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Analytics Manager, Full Stack
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. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems. What you'll do - Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals. - Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies - Report on fraud trends and loss drivers to cross functional partners and senior management - Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner - Work together with our operations team to help limit losses and ensure optimal review volumes - Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities - Assist with team planning and goal setting as well as coaching and mentorship of more junior team members What we look for - 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics. - Product knowledge - Passion to understand how the product works and how to change it to make it more effective - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity - Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues. - Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis - Communication - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences - Multi-tasking - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics - Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development. - Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired &
Customer Success Engineer
About the Team The Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology. About the Role We are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organizational and process improvements. Key Responsibilities - Become one of the foremost technical experts for our API and product offerings at Perplexity AI. - Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms. - Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed. - Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations. - Build strong relationships with customer leaders and operators to ensure the success of their applications. Essential Qualifications - 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation. - Excellent proficiency in Python/NodeJS and developing scalable applications. - Good knowledge of a Cloud Service Provider (e.g. AWS) platform. - Hands-on experience in using Agentic Coding (Claude Code, Codex etc.). - Bachelor’s degree in Computer Science or a related field. - Proven ability to identify technical pain points in both our solutions and our customers’ implementations. Would be nice to have - Strong track record of building relationships with customers and cross-functional teams to drive performance improvements. - Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success. - Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritize effectively. - Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape. - Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases.
Executive Director, Asset Project Leadership
Your work will change lives. Including your own. The Impact You’ll Make At Recursion, our mission is to industrialize and transform the development of medicines by integrating data-driven insights and advanced analytics throughout the entire development lifecycle. As Executive Director, Asset Project Leadership, you will play a pivotal role ensuring advanced computational approaches and proprietary Recursion advantages are leveraged across the portfolio continuum, redefining traditional paradigms of drug development. As an asset project leader, you will work closely with functional lines to help craft, optimize and execute asset strategy, leveraging Recursion OS and Clin.Tech. insights to enhance program rigor and ultimately patient benefit. You will partner with preclinical, clinical and platform teams, promoting communication, alignment and optimization of functional processes to ensure delivery of portfolio goals & transformative medicines for patients. In this role, you will: - Collaborate with functional leads across the portfolio to ensure seamless alignment, communication and execution of data-driven strategy from preclinical discovery through clinical development - Drive and enable a culture of accountability, ownership and innovation aimed at delivering prioritized medicines to patient populations in need. - Partner with key stakeholders including finance and functional line leadership to ensure project resourcing is strategically prioritized and deployed for the most impactful programs & work streams. - Establish and refine processes that maximally leverage Recursion OS and ClinTech insights for advancement of the internal/external drug discovery and development portfolios - Propagate the Recursion mindset of radically changing lives by constantly seeking transformative improvements in how we advance innovative concepts for clinical benefit. The Team You’ll Join As Executive Director, Asset Project Leadership, you will work within the Development team, reporting directly to the Global Head, Project Leadership. The Development Team is an empowered, execution-minded group of clinical development professionals responsible for translating and industrializing Recursion’s innovative science to patients. Our team leverages cutting-edge clinical technology to accelerate drug development, optimize trial design, and enhance patient outcomes. From deploying AI-powered platforms for data analysis and predictive modeling to integrating real-world evidence and biomarker discovery tools, we ensure our clinical programs are both efficient and precise. The Experience You’ll Need - A PhD in life sciences or related scientific discipline with deep expertise in drug discovery & development - 10+ years of biotech/pharmaceutical industry experience with a proven track record of scientific asset project leadership, progressing drug discovery/development programs through stage-gates using data-driven decision making. - Expertise in cross-functional drug development and in-depth experience leveraging computational approaches to optimize assets. - Deep technical expertise in oncology, s
Operations Sourcing Manager, Data Center
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 You’ll run the broad sourcing operations that keep Anthropic’s global data center footprint moving, working across the full range of categories that make up our infrastructure: compute, networking, racks, mechanical, cabling, and the supplier ecosystem that delivers them. You’ll be the operations owner who makes sure the right hardware lands at the right site at the right time, on terms that hold up across programs. You’ll work day-to-day with Anthropic engineering, our data center operator partners, OEMs, ODMs, integrators, and service providers. You’ll be the connective tissue across categories, negotiating commercial terms, managing supplier performance, and optimizing for lead time, cost, and on-time delivery against an aggressive deployment roadmap. In any given week you might be supporting NPI BOM’s, expediting constrained components, chasing down a lead-time slip across suppliers, running a competitive process for a new platform, developing supplier scorecards, negotiating supply agreements, or partnering with engineering to keep an in-flight program on track. You’ll partner closely with Claude throughout, including supplier benchmarking, contract analysis, scenario modeling, and drafting clean negotiation records. Responsibilities - Run end-to-end sourcing operations across data center hardware categories (compute, networking, racks, mechanical, cabling), from supplier engagement and competitive process through contracts and ongoing supplier performance management. - Own the operational rhythm with suppliers: supplier scorecards, capturing capacity and quarterly business reviews. - Negotiate commercial terms across categories and keep them aligned with our deployment plans, with a bias toward execution and on-time delivery. - Triage supplier issues across programs, drive trade-off decisions with engineering, finance, and deploy operations, and keep stakeholders aligned through ambiguity. - Build Claude-powered workflows that the sourcing team and partners adopt for benchmarking, request for quotes, contract analysis, and reporting. - Produce the deal memos, supplier business reviews, and operational readouts that engineering and ops leadership rely on to keep programs on track. You may be a good fit if you: - Have 7+ years of experience in sourcing, procurement, or supply chain operations, with a track record across multiple hardware categories rather than depth in just one. - Are operationally rigorous: comfortable owning supplier performance, lead-time discipline, and fulfillment escalations as a regular part of the job. - Can move from a compute supply negotiation to a networking RFx to a mechanical components contract without losing rigor. - Operate effectively under ambiguity and bring structure to undefined problems. - Influence cross-functional partners and align them around shared standards, even without direct authority. - Communicate clearly in writing and produce artifacts senior stakeholders can act on without follow-up. - Have a bachelor’s degree in a relevant field or equivalent p
Researcher, Education Labs
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 believe that learning is fundamental to human agency. Education Labs studies how people learn and build capability with AI, and we close the loop between what we discover and learning tools the world can access. As our first dedicated education researcher, you will strengthen how the team measures learning and AI fluency so our experiments produce trustworthy evidence. You will design the instruments, build the tools, run the studies, and translate findings into changes across our product experiments and action research in real learning settings. You operate at the frontier where the right measures often do not exist yet and have to be built. This is a hands-on research role embedded in a small team. You will publish and influence thinking across Anthropic, and you will also help decide what is working well enough to scale, what should be handed off to another team, and what should be spun down. We care about learning experiences that make people progressively more capable, curious, and empowered over time. Responsibilities - Design and run mixed-methods studies on how people develop real skill with AI, measuring success by capability growth rather than engagement. - Build and validate the instruments, measures, and evaluation methods the team relies on, so that findings hold up to scrutiny and can be trusted by research, product and policy partners. - Translate research insights into shipped product, curriculum, and model-level improvements through close collaboration with engineers, designers, and researchers. - Generate net-new insights about how AI is reshaping learning, and how communities and organizations can organize to learn alongside it. - Communicate your work through clear writing, prototypes, and presentations that shape thinking across the organization. - Create tools using code and software to collect validated metrics at scale. You may be a good fit if you have - A research background in learning sciences, education, cognitive science, HCI, educational psychology, or a closely related field, whether formal or self-directed. - Strong mixed-methods skills: experimental design, measurement and psychometrics, qualitative methods, and the judgment to choose the right approach for the question. - Hands-on technical skill in Python, data analysis, and working with LLMs, enough to run your own analyses and prototype new measures. - Comfort deriving insight from imperfect, dynamically changing data, and comfort making research decisions with incomplete information while holding a high bar. - Comfort with ambiguity and undefined problem spaces, plus a bias toward rapid, iterative inquiry and quick learning loops. - Clear communication and a track record of cross-functional collaboration with product, design, engineering, and research partners. <li
Support Engineer, AI Infrastructure
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 evolving the Product Support experience, powered by AI, automation, and integrated systems. The AI Infrastructure & Tooling team helps make that possible by building intelligent, resilient, and integrated solutions that automate workflows, connect systems, and streamline support operations. As a Support Engineer, AI Infrastructure on this team, you'll be the technical execution layer that brings our support tools, customer and account context, internal systems, and AI workflows together. You'll design, build, and operationalize integrations across systems like Decagon, Zendesk, Figma admin tooling, and adjacent Product Support platforms. Your work will help us bring the right context into customer conversations, automate complex workflows, and optimize both the customer and Specialist experience by applying AI where it can meaningfully improve support workflows, quality, and efficiency. This role is ideal for someone who can move from ambiguous support problems to working technical solutions: understanding the workflow, identifying the systems involved, building the integration or automation, validating the data flow, and measuring the impact on customer outcomes and Specialist efficiency. 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: - Build and operationalize AI-powered workflows that improve Product Support experiences for customers and internal support teams - Design and maintain integrations across Decagon, Zendesk, Figma admin tooling, internal data sources, and adjacent Product Support platforms - Bring relevant customer, account, product, billing, file, or admin metadata into support conversations so chatbots and Specialists have the context they need to resolve issues more effectively - Use LLMs and AI patterns for classification, summarization, routing, recommendations, context enrichment, and workflow automation - Partner with Engineering, Analytics, Security, Programs, Support, and vendor teams to align on requirements, implementation, governance, and rollout - Build quality checks, monitoring, fallback paths, and operational guardrails so AI-powered workflows can be trusted in production - Define success metrics for each workflow, track adoption and impact, and iterate based on customer outcomes, Specialist efficiency, and adoption We’d l
Design Engineer, Web
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. The Creative Studio is Anthropic's in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. We're looking for a senior Design Engineer to join our Brand Web team, working at the intersection of design and engineering to shape how Anthropic's web properties get built. In this role, you'll own significant surfaces of anthropic.com and claude.com — from interactive marketing pages and data visualization systems to the internal tooling that keeps our content operations running at scale. You'll work as a peer to designers, engineers, and brand and content teams across the company, setting technical direction on the work you lead and partnering with platform and product engineering teams on the infrastructure that underpins it. We're actively growing the engineering function on the Web team, and you'll help shape how it operates as it scales. Rapid prototyping is core to how we work, and you'll be expected to move from concept to production with both speed and craft. Responsibilities - Own the architecture and implementation of significant surfaces of claude.com and/or anthropic.com , including design system code, page templates, interactive experiences, and data visualization systems. Set the technical direction, not just deliver against it. - Lead the technical side of major web initiatives end-to-end, such as migrations, redesigns, and new product surfaces, including scoping, architecture decisions, partner coordination, and shipping. - Define and evolve our headless CMS architecture, including content modeling, structured data workflows, editorial governance in code, and the systems that make the CMS usable by non-engineers across the company. - Build creative tooling and internal systems that change how the team works: Claude-powered design system tools, page generators, content workflows, and MCP integrations. This is where the team's leverage compounds, and we expect this role to actively grow it. - Partner directly with Web Platforms, Security, and Growth Product Engineering on the surfaces that span teams: deployments, performance, technical SEO, experimentation infrastructure, and incident response. Be the technical owner those teams partner with on our behalf. - Make and document architecture and technical standards decisions: framework choices, performance budgets, accessibility implementation, code quality, and frontend infrastructure. Raise the bar on craft for engineers across the team. - Build and evolve the localization infrastructure that supports our growing international presence, including content modeling for translation workflows, integration with translation vendors, and the patterns that make localized pages performant and maintainable across markets. - Mentor mid-level engineers and contribute to hiring. As the team grows, this role should be one of the technical leaders shaping how we work. You may be a good fit if you - Have deep experience building and shipping production web properties at scale, including ownership of architecture decisions and the consequences of them in production. - Are expe
Member of Technical Staff (Software Engineer, Agen...
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future. Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations. WHAT YOU’LL DO - Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach. - Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways. - Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale. - Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements. - Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer. QUALIFICATIONS - 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus. - Daily use of AI models/tools, with strong knowledge on the latest frontier. - Proficiency with Python, along with experience and/or TypeScript, Go, and other languages. - Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users. - Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.) - Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
Channel Account Manager, SI & Reseller
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 Channel Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Channel Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Responsibilities: Strategic Partner Management - Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets - Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes - Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs - Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events - Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development & Revenue Generation - Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue - Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) - Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning - Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy -
Senior Backend Engineer, AI Platform
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. Online Infrastructure What We Do Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems. Our AI Platform team is building an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not deploying off-the-shelf tools — we're building production systems from the ground up, across six interconnected platforms:\ - Geppetto — multi-tenant platform for team AI agents that live and collaborate in Slack channels - EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale - Hodor — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration (1,500+ MAU, 700K+ tool executions) - Multipass — agent identity, credential vault, and authorization for non-human workloads - Vektor — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization - Roost — cryptographically signed software distribution and the Claude Code plugin marketplace This is foundational work with real production usage and real consequences. The stack is live, growing, and touching every corner of Epic's engineering organization. What You'll Do As a Senior Engineer on the AI Platform team, you'll be a primary contributor and technical owner across one or more of the platforms in our agent stack. You'll take complex, loosely-defined problems — a new plugin runtime, an agent compute provider, a memory ingestion pipeline — and drive them from design to production with limited oversight. You'll work closely with the team's principal engineer and technical lead to make sure your implementations are consistent with the broader architecture, and you'll be the person others turn to when the work gets technically hard. This role is for an engineer who wants to go deep. The problems span distributed systems, security, LLM integration, and developer tooling — and the surface area is large enough that you'll have genuine ownership, not just ticket work. In this role, you will - Own the design and implementation of major features and subsystems across the AI Platform stack — from Hodor's plugin runtimes and credential manager to Geppetto's agent-service LLM dispatch and session lifecycle - Build and harden EMA's worker layer: workspace materialization, harness lifecycle management, normalized event streaming, and mid-run input handling across compute backends - Implement production-grade components for Vektor's memory pipeline — ingestion workers, knowledge graph writes, semantic search, and nightly co
LLM Game Designer
LLM Game Designer at welevel GmbH. German games industry role. Company category: Developer. Job category: Game / Level Design. Job type: Full-Time. Added: 06.06.2026.
Staff+ Software Engineer, Vertical AI Products (Mu...
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 Verticals team builds AI products purpose-built for specific industries — financial services, science, healthcare, and the broader enterprise. Most of these teams are being built 0→1 right now: you'll be shaping the product and the architecture in markets where no one has done this well yet. Where we're further along, products are already live with enterprise customers and growing fast. We're hiring Staff+ Software Engineers to build the products that bring Claude into financial services, science, healthcare, and enterprise AI workflows. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. We're hiring across all of these areas through this posting. Team placement happens during the interview process based on your background, interests, and organizational need — if you have deep experience in one of these domains, let us know in your application. About the teams Claude for Financial Services — Builds products for customers in investment banking, asset management, insurance, and corporate finance. Near-term work centers on deeply integrated experiences inside the tools these teams already use, with a roadmap expanding as we learn what's most useful. The team operates close to enterprise customers and close to research. Claude Science — We just launched Claude Science , an AI workbench for scientists that brings fragmented research tools into a single environment. The product is live and expanding fast; you'll help drive engineering through that growth. Claude for Healthcare — We're building for the entire industry — payers, providers, pharma, and beyond — with a simple long-term measure of success: people living longer, healthier lives because the system around them works better. You'll shape the product and the architecture from the ground up. Enterprise AI Products — Building what makes Claude a daily-use tool for enterprise customers across industries: plugins, skills, and shared organizational context — the connective tissue that lets Claude operate across an organization's workflows — plus the foundational systems large organizations require to deploy AI at scale, like user and permissions management, security and compliance features, and analytics infrastructure. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. What you'll do - Own technical design and delivery for a core piece of one of these vertical or enterprise products, end-to-end across the stack - Work closely with research to make the models better in your domain — shaping evals, surfacing failure modes, and feeding customer learnings back into model development - Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped pro
Staff+ Application Security Engineer - M&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 Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities - Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning - Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems - Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration - Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them - Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process - Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work - Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications - H
Senior Software Engineer, Public Sector
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: - Create multi-layered guardrails around agents - Optimize data retrieval for agents - Orchestrate fleets of asynchronous agents - Automatically alerts users to deviations in data - Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. - Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. - Direct the orchestration of asynchronous agent fleets to meet mission requirements. - Lead customer engagements to translate mission needs into technical requirements. - Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. - Conduct technical reviews and identify risks within machine learning infrastructure and model serving. - Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: - Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering &l
Product Strategy and Corporate Development Lead, A...
Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog's Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company's interests. 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: - Support Datadog's AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. - Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem through meetups, conferences, and events. - Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. - Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog's AI roadmap. - Support negotiation processes, including term sheets and partnership structures, and collaborate on integration planning with cross-functional partners after deals close. - Help attract early-stage AI companies into Datadog's startup program. Who You Are: - Demonstrated technical knowledge through past experience (software engineering, product management, VC, etc.) or a degree in Computer Science (or equivalent). - Some experience with financial modeling, forecasting, or analysis (willingness to learn; we can teach you). - Excited about building and maintaining a strong network across founders, VCs, and the broader AI ecosystem. - Self-starter who thrives in fast-paced, ambiguous, and technically challenging environments. - Excellent prioritization and ability to operate across multiple complex stakeholders and projects. - Strong communication skills and enthusiasm for developing negotiation capabilities. Datadog values diverse experiences. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We strongly encourage candidates from underrepresented groups to apply. Benefits and Growth: - Best-in-breed onboarding - Generous global benefits - Intra-departmental mentor and buddy program for in-house networking - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development,
GTM Enablement - Expansion
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 hiring our first GTM Enablement – Expansion to build the foundation of how ElevenLabs enables its global revenue teams to drive adoption, expansion, and retention. This is a 0-to-1 builder role. You will define the strategy, build the infrastructure, and execute hands-on as we scale. What sets this role apart: we're looking for someone with a technical foundation and deep understanding of the post-sale motion. You've been in the room for complex customer implementations, usage reviews, and cross-sell negotiations. You know how to navigate and enable sellers to find new buyers across a multi-product enterprise platform. You understand what it takes for a revenue team to drive cross-product adoption and identify and close expansion opportunities, because you've been that person. This role sits within GTM Enablement and reports to the GTM Enablement Lead, North America. You will work in close partnership with: - Account Management leads, North America and International (owning customer expansion) - Revenue leadership (owning commercial strategy) - Product and Product Marketing (owning roadmap, messaging, and use case development) You will support a global team of AMs and AEs across North America, EMEA, LATAM, and APAC. While expansion enablement is your primary focus, you'll also support GTM Enablement across SDR and new business motions as ne
Data Scientist, Global Growth
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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at Stripe, our mission is to ensure that company strategy, products, and user interactions make smart use of our rich data using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. 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 - Bachelors + 8 years or Masters + 6 years or Phd + 3 years of data science or quantitative modeling experience - Proficiency in SQL and a computing language such as Python or R - Experience in working with cross-functional teams to deliver results - Ability to communicate results clearly and a focus on driving impact - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail - Strong business acumen and experience in synthesizing complex analyses into actionable recommendations - Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications - Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation - Experience deploying models in production and adjusting model thresholds to improve performa
Sales Development - 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 Sales Development Representative (SDR) based in Australia, at ElevenLabs you will play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market. - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends. - Continuously refine and adjust outreach strategies based on the feedback loop. - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness. - Collaborate with the sales leadership to analyze data and optimize strategies for better results. REQUIREMENTS - 2-3 years outbound B2B sales experience with a track record of securing new business meetings. - Demonstrated ability to build Opportuni
GTM Strategic Initiatives Lead
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. POSITION OVERVIEW The GTM Strategic Initiatives Lead designs and runs the operating system that helps Sales execute consistently and scale efficiently. With Sales as the primary “end customer,” this role turns GTM strategy into durable initiatives, enablement, process, and tooling that improve rep productivity, pipeline conversion, forecasting accuracy, and retention/expansion outcomes. This role serves as the cross-functional program owner across Sales, RevOps, Marketing, Finance, Product, and Engineering—building repeatable motions (e.g., new product launches, packaging/pricing rollouts, territory and coverage changes) and the change-management backbone that makes them land in the field. Success looks like: clear decisions, tight execution, measurable adoption, and sustained performance improvements. CORE PILLARS OF RESPONSIBILITY 1) GTM PROGRAM MANAGEMENT (END-TO-END OWNERSHIP) - Own the end-to-end program lifecycle for strategic GTM initiatives: define the problem, align stakeholders, build the plan, run execution, measure impact, and operationalize what works. - Translate leadership priorities (e.g., new segments, new products, new channels, pricing/packaging changes) into sequenced program roadmaps with milestones, owners, risks, and decision points. - Establish a standardized launch framework for Sales-facing initiatives (readiness, enablement, comms, instrumentation, and post-launch review). 2) SALES-FIRST OPERATING RHYTHM & FIELD ENABLEMENT - Build and maintain a cross-functional operating cadence that keeps the field aligned: GTM planning rituals, initiative reviews, launch readiness checkpoints, and decision-making forums. - Partner with Sales Enablement and frontline leaders to convert strategy into field-ready artifacts: plays, talk tracks, qualification and discovery frameworks, battlecards, objection handling, and deal desk workflows. - Create adoption loops: define what “good” looks like, monitor usage, capture feedback from the field, and iterate quickly. 3) GTM STRATEGY EXECUTION, LAUNCH READINESS, AND FEEDBACK LOOPS - Translate GTM strategy into clear “plays” and execution plans that span product, marketing, and sales—connecting positioning, packaging/pricing, and routes-to-market into one coherent motion. - Partner with Product, Marketing, and Customer Success to ensure launches are field-ready: messaging, enablement, asset readiness, rollout sequencing, and support coverage. - Build closed-loop feedback mechanisms from the field and customers back into roadmap and go-to-market iteration (win/loss insights, qualitative field feedback, adoption signals). 4) INITIATIVE IMPACT MEASUREMENT - Create measurement frameworks
GTM 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 $22B - 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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs is building one of the world's fastest-growing AI companies - and we're looking for a GTM Recruiter to partner with our Revenue org. You'll run full-cycle recruiting across our high volumes roles, partnering with leaders across our Sales Development, Corporate, Mid-Market, and Partnerships team to hire world class talent. This isn't a conventional recruiting role. You'll work alongside GTM leaders to shape role strategy, design world class candidate experiences, and close exceptional talent across North America. You know what great looks like in a Revenue org - whether from building GTM teams at exceptional tech companies or from your own experience exceeding hiring goals. This role is centered around high ownership, making data driven decisions, and building hiring processes and pipelines that scale. What your day might look like - Full-cycle recruiting for a broad range of GTM roles including Sales Development Representatives, Account Executives, and Revenue Partnerships. - Partnering closely with GTM leadership to refine role requirements, set hiring strategy, and identify key success signals that elevate quality of hire. - Designing and managing candidate pipelines with a focus on efficiency, transparency, and a white glove, high touch experience. - Acting as a trusted advisor to hiring teams, providing market insights, role benchmarks, and data-driven recommendations. - Representing ElevenLabs externally - every interaction with candidates is an opportunity to bring our brand and values to life. Requirements - Full-cycle GTM recruiting experience for a high growth startup, with a strong track record closing quota-carrying roles across Sales roles. - Able to manage high volume and complex searches across multiple priorities without sacrificing quality or urgency. - Strong partner to hiring leaders - you influence with clarity, data, and operational rigor. - Exceptional communicator - you craft compelling role narratives and deliver a high-touch experience for candidates and stakeholders alike. - Preference for this role to be based in New York City. Location This role is remote-first, so it can be executed from anywhere, with candidates based in New York City strongly preferred. If you prefer, you can work from our New York office. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Senior AI Engineer | Canada | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Servic
Product Manager (Builder)
PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Sales Development - DACH
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 Our Sales Development team play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends - Continuously refine and adjust outreach strategies based on the feedback loop - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness - Collaborate with the sales leadership to analyze data and optimize strategies for better results REQUIREMENTS - 2–3+ years of outbound B2B sales experience, with a strong track record of securing net-new business meetings - Proven ability to build and qualify opportunity-sized lead lists in new markets and verti
Senior Site Reliability Engineer, Core AI Infrastr...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Site Reliability Engineer, AI Transformation You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Site Reliability Engineer on the IT Operations team. This team builds and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: - Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros. - Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments. - Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines. - Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence. - Develop full-stack applications that power internal AI products and infrastructure with Go or Python. Required Skills and Experience: - 5+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools (Terraform, Ansible, Chef, Puppet, or Salt). - Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments. - Proficiency in at least one scripting or programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines. - Track record of leading incident response in environments with strict SLAs, including root cause analysis, blameless retros, and measurable reliability improvements. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental,
Analytics Manager, Full Stack (Fraud Analytics)
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. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems. What you'll do - Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals. - Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies - Report on fraud trends and loss drivers to cross functional partners and senior management - Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner - Work together with our operations team to help limit losses and ensure optimal review volumes - Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities - Assist with team planning and goal setting as well as coaching and mentorship of more junior team members What we look for - 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics. - Product knowledge - Passion to understand how the product works and how to change it to make it more effective - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity - Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues. - Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis - Communication - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences - Multi-tasking - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics - Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development. - Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired &
Senior Staff Machine Learning Engineer, Notificati...
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 . The Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app). We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer. Redditors produce the most amazing content about every niche topic in the world. Leveraging machine learning and large-scale system development, we process hundreds of millions of posts and user activities to provide personalized recommendations for tens of millions of users. As a Senior Staff, you will design and build a large-scale system that powers end-to-end recommendation systems at scale. You’ll work across multiple areas of the stack, including budget optimization, retrieval, ranking, features, measurement, LLM-based answers, etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Notifications push the boundary on state of the art. What You’ll Do - Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience. - Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team. - Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. - Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization. - Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges. - Mentor and guide senior and staff engineers in the team. - Partner closely with senior leadership and cross-functional org leads to shape long-term roadmaps, balancing immediate operational wins with strategic technical objectives. Who You Are - 10+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred. - Proven
Field Marketing Manager
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 high-energy, results-driven Field Marketing Managers to own and scale our field marketing strategy across North America in various customer and partner segments - Startups, Enterprise, Partners, etc. In this role, you will be the driving force behind regional events and programs that build pipelines and accelerate revenue through in-person and virtual experiences. We are seeking self-starters who thrive in a fast-paced environment, can operate independently with minimal oversight, and have a proven track record of building and executing impactful field programs that move the needle for sales. You will be responsible for the full program lifecycle — from strategy and sales alignment through execution and pipeline attribution. Key responsibilities Field Event Strategy & Execution - Own the end-to-end strategy, planning, and execution of field events across North America — including executive dinners, roundtables, workshops, regional conferences, and roadshows - Build and manage a regional field marketing calendar in close coordination with sales leadership and demand generation - Identify and prioritize the markets, accounts, and formats that will have the greatest impact on pipeline and deal acceleration - Manage sponsorships, venue relationships, speakers, and third-party event investments end to end Pipeline Generation & Accountability - Drive measurable pipeline and revenue impact from every program — own pipeline targets tied to field marketing in North America - Develop pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-up - Work hand-in-hand with sales and BDR teams to build targeted invite lists and ensure strong attendance from priority accounts - Track and report on program ROI, pipeline sourced and influenced, and attendee engagement metrics Cross-Functional Collaboration - Serve as the primary field marketing point of contact for North America sales leadership, ensuring programs align with territory plans and revenue goals - Coordinate with demand generation, content, product marketing, and brand teams to create compelling event collateral, messaging, and follow-up assets - Bring field insights back to the broader marketing team to inform campaign strategy and messaging Operational Excellence - Manage field marketing budgets with a bias toward efficiency and measurable outcomes - Maintain project plans, timelines, vendor relationships, and logistics with high attention to detail - Build scalable, repeatable playbooks for field programs that can be replicated across regions and segments Minimum qualifications - A proven track record of driving pipeline through field programs — you think in terms of pipeline an
Software Engineer, Data Infrastructure
Scale AI is seeking a highly skilled and motivated Software Engineer to join our dynamic Public Sector Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. The Role - We are looking for an exceptional Senior Software Engineer to architect and build the foundational data infrastructure that will serve as the brain of a project ecosystem. - We are not looking for someone to stitch together off-the-shelf data frameworks. You will be responsible for designing highly novel data models and processing pipelines capable of handling massive quantities of output data from complex simulations. - At the core of this role is the challenge of building a foundational data ensemble —a unified architecture that seamlessly aggregates, structures, and stages diverse sources of simulation outputs and user inputs. Your systems will manage enormous batch throughput jobs with strict, minimal latency requirements, ensuring that downstream AI systems and language models have the exact context they need to actionably reason over complex, multi-dimensional scenarios. Key Responsibilities - Architect the Data Ensemble: Design and implement the architecture to ensemble various sources of injected context (deeply structural simulation data, historical game states, and dynamic user inputs) into a unified, highly queryable format optimized for LLM consumption. - Massive Batch Infrastructure: Build highly scalable, resilient data architectures from scratch. You will optimize for moving, transforming, and processing massive quantities of simulation output data via enormous batch jobs, maintaining the minimal latency required for rapid wargame iterations. - Complex Data Modeling: Design sophisticated, highly relational data models that accurately represent massive, state-based simulation environments, making them easily interpretable by machine learning models. - First-Principles Problem Solving: Navigate highly ambiguous product requirements to design custom, ground-up systems where existing open-source or enterprise tools simply cannot handle the structural complexity or scale. - Technical Leadership: Set the technical standard for the data infrastructure team, driving rigorous code quality, system performance, and architectural clarity. What We’re Looking For - Experience: 5+ years of backend or data infrastructure experience, operating at a Senior, Staff, or Principal level. - Engineering Excellence: Deep, expert-level proficiency in systems languages (e.g., Rust, Go, C++, or highly optimized Python/Java, Spark, PySpark) and a fundamental understanding of memory management, compute limits, and distributed systems architecture. - High-Throughput / Low-Latency Data: Proven track record of processing massive datasets. You understand how to optimize massive batch jobs and parallel processing across distributed simulation nodes without sacrificing speed.&l
Deployment Strategist Lead - Australia
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 Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximis
Member of Technical Staff - Product (Growth)
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary https://modal.com/gpu-glossary and LLM Engine Advisor https://modal.com/llm-almanac/advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. IN THIS ROLE YOU WILL: - Own and evolve Modal's marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content. - Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents. - Own Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation. - Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable. REQUIREMENTS: - Evidence of building and shipping modern web applications end-to-end. We care more about what you've built than years of experience. - Experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal. - You can build polished, responsive web experiences without needing every detail specified. - Business-owner mindset with strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement and tradeoff inherent to each. - Excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers. - Ability to work in-person in our NYC office. NICE TO HAVE: - Deep knowledge of SEO, AEO, structured content, or agentic discoverability. - Experience with marketing sites, docs sites, or product-led-growth surfaces at a dev tools / infra / AI company. - Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest. - Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylo
[2026] Senior Machine Learning Engineer (Systems),...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Team - Creator Services Machine Intelligence Team : The Machine Intelligence team is building an NPC system that can (1) play any Roblox game and (2) perform real-time inference efficiently enough to support deployment to all Roblox players. - ML Platform Team : The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems. What You Will Do As a Senior Machine Learning Engineer, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. Creator Services Machine Intelligence Team - Develop Scale Data Pipelines: Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform. - Train Novel Architectures: Solve the feature extraction across games for NPC model in a general and scalable way and drive model training speed for novel, sophisticated deep learning architectures. - Optimize Real-Time Inference: Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments. ML Platform Team Track 1: AI Platform Projects - Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox. - Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable. Track 2: Distributed Inference & Systems Optimization - Architect and implement scalable distributed inference systems for efficiently serving
Research Product Manager, Labs
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 Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP. We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI. Responsibilities: - Work with researchers to understand what's emerging and what it means for users - Identify nascent research capabilities that could become transformative products - Build prototypes yourself to validate ideas before committing resources - Lead 0-to-1 product development from research to internal prototypes to shipped products - Define product strategy for experimental initiatives that push beyond our current offerings - Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible - Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Minimum Qualifications You might be a good fit if you: - Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. - Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions - Have a track record of launching ambitious products that have found distribution or commercial success - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks - Stay up-to-date and hands-on with emerging research and industry trends - Prototype with AI tools like Claude Code Preferred Qualifications - Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD <
Forward Deployed AI Accelerator, Marketing
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 Stripe Marketing organization is undergoing a fundamental transformation in how it works. We're building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work — not an occasional tool, but the foundation of how every marketer at Stripe executes. Today, marketers are already achieving remarkable results — building their own data dashboards, creating agents that compress multi-day processes, and authoring tools that accelerate workflows. The FDA team exists to take what's working and systematically scale it across the entire marketing organization. What you'll do As a Forward Deployed AI Accelerator, you'll be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You'll build alongside them, and you'll help them fundamentally change how they operate. Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool. Responsibilities - Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs • Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities - Coach and partner with each marketer through a progressive journey — from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency • Teach marketers to build and iterate on their own tools over time, creating independence - Recognize patterns across your cohort and systematically scale what works — a tool built for one marketer will be reusable for their peers - Document every tool, playbook, and transformation pattern you build so the entire FDA team uses each other's work - Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success - Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work - Prepare marketers for an agentic future — not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows Who you are We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work — not as a novelty, but as your default operating mode. - You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory — you've built things that changed how real work gets done. You build in real time alongside the people you support. - You are an outstanding coach and communicator. You meet people wherever they are. You create desire for progress, and you adapt your approach to each person. - You understand marketing work. You either have direct experience in marketing or quickly learn the workflows, deliverables, tool
Indirect Tax Lead
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 hiring our first dedicated indirect tax specialist to own all things indirect tax globally, reporting to the Head of Tax. ElevenLabs sells AI products to millions of users and thousands of businesses all over the world, which means a large and fast-growing indirect tax footprint: 40+ jurisdictions and digital services taxes on the horizon. This is a hands-on, end-to-end ownership role. You'll manage the full compliance cycle: filings, payments, reconciliations, journal entries, exemption certificates, and audits, while also building for scale: maintaining tax codes and configuration in Stripe, preparing for e-invoicing mandates, and standing up compliance in new markets as we register in new jurisdictions. You'll be the company's go-to expert on indirect tax — partnering with Finance, Legal, and Product on everything from product taxability and invoicing requirements to customer-facing tax questions. REQUIREMENTS - Deep expertise in US sales & use tax — multi-state compliance, nexus analysis, product taxability, exemption certificates, and audit defense — ideally for digital products, SaaS, or electronically supplied services - Working knowledge of international VAT/GST compliance, with the ability to own global filings alongside external advisors - Proven end-to-end ownership of multi-jurisdiction indirect tax compliance — you've run the f
Legal Program Manager, Compute & Infrastructure
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 exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. We'll rely on you to manage a high volume of procurement and vendor agreements — including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts — along with the NDAs, order forms, SOWs, and amendments that surround them. You will build the scalable contracting processes — templates, playbooks, intake and approval workflows, and contract lifecycle management — that let the business move at the speed of Anthropic’s infrastructure buildout. This role owns the system, throughput, and visibility that move every agreement from intake through signature. Key responsibilities - Coordinate and shepherd a high volume of compute and infrastructure procurement transactions — datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; construction/EPC and facilities/O&M agreements; and the supporting NDAs, order forms, SOWs, and amendments — driving each from intake through signature - Own and administer the contract lifecycle management system: workflow design and configuration, templates, approval routing, signing and archive and integrity hygiene - Design and run intake and triage: how requests enter, how they are prioritized, and how they route to the right owner - Propose and develop scalable solutions to improve contracting efficiency and throughput across the infrastructure vendor base - Collaborate with business units and legal team members to streamline contract management processes, manage post-signature obligations and renewals across the infrastructure vendor portfolio, identify potential risks, and drive continuous improvement in contract handling efficiency - Partner closely with the Compute and Infrastructure, Product, Finance, Security, Business Operations, and Procurement Ops teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - Build reporting, dashboards, SLAs, and the metrics that surface turnaround times and bottlenecks across the infrastructure vendor portfolio - Deploy LLM and AI tooling to scale contracting throughput and reduce manual handling Minimum Qualifications - Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace - Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines - An understanding of what's important in the context of a contract, the organization's mission, and enough contract fluency to triage and route requests, track obligations, and pull in relevant legal counsel - Excitement to grow with an organization and help shape the culture of the commercial function - A prefe
AI Applied Scientist
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 applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to improve Figma’s products. 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: - You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains - You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation - Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features - Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems - Build evaluation systems to measure and improve quality of AI features in Figma products We'd love to hear from you if you have: - Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments - Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc - Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus - 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision - Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) - Experience communicating and working across functions to drive solutions While not required, It’s an added plus if you also have: - Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision - Experience in mentoring/influencing senior engineers across organizations - Expertise working on large scale and distributed AI training 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.</
Senior Staff Machine Learning Engineer, ML Underst...
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 . We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform. This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness. You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact. This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging. What you'll do: - Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field. - Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance. - Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization. - Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale l
Staff Machine Learning Engineer, Ads Measurement M...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible first workforce! The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. The Measurement Modeling team owns all the Machine Learning solutions for Ads Measurement, including Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, Modeled Conversion, and new Measurement Modeling Initiative. As critical and complex part, in Identity Modeling, we are building new advanced machine learning solutions, the space resides in intersection of ads stack that interacts with various upstream and downstream systems, it serves critical business needs for monetization and consumer as well, including Measurement & Reporting, Experimentation, Personalization, Delivery, and Safety etc, requires major XFN as well as cross team/org collaborations. We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology. Our diverse group of engineers, product managers, data scientists, and ads specialists is excited to welcome you on board! Minimum Qualifications: - 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale - Demonstrated experience architecting and building ads measurement modeling solutions leveraging advanced machine learning techniques - Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution - Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference - Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink) - Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal) - Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution Responsibilities: - Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models - Design and train advanced ML mod
Member of Technical Staff - Product (Frontend)
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for strong frontend engineers who love building complex and gorgeous products, and have a high degree of customer empathy, product sense and ownership. REQUIREMENTS: - Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. - Experience building applications with a modern front-end Javascript framework such as React. Prior experience in Svelte is nice to have, but not required. - Ability to build pixel-perfect components and polished interactions. - Strong product sense and experience driving product outcomes. - Strong communication skills and a desire to partner with our customers in solving their problems. - Ability to participate in on-call rotation and respond to production incidents. - Ability to partner closely with product design to craft delightful user experiences. - Ability to work in-person in our NYC office.
Product Designer, Design, Dev, & AI Tools
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 technically-minded product designers who are excited to shape how teams build together. At Figma, design isn’t just how something looks—it’s how it works, how it feels, and how it scales. Our designers are systems thinkers, prototypers, storytellers, and craftspeople who care deeply about quality and collaboration. In this role, you’ll turn ambiguity into clarity, push the product forward with engineers, PMs, and researchers, and help us invent new ways for people to design and build products together. With an eye for simplicity and craft, curiosity for complex systems, and an appetite for technical challenges, you can help define the future of how software is made. This opportunity applies to openings of varying seniority levels across our team–including Figma Editor, AI, Interactivity, Design Systems, and Dev Tools. We’ll discuss more specifics about open roles during the interview process. 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: - Contribute to overall strategy and decision-making about product direction - Help deliver and refine clear storytelling around product needs and opportunities - Work cross-functionally with product management, engineering, design, and research peers - Create and iterate on flows, prototypes, and high-fidelity visuals, as well as provide thoughtful feedback for others doing the same so you can all do your best work - Design and ship high-quality features and product improvements in Figma’s core product surfaces - Contribute to our design org’s culture by participating in design critiques, mentoring peers, and sharing best practices across teams We’d love to hear from you if you have: - 3+ years of experience designing UX and UI for a software product of similar scale and complexity - Great attention to detail and a strong eye for visual craft, such as composition, typography, and layout - Fluency in interaction design and prototyping, to express and refine nuanced design decisions - A track record of independently driving design processes from discovery through launch—balancing user needs, technical constraints, and business goals - The ability to guide decision-making with structured thinking, clearly articulated rationale, and user-centered research. - A knack for figuring out ambiguous problems in complex systems, and shaping them into simple solutions with clear goals - Experience researching, prototyping, or building products with AI and other emerging tools to uncover new patterns for creativity and collaboration While it’s not required, it’s an added plus if you also have: - Familiarity with web technologies like HTML/CSS, prototyping tools such as Origami, or advanced Figma features like Auto Layout, Variables, and Components - A design/development hybrid background, or
Staff Software Engineer, Machine Learning 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 Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. Responsibilities - Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. - Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. - Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. - Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. - Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. - Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. - Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. - Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. -
Strategic Finance, Systems & AI Innovation
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! The Strategic Finance team is focused on solving some of Figma's most pressing business issues. The team is responsible for owning the company's budget, driving annual and quarterly planning processes, allocating and deploying the company's resources efficiently, performing financial analyses, and partnering with teams across the company. This role requires someone who can own and evolve the finance systems backbone at Figma and drive outsized impact as we scale toward more automated, intelligent, and AI-enabled planning. We're looking for someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You'll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business. This is a full-time role that can be held from one of our US hubs (SF / NY) or remotely in the United States. What you'll do at Figma: - Drive the execution of transformational projects by applying their finance and systems expertise, collaborating with partners across the organization, and defining business processes that improve automation, standardization, and simplicity - Influence Figma Finance's AI adoption strategy, defining how AI can be embedded into systems and workflows as infrastructure to drive analysis, reporting, and forecast decisions and execute on adoption alongside the team - Serve as the functional and technical owner of the financial planning platform (Pigment), leading development, enhancement, training, enablement, maintenance, and administration - Own the systems roadmap end-to-end, including prioritization, resource deployment, UAT, and governance - Design and evolve a best-in-class systems architecture, optimizing data flows, integrations, and tooling with influence extending beyond Pigment and Finance data to the broader company data ecosystem - Establish strong cross-functional partnerships with Strategic Finance Data Science, Data Engineering, Accounting, and Operations to influence data architecture, design integrations and optimize business processes & sophisticated forecasting in Pigment and Agentic tooling - Develop dashboards and dat
Finance & Strategy
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is growing fast – across product lines, geographies, and business models – and we are looking to hire a Finance & Strategy analyst to help us keep pace with that complexity. Finance & Strategy is a critical component of how we make decisions – from resource allocation to product investment to commercial strategy. As we scale multiple platforms with distinct business models, having sharp financial thinking embedded in the teams building and selling them matters. This role will act as a finance business partner to various teams and work on the central budgeting cycle for the company as a whole. For the teams you partner with, you will own the financial planning, performance reporting, and strategic analysis that helps product and operations leaders understand what's working, where to invest, and how decisions translate to the P&L. It's a role for someone who's comfortable getting into the details of product metrics or unit economics, and equally comfortable synthesising that into a clear point of view for senior stakeholders. In this role, you will: - Own financial planning, forecasting, and performance reporting across our product lines – revenue, margins, and unit economics - Partner with Product leadership on investment decisions, pricing, and new product launches, translating roadmap choices into financial outcomes - Define and track
Account Executive, AI Sales (Grower)
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 AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do - Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue - Own the full sales cycle, from business case development, to deal structuring and negotiating, to close - Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams - Drive deal strategy and commercial negotiations for large, complex renewals - Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions - Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship - Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture Minimum requirements - 6+ years of sales experience, preferably selling a technical product, with a track record of top performance - 2+ years leading complex sales cycles with Enterprise organizations required - Ability to understand technical requirements and craft solutions across multiple products - Ability to develop and execute account plans spanning multiple business units across complex organizations - A knack for working well with a wide range of people, both internally and externally - Strong presentation skills, particularly for in-person meetings with multiple stakeholders - Proven ability to lead complex negotiations involving bespoke commercial agreements - Superior verbal and written communication skills - Ability to operate in a highly ambiguous and fast-paced environment - Strong interest in technology and a deep understanding of the space
Senior Machine Learning Engineer
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform which powers coinbase chat, Help Center and agent tooling surfaces, partnering closely with Conversation Design, CX, and other Engg teams to deliver secure, compliant, and scalable AI-powered support. Our work provides the trusted and accurate automated and agent-assisted experiences—helping customers get answers faster while enabling human agents to resolve cases more effectively. We are hiring an IC5 Machine Learning Engineer to drive the evolution of our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will lead the design and implementation of a sophisticated unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is pivotal in managing complex state transitions, context sharing, and intent routing across a distributed environment. You’ll thrive here if you enjoy high ownership, architecting complex hand-off logic between disparate LLM frameworks, and building reliable AI-enabled products that are fast, measurable, and scalable. What you'll do: - Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. - Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. - Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. - Establish best practices for system design, coding standards, and AI/ML development workflows across the team. - Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. - Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance. Required Skills and Experience: - 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. - Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. - Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code. - Specialized knowledge
Deployment Strategist
Scale is building AI for the world’s most important decisions. From the front lines of national defense to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests. As a Defense Deployment Strategist, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI — autonomous, reasoning systems — into the heart of defense workflows, ensuring that our nation's most complex decisions are supported by the world’s best technology. Deployment Strategist We are looking for a powerhouse executive account leader who understands that winning in the DoW isn't about a successful 6-month pilot; it’s about Program of Record integration. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding. Responsibilities: This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following: - Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition. - Tactical Execution: You don't just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defense contracting. - Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn't just work, but scales. - Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard. - Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against. - SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defense Primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements. Requirements: - Experience: 10+ years of experience in complex enterprise IT sales or business development specifically within the DoW/IC. - Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget. - Domain Expertise: Deep understanding of the DoW’s modernization priorities, specifically in AI/ML, computer vision, or autonomous systems. - The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major PEO. - Strategic Network: Existing high-level relationships across the DoW, with a specific focus on Defense Agencies and enterprise IT, as well as a Rolo
Data Scientist, Marketing
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 Marketing Data Scientist to join Figma's Data Science team and help drive how we measure, optimize, and scale our marketing investments across the customer journey. In this role, you'll work closely with Paid Marketing, Lifecycle Marketing, Demand Generation, and Growth teams to develop measurement frameworks, improve targeting and segmentation, evaluate marketing effectiveness, and uncover insights that drive business growth. This role sits at the intersection of analytics, experimentation, and strategy. You'll work with marketing leaders to answer some of Figma's most important growth questions, including how we acquire and engage customers efficiently, which marketing investments drive incremental business impact, and how we can improve the effectiveness of our marketing programs at scale. This is a unique opportunity to shape the future of marketing measurement at Figma. You'll help build best-in-class capabilities across attribution, incrementality, experimentation, forecasting, and marketing mix modeling, while partnering with stakeholders across Marketing, Finance, Product, and Research to influence high-impact decisions and accelerate growth. What you'll do at Figma: - Develop and own end-to-end measurement frameworks and attribution models to evaluate the effectiveness of Figma's marketing investments across the full funnel, channels, and regions. - Partner with stakeholders across Brand Marketing, Email, Lifecycle, Demand Gen and Research teams to define success metrics, uncover insights, and drive data-informed decision making. - Develop and apply statistical and machine learning models to solve key marketing challenges, including audience targeting, creative effectiveness, customer engagement, and campaign performance measurement. - Assess the incremental impact of marketing investments across channels to inform budget allocation and growth strategies. - Build dashboards, reporting frameworks, and analytical tools that help stakeholders understand brand performance and business impact. - Translate complex analyses into clear recommendations for marketing leaders and executive stakeholders. - Drive foundational improvements in data quality, measurement infrastructure, and reporting capabilities across the marketing organization. <li
Product Support Specialist (Singapore)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring our first Singapore-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Responsibilities: - Become an expert in all Anthropic products - Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: - Have experience in providing technical product support within a second tier, escalated, or priority support team. - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC. - Are proficient at working in a technical environment and are interested in Anthropic’s
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