Lead Fullstack Software Engineer Jobs

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. 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: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or r

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

Datadog is looking for a visionary Senior Leader of Sales Engineering (SE) to lead and scale a high-performing team of SE Directors in North America across Enterprise, Majors, and Public Sector accounts. This is a strategic leadership role with regional and global impact. You will define the Sales Engineering strategy for North America and act as a regional voice in global discussions with Product Management, Engineering, and Go-To-Market teams—ensuring that customer needs in North America influence Datadog’s global direction. 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 Will Do Executive Leadership & Organizational Growth Recruit, develop, and lead a team 3rd line SE Directors, fostering a culture of technical excellence, customer-centricity, and continuous growth. Define and drive the technical sales strategy across North America, and globally. Set the vision, priorities, and operating model for Sales Engineering, ensuring alignment with Datadog’s business objectives and local market dynamics. Partner with Sales Leadership to align on revenue targets, go-to-market initiatives, and strategic customer engagement across the region. Represent North America Sales Engineering globally, ensuring regional perspectives and requirements are reflected in Datadog’s product roadmap and GTM planning. Customer Partnership & Advocacy Act as a trusted advisor to C-level and senior technical executives, demonstrating how Datadog solves critical observability, performance, and security challenges, especially given the rapid business adoption of AI. Provide executive support for high-stakes opportunities, offering guidance throughout complex sales cycles. Serve as an executive sponsor for strategic customers across North America. Promote value-based technical s

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow revenue, and create new business opportunities. Our mission is to increase the GDP of the internet. The work ahead is substantial, which gives you the opportunity to help put the global economy within everyone’s reach while doing some of the most meaningful work of your career. About the team Early careers is a critical part of Stripe’s long-term talent strategy. The University Recruiting team helps shape the company we become by building the systems, programs, and hiring partnerships that bring exceptional interns, apprentices, and new graduates to Stripe. As University Recruiting Manager, you will lead and develop a team of University Recruiters while owning the strategy and delivery of intern and new graduate hiring across Stripe. This is a high-visibility leadership role with a wide stage: you will work across every line of business and role type, partner with leaders throughout the company, and turn ambitious hiring goals into thoughtful, durable programs. You will also help lead Stripe’s global internship and apprenticeship programs, including onboarding, intern experience, and employee-relations escalations. What you’ll do University Recruiting at Stripe is not a transactional recruiting function. This role goes well beyond attending a career fair or filling individual roles. You will set direction for an early careers strategy that supports Stripe’s business needs today and builds the talent pipeline we will need next. You will bring strategic judgment, a builder’s mindset, and a deep commitment to craft. You will balance the operational rigor required to deliver at scale with the creativity to design programs and experiences that are clear, useful, and memorable. You will use data to understand what is working, where we are falling short, and what

About the Role In this role, you’ll lead and evolve the design system foundations for ChatGPT. You’ll make nuanced design judgment explicit and usable across product teams, establishing the principles, patterns, and standards that enable coherent, high-quality experiences at scale. A paramount part of this role is raising OpenAI’s craft bar. This work extends beyond maintaining a component library: you’ll define what excellent product design looks and feels like, establish clear guidance for choosing and applying interface patterns, and ensure that new ChatGPT experiences strengthen a coherent system across platforms. Working closely with research, engineering, product, and design, you’ll create a continuous learning loop between design principles, product experiences, evaluation, and evolving technology—shaping a system that becomes more capable and expressive as ChatGPT grows. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: Define an exceptionally high standard for craft and taste, translating that standard into principles, guidance, and examples that elevate the quality of ChatGPT. Own and evolve ChatGPT’s design foundations, including typography, sizing, spacing, layout, motion, accessibility, and responsive behavior. Establish a shared source of truth across platforms and improve the systems connecting tokens, components, patterns, widgets, learning experiences, and app-like product experiences. Build a comprehensive design systems framework with clear, opinionated guidance about when and how product teams should use different interface patterns. Translate design judgment into durable standards and use prototyping and evaluation workflows to test experiences, identify recurring issues, and improve the system. Identify promising patterns across emerging product experiences and turn them into reusable, documented foundations. Partner with research, engineering, product, and design to evolve the d

About the Role We're looking for a Head of Competitive Intelligence to build and lead a world-class competitive intelligence function. This person will transform market signals into strategic advantage by developing the frameworks, analysis, and insights that inform our product strategy, go-to-market approach, and executive decision-making. This is not a research role. It's a highly cross-functional strategy role that sits at the intersection of Product, GTM, Research, and Leadership. You'll establish the systems, operating cadence, and analytical rigor that help the company understand where we win, where we're vulnerable, and how the market is evolving. What You'll Do Build and own the company's competitive intelligence strategy and operating model. Develop and maintain comprehensive competitive assessments, including Harvey Ball analyses, feature matrices, product comparisons, pricing analyses, and market landscape reviews. Create executive-ready competitive insights that influence product strategy, roadmap prioritization, pricing, and investment decisions. Build best-in-class objection handling and competitive messaging for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding, and GTM motions, synthesizing complex information into clear strategic recommendations. Establish repeatable processes and tooling for collecting, validating, and distributing competitive intelligence across the company. Partner closely with Product Management to inform roadmap decisions and identify areas of strategic differentiation. Collaborate with Marketing to sharpen positioning and messaging based on competitive dynamics. Support executive leadership with board-ready competitive analyses and market briefings. Build dashboards and reporting that track competitive movements and emerging industry trends. Develop frameworks that evaluate competitors across capabilities, enterprise r

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

About the Role: We are seeking an experienced Risk Management professional to lead and strengthen the organisation's Operational Risk and Outsourcing Risk Management framework. The role will be responsible for identifying, assessing, monitoring, and mitigating operational and third-party risks across payment products, merchant acquiring, cross-border payments, and outsourced business operations. The incumbent will work closely with business, operations, compliance, technology, audit, and leadership teams to ensure adherence to regulatory requirements, network guidelines, and internal risk policies. Key Responsibilities Operational Risk Management: Develop, implement, and enhance the Operational Risk Management (ORM) framework, including Risk and Control Self-Assessments (RCSAs), across the organisation. Identify, assess, monitor, and mitigate operational risks arising from payment operations, merchant onboarding, transaction processing, and customer servicing. Drive corrective action plans arising from RCSA findings and control gaps. Monitor Key Risk Indicators (KRIs), operational losses, incidents, and control effectiveness. Lead root cause analysis and remediation for operational risk events. Own SOP and policy lifecycle management — including drafting, versioning, and periodic review — for all operational risk policies and procedures. Outsourcing Risk Management: Manage end-to-end outsourcing risk governance for third-party vendors involved in KYC verification, PAN validation, customer onboarding, payment processing, and other critical functions. Maintain and operate a vendor categorisation framework (IT/Non-IT, critical/non-critical outsourcing) and ensure risk assessments are calibrated to vendor tier and exposure. Ensure compliance with RBI Outsourcing Guidelines, PA Master Directions 2025, and all applicable regulatory requirements. Conduct vendor due diligence, risk assessments, performance reviews, and periodic audits. Monitor SLA adherence, control ef

About the Role We are looking for a seasoned Engineering Manager to lead our Data Platform. You will own the architecture and evolution of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform, enabling real-time decision-making across the organization. In this role, you will drive consistency and quality by defining the right engineering strategies. You will oversee multiple engineering projects, ensure timely execution, collaborate across functions, and mentor engineers to grow into high-performing contributors.

We're looking for a Manager of Restaurant Back Office Systems to own and lead our CrunchTime platform strategy, administration, and integration ecosystem. This role is responsible for ensuring CrunchTime operates reliably as the backbone of restaurant-level inventory, labor, and operations management, while managing a small team and partnering closely with IT, Finance, and Operations stakeholders. This is a hands-on leadership role: you'll set direction for the platform, develop and cross-train two direct reports so the team can cover for one another, and remain deeply technical enough to troubleshoot integration issues, guide configuration decisions, and evaluate system changes yourself. ***Musts be in the office 4 days a week*** What You'll Do Own the CrunchTime platform end-to-end, including configuration, maintenance, upgrades, and long-term roadmap Lead, coach, and develop a team of 2 direct reports, setting clear goals, providing regular feedback, and supporting their career growth Cross-train direct reports across CrunchTime modules and integration points so the team has full coverage and no single point of failure during absences, escalations, or turnover Build individual development plans for direct reports, identifying growth opportunities and stretch assignments across platform, integration, and vendor management work Manage and troubleshoot integrations between CrunchTime and: Point of Sale (POS) systems SAP (financial/ERP data flows) Distribution partners such as Sysco (EDI/ordering, invoicing, and inventory feeds) Serve as the primary escalation point for data discrepancies, integration failures, and system outages affecting inventory, ordering, or labor data Partner with Finance, Supply Chain, and Operations teams to ensure back office data supports accurate COGS, inventory valuation, and labor cost reporting