Staff Senior Product Engineer Jobs

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff Product Security Engineer Opportunity As a Staff Product Security Engineer, you will play a critical role in safeguarding Okta’s products by conducting comprehensive security reviews, guiding engineering teams in secure development practices, and handling externally reported vulnerabilities. You will engage in code reviews, penetration testing, and architectural security assessments to ensure the security of Okta’s platforms and features. This role is not suited for individuals who rely solely on automated vulnerability scanning. Instead, you must possess a deep technical understanding of web applications, backend services, penetration testing methodologies, and secure design principles. A successful candidate will have expertise in authentication protocols (SAML, OAuth, OIDC), threat modeling, and a strong desire to automate security processes by building tools that proactively identify vulnerabilities. You will also be responsible for communicating risks, impact, and remediation strategies to developers, leadership, and external audiences through documentation, presentations, and external publications. The ideal candidate will also demonstrate a deep technical background in assessing AI-integrated software architectures and securing Large Language Models (LLMs) against emerging threats and modern vulnerability classes. The ideal candidate will have an attacker mindset—the ability to think critically, creatively, and like an adversary when solvin

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Onboarding team owns the first experience every user has after signing up for Reddit. Every new Redditor, on every platform, walks through a flow we design, and our job is to make those first interactions feel streamlined, delightful, and personal. We guide each user through the signals we need to tailor their experience, then use those signals to help them quickly discover the magic of Reddit: valuable content and communities that feel approachable, relevant, and immediately rewarding from their very first session. Few teams at Reddit sit closer to the company's growth than this one. The decisions we make in the first session compound for the entire lifetime of a user, and the difference between a flow that connects and one that doesn't is the difference between someone becoming a lifelong Redditor or never coming back. That kind of leverage is rare, and it's why this work is some of the most impactful product engineering happening at the company. We get there by combining polished product engineering, ML-powered personalization, and rigorous product experimentation, in close partnership with product, design, and data science cross functional partners. We move fast, we ship to learn, and we measure everything we ship. If you want your work to genuinely shape how millions of people experience Reddit for the first time, this is the team to do it on. What You'll Do 🏗️ Foster and Guide the Technical Strategy for Onboarding Define and accelerate the backend architecture for a newly onboarded user: the signal-collection

Zoox's Network Security team architects and defends the digital borders of the company, from corporate offices to engineering labs and product/mission environments. As Staff Network Security Architect, you own the target-state design for how Zoox segments, connects, and controls trust across enterprise IT, OT and lab networks, and hybrid cloud (AWS, GCP). You set the standards other teams build to, you are the security design authority on new infrastructure, and you are accountable for the coherence of the whole picture rather than the health of any one platform. You'll partner closely with Network Engineering, IT, Product Security, Hardware, and Software Engineering, and you'll influence far more systems than you personally operate. In This Role, You Will... Own Zoox's network security reference architecture across corporate, data center, lab/OT, and edge environments, and define the segmentation and trust model that everything else is built against Serve as the security design authority for new infrastructure: run design reviews and threat models early enough to change the design, and define the criteria under which a design is approved, conditionally approved, or rejected Translate security frameworks into buildable engineering standards. Map controls to NIST CSF 2.0, NIST 800-53, and ISO 27001 (IEC 62443 a plus for OT/lab), and turn them into reference patterns, guardrails, and acceptance criteria engineers can implement without interpreting policy Define the zero-trust and identity-to-network strategy, including 802.1X/certificate-based NAC, PKI trust hierarchy, ZTNA and remote access, and how non-human and headless lab/vehicle assets are authenticated and authorized Architect secure hybrid and multi-cloud connectivity (CloudWAN, SD-WAN, transit and inspection architectures, cloud-native controls) and define where inspection, enforcement, and logging belong Drive secure-by-design into the delivery path: encode s

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Solutions Architect, Contract LifeCycle Management. About the job We are seeking an experienced Solution Architect to build future proof next generation Q2C platforms and manage solution design for the GTMA Contract Lifecycle team and sit under the GTM Solution Architecture and Design team. This role sits at the intersection of Solution architect, User Journey mapping, Data Mapping, Integration Patterns, Salesforce platform administration and GTM technology operations. The ideal candidate combines strong business process expertise with technical depth in Salesforce and enterprise GTM ecosystems, while also driving operational excellence, scalable governance, system analysis, platform health and compliance readiness across Quote-to-Cash workflows. This leader will partner closely with the Sales Operations, GTMA Systems,GTMA Product team, Twilio Engineering team, Integration engineering team, Zuora and M

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada’s device security team has an important mission–empower the company to build the safest physical security products in the world. We are directly responsible for the development of important defensive security measures that run on all Verkada devices. We help maintain and expand security testing infrastructure that constantly evaluates devices for security vulnerabilities. And we help the company build stronger and more resilient products through our offensive security evaluation efforts. If you love building scalable systems that have a huge impact, we want to hear from you! What You'll Do Build out and maintain security infrastructure, such as internal tooling to automate device security testing. Design, build, maintain, and scale device security backend systems & tools, such as those that help u

The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work—both within and outside of Asana—and use that understanding to take action. We also own Asana's traditional search experience. As a Staff Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient Improve the quality and relevance of search results to help users find exactly what they need Expand the retrieval system's capabilities to query new Asana objects and third-party data sources Build and optimize search infrastructure using OpenSearch/ElasticSearch Contribute to ML-powered features like embeddings-based retrieval and semantic search Collaborate with cross-functional partners in New York City while building strong relationships with your Warsaw-based peers About you 6+ years of experience writing code in a production environment Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Hands-on experience in search engineering, including with OpenSearch or ElasticSearch E

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 Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, dat

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest's performance marketing engineering team owns the end-to-end systems that turn marketing dollars into measured user growth spanning attribution, bidding, budget optimization, and campaign management across major advertising platforms. This role is responsible for designing systems that scale across channels and adapt as privacy landscapes shift. What you’ll do: Lead the technical roadmap for the performance marketing platform, defining the highest-impact investments across attribution, bidding, budget optimization, and campaign management Drive hands-on engineering across ad platform integrations, event pipelines, and production systems that deploy and measure marketing spend Design and evolve the measurement stack — attribution models, conversion signal collection, incrementality methodology, and privacy-resilient approac

We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equiva

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. Summary Department Introduction The OCT Material & Filtration Engineering team supports Micron’s global manufacturing network. The team focuses on material quality, risk reduction, and continuous improvement to enable successful technology ramps and sustainable manufacturing performance. We collaborate closely with engineering, quality, procurement, and operations partners around the world. Position Overview As an OCT MTE Material Engineering Staff/Principal Engineer, you will contribute to material quality, filtration strategy, and value‑engineering efforts across multiple sites. In this role, you will help shape global material strategies, strengthen risk controls, and share guidelines that improve safety, quality, speed, and cost. This position offers opportunities to grow technical influence while making a meaningful impact on technology development and high‑volume manufacturing. Responsibilities Support and lead material quality, filtration, risk mitigation, and value‑engineering initiatives across the global network. Partner with global and site teams to define and align material technical requirements and qualifications. Develop, share, and sustain Best Known Methods (BKMs) across manufacturing sites. Collaborate with fabs to build and complete material roadmaps that support technology ramps. Facilitate global peer teams to align priorities, strategies, and execution to manufacturing goals. Plan and manage projects

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: Join our Infrastructure Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Infrastructure Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability. We are seeking Staff Infrastructure Engineers who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements. You will design robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit. You Will: Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios. Optimize Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimize our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions. Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer,

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Team: Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams. The Platform T/PgM Team is responsible for overall program governance in Infrastructure, Infra Finance, Data Engineering and Security, as well as Compliance and managing our cloud budget. What you’ll do: As a Staff Technical Program Manager focusing on cross-engineering special projects, you will identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning. Translate Strategy into Execution — Convert strategic platform priorities into structured, milestone-driven execution plans; operating at both breadth (big picture vision) and depth (dr

About Team & About Role The Site Reliability Engineering (SRE) team at Rubrik ensures the absolute reliability, availability, performance, and security of our enterprise infrastructure services, spanning both global SaaS platforms and government-compliant environments. We operate at the intersection of software development and systems engineering, prioritizing hyperscale platform automation, self-healing architectures, and structural resiliency. As a Staff Site Reliability Engineer, you will serve as a primary technical leader and architect across our broader distributed cloud systems. You will drive long-term technical roadmaps, establish cross-organizational reliability standards, and solve complex distributed systems challenges that safeguard both enterprise and public sector environments. Beyond the core SRE charter, this Staff role also leads the Application-SRE team — a US-based group that partners closely with engineering, Sales, and Support to unblock POCs, drive complex customer escalations to resolution, and convert recurring field signals into engineering and reliability roadmap items. You will be the technical leader and project owner for Application-SRE: setting direction, tracking commitments, and ensuring the team operates as a high-leverage bridge between the field and the broader engineering org. What You'll Do As a Staff Site Reliability Engineer, you will possess engineering-wide influence and take ownership of the following critical areas: Infrastructure Strategy & Architecture: Formulate and execute the architectural vision for Rubrik's Cloud Platform, optimizing backend infrastructure systems like Kubernetes, MySQL, and cloud-native services for performance, security, and multi-region scale. Hyperscale Automation & Platform Tooling: Build, scale, and maintain sophisticated custom internal tools, platform controllers, and automation frameworks in Go or Python to systematically eliminate operational toil. AI Infrastructur

Team description At Datadog, AI agents are becoming first-class consumers of observability, security, and software delivery data — from third-party coding agents like Claude Code, Cursor, and Copilot, to our own Bits SRE, Bits Assistant, and Bits Dev Agent. The Agentic Interfaces team owns the platform that connects these agents to Datadog: the MCP Server, the tools and retrieval surfaces agents call into, and — critically — the evaluation systems that tell us whether an agent's experience on Datadog data is actually getting better over time. This role is about that last piece. We're hiring a Staff Applied Scientist to define what "good" means for an Agentic interface at Datadog and to build the measurement systems that make it true. "Good" isn't one number — it spans answer quality, tool-selection accuracy, retrieval relevance, latency, token cost, and end-to-end agent success on real customer workflows. You'll design the evals, build the datasets, define the metrics, and partner with the AI engineers on the team to land the platform that lets every product group at Datadog ship integrations that are demonstrably better release over release. The space is full of open research questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when the tool catalog has hundreds of entries and grows weekly? How do you build a measurement system that catches regressions across first-party and third-party agents at once, without each team writing their own harness? If those are the problems you want to spend your time on, come build this with us. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. What You’ll Do: Own the evaluation strategy for Datadog's AI agent integrations. Define the metrics — offline and online, quali