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Staff+ Software Engineer, Developer Productivity
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 — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: - Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans - Define infrastructure architecture, 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 workloads across all engineering teams - Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds - Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in the software development lifecycle - 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: - 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead - Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale - Experience building or operating remote build execution systems (B
Applied AI Technical Evangelist, Startup Ecosystem
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 Technical Evangelist on the Startups team, you'll be the face of Anthropic in the startup ecosystem, driving awareness and activation among founders and their technical teams by showing them exactly what's possible with Claude and how to build it. Your focus is the startup developer community: getting builders from first API call to production, and turning early curiosity into committed platform adoption. This role sits at the intersection of technical depth and ecosystem development. Unlike a traditional DevRel or community role, this is built for someone who has shipped products, lived the early-stage grind, and can speak to a technical co-founder as a peer. Someone who builds live demos and writes real code, not just talks about what Claude can do. Your primary mandate is inspiring adoption across the startup funnel, turning ecosystem touchpoints into active, building developers on Anthropic's platform. You'll work closely with the Startups GTM team to convert relationships with VCs, accelerators, and founder communities into developers who are genuinely building. Key Responsibilities Drive Developer Adoption Through Hands-On Technical Activation - Lead live, hands-on developer sessions at ecosystem events that take startup founders from first API call to committed platform adoption — building in the room, not just presenting slides - Design and run build-a-thons, technical office hours, and workshops at VC and accelerator partner events that activate developers against their real use cases - Develop a repeatable playbook for turning ecosystem touchpoints into measurable developer sign-ups and active usage - Partner closely with the Startups GTM team to create clean handoffs from relationship → activation → retention Build Technical Content That Founders Actually Use - Create production-quality technical resources and products — working code samples, reference architectures, tutorial repos, and blog posts — that help a 2-person team ship with Claude in under a week - Build live demos and prototypes that showcase Claude's real capabilities for common startup use cases, not marketing-grade toy examples - Partner with the Product team to stay current on platform capabilities and ensure content reflects what's actually differentiated about Claude Own Developer Programming at Startup Events - Lead the technical track at Anthropic's builder summits and global startup activations - Design creative sessions that move developers from curious to building within a single event — with a bias toward live coding over slide decks - Identify and build relationships with key technical communities — open-source contributors, developer platforms, and accelerator cohorts — to grow Anthropic's developer mindshare - Be a trusted, credible technical resource in the startup ecosystem that founders come to for advice Partner Across GTM a
Account Executive - ElevenCreative - Germany
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 You will own the ElevenCreative enterprise sales motion across the DACH region, building pipeline and closing deals with enterprise creative and marketing teams. DACH has one of the strongest existing enterprise footprints for ElevenLabs, with meaningful ARR, proven deal velocity, and growing creative demand - this is a market where we are accelerating, not experimenting. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and econo
Staff Machine Learning Engineer, Ads Content Under...
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 . Ads Content Understanding (ACU) is Reddit’s core commercial content understanding team for Ads. The team owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: - The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources). - Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics. - Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations. - Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs. - Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. We are looking for a Staff Machine Learning Engineer who will lead the Commercial Content Understanding roadmap for the Monetization org and act as the technical owner for ACU’s signals and ML systems. Roughly 50% of their time should be spent in technical leadership and mentorship (driving designs, standards, cross-team alignment), and 50% in direct hands-on work (modeling, pipelines, and debugging complex production systems). Responsibilities: - Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. - Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices. - Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost) - Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products. - Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure ef
Forward Deployed Creative
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 builds the tools that let creators and marketers generate and edit speech, music, images, and video with AI. Our enterprise customers - agencies, studios, brands, and media companies - are adopting these tools to transform how they produce creative at scale. The gap between having access to the platform and getting real value from it in production is where this role lives. We are looking for an AI Creative Director to work directly with enterprise customers, helping them deploy ElevenLabs' creative tools into their actual production workflows. This is a hands-on, forward-deployed role. You will sit at the intersection of creative expertise and product knowledge - understanding what our tools can do, showing customers how to use them, and building the workflows and templates that make adoption stick. You will partner with customers' creative and production teams to understand their current pipelines, identify where AI-powered tools fit, and demonstrate what is possible through hands-on work. You will create reference content, prototype workflows, and produce case studies that show real results. You will also work closely with our product and engineering teams - bringing field insights back to shape the roadmap. The right person for this role has deep creative production experience and genuine fluency with AI creative tools. You are not
Staff Fiber Network Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building Anternet — a private, global dark-fiber backbone connecting our data centers, cloud regions, and partners. We light our own glass: long-haul and metro DWDM over leased dark fiber and IRU pairs terminating on our own optical line systems and routers. We're looking for a Staff Fiber Network Engineer to own the physical layer of this network end-to-end. You'll be the person who decides where the fiber goes and then makes sure it actually shows up, splices clean, and tests to spec. This is equal parts route engineering, vendor management, and field-delivery program management — the connective tissue between "we need N×Tbps between these two metros" and "the span is lit and carrying traffic." This is a foundational role building Anternet's fiber program from the ground up. You'll define the inventory system, set acceptance standards, and establish the vendor bench yourself. You'll work closely with our optical/transport engineers (who design the line systems on top of your fiber), our backbone routing team, and our data center and capacity planning teams. Key responsibilities - Route engineering and design — Plan terrestrial fiber routes between Anternet PoPs and data centers. Evaluate diversity (SRLG, conduit, ROW, landing-station separation), latency, and OSNR/loss budgets. Produce route KMZs, splice diagrams, and as-built documentation - Fiber acquisition — Source and qualify dark fiber, IRU, and wavelength options from carriers and infrastructure providers. Run RFPs, compare bids on cost, route quality, diversity, and MTTR, and drive contracts to signature alongside legal and procurement - Vendor and delivery management — Own the build from PO to acceptance: track splicing, lateral construction, building entries, meet-me-room cross-connects, and CLS access. Hold vendors to schedule and SLA; serve as the escalation point when a span is late or fails OTDR - Acceptance and characterization — Define and enforce fiber acceptance criteria (OTDR bi-directional, IL/ORL, CD/PMD where relevant). Review test results, reject substandard spans, and sign off on handover to the optical team - Capacity and lifecycle management — Maintain the source-of-truth fiber inventory (strands, conduits, splice points, leases, IRU terms and renewals). Forecast fiber needs against our PoP and capacity roadmap. Monitor degradation and quality over time - Operations — Partner with NOC and field-ops on fiber cuts, locates, and repairs. Drive root-cause analysis with vendors and feed lessons back into route-diversity decisions Minimum qualifications - Experience in OSP/fiber planning or network delivery at a carrier, hyperscaler, dark-fiber provider, or large enterprise backbone - Demonstrated experience taking long-haul or metro dark-fiber routes from design through acceptance — can read an OTDR trace and engage substantively with vendors on splice quality <li&g
Threat Intel Manager, Influence Operations & Surve...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our Influence Operations & Surveillance team within Threat Intelligence. This team detects, investigates, and disrupts the misuse of Anthropic's AI systems for influence operations, coordinated inauthentic behavior, and surveillance operations by authoritarian states and the commercial spyware ecosystem. This is a ground-floor leadership role. The mission area today produces some of our most consequential casework and external reporting almost entirely through manual investigation; you will stand up its purpose-built detection capabilities, set the strategy for how a frontier AI company finds and counters state-linked information manipulation and surveillance misuse, and you'll personally be involved with the most complex investigations. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the Influence Operations & Surveillance threat intel mission area - Hire, manage, and develop a small team of technical threat investigators with IO and surveillance expertise - Personally lead investigations into state-linked surveillance misuse including commercial spyware vendors and surveillance products whose end customers are authoritarian governments and AI-enabled influence campaigns - Stand up the mission area's first automated detection: abuse signals, behavioral clustering, and coordinated-network detection tailored to information manipulation and surveillance tooling - Conduct cross-platform analysis linking on-platform activity to broader campaigns across social media, messaging platforms, and the spyware supply chain - Attribute campaigns to specific actors, with particular focus on state-sponsored operations from geopolitically significant regions - Own external engagement: government partners, platform integrity teams, academic and civil-society researchers, and threat intelligence sharing communities - Drive public and partner-facing reporting on AI-enabled IO and surveillance, and inform safety-by-design strategies as multimodal and agentic capabilities reshape the landscape Minimum qualifications - Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, or state surveillance / commercial spyware ecosystems - Have led investigative teams or threat intel teams. - Have demonstrated proficiency in SQL and Python for data analysis and threat detection - Have experience attributing campaigns to specific threat actors, including state-sponsored operations - Have strong OSINT tradecraft for investigating online information ecosystems - Have hands-on experience with large language models and how they can be weaponized for IO and surveillance - Can present analytic
Customer Success Manager, Scaled
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 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, stickiness, retention, and expansion at scale. This role sits at the intersection of Customer Success innovation and AI transformation. As a Scaled Customer Success Manager at Anthropic, you'll be owning the success of a large portfolio of Commercial and Enterprise customers, you’ll design and execute scalable customer journeys through digital touch points, automated programs, one-to-many engagements, and strategic human intervention. You won't just manage customers — you'll "Claudify" the customer experience by building AI-powered processes that transform how customers adopt and derive value from Claude. Your work will directly shape how we engage customers at scale while maintaining the personalized, high-value experience that defines Anthropic. You'll collaborate closely with our Programmatic Success team to develop compelling customer content, with Sales organization to co-develop strategic plans, ensure seamless handoffs, and drive growth opportunities, with Product to channel customer insights and build consumption-driving features, and with Customer Success leadership to continuously optimize our scaled engagement model, all while pioneering how we leverage our own AI capabilities to transform digital customer engagement. Responsibilities: - Own scaled customer engagement for a large portfolio of Commercial and Enterprise accounts, managing customers through timebound, digital-first touchpoints that drive activation, consumption, retention, and expansion across Claude Enterprise, Claude Code, and API products - Execute timebound strategic human touchpoints at key moments— customer activation, expansion discussions, renewal conversations, risk interventions - ensuring high-impact interactions when customers need them most - Provide technical guidance. Develop deep product expertise to guide implementation decisions, advise on safe, impactful adoption of new features, , and translate AI capabilities into business value for audiences from developers to executives - Channel customer voice back to Product and leadership by aggregating insights from digital interactions, surveys, and community engagement to influence roadmap and improve customer experience - Partner cross-functionally with Marketing on customer campaigns, Sales on handoffs and growth, Product on adoption-driving features, and Customer Success on playbook development and optimization - Triage and prioritize across a pooled book. Work from a shared queue of engagement requests across a large customer pool. Ramp quickly on unfamiliar accounts, ruthlessly prioritize through a business-impact lens, and maintain quality across high concurrent volume.<
Senior Staff Machine Learning Systems Engineer, In...
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 . Team The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data. With a focus on performance, reliability, and scalability, we enable real-time access to high-quality data that supports a wide range of applications, including Content Understanding, Semantic, Lexical retrieval & GenAI applications. How You'll Have Impact You’ll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production and going beyond incremental improvements to reimagine core platform capabilities. As part of a high-impact, cross-functional team, you’ll solve complex technical challenges to build scalable, reliable platforms that empower developers to efficiently ship critical ML features. Languages: Go, Java, Python, or any object oriented programming language Frameworks: Flink, Airflow, Spark for large scale batch & stream processing Databases: Familiarity with Vector, Lexical & Key-Value Databases Tools: Kubernetes, Docker, AWS, GCP What You’ll Do - Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval, and emerging GenAI applications. - Partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences. - Define best practices for observability, reliability, and o
Web Producer, CMS Publishing
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 The web operations team is part of Anthropic's Creative Studio — the in-house team responsible for brand expression across Anthropic and Claude. We're responsible for how content gets built, published, and maintained across anthropic.com and claude.com, and we care deeply about quality, consistency, and getting things right. We're looking for a Web Producer to join us in a hybrid production and content role, working at the intersection of editorial precision, web craft, and operational coordination. You'll be a trusted partner to content teams across the company, helping them navigate the publishing process, execute content updates, and build out pages that meet our quality bar. You'll also play a key role in keeping our web operations running smoothly by triaging incoming requests, coordinating smaller projects, and supporting launches with careful QA. You won't just execute tasks — you'll help improve the publishing experience for everyone who depends on it. Key responsibilities - Build and publish content across our CMS platforms, including assembling templated pages and maintaining content collections with accuracy and consistency - Own the web intake queue by triaging requests from partners, setting clear expectations on scope and timing, and keeping work moving - Perform thorough QA across staging and production environments before content goes live, catching errors in copy, formatting, links, and rendering - Support web launches and campaigns by coordinating content publishing across relevant surfaces and flagging risks before they become problems - Partner with marketers and content teams to help them work effectively within our web infrastructure — answering questions, providing guidance, and reducing friction in their publishing experience - Develop and maintain documentation and training resources that help partners publish confidently and independently - Collaborate with design engineers and the broader web team to ensure content is implemented correctly and templates are used as intended - Maintain the governance and training around publishing access and guidelines - Identify patterns in recurring requests or issues and surface opportunities to improve how we work Minimum qualifications - Have hands-on experience publishing and building content in a CMS - Have strong attention to detail — you catch what others miss and hold a high quality bar for anything that goes live - Have experience coordinating requests or projects across multiple stakeholders with competing priorities - Are a clear communicator who can set expectations, provide updates, and explain technical concepts to non-technical partners - Can document processes and create training materials that help others work more independently Preferred qualifications - Experience working with headless CMS platforms (contentful, sanity etc…) and component-based design systems - Background in web production, content operations, or
Senior Data Scientist
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 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. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. Responsibilities - Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. - Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. - Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. - Strong audience focused presentation and storytelling skills focus
Technical Program Manager, Apps Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is investing in shared platform capabilities that power Claude across our consumer and developer products: the common foundation that Claude, Cowork, Claude Code, and future surfaces are built on. We're hiring a Technical Program Manager to be the connective tissue for this effort, someone who ensures we're building the platform the rest of Anthropic's products are built on, and that product teams actually get leverage from it. This is not a single-team TPM role. You'll work across the platform engineering teams and every product team that consumes the platform, driving one cohesive roadmap rather than a collection of disconnected workstreams. Success looks like products at Anthropic shipping more easily, faster, and more reliably because they're built on a common foundation, with developer velocity increasing measurably across the company, not just within one team. Responsibilities - Own the cross-Apps platform roadmap end to end: sequencing, dependencies, and tradeoffs across platform teams and the apps teams that depend on them - Drive alignment between platform engineering and apps teams so platform investments map to real consumer needs and adoption actually happens (leverage only exists if teams build on the platform) - Identify duplication across surfaces and convert it into shared platform capabilities - Establish the operating rhythm: planning, status, escalation paths, and launch coordination across orgs - 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 platform engineering efforts (shared services, developer platforms, or common capabilities consumed by multiple product teams) and can engage meaningfully with the engineers building them - Have driven platform adoption across consuming teams, where success depended on other teams choosing to build on what you shipped - Have experience coordinating across multiple engineering teams and organizations simultaneously - 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 bringing AI capabilities to users safely and reliably The annual compensation range for this role is listed below.
Internal Communications Manager
Perplexity is seeking an Internal Communications Manager to build that function from the ground up. You will own how information moves through Perplexity. You will be responsible for what Perplexity employees think, feel, know, and do. This is a 0→1 role with executive exposure from day one. If you believe internal comms is a strategic function and want to shape how an n(1) company talks to itself, this role is for you. Responsibilities - Listen and learn across the company. Understand what’s happening, how, and why in order to make sound recommendations on what should be amplified or addressed. - Run all-hands and executive content. Planning, execution, measurement, and evolution. - Internal storytelling. Turn strategy, launches, and hard decisions into messages that bring clarity to every team. - Be the signal in noise. Cut through Slack sprawl. Establish the channels, cadences, and norms that keep a fast company informed without drowning it. - Own change management. Deliver hard and easy news with equal clarity and candor. Earn trust for the message and the messenger.. - Protect the culture. Words set the tone. Make sure ours sound like us as we grow. - Measure what matters. Perplexity is a high-velocity high-humility organization. - Partner across the company. Work with every team, brief executives directly, and earn standing as a truth-teller. Qualifications - 6+ years in internal, executive, or corporate communications, ideally inside a high-growth technology company. - A builder, not a maintainer. You've stood a function up, not just kept one running. - World-class writing and editing. You can ghostwrite for an executive, draft an all-hands, or defuse a sensitive announcement in any voice or format. - Proven change-management instincts. You've delivered complex news to a whole company and kept trust intact. - Sharp judgment under pressure. You decide fast, say the hard thing kindly, and hold the line on quality on launch day. - Comfort with executives who hold a strong vision. You can advise, challenge, and make recommendations to senior leaders without flinching. - Deep familiarity with the rules of corporate comms, and a clear point of view on which ones to break and when. - Comfort using AI tools in your workflow, and the ability to say exactly where and how you use them. - A passion for the truth well-told
Salesforce Developer, 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 Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our Partnerships business: deal registration, partner attribution, co-sell, and cloud marketplace operations. You'll work both autonomously and collaboratively across Revenue Operations, Partnerships, and Finance to translate partner-channel requirements into scalable Apex, Flow, and integration solutions. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Key responsibilities - Design and build Partnerships infrastructure in Salesforce, including deal registration workflows, channel-conflict detection, partner attribution, and partner account hierarchy - Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework - Build and own integrations between Salesforce and partner-ecosystem systems such as cloud marketplaces (AWS, GCP, Azure), PRM tools, and middleware - Configure partner-facing portals with appropriate sharing, visibility, and license-model design - Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow - Partner with Revenue Operations analysts to ensure data-model decisions support downstream partner performance reporting - Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling - Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment - Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale Minimum qualifications - Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org - Experience building or maintaining partner/channel functionality in Salesforce: deal registration, partner portals, attribution models, or co-sell opportunity management - Experience integrating Salesforce with external platforms via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts - Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review - Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output - Basic SQL skills and comfort working alongside a data warehouse - Effec
Manager, Account Executives, 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 As a Manager on the Startups team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing startup customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: - Lead, coach, and develop a team of 5-10 Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance - Own team revenue targets, developing strategies to accelerate growth - Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring - Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio - Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts - Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications - Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics - Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: - 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams - Proven track record of consistently exceeding team revenue targets and developing high-performing account executives - Strong understanding of the startup ecosystem and experience working with high-growth technology companies - Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment - Strong analytical and problem-solving skills with a data-driven approach to decision making - Excellence in cross-functional collaboration and stakeholder management - Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions - Demonstrated ability to coach and develop talent while maintaining high performance standards 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: €265.000 <span class="di
Software Engineer, Machine Learning
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. - Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows. - Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. - Work with product engineers to define and deliver impactful AI features across Figma’s platform. - Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. - Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma. We’d love to hear from you If you have: - 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI. - Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring. - Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost. - Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality. - Experience mentoring or leading others and contributing to a culture of technical excellence and innovation. While not required, It’s an added plus if you also have: - Familiarity with search relevance, ranking, NLP, or RAG systems. - Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows. - Experience working on creative or design-focused ML applications. - Knowledge of additional languages such as C++ or Go is a plus, but not required. - A product mindset with the ability to tie technical work to user outcomes and business impact. - Strong collaboration and communication skills, especially when worki
Events Lead - LATAM
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 Spanish-speaking Latin America is one of our fastest-growing markets, and we're looking for a highly motivated Events Marketer to lead planning and execution of impactful events across the region. Your work will deepen ElevenLabs' presence, drive brand awareness, and generate high-quality pipeline in partnership with our LATAM marketing and GTM teams. You'll own the full lifecycle of in-person owned events, third-party tech conferences, executive dinners, workshops, webinars, sponsorships, and strategic partnerships. You'll adapt and localize successful playbooks from our global programs while identifying new, high-impact opportunities unique to the region. In this role, you will: - Develop and execute event plans aligned with business objectives across Mexico, Colombia, Argentina, Chile, and beyond - Organise third-party conferences, owned branded events, and strategic dinners with key customers and prospects - Collaborate cross-functionally with sales, marketing, and GTM teams for seamless execution - Create compelling event messaging that resonates with local audiences - Manage event budgets and timelines end to end - Analyze event performance and provide recommendations for future improvements - Build and maintain relationships with sponsors, partners, and vendors across the region What you bring: - 5+ years events experience, with at least t
Backend Engineer, AI Security
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 AI is moving fast and Stripe is moving fast to adopt it. But we need to make sure we do all of this safely, and for most of these tools, enterprise-grade security isn't just available off the shelf. That's where the AI security team comes in—we're responsible for building and partnering to create the right security primitives to enable Stripe to move fast safely. This is a team that works in the low-level components of our AI stack, so both infrastructure and security experience are pluses. This space is moving fast, so being comfortable with ambiguity and changes in priority is a must. This is a foundational role—you'd be the first engineer on the team. What you'll do Engineers on this team do a mixture of partnering and advising with teams building AI infrastructure and products, and building security infrastructure primitives for AI. One of our major focuses is building a security tooling layer that sits in the inference path, providing detection and protection against AI-specific threats like prompt injection, jailbreaks, and tool misuse. Responsibilities • Build security frameworks integrated with our core AI infrastructure • Design and implement defenses against AI-specific threats like prompt injection and jailbreaks • Collaborate with other engineering teams to ensure our AI infrastructure and products are built securely • Support other engineering teams in integrating security primitives • Uphold our high engineering standards and improve our codebase and processes • Design and build systems that help define the state of the art for AI security Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements • 5+ years of software development experience • Experience independently designing and developing medium-to-large projects • Experience working collaboratively across multiple engineering teams • Experience writing high-quality code in a major programming language • Ability to drive clear next steps when working in an ambiguous environment • Ability to think creatively and reason clearly in a complex problem domain Preferred qualifications • Experience developing, deploying, and maintaining reliable infrastructure systems • Experience in security engineering • Experience building AI agents or LLM-based systems
Software Engineer - Edge AI
This is an exciting opportunity for a software engineer passionate about open source software, Linux, edge computing, and AI. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. Your role will be to help us provide easy-to-deploy, secure, and customizable edge AI solutions, specifically focusing on Inference Snaps. You will work on designing and implementing silicon-optimized application packages for AI/ML inference, targeting devices from embedded systems to powerful gateways. Linux will be at the core of your everyday challenges. In our team we value collaboration, peer reviews, good integration/unit testing, and writing maintainable code. General knowledge and experience with Linux as a developer platform is required. What you’ll do - Collaborate proactively with a distributed team - Develop and maintain open-source AI/ML inference application packages - Debug issues and produce high-quality code to fix them - Review code produced by upstream and/or other engineers at Canonical - Discuss ideas and collaborate on finding good solutions - Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions - Secure deployment of AI inference platforms on Linux - Build optimized AI solutions for local inferencing on Ubuntu - Work from home with global travel 2 to 4 weeks for internal and external events Who you are - Proven track record of at least 3 years of professional software development using Go or C++. - Experience working on and developing applications for Linux - You have interest and experience with a few of the following: - Containers (docker, kubernetes) - Snap, debian, or RPM packaging - Bash scripting - CI/CD (GitHub Actions, GitLab CI, etc) - Local AI/ML inference frameworks - Hardware accelerators: GPU, NPU - You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated - You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, the world’s best free software platform. Our services help businesses worldwide reduce costs, improve efficiency and enhance security with Ubuntu. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity , we will give your application fair consideration. LI-remote
Finance & Strategy, Datacenter FP&A
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 a Strategic Finance Lead to own the operating P&L for Anthropic's datacenter infrastructure partnerships. This role will be the finance owner for every site covering lease, power and operations. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to keep our sites on budget, drive operating costs down, and de-risk our largest infrastructure exposures. You will own the near-term forecast for datacenter spend, run budget-vs-actual on projects, and serve as the primary finance counterpart to our datacenter operating partners. Key responsibilities: Datacenter Financial Planning & Analysis - Own FP&A for all live-site datacenter operating costs including lease/rent, power, hardware ops, facility/DC ops, physical security, warehousing, and operator fees - Build and maintain per-site cost forecasts; refresh on a cadence that supports monthly reviews and board reporting - Run budget-vs-actual on datacenter developer spend and site build budgets, tracking expected eventual spend against approved commitments - Own the in-year power cost model across pass-through and direct costs - Reconcile operating partner invoices to forecast and lead the finance operating cadence with datacenter partners - Partner with Accounting on contract operationalization, lease accounting, and close Strategic Projects - Lead financial analysis for site-level optimization initiatives and operating model decisions - Handle operational finance asks tied to datacenter partners and live sites - Partner with the Datacenter Expansion lead on deal-to-operations handoffs, ensuring budgets set at signing are operationalized at commissioning Minimum qualifications - Experience in strategic finance, infrastructure investment, FP&A, private equity, consulting, or investment banking, preferably with datacenter, energy, real estate, telco, or managed-services infrastructure experience - Owned an infrastructure operating P&L and driven cost-out programs against it - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Comfort being the finance person in the partner/vendor room and partnering with technical operating teams - B
Customer Success Lead - Western Europe
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 As the Customer Success Lead you'll lead a team of experienced Customer Success team members across the Western Europe region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing CS team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning customer success initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent
Sales Development Lead - APAC
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. As the Sales Development Lead based in Singapore, you will own the outbound sales strategy for the region while building and developing a high-performing SDR team. You'll work closely with Account Executives and sales leadership to turn ElevenLabs' breakthrough voice technology into new pipeline for enterprises across APAC. In this role you will: - Build, coach, and manage a team of SDRs, setting the bar for outbound execution and pipeline generation. - Design and continuously refine the outbound playbook — research, prospecting, cold calling, emailing, and social outreach — for the APAC market. - Partner closely with Account Executives to align on prospect feedback, objections, and market trends, and translate that insight into sharper outreach. - Own KPI tracking and reporting for the team — conversion rates, lead quality, and outreach effectiveness — and use that data to optimize strategy. - Collaborate with sales leadership to scale process as the team and market mature. - Act as an escalation point and mentor for the team, unblocking deals and developing individual reps' skills. Requirements - 6-8+ years outbound B2B sales experience, including experience leading, mentoring, or managing an SDR/BDR team. - Track record of personally securing new business meetings and a track record of coaching others to do the same. - Demonstrated ability to build opportuni
Director, Product Management - AI Observability
Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We’re looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog’s leadership in AI observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. - Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. - Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. - Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. - Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. - Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. - Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. - Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. - Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: - You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. - You have deep technical knowledge of AI technologies and a strong understanding of mac
Model Risk Management Lead, Machine Learning
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. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse. What You’ll Do - Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring - Identify model weaknesses and opportunities for improvement - Collaborate with model owners to remediate model validation findings - Partner cross-functionally to implement and maintain the company’s MRM framework - Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests What We Look For - 4-6 years of professional experience in related technical areas such as model development, model validation, data science - Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management - Proven ability to work with script languages(e.g., Python) and large-scale dataset (e.g., SQL) - Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases - BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science - Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving - Extraordinary interpersonal and verbal/written communication skills Pay Grade - M Equity Grade - 8 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for
Growth Account Executive, AI Native
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 Growth Account Executive at Anthropic, you'll drive expansion and retention of our fastest-growing startup customers by helping them harness the transformative potential of safe, frontier AI. You'll leverage your consultative sales expertise to grow revenue while becoming a trusted strategic advisor, helping customers expand their AI capabilities and unlock new use cases. Working closely with GTM, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong sales acumen with relationship management skills, focusing on growing accounts through strategic upsells while maintaining high retention rates. By driving expanded deployment of Anthropic's emerging products, you will help enterprises scale their AI capabilities while advancing its ethical development. Responsibilities: - Drive revenue growth through strategic account expansion and renewals - Own the full sales cycle for upsell opportunities while maintaining strong retention rates - Build and maintain trusted relationships with key stakeholders across your portfolio of high-growth startups - Lead strategic account planning including Quarterly Business Reviews, health checks, and renewal negotiations - Partner with customers to identify new use cases and opportunities to expand their AI capabilities with Anthropic - Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap - Develop and execute account strategies that align Anthropic's solutions with customer business objectives - Proactively identify and mitigate retention risks while maintaining high customer satisfaction You may be a good fit if you have: - 5+ years of experience in sales or account management roles, with a proven track record of growing accounts and exceeding retention targets - Success as a strategic business advisor, deeply understanding startup needs and creating innovative solutions that align with their vision - Experience managing complex sales cycles, working with technical stakeholders, and negotiating strategic deals - Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to C-level executives - Analytical approach to understanding customer needs combined with creative solutions to drive expansion - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - Experience running strategic business reviews and managing executive relationships - Track record of consistently meeting or exceeding quota in fast-paced environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation ra
Machine Learning Engineer, Capital Underwriting
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe Capital provides access to fast, flexible financing to small-and-medium businesses on Stripe to accelerate their growth, and we lent over $1B in 2024. Businesses use the funds for marketing, team growth, geographic expansion, working capital, new equipment purchases, and much more. Machine learning is core to Stripe Capital’s business—we use information about businesses from their activity within and outside of Stripe and our models to automatically underwrite uniquely tailored financing offers to their needs, which banks are often unable to do. We are doing so through models with an established performance history, data infrastructure that is Stripe scale, and a strong feedback loop that includes explainability, anomaly detection and a risk portfolio management layer. We're an end-to-end team going from ideas to models to shipping in production. What you’ll do As a machine learning engineer for Stripe Capital, you'll be responsible for designing, building, training, evaluating, deploying, and owning ML models in production with the goals of providing financing opportunities to as many users as possible while satisfying financial performance goals. You'll work closely with software engineers, data scientists, product managers, and risk managers to operate Stripe’s ML powered systems, features, and products. You'll also contribute to and influence ML architecture at Stripe and be a part of a larger ML community. Responsibilities - Design state-of-the-art ML models and large scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints - Design systems to speed up the time from idea to deployment of new models - Experiment and iterate on ML models (using tools such as PyTorch and TensorFlow) to achieve key business goals and drive efficiency - Develop pipelines and automated processes to train and evaluate models in offline and online environments - Integrate ML models into production systems and ensure their scalability and reliability - Collaborate with product and strategy partners to propose, prioritize, and implement new product features - Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions Who you are We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment. We’re looking for someone who can bring new ideas to the table on building models able to push the state of the art at Stripe, especially within the regulatory and operational constraints of a financin
Staff+ Software Engineer, Identity & Access Contro...
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 Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Identity & Access Controls team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Key responsibilities - Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are - Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases - Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs - Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it - Detect and remediate account takeover - Integrate with third-party identity verification and data enrichment vendors - Create monitoring dashboards, alerts, and internal admin tooling - Work closely with policy, enforcement, threat intelligence, and go-to-market teams to ensure access decisions are well-informed and consistently applied Minimum qualifications - A Bachelor's degree in Computer Science, Software Engineering, or comparable experience - Experience building and operating backend systems in production - Proficiency in Python and SQL - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders - Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications - 8+ years of industry software engineering experience (not including internships and co-ops) - Experience with identity, authentication, or authorization systems at scale - Experience with KYC/KYB workflows or identity verification vendors - Experience in trust and safety, integrity, fraud, or abuse detection - Experience detecting and responding to account takeover or credential compromise - Experience partnering with operational teams to build custom internal tooling 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. <div class="
Product Manager, AI Platform
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas. We're looking for deeply technical Product Managers to own the AI Platform that powers Make and the agent: the distributed developer systems behind Figma Make, the agent infrastructure that integrates frontier models and MCP servers, the eval platform that drives continuous quality across our AI suite, and the context platform that personalizes AI outputs to customers' design systems. These roles sit at the intersection of product and infrastructure. If you're excited about developer tooling, systems thinking, and building the foundations that other product teams ship on top of, this role is for you. These are full time roles that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: You’ll define and drive the platform strategy for one or more areas of the AI platform: the big bets, build-vs-buy calls, and how to sequence it all. Those areas: - Developer systems: how code is generated, edited, previewed, and published, and how Make works with real production codebases - AI services: how and when to integrate with the latest products and platforms from frontier labs, and when to build our own - Evals and continuous quality: the methodology and infrastructure that lets every Figma AI feature improve week over week - Search & context: how Figma leverages context from inside and outside our platform while retaining the trust of enterprise customers As you drive platform strategy, you’ll: - Influence product roadmaps where platform capabilities create new product opportunities. - Partner with EM and tech leads to make key architecture and UX decisions. - Talk frequently with product teams , customers, and our partners & vendors, and distill learnings from those conversations into platform commitments. - Raise the bar for technical PMs at Figma: pattern-match across the four areas, surface cross-cutting problems, and pull peers and EMs into the calls that need them. We'd love to hear from you if you have: - 8-10 years of product management experience working on highly technical products - Proven experience shipping developer tools, infrastructure products, or AI-powered technical systems - Experience working on AI agent systems, code generation tools, or programmable interfaces - Hands-on technical fluency: you've built and shipped things yourself — at work, in side projects, or in open source — and you can read a PR, you can participate actively in architecture conversations - Strong systems thinking: you understand how complex components i
Demand Generation Lead
Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You’ll own Perplexity’s demand generation engine for our enterprise and business products, partnering closely with Sales, Product Marketing, and Revenue Operations to accelerate pipeline and revenue growth. If you’re the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment—this role was written for you. RESPONSIBILITES - Own Perplexity’s end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue. - Architect and operate a modern demand engine using AI-native tooling—programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows—that generates qualified pipeline at scale. We don’t buy, we build. - Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn’t work, and doubling down on incremental impact. - Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers. - Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel. WHAT WE’RE LOOKING FOR: - 5+ years building and scaling multiple growth channels at a fast paced startup with a proven track record of revenue growth - Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself. - Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition. - Thrives in ambiguity: You operate independently with urgency and ownership in fast-paced, early-stage environments where processes are still being defined.
Enterprise Solutions Engineer - ANZ
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 As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productise common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating
Finance & Strategy, GTM - Korea
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 a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Key responsibilities - Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials - Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives - Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives - Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations - Establish and implement reporting dashboards and scorecards to track key operational and financial metrics Minimum qualifications - Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models - Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Excitement about working in a fast paced, dynamic environment and adapt well to change - Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines - Strong relationship building, business judgment, process management, and communication skills - Are passionate ab
Data Scientist, Core Data - PhD (2026)
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company. This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions - Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques - Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives - Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously - Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery - Drive data quality, accessibility, and the democratization of data across the organization We’d love to hear from you if you have: - PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning - Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships - Ability to communicate technical concepts clearly to both technical and non-technical audiences - A curious and rigorous mindset, with a passion for translating research into real-world impact While it’s not required, it’s an added plus if you also have: - Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems - An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features - A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments At Figma,
Senior AI Engineering Manager
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... - Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. - Contribute to the development and training of a variety of machine learning models, including large-scale neural networks. - Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. - Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group. - Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. - Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects. - Mentor team members, providing guidance and support in their professional development. - Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅ You have... - Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. - Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. - Strong background in training and fine-tuning large models in an applied setting. - Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. - Excellent communication and
AI Deployment Engineer, Codex | Tokyo
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how engineering organizations build software—not simply successful demonstrations or enablement activity. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner directly with engineering leaders and hands-on developers to identify high-value opportunities for Codex and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI-powered software development workflows that improve how engineering teams plan, write, test, review, debug, and deliver software. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, workflow automations, and production accelerators—often using Codex as part of your own development process. - Help customers progress from promising experiments to reliable production workflows, sustained developer adoption, and scaled impact across engineering organizations. - Design systematic approaches for evaluating AI coding systems using representative software engineering tasks, automated graders, production signals, and developer feedback. - Make sound technical decisions across models, agents, tools, developer environments, integrations, reliability, observability, latency, cost, safety, security, and operational readiness. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive technical blockers toward resolution. - Lead technical deep dives, workshops, and hands-on enablement that help engineering teams understand and adopt advanced AI coding workflows effectively and safely. - Gather high-fidelity insights from real-world Codex deployments and translate them into clear product proposals, model feedback, and technical requirements for OpenAI Product, Research, and Engineering teams. - Create reusable architectures, tooling, examples, guides, and technical patterns—including contributions to resources such as the OpenAI Cookbook—that accelerate future Codex deployments. - Influence customer engineering strategy by helping technical leaders understand how AI coding systems can reshape their software development lifecycle, engineering practices, and organizational workflows. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering—not only program, enablement, or stakeholder management. - Are highly proficient in Python and comfortable working across modern software development environments; experience with JavaScript, TypeScript, or another relevant language is valuable. - Are an active user of AI coding tools and have developed a strong point of view on how AI can improve developer productivity and software engineering workflows. - Enjoy building high-signal prototypes, integrations, automations, and production solutions that demonstrate and deliver what AI coding systems can enable. - Understand how to evaluate AI coding systems systematically, including designing representative tasks, automated evaluations, production signals, and mechanisms for incorporating developer feedback. - Have navigated enterprise production requirements such as developer tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, engineering leaders, security teams, product leaders, and executives. - Are comfortable leading technical workshops and hands-on sessions that help engineering organizations adopt new development workflows and technologies. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous and rapidly evolving environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; deep prior experience with OpenAI products is not required. - Are able to speak Japanese and English fluently. 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.
ML Engineer Manager, AI Conversation Platform
Engineering Manager, AI Conversation Platform 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities - Driving an ambitious vision for AI/ML that benefits our users - Setting the technical & process direction for the team based on business goals - Brainstorm and coordinate product integrations with partner teams - Proposing new ideas and building prototypes - Be an integral part of a larger ML community internally & externally - Hire & develop a world-class team to deliver high-quality ML systems. - Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements - Have at least 4 years of experience managing ML teams - Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. - Lead by example in high-growth, high-impact, ambiguous environments - Have experience building & shipping ML systems. - Hold yourself and others to a high bar when working with production systems. - Thrive in a collaborative cross-functional environment Preferred qualifications - Experience in shipping LLM & RAG systems
Safeguards Enforcement Analyst, Radiological & Nuc...
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 an Enforcement Analyst focused on Radiological & Nuclear Harms, you will play a critical role in protecting against the misuse of AI systems for radiological and nuclear harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of radiological and nuclear threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of radiological and nuclear knowledge and enabling technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish this. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities - Enforce Usage Policies with a specific focus on detecting and mitigating potential radiological and nuclear risks. - Take ownership of enforcement monitoring workflows for the radiological and nuclear harm area, improving end-to-end detection, investigation, triage, and escalation processes. - Monitor and analyze platform activity to identify emerging patterns related to radiological and nuclear threats (within the broader CBRNE landscape) that may require policy updates or interventions. - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. - Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. - Proactively surface trends and propose improvements to detection methods and review workflows. - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. - Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. - Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to radiological and nuclear policy violations. Minimum qualifications - Hold an undergraduate degree in a physics- or nuclear-related field (e.g., physics, nuclear engineering, health physics, radiochemistry) and/or relevant professional experience in
Operations Recruiter
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 We’re looking for an Operations Recruiter to join our truly global Talent team at ElevenLabs. This is not a conventional recruiter role — you’ll own the full recruiting lifecycle for key Operations functions that keep our company running and scaling smoothly. You’ll identify, attract, and close exceptional talent across functions such as People, Finance, Legal, IT, and other core operational teams. As an essential partner to business leaders, you’ll help shape role strategies, elevate hiring standards, and drive an outstanding candidate experience from first outreach through offer and onboarding. You’ll be part of a small, high-powered team that’s redefining what great hiring looks like and pushing the boundaries of what’s possible in talent acquisition at a global, high-growth AI company. If you’re energized by collaboration, creative problem-solving, and deep ownership — and if you want to build recruiting systems that scale — this is the role for you. WHAT YOUR DAY MIGHT LOOK LIKE - Full-cycle recruiting for Operations roles — from intake and role scoping to offer and close across functions like People, Finance, Legal, IT, and more. - Partnering closely with hiring leaders to refine requirements, anticipate talent needs, and align on role priorities and success signals. - Managing complex, high-impact searches simultaneously with a strong focu
Executive Communications Manager
Perplexity is revolutionizing how companies get work done. We are seeking a Senior Manager, Executive Communications to join our team and serve as a strategic partner to our leadership. You will architect and amplify the voices of our executives to inspire our rapidly growing team. If you have a passion for shaping culture through communication, thrive in bridging the gap between leadership vision and employee engagement, and want to build a world-class communications function from 0 to 1, this role is for you. RESPONSIBILITIES - Create exceptional and strategic executive communications, including stage speeches, leadership emails, board decks, and other formats that require excellent writing and critical thinking to articulate the company vision and strategy. - Lead Perplexity's next phases of growth, managing complex information flow during high-growth, evolving and owning all-hands presentations, Slack communications, and more. - Develop a unique and authentic voice for our executives and company leaders internally and externally. - Synthesize complex AI-related topics and business strategies into clear narratives internally and externally. - Partner closely with all teams to lead change management communications, translating complex organizational updates into simple and compelling messages. QUALIFICATIONS - 7+ years of experience in executive communications, ideally within a high-growth technology company or leading communication agency. - Proven track record of supporting senior executives and managing complex change management initiatives. - World-class writing, editing, and storytelling skills with the ability to capture different executive tones. - Deep familiarity with the rules with an interest in breaking them. - Attention to detail and the ability to execute quickly in a fast-paced environment. - Extreme comfort working with senior executives, principled confrontation, and inspiring audiences in multiple formats and contexts.
Engineering Manager, AI Conversation Platform
Engineering Manager, AI Conversation Platform 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities - Driving an ambitious vision for AI/ML that benefits our users - Setting the technical & process direction for the team based on business goals - Brainstorm and coordinate product integrations with partner teams - Proposing new ideas and building prototypes - Be an integral part of a larger ML community internally & externally - Hire & develop a world-class team to deliver high-quality ML systems. - Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements - Have at least 4 years of experience managing ML teams - Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. - Lead by example in high-growth, high-impact, ambiguous environments - Have experience building & shipping ML systems. - Hold yourself and others to a high bar when working with production systems. - Thrive in a collaborative cross-functional environment Preferred qualifications - Experience in shipping LLM & RAG systems
AI Solutions Engineer
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. About the Team: People Tech & Analytics (PTA) builds and owns the data, AI, and technology infrastructure for Affirm's People function. The team runs like a product engineering group embedded in HR. We own the full stack: data ingestion, transformation, dashboards, AI tools, and production applications deployed on Snowflake. About the Role: This is a hands-on engineering role. You will build, deploy, and maintain AI-powered systems that serve the People function and the broader employee base. The work is taking messy business problems (fragmented knowledge, manual processes, disconnected tools) and turning them into working software: agents, APIs, applications, and infrastructure. You will work closely with partners across the People function who own domain expertise and stakeholder relationships. Your job is to turn their rough applications and processes into production systems, and to push back when a technical constraint changes what's possible. This is not a pure backend role. You will be in the room when business problems are being scoped, and you need to understand the problem well enough to make architecture decisions on your own. You also need to take what you build and get it running in production. Hosting, security, deployment, and ongoing maintenance are all part of the job. What You'll Do: - Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture, containerization, networking, secrets, CI/CD, monitoring, and fixing what breaks. - Turn messy business requirements from People Operations stakeholders into production systems. Integrate with Workday, Notion, and case management tools so AI surfaces real answers from governed content, not model guesses. - Navigate Affirm's existing security and data governance infrastructure to get AI systems running safely on people data. RBACs, data classification, and access policies already exist, but connecting them across systems (Workday, Snowflake, case tools) is where it gets messy. You figure out what's allowed, build within those constraints, and make sure employee data stays where it's supposed to. - Design reliability infrastructure for multi-model LLM services. Structured output validation, fallback chains, circuit breakers for external APIs, and quality controls that catch hallucination before users see it. - Work directly with non-technical stakeholders to scope problems, make architecture decisions, and give honest assessments of what AI can and can't do. You translate in both directions. - Contribute to the team's shared Python codebase, dbt models, and Snowflake infrastructure as part of a small, full-stack team that ships fast. - Own what you build. When something breaks in production, you diagnose and fix it. What We're Looking For: - Software engineering foundation. You have built, deployed, and maintained production applications. You understand version control (Git/GitHub), CI/CD pipelines, containerization, and what it takes to keep software running, not just written. - Systems thinking and technical architecture. You und
Staff Software Engineer - ML Observability
The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Drive design and implementation of LLM observability features. - Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems - Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit - Develop and extend tools for tracing, evaluating, and debugging LLMs - Influence architecture decisions and mentor engineers to build resilient, high-performance systems - Stay close to customer pain points and use those insights to guide product and engineering priorities - Stay current with industry tr
Data Scientist, B2B Demand Generation, Growth & Me...
Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement About the Role We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently. Our mandate is to build a rigorous, full-funnel view of how B2B marketing creates demand and moves prospects from awareness and engagement to qualified opportunities, closed-won revenue, and expansion. You will shape how we measure marketing impact and influence across channels, campaigns, audiences, and account segments. In this role, you will partner closely with B2B Marketing, Demand Generation, Growth, Sales, RevOps, Finance to connect marketing activity to qualified pipeline, customer acquisition, and efficient revenue growth. What You’ll Do - Define north-star, leading, and guardrail metrics for B2B demand generation, including account engagement, qualified leads and opportunities, sourced and influenced pipeline, conversion rates, pipeline velocity, and incremental ARR. - Design and execute measurement and experimentation strategies across channels and campaigns, using randomized tests, audience or geographic holdouts, lift studies, quasi-experimental methods, and other causal approaches suited to long B2B sales cycles. - Analyze channel, audience, campaign, creative, content, landing-page, and account-segment performance to identify the drivers of qualified demand, funnel conversion, pipeline quality, and incremental revenue. - Partner with Marketing, Sales, RevOps, Finance, Product, and Engineering to improve instrumentation, campaign taxonomy, CRM data quality, lead-to-account matching, and the operating cadence for acting on measurement insights. - Build AI-native measurement and decision-support workflows, using LLMs and agents to synthesize campaign performance, surface growth opportunities, and help marketers act on evidence at scale. What We’re Looking For - 10+ years in a quantitative role such as Data Science, B2B Demand Gen Marketing Science, Growth Analytics, Decision Science, with meaningful experience supporting B2B marketing, demand generation, pipeline growth, or enterprise and SMB go-to-market motions. - Deep expertise in experimentation, causal inference, and applied statistics, including incrementality testing and measurement strategies for multi-touch marketing journeys, limited observability, and long or heterogeneous sales cycles. - Strong technical fluency in SQL and Python, with experience joining and analyzing marketing-platform, web analytics, product, CRM, account, opportunity, and revenue data to produce reliable business insights. - Proven ability to translate analysis into marketing decisions, including channel and audience prioritization, campaign optimization, funnel improvements, budget allocation, forecasting, and go-to-market strategy. - Strong business judgment and a bias toward action. - Strong understanding of B2B funnel mechanics, account-based buying journeys, sales handoffs, lead and opportunity qualification, attribution tradeoffs, instrumentation, and the relationship between marketing investment, pipeline, and revenue. - Excellent communication and cross-functional partnership. You can influence marketers, sales and finance leaders, data scientists, product managers, and engineers with clear recommendations, credible evidence, and transparent tradeoffs. - AI-native mindset and hands-on experience using LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build scalable decision-support workflows. 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.
Account Manager - APAC
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 We're looking for a self-starter, highly energetic Account Manager, who is passionate about voice technology. We don't just sell a product, we're building a community of highly engaged people that want to partner with us for the long term. We love working with our customers to support and guide them through their voice AI journey with a focus on ultimately driving long term value for them. Our Account Management team is at the forefront of this. In this role you will: - Be part of an early Account Management team with endless opportunities for impact. You'll partner with the team to help develop a scalable account management playbook and framework that supports our customers in the APAC region. - Build and maintain strong relationships with a book of commercial and enterprise clients in the APAC region — you'll specifically be managing customers across Southeast Asia and North Asia. - Play a key role in driving long term adoption of multiple products. - Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion. - Own expansion and renewal of accounts within your book of business. - Measure and improve customer satisfaction & experience. - Own your account management KPIs (NRR/GRR) and track against the company goals. Requirements - 3-7 years of previous experience in Account Management or Customer
Staff+ Software Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: - Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight - Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them - Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic - Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain - Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identity and secrets management - Architect systems that protect sensitive assets including model weights, customer data, and training datasets - Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments Infrastructure security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation Secure frameworks - Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves - Partner with product, research, infrastructure, and other security teams to ensure framewo
Head of APAC 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 an APAC Accounting Lead to build and run our regional Corporate Accounting function. This is the senior Controllership role for Asia Pacific, owning end-to-end accounting and finance operations for all APAC legal entities across Statutory Accounting and External Reporting, International Payroll, Procure to Pay, and regional Finance Systems. Reporting to the Head of International Accounting in Dublin, you will set the multi-year strategy for how we scale our financial control environment across the region, build and lead the team that delivers it, and act as the senior finance point of contact for APAC entity boards, external auditors, and outsourced service providers. This is a rare opportunity to define how a frontier AI company runs Controllership across one of its fastest-growing regions, with a mandate to use Claude and AI tooling to reimagine how regional accounting work gets done. The successful candidate will be comfortable operating as a hands-on regional controller in the near term while designing the organisation, processes, and systems required to support a rapidly expanding entity footprint. Responsibilities Regional Controllership and Operations - - Own the APAC Corporate Accounting function end to end and be accountable for the accuracy, timeliness, and control of all regional financial reporting - Own statutory financial statements, local audits, board reporting, and corporate secretarial filings for all APAC legal entities, acting as the primary relationship owner for external auditors - Be accountable for the APAC month-end close and consolidation into the global group, including journals, intercompany, reconciliations, and flux review - Own regional execution of the intercompany and transfer pricing operating model in partnership with global Tax - Own regional delivery of International Payroll and Procure to Pay in partnership with the global functional leads, and own the associated regional control framework - Own regional regulatory and statistical reporting obligations, acting as the regional finance point of contact for local statutory authorities in partnership with Legal and Compliance Team Building and Leadership - - Build, lead, and develop a high-performing regional accounting and finance operations team across multiple APAC locations - Define the regional organisation design and hiring plan as the entity footprint grows, and own the business case for incremental headcount - Manage the regional outsourced accounting, payroll, and Procure to Pay provider relationships, including the transition path between outsourced and in-house delivery Systems, Controls, and AI - - Partner with global Finance Systems on the regional deployment and continuous improvement of the core finance platform stack, owning regional requirements,
Machine Learning Engineer, Payment Intelligence
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 Payment Intelligence ML Engineering (PIME) optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our customers, maximizing successful transactions while minimizing payment costs and fraud. We leverage ML to serve real-time predictions as part of Stripe’s payment infrastructure and risk controls. We own products like Radar , Adaptive Acceptance , and Identity end-to-end, operating lightning fast world-scale services and cutting-edge ML models. What you’ll do We are looking for Machine Learning Engineers to own the end-to-end lifecycle of applied ML model development and deployment in service of consumer facing products like Radar , Adaptive Acceptance , and Identity . You will work closely with software engineers, machine learning engineers (MLE), data scientists (DS), and ML platform infrastructure teams to design, build, deploy, and operate Stripe’s ML-powered payment decisioning systems, including improving existing ML models and developing new ML solutions. Responsibilities - Design and deploy new models using tools (such as Spark, Presto, XGBoost, Tensorflow, PyTorch) and iteratively improve verification and fraud models to protect millions of users from fraud - Envision and develop new models for fraud detection i.e work with large payment datasets to find creative new methods of detecting and deterring fraudulent behavior. - Propose new feature ideas and design real-time data pipelines to incorporate them into our models. - Integrate new signals into ML pipelines, derive new ML features, and build workflows to make this process fast - Integrate new models and behaviors into Stripe’s core payment flow - Collaborate and execute projects cross-functionally with the data science, product management, infrastructure, and risk teams - Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, and scalability - Mentor engineers earlier in their technical careers to help them grow - Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - Over 3+ years industry experience building machine learning applications in large scale distributed systems. - 2+ year of experience working within a team responsible for deve
Staff+ Software Engineer, Caching
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities - Drive the technical direction for caching infrastructure used across Product and Research - Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem - Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers - Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases - Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments - Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths - Build observability and tooling that makes cache behavior easy to understand and debug - Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work - Make build-vs-buy decisions for caching technologies Minimum qualifications - Significant experience as a software engineer building and operating production distributed systems - Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes - Experience operating Redis, Memcached, or similar in-memory data stores in production - Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred qualifications - 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams - Experience building managed infrastructure platforms or internal services consumed by many engineering teams - Experience with change data capture (Debezium or similar) or streaming data infrastructure - Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale - Experience designing client libraries or SDKs fo
Product Designer, AI Models
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an AI Model Designer to join our team and become the bridge connecting our AI research innovations with world-class design principles. In this unique role, you'll help us teach our models how to be better copilots for designers. You'll work across all our products to improve our AI models' design capabilities and oversee evaluation quality. This is an exciting opportunity to shape the future of design. As an arbiter of craft and taste, you’ll help raise the ceiling for what designers can create with AI and shape the future of design tools. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Collaborate closely with AI researchers to improve model performance from a design perspective - Develop and document design principles and heuristics that can be used by our AI systems - Build thorough methods to test and enhance the quality of AI-generated outputs - Oversee the quality of our design evaluations and give guidance to external partners - Be the bridge between the AI research team and designers, translating technical details for designers and design concepts for AI experts We’d love to hear from you if you have: - Experience developing design heuristics and design principles - Experience leading design efforts for a suite of products or working on features that span multiple product lines - Experience using AI models for design tasks, either coding or image models - Proven track record in managing complex projects that involve collaboration across different teams and organizational boundaries - Experience managing contractors and multiple projects on tight timelines - Strong design background with excellent taste and attention to detail While it’s not required, it’s an added plus if you also have: - Background in creating or evaluating AI-generated designs - Operational mindset with ability to improve processes - Technical understanding of AI/ML concepts and how they apply to design - Comfort navigating ambiguity and shaping open-ended challenges into clear goals - Strong communication skills for explaining complex concepts to both technical and non-technical stakeholders At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hu
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