Lead Full Stack Builder Jobs

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 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

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, 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 th

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, 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 th

About the role Chime is looking for a Director of Engineering to lead our AI & App Experience (AAX) organization — the team building the next generation of the Chime member experience. AAX owns Jade, Chime’s AI-powered financial assistant, our AI platform infrastructure as well as the core app experiences and shared design system. In this role, you’ll own the multi-quarter strategy for AAX engineering, translating company priorities into scalable plans across these teams. You’ll build and lead a bench of TLM (tech leader managers) and senior technical staff, set the technical bar for how Chime builds AI-native, member-facing products, and partner with Product, Design, Data Science, and our Risk team to shape where AAX invests next. This is a role for a leader who is equally comfortable setting long-range technical vision and staying close enough to the details to guide hard architectural calls — someone who has helped build or scale AI/LLM-powered consumer products and knows how to grow the engineering leaders around them. In this role, you can expect to In partnership with our product team you will own the multi-quarter strategy for AAX engineering, translating company and product priorities into our roadmap plans across consumer facing AI experiences, AI Platform, App Journey, and Design Systems. Build, lead, and hire a high-caliber leadership bench of highly technical leaders/IC’s as well as building a team culture that exemplifies a builder mindset. Partners with your team to set technical direction for the org, driving architectural alignment across our consumer facing AI experiences, AI Platform, App Journey, and Design System. You will continue to drive our AI-native engineering culture: setting the bar for how LLM-powered features get shipped safely at scale. Own engineering’s strategic role in product direction, partnering with Product, Design, Data Science, and Risk leadership to shape roadmaps, challenge assumptions, and integr

As Engineering Manager for Code Security, you'll lead a team of engineers building Infrastructure as Code and Secrets protection - one of the fastest-growing areas inside Datadog's security business, with a strong roadmap and real customer problems to solve. You'll partner closely with Product Management and User Experience to shape how the team delivers, stay hands-on with the technical work, and bring AI deeply into how your engineers build. The organization is still young, which means real room to shape its direction and grow into broader scope as it does. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow a team of engineers building Datadog's Infrastructure as Code and Secrets security products Own the team's roadmap, staffing, and delivery, partnering closely with Product Management and User Experience Stay hands-on: contribute to code review, weigh in on design decisions, and participate in the on-call rotation Bring AI deeply into how the team builds, from adopting agentic coding tools to rethinking workflows around them Coach engineers at every level, giving direct feedback and helping them grow their scope and careers Keep the team's projects and programs organized as priorities shift across a fast-growing area Who You Are: You've managed software engineers for 2+ years, with a track record of shipping through your team You bring a strong technical background you can draw on in day-to-day roadmap and design conversations You're comfortable staying close to the work - reviewing code and unblocking technical decisions alongside your team You've integrated AI agents into how you and your team deliver code, not just experimented with them You keep projects and programs organized, even as priorities and scope shift &n

What We’re Looking For: We’re looking for an architect to lead the design and implementation of the inter-wafer scale-up network. Connecting very high bandwidth and high capacity wafers into a “super-system” will enable previously unprecedented capabilities for the AI industry. Ideal Background: Deep knowledge of networks, especially knowledge of tradeoffs and advantages of different network topologies for different workloads and applications Understanding and ideally experience in implementation of network protocols Understanding of AI workloads and their network design implications (eg message sizes vs latency, bandwidth, hops, etc) Nice to Have: Hands-on experience with architecture and design process of either switch or NIC chips Hands-on experience designing AI networks Experience in tradeoffs between different network protocols for AI applications Experience in large-scale AI clusters Experience in large-scale optical network fabrics, especially with issues around reliability/RAS

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

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Manager of Sales Development to join our team. This is a Hybrid (Dallas, TX) role, reporting to the Director of Sales Development in the SDR department. You will oversee a Sales Development Representative team focused on pipeline generation and lead qualification. In this position, you will actively recruit and onboard representatives, coach the team through call reluctance and rejection, and optimize the outbound tech stack to serve as a crucial bridge between marketing and sales. What you’ll do (Role Expectations) Develop SDRs into sales-ready candidates, training them to identify, contact, and create qualified lead opportunities Monitor SDR dashboards to ensure data accuracy, track progress against goals, and identify opportunities for team development Motivate, incentivize, and recognize team members to encourage top performance Define performance-driven metrics and expectations for pipeline cr

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

Role Description Dropbox is seeking a Vice President of Revenue Operations to define and lead the operating strategy for the company’s global B2B go-to-market organization. This executive will be responsible for building a high-performing, scalable revenue engine that enables predictable and efficient growth across SMB, Mid-Market, and Enterprise segments while supporting Dropbox’s evolution across product-led, sales-assisted, and enterprise motions. This leader will serve as a key strategic partner to the Chief Business Officer and broader executive leadership team, translating company strategy into the operating model, planning frameworks, systems, insights, and execution mechanisms required to deliver durable growth. The role will own Revenue Operations and Marketing Operations across the customer lifecycle, ensuring tight alignment between demand generation, pipeline creation, sales execution, retention, expansion, and overall revenue performance. The VP of Revenue Operations will have enterprise-wide accountability for revenue planning, forecasting, segmentation, capacity and coverage strategy, incentives, GTM systems, analytics, operating cadence, and revenue productivity. This leader will play a central role in shaping how Dropbox allocates resources, evaluates performance, scales new products and motions, and modernizes its GTM organization through data, automation, and AI. Responsibilities Define and lead Dropbox’s global revenue operating strategy, ensuring the company’s GTM model is designed to support long-term growth, efficiency, and increasing enterprise complexity Serve as a strategic advisor to the Chief Business Officer and executive leadership team, bringing data-driven insights and recommendations to critical decisions around growth, investment, resource allocation, organizational design, and GTM strategy Own the end-to-end revenue operating model across Sales, Marketing, Customer Success, and Support, including segmentation, coverag

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

We're looking for a Senior Manager of SW Tools Development to lead an organization built on two closely connected pillars: AI-powered tools and agents, and the test infrastructure, data pipelines, and process automation that engineering and business teams rely on every day. You'll bring deep knowledge of large language models (LLMs) and applied AI, and use it not only to build new AI-driven products but to find where AI can meaningfully upgrade test infrastructure, data pipelines, and automation — the overlap between these areas is where some of your team's highest-leverage work happens. Beyond building the tools, you'll be the face of your organization's products internally — demoing capabilities, winning over new adopters, and growing the portfolio of tools your team owns. You will manage multiple engineering teams (including managers), partner cross-functionally with stakeholders across the business, and build the processes that let your tools ship safely and reliably at scale. In this role, you will: Lead and grow multiple engineering teams spanning AI-powered tools/agents and test infrastructure, data pipelines, and process automation, managing and mentoring managers and senior engineers, and holding your organization accountable for delivery and quality across both areas. Set a unified, prioritized roadmap across your organization that balances new AI agent/tool capabilities with test infrastructure, data pipeline, and process automation needs — with a sharp eye for where applying LLMs to automation, pipelines, or test systems creates outsized leverage. Design and enforce the architecture, quality gates, and release processes that ensure tools, pipelines, and AI agents are validated, secure, and reliable before reaching production. Partner cross-functionally with engineering, operations, and business leadership across the company to align priorities, scope integrations, and drive adoption of new tooling at an organizational leve

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 55224

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in