI-native and technology companies, helping them build and scale modern applications on MongoDB. Your focus will be twofold Winning new customers across the ANZ Digital Native ecosystem Helping early-stage MongoDB customers expand their adoption as they build and scale AI-powered applications This role requires a true hunter mentality combined with the ability to engage technical and business stakeholders alike. You will work closely with founders, CTOs, engineering leaders, product teams and developers, helping customers move from experimentation to production-scale applications. You will collaborate closely with AWS, Microsoft and Google Cloud teams, as well as consulting and technology partners, participating in AI-focused events, startup communities and ecosystem initiatives across the region. This is a unique opportunity to sit at the intersection of enterprise technology, venture-backed innovation and the next generation of AI-powered applications. The successful candidate will become a trusted advisor to some of the region's most innovative companies as they navigate modernization, cloud transformation and AI adoption. We're looking to speak with candidates based in Sydney for our hybrid working model. Requirements 5+ years of successful enterprise technology sales experience Proven track record of new business acquisition and quota attainment Strong executive communication and relationship-building skills Self-starter with a strong hunter mindset and passion for building pipeline Comfortable operating in fast-moving, high-growth environments Experience working with AWS, Google Cloud, Microsoft or broader technology ecosystems is highly desirable Experience selling into software, fintech, SaaS, AI-native or Di

We're looking for a Senior Account Executive, Acquisition to join our ANZ team focused exclusively on Digital Native Businesses (DNBs). This is one of the most exciting growth areas within MongoDB. You will work with some of the region's most innovative software, fintech, AI-native and technology companies, helping them build and scale modern applications on MongoDB. Your focus will be twofold: Winning new customers across the ANZ Digital Native ecosystem Helping early-stage MongoDB customers expand their adoption as they build and scale AI-powered applications This role requires a true hunter mentality combined with the ability to engage technical and business stakeholders alike. You will work closely with founders, CTOs, engineering leaders, product teams and developers, helping customers move from experimentation to production-scale applications. You will collaborate closely with AWS, Microsoft and Google Cloud teams, as well as consulting and technology partners, participating in AI-focused events, startup communities and ecosystem initiatives across the region. This is a unique opportunity to sit at the intersection of enterprise technology, venture-backed innovation and the next generation of AI-powered applications. The successful candidate will become a trusted advisor to some of the region's most innovative companies as they navigate modernization, cloud transformation and AI adoption. This role can be based out of our Sydney office. Requirements 5+ years of successful enterprise technology sales experience Proven track record of new business acquisition and quota attainment Strong executive communication and relationship-building skills Self-starter with a strong hunter mindset and passion for building pipeline Comfortable operating in fast-moving, high-growth environments Experience working with AWS, Google Cloud, Microsoft or broader technology ecosystems is highly desirable Experience selling into software, fintech, SaaS, AI-native or Digital Native org

Come join and lead the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for a talented Lead Engineer to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration, and lives MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. If you want to lead a fast-growing team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience managing a team of software engineers, including hiring, performance and growth management, compensation planning, and mentoring You have 8+ years of experience building production-quality systems software with large backend/compiled codebases, ideally in Rust. Bonus points for experience with performance profiling, network protocols, TLS, and connection management You have strong technical judgment that you use to effectively guide engineering decisions in security-sensitive or networking-adjacent domains You put the customer first and don't hesitate to cross team boundaries in search of the right solution Solid experience in designing, writing, testing, maintaining, and operating mission-critical software systems Bonus points Professional or advanced academic expertise in the domains of security or networking You enjoy coaching, career development, and creating growth opportunities to help your

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. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

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. Senior Data Analyst - Field Analytics As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth. You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy. Job Duties & Responsibilities: Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis. Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifec

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas. We're looking for deeply technical Product Managers to own the developer platform: Figma’s MCP Server, REST API, and key first-party integrations like Figma for Slack and Figma for ChatGPT/for Claude. These roles sit at the intersection of product and infrastructure. If you're excited about developer tooling, systems thinking, and building the foundations that other product teams ship on top of, this role is for you. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: You’ll define and drive the strategy for one or more parts of our developer platform: the big bets, build-vs-buy calls, and how to sequence it all. Those areas: Design↔code platform: how we translate between designs in Figma’s SceneGraph to code in customers’ Makes and production codebases External platform: how external AI agents (Claude, ChatGPT, Cursor, etc.) access Figma context using our MCP Server & REST APIs, how and when Figma’s AI products appear in other surfaces (Slack, Microsoft Teams, etc.) As you drive platform strategy, you’ll: Influence product roadmaps where platform capabilities create new product opportunities. Partner with EM and tech leads to make key architecture and UX deci

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas. We're looking for a deeply technical product leader to lead the four teams responsible for Figma's Code area: Code Context, Design to Code, Code to Design, and Code Platform. You'll manage and grow a team of Product Managers while partnering closely with engineering, design, data, and research leaders. This team builds the products and platform capabilities that help design and code move fluently together. You'll set the strategy for improving connecting customer codebases to Figma. This is a full-time role that can be held from our New York hub or remotely within the Eastern US time zone. What you'll do at Figma: Lead the product aspects of the four teams driving Figma's Code area - Code Context, Design to Code and Code to Design, and Code Platform Set vision, strategy, and goals for how design and code stay in sync at Figma Own Design to Code and Code to Design workflows end to end, including quality measurement, improvement, and discoverability Guide the development of the code-context systems and translation primitives that power agentic workflows and round-tripping between design and code Manage and develop three Product Managers, hire the team's open Product Manager role, and establish a high bar for product management craft Partner wi

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture.