Senior Product Security Engineer

Stripe

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 The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. WHAT YOU’LL DO As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape product vision. RESPONSIBILITIES * Architect scalable foundations. Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry. * Build API-first products. Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools. * Engineer security signals. Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights. * Define technical strategy. Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products. * Drive engineering excellence. As a senior leader, you'll set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability. * Collaborate cross-functionally. Work closely with the Stripe core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems * Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies) * Strong programming fundamentals, significant experience in languages like Java, C++, or Rust * System design leadership, a proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch * Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging * Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders PREFERRED QUALIFICATIONS * Security domain knowledge, with prior experience building security analytics, threat detection systems, or observability platforms. * Platform engineering with experience building "as-a-service" infrastructure where the primary users are other engineers or external developers. * Cloud native infrastructure, with prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform). * Product intuition and a desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering. * Front-end or full stack experience is a plus, particularly with React or TypeScript.

Databricks

P-1016 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security. In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management. The impact you will have: * Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries. * Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization. * Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss. * Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models. * Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry. * Partner with cloud providers and support confidential compute * Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud. What we look for: * 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features. * Domain expertise in data security, data privacy, and encryption * An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams. * Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts. * Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success. * Passion for designing products that simplify user experience of technically complex products.     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $129,000—$228,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

RDQ126R35 About Databricks At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation. Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed. About the Role We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions. As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms. Your Impact * Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers. * Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem. * Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities. * Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing. * Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals. * Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement. * Represent Databricks at industry events and conferences, influencing the broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform. What We’re Looking For * Deep passion for and knowledge of the broad data and AI industry. Experience contributing to open-source projects and engaging with developer communities is a plus. * 10+ years of experience building data-intensive applications or systems. Strong expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark™, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations. * Strong understanding of data security, governance, and compliance frameworks (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines. * Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives. * Ability to mentor engineers, influence architectural decisions, and advocate for best practices. * Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally. * Bias for action and commitment to delivering high-quality solutions. Join us in shaping the future of the Databricks ecosystem and enabling the next generation of data and AI innovation.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $217,100—$298,550 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.