Application Security Head Jobs

Roles and Responsibilities Write maintainable/scalable/e?cient code. Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, unit-testing, code reviews etc. Follow release cycles and commitment to deadlines. Qualifications & Experience Experience level of 3 to 5 years of experience in very large scale applications. Fair understanding in problem solving skills, data structures and algorithms. Experience with distributed systems handling large amounts of data. Fair understanding in coding skills in Java/J2EE, Web technologies, RDBMS/messaging.

Roles and Responsibilities Write maintainable/scalable/code Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, unit-testing, code reviews etc. Follow release cycles and commitment to deadlines. Qualifications & Experience Experience level of 3 to 6 years of experience in very large scale applications. Fair understanding in problem solving skills, data structures and algorithms. Experience with distributed systems handling large amounts of data. Fair understanding in coding skills in Java/J2EE, Web technologies, RDBMS/messaging.

Roles and Responsibilities Write maintainable/scalable/e?cient code. Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, unit-testing, code reviews etc. Follow release cycles and commitment to deadlines. Qualifications & Experience Experience level of 3 to 5 years of experience in very large scale applications. Fair understanding in problem solving skills, data structures and algorithms. Experience with distributed systems handling large amounts of data. Fair understanding in coding skills in Java/J2EE, Web technologies, RDBMS/messaging.

Become a part of our caring community The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. Key Responsibilities Technical Architecture and Ownership:** Design and own the end-to-end architecture of Centerwell's AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation. Make and communicate foundational technical decisions in close collaboration with the broader engineering team. Model Development and Fine-Tuning:** Evaluate, select, and where appropriate guide the fine-tuning of foundation models. Establish model evaluation frameworks that prioritize safety, accuracy, and clinical relevance. Clinical and Product Partnership:** Collaborate closely with product managers, designers, clinicians, and data stakeholders to understand care delivery workflows and translate them into well-scoped, high-impact AI features. HIPAA Compliance and Responsible AI:** Ensure all AI systems are designed, deployed, and monitored in compliance with HIPAA and Humana's Responsible AI standards, including participation i

MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. We are looking to speak to candidates who are based in Toronto for our hybrid working model. Candidate Profile: 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Proficient in modern programming languages and techniques Experienced in developing distributed systems, cloud services, and SaaS products Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Build and design our integrated search platform, written in Java Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Lead projects and own subsystems Help determine the team’s roadmap and the architecture of our system Success measures: In 3 months you’ll have contributed to the development of an existing project and completed several improvements or bug fixes In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings In 12 months you’ll have a thorough understanding of the systems the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to cr

About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the role/team: We are hiring an experienced Enterprise Account Executive to support our growth into F500 and G2000 customers! Reporting directly into the Head of Global Sales, this person will play a critical role in the growth of Pinecone as we expand the power of knowledge retrieval and AI infrastructure for Agentic use cases across the world’s largest organizations. Responsibilities: Owning a territory and quota of large Enterprises that you will prospect and break into to secure POCs and committed contractual relationships with. Managing inbound leads through the BDR, PLG, and MQL channels Lead all sales related activities through the various stages of the buying journey; in accordance to Pinecone’s defined sales process Selling and winning against our competitors Ensuring the customer is deployed successful and positioned for expansion Partnering cross-functionally with Sales Engineering, Forward Deployed Engineering, Product, Engineering, Finance, and Marketing Successful Pinecone Account Executives have a high degree of technical knowledge, and are comfortable selling into developers and engineering leaders. They are excited about working in a startup environment, comfortable with ambiguity, and ready to build an amazing business that will change the infrastructure landscape. Requirements: Experience in the infrastructure, data software, and genAI space is preferred Experience selling to developers and engineering leaders is a must Candidates should have a minimum 5-7 years experience as an E

About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Role/Team: As a Technical PMM , you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. Responsibilities: Product Launches & GTM Strategy: Develop launch plans for product releases, align with product teams, and manage GTM execution. Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). Measure customer impact and adoption post-launch, iterating on strategies as needed. Positioning & Messaging: Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. Develop and maintain positioning for new product capabilities Customer & Market Insights: Partner with customers to develop case studies, gathering business impact metrics and architectural insights. Engage in customer interviews and research to refine messaging and identify key value drivers. Content Development & Enablement: Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessi

About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: As a Business Development Representative, you’ll be the primary catalyst for user activation and expansion. You will work at the critical intersection of our Product-Led Growth (PLG) motion and our high-growth revenue engine. Your core mission is to identify high-potential users within our self-serve funnel and proactively convert them into qualified sales opportunities. You are part researcher and part automation hacker. You will partner closely with our Revenue Operations team to combine creative outreach with GTM (Go-To-Market) engineering workflows (using tools like Clay, n8n, Zapier, etc.) to deliver personalized, data-backed touchpoints at scale. You'll collaborate closely with Sales, Customer Success, and Solutions Engineering to accelerate our PLG motion, turning a robust sign ups & usage funnel into a predictable revenue engine and setting a new standard for AI-native GTM. Responsibilities: Drive Sales Opportunities: Proactively engage users exhibiting high-potential usage signals (e.g., specific API patterns, advanced feature experimentation, new workspace invites) to guide them toward opportunities for the sales team. Identify & Convert: Execute highly personalized, data-driven outreach sequences to connect with AI practitioners, technical leads, and business decision-makers. Your goal is to understand their platform behaviors and signals in order to generate qualified sales leads. Surface PQLs: Partner with RevOps and Growth to analyze product telemetry and surf

The opportunity Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute. 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 help our Datadogs find a work-life rhythm that works for them. What you’ll do Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product. Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery. Design clear, trustwort

Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers. These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth. If shaping the future of data-as-a-product excites you, then this opportunity is for you. As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company. You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI. These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster. In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals. By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience. The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio. This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region. Responsibilities Lead Product Strategy and Ownership Define product vision, stra

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting. We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model. What You'll Do Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes Ruthlessly prioritize t

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 their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams. What you’ll do As a senior product leader, you will lead a cross-functional team to define, incubate and scale new ML/AI applications across Stripe’s product suite, and drive our strategy and roadmap for ML/AI infrastructure powering all of Stripe’s teams. You will work closely with product leaders across business units to define and deliver on an AI-centric product strategy, launching new applications that drive incremental business outcomes. At the same time, you will be advancing our core AI technology stack to empower teams across Stripe to infuse their scenarios with Agents and agentic capabilities, with API support for agent quality and continuous improvement. Responsibilities Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications Communicate clearly and crisply with leadership stakeholders and drive alignment acr

The Senior Software Engineer is a senior individual contributor who drives the technical direction of backend services in Go and front-end applications in Vue.js that power the Topgolf guest experience across our venues and digital products. This role owns architecture and design decisions across the stack and influences engineering standards through technical guidance and mentorship, not formal people management. Job Responsibilities Own and implement architecture and technical design decisions for backend services and APIs in Go across one or more product areas Design and build complex, scalable front-end applications and components using Vue.js Define and evolve API contracts and integration patterns (REST and/or event-driven) across services Set and drive automated testing strategy and code quality standards across the stack Provide technical guidance and mentorship to engineers through code reviews, design discussions, and pairing Diagnose and resolve complex, cross-service production issues, improving logging, monitoring, and alerting practices Champion spec-driven development, authoring and reviewing technical specs and design docs for cross-team initiatives Evaluate and drive adoption of AI-assisted development tools (e.g., Claude Code, Cursor) to improve engineering velocity and code quality Critical Skills & Experience Requirements Professional software engineering experience Building backend services in Go Building front-end applications with Vue.js Working with AI-assisted development tools (e.g., Claude Code, Cursor) in a professional setting Providing technical mentorship or driving cross-team technical initiatives BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support. Develop an

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support. Deve