This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. 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: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,
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Please note that the job is only available from the locations outlined. We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. 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 a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You
This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. 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: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,
About The Role & Team Amplitude is the digital analytics platform built for the AI era. The world's best product teams use Amplitude to sense how customers and, increasingly, AI agents experience their products through Amplitude Analytics, Session Replay, and Agent Analytics, all powered by one of the world's largest behavioral datasets; decide what to ship with Statsig's experimentation and feature management; and act on those insights with Wave, our proactive product agent. You'll be selling the platform at the center of how modern digital and AI products get built, in one of the fastest-growing digital markets in the world. Join our Sales team of Account Executives who know software sales and how to identify and win opportunities with some of the fastest growing and most influential digital product companies. We want the best of the best, and we make sure that top performers are rewarded. This role is a launchpad: you'll own a territory, run full sales cycles end to end, and grow upmarket as the segment grows. As an Emerging Enterprise AE, you will: Create new opportunities in the emerging enterprise segment through prospecting, networking, etc. Primary focus is to land new logos in India. Become knowledgeable across the full Amplitude platform (Analytics, Session Replay, Agent Analytics, Statsig, and Wave) and conduct discovery calls and presentations to prospective customers. Attempt new sales methods through fearlessness and willingness to take risks. Effectively sell the value of Amplitude to key stakeholders, from product, engineering, and data leaders to business buyers, while navigating a multi-threaded sales cycle. Have responsibility for expanding existing customers (working with a Customer Success team) and landing new logos. Lead territory building initiatives in the emerging enterprise segment by working with technology partners, solutions partners, product management networking groups and regional events to drive awareness, educate the market, cr
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll build and optimize the systems that detect and prevent fraud, manage credit and market risk, and protect millions of users from financial threats in real time at crypto-market scale. You'll provide technical leadership for end-to-end projects, drive architectural decisions that shape our risk detection and mitigation systems, and deliver complex features from inception through production. Your work directly reduces financial loss and keeps Coinbase users safe. What you'll do: Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) Build AI-native risk systems that leverage fleets of agents to automate complex detection a
What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Payments Risk Analyst II As a Payments Risk Analyst II on the Risk & Fraud team within the Consumer & Business group, you'll own the identification and mitigation of fraud risk across Coinbase's fiat payment rails, protecting the company's bottom line and millions of customers without degrading the user experience. You'll join a team that is modernizing its risk controls and building next-generation fraud prevention systems, giving you the opportunity to shape how we protect customers at scale across one of crypto's highest-volume retail platforms. What you'll do: Own end-to-end risk controls for ACH payments, scaling fraud prevention processes to keep pace with business expansion. Drive detection and mitigation of fraudulent deposit activity by implementing targeting logic against bad actors and high-risk behavior. Lead quantitative analysis of fraud performance, measuring rule precision and recall, assessing the financial impact of decisions, and surfacing tradeoffs to leadership with clear, data-backed recommendations. Partner cross-functionally with Product, Growth, Data Science, Risk ML, and Engineering to develop and iterate on risk management strategies, including the transition from heuristic rules to model-driven and synchronous friction controls. Execute investigations into anomalous customer and transaction behavior, proactively identifying
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. Troubleshoot technical issues related to implementati
The Team + The Role Pendo’s Professional Services team is part of the broader Strategy & Transformation organization. The team helps customers transform how they operate, not just how they use Pendo, through technical and strategic consulting. This work spans complex technical engagements, including system migrations, integrations, and data work, as well as advisory support that helps customers evolve their processes, teams, and ways of working. As a Sr. Professional Services Engineer Consultant, you will own the design and delivery of complex technical engagements. You will work at the intersection of product, data, and engineering, extending Pendo’s capabilities through custom integrations, data pipelines, APIs, and technical solutions that connect Pendo to customers’ broader ecosystems. You will partner with consultants and Customer Engineers to deliver outcome-driven engagements that accelerate time to value and enable long-term customer success. This role is based in Raleigh, San Francisco or remote What this looks like day-to-day Engagement design and scoping: Partner with Account Directors and Customer Engineers to qualify Professional Services opportunities and distinguish transformation gaps from tooling gaps. Lead scoping conversations with customer stakeholders, define the problem, validate appetite, design engagement structures, and author Statements of Work that are commercially sound and delivery-ready. Custom integrations and data solutions: Design and build technical solutions that extend Pendo’s capabilities and integrate with customer systems. Write production-quality code, build APIs, design data pipelines, and implement ETL processes across data warehouses, analytics platforms, BI tools, and emerging AI/ML systems. Technical project delivery: Own multiple complex technical projects end-to-end, including data engineering and system integration work. Lead execution, troubleshoot issues, provide technical leadership on escalated engagements, and
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Staff Analytics Engineer to lead the data foundations for the Compliance Data team within the Platform organization. This team owns the Compliance Reporting Data Platform, Coinbase's canonical source of truth for user, transaction, and compliance data, and every regulatory report at Coinbase depends on it. You'll define the technical direction for how compliance data is modeled, validated, and certified at scale, ensuring our foundations hold as products, entities, and regulatory requirements evolve, while also delivering accurate, timely data when regulators come calling. What you'll do: Own the systems, architecture, technical strategy, and roadmap for the Compliance Data, including the data models, pipelines, quality frameworks, and certification processes that the entire compliance reporting stack depends on. Build production-grade solutions, in addition to data models and pipelines, covering user, transaction, and compliance data across retail and institutional product lines, designing for durability, auditability, and consumption by both analysts and AI agents. Drive data quality at the source by establishing data contracts, validation frameworks, monitoring, and reconciliation logic that catch issues before they propagate to downstream reports or regulatory filings. Partner with upstream engineering teams, Compliance leadership, and downs
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance. As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift. About the Job Define Ads ontologies and metrics for campaigns, budgets, bids
ABOUT THE TEAM At Mural, we’re reimagining how teams think and create together. The Design and Research team brings clarity to complexity, shaping experiences that help people collaborate, ideate, and solve problems visually. We partner deeply with engineering, product, and research to invent the next generation of collaborative work combining craft, systems thinking, and bold exploration. YOUR MISSION As a Lead Product Designer focused on Growth, you’ll define how Mural earns user trust at the moments that matter most when someone first encounters the product's value, decides to go deeper, or chooses to stay. This is end to end growth journey ownership. It's about designing the logic of how Mural grows: the moments where clarity converts, where friction is a design failure, and where the line between growth and product quality either holds or breaks. You'll work across discovery, activation, and pricing surfaces, onboarding paths, upgrade flows, lifecycle touchpoints, and in-product nudges. Most importantly, you'll orchestrate how those surfaces work together and set the standard for how growth design is practiced at Mural. You'll succeed if you can bring full journey thinking, rigor and craft to a domain that often defaults to shortcuts and if you can help a cross-functional team understand what good growth design actually looks like. WHAT YOU'LL DO Player Responsibilities (Individual Contributor Work): Define high-quality, user-centered discovery, activation, and monetization experiences across problem to success flows, upgrade flows, pricing surfaces, and lifecycle touchpoints — setting patterns that scale across the platform. Work from concept to production, delivering thoughtful UX, polished visual design, and vibe coded prototypes that help the organization understand direction, risk, and value. Use behavioral data as a primary design input: interpret funnel metrics, experiment results, and user signals to inform design decisions, not just validate them. Desi
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 . Role Summary The Measurement Lead for tvScientific will own how we quantify, communicate, and optimize the impact of our CTV and performance TV investment. You will build the measurement framework for Pinterest + tvScientific, partner closely with Sales, CS, Product, and Analytics, and turn complex data into clear narratives that drive client decisions and revenue growth. What You'll Do: Develop the end-to-end measurement strategy for tvScientific campaigns, including incrementality, attribution, MMM, and test-and-learn playbooks Design and operationalize standard reporting, experimentation frameworks, and learning agendas for priority advertisers Partner with Sales and CS to diagnose performance, craft insights, and package results into compelling client-ready stories and recommendations Collaborate with Product, Engineering, and A
About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact. As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix & Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results. Responsibilities Lead the Product Algorithms portfolio across Growth, Styling, and Fix & Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences. Define the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance. Drive innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, exec
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Commercial Scaled Intelligence (CSI) team is an AI-first group focused on turning data into action—building products that drive revenue growth, operational efficiency, and better outcomes for our customers, shoppers, retailers, brands, and partners. As the Ads AI Analytics Lead, you will own the intelligence behind our Ads agents. You’ll design the semantic and context layer for advertising, and build production-grade agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will collaborate closely with Ads GTM, Product, Data Science, and Engineering to ship vertical agents with measurable lift. This seat is uniquely high-impact: the tools you build are used daily by Sales, Brand Partnerships, and Ads teams, including a sales tool used by approximately 265 sellers. Yo
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