Senior Lead Full Stack Software Engineer Application Development 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

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, 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

We’re looking for a visionary Product Manager to lead the Agents Experience team in San Francisco. In this role, you will define how humans and AI agents work together inside Asana and make collaborating with agents feel natural, trustworthy, and indispensable. You will join our Product Management team, which drives Asana's product strategy and works cross-functionally across Engineering, Design, Experience Research, Data Science, Sales, Support, and Marketing to deliver impactful solutions that help teams see the larger purpose behind their work. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for the core agent experience that will define the modern Human + Agent workplace. Drive agent adoption by owning how teams discover, activate, and build lasting habits around AI agents, turning successful first experiences into durable, team-wide usage. Partner with design and user research to refine the core interactions for how users create, direct, review, and give feedback to agents in the flow of work. Lead discovery, pilots, and betas with enterprise customers to understand how organizations adopt agents, translating those insights into product strategy. Shape the experiences that let humans confidently delegate work to agents, including transparency, control, and feedback loops that build trust at every step. Define engagement metrics, instrument tracking, and iterate continuously on the product experience. About you 6+ years of product management experience, ideally focused on AI products, collaboration software, or enterprise workflows. Pr

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

We are looking for an experienced Senior Partner Manager to lead and scale Datadog's alliances with major Indian Global Systems Integrators (GSIs), including - Wipro, Tech Mahindra, and Cognizant. This is a high-impact role responsible for driving partner-sourced pipeline, co-sell motions, and joint go-to-market initiatives in a global capacity. You will own the strategy and day-to-day execution of these strategic relationships, working closely with regional sales, marketing, and legal teams to unlock new revenue and expand Datadog's footprint through the Indian GSI ecosystem. 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: Build and execute strategic plans to maximise customer success, partnership growth, and revenue opportunities across targeted Global Indian Systems Integrator partners. Drive joint solution development, go-to-market initiatives, pipeline generation, and delivery excellence with partners. Build strong relationships with Datadog leaders and partner executives, securing alignment, influence, and commitment to shared priorities. Partner closely with Regional Partner Sales Managers responsible for GSI relationships, as well as cross-functional teams including Partner Solution Architecture, Marketing, Legal, and Deal Desk. Negotiate and manage partnership agreements, order language, and contractual terms, including MSP addendums and pass-through obligations, in coordination with Legal and Deal Desk. Generate partner-sourced net-new pipeline and revenue, while identifying and recruiting additional practice areas or business units within existing GSI partners to expand the scope of the partnership. Who You Are: 7+ years of partner-facing, quota-carrying business development experience, with a track record of building strategic relations

We're hiring a Senior Technical Program Manager to lead Asana's push into agentic work management — building the programs that let AI teammates plan, execute, and orchestrate work alongside humans . You'll drive initiatives spanning the Asana Work Management Platform which enables human-AI collaboration workflows, partnering with teams across R&D and the business to deliver exceptional customer outcomes . This role requires technical depth and business acumen with strong collaboration skills to orchestrate work across Engineering, Product, Design, Research, and Business teams . This role is based in our Vancouver or New York office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fri days depends on the type of work you do and the teams with which you partner . If you're inte rviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead end-to-end execution of cross-functional programs that advance Asana's agentic work management capabilities — from onboarding and task delegation to multi-agent orchestration and human-in-the-loop review — that let customers get real work done with AI . Build and own product engineering delivery plans, timelines, and dependencies, ensuring alignment and accountability with cross-functional teams . Create visibility, clarity, and drive delivery by managing program governance, identifying risks, coordinating resources, and ensuring teams execute effectively toward shared goals . Communicate updates effectively to teams and stakeholders on program health . Drive continuous improvement by identifying inefficiencies and streamlining processes . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Brings 8+ years leading

We're hiring a Senior Technical Program Manager to lead Asana's push into agentic work management — building the programs that let AI teammates plan, execute, and orchestrate work alongside humans . You'll drive initiatives spanning the Asana Work Management Platform which enables human-AI collaboration workflows, partnering with teams across R&D and the business to deliver exceptional customer outcomes . This role requires technical depth and business acumen with strong collaboration skills to orchestrate work across Engineering, Product, Design, Research, and Business teams . This role is based in our Vancouver or New York office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fri days depends on the type of work you do and the teams with which you partner . If you're inte rviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead end-to-end execution of cross-functional programs that advance Asana's agentic work management capabilities — from onboarding and task delegation to multi-agent orchestration and human-in-the-loop review — that let customers get real work done with AI . Build and own product engineering delivery plans, timelines, and dependencies, ensuring alignment and accountability with cross-functional teams . Create visibility, clarity, and drive delivery by managing program governance, identifying risks, coordinating resources, and ensuring teams execute effectively toward shared goals . Communicate updates effectively to teams and stakeholders on program health . Drive continuous improvement by identifying inefficiencies and streamlining processes . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Brings 8+ years leading

Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. 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 Own and evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI

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

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 are looking for a Senior Total Rewards Specialist to lead the administration, implementation, and continuous improvement of global Benefits and Mobility programs. Reporting to the Manager, Total Rewards, this role will collaborate with key internal and external stakeholders to deliver effective, compliant, and competitive Total Rewards solutions. The Senior Total Rewards Specialist will provide consultation and guidance to business leaders, People Partners, Talent Acquisition partners, employees, and external vendors on benefits, mobility, and related Total Rewards programs while supporting broader Total Rewards initiatives. This role is open to remote-applicants in Canada (in Provinces where we can hire legally), unless you are near a commuting distance from our Toronto or Vancouver offices. In which case, there would be a hybrid component. WHAT YOU’LL DO: Drive the implementation of global benefit programs, including health and welfare benefits, disability programs, retirement programs and employee wellbeing initiatives, ensuring compliance with local regulations across all locations. Perform in-depth analysis of existing benefit programs and initiatives. Recommend changes based on employee needs, market trends, regulatory requirements and organisational priorities. Lead the implementation of benefit renewals, implementations, vendor transitions and other benefits-related projects to ensure successful delivery of the program. Implement Hootsuite’s Global Mobility Programs (permanent relocation, short and long term assignments, business traveler and commuter) and be the first point of contact for employees, Business Leaders, the People team, and external vendors for all mobility related matters. Collaborate with business leaders, People Partners and external stakeholders to deliver mobility solutions that support evolving workforce patterns, meet business goals, and maintain compliance for our mobility and foreign national populations. Ma

The ERC Engineer - Electrical & Instrumentation (E&I) supports the ERC Lead - Electrical in managing electrical systems design and implementation for various projects. This role involves assisting preparing/reviewing in electrical equipment selection, preparation of technical documents, vendor coordination, and ensuring compliance with industry standards to deliver efficient project solutions. Source: Adani Group | Job ID: 54911

We are hiring a Senior Technical Product Marketing Manager to lead positioning and messaging and to grow adoption of MongoDB Search and Vector Search as foundational components of our platform – the retrieval layer powering the next generation of grounded AI applications and agents. This is a high-impact role for a marketer who thinks like a builder. As developers architect increasingly sophisticated systems – RAG pipelines, agentic workflows, multi-modal search experiences – retrieval has moved from an implementation detail to a core design decision. You’ll join a high-performing, globally distributed team and partner closely with Marketing, Builder Relations, Product Management, Engineering, Partners, and Sales to develop, measure, and achieve cross-functional goals. The role requires technical depth in information retrieval — lexical and vector search, hybrid approaches, embeddings, re-ranking, agentic retrieval loops, and the tradeoffs that matter in production systems — paired with the product marketing instincts to turn that depth into crisp, differentiated messaging for distinct user and buyer personas. Hands-on experience building or shipping AI-enabled products is a strong advantage. Individuals with prior experience in technical sales, developer relations, or technical marketing are encouraged to apply. This person is a voracious consumer of AI research and pays close attention to shifting patterns in application architectures and development, including agentic systems. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. We are looking to speak to candidates who are based in the US for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as a strategic partner for high-impact initiatives that align with MongoDB’s long-term business goals in collaboration with Marketing, Developer Relations, Product