Staff Product Manager, Security

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.  Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. ---------------------------------------------------------------------------------------------------------------------------------- About the role... This is a high-impact, high-visibility Staff TPM role at the center of one of Duolingo's most strategic engineering initiatives: dramatically reducing the effort required to get results and doubling developer productivity across the organization. You'll lead this initiative in close partnership with the Developer Amplification (DevAmp) Area, a team dedicated to accelerating how engineers work through better tooling, streamlined processes, and modern engineering practices. AI is one important lever — but the goal is the outcome: step-change improvements in how fast and effectively Duolingo engineers can build. This role is for a builder and a change agent: someone who can define what "doubling productivity" means in practice, align leadership and engineering teams around it, and drive the transformation to completion. If you thrive in ambiguity, have a bias for outcomes, and can bring people along through significant organizational change, this role is for you.   🧠  You will... * Define and drive the roadmap for doubling developer productivity across Duolingo — aligning engineering, product, and data science around a shared vision, sequencing the work, and holding teams accountable to measurable outcomes. *  Lead organizational change management as engineering teams adopt new ways of working — building alignment, communicating progress to executives and ICs alike, and helping teams internalize new processes and tooling. * Partner closely with Developer Amplification (DevAmp) Area leads to accelerate developer productivity through AI-powered tooling, ensuring programs have clear goals, measurable impact, and sustained momentum across engineering squads. * Lead the delivery of strategic, high-impact cross-functional initiatives from conceptualization to launch, operating with significant autonomy across multiple workstreams. * Partner with engineering, product, data science, QA, and executive leadership to ensure communication and alignment; serve as the connective tissue between Duolingo strategy and day-to-day execution. * Leverage deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, resolve dependencies, remove blockers, and ensure timely and smooth launches. * Establish and evangelize engineering practices that drive step-change improvements in developer productivity — coaching engineering leads and TPMs on new ways of working and how to measure their impact. * Drive decisions when difficult tradeoffs must be made, including those with cross-organizational or company-level impact; model how to navigate hard problems with analytical rigor and a calm, decisive presence. * Identify systemic issues impacting delivery efficiency company-wide and take swift, collaborative action to resolve them. * Guide and develop other TPMs and engineering leads, scaling best practices across teams and continuously improving how the organization operates.   ✅  You have... * Proven experience as a TPM, Engineering Lead, or Engineering Manager. * B.S. or M.S. in Computer Science or equivalent degree or experience. * Demonstrated experience leading large-scale technical transformation programs with measurable organizational impact — you've shifted how engineering organizations think and work, not just shipped projects. * Strong executive presence and influence in a matrix environment — able to build conviction among skeptics, align competing priorities across senior leadership, and drive decisions without direct authority. * Deep technical credibility — enough to challenge architectural assumptions, spot delivery risks early, and earn the trust of strong engineers. * Proven ability to build and implement detailed plans that account for ambiguity, dependencies, and technical complexity — and to re-plan quickly when things change, without losing team confidence or momentum. * A track record of standing up new programs or practices from scratch in ambiguous, high-visibility environments. * Ability to relocate to Seattle, WA.   ⭐  Exceptional candidates will have... * Strong knowledge of software engineering, systems engineering, or similar hands-on technical experience, in addition to program management experience. * Strong conceptual fluency in LLM-based products, AI infrastructure, and developer AI tooling - enough to ask the right questions, challenge technical assumptions, and identify delivery risks. * Experience running programs that include machine learning, large datasets, or AI/ML infrastructure. * Experience working with AWS at scale.   ---------------------------------------------------------------------------------------------------------------------------------- The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $181,600—$272,400 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here. Job Alerts: Sign up for job alerts here. Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow. Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines. Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers. Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services. Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments. Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis. Competencies * BS/MS/PhD in Computer Science, or a related field * 10+ years of production level experience in one of: Java, Scala, C++, or similar language. * Comfortable working towards a multi-year vision with incremental deliverables. * Experience in architecting, developing, deploying, and operating large scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. * Experience with software security and systems that handle sensitive data. * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.   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 $182,400—$247,000 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.