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Senior Staff Machine Learning Engineer, (Machine L...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing advanced machine learning techniques ensuring responsible and accessible financial products. In this role, you will help shape the future of machine learning at Affirm. You’ll partner with ML Platform, engineering, product, and risk leaders to design, implement, and scale advanced modeling approaches that drive critical decisions across the company. You will elevate our modeling capabilities, influence architectural direction, and ensure our systems can support increasingly sophisticated workloads. You will mentor senior engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. If you are passionate about modern machine learning and excited to drive high-impact innovation across a growing organization, Affirm is the place for you. What you’ll do - You will define and drive multi-year, multi-team technical strategy for machine learning across Affirm, ensuring alignment with company-wide priorities and influencing the roadmaps of partner teams and platforms. - You will lead the design, implementation, and scaling of advanced ML systems, setting the architectural direction for complex, cross-functional initiatives and ensuring systems remain reliable, extensible, and prepared for increasingly sophisticated modeling workloads. - You will partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities, define new opportunities for ML impact, and guide infrastructure evolution required for next-generation ML methods. - You will provide broad technical leadership across the ML organization, mentoring senior engineers, elevating design and code quality, and spreading ML expertise through documentation, talks, and cross-org guidance. - You will drive clarity and alignment on ambiguous, high-stakes technical decisions, resolving cross-team tensions, balancing competing priorities, and exercising judgment optimized for the broader engineering organization. - You will champion operational and system excellence at the area level, owning the long-term health, availability, and evolution of critical ML systems, and ensuring robust testing, monitoring, and reliability practices across teams. What we look for - You have 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems, with a proven record of driving technical innovation and delivering measurable business impact. Relevant PhD can count for up to 2 YOE. - You have experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment. You use distributed frameworks such as Spark, Ray, or similar large-scale data processing systems. - You are proficient in Python and ML frameworks, including PyTorch and XGBoost. You are experienced with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent internal platforms. - You have a strong understanding of representation learning and embedding-ba
Member of Technical Staff (Product Data Scientist,...
Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in dashboards - Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications - 4+ years of experience working as a data analyst or in a related role - Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments - Strong Python skills (expected to write production-grade code) - Proficiency with SQL - Experience with Business Intelligence (BI) tools - Deep knowledge of statistics Preferred Qualifications - Proficiency with Apache Spark - Experience with Databricks - Experience with development of LLM-as-a-judge systems
Staff+ Software Engineer, Public Sector
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 is bringing Claude to the U.S. government and allied democracies, and we’re looking for startup-minded engineers to grow our public sector engineering team. This is a small team with large surface area. You’ll work across the stack to take products from 0 to 1 and beyond. We are looking for product- and civic-minded engineers with a track record of building and scaling great products. The opportunities outpace our ability to build them all, so the right candidate thrives on sharp judgment, prioritization, and focus. You’ll own work like: - Building Claude products that can be used by customers in highly regulated environments - Deploying Claude into government networks - Understanding and improving Claude’s usefulness in common government workflows – for example, policy research, benefits administration, intelligence analysis - Scaling and innovating Claude for Government, our existing product serving U.S. government customers today Our team is filling a number of roles and is open to candidates with either full-stack or backend experience. Key responsibilities - Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks - Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate - Partner with research and safeguards teams to evaluate and improve Claude for government use cases - Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps - Design scalable systems for deployment, user management, and administrative controls across constrained environments - Create clarity and technical direction in a fast-moving environment with unique constraints Minimum qualifications - Experience building AI products and a working intuition for their capabilities and limitations - A strong technical track record building and shipping enterprise- or government-grade products - Excellent cross-functional collaboration skills — you’ll partner with sales, legal, research, and policy teams alike Preferred qualifications - Have 8+ years of experience as a full stack or backend software engineer - Startup experience, particularly in scaling products from zero to one - Experience partnering with sales, customer success, and professional services teams to drive product adoption - Experience deploying software on government networks - Active federal security clearance (Secret or above) This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizens
Communications Manager
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Comms is a small, newly formed function, and we’re looking for someone to help define how the world perceives ElevenLabs as we expand beyond our roots in voice AI. You’ll work closely with our growth, engineering, policy, and leadership teams to increase awareness of what we’re building and the future we’re working towards. You’ll be responsible for a combination of: - Shaping perceptions of ElevenLabs, with strategies, stories and updates that advance how the world thinks about us. - Creating compelling content that earns organic interest, from blogs and event talk tracks, to demos and social posts. - Running ElevenLabs' social presence on X and LinkedIn, managing the calendar and finding creative ways to bring our work to life. - Building and maintaining relationships with journalists, writers, and other important players across the business, tech, and creator ecosystem. - Working closely with domain experts across the company to translate their work into compelling narratives that land with specific audiences (for example, building awareness of ElevenAgents with enterprise leaders). - Establishing the infrastructure that keeps communications running at global scale, including introducing new systems, managing agencies, and coordinating with internal teams. REQUIREMENTS The ideal candidate will be genuinely fascinated by what AI is making possi
Partner Manager, Global Health
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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role We're looking for a Partnerships Manager to drive forward the clinical AI research agenda for Anthropic's global health work — informing the tools that bring Claude safely into care and generating the evidence that proves they work. You'll help define how clinical AI tools should be validated for use in low- and middle-income countries (LMICs), and you'll help shape the tools and safeguards that make Claude safe and usable in clinical settings. This is a hands-on role as much as a research one: you'll work side by side with Anthropic's research, evals, and product teams, translating what you know from how care actually gets delivered in low-resource settings into evaluations, safeguards, and product improvements. You'll join a small, tight-knit global health team within Beneficial Deployments. While you'll lead on this domain, you should expect to roll up your sleeves on adjacent workstreams, help shape overall team strategy, and be a thought partner to colleagues working on other parts of the health system. Everyone on the team owns the whole mission, not just their lane. Key responsibilities - Own the clinical research and evaluation agenda for our global health work — define what we need to prove, to what standard, and with whom, and drive it. - Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, in close partnership with Anthropic's research, evals, and product teams. - Develop theories of change and outcome metrics connecting model capability to care quality, health-worker performance, and patient outcomes. - Build and manage our global research partnerships, and engage with relevant regulatory and normative bodies (WHO, national authorities, research-ethics bodies). - Partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings. Stay grounded in how care is actually delivered in LMICs so our tools and evaluations reflect those realities. - Contribute across the broader global health portfolio — lean in on adjacent workstreams, help set strategy, and be a thought partner to the team. Minimum qualifications - Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent), with direct experience delivering care in low-resource settings — you reason fluidly from how diagnosis, triage, treatment, and referral actually happen at the point of care in low and middle income countries. - A concrete, on-the-ground understanding of clinical and care-delivery workflows in LMIC
Finance Systems Integration 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 We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges. In this role you will: Core Focus: Integration Development & ERP Support - Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions - Support integration development and testing during the ERP implementation projects - Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication - Implement real-time and batch integration patterns supporting high-volume financial transactions - Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity - Document integration architectures, data flows, API specifications, and troubleshooting procedures - Collaborate with implementation consulting partners and vendors on technical integration requirements Additional Scope: AI Automation & Data Infrastructure As you master our integration landscape, you'll have opportunities to expand into: AI Agent Development - Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting - Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes - Create automated validation and quality assurance processes for AI-generated outputs - Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions Data Pipeline Support - Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation - Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting - Implement data quality checks a
Strategic Finance Lead - Infrastructure
ABOUT THE ROLE Perplexity is seeking a Strategic Finance - Infrastructure Lead to provide financial leadership over our cloud service provider (CSP) spend, compute and model capacity planning, and broader infrastructure economics. This person will be a core partner to our engineering, infrastructure, and product teams, bringing financial rigor and judgment to the most consequential cost decisions the company makes. You’ll build the models that underpin our capacity investments, own the day-to-day CSP and model provider relationships, and help shape how we plan for infrastructure as the business scales. The role partners closely with Accounting and Engineering leadership to keep our compute and CSP strategy tightly aligned with the company’s financial trajectory. RESPONSIBILITIES: Capacity Planning & Infrastructure FP&A - Build and maintain multi-year capacity forecasts and scenario models across CPU, GPU, and accelerator footprints - Partner with Strategic Finance leadership on long-horizon capacity decisions, including reserved/committed structures and build-out sequencing - Lead ROI and trade-off analysis for new platforms, hardware generations, and efficiency initiatives - Translate engineering and product roadmaps into capacity requirements and the cost envelope to support them Cloud Service Provider (CSP) Financial Management - Own day-to-day management for all core infrastructure spend, including the monthly bill, variance analysis, and forecasting - Drive efficiency and optimization initiatives with engineering and infrastructure teams - Build cost-driver models that explain spend movements and surface the levers behind them - Support CSP rate and commit negotiations with rate analysis, benchmarking, and contract modeling - Maintain deep working knowledge of CSP contract terms, pricing structures, discount programs, and optimization opportunities - Partner with Accounting on contract operationalization, accrual accuracy, and compliance Inference Cost Allocation & Unit Economics Support - Own management and forecasting of inference costs end-to-end, including product unit economics - Partner with Strategic Finance and executive leadership on scenario analysis to understand core unit economics and product-mix view and it’s impact on strategy and financial statements - Support training-run budgeting, tracking, and ROI analysis YOU MAY BE A GOOD FIT IF YOU HAVE: - 4+ years of experience in strategic finance or FP&A at a high-growth technology company, plus 2+ years in investment banking at a top-tier firm - Strong financial modeling skills and the ability to translate complex operating data into clear, decision-ready analysis - A track record of partnering effectively with engineering or technical teams to drive financial outcomes - Comfort communicating complex financial concepts to non-finance audiences across the company - Bias for action, first-principles thinking, and an ability to make progress in ambiguous environments - Excitement about working in a fast-paced, hyper-growth setting and adapting quickly as priorities shift - Strong process discipline, business judgment, and cross-functional communication skills - Genuine interest in AI infrastructure and the cost dynamics of large-scale model serving and training STRONG CANDIDATES MAY ALSO HAVE: - Direct experience managing or modeling cloud infrastructure spend (AWS, GCP, Azure) - Background in AI, ML, or high-performance computing infrastructure economics - Familiarity with GPU pricing, reserved/committed structures, and CSP discount mechanics - Experience supporting capital-intensive capacity decisions or multi-year vendor commitments - Advanced Excel and financial modeling skills
Member of Creative Studio (Motion Designer)
ABOUT THE ROLE We're looking for a Senior Motion Designer to own motion graphics and GTM video output across Perplexity's social channels. Video is one of our most important channels for telling the Perplexity story, and we want someone whose primary focus is producing a steady stream of high-quality, on-brand motion work that performs. This is a video-production-first role. You'll spend most of your time concepting, animating, and shipping GTM materials for social — fast, polished, and distinctly Perplexity. In a secondary capacity, you'll help define our motion principles and contribute to broader creative technologist work as our motion practice matures. You'll report into the Brand/Creative Studio team and work closely with Brand, Growth, Comms, and the Producer to keep the pipeline moving. WHAT YOU'LL DO - Own the creation of motion graphics and video content for our social channels — concepting, storyboarding, animating, and delivering GTM materials end-to-end - Make video production your primary focus: a consistent, high-volume output of polished, on-brand motion work - Bring ideas to life across 2D and (where relevant) 3D, from styleframes and animatics to final delivery - Partner with Brand and Growth to turn launches and campaigns into motion that lands on social - Contribute to Perplexity's motion principles, systems, and templates so motion scales consistently across the team (secondary focus) - Contribute to broader creative technologist explorations — new tools, techniques, and AI-assisted workflows (secondary focus) - Collaborate with the Producer on scoping, scheduling, and delivering work on time WHAT WE'RE LOOKING FOR - Senior-level experience in motion graphics and animation, with video production as your core craft - A strong portfolio of expressive motion work — especially social, campaign, and GTM content that demonstrates range and polish - Deep command of animation fundamentals: timing, spacing, composition, visual rhythm, and design sensibility - Expert proficiency in After Effects and the broader Adobe Creative Suite; comfort in Figma - Ability to work fast, manage multiple deliverables, and iterate quickly in a high-output environment - A strong sense of when motion adds clarity or emotion — and when a still is the better choice NICE TO HAVE - Experience developing motion principles, systems, or toolkits that scale across a team - Comfort across 2D and 3D, plus compositing, post-production, and optimization for different social platforms - Creative technologist instincts — building or experimenting with tools and AI-assisted motion workflows - Graphic design fluency (layout, hierarchy, type) sufficient to build and adapt assets directly
Platform Security Engineer, OpenBMC
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 is standing up a founding team to own the OpenBMC-based management firmware running across its server fleet. You would be one of the first engineers on it. That means production firmware and manageability features (board bring-up through production) on one side, and hardening that firmware against sophisticated adversaries on the other. Security is a first-class constraint in everything you ship: you'll write firmware to a high security bar and partner closely with our firmware security and hardware engineers on secure boot, signing, and attestation. Key responsibilities Production and manageability: - Design, build, and ship OpenBMC firmware and manageability features for x86 and Arm (including GPU) platforms, from bring-up through production, using Yocto/OpenEmbedded - Build the management stack on DMTF/OCP standards (MCTP, PLDM, SPDM, Redfish, RDE) and IPMI/KCS: sensors, telemetry, inventory, logging, RAS - Implement BMC-to-BIOS/host communications, eSPI/LPC, thermal/fan/power management (PMBus) - Work the hardware/firmware boundary: I2C/I3C, SPI, PCIe, SMBus, device trees, U-Boot, Linux Security and hardening: - Own the BMC security posture: secure and measured boot, root of trust, attestation (SPDM), authenticated update (PLDM FW Update), rollback protection, attack-surface reduction - Lead threat modeling and secure design reviews; run coordinated vulnerability disclosure with vendors and the upstream community - Build verification tooling: static analysis, fuzzing, firmware extraction, CI gating Minimum qualifications - Strong technical cross-functional leadership skills, direction setting - Hands-on OpenBMC/BMC firmware experience on x86 and/or Arm, from bring-up through production with hands-on D-Bus/sdbusplus - Strong C/C++ and Python, deep Linux user-space/kernel fundamentals, and Yocto/OpenEmbedded proficiency - A security mindset applied to firmware, not bolted on afterward - Upstream contributions to OpenBMC, U-Boot, DMTF, or OCP - Working knowledge of out-of-band and in-band management, the relevant DMTF specs, and the device interfaces they run over - Strong debugging and a track record of shipping reliable, well-tested code. - Clear communication across internal teams and external vendors - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks, specifically SP 800-193 and 800-147/155 Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Hardware roots of trust and attestation: Caliptra, OCP S.A.F.E., TPM/HRoT, SPDM - Memory-safe systems code in Rust or Zig - Firmware vulnerability resea
Platform Product Partnerships Lead
About the Role As a member of the Platform Partnerships team, you will lead some of the most important integrations connecting the world into OpenAI’s flagship products, including Codex and ChatGPT. This role has enormous impact, as OpenAI users and their agents increasingly interact with third-party services. You will set partnership strategy, craft mutually beneficial commercial and technical agreements, and work closely with product and engineering teams to bring new platform capabilities to market. You will help decide what gets built, which partners to prioritize and how a new generation of AI-native services come to life. This role sits at the intersection of product, engineering, partnerships, and ecosystem strategy. The right person is someone who can run deals end-to-end, navigate ambiguity, push product thinking when needed, and move fast with partners and internal teams. In this role, you will - Lead full lifecycle partnerships, from identifying and prioritizing partners to negotiating terms, closing complex agreements, and driving partner success. - Work directly with Product and Engineering to shape how connectors, agents, and third-party workflows function inside ChatGPT and Codex. - Develop ecosystem relationships to drive deeper engagement across distribution, co-marketing, and product innovation. - Translate partner commercial needs, technical constraints, and market dynamics into program and product recommendations, prioritization calls, and go-to-market plans - Bring structure to ambiguous opportunities and help the team decide where to go deep, move fast, or say no. - Drive aggressive timelines by clearing blockers and aligning internal and external workstreams. You might thrive in this role if you - 10+ years of experience in product partnerships, product management, or developer relations. - Demonstrated success structuring and negotiating complex commercial and technical deals, with strong negotiation skills with a focus on creative solutions. - Excellent product and technical judgement, and experience building ecosystems or integrations for emerging products. - Self-driven, relationship-oriented, and adept at operating in a fast-changing environment. - Exceptional communication, structured thinking, and program management skills. - Ability to thrive in fast-paced ambiguous environments. - Creativity, adaptability, and a willingness to challenge assumptions. - Strong ability to collaborate with product and engineering leaders and build trust with external partners. 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.
Product Support Specialist (Singapore - Weekend Co...
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 hiring our first Singapore-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in this role will work Wednesday to Sunday Responsibilities: - Become an expert in all Anthropic products - Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: - Have experience in providing technical product support within a second tier, escalated, or priority support team. - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC
Beneficial Deployments Customer Success Manager, S...
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 As Anthropic’s Beneficial Deployments team scales its customer base across Claude Enterprise, Claude Code, and our API, we need to extend world-class customer success to a broader segment of customers through innovative, scalable approaches. The Scaled CSM will pioneer digital-first and one-to-many customer engagements that drive adoption and further mission driven organizations impact, at scale. As a Scaled Customer Success Manager at Anthropic, you’ll own the success of a broad portfolio of organizations who are committed to integrating AI to accelerate their impact. You’ll walk alongside them through onboarding, early wins, and scaled adoption — helping them stand up durable enablement, upskilling, and change-management practices so that Claude becomes part of how their teams actually work. Your work will directly shape how we engage with our nonprofit organizations at scale while maintaining the personalized, high-value experience that defines Anthropic. You’ll collaborate closely with our Beneficial Deployments Customer Success team to develop compelling content, with program leadership to co-develop engagement plans and surface learnings, with Product to channel customer insights, and with Customer Success leadership to continuously optimize our model. Importantly, this role centers on a carefully selected cohort of nonprofit partner organizations who have committed to working closely with us over the next year. You’ll partner with each of these organizations in depth — tailoring our programming, enablement, and support so it meets the distinct needs of their teams, and co-creating practices that build lasting internal capacity rather than vendor dependency. The learning generated through these will directly shape how we support the broader nonprofit ecosystem. Key responsibilities: - Own scaled customer engagement for a broad portfolio of organizations, deepening relationships through structured touchpoints that drive activation, meaningful adoption, and sustained impact aligned to each organizations mission - Design and execute one-to-many programs including workshops, office hours, cohort-based learning, peer learning webinars, partner-led thought leadership opportunities, and shared resources that educate organizations, accelerate adoption, and cultivate a vibrant cross-organizational community of practice. - Provide technical guidance. Help organizations shape AI roadmaps that are true to their mission and desired impact. Develop deep product expertise to guide implementation decisions, advise on safe and responsible adoption, and translate AI capabilities into mission-aligned outcomes for audiences from practitioners to executives - Create focus for peer exchange . Elevate customer voices and enterprise, and surface shared lessons that strengthen the broader nonprofit ecosystem. - Channel customer voice back to economic mobility team and product team by learning alongside customers — synthesizing feedback from
Intern - Gen. AI Art
Scopely is looking for a creative and enthusiastic AI Art (2D) - Intern to join our Casino team in Bangalore on a hybrid basis . At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The GSN Casino team is home to slots, bingo, cards, and more! Work on incredible games, including a top-10 grossing app, alongside the best in the business. What You'll Be Doing: This internship offers a unique opportunity for aspiring artists to explore the exciting intersection of traditional artistic principles and cutting-edge AI technologies. - Contribute to the creation of high-quality 2D visual assets using an AI-assisted pipeline. - Utilize generative AI software such as Stable Diffusion, Chat GPT and Scenario to generate and enhance visual content. - Work closely with experienced artists to ensure AI-generated artwork aligns with project objectives. - Assist in documenting processes and effectively communicate progress and insights to the team. - Stay informed about the latest developments and trends in AI art technology. - Refining and editing AI-generated outputs in Photoshop based on feedback, while ensuring adherence to artistic standards. - When required, the artist should be capable of creating concept sketches or mashups, which can then be further developed using AI tools. What We're Looking For: - Fundamental knowledge of art principles, including composition, lighting, color theory, and anatomy. - Familiarity with digital art software like Photoshop. - A strong interest/passion in or basic understanding of AI art tools (e.g., Stable Diffusion, Midjourney). - A proactive attitude and ability to learn and collaborate effectively within a diverse team. Bonus Points For: - Basic familiarity with Unity for integrating assets. - Exposure to 3D modeling tools (Blender, ZBrush). - Interest in mobile game development and Agile methodologies. Join us to be part of the innovative world of AI-driven creativity and make contributions to popular games enjoyed by a global audience! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and liv
Member of Technical Staff (Secure Intelligence Ins...
Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
Data Scientist
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: - Apply causal inference methods where experimentation isn't feasible - Develop models and analyses that inform pricing, segmentation, and revenue optimization - Design, run, and analyze A/B experiments - Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks - Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making You Have: - 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field - Proficiency in SQL - Proficiency with Python or R - Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods - Strong communication skills across technical and non-technical stakeholders - Comfort building dashboards and recurring reporting
Technical Program Manager, Databases
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 databases underpin every service the company runs: Claude, our APIs, and the internal systems behind them. We're hiring a Technical Program Manager to drive the strategy and execution that takes this infrastructure to the next level of availability and scale. The mandate centers on three interlocking strategies: - Cross-region: how our databases achieve resilience and locality across geographic regions - Multi-cloud: how we run and operate databases across multiple hyperscalers - Private, public, and hybrid cloud: how our database footprint spans owned, cloud, and mixed environments Success in this role is a highly available, 24x7x365 database infrastructure that every Anthropic service can depend on, across regions, clouds, and deployment models. Responsibilities - Own the roadmap and execution across all three strategy pillars, turning architectural direction into sequenced, deliverable programs - Coordinate across an unusually broad set of partners: database vendors, hyperscalers, internal platform teams, and infrastructure teams - Manage external vendor and hyperscaler relationships at the working level: commitments, escalations, and joint roadmaps - Drive the dependencies, risks, and tradeoffs that come with operating databases as critical infrastructure for every service at Anthropic - Create program documentation including roadmaps, status reports, risk assessments, and communication plans - Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have experience with database, storage, or core infrastructure programs and can engage meaningfully with the engineers who design and operate them - Have managed external vendor or cloud provider relationships at the working level, including commitments, escalations, and joint roadmaps - Have experience with cross-region, multi-cloud, or hybrid cloud infrastructure (preferred but not required) - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earning
Internship - Search Backend Infra Engineer
Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment
Integrated Campaigns Manager, Startups and AI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The global demand campaigns team at Stripe delivers marketing campaigns that drive awareness and engagement for our audiences, solutions, and products worldwide. Working closely with sales and marketing teams, our campaigns support Stripe business objectives and deliver impact. We build, deliver, monitor, and evolve campaign delivery across a broad suite of content, tactics, and channels. Using a broad suite of metrics, we continuously measure our work and refine our strategies to improve outreach, enhance the customer journey, and support revenue growth for the organization. What you'll do In this role, you'll quarterback the integrated campaign strategies, plans, and playbooks focused on startups and AI companies. You'll champion the needs of these audiences, holding deep market and audience insight and direct business accountability. You'll lead a large, global, cross-functional workstream to build campaign strategies and content, then work with regional teams to craft local strategies and to deliver activations through integrated channels. You'll capture performance against all of your efforts, analyze results, and share learnings to drive continuous improvement and impact. Ultimately, you'll be accountable for acquisition, engagement, and pipeline growth. The ideal candidate - Holds expert-level knowledge of the startup and AI company landscape - Has proven expertise crafting and delivering global, audience-focused campaign strategies - Excels in leading and driving large, complex, global campaigns or programs - Has strong analytics skills, with the ability to interpret, analyze, and communicate campaign performance across marketing and sales metrics - Works with and influences across cross-functional stakeholder groups, including senior sales, marketing, and product leaders - "Sees around corners"—anticipates and unblocks challenges, stays ahead of market and audience trends, and anticipates regional and country needs and nuance - Understands modern storytelling and content trends, and can translate those into thoughtful, resonant campaign strategies - Is agile, iterative, AI-fluent, and comfortable with ambiguity and high-growth environments Responsibilities - Own the overall campaign strategy and plan for startups and AI companies, and drive the global, cross-functional workstream for activation and impact - Partner with comms, product marketing, channel teams, regional and field marketing, partner marketing, sales teams, and more to define and implement campaigns - Work with regional marketing to ensure local relevance and advise on campaign delivery - Use your multi-channel expertise to deliver campaigns via digital, web, email, online events, direct mail, social, events, sales plays, and more, all in partnership with functional and regional teams - Partner with product marketing and content and editorial teams to develop compelling, relevant campaign materials and content sets, including whitepapers, guides, blogs, checklists, interactive content, p
Staff AI Engineer - Notebooks
We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features. - Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products. - Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability. - Drive product direction with a strong user focus, always advocating for the best end-user experience. - Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows. - Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes. - Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices. Who You Are: - You have a BS/MS/PhD in a scientific field or equivalent experience - 10+ years of relevant engineering experience, as well as experience acting as a technical lead - Proven track record of leading large-scale AI/ML initiatives in a product-driven environment - You have significant experience in model deployment, development, training, fine-tuning, and evaluation - You are passionate about mentoring others and cultivating a high-performing engineering culture. - You’re excited about leveraging AI tools to enhance how you code, solve problems, and build 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 equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of yo
Staff+ Software Engineer, Experimentation
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 Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities - Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more - Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others - Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams - Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact - Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes - Have experience with container orchestration and infrastructure at scale - Have excellent communication skills and enjoy supporting internal partners to improve their development experience - Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: - Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)</li&g
Strategic Partner Development, Product Partnership...
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 a Product Partnerships specialist who has worked inside the security industry to support Anthropic's product partnership strategy across SIEM/SOAR, EDR, identity, cloud security, GRC, and the AI-native security startup ecosystem. You'll collaborate with category leaders, stand-up scaled partner programs, and cultivate a managed community of security startups. This is not a Sales role. You'll work with our product, research, engineering and GTM teams to build a platform strategy, source the partners, and shape what we build together. What you'll do - Research and build critical strategic partnerships. Research, source, structure, and close strategic collaborations across the security ecosystem — working closely with internal teams to shape what we pursue and why. - Be the domain expert. Serve as Anthropic's internal voice on security partnerships — helping research, product, and Anthropic leadership understand the landscape, evaluate opportunities, and make good calls. - Prioritize the ecosystem. Map the sector and sequence the highest-impact organizations to engage. Build a pipeline with a clear point of view on where to focus and where to say no. - Navigate complex organizations. Drive partnerships through R&D, IT, legal, compliance, and procurement — with a realistic view of how these deals actually get done. - Enable integrations where relevant. Where partnerships include product or platform integrations, work with partner engineering teams and hold the quality bar. - Coordinate cross-functionally. Work across research, product, engineering, policy, and legal to structure partnerships that are compliant, deliverable, and valuable. What we're looking for Non-negotiable: - Minimum 10 years of experience inside the security industry — partnerships, BD, alliances, product partnerships, or comparable. This is the single most important requirement. We need someone who can operate independently in the security ecosystem from day one, not learn it on the job. - Deep ecosystem familiarity across SIEM/SOAR, EDR/XDR, identity, cloud/workload security, GRC, or AI-native security startups. - Track record landing complex, multi-stakeholder partnerships — integration deals, ecosystem programs, or major vendor partnerships in security specifically. - Entrepreneurial operating style. - Technical fluency in security workflows and AI/ML — enough to engage credibly with CISOs, security architects, and product leaders. - Fluency in the regulatory and compliance environment that shapes enterprise security buying (SOC 2, FedRAMP, ISO 27001, sector
Manager I, Engineering - AI Platform - Evaluation...
The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . As an engineering manager for the Evaluation & Annotation team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Manage and grow the Evaluation & Annotation team, directly managing 4-6 engineers - <p data-local-id="a38e99fd796a" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-
Staff Data Scientist
📍 Hybrid, Palo Alto (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics About the Role We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework that defines our business health: Unit Economics. In this role, you won't just build standalone models; you will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures. Your work will serve as the financial and analytical source of truth, directly influencing how we allocate marketing spend, price our products, manage retention, and project long-term profitability. You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a critical strategic partner to executive leadership. What You’ll Do Unified LTV & Reimbursement Modeling - Bridge Estimated vs. Realized LTV: Develop sophisticated lifetime value models that account for the volatility of healthcare reimbursements and the time value of money. - Predictive Reimbursement Rates: Build models to predict actual reimbursement rates across a complex mix of insurance allowables and self-pay tracks, closing the gap between theoretical revenue and cash-in-hand. - Integrate Margin Constraints: Establish the foundational frameworks that incorporate operational realities—such as state-by-state clinician licensing costs and wage ranges—ensuring our LTV calculations reflect true contribution margins. Cross-Product Attribution & Portfolio Optimization - Blended Contribution Margin: Optimize "basket composition" and cross-sell dynamics between our physical supplement lines and clinical services to maximize total margin. - Multi-Touch & Cross-Product Attribution: Build advanced attribution models (Markov chain, ML-based) to quantify the interplay between product lines—specifically tracking how supplement purchases drive clinical visit adoption and vice versa. - Price Elasticity: Design and analyze pricing experiments for supplement products to identify optimal margin-maximizing price points without degrading long-term subscriber retention. Causal Inference & Growth Intelligence - Influence the CAC Decision Curve: Utilize your LTV and margin frameworks to influence the marginal LTV curves that marketing uses, helping them determine the exact point of diminishing returns on ad spend. - Causal Churn Intervention: Move beyond simple churn prediction. Build uplift models to identify which at-risk customers will respond positively to specific interventions (e.g., targeted offers, clinical outreach), preserving margin by avoiding unnecessary discounting on "sure things" or "lost causes." Strategic Macro-Simulation - Systemic Stress-Testing: Build stochastic (Monte Carlo) macro-simulations to help leadership and finance stress-test our business model. You will answer questions like: "If a major insurance payer shifts an allowable rate
Director, Infrastructure & Energy Accounting
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 is seeking a Director, Infrastructure & Energy Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases, power purchase agreements, and related structures underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), power purchase agreements and energy contracts (including those containing embedded derivatives under ASC 815), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities - Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure and energy arrangements, leading classification, measurement, and subsequent accounting judgments - Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts - Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities - Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives - Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Serve as a key point of contact with external auditors on technical accounting matters within your portfolio - Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work You may be a good fit if you - Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role - Hold a Bachelor's degree in Accounting or Finance; CPA required - Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied
Member of Technical Staff (Backend/Infrastructure...
Perplexity is looking for an Infrastructure Engineer to join our small team revolutionizing the way people search and interact with the internet. Your passion and diligence will be critical to ensure a high quality product. This role blends infrastructure expertise with software engineering -- you'll own core systems that power our products and development workflows. Responsibilities - Build and maintain robust, scalable infrastructure to support high-performance search systems - Develop internal tools and automation to streamline developer workflows and operational efficiency - Design, deploy, and operate cloud-native systems, primarily on AWS - Improve and support CI/CD pipelines, testing infrastructure, and release processes - Debug and optimize Linux systems, containers, and backend services - Contribute directly to product codebases, working across Python, Go, and other systems languages Requirements - Strong background in cloud infrastructure (AWS preferred), systems design, and automation - Deep understanding of Linux internals, performance tuning, and debugging - Experience building or maintaining CI/CD systems and tooling - Strong Python skills and fluency in at least one systems language (Go, Rust, C/C++, or Java) - Comfort working across both infrastructure and application-level code - A proactive learner who thrives in a fast-paced, innovative environment
Safeguards Enforcement Analyst, Fraud & Scams
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 As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be standing up fraud & scams enforcement as a program: today this work is handled reactively and in fragments — payment fraud, promotional abuse, and scam-pattern enforcement don't yet have a single owner. You'll be that owner: defining the policy area, building the detection-to-enforcement pipeline, and setting the operating model that a contractor bench can execute against. The surface area is broad: payment fraud (stolen cards, chargebacks, disputes), promotional and credits abuse, and the use of accounts to run scams against third parties. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities - Define the fraud & scams policy taxonomy and how cases are classified, prioritized, and escalated - Investigate and dismantle organized abuse rings, converting findings into durable controls - Stand up proactive fraud detection and customer-facing communication flows for fraudulent organization cases - Build the dispute and chargeback strategy in partnership with payments and card-network partners - Quantify fraud losses and control efficacy to drive investment decisions - Author the contractor playbook for fraud review and own QA of scaled output - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Minimum qualifications - Deep payment-fraud experience at a fintech, marketplace, or platform — chargebacks, disputes, card-testing, promotional abuse - Experience building or significantly scaling a fraud program from an early state, not just operating a mature one - A working command of payment-network and dispute mechanics, sufficient to make strategy calls on them - Comfort being the sole owner of an area: prioritizing ruthlessly, shipping iteratively, and asking for help precisely - Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy - Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders - Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications - Experience working directly with payment service providers and card networks on fraud strategy - Experience with scam typologies beyond payments — social engineering, impersonation, platform-mediated scams - Experience managing vendor relationships in the fraud/risk detection space - A deep interest in AI safety and responsible technology development <li&g
Senior Engineering Manager, AI Gateway
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 | Austin, US About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare's bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are obsessively agent-pilled. We don't just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader Cloudflare agent stack relentlessly, and we expect you to as well. Responsibilities - As the Engineering Manager for AI Gateway, you will lead a small, high-velocity team building that layer. This is a deeply hands-on role. You will be in the code, in the design docs, in customer conversations, and in the trenches with your team. We're looking for a generative builder who can move from half-formed idea to working prototype quickly, and bring a team along with that energy. We are obsessively agent-pilled. We don't just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader Cloudflare agent stack relentlessly, and we expect you to as well. - Set the technical and product direction for AI Gateway alongside engineers and PMs, then roll up your sleeves and help build it. - Build the software and the software that builds the software. Your team needs to build the context and toolchain that let agents help build, operate, monitor, and improve AI Gateway itself. - Inspire and energize a team shipping at the pace the AI ecosystem demands. Provider APIs change weekly, new models drop daily, and the gap between "good idea" and "in production" is measured in days, not quarters. - Obsess over deve
Manager I, Engineering - AI Platform - Training &...
The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Manage and grow the Training & Serving team, directly managing 10+ engineers - Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. - Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs - Create a strong team culture aligned with our engineering standards and our customer focus - Participate in hands-on work: Code reviews, design reviews and some coding Who You Are: - Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager - Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader - Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams - Interested in working on an early stage project with many challenges to solve and a fast iteration cycle - You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders - You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 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: - New hire stock equity (RSUs) an
Senior Machine Learning 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. Available Locations: Austin, TX - Hybrid 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 and build systems that truly run the business. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do - Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. - Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) s
Machine Learning Engineer
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Bellevue, WA, with in-person attendance expected at least three days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. The responsibilities will include: - AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based model architecture and large foundational models to identify solutions for Robinhood specific problems. - Model Development and Implementation : Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation. - A/B Testing and Experimentation : Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results. - Data Analysis and Insight Generation : Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance an
Principal Data Scientist, Ads
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do - Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. - Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue. - Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments. - Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams. - Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale
Data Scientist, Policy
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 As one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world. You'll sit at the intersection of data science and public affairs, transforming internal product usage and survey data into clear, accurate, and consistent evidence the Policy team can use to inform its positions, demonstrate Anthropic’s relevance to policymakers, and measure the impact of its work. Your analyses will directly inform how legislators, regulators, and the public understand Anthropic's footprint and contribution. This is a highly cross-functional role that is foundational to Anthropic's mission of bringing powerful AI to the world in a way that benefits humanity. Key responsibilities - Partner with product and business teams across the company to produce supporting analyses and data collateral for specific policy position papers and partnership conversations - Determine which metrics faithfully represent our company to legislators, regulators, and the public - Own the dashboards and pipelines that keep externally-shared numbers consistent, so the Policy team can move quickly without creating discrepancies - Use AI tools to aggregate news, policy developments, and other public data sources to track trends and provide a clear picture of the evolving regulatory landscape - Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns - Design and implement policy analyses to support internal position development or measure the impact of policy implementation for external audiences Minimum qualifications - Proficiency in Python, SQL, and data analysis tools, with experience working with external and public data sources - Experience producing analysis that reaches external audiences such as policy, communications, investor relations, public affairs, or published research - Applied causal inference using quasi-experimental designs (e.g., difference-in-differences, regression discontinuity, synthetic control, instrumental variables, or matching) to measure policy or program impact from observational data - Demonstrated ability to translate complex analyses into clear, actionable recommendations for audiences with differing levels of technical fluency Preferred qualifications - 6+ years of hands-on data science experience - Direct experience supporting a policy, government affairs, or regulatory team with data and analysis - Familiarity with investor-relations or financial-disclosure data standards and the consistency requirements they entail - Comfort operating in ambiguous, fast-moving environments where creating clarity and driving progress is part of the role - A genuine interest in Anthropic's mission of building safe and beneficial AI Deadline to apply: None. Applications will be
Member of Technical Staff (AI Software Engineer, M...
Perplexity is hiring builders to join our Multimodal AI group, an industry-leading team defining the next generation of human-AI interaction. Our team is creating experiences that move beyond the touch interface, allowing people to communicate with AI through the form factors that best meet their needs. These include through voice, images, video, or new modalities we have yet to invent. As an engineer on the Multimodal AI team, you will work across the stack to build the product experiences and platform systems that make this possible across our applications. Our stack spans immersive UIs, realtime audio processing, evaluation systems, backend infrastructure, and supporting libraries and SDKs. We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and multimodal platform systems for Perplexity. - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of multimodal AI. - Work closely with client verticals to integrate new features into their stack. WHAT WE'RE LOOKING FOR - Experience building and operating production systems at a meaningful scale. - Ability to work up and down the stack, from deep systems primitives to getting the pixels and prompts just right. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of multimodal AI products and willingness to learn quickly. - Ability to think through novel problems and implement companion long-term solutions that scale. NICE TO HAVE - Background including work with realtime audio or video processing. - Experience with audio stack technologies including audio processing modules (APMs), echo cancellation, noise reduction/cancellation, automatic-gain control (AGC), etc. - Experience with immersive UIs integrating with realtime data. - Some experience or familiarity with Rust or C++ OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Security Software Engineer, Detection & Response P...
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 seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. Responsibilities: - Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response - Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure - Architect solutions for storing and efficiently querying large volumes of security-relevant data - Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities - Work closely with security and infrastructure teams to understand requirements and deliver solutions - Mentor engineers and contribute to hiring and growth of the Security team - Participate in on-call shifts You may be a good fit if you: - 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines - Track record of building and maintaining internal developer tools or security platforms - Strong understanding of data processing pipelines and experience working with large-scale logging systems - Experience with: - Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) - Infrastructure-as-code (Terraform, CloudFormation) - Query optimization for large datasets - Experience with building stable and scalable services on cloud infrastructure and serverless architectures - Ability to write maintainable and secure code in Python - Experience working with security teams and translating requirements into technical solutions - Ability to lead technical projects with minimal guidance - Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship - Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics - Outstanding communication skills, translating technical concepts effectively across all organizational levels - Demonstrated success in bringing clarity and ownership to ambiguous technical problems - Strong systems thinking with ability to identify and mitigate risks in complex environments Strong candidates may also have experience with: - Experience building secu
Strategic Account Executive, Healthcare
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 Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers. The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities - Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers - Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets - Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases - Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota - Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations - Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors Minimum qualifications - 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations - A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases - Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies - Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process - Excellent communication skills, with the ability to present co
Policy Counsel, EMEA
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 is seeking a Policy Counsel to support our public policy and legal initiatives at the intersection of AI technology and regulation. As a member of our legal team, you'll work cross-functionally to navigate emerging policy challenges and help build and advocate for frameworks that promote responsible AI development. This is an exceptional opportunity to tackle novel legal and policy questions while contributing directly to the future of AI governance. Responsibilities - Support the development of AI governance frameworks that align with evolving regulations, industry best practices, and global standards Monitor and analyze emerging legislative and regulatory developments related to AI - Provide legal analysis and advice to the External Affairs team and other Public Policy stakeholders - Partner with Public Policy and technical teams in developing practical policy guidance that is informed by a deep understanding of our products - Assist in drafting policy positions and proposals and advocacy materials Minimum qualifications - Law degree and qualification to practice law in a relevant EMEA jurisdiction - Experience with policy, regulatory, or government affairs work, whether in government, at a technology company, a law firm, or a policy organization - Strong written and verbal communication skills, including the ability to make complex legal and technical concepts accessible to non-legal audiences - Strong analytical and problem-solving skills, with the ability to work through ambiguous policy questions Preferred qualifications - 6+ years of relevant legal experience - Experience working on complex technology policy issues across AI/ML policy, data privacy, copyright, or technology regulation - Familiarity with EMEA legislative and regulatory processes, including experience with EU or national-level advocacy - Experience drafting policy positions, comment letters, or regulatory submissions - Demonstrated ability to quickly understand AI concepts and translate them into policy contexts - Interest in government affairs matters and a commitment to responsible AI development - A collaborative, humble approach and the ability to work effectively across diverse teams - Comfort working in a fast-paced environment while maintaining attention to detail 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 Minimum years of experience: Years of experience required will correlate with the internal job lev
Procurement
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is scaling fast globally - and so is the complexity behind how we buy. Our vendor base spans AI infrastructure, cloud, data providers, SaaS tooling, contractors, agencies, and global services, often with usage-based pricing, fast-changing needs, and contracts that can become expensive or messy if not managed early. Procurement is the function that helps us move quickly without creating vendor sprawl, missed renewals, unclear ownership, or surprise commitments. The outcome is simple: better commercial terms, cleaner approval paths, stronger spend visibility, and vendor processes that support scale without adding unnecessary bureaucracy. The ideal person is an AI-native commercial operator: analytical, commercially sharp, low-ego, and hands-on. They use AI tools naturally to work faster, think from first principles, and are excited by building simple systems that make complex vendor spend easier to understand, manage, and improve. REQUIREMENTS - Strong procurement, sourcing, vendor management, or commercial operations experience in a technology, SaaS, AI, cloud, infrastructure, or high-growth environment. - Strong commercial judgment across usage-based pricing, SaaS contracts, cloud/infrastructure commitments, enterprise tooling, contractors, agencies, and professional services. - AI-native working style: actively uses AI tools to improv
Data Center Architect, CSA
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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do - Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions - Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction - Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports - Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems - Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements - Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities - Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards <
Amazon GTM Partnership, Startups
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 is seeking a candidate to drive our startup partnerships through Amazon/AWS. You'll own this key relationship, generate revenue opportunities, and work with senior leadership across both organizations to accelerate Anthropic's AI adoption for startups through AWS's global ecosystem. In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Key responsibilities - Develop and execute a GTM strategy for Anthropic's startup ecosystem initiatives through the Amazon/AWS partnership, including co-selling motions, enablement programs, and joint business plans - Build and own forecasting, pipeline development, and revenue targets for the partnership - Cultivate and maintain executive-level relationships across the AWS organization - Drive strategic planning and execution of joint marketing and sales initiatives - Design and implement scalable processes for partnership operations, including escalation management and performance reporting - Provide market intelligence and competitive insights to inform product and business strategy - Develop and execute segment-specific sales plays and enablement programs for startup audiences - Participate in annual business reviews with key stakeholders across both organizations - Identify and develop opportunities to expand the scope and impact of the partnership over time Minimum qualifications - Experience in enterprise sales, business development, or strategic partnerships, with a focus on the startup ecosystem - Demonstrated ability to build and execute co-selling or joint GTM strategies with a major cloud or technology partner <li class="font-claude-response-body whitespace-normal break-words pl-2"&g
Machine Learning Systems Engineer, Ads ML Platform
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. Team Overview We’re building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management. We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems. This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive. What You’ll Do - Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage. - Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use. - Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning - Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems. - Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management - Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives. What You Bring - 3+ years in data infrastructure/platform engineering or ML infrastructure platforms. - Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools. - Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies. - Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving. - Strong coding skills and ability to
Sr. Technical Sourcer
At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional sourcing role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with recruiters, hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. WHAT YOU'LL DO - Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels - Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance - Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines. - Build and refine your own tooling and workflows, leveraging AI to automate repetitive work and spend more of your time on high-judgment sourcing - Act as a candidate's first introduction to Perplexity AI, delivering an authentic and compelling story about our mission, product, and team culture - Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches - Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs WHAT YOU BRING - A strong desire to grow a career in sourcing, with clear dedication to advancing your craft and developing deep expertise in the field - Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles - Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper - Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges - Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before
Senior Staff Data Scientist - Consumer Experimenta...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis. Responsibilities: - Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment - Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation - Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches - Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product
AI Systems Engineer
AI Systems Engineer at welevel GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 06.06.2026.
Applied AI Architect, Partnerships
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: As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - <p
Member of Technical Staff (Golang Engineer, Search...
Join Perplexity AI as a Search Golang Engineer and help architect the next generation of massively scalable, AI-powered search infrastructure. In this role, you’ll leverage Golang to design, implement, and operate backend systems that handle millions of queries with uncompromising reliability and efficiency. Responsibilities: - Build highly scalable, distributed backend services using Golang - Design, develop, and maintain search infrastructure that supports exponential traffic growth - Engineer cloud-native solutions, optimizing for horizontal scale and rapid failover - Implement robust monitoring, autoscaling, and incident recovery strategies - Collaborate with product, infra, and devops teams to maximize throughput and resilience - Drive improvements in CI/CD, automation, and operational excellence for backend systems - Mentor peers and champion scalable design principles across the organization Requirements - Significant experience developing scalable Golang services for production environments - Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS preferred) - Proven track record implementing systems that scale to millions of users - Strong background in Linux performance tuning, monitoring, and debugging - Experience with CI/CD pipelines, containerization, and automation - Ability to proactively tackle scaling challenges—anticipating bottlenecks before they arise - Passion for building backend solutions that power real-time, reliable search
Technical Specialist, Claude Code
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 launches products at lightning speed and many of them grow at an unprecedented pace, too. For no product is this more true than Claude Code, the fastest-growing software product in history. That said, speed of adoption is not the same as depth of adoption. We’re building a team of Technical Specialists to drive meaningful adoption breadth and depth in our most strategic customers. We’ll do this through delivery of high-quality technical engagement and enablement in the customer’s ~ 90 days before and after contract signature. As a Technical Specialist, you’ll largely engage with customers post-sale. Once an account’s implementation set-up is complete, you’ll convert bottom-up developer passion into org-wide meaningful adoption through bespoke enablement tailored to the customer's stack, repos, and workflows and focused upon deep adoption of proprietary Claude capabilities, which we know drive stickiness. You'll also engage in strategic pilots before signature — partnering with Sales, Applied AI, and the customer's engineering leads to scope the pilot, run the enablement, and instrument the success criteria that close the deal. Carrying that context from pilot into post-sale is what makes adoption stick. This is not a technical implementation role — that work sits with our Implementation Specialists. You'll spend your time in front of developers launching Claude Code, department leaders adopting Cowork, on stage at customer events and Anthropic builder summits, and in Claude Code and Cowork, building the demo apps and reference implementations that prove what's possible. You’re the kind of person engineers want to grab coffee with after your workshops — credible because you can open a terminal in the meeting and actually drive the tool, exciting because you've thought hard about how agentic AI changes how software gets built, and useful because you can answer the next three questions a senior platform engineer is about to ask about security, scale, or agent behavior. What You'll Do: Drive end-user excitement inside enterprise accounts (primary focus) - Design and deliver customer-specific enablement programs — workshops, office hours, "build your first agent" labs, role-based curricula for engineering, data, platform, security, and knowledge-worker audiences - Drive deep adoption of proprietary Claude Code capabilities that make our tools sticky (subagents, hooks, MCP servers, headless mode, managed settings) tailored to the customer's stack, repos, and actual workflows (CI/CD, IDE integration, source control, secure coding, agentic pipelines) - Enable and excite champions and AI Center of Excellence leads inside customer orgs, arming them to scale the motion without you in the room Support strategic pilots with pre-sales technical enablement - Partner with Account Executives, Applied AI, and customer engineering leads on pilots for strategic accounts - Carry pilot context into post-sale engagement so the customer’s experi
Senior Machine Learning Systems Engineer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. - Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more - Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration - Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment - Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more - Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: - 5+ years of experience in ML infrastructure, including model training and model deployments - Hands-on experience with ML optimization, including memory and GPU profiling - Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more - Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb) - Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc. - Deep experience working with distributed training frameworks, including Ray and Kubernetes - Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. - Strong organizational & communication skills - Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus</li
Product Operations Manager, Claude.ai (Consumer &...
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: Claude.ai is Anthropic's most visible product surface, and how well our models perform there shapes how tens of millions of people experience Claude. We're hiring a Product Operations Manager to embed within the Claude.ai product team. The right candidate will help program manage model performance, launch readiness, and the general operating model on the Claude.ai and Growth product team. You'll balance hands-on execution with the systems that let the team ship new models and new features with confidence. You won't write evals yourself, but you'll make sure eval coverage exists, burn down lists get completed, and issues get resolved before they become surprises. You'll also run the team's core operating rhythms and invest in our feedback-loop systems connecting consumer users to what the product team does next. You'll shape how Product Operations works with within Claude.ai from the ground up. Responsibilities: - Operationalize model performance: prompting-update tracking, issue prioritization, and go/no-go decision making in tight collaboration with Research, Product, and Engineering - Own Launch Readiness for Claude.ai: launch checklists, coordination with XFN Teams, and observability into status and roadmap - Run team operations for Claude.ai & Growth - Invest in feedback-loop systems: intake, triage, synthesis for consumer users - Coordinate across functions without formal authority You may be a good fit if you have: - Have 5+ years of experience in product operations, program management, or launch readiness roles at fast-paced tech companies. - Have operationalized model performance before, ideally at an application-layer AI product company, without necessarily writing evals yourself - Have built or fixed an operational process end-to-end, not just executed someone else's plan - Thrive in ambiguity, this role is still being defined - Bring real cross-functional influence - Have built a feedback or issue-triage system from scratch Bonus: - Large-scale consumer product experience - Startup 0-to-1 background - EAP or beta program experience 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: $240,000 - $260,000 USD Logistics Minimum education: Bachelor’s degree or an
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