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Systems Software Engineer, Security, First Party H...
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: - Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment. - Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices. - Own device identity, provisioning, enrollment, attestation, certificate lifecycle, and key-management requirements across manufacturing and data center bring-up. - Harden management interfaces and operational access paths across BMCs, hosts, accelerators, switches, and service tooling, including TLS/mTLS, Redfish, gNMI, SSH, syslog, and break-glass workflows. - Drive security requirements for manufacturing, supply chain, firmware/image signing, storage encryption, RMA, repair, and decommissioning processes. - Build and drive validation for security-critical hardware and firmware behavior, including debug lockout, lifecycle transitions, update paths, attestation evidence, and recovery flows. - Partner with vendors and contract manufacturers to turn security requirements into concrete deliverables, test evidence, and launch gates. - Drive end-to-end closure across design, implementation, manufacturing readiness, deployment readiness, fleet operations, and incident response when security issues arise. - Investigate hardware and firmware security issues, assess exploitability and operational risk, and drive durable fixes with engineering owners. You might thrive in this role if you have: - 7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in hardware security, embedded security, firmware security, platform security, or low-level systems security. - Experience shipping or securing real hardware platforms, embedded devices, servers, accelerators, networking systems, BMCs, bootloaders, BIOS/UEFI, RTOS, kernels, or firmware update systems. - Deep familiarity with secure boot, measured boot, TPMs, hardware roots of trust, device attestation, key provisioning, debug interfaces, firmware signing, recovery, or lifecycle-state design. - Strong applied-cryptography judgment for secure boot, attestation, TLS/mTLS, key storage, certificate lifecycle, storage encryption, and long-range transitions such as post-quantum readiness. - Ability to read and write systems code in C, C++, or Rust and to use that skill to review, prototype, test, or debug security-critical behavior. - Comfort with hardware-software interfaces such as SPI, I2C, SMBus, PCIe, UART, JTAG, SWD, GPIOs, TPMs, and board-level debug tools. - Proven track record driving security improvements with hardware, firmware, infrastructure, manufacturing, operations, and partner teams. - Experience owning broad, ambiguous security programs end to end, including translating risk into technical requirements, validation plans, and accountable engineering decisions. - Clear written and verbal communication, with the ability to turn ambiguous security risks into actionable requirements, design reviews, tests, and decisions. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff + Senior Software Engineer, Inference Infras...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different enviro
Staff+ Software Engineer, Caching
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities - Drive the technical direction for caching infrastructure used across Product and Research - Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem - Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers - Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases - Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments - Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths - Build observability and tooling that makes cache behavior easy to understand and debug - Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work - Make build-vs-buy decisions for caching technologies Minimum qualifications - Significant experience as a software engineer building and operating production distributed systems - Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes - Experience operating Redis, Memcached, or similar in-memory data stores in production - Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred qualifications - 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams - Experience building managed infrastructure platforms or internal services consumed by many engineering teams - Experience with change data capture (Debezium or similar) or streaming data infrastructure - Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale - Experience designing client libraries or SDKs fo
Senior Staff Software Engineer, Core Automation
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 Staff Software Engineer on the Core Automation team within Platform , you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains. What you'll do: - Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation - Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains - Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions - Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale - Mentor engineers across the team on system design, coding standards, and AI/ML best practices Required Skills and Experience: - 12+ years of backend software engineering experience, with deep proficiency in Golang or similar systems languages - Proven track record shipping LLM-based or Agentic AI applications to production, including measurable improvements in grounding and hallucination reduction - Demonstrated ability to architect distributed systems handling massive scale, with experience navigating ambiguous problem spaces to deliver high-impact solutions - Experience partnering with non-technical stakeholders (compliance, operations, customer support) to define requirements and drive adoption of technical platforms - Track record of influencing technical direction across multiple teams and mentoring senior engineers - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Staff Applied Scientist - Dashboards
The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action – providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas. We're hiring a Staff Applied Scientist to define and guarantee the quality of this AI system at scale. "Good" isn't one number — it spans answer quality, tool-selection accuracy (critical given the growing catalog of data sources and visualizations), retrieval relevance, latency, token cost, and end-to-end agent success. The space is full of open questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when a user’s query can result in the agent making decisions against dozens of visualizations and data sources – both of which are growing month over month? How do you build a measurement system that catches regressions across all widget types and data sources (e.g., enforcing correct grouping, sorting, and time overrides), and is easy to use and extend by dozens of teams? If those are the problems you want to spend your time on, come build this with us. 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: - Own the evaluation strategy for Dashboards, as well as sister teams within our organization. Define the metrics — offline and online, quality and cost, single-turn and multi-turn — that the team and the broader organization optimize against. - Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, and make those assets reusable by every team that is building dashboards and widgets through agents - Drive measurable improvements to retrieval relevance, tool-selection accuracy, and context efficiency, partnering closely with the engineers on the team. - Provide technical leadership across the Dashboards team and the broader organization through design reviews, working groups, and mentorship. Who You Are: - You have a BS/MS/PhD in a scientific field, or equivalent experience. - 10+ years of relevant engineering or applied science experience, including time as a technical lead. - Proven track record of leading ML or GenAI initiatives in a product-driven environment, from research through production. - Significant experience with evaluation, experimentation, or measurement of ML systems at scale. - You bring a strong product mindset and are comfortable driving initiatives across cross-functional teams. - You thrive in ambiguity and can make sound technical calls when the path isn’t yet defined. 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. Benefits and Growth: <li data-renderer
Product Manager, Claude Tag
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Product Manager for Claude Tag, you will bring Claude Tag to where work collaboration happens. Claude Tag is a multiplayer and proactive agent that lives in your collaboration tools. It’s changed how we work at Anthropic: our internal version of Claude Tag writes 65% of merged PRs for our products. Claude Tag is well adopted across roles and is used for data analyses, building prototypes, reviewing legal tickets, handling customer support questions, and 100s of other tasks. We launched Claude Tag on Slack, and we are expanding it to more surfaces. You will make Claude Tag successful on new surfaces, including working with early adopters, customizing the core interaction paradigm for the surface, designing delightful onboarding, and working with external partners. You should be equally comfortable building relationships with top customers to inform the product evolution, debugging a permissions bug or model behavior with engineers, and presenting product strategy to executives. Responsibilities: - Define Claude Tag's core interactions on the surface, tailoring the interaction model to fit the surface. - Own the strategy and roadmap for bringing Claude Tag to new collaboration surfaces beyond Slack - Own the external partnerships that make those surfaces possible, from first conversation through shipped integration - Own adoption from design partners to scaled rollout at the largest companies You might be a good fit if you: - Have a combined 8+ years in product management, or equivalent experience driving product direction - Have shipped platform integrations or ecosystem products, and owned the partner relationship - Have strong instincts for multiplayer and collaborative product design, where the experience is shared and public rather than private - Have a strong grasp of model capabilities and work fluently with engineering teams on technical products. An engineering background is not required - Are energized by ambiguity and bring structure to it rather than waiting for it - Have a creative, hacker spirit and love solving puzzles San Francisco and Seattle only The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Senior Product Design Manager
About Scale AI Scale AI accelerates the development and deployment of AI, from the high-quality training data and evaluation services that power the world's leading AI labs, to full-stack AI applications built for Enterprise, U.S. Public Sector, and Global Public Sector customers. We don't just hand over a model; we find the highest-value use case, build the system around it, and own the outcome, whether that's an agent supporting mission planning for the Department of Defense, a sovereign AI platform for a government ministry, or an agentic workflow inside a Fortune 500 enterprise. Our platform powers breakthroughs at the frontier of AI, and great design is how we make that power accessible, intuitive, and trusted by the teams who rely on it every day. The Role We're looking for a product design leader to lead and grow our enterprise team. What You'll Do - Set the direction for Enterprise design. Define what exceptional design looks like for Scale's Applications customers making high-stakes decisions and for the expert contributors powering the platform. Translate the broader design vision into a clear, motivating direction for your team. - Build and lead the team. Own hiring, development, and day-to-day leadership for a growing team of designers. Create the culture and operating rhythms that let them do their best work. - Drive design execution across the Enterprise product. Partner with your Product and Engineering counterparts to set priorities and ensure design is involved from problem scoping through delivery, not brought in at the end. - Raise the craft bar. Uphold design principles and quality standards on your team. Push designers beyond digitizing workflows toward genuinely rethinking how people work with AI. Hold the line on quality without slowing delivery. - Contribute to the design system. Help shape and adopt Scale's shared design system, championing consistent component use and contributing patterns back so a distributed team can build coherently at speed. - Ground the team in user needs. Build the research habits and cadences that keep your team's decisions rooted in what enterprise customers and users actually need, and advocate for that discipline with your Product and Engineering partners. - Shape Scale's approach to human-agent interaction. Scale's core value is human-in-the-loop AI, and the interface is where trust is built or lost. Help define the interaction patterns for how enterprise users work alongside AI agents, and contribute to Scale's growing point of view on this emerging space. Who you are - 3+ years managing product design teams - Proven track record of simplifying data-dense, power-user workflows into elegant solutions for B2B and beyond - Deeply customer-centric, with a track record of grounding design decisions in real user needs and business impact - Fluent in how AI is changing design practice and tooling; building AI-native workflows for your team - Experience designing for agentic platforms, and excited to shape the future of interaction patterns for AI and human-in-the-loop systems - Balance speed and quality; you know how to prioritize ruthlessly and get the team shipping without dropping the craft bar - Excellent communicator. You can present to a leaders and a front
Senior Customer Engineer, Sweden
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Sweden About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Senior Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate a
Staff+ Application Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: - Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it - Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks - Evolve a public bug bounty program where automation handles routine triage and root-cause work, and engineers handle escalations and corner cases - Partner with Product, Infrastructure, and Research teams as an embedded security owner — consulting on launches, shaping architecture, and influencing decisions where security is the constraint - Share an operational on-run rotation with the rest of the team — bounty escalations, incident response, and launch consults on systems serving Claude in production Minimum qualifications: - Hands-on application and infrastructure security experience, including cloud and containerized environments - Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript, with a track record of building durable systems rather than one-off scripts - Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems, even if breaking isn't your primary mode - Demonstrated ability to operate with high autonomy and ambiguity — comfortable being handed a problem and a lot of latitude rather than a spec - Clear technical communication with both engineers and leadership Preferred qualifications: - 7+ years in application security, security engineering, or security-focused software engineering - Already use LLMs as a core part of how you work, with opinions about where they help and where they don't&l
Senior AI Product Manager, Leaderboard
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. We’re looking for a Senior AI Product Manager to own and scale Scale’s SEAL Leaderboard portfolio. In this role, you will define the strategy, roadmap, and operational excellence of Scale’s evaluation products, benchmarks, and public/private leaderboards. You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To-Market teams to transform cutting-edge model evaluations into trusted industry benchmarks that influence model development and purchasing decisions across the AI ecosystem. You will serve as the product owner for leaderboard initiatives, driving benchmark innovation, governance, infrastructure, customer adoption, and business impact. You will work directly with leading AI labs and enterprise customers, representing Scale as a thought leader in AI evaluation and measurement. The ideal candidate combines strong product judgment, technical fluency, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into scalable evaluation products. You Will - Own the roadmap and strategy for Scale’s SEAL Leaderboard portfolio, defining priorities across benchmark development, leaderboard launches, infrastructure investments, and product expansion. - Facilitate the Leaderboard Steering Committee and drive alignment across AI-PM, ML, Engineering, Operations, and GTM stakeholders. - Evaluate, prioritize, and operationalize new leaderboard proposals, ensuring alignment with customer demand, market opportunities, and company strategy. - Define and manage the end-to-end leaderboard product lifecycle, from ideation and benchmark design to launch, growth, maintenance, and sunset decisions. - Partner with ML researchers and domain experts to develop trustworthy evaluation methodologies, benchmark specifications, and leaderboard scoring frameworks. - Drive the roadmap for leaderboard infrastructure, automation, and operational tooling to improve scalability, reduce manual effort, and accelerate benchmark releases. - Establish governance processes for benchmark quality, evaluation integrity, release management, auditability, and update cadence. - Work directly with frontier AI labs and enterprise customers to understand evaluation needs, gather feedback, and influence future leaderboard investments. - Track adoption, usage, customer impact, and business outcomes, using data-driven insights to guide roadmap decisions and resource allocation. - Identify new evaluation categories, benchmark opportunities, and leaderboard products that strengthen Scale’s industry leadership and create new revenue opportunities. - Collaborate closely with GTM teams to support customer engagements, thought leadership initiatives, product launches, and strategic partnerships. Ideally, You’d Have - 5+ years of experience in product management, technical program management, consulting, or customer-facing technical roles. - Strong technical fluency, including familiarity with machine learning systems, AI model evaluation, benchmarking, or data products. - Experience building and scaling products that require coordination across engineering, operations, and business teams. - Excellent stakeholder managemen
Senior Staff Software Engineer, Data Platform
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 Staff Software Engineer on the Data Platform team within Platform , you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering. You'll set architectural direction, drive multi-quarter roadmaps, and transition the organization from managed-service dependency toward engineering-built, platform-grade infrastructure that powers everything from fraud detection to modern multi-agent AI architectures. What you'll do: - Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems while driving engineering-led cost reduction at the infrastructure layer. - Architect data infrastructure to natively support AI and ML workloads, ensuring pipelines, data lake systems, and compute can power ML training, feature stores, real-time inference, and multi-agent AI architectures at scale. - Drive the evolution to near-real-time data availability, enabling downstream teams across Coinbase to act on fresher data for fraud detection, financial reporting, and analytics. - Build alignment and secure commitment from senior leadership and cross-functional partners across product, infrastructure, analytics, ML, privacy, security, and compliance on technical priorities and tradeoffs. - Serve as the primary technical voice for Data Platform in org-wide forums including OKR planning, architecture reviews, and long-term infrastructure strategy, while elevating senior engineering talent. Required Skills and Experience: - 12+ years building and operating large-scale distributed data infrastructure, including streaming platforms, data lakes, batch and real-time processing engines, and query/serving layers. - Record of owning end-to-end technical strategy and architecture for an entire data domain across multiple teams, with demonstrated success transitioning organizations from managed-service dependency toward platform-grade, engineering-built infrastructure. - Deep systems thinking across the full data lifecycle, with ability to reason about performance, reliability, cost, security, and privacy at each layer. - Demonstrated experience designing data systems that support ML training pipelines, feature stores, real-time inference, or AI agent workloads at scale, with familiarity across technologies such as CDC, Kafka, Databricks, Snowflake. - Platform mindse
Senior Staff Software Engineer, Identity Infrastru...
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: - Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. - Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. - Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. - Improve the reliability, observability, performance, and operational maturity of identity infrastructure that supports mission-critical systems and workflows. - Lead ambiguous, high-impact technical initiatives across security, infrastructure, and engineering teams, driving alignment and execution across multiple stakeholders. - Partner closely with engineers, researchers, and security teams to build scalable access patterns and infrastructure that enable rapid development while maintaining strong security boundaries and operational rigor. - Raise the engineering bar through strong technical judgment, thoughtful system design, operational excellence, and long-term ownership of critical infrastructure. You might thrive in this role if you have: - 10+ years building and operating large-scale infrastructure, platform, or backend systems. - Deep experience with cloud infrastructure, identity systems, distributed systems, and infrastructure-as-code. - Experience leading complex technical initiatives across teams and driving architecture in ambiguous environments. - Experience building security-critical systems involving authentication, authorization, access governance, privileged access, or policy enforcement. - Strong software engineering fundamentals with experience in Go, Rust, Python, or similar languages. - Ability to debug across code, cloud infrastructure, identity systems, networking, and operations. - High bar for reliability, security, auditability, and operational rigor in mission-critical systems. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Software Engineer, EAA CX
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 . Staff Software Engineer (EAA) The Customer Experience (EAA-CX) sub-organization within Coinbase's Enterprise Applications and Architecture (EAA) group builds and operates the secure, Tier-1 platforms that power internal investigative and support workflows for approximately 7,000 specialists across CX, Compliance, Legal, Global Investigations, and Trust and Risk. As a Staff Software Engineer, you'll operate as a technical anchor across 8 globally distributed EAA-CX engineering squads, identifying high-leverage AI and developer-experience opportunities, architecting solutions on Coinbase's production AI infrastructure, and driving platform excellence that raises Tier-1 engineering quality across the portfolio. What you'll do: - Own the EAA-CX AI maturity and developer-experience roadmap in partnership with engineering leadership, embedding with squads to surface opportunities, prototyping on Coinbase's existing AI platform, and driving adoption through working demos and feedback loops. - Lead platform excellence workstreams that improve reliability, observability, change-failure rate, and operational readiness for Tier-1 systems, partnering with engineering managers to ensure practices persist on the teams. - Define build-versus-buy strategy for developer-experience and AI tooling across EAA-CX, evaluating what to build internally, adopt from partner teams, procure from vendors, or retire. - Provide Staff-level architectural coverage across squads facing complex challenges, ramping in to land architecture or delivery and ramping off while maintaining portfolio-wide coherence. - Build highly reliable, secure distributed backend services with full SLO ownership, observability, and incident response, ensuring automated outputs and production changes are traceable, reviewable, and safe in a regulated environment. Required Skills and Experience: - 8+ years of software engineering experience with a demonstrated track record architecting and delivering large-scale distributed systems, including deep proficiency in backend service design, API development (gRPC, MCP, GraphQL), and scalable microservices architectures. - Proven ability to independently lead ambiguous, high-impact technical initiatives from whiteboard to production across multi-team problem spaces, writing high-quality, well-tested code that sets the standard for others. - Strong experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases. - Track record building secure, compliant internal tools or platforms with deep appreciation for security controls, access management, audit logging, and data
Technical Program Manager, Knowledge Systems
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 . Team/ Role Paragraph: The Knowledge Systems team builds the infrastructure powering accurate knowledge across customer self-service, internal tools, and AI-assisted support. As Technical Program Manager, you will translate knowledge strategy into technical execution. This is a systems-focused role bridging customer experience, knowledge operations, and technical delivery to build the foundation required to scale support without scaling headcount linearly. What you’ll do: - Own technical programs that improve the systems, tooling, and workflows behind customer self-service, internal support knowledge, and AI-assisted discovery (e.g., RAG pipelines, semantic search, and agentic workflows). - Drive cross-functional alignment across Knowledge Systems, engineering, product, and partner teams to translate complex knowledge taxonomies and unstructured data into clear technical specifications, APIs, schemas, and execution plans. - Lead the planning and delivery of high-leverage initiatives such as workflow automation, knowledge system modernization, CMS improvements, metadata and structure enhancements, and launch-readiness tooling. - Partner with Knowledge Systems leads to ensure knowledge is accurate, structured for machine-readability and actionability, ready ahead of launch, and governed appropriately for customer, specialist, and compliance needs. - Build and run an operating cadence for technical initiatives, including roadmap tracking, dependency management, risk escalation, and delivery accountability. - Identify opportunities to reduce manual work, improve scale, and prevent headcount from growing linearly with business complexity and launch volume. Required skills and experience: - 5+ years of technical program management, systems implementation, or operational program leadership in a complex cross-functional environment. - Deep familiarity with modern information retrieval architectures (such as vector databases, RAG, and LLM orchestration tools like LangChain or LlamaIndex) alongside CMS platforms, structured content, and metadata models. - Strong systems thinking and operational judgment, with the ability to connect technical decisions to customer impact, specialist usability, compliance risk, and business performance. - Experience translating operational strategy into technical requirements, data schemas, and tooling investments. - Strong understanding of content systems, knowledge management, workflow automation, and internal tooling in operations or CX environments. - Proven ability to drive alignment across technical and non-technical stakeholders, especially where ownership is distributed and tradeoffs must be actively managed. - Demonstrated
Senior Customer Engineer - Calgary
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Alberta, Canada About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Inst
Software Engineer - Privacy & Compliance
We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation. What You’ll Do - Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections. - Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes. - Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable. - Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs. - Harden data platforms and backend services through schema-level controls and data handling constraints by default. - Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations. - Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization. You Might Thrive in This Role If You Have - 5+ years of industry experience building and operating backend or infrastructure systems in production. - Strong software engineering fundamentals , with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java). - Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines. - Familiarity with global privacy regulations and their architectural implications. - Ability to influence and collaborate with teams across legal, compliance, product, and engineering. - A bias toward practical, impactful solutions that balance privacy protections with product needs. Nice to Have - Experience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems. - Background in security engineering, privacy engineering, or data governance. - Experience with control-plane or metadata-driven enforcement systems. - Exposure to data platforms or ML infrastructure. - Prior experience in a regulated or highly sensitive data environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Applied Scientist - Agentic Interfaces
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, quality and cost, single-turn and trajectory-level — that the team and the broader organization optimize against. - Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, and make those assets reusable by every team contributing tools to the platform. - Drive measurable improvements to retrieval relevance, tool-selection accuracy, and context efficiency, partnering closely with the AI engineers on the team who build the underlying platform. - Run applied research on the open problems in agent–data interaction: tool selection under large catalogs, multi-turn agent evaluation, grounding and hallucination control on live telemetry, cost/quality tradeoffs at scale. - Partner with the Bits SRE, Bits Assistant, and Bits Dev Agent teams so first-party agents benefit from the same measurement substrate as third-party integrations, and so learnings move freely in both directions. - Provide technical leadership across the Agentic Interfaces team and the broader organization through design reviews, working groups, and mentorship, and represent the team externally through talks, blog posts, and contributions to the open agent ecosystem. Who You Are: - You have a BS/MS/PhD in a scientific field, or equivalent experience. </li
Senior Product Manager, Help Center (CX Automation...
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 . The CX Automation team within Enterprise Applications & Architecture engineers seamless, intelligent customer experiences by maximizing automation across support surfaces. As Senior Product Manager for the Help Center, you’ll own Coinbase’s primary self-service channel—where most customers first seek support. You’ll drive Automation Rate and customer satisfaction by building AI-powered search, personalized article experiences, and self-service workflows that resolve issues before they reach an agent. What you’ll do - Own the Help Center roadmap across search quality, article strategy, AI summaries, and self-service flows serving millions of global customers. - Improve Automation Rate and CSAT by identifying high-impact opportunities to deflect contacts via better self-service, smarter surfacing, and proactive resolution. - Build AI-integrated search and content experiences with ML/LLM partners to enhance relevance, summaries, and contextual Quick Actions. - Partner with CX Ops, Content Design, Engineering, and Data Science to maintain accurate, high-coverage knowledge across geographies and languages. - Define and track funnel metrics (Automation Rate, Search AtR, CSAT, escalation rate) and use data to drive prioritization. - Collaborate with internal platform teams and 3P vendors to keep chat, voice, and agent-tool integrations seamless and current. Required Skills and Experience - 5+ years in product management owning customer-facing surfaces, content platforms, or self-service products. - Experience building or improving search, knowledge management, or self-service—ideally with AI/ML-powered search, recommendations, or RAG retrieval. - Proven ability to define and use support/self-service metrics (automation, deflection, CSAT, escalation) to inform decisions. - Strong cross-functional collaboration across content, engineering, operations, and analytics without owning end-to-end UX. - Experience with Help Center or knowledge base platforms (Contentful, Zendesk, Freshdesk, Salesforce, or similar CMS/support tooling). - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. <div class="description"&g
iOS Engineer, Applied Foundations
About the Team OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior iOS engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable iOS foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale. In this role, you will: - Build and ship new experiences on iOS that showcase the power of AI. - Optimize app performance, reliability, and responsiveness at global scale. - Design and maintain shared iOS frameworks and primitives for account, trust, and commerce flows that are used across OpenAI’s mobile apps. - Establish robust testing frameworks and refine app architecture for long-term maintainability. - Collaborate with product, design, research, and backend teams to deliver high-impact features. - Provide technical leadership to shape the future of OpenAI’s iOS platform. You might thrive in this role if you: - Have 4+ years of professional software engineering experience. - Have a proven track record of building high-quality iOS applications in production, especially for systems that need to be reliable and resilient at scale. - Have owned complex, business-critical mobile systems end-to-end. - Have experience making deep architectural tradeoffs on iOS. - Are fluent in Swift and familiar with the Apple development ecosystem (Xcode, UIKit, SwiftUI). - Care deeply about performance, security, and user experience. - Enjoy working cross-functionally to bring ambitious product ideas to life. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Cloud Agents
About the Team The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI. About the Role We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful. In this role, you will: - Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API. - Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions. - Improve reliability, security, performance, and cost efficiency for long-running agents. - Deploy services that can operate across different environments and clouds. Your background might look something like: - 9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies. - Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems. - Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries. - Strong understanding of distributed systems, cloud platforms, and production reliability. - Enjoy abstracting away complex infrastructure and building platforms for product engineers to move faster. - Care about building platforms for other engineers and developers, and enjoy working closely with users to make complex infrastructure feel simple. - Comfort with a fast-moving pace while caring for security and operational excellence. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Product Manager - Data Agent
Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. 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 - Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets) - Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs - Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions) - Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops - Define how observability data and business data come together to serve unique use cases - Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust - Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs - Work on the product pricing - Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools Who you are - 5+ years of experience in B2B SaaS Product Management, with at least some of it spent on data-intensive or analytics products - You have domain knowledge of business intelligence, data visualization, semantic layers, data warehouses and the modern data stack. - Strong analytical skills - you can write SQL, interpret complex data, and use data to drive product decisions - Experience with AI/LLM-powered products is a strong plus - you understand prompt engineering, evals, and the unique UX challenges of non-deterministic systems - You are AI-pilled. You live in Claude Code or Cursor, have built unique AI workflows for yourself, hack around with new tools. etc - You have a strong sense of ownership with an entrepreneurial mindset - this is a 0-to-1 product that requires someone comfortable with ambiguity and speed - Sharp communication skills with the ability to interact with technical stakeholders and executives alike. - Bachelor's Degree in Engineering, Computer Science, Data Science, or equivalent experience is a plus 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. Benefits and Growth: - Generous and competitive benefits package - New hire stock e
Sr. Director of Product Management, Core Platform
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ’s AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more. The AISim division is looking for a seasoned Senior Director of Product Management reporting to the Vice President of Product to own the product strategy and roadmap for the shared platform foundation that underpins both the BioSim and ChemSim businesses. This senior leadership role involves building, growing, and managing a team of 5-6 PM ICs across ML Platform, Data, Agentic, Core Infrastructure, Trust, and Partner integrations, while remaining directly involved in day-to-day execution until the team is fully ramped. This role will drive end-to-end platform strategy, vision, and execution, including critical build-vs-buy decisions. Additionally, they will establish data-driven operating rhythms, define metrics to measure success, and be accountable for platform OKRs. KEY RESPONSIBILITIES - Set and own end-to-end platform strategy, vision, and roadmap across BioSim and ChemSim, including build-vs-buy decisions. - Hire, grow, and lead a team of 5-6 PM ICs across ML Platform, Data, Agentic, Core Infrastructure, Trust, and Partner Integrations — driving key deliverables personally until the team is fully ramped. - Balance competing internal and external customer needs across several distinct domains. - Establish a data-driven operating rhythm: define the metrics that matter, present them in business reviews, bridge variances to OKRs, and drive course corrections. ESSENTIAL SKILLS & EXPERIENCE - 10+ years in product management, including 5+ years managing individual contributors. - Strong platform or infrastructure product background — e.g., MLOps, data platforms, scientific engines, or developer tools. - A track record of building and shipping enterprise-grade commercial platforms. - Experience with multi-tenant SaaS and enterprise security/compliance (e.g., HIPAA, SOC 2, FedRAMP) and API governance. - Demonstrated ability to thrive in ambiguous, fast-moving environments and turn unclear customer problems into scalable products. - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. HIGHLY DESIRED SKILLS & EXPERIENCE - MBA or equivalent business leadership experience. - Familiarity with AI/ML platform requirements across inference, training, fine-tuning, agentic AI, and federated learning. - Deep domain expertise in scientific simulation software for drug discovery and/or materials research. - PhD in Computational Chemistry, Computational Biology, or Biomedical Engineering. - Physically located in the Greater Seattle Metropolitan area or SF Bay Area WHY JOIN US? We offer a comprehensive and competitive benefits package designed to support your hea
Manager, Software Engineering - AI Observability
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms. - Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality. - Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces. - Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company. - Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation. - Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows. - Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution. We'd love to hear from you if you have: - 4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale. - A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team. - Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products. - Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows. - A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments. While not
Senior Manager, Customer Engineering, India
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Remote, India Responsibilities - Lead the technical customer-facing organization in India, reporting into APAC Customer Engineering leadership, and is accountable for building a high-performing, AI-augmented technical go-to-market team that drives new business, adoption, retention, and expansion. - This role is both a people leadership role and a commercial technical leadership role. It is designed for a leader who can coach customer-facing technologists, shape regional technical strategy, and partner closely with sales, product, and customer success to deliver measurable business outcomes. - Lead and develop the India Customer Engineering team across enterprise and strategic accounts. Act as a player-coach: maintain strong individual technical contribution while enabling the team. - Serve as the point of reference for the team on complex customer architecture, escalations, and solution design. - Own regional technical strategy for discovery, demos, architecture design, PoCs, onboarding support, QBRs, renewal support, and expansion plays. - Partner with Account Executives to drive technical validation and help close new business. - Keep workloads balanced, support onboarding of new team members, and ensure the team is set up for success. - Conduct regular 1:1s, provide constructive feedback, and coach team members on discovery, solution architecture, executive communication, and business-value translation. - Build and run the operating cadence for pipeline inspection, technical deal support, adoption reviews, and account expansion planning. - Hire, retain, and develop top CE talent; build succession plans and bench strength. - Facilitate cross-team coordination with Sales, Product, Engineering, and Customer Support to resolve issues quickly and keep customers moving. - Surface regional feedback, product gaps, and competitive insight to product and engineering. Represent Cloudflare in executive customer meetings, regional events, and partner discussions. Desirable Skills,
Senior AI Product Manager, Code
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. Coding is one of Scale's strongest and fastest-moving domains. We built SWE-Bench Pro , a contamination-resistant benchmark of 1,865 long-horizon software engineering tasks across 41 repositories — including a first-of-its-kind private set drawn from proprietary startup codebases — which cut frontier model scores from over 70% on SWE-Bench Verified to roughly 23%, and became a reference point for how the industry measures coding agents. We then extended that foundation with SWE Atlas , an evaluation suite spanning Codebase QnA, Test Writing, and Refactoring, which measures the full engineering loop rather than issue resolution alone. And we are among the largest external contributors to the FrontierBench (Formerly Terminal-Bench ) lineage, contributing more tasks than any other single organization to the launch set. We're looking for a Senior AI Product Manager to own and scale this Coding portfolio from here. In this role, you will define the strategy, roadmap, and operational excellence of Scale's coding data products, RL environments, and agentic coding evaluations. You will work across AI Product Management, ML Researchers, Engineering, Operations, and Go-To-Market teams to turn our benchmark credibility into a durable, revenue-generating product line that leading labs depend on to train the next generation of software engineering agents. You will serve as the product owner for coding initiatives, driving task design, environment infrastructure, expert contributor quality, customer adoption, and business impact. You will work directly with leading AI labs and enterprise customers, representing Scale as a thought partner in how coding models are trained and measured. The ideal candidate combines strong product judgment, hands-on technical depth in software engineering, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into scalable data products. You Will - Own the roadmap and strategy for Scale's Coding portfolio, defining priorities across SFT and preference data, reinforcement learning environments, agentic task suites, and evaluation products. - Extend the SWE-Bench Pro and SWE Atlas franchises; deciding what comes next as agents saturate current tasks, and converting benchmark authority into training-data and environment revenue. - Facilitate exploration of the Coding domain and drive alignment among AI-PM, ML, Engineering, Operations, and GTM stakeholders. - Evaluate, prioritize, and operationalize new coding product proposals, ensuring alignment with customer demand, model capability frontiers, and company strategy. - Define and manage the end-to-end coding product lifecycle, from ideation and task taxonomy design to pilot, launch, scaling, and sunset decisions. - Partner with ML researchers and senior software engineers to develop trustworthy task specifications, rubric and grader design, verifiable reward signals, and quality bars for code correctness. - Drive the roadmap for coding infrastructure; Harbor-native container environments, execution sandboxes, reproducible repo images, automated verification, and contributor tooling — to improve scalability, reduce manual effort, and accelerate delivery. - Establish gover
Engineering Manager (API Platform)
PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). This role is ideal for seasoned engineering managers who are unusually passionate about providing the world with programmatic access to the building blocks of frontier intelligence. KEY RESPONSIBILITIES - Provide both technical and team leadership across multiple layers of our rapidly growing API business. - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team; develop rigorous interview pipelines and work closely with recruiting to source candidates. - Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs. - Track and ensure progress toward top-line business goals, in close coordination with engineering and business executives. QUALIFICATIONS - Entrepreneurial attitude; able and eager to run more than just engineering. - Proficiency in Python (bonus points for Go and/or Rust). - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining h
Staff+ Software Engineer, Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable
Software Engineer, ChatGPT Shopping
About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will - Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. - Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. - Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. - Develop scalable backend systems that power personalized, real-time product experiences. - Work with multimodal capabilities including text, images, and interactive UI components. - Iterate quickly using user feedback, experimentation, and product metrics. - Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You - Have significant experience building consumer-facing products end to end. - Are comfortable moving across frontend, backend, infrastructure, and product architecture. - Care deeply about craft, user experience, and product quality. - Enjoy ambiguity and are energized by taking ideas from zero to one. - Think like both an engineer and a product builder. - Have strong systems thinking while maintaining exceptional attention to detail. - Communicate well across engineering, design, product, and research teams. Preferred Qualifications - Strong experience with modern frontend technologies (React, TypeScript, Next.js, or similar). - Experience building scalable backend services using Python, Go, Node.js, Rust, or comparable technologies. - Familiarity with distributed systems, APIs, and cloud infrastructure. - Experience building highly interactive consumer products. - Background working with AI, machine learning products, search, recommendations, personalization, or multimodal systems is a plus. - A track record of shipping products quickly while maintaining engineering quality. What Success Looks Like Successful engineers on this team combine strong technical execution with excellent product judgment. They move fluidly between prototyping and production systems, collaborate effectively across disciplines, and consistently deliver experiences that feel intuitive, elegant, and magical to users. They are excited by fast iteration, comfortable making decisions with imperfect information, and motivated by building products that redefine how people use AI every day. Why OpenAI At OpenAI, you'll work alongside some of the world's best researchers, engineers, designers, and product thinkers to build AI that benefits everyone. We value curiosity, ownership, humility, and a bias toward shipping impactful products. If you're excited about inventing new consumer experiences powered by frontier AI—and want to help shape the future of how millions of people interact with technology—we'd love to hear from you. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Group Product Manager, Compliance Automation
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 . The Product Foundations team within Coinbase's Platform product group builds the systems that protect Coinbase, our customers, and the broader crypto ecosystem, powering identity verification, money movement, and regulatory compliance across every jurisdiction. As the Group Product Manager for Compliance Automation, you'll lead the product vision and multi-year strategy for the AI/ML-powered systems that automate Coinbase's regulatory obligations, including sanctions screening, transaction monitoring, suspicious activity detection, and risk-based compliance workflows. Compliance operations represent one of Coinbase's largest investments, and you'll own the strategy to strengthen and scale those capabilities through intelligent automation, reducing cost and regulatory risk while enabling the company to operate and grow globally. What you'll do: - Own the product vision and multi-year roadmap for Coinbase's Compliance Automation platform, covering sanctions screening, transaction monitoring, suspicious activity detection, and risk-based compliance workflows. - Lead a team of PMs to define, prioritize, and deliver AI/ML-powered capabilities that reduce manual compliance effort, increase detection accuracy, and scale compliance operations across jurisdictions. - Drive significant cost optimization by identifying and executing automation opportunities across one of Coinbase's largest operational cost centers, without increasing regulatory risk. - Partner with Compliance, Legal, Trust & Risk, Engineering, and Data Science to ensure automation systems meet regulatory requirements while enabling product velocity. - Shape the integration of emerging AI/ML technologies to strengthen compliance detection, reduce false positive rates, and accelerate case resolution. - Build and maintain relationships with regulatory and compliance stakeholders, translating evolving regulatory requirements into actionable product capabilities. Required Skills and Experience: - 10+ years of product management experience, with significant experience in AI/ML-powered automation, compliance technology, or operational automation at scale. - Experience leading large, complex cross-functional programs with multiple workstreams, including managing managers or leading PM teams. - Demonstrated ability to partner with ML engineers on agentic AI architectures and translate technical capabilities into compliance product strategy. - Proven track record with regulatory compliance frameworks (sanctions, transaction monitoring, AML/BSA) and navigating compliance approval processes. - Experience driving executive-level alignment and communicating investment tradeoffs to senior leadership (VP+, ET) with clarity and precision.
Group Product Manager, Compliance Agent Experience
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 Group Product Manager to lead the Compliance Agent Experience product team within our EAA organization. This team builds the internal tooling and AI-powered investigation experiences used by Compliance Operations to execute Coinbase's financial crime programs, including AML Transaction Monitoring, KYC, Enhanced Due Diligence, and Sanctions/Screening. You'll own the automation-first roadmap that enables investigators to triage alerts, assess risk, and document decisions faster and more accurately, so humans focus on high-judgment work while the platform handles repeatable tasks at scale. What you'll do: - Own the Compliance Agent Experience product area end-to-end, from vision and strategy through execution, covering AML/TMS, KYC, EDD, and Sanctions/Screening investigation surfaces. - Drive a multi-year roadmap for AI-assisted, human-in-the-loop investigation workflows that measurably reduce cycle time, improve decision quality, and increase automation adoption. - Lead build-vs-buy and vendor strategy for investigation enablement (OSINT, case enrichment, LLM tooling), including evaluations and RFPs in partnership with Compliance, Legal, Security, and Procurement. - Partner with Engineering, Data Science/ML, Compliance Program owners, and CX Operations to deliver integrated tooling that reduces context-switching and improves end-to-end investigation throughput. - Establish success metrics and instrumentation for Compliance tooling (investigation cycle time, AHT, escalation rates, QA outcomes, false positive reduction, automation adoption) and report progress to executive stakeholders through regular business reviews. - Shape security, privacy, and auditability requirements, including access controls, data retention, audit trails, and model governance, ensuring regulatory readiness without compromising investigator usability. Required Skills and Experience: - 10+ years of product management experience, including 5+ years leading and developing PM teams, with a track record of shipping internal tooling or operational platforms at global scale. - Demonstrated experience building AI/ML-powered automation or workflow products (e.g., LLM-based assistants, human-in-the-loop decisioning, intelligent case routing) in compliance, fintech, or similarly regulated domains. - Deep familiarity with AML, transaction monitoring, investigations, sanctions screening, or KYC/EDD operations, including auditability and regulator-facing requirements. - Proven ability to define measurable outcomes (throughput, quality, automation rates), instrument product surfaces, and use data to drive roadmap prioritization across a multi-team portfolio. - Track record of leading cross
Senior Product Manager, Recommendations
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Every match on Hinge starts with a decision from our recommender: Who should we show you today? Done right, the app feels like it gets you; done wrong, it feels random. This role owns that decision for millions of daters. As Senior Product Manager on Recommendations, you'll take on challenges like how we welcome new users, how we ensure our recommendations are equitable for all, or how we help people explore as they are figuring things out, and turn them into improvements daters can actually feel. It's hands-on work at the intersection of machine learning and human connection, built shoulder-to-shoulder with data science, ML, engineering, design, and research. Responsibilities Own core recs improvements, end to end. Take defined areas from problem to shipped result, and move core user and business metrics. Make the algorithm feel personal. Partner with data science and ML to improve how we rank and personalize, making the calls on inputs, ranking logic, and experience. Turn ambiguity into a roadmap. Decide what matters most, sequence the work, make the tradeoffs, and keep partners aligned as things change. Decide with evidence. Use experiments, behavioral data, and research to guide your calls when the signals are imperfect. Bring people along. Communicate your plan and results clearly — whether to an engineer in standup or a leader in a review. Protect trust . Recommendations shape who gets seen. Keep the system fair, safe, and true to Hinge's values. What We're Looking For 4+ years of product management experience, ideally on personalization, recommendations, ranking, or other ML-powered consumer products. A track record of owning a product area end to end and driving measurable improvements to core user outcomes at scale. Comfort partnering closely with data science, ML, and engineering — technically fluent enough to shape direction on model inputs, ranking, and tradeoffs without needing to be deeply technical. Strong communication skills, especially translating complex ideas for non-technical audiences. Comfort with ambiguity and making principled calls in high-impact spaces. Experience with products that match people or content (e.g., dating, marketplaces, social feeds, or hiring). Curiosity about dating and the human side of product development, and an interest in the fairness, ethics, and inclusivity of algorithmic systems. A point of view on how AI tools can raise the quality and speed of product work.
Senior Customer Engineer, Named - Cincinnati, OH
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Cincinatti, OH About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms). - Customer Adoption & Value Realization: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to t
Engineering Manager - MLOps & Analytics
The role of an Engineering Manager at Canonical As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution. You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals. We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team. Location: This is a Globally remote role. What your day will look like - Manage a distributed team of engineers and its MLOps/Analytics portfolio - Organize and lead the team’s processes in order to help it achieve its objectives - Conduct one-on-one meetings with team members - Identify and measure team health indicators - Interact with a vibrant community - Review code produced by other engineers - Attend conferences to represent Canonical and its MLOps solutions - Mentor and grow your direct reports, helping them achieve their professional goals - Work from home with global travel for 2 to 4 weeks per year for internal and external events What we are looking for in you - A proven track record of professional experience of software delivery - Professional python development experience, preferably with a track record in open source - A proven understanding of the machine learning space, its challenges and opportunities to improve - Experience designing and implementing MLOps solutions - An exceptional academic track record from both high school and preferably university - Willingness to travel up to 4 times a year for internal events Additional skills that you might also bring The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. - Hands-on experience with machine learning libraries, or tools. - Proven track record of building highly automated machine learning solutions for the cloud. - Experience with building machine learning models - Experience with container technologies (Docker, LXD, Kubernetes, etc.) - Experience with public clouds (AWS, Azure, Google Cloud) - Experience in the Linux and open-source software world - Working knowledg
Engineering Manager I, Threat Detection
As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. - Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and signal quality. - Build, mentor, and grow a high-performing team of engineers tackling the hardest problems in threat detection at scale. - Partner with sister teams across Threat Detection and the broader Security organization so your team's deliverables integrate reliably with the rest of the program. - Define and track program metrics: detection coverage, signal quality, model and agent fidelity, evaluation pass rates, incident response readiness, and your team's measurable contribution to security operations outcomes. - Evangelize the team's mission inside and outside the Threat Detection organization, communicating progress, tradeoffs, and bets clearly to security leadership and partner teams. - Collaborate with the AI Engineering teams and other internal AI initiatives to build on shared infrastructure where it makes sense and invest in security-specific tooling where it does not. Who You Are: - You have worked in a security operations, detection engineering, or incident response role, building tooling and performing investigations and responding to incidents. - Strong understanding of modern threat actor techniques and the detection engineering lifecycle. - Technically credible, with the ability to review detection logic, code (e.g., Python), and the architecture of security systems (AI-driven or otherwise). - You have built automation systems for security operations workflows: detection platforms, AI-driven detection capabilities, case triage, investigation, response automation, or analyst tooling. - You have prior experience at a SaaS or cloud infrastructu
VP of Product Management, Trust & Safety, Match Gr...
Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. About the Role As the VP of Product for Trust & Safety at Match Group, you will bring portfolio-level product leadership to our safety efforts across Match Group. You will own the long-term Trust & Safety product strategy and roadmap across our brands and the shared infrastructure supporting them — spanning the systems that detect harm, the tooling our moderation and care teams use, the capabilities that keep us compliant with a fast-moving global regulatory landscape, and the user-facing features that make safety something people can feel. You will build and lead a central team of product managers, and set product direction that engineering and operations build against. You'll sit within Match Group's central Trust & Safety leadership team and operate across each of our brands — building a deep understanding of each brand’s unique needs and focus areas, and defining a strategy that promotes safe and respectful interactions across our portfolio. Our north-star, and yours, is ecosystem health: whether people are, and feel, safe across every brand we operate. How You'll Make an Impact Portfolio Product Strategy & Vision Define and maintain the long-term T&S product strategy for Tinder and multiple other Match Group brands, as well as our portfolio-wide central safety infrastructure, in collaboration with brand teams and stakeholders. Deploy user research and a strong focus on our customers to decide what gets built, in what order, and why — prioritizing across the portfolio to build scalable, reusable solutions. Set a clear point of view on proactive and felt safety: intervening before harm occurs, and making protection legible to the people we serve. Serve as an external representative of Match Group and our safety efforts, helping to translate the work we do into a clear and convincing public narrative. People & Organizational Leadership Build, grow, and lead a high-performing central team of product managers across core safety workstreams. Lead through a matrix. You and your team will partner closely with — and often depend on — brand product, design, and engineering teams. Create the working agreements, clarity, and influence that make that model deliver. Build a culture of high standards, end-to-end ownership, and candor. Build-Once Economics & Shared Infrastructure Make portfolio-level build-vs-buy and vendor decisions: where to invest once in shared infrastructure, and where brand-specific solutions are genuinely warranted. Identify capabilities being solved repeatedly across brands and consolidate them into shared services every brand can adopt. Concentrate investment behind the highest-leverage bets, and raise development velocity on what you choose to fund. Responsible AI Champion the thoughtful application of AI across the safety surface — machine learning, LLMs, and emerging tooling — to improve detection and moderation quality, reduce reviewer load, and lower user friction. Drive a culture of AI-enabled development across functions, including building tools and systems yourself and empowering others in Trust & Safety to effectively deploy agentic coding tools and other emerging technologies to accelerate our work. Help deliver on our commitment to AI-augmented moderation and care at scale, without growing cost linearly with volume. Hold the line on the guardrails: accuracy, fairness, privacy, and explainability. Regulatory & Safety by Design T
Senior/Staff Software Engineer, Database Team
About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: Join a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in. Who we are: - We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care. - We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency. - We believe learning is ongoing and that even the most complex problems can have simple solutions. What You’ll Do: - Collaborate with teammates to design and build database features that power AI applications. - Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you). - Help Pinecone run smoothly on popular cloud providers. - Take ownership of your work and grow your skills every day. - Have fun. Who You Are: - 5+ years of work experience - programming in Rust, Go, C++, or a comparable language. - You’re genuinely curious about distributed systems and eager to dive deep into technical challenges. - You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback. - You’re excited to learn, value constructive feedback, and appreciate mentorship. Bonus Points: - You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick up new tools quickly. - You’re comfortable thinking in async or multi-threaded environments, or can show you’re ready to learn. - You’ve explored performance tools or have a track record of optimizing code for speed, reliability, or efficiency. Perks & Benefits: - Comprehensive health coverage (medical, dental, vision, and mental health resources) - 401(k) plan - Equity award - Flexible time off - Paid parental leave - Annual company retreat - WFH equipment stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Software Engineer, Compute - Storage
About the Team The Storage Infrastructure team builds and operates the storage foundation behind OpenAI’s most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time. Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution. About the Role You will help build the storage platform that powers OpenAI’s research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production. You’ll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust. In this role, you will: - Build and operate storage services that underpin OpenAI’s research infrastructure - Develop object storage systems across cloud and in-house environments - Build systems for cross-region data movement, replication, and recovery - Design lifecycle management capabilities that keep data durable, available, and cost-effective - Evolve the federation layer that unifies multiple backend systems behind a simple interface - Improve performance, reliability, and operational excellence across the platform - Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads You might thrive in this role if you: - Have experience building or operating distributed systems in production - Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems - Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements - Write strong production code, ideally in Rust or another systems-oriented language - Are comfortable working with Kubernetes-based systems - Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Infrastructure Engineer, Sandbox Platform
As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. You will: - Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments - Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads - Optimise for cold-start latency, memory footprint, and resource utilisation at scale - Drive down error rates through systematic debugging, monitoring, and proactive fixes - Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases - Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes - Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment - Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: - 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs - Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. - Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) - Proficiency in a systems programming language such as Go, Rust, or C/C++ - A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted - Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes) - Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems - Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: - Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end - Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) - Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) - Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlays) - Open-source contributions to systems or developer-tools projects - History of on-call/incident response for production systems PLEA
Senior Customer Engineer, Majors - NYC
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: New York, US About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, le
Forward Deployed Engineer, Legal [Office of the CT...
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 . Coinbase's Legal organization manages corporate governance across 60+ global subsidiaries, public company reporting, institutional client agreements, and product counsel for every product group. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Legal. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the Legal org. You'll be the connective tissue between Legal stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one. What you'll do: - Embed with Legal leadership to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like contract review, regulatory filing drafts, and subsidiary governance. - Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds. - Own the Legal automation roadmap in partnership with the VP of Legal and CCO, translating complex legal workflows — entity management, litigation tracking, product counsel reviews, compliance reporting — into engineering requirements and engineering constraints back to stakeholders clearly. - Define the build-vs-buy strategy for Legal tooling, evaluating what Coinbase should build internally, adopt from partner teams, procure from vendors, or retire. - Ensure every automated legal output is traceable, reviewable, and defensible — with privilege boundaries, auditability, and human-in-the-loop controls as first-class design concerns. - Drive adoption through brown-bags, prototype walkthroughs, and feedback loops that bring Legal teams along on the journey and ensure tools actually get used. Required Skills and Experience: - 5+ years of software engineering experience with a demonstrated ability to ship production systems in ambiguous, stakeholder-heavy environments, with greenfield experience a strong plus. - Hands-on experience deploying LLM-based applications, including prompt engineering, evaluation frameworks, hallucination guardrails, and human-in-the-loop design for high-stakes legal outputs. - Proven ability to embed with non-technical domain experts, rapidly internalize complex workflows, and translate them into engineering requirements. - Familiarity with legal and compliance systems concepts: contract lifecycle management, regulatory filing workflows, entity governance, and privilege-sensitive data handling - Does not need to be an attorney, but should be open to learning. - Familiarity with multi-agent orchestration
Senior Customer Engineer, Majors, Raleigh, NC
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Raleigh, NC About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, lev
Senior Customer Engineer, Majors, San Francisco
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - San Francisco, US About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms). - Customer Adoption & Value Realization: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities
Member of Technical Staff (Search Engine Developer...
Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure
Senior Customer Engineer, Majors - Detroit, MI
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Detroit, MI About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will
Senior Data Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Austin (Hybrid) About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare have all web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was recognized by the World Economic Forum as a Technology Pioneer and named to Entrepreneur Magazine’s Top Company Cultures list. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack, build specialized data solutions for predictive modeling and machine learning applications, and construct systems that truly run the business. About the role We are looking for an experienced Data Engineer to join our Austin te
Staff+ Software Engineer, Kubernetes Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities - Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption - Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us - Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on - Build and maintain custom controllers, operators, and CRDs - Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities - Collaborate with cloud providers on required features and escalations - Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications - Significant software engineering experience building and operating production distributed systems - Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) - Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters - Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes - A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on - Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications - Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar - Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) - Background scaling control planes or coordina
Research Engineer, Interpretability
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: - Our research blog - covering advances including Monosemantic Features and Circuits - An Introduction to Interpretability from our research lead, Chris Olah - The Urgency of Interpretability from CEO Dario Amodei - Engineering Challenges Scaling Interpretability - directly relevant to this role - 60 Minutes segment - Around 8:07, see a demo of tooling our team built - New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: - Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips - Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" - Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: - Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector a
Senior Backend Engineering Manager, Recommendation...
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role At Hinge, the recommendation engine is a central part of our product. Every interaction users have with each other on our app begins with the systems your team builds and owns. As the engineering manager of this team, you will help drive the strategy and execution behind the infrastructure and features that power our recommendations. You’ll work closely with machine learning engineers, product managers, data scientists, and data engineers to build systems that balance personalization, fairness, and user experience at scale, from low-latency match-serving pipelines to the candidate retrieval and ranking systems that determine who users see and when. Our ability to provide good recommendations is central to achieving trust, engagement, and, most importantly, whether people can find who they’re looking for on Hinge. Responsibilities Lead, mentor, and grow a team of 6-8 engineers building recommendation services Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure Own the technical roadmap for the recommender platform, balancing new capabilities with reliability and performance improvements Drive architecture decisions for recommendation and search infrastructure Establish and maintain engineering standards for code quality, testing, observability, and incident response Collaborate with Product, Design, and cross-functional engineering teams to define and deliver product-facing recommendation features Manage hiring, performance reviews, career development, and team culture What We're Looking For 8+ years of software engineering experience, with 4+ years in an engineering management role Strong backend systems expertise – you've built or operated large-scale distributed systems in production Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure Proficiency in one or more backend languages (ideally Go) Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc) Track record of hiring, developing, and retaining high-performing engineering teams Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders Nice to Have Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow) Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) Background in A/B testing and experimentation platforms Prior work at scale (millions of daily active users or equivalent throughput)
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