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Partnerships Lead - ANZ
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 This is a critical leadership role responsible for building and scaling Anthropic's consulting partner ecosystem and AI-native boutique partners across Australia and New Zealand (ANZ) region. You will own the strategic roadmap, investment prioritization, development plans, and revenue accountability for a portfolio of partnerships that will collectively become critical drivers of Anthropic's enterprise growth. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones. Key responsibilities - Partnership development and execution: - You will treat each partner as a structured sales pursuit with detailed stakeholder mapping, account plans, and targeted engagement strategies. - You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. - Performance and KPI ownership: - Own and drive key performance indicators: partner-sourced pipeline, partner-influenced revenue, consultants trained and certified, joint proposals submitted - Establish clear success metrics with each partner and drive regular business reviews against targets - Report on partnership health, progress, and commercial outcomes with data-driven insights - Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement. - Market Development & Brand Building - Amplify the Anthropic brand across ANZ through strategic partner relationships - Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances - Navigate regional regulatory, compliance, and data sovereignty considerations - Create competitive differentiation through unique partner capabilities and joint value propositions Minimum qualifications - 15+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses - Demonstrated track record of building and scaling enterprise technology partnerships from zero to meaningful, repeatable revenue - Experience driving partner-sourced and partner-influenced pipeline through consulting, systems integrator, or platform partners - Hands-on proficiency with CRM and pipeline management tools (e.g., Salesforce) and with building account plans, stakeholder maps, and partner business reviews - Ability to work cross-functionally across sales, product, marketing, and regional teams <
Account Director, Digital Native
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage a ~dozen key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$1M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Financial Accounting
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 building out its core accounting function as we scale across multiple entities and geographies. As Financial Accounting, you will own key components of the monthly close – journal entries, account reconciliations, inter-company transactions, and financial reporting support. This is a high-ownership role in a lean team. You will work directly with the Controller and broader Finance function, helping build audit-ready processes as the company grows toward IPO readiness. The right person is technically grounded in US GAAP, has experience in a controls-conscious environment, and is energized by the pace of a fast-growing company. REQUIREMENTS - Hands-on experience with full-cycle close: journal entries, account reconciliations, flux analysis, and variance commentary - Solid working knowledge of US GAAP; experience in a pre-IPO, IPO-stage, or public company environment strongly preferred - Exposure to building or contributing to internal controls and SOX-ready accounting processes – not just operating within them - CPA, ACA, or ACCA qualification (active or actively in progress) - Proficiency with NetSuite or an equivalent ERP Bonus: - Prior experience in a high-growth SaaS or technology company - Familiarity with intercompany accounting, FX translation, and multi-entity consolidation LOCATION This role is remote and can be executed glob
Commercial Counsel, APAC
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 Commercial Counsel to join our growing Commercial Legal team as our founding legal presence in APAC, based in Sydney. You'll serve as a strategic partner to our sales teams, leading complex negotiations and commercial deals that fuel our expansion with companies and organisations across the region, from startups to large enterprises. You'll guide sophisticated technology transactions across diverse industries and client sizes while advising on the legal and regulatory considerations unique to responsible AI deployment throughout APAC. As one of our first commercial legal hires in the region, you'll have the opportunity to shape how Anthropic builds its legal foundation across APAC, designing the processes, playbooks, and frameworks that scale with us. Key responsibilities - Serve as a key strategic advisor to sales leadership on complex commercial deals and contractual matters, from small and medium enterprises to large enterprise clients - Lead negotiations and close sophisticated agreements with diverse APAC companies and organisations across multiple industries and market segments - Navigate APAC regulatory compliance requirements and jurisdiction-specific contracting considerations across multiple markets - Design and implement scalable contract frameworks, playbooks, and processes to support our fast-growing APAC sales organisation - Identify, analyse, and proactively manage complex legal and regulatory risks while maintaining deal velocity in our rapidly evolving AI landscape - Anticipate emerging legal developments affecting AI technologies across APAC jurisdictions and provide strategic guidance to cross-functional leadership - Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the APAC region Minimum qualifications - Admitted to practise as a lawyer in Australia, with a current or obtainable practising certificate - Deep expertise in complex technology agreements and regulatory compliance frameworks, including those relevant to the adoption of emerging technologies across APAC markets - Strong business judgment and ability to balance legal risk with commercial objectives in fast-moving deal environments - Demonstrated ability to navigate novel legal challenges with limited precedent in cutting-edge technology applications - Clear, effective communication skills with the ability to influence stakeholders across seniority levels and organisational functions - A collaborative, solutions-oriented approach to supporting high-velocity sales processes across diverse market segments - Strong understanding of AI technology trends and commitment to responsible AI deployment Prefe
Staff GenAI Engineer - Application Performance Mon...
We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. - Build and benchmark GenAI/ML models using state-of-the-art techniques. - Collaborate with cross-functional teams to build automated investigation and triaging tools. - Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. - Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. - Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: <li data-prosemirro
Software Engineer, Robotics
Software Engineer Argentina; Uruguay Software Engineer - Robotics & Autonomous Systems Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems. You Will: - Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets - Build ML training and fine-tuning pipelines using Scale's robotics data - Work across backend (Python, Node.js , C++), and frontend (React, TypeScript) stacks to build end-to-end solutions - Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation - Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development - Design comprehensive monitoring and evaluation frameworks for robotics models and data quality - Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors - Collaborate with ML engineers and researchers to bring robotics research into production - Deliver features at high velocity while maintaining system reliability and performance Ideally, You Have: - At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. - Strong programming skills in Python and TypeScript/Node.js for production systems - Experience with React and modern frontend development for 3D interfaces - Concurrent and real-time systems, with special attention to timing constraints - Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker) - Experience with databases (MongoDB, PostgreSQL) and data processing at large scale - Track record of working with cross-functional teams including ML engineers, researchers, and customers - Strong communication skills and ability to operate with high autonomy Nice to Haves: - Experience with C++ - Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization - Background in computer vision, SLAM, motion planning, or imitation learning - Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing - Experience with ML model deployment and serving frameworks - Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces - Experience with workflow orchestration systems (Temporal, Airflow) - Published research or open-source contributions in robotics or autonomous systems </ul&g
Staff Software Engineer, Developer Productivity (C...
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 Every engineer at Anthropic depends on the path from pull request to production. The Developer Productivity team owns that path end to end — review automation, CI, the merge queue, the deploy pipeline, and the policy that gates each step. These pieces exist today; the opportunity is to integrate them into a single fast, predictable system that scales with the volume of code shipping into Claude and our research infrastructure. In this role, you'll be responsible for making "time from push to healthy in production" a metric the whole company can rely on. You'll shape the CI and repository topology that best serves our velocity, build AI-assisted review that keeps confidence high as PR volume grows, and partner closely with platform, security, and delivery infrastructure teams on the substrate underneath. This is a tech-lead-scope IC role with broad cross-team influence — you'll represent Developer Productivity in org-wide pipeline decisions and help other teams adopt the standards you set. We use Claude heavily in our own development workflows, and this team is at the center of that: agentic coding is both how we work and part of what you'll be building. Key responsibilities - Own the build, test, merge, and deploy pipeline end to end — what runs on each PR, what auto-approves, what gates merge, and how a change progresses to running healthy in production - Drive down and defend "time from push to healthy in prod" as a core engineering metric - Design and tune AI-assisted code review so confidence-to-land scales with PR volume - Build the deploy and release path — canary, progressive rollout, health checks, automated rollback — in partnership with the platform teams who own the underlying substrate - Improve test reliability by quarantining, root-causing, and retiring intermittent failures - Shape CI and repository topology (build graph, test targeting, scope boundaries) to match how the company actually ships - Partner with platform, delivery infrastructure, and security teams, and represent Developer Productivity in cross-org pipeline decisions - Design processes (postmortem review, incident response, on-call) that help the team operate reliably and never fail the same way twice Minimum qualifications - Significant backend or developer-infrastructure engineering experience, with hands-on responsibility for a high-leverage CI/CD, merge queue, or land pipeline at scale - Proficiency in Python and at least one statically-typed systems language (e.g., Go or Rust) - Experience operating CI/CD or release systems through production incidents, including writing postmortems and driving remediations - Demonstrated ability to work across team boundaries — building consensus with platform, security, and product engineering stakeholders - Comfo
Associate Product Marketing Manager
Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth. If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you. RESPONSIBILITIES - Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them. - Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters. - Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs. - Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs. - Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do. - Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery. QUALIFICATIONS - 2-3 years of experience in product marketing, customer education, business development, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title. - Proven ability to synthesize complex technical concepts into simple, specific, and provable explanations that travel across new users, power users, and admins. - Genuine obsession with product: you explore every setting, test every new feature, and can explain what a product does better than the team that built it. - Sharp teaching and storytelling skills grounded in data, with the ability to summarize how a feature works in a single sentence and demonstrate it live. - High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.
Machine Learning Engineer II (Servicing ML)
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. On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring. What you'll do - You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers. - You will build models that automate refunds, getting money back to our customers faster. - You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs. - You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer - Strong Python skills and experience writing production-quality code - Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost). - Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph. - Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar). - Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms). - Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. - This position requires either equivalent practical experience or a Bachelor’s degree in a related field Base Pay Grade - L Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay
Manager, Strategic Sourcing, AI Infrastructure & S...
We’re looking for an experienced sourcing leader to join the Datadog Procurement team and help grow the Strategic Sourcing group. Make an impact by partnering closely with senior technology and business leaders, owning our fastest-growing AI, neocloud, and inference spend end-to-end, and continuing to prove the value that Strategic Sourcing brings to the organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Own the AI spend category end-to-end, covering foundation-model and AI APIs, AI development and productivity tools, and AI-enabled SaaS (with neocloud and inference compute as an emerging area), while developing and executing category strategies aligned to business objectives - Champion AI and automation adoption across the sourcing function by identifying tools (e.g. Claude, ChatGPT) and building repeatable workflows that make sourcing faster, smarter, and more scalable - Lead high-value AI vendor negotiations spanning foundation-model and API agreements, AI development and productivity tools, and AI SaaS, structuring seat- and consumption-based pricing across net-new purchases and strategic renewals, and building neocloud and GPU-capacity capability as the category grows - Partner with Engineering and Finance to turn architectural and consumption trade-offs into commercial business cases, forecasts, and savings targets - Build pricing and consumption models and apply FinOps discipline to quantify buying scenarios and uncover savings across a fast-moving spend base - Work alongside executive and senior technology leadership as a trusted advisor on AI and neocloud investment decisions, influencing strategy and commercial trade-offs at the leadership level - Track category KPIs (savings, pipeline, cycle time), monitor AI market, vendor, and pricing trends, and report outcomes and recommendations to leadership - Partner cross-functionally with Procurement Operations, Legal, and Security to ensure compliant, scalable execution Who You Are: - 8+ years supporting procurement through strategic sourcing, with a history of category ownership and negotiated savings, ideally across AI software and services, SaaS, and engineering tooling, with neocloud or compute a plus - Fluent in AI spend economics: foundation-model and API pricing, seat- and consumption-based SaaS models, and the cost drivers behind inference, with neocloud provider models an emerging area - Able to lead complex, high-spend negotiations independently and present business cases and savings outcomes to senior stakeholders and Finance leaders in a clear, concise way - Strong executive presence, with the ability to build trust and align senior leaders (up to the executive level) on strategy and commercial trade-offs - Curious about AI and emerging technologies, with a track record of turning them into practical applications that improve team productivity and sourcing workflows - Able to create structure in ambiguous, high-growth environments: global initiatives, scaling headcount, and breaking down silos - Able to become an SME for sourcing and procurement systems such as Zip, and hold a Bachelor’s degree in a related field Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s
Compliance Governance & Oversight Lead
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 Integrity & Compliance (I&C) function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more regulated industries. Our global compliance program is bespoke, reflecting our unique mission and position as one of the leading AI labs operating on the frontier. The Governance & Oversight pillar is the operational and structural backbone of Integrity & Compliance. It owns the frameworks, policies, controls testing, training, GRC tooling, and reporting that hold the rest of the function together — and that allow Anthropic to demonstrate accountability to employees, customers, regulators, and the public as the company scales. We're hiring a Compliance Governance & Oversight Lead to set the strategy for how compliance governance works at Anthropic, own the systems and reporting that give leadership a clear line of sight into program health, and partner with the leads of our other I&C pillars — Privacy Programs, Regulatory Programs, and Corporate Compliance — to ensure their work is supported by a coherent operating model. This is a senior leadership role in a function being built from the ground up. You'll have significant autonomy to shape the design of the pillar, and you'll build and develop the team that runs it. You'll report to the Head of Integrity & Compliance. Key responsibilities - Set the strategy for compliance governance and oversight at Anthropic, defining how policies, controls, training, and reporting come together into a coherent operating model across the I&C function - Own the policy lifecycle end-to-end — drafting standards, approval workflows, version control, attestation, and accessibility — and ensure Anthropic's compliance policies are current, coherent, and demonstrably communicated - Lead selection, implementation, and ongoing administration of the GRC platform that serves as the central system of record for I&C, including risk tracking, control documentation, issue management, and workflow - Design and run the controls testing and monitoring program across all I&C pillars, partnering with pillar leads to verify controls are operating as intended and to surface gaps before they become issues - Own the compliance training program, working with subject matter experts across I&C to develop, deliver, and evidence training that meets regulatory requirements and embeds compliance into how the company operates - Drive issue management across the function — ensuring findings, exceptions, and remediation are documented, owned, escalated where needed, and driven to closure - Build the metrics, dashboards, and reporting cadences that give the Head of I&C, the broader leadership team and Internal Audit a clear view of program health, key risks, and strategic priorities - Prepare and present compliance reporting to leadership synthesizing inputs from across pillars into clear narratives - Coordinate the function's responses to compliance-related due diligence requests from
AI Innovation and Enablement Specialist
Lovehoney Group is the world’s leading sexual wellbeing company, with the mission to elevate pleasure through innovative technologies, a data-driven approach, and foster creative and fresh perspectives on intimacy. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a streamlined online shopping experience. At Lovehoney, we employ over 800 passionate and progressive individuals across 11 global offices, each person contributing a unique blend of talents to our diverse workforce. We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives. Join us at Lovehoney, where pleasure combines with creativity, data, and innovation! We are currently looking for an AI Innovation and Enablement Specialist who will drive AI adoption across the organization and oversee the effective rollout of AI capabilities in all functions. In this role, you will lead the implementation of Claude Enterprise, rolling it out function by function through a structured Champions Programme. You will work closely with teams to map and redesign processes with an AI-first mindset, configure skills and MCP connections, and develop tailored learning paths. Additionally, you will facilitate brainstorming sessions with teams, monitor adoption, and track the organization’s overall AI maturity to ensure sustainable impact. What you will do Partner with teams to identify AI opportunities, map workflows, and translate needs into clear use cases. Drive AI adoption through workshops, hands-on guidance, and the development of a Champions Programme. Support teams in becoming confident users of AI and guide AI-driven process changes among cross-functional teams. Monitor AI trends and share relevant, actionable insights internally. Configure and customize MCP servers, creating and managing AI skills and agents, and customising tools like Claude Code, Claude Co-work, or Claude Projects meet team and business needs. Act as a bridge between business teams and AI implementation, contributing hands-on to solutions. What you should bring Bachelor’s or Master’s degree in a relevant field (e.g. business, economics, or digital disciplines). Regular user of AI tools (e.g., Claude, Chat GPT) with the ability to customize and configure beyond basic use. Comfortable working hands-on with AI tools, including skills, agents, and custom set-ups. Strong and confident communicator and facilitator, experienced in leading workshops and engaging both technical and non-technical audiences. Experience or strong interest in driving change and AI adoption across teams. Able to build and sustain a network of internal AI advocates. Curious and analytical, with the ability to map processes and identify inefficiencies. Skilled at translating needs into clear, actionable requirements. Solid technical foundation with practical, hands-on AI experience (formal or self-taught). Able to collaborate effectively with technical teams and motivated to take ownership and make a visible impact. Proactive, self-driven learner with a strong curiosity for AI, and creative problem-solver who naturally leverages AI tools. What we can offer you A competitive salary that values your skills and expertise, because we know you deserve it. Secure your financial future with a comprehensive pension scheme, so you can enjoy peace of mind knowing you are taken care of. Keep your mind and body in top shape with a health cash plan and gym discounts, with £15 a month towards the gym of your choice. Treat yourself and your loved ones with our generous staff discounts and be rewarded for your hard work with our fantastic annual bonus scheme. Work with a company that cares about your well-being and success and join our supportive and dynamic team. Stay secure at work and at home with a complimentary 1Password Family account. All Lovehoney Group employees can invite up to five family members t
Product Marketing - Agents
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 are looking for a product marketer that can position & package the ElevenLabs Agents Platform to Enterprise. Companies around the world use ElevenLabs Agents to resolve customer support, provide engaging and interactive experiences, and put an end to “waiting on hold”. We continue to discover new use cases and industries that can benefit from our technology and you’ll be helping drive the narrative as we grow. You’ll help launch new products, produce thought leadership content, create assets to enable our sales team, and build industry focused landing pages. Who You Are We're looking for an exceptional individual who combines a great product & design sense, excellent copy writing skills, and the technical background and interest to become an expert on Conversational Agents. You’ll thrive on our team if you: - Are extremely passionate about AI Audio and technology more generally. - Have experience launching products and creating content for technical / enterprise audiences. - Have excellent project management skills and can juggle multiple tasks at once. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. This role is remote and can be executed globally. If you prefer, you can w
Policy Communications 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're seeking an experienced Policy Communications Manager to help drive external communications for our security, governance, and responsible scaling programs, and associated work. This role offers the opportunity to help shape how Anthropic communicates about our approach to developing secure AI systems and products, our work to uphold and iterate on our Responsible Scaling Policy framework, and the unique corporate structure that keeps the company accountable to its mission, including our Long-Term Benefit Trust (LTBT) and our status as a public benefit corporation. You'll partner closely with our security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models as the technology becomes increasingly capable across critical domains like cybersecurity. You'll also help lead communications about how Anthropic is governed: the role of the LTBT's independent trustees in overseeing the company and electing members of our board, the obligations that come with our public benefit corporation charter, and why we believe this structure matters as AI systems grow more powerful. As governments establish regulatory frameworks for frontier AI, you'll help articulate how Anthropic approaches its transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This will include balancing proactive storytelling about product security updates and launches with thoughtful handling of reactive matters as they arise. We're charting new terrain communicating about fast-moving frontier model capabilities and threat surfaces, and about institutional structures few other companies have built. You'll bring strong communications fundamentals to the role but recognize that traditional approaches may not map cleanly to the novel issues we're tackling. The ideal candidate is an experienced issues handler with strong executive management skills, attention to detail, and the judgment to navigate sensitive topics with care. You should be able to move quickly under pressure and tight deadlines, write crisply, and distill complex security, governance, and technical topics for a broad audience while maintaining accuracy. This is a unique opportunity to help define how one of the world's leading AI safety companies communicates about the security and governance challenges that will shape the future of the technology. Key responsibilities: - Develop and execute communications strategies for Anthropic's approach to AI security, governance, and responsible scaling - Drive external communications about Anthropic's corporate governance, including the Long-Term Benefit Trust and our public benefit corporation status, explaining how these structures provide independent oversight and accountability to our mission - Serve as a trusted communications partner to security, product, legal, governance, and RSP leaders on sensitive, fast-moving matters - Develop proactive communications around emerging regulatory frameworks and transparency obligations, including public reporting commitments, disclosure requirements, and Anthropic's engagement with oversight bodies - Manage reactive inbound media requests on complex security and governance topics -
Enterprise Solutions Engineer - North America
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating
Senior Machine Learning Engineer, CX Intelligence
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. 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 in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling. - Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency N
Senior AI Programmer
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. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you'll play a critical role on a small, focused team. You'll own core AI features and drive collaborative development between programmers, designers, and artists, working with cutting-edge technologies and talented teams to build impactful experiences from concept to delivery. In this role, you will - Collaborate with art, design, and engine AI teams to create, iterate on, and improve gameplay AI features - Experiment with game design and iterate rapidly, making strong technical and algorithmic decisions - Drive, build, and maintain core AI systems shared in the Fortnite AI ecosystem - Optimize, debug, and maintain gameplay AI systems to deliver high-quality experiences across all supported platforms What we're looking for - Professional game development experience, including shipping AAA titles with AI systems - Experience working with AI systems (Behavior Trees, Finite State Machines, Pathfinding, Animation, etc.) - Excellent C++ skills with experience developing AI gameplay mechanics and tools - Strong knowledge of games with the ability to articulate design strengths and weaknesses - Excellent communication and interpersonal skills - Ability to work independently and manage priorities with minimal direction - Strong problem-solving skills with the ability to find solutions beyond established approaches - Experience working on a live service game is a plus - Interest in online games is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern
Senior Software Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: - Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement - Identify and remediate security gaps through code review, threat modeling, and hands-on debugging - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: - At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production - Bachelor's degree in Computer Science or equivalent industry experience - Strong programming skills in Python or at least one systems language such as Go or Rust - Experience contributing to cloud security controls - A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix - Clear communication skills and the ability to work collaboratively across engineering teams - Low ego and high empathy, with a genuine interest in helping teammates succeed - Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: - Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure - Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers - Experience with cloud security posture
Commercial Counsel, SPARC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Commercial Counsel, SPARC (Safety, Policy, and Research Contracts) to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners (moving fast, thinking creatively, and working collaboratively) on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. You'll also focus on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations. This is an excellent opportunity for a motivated attorney to develop deep expertise in their commercial transactions career while contributing directly to responsible AI development. Key responsibilities - Draft, review, and negotiate commercial agreements, focusing mainly on AI safety and research agreements, as well as GTM/Sales transactions including enterprise customer contracts - Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance - Help build and maintain commercial legal infrastructure, including contract templates, playbooks, and process improvements - Partner with Policy, Safeguards, and Research teams on novel AI governance initiatives - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies Minimum qualifications - J.D. and active membership in at least one U.S. state bar (California preferred) - Experience drafting, reviewing, and negotiating commercial agreements - Demonstrated ability to provide clear, practical legal guidance to non-lawyers on complex commercial law matters Preferred qualifications - Commercial experience supporting research collaborations and sponsored research and grant giving programs - Curiosity about AI technology and AI policy, and a commitment to responsible AI development - Experience with biotech, clinical research, or other life sciences transactions - Familiarity with grant-making or grant-funded arrangements, including funding terms and compliance considerations - Experience advising on partnerships with non-profit foundations, academic institutions, or industry trade groups - Comfort advising research teams whose work doesn't follow a standard commercial playbook - Strong communication skills, with the ability to translate legal concepts for non-legal audiences&l
Manager, Machine Learning Engineering (Fraud)
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 Machine Learning team builds models that power critical decisions during the loan application process, protecting Affirm and its customers from fraud while maintaining a seamless user experience. As a manager, you will lead a team of ML engineers developing and improving models that detect and prevent abuse in a rapidly evolving, adversarial environment. In this role, you will define the technical and modeling strategy for fraud detection, guiding the team across the full machine learning lifecycle from feature development and experimentation to production deployment and monitoring. You will partner closely with Product, Fraud Analytics, Risk, and Platform teams to ensure high-quality models are effectively integrated into decisioning systems. You will also help drive the evolution of modeling approaches at Affirm, including the adoption of representation learning and transformer-based techniques to better capture complex behavioral patterns. What you’ll do - Set the technical and modeling strategy for fraud detection, aligning team efforts with key business outcomes such as fraud loss reduction, approval rates, and customer experience - Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models across the full ML lifecycle, from experimentation to production - Drive the evolution of modeling approaches, including the adoption of representation learning, transformer-based methods, and other advanced techniques for modeling complex behavioral data - Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions, evaluate trade-offs, and ensure models are effectively integrated into decisioning systems - Develop talent by coaching engineers, providing feedback, and fostering a high-performing team culture grounded in technical excellence and ownership What we look for - Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers - Experience with modern ML approaches, including representation learning, deep learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees - Proven ability to lead teams delivering end-to-end ML solutions in production environments, including experimentation, evaluation, and model iteration in production - Strong engineering fundamentals and experience working with scalable systems and data pipelines - Track record of effective cross-functional collaboration with product, analytics, and engineering partners - Ability to operate in ambiguous, fast-evolving environments and drive clarity, prioritization, and execution - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. <
Talent Operations
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 key member of the Talent team at ElevenLabs, you'll play a vital part in our hiring strategy and execution. This is a unique opportunity to build and power the engine of ElevenLabs through hyperscaling headcount, while ensuring our tooling and processes are efficient and scalable. You will be a key strategic partner in implementing tooling, managing cross-functional stakeholders, building metrics and dashboards, and creative problem solving to unblock hiring and hiring managers in their day to day operations. You’ll collaborate with the team to optimize workflows, analyze team progress towards KPIs, and identify and execute work towards scalable growth. This is a high autonomy, high impact, and high growth role. You'll partner closely with recruiters and hiring managers to deliver a world-class candidate and stakeholder experience. Specifically, you will: - Become an expert in the workflows of recruiting: interview scheduling, coordination, stakeholder management, etc, and be responsible for taking them to the next level. - Design, implement and launch key, strategic Talent projects, utilizing AI, workflow automations and the latest technology. - Identify cutting-edge Talent tools, ensuring that we are constantly upgrading our Talent tool ecosystem. - Design best-in-class Talent processes and SOPs. - Help implement our Data Strategy to ensur
Senior Engineering Manager, Machine Learning Platf...
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. Machine Learning is central to how Affirm delivers on its mission — powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Manager to lead our ML Platform engineering organization, the team that builds and operates the critical infrastructure enabling every ML capability at Affirm. This is a high-impact, technically demanding role at the intersection of distributed systems, modern AI, and platform engineering. You will manage a team of engineering managers and stay deeply connected to the engineers building the platform, ensuring we continuously evolve ahead of Affirm's ML ambitions. What You'll Do - Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale. - Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs. - Continuously evolve the platform to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs. This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next. - Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives. - Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor. - Recruit, develop, and retain world-class platform engineers. What We Look For - 12+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers. - Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent. - Strong understanding of data — data pipelines, data quality, and how data shapes model behavior and platform design. - Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving. - Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs. - Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams. - Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder. - Experience navigating ambiguity and leading through organizational complexity. - Bachelor's degree in a technical field or equivalent practical experience. Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and visi
Marketing Events Lead, Brand
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Events Lead, Brand at Anthropic, you will own the strategy and execution of brand-focused events that create meaningful experiences and build Anthropic's share of mind in the AI landscape. You'll sit within the Marketing Events team and be responsible for conceptualizing, producing, and measuring events that authentically communicate who Anthropic is and what we stand for—from intimate thought leadership gatherings to large-scale brand activations at industry tentpole moments. Each experience the team creates prioritizes tangible problem-solving through live demonstrations and technical deep-dives, meaningful dialogue that advances both the technology and its responsible implementation, and direct business impact through growing brand awareness and customer affinity. You'll work cross-functionally with brand creative, communications, policy, and product teams to ensure every event reinforces Anthropic's unique position as a company building safe, reliable AI. This is an ideal role for someone who thrives at the intersection of brand storytelling and experiential production—someone who can translate a brand's values into physical and digital moments that resonate with diverse audiences, from developers to enterprise executives to policymakers. Responsibilities - Develop and execute brand events, ensuring alignment with Anthropic's broader brand and marketing objectives, including increasing unaided awareness and establishing AI provider mindshare - Manage a team of full time and contracted employees - Lead end-to-end production of Anthropic-owned brand events, including concept development, creative direction, vendor management, on-site execution, and post-event analysis - Collaborate closely with the brand creative team to develop compelling event identities, spatial design concepts, and experiential elements that bring the Anthropic brand to life in three-dimensional spaces - Partner with communications and policy teams to produce thought leadership events, forums, and experiences that position Anthropic as a leader in responsible AI development - Manage Anthropic's brand presence at priority industry conferences and sponsorship activations, overseeing booth design, experiential elements, and attendee engagement strategies - Build scalable event playbooks, templates, and processes that maintain brand consistency and creative quality as the program grows - Develop and manage relationships with external production agencies, venue partners, and experiential design firms - Track and report on event performance metrics, connecting brand events to awareness, sentiment, and affinity goals - Manage event budgets and timelines, balancing creative ambition with operational rigor - Stay current with experiential marketing trends, emerging event technologies, and innovative formats that could elevate Anthropic's event presence -
Senior Machine Learning Engineer, Applied AI Model...
Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About the Team & Role The Firefox team is building the next generation of intelligent, privacy-aware experiences for the web. As part of this evolution, we are embedding modern AI and LLM-driven features directly into the browser—empowering users while safeguarding their autonomy and data. We’re looking for a Senior Machine Learning Engineer with a strong focus on applied AI and modern LLM-based applications . You will help conceptualize, prototype, and deploy user-facing experiences grounded in Generative AI , working collaboratively with engineering, design, and product to bring these capabilities to life in Firefox. What You’ll Do - Develop and fine-tune large language models (LLMs) for intelligent, safe, and responsive browser interactions. - Apply retrieval-augmented generation (RAG), summarization, classification, and intent modeling techniques in real-world browser workflows. - Use modern ML tooling (e.g., Hugging Face, LangChain, Weights & Biases, Ray, or similar) to support end-to-end model development , including experimentation, evaluation, and rollout. - Collaborate closely with product and engineering partners to design, iterate, and launch features that align with user needs and Mozilla’s values. - Design and implement experiments to test model behavior in production, analyze results, and iterate based on findings. <
IT Systems Engineer, Client Platform Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) treats Anthropic’s device fleet as a distributed platform, not a collection of laptops. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet spans macOS, Windows, and a growing mobile footprint. You’ll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You’ll build zero touch provisioning that turns a sealed box into a productive machine on day one, manage rapid patching enforcement schedules while maintaining a good user experience, and build automation and Claude-driven workflows to eliminate operational toil. The role sits at the intersection of security and developer experience: working with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure controls don't get in the way of getting work done. It also lays the groundwork for access decisions based on device trust. If you think of “100% compliant” as a claim to audit rather than a fact to report, you’ll fit right in. The team is deliberately lean and runs with high autonomy. You’ll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee’s work runs on. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities - Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS, Windows, and mobile, with canary stages and rollback built in - Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response - Build patch management automation with rapid enforcement timelines while maintaining good user experience - Design zero touch provisioning that turns a sealed box into a productive machine on day one - Run software distribution for the fleet, including managed app distribution for mobile devices - Turn fleet telemetry into policy, dashboards, and early drift warnings, and build automation with Claude that removes operational toil - Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls - Serve as the deep escalation tier for endpoint issues IT Operations can’t resolve You may be a good fit if you - Have 8+ years building secure IT systems in complex environments, or for Staff level, have led projects spanning multiple teams that changed how an organization operates - Have managed endpoint fleets of thousands of macOS and Windows devices through a modern MDM - Treat endpoint configuration as code and have moved past clicking in consoles, whether through scripted
Technical Program Manager, Enterprise Commerce
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 enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams. We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress. Responsibilities - Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership - Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal - Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit - Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom - Have run compliance or audit-readiness programs (SOX, SOC, or similar) and understand how control design, evidence collection, and engineering delivery fit together - Can build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them - Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have - Background in revenue operations, order-to-cash, billing platform, or finance systems product management - Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure) Deadline to Apply: None, applications will be received on a rolling basis. 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: <div class="pay-range"&g
Software Engineer II, Backend (ML Training & Servi...
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. Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Software Engineer II to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do - With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. - You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. - You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. - You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For - You have a total of 1.5+ years of experience as a software engineer. - You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. - This position requires either equivalent practical experience or a Bachelor’s degre
Consumer Music Marketing 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 Built on top of ElevenLabs’ cutting-edge music technology, Eleven Music empowers anyone to create, remix, and explore soundtracks from a single prompt. It’s the platform where artists, creators, and music lovers turn ideas into professional-quality songs, and release them to listeners worldwide. We’re hiring a passionate Growth Marketing individual to drive increased user acquisition, activation, retention, and monetization for Eleven Music. You’ll play a key role in developing and scaling the product’s growth in markets globally, including user acquisition, paid marketing, SEO and ASO, lifecycle marketing (email/push), internationalization, and subscription campaigns. You will work cross-functionally with Growth, Engineering, and Partnerships teams to deliver growth outcomes. As a data-driven team, you’ll develop data analyses to better inform marketing strategies, understand users, and drive lasting growth. REQUIREMENTS We're looking for an exceptional individual who combines technical excellence with ethical awareness and high organizational skills, who are excited by hard problems and motivated by human impact. You’ll thrive on our team if you: - Have experience building and scaling consumer products from the ground up. - Are a highly motivated and driven individual with a strong work ethic. - Are passionate about AI combined with consumer ap
Forward Deployed Engineer - Software Engineer - Si...
ABOUT ELEVENLABS ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education. ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others. ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love 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. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw. WHAT WE OFFER - Learning & development: Annual discretionary stipend towards professional development. - Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: We bring the entire company together at a new location every year. - Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend. ABOUT THE ROLE You’ll use your creativity, problem-solving, and technical expertise to design tailored solutions that make a real impact. Embedded with our most strategic customers, you’ll get a front-row seat to some of our highest-stakes projects. From brainstorming technical architectures and product features to building full-scale integrations, you’ll take full ownership of complex, high-impact challenges—helping clients achieve their goals and push the limits of what’s possible. What you will do: - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customer’s engineers and executives teams to ensure the best use of ElevenLabs’ technologies. - Drive real innovation by using your coding and technical skills to solve complex problems, making a real difference for our customers. REQUIREMENTS - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python and strong software development knowledge, inclusive of a deep understanding of software development, software architecture, and APIs integration. - Excellent communication and problem-solving skills. Especially in terms of ability to summarize complex technical knowledge and using logic in pursuing optimal solutions. - Multi-lingual: Mandarin/English LOCATION As we build out a team in the Singapore office, the successful candidate is preferred to be based within Singapore. We will also consider candidates based in Singapore who can travel frequently to meet with customers on-site in the region and collaborate in person with the Singapore team.
Senior Product Manager - Database AI Optimization
Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. We’re looking for an experienced product manager passionate about joining this mission to lead this product opportunity. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products. - Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc - Define, build and launch the next generation of database monitoring and optimization capabilities for our customers - Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource. - Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across them, and help customers identify incidents root cause and navigate through telemetry faster - Partner with marketing and cross functional teams including sales, customer success and support teams, to define Go-To-Market plans and strategy for database monitoring, data observability and APM features - Continuously evolve the product practice and the product itself with the latest technologies, including AI tools and agents Who You Are: - You’re comfortable using AI tools for research and building - You have experience building AI products and evals including manual evaluations, golden data sets, LLM as judge, to measure and improve AI product quality - You have 5+ years of experience as a Product Manager in cloud or developer tools, ideally including intimate experience with databases - You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike - You are customer focused with high quality standards for your products - You are passionate to work in a high growth and impact environment to build new products and scaling existing ones Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: <li&g
Principal, Applied AI Enablement, Legal
Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. The Role The Principal, Applied AI Enablement role sits at the intersection of legal practice and applied AI — closer to an in-house R&D function than a traditional legal team role. This is a role for a tech-forward, innovative, engineer or product builder. You will identify where AI can do legal work that humans do today — or work humans simply cannot do at scale — prototype and ship AI tools and agents to handle it, and iterate with lawyers in the loop until those tools become a real part of how the function operates. This role is about applying AI to the substance of legal work: the research, analysis, judgment calls, contract review, and regulatory tracking that lawyers do every day. This is not a role about optimizing existing processes or rolling out off-the-shelf legal tech. It is a role about building things that didn't exist before — prototyping quickly, evaluating rigorously, and shipping the ones that work. The role sits within Tinder Legal. You'll work with Tinder Legal leadership and team as your primary domain experts and end users, and partner with engineering, product, and other technical teams where deeper infrastructure is needed. Where capabilities you build prove valuable, there is potential to extend them more broadly — first to other Match Group Legal teams, and ultimately across the portfolio. What You'll Do Identify the highest-leverage AI opportunities Spend time inside Tinder Legal and relevant Match Group Legal teams to understand how legal work happens today — product counseling, marketing reviews, contract review and negotiation, and regulatory compliance — with a focus on where AI can do meaningful legal work, not just where workflow improvements would help. Develop a clear point of view on what AI is genuinely capable of in a legal context today, what's just around the corner, and where human lawyers should remain firmly in the loop. Build the case for which opportunities are worth investing in and which aren't, based on impact, feasibility, and legal risk. Build, prototype, and ship AI tools and agents Design and build AI-powered tools — assistants, agents, retrieval systems, evaluators — that handle real legal work end-to-end or in close collaboration with legal team members. Configure and orchestrate these tools across the data and systems they need to be useful (document repositories, knowledge bases, relevant internal sources), working within IT, Security, and Legal Ops-governed infrastructure — not around it. Treat shipping as the starting line: measure quality against human baselines, debug edge cases, tune prompts and pipelines, and iterate as the underlying models and the business evolve. Train, launch, and iterate with the Tinder legal team Work directly with the legal team and end users to onboard them to new tools and workflows, gather feedback, and make those tools genuinely useful — not just technically functional. Develop the documentation, examples, and attorney-facing training that helps legal team members understand both how to use AI tools and where their judgment must remain the decision-maker. These resources focus on substantive AI capability — how to use AI to do legal work better — and are distinct from Legal Ops resources on legal department systems and workflows. Build evaluation harnesses and quality metrics — accuracy against human baselines, hallucination rates, coverage, latency — and use them
Platform Engineering Manager, Forward Deployed Eng...
About the team OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products. The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders. About the role As the Engineering Manager for Platform FDE, you will lead a small team that acts as a multiplier for the broader FDE org. Your mandate is to increase the rate at which customer-grounded ideas become durable, generalizable platform bets, by providing hands-on product and engineering leverage to customer-tagged pods. You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed Platform FDE capacity where they can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like. This role requires a combination of engineering leadership and strong product-oriented judgment. You will manage a focused portfolio of platform incubation work with explicit hypotheses, success criteria, and measurable adoption outcomes, and you will be accountable for translating deployment signal into reusable capabilities that can be handed off cleanly to long-term owners. You will be expected to lead through influence across multiple stakeholders, uphold a high technical bar, and establish clear responsibility boundaries between your team, customer pods, and partner organizations. This role is based in San Francisco and is not a travel role. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically In this role you will - Guide a focused portfolio of platform bets: Steer direction for a small number of high-signal problems, with clear hypotheses, success criteria, sequencing, and measurable adoption outcomes. - Build and validate with customers: Ensure the team ships working software with design partners, instruments usage and outcomes, and iterates quickly based on real-world adoption and constraints. - Co-develop with long-term owners: Partner early with B2B Platform (and other durable owners) to align on architecture, interfaces, security/governance requirements, and handoff criteria, staying engaged through validation and the path to scale. - Maintain a high engineering bar: Set and enforce standards for design, code quality, testing, observability, and operational readiness appropriate for enterprise use. - Grow and develop the team: Coach and develop engineers through direct feedback, clear expectations, and durable team mechanisms that reinforce execution and ownership. - Operate with high judgment and influence: Make clear tradeoffs under ambiguity, communicate decisions crisply across stakeholders, and drive outcomes through partnership rather than formal authority. You might thrive in this role if you - Bring 8+ years of engineering experience , including 2+ years managing high-performance engineers - Are deeply customer-obsessed and can partner credibly with senior stakeholders while keeping a high bar for delivery and technical rigor. - Naturally act as a shepherd: you elevate and refine others’ ideas, sharpen hypotheses, and make disciplined “scale vs pause” calls with clear reasoning. - Excel at cross-functional execution , forming tight partnerships with engineering, product, research, and GTM teams to deliver outcomes without needing formal authority. - Can build inclusive team mechanics – rotations, mentorship, and scoped ownership – that increase collaboration across teams rather than creating a gated platform group. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Machine Learning Engineer, Ads Optimization
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description This role sits in the Ads Optimization organizations, which are responsible for the health and performance of Reddit’s ads marketplace. We focus on: - Designing the auction and bidding mechanisms that decide which ads show to which users and at what price. - Building optimization systems that help advertisers achieve their goals (e.g., conversions, ROAS) under budget and delivery constraints. - Ensuring marketplace quality by improving user experience with ads, fighting ad blindness, and increasing valuable ad opportunities on the platform. You’ll join a set of tight-knit engineers working on high-impact, internet-scale problems at the core of Reddit’s revenue engine, collaborating closely with Product, Data Science, and Infra partners across Reddit Ads. Role Description We are hiring Machine Learning Engineers (IC4) to build and evolve the auction, bidding and budgeting systems that power Reddit Ads. In this role, you will: - Design and implement optimization algorithms for auctions, bidding strategies, and pacing that balance advertiser performance, user experience, and marketplace efficiency. - Own systems end-to-end: from problem formulation and algorithm design to experimentation, production deployment, and ongoing iteration. - Work across Ads Optimization (bid strategies, budget optimization, pacing) to deliver measurable wins for advertisers and Redditors. We are hiring a Senior (IC4) level: - IC4 MLEs lead more complex or multi-quarter initiatives, set technical direction for key parts of the bidding/auction/pacing stack, and mentor other engineers while remaining hands-on. Responsibilities Auction, Bidding, and Pacing Systems - Design and implement models and policies that: - Compute bids for different optimization objectives (e.g., CPC, CPA, ROAS-based strategies). - Pace budgets smoothly over time across accounts, campaigns, and ad groups while preventing overspend or underspend. - Allocate spend and auction participation intelligently across segments, surfaces, and time zones. - Translate product
Staff Machine Learning Engineer, Notifications Rel...
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. Reddit is home to some of the most valuable and engaging conversations on the internet. As a Staff Machine Learning Engineer on Notifications Relevance , you'll serve as a technical leader for one of Reddit's highest-leverage ML systems, helping millions of users discover relevant content, communities, and conversations every day. You'll drive the strategy, architecture, and execution of large-scale recommendation systems spanning targeting, budget optimization, retrieval, ranking, measurement, and emerging LLM-powered experiences. This role offers the opportunity to shape the future of engagement and retention at Reddit while pushing the boundaries of personalization and machine learning at massive scale. 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 Who You Are - 8+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred. - Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance. - Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.</l
NYC Startup Partnerships
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for someone to own New York City for ElevenLabs' startup program, one of the fastest-growing partnership motions in AI. ElevenLabs' startup program is already a meaningful driver of enterprise revenue. If you're successful, every promising startup looking to build conversational agents will join our startup program and build with ElevenLabs. You'll own New York Startup partnerships end-to-end. As the dedicated lead for NYC and the broader East Coast corridor, you'll build relationships with the VCs, accelerators, and ecosystem partners shaping the next wave of AI startups, and nurture them through deep community engagement online and in-person. This is a perfect opportunity for an ex-founder, VC, or driven operator looking to own a high-impact area at one of the fastest-growing companies in the world. WHAT YOU'LL DO - Own VC and accelerator partnerships across NYC and the broader East Coast ecosystem - Build relationships with the founders behind the highest-potential AI startups on the East Coast, drive visibility, and bring them into the program - Run a high-impact in-person presence in NYC and beyond: events, dinners, founder meetups, conference appearances, and ecosystem partnerships REQUIREMENTS - 2-5+ years in venture capital, founder or running startup partnerships at a fast growing startup - Excellent at relationship buildin
Engineering Manager, Agent Runtime Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment. Responsibilities - Own the technical strategy and roadmap, translating goals into concrete execution - Manage day-to-day execution of the team's work - Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment - Stay hands-on: build and ship the runtime platform and tooling - Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management - Build primitives that are composable and reusable across various agents - Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence - Collaborate cross-team, supporting internal teams bringing up their agents You May Be a Good Fit If You: - Have 10+ years building and operating large-scale platforms or distributed systems - Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale - Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment - Have experience with container or VM orchestration at scale - Are obsessed with productivity and transforming how we work - Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: - Engineering management experience on top of a strong IC track record - Experience with harness engineering - Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control - Experience with capacity planning and utilization across multiple cloud providers - Experience working with researchers, engineers and other functional roles Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $405,000 -
Member of Technical Staff (Software Engineer, Back...
ABOUT THE ROLE The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation. KEY RESPONSIBILITIES - Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements. - Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls. - Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth. - Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems. - Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities. - Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable. QUALIFICATIONS - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). - Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures. - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies). - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment. - Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers. - Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Machine Learning Engineering Manager - Ads Engagem...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team overview: The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. This role offers a unique opportunity to shape and scale Reddit’s Ads prediction models, in alignment with our product goals and driving SoTA modeling advancement. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Responsibilities: - Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives. - Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. - Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence. - Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. - Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Candidate Profile: The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have: - People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth. - Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives. - Drive Technical Execution: Oversee the model development lifecycle from ideati
Senior Corporate Development Lead, AI
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. - Attend meetups, conferences, and ecosystem events to expand Datadog’s visibility and pipeline opportunities. - 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. - Collaborate on integration planning with cross-functional partners after acquisitions or strategic deals. - 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. Benefits and Growth:</strong&
Commercial Counsel, EMEA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA. You'll serve as a strategic legal partner to our sales teams, supporting complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments, from SMB to large enterprises. In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region. Key Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts - Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies - Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region Minimum Qualifications - Law degree and qualification to practice law in a relevant EMEA jurisdiction - Experience drafting, reviewing, and negotiating commercial agreements, such as enterprise customer contracts or SaaS agreements - Strong legal writing skills, with the ability to translate legal concepts for non-lawyer audiences Preferred Qualifications - Exposure to commercial contracts, SaaS agreements, or technology transactions - In-house experience at leading technology companies with EMEA operations - Experience with AI, machine learning, or other experimental technologies in commercial contexts - Experience supporting sales teams across diverse client segments in deal negotiations - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Curiosity about AI technology and AI policy, and a commitment to responsible AI development - A collaborative, low-ego approach and a willingness to roll up your sleeves and pitch in where needed - Comfort working in fast-paced environments with shifting priorities - 4+ years of legal experience Role-specific policy: For this role, we expect all staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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 includ
Finance Systems Engineer, Revenue
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 Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI. Responsibilities: - Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio - Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications - Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands - Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions - Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself - Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency - Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently - Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do - Become the go-to domain expert
Backend Software Engineer, ChatGPT ImageGen
About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal image models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows. We work at the intersection of research, infrastructure, and product to build the systems that power image generation at global scale. Our team partners closely with researchers, product engineers, designers, and platform teams to bring state-of-the-art image capabilities to millions of users while continuously pushing the boundaries of what AI-powered creation can do. About the Role We are looking for an experienced Backend Engineer to join the Image Generation team and help build the systems that power image creation and editing across ChatGPT. You'll work on the core backend infrastructure that enables users to generate, edit, and iterate on visual content using cutting-edge multimodal AI models. This includes building highly scalable services, orchestration systems, APIs, storage platforms, and distributed infrastructure that support billions of image generations and editing workflows. You'll partner closely with product, research, and mobile teams to transform breakthrough AI capabilities into reliable, performant experiences used by millions around the world. In this role, you will: - Design, build, and operate backend systems that power image generation and image editing experiences in ChatGPT. - Develop scalable APIs, services, and infrastructure that support multimodal AI workflows. - Optimize reliability, latency, throughput, and cost across large-scale distributed systems. - Partner with researchers to productionize new image generation capabilities and bring them to users quickly and safely. - Collaborate closely with Android, iOS, web, and full-stack engineers to build seamless end-to-end product experiences. - Drive technical architecture decisions across storage, serving, orchestration, and platform systems. - Use data and experimentation to identify opportunities for improving user experience, performance, and system efficiency. - Help shape engineering culture through technical leadership, mentorship, and operational excellence. You might thrive in this role if you: - Have experience building and operating large-scale backend or distributed systems. - Have strong proficiency in modern backend technologies and cloud-native architectures. - Enjoy working across the stack and partnering closely with product and research teams. - Have experience designing APIs, service-oriented architectures, and highly reliable production systems. - Are highly analytical and enjoy using data to inform technical and product decisions. - Have a strong sense of ownership and are comfortable navigating ambiguity in fast-moving environments. - Are excited by multimodal AI and the opportunity to help define the infrastructure powering the future of visual creation. - Have a deep curiosity about how cutting-edge AI research can be translated into products that reach millions of users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Head of Logistics
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. Infrastructure Expansion holds the majority of Anthropic's deployed capital assets and moves them through a global network of warehouses, integrators, and field sites. The freight ranges from a tray of optics to a generator on a lowboy; one lost shipment cascades into a slipped site. You'll build and lead this function. The job has four centers of gravity: process and SOP engineering so a thousand contractors execute the same way at every site; warehousing and inventory management , including being the business owner for the asset‑lifecycle platform our software team is building; shipping and logistics ops for high‑value equipment with real chain‑of‑custody and security; and heavy/oversized material movement — generators, switchgear, integrated racks — from factory to pad. You're building the team and the playbook, and you're measured on whether the right thing shows up at the right dock, on time, intact, every time. What you'll do - Own process and SOP engineering. Author the procedures that govern receiving, inspection, kitting, integration, ship‑out, install, and RMA — and the QA/audit loop that proves they're being followed. Turn field incidents into process changes, not memos. - Run warehousing and inventory. Stand up the warehouse network (3PL vs. in‑house), the sparing model that keeps every PoP inside its replacement SLA, and cycle‑count/reconciliation discipline that keeps book and floor in agreement. - Be the business owner for the asset‑lifecycle platform. Partner with the Core Services software team building our inventory/ALM system — define the data model, state machine, and EDI/WMS integrations it needs; you decide what "correct inventory" means, they make the system enforce it. - Own high‑value shipping operations. Carrier selection and management, lane risk assessment, GPS/tamper traceability, named handoff owners, insurance and claims — so when something goes missing we know where, when, and who before it costs us a site date. - Own heavy and oversized logistics. Generators, switchgear, fully‑integrated racks: route surveys, permits, rigging and crane coordination, shock/vibe acceptance criteria, and the site‑receiving plan on the other end. - Run trade compliance and reverse logistics. ECCN/ITAR classification and licensing across jurisdictions; RMA, repair/refurb, decommission and disposition. - Build the team. Hire and lead warehouse ops, logistics coordinators, process/QA engineers, and trade compliance. This is a build‑the‑function role. You may be a good fit if you - Have run global hardware logistics at hyperscaler, large OEM/ODM, telecom, or energy‑infra scale — multi‑site warehouse network, 3PL management, high‑value and oversize
Research Intern, PhD or Master's (Contract)
At the Riot Singapore Efficiency team, we're pushing the frontiers of how Generative AI can power the next generation of creativity and game development. We leverage cutting-edge machine learning approaches to reimagine how art, animation, and design content are produced and enhanced across our games. We are seeking a passionate and skilled intern (PhD or Master's level) to join our R&D efforts. As a Generative AI Research Intern, you will explore foundational or applied challenges in generative modeling and contribute to building state-of-the-art systems that empower creatives. Please note that Riot Games does not offer relocation packages for this position. You need to be able to work legally in Singapore, without Riot Games’ sponsorship, to be considered. Responsibilities: - Investigate and prototype advanced generative models targeting creative pipelines. - Collaborate with interdisciplinary stakeholders to ensure research aligns with real-world constraints and goals. - Share results through internal demos, documentation, or technical writeups. Required Skills: - Currently pursuing a Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. - Strong theoretical background in machine learning and generative modeling. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Familiarity with models such as diffusion and score-based generative models, flow matching, GANs, VAEs, and Transformers. - Excellent communication and documentation skills. Desired Skills: - Experience with multimodal modeling, controllable generation, or diffusion-based frameworks. - Interest in games, digital creativity tools, or player-facing applications. - Publications or work in submission at top ML/AI/CV/CG conferences (NeurIPS, ICLR, CVPR, ICML, SIGGRAPH). Our Perks: - Mentorship from senior researchers and engineers. - Access to internal tools, datasets and compute for experimentation.
Senior Software Engineer, GenAI
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. Responsibilities: - Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers - Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal - Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions - Own core systems critical to our contributor platform, with direct impact on Scale’s GenAI data pipeline and business outcomes - Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency - Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence - Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements: - 5+ years of software engineering experience, ideally in high-growth, product-focused environments - Proven track record of shipping production systems at scale - Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability. - Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling - Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal - Strong product sense and ability to translate ambiguous problems into technical solutions - Comfortable working in a fast-paced, high-ownership environment with a bias toward execution <
Expert Gameplay AI Software Engineer
2K Sports Lab Who We Are Founded in 2023, 2K Sports Lab is the newest stand alone studio at 2K looking to push game development boundaries to bring 2K's next groundbreaking sports franchise to life. We're building a world-class team at our new Vancouver, BC location where our goal is to deliver an exceptional experience through bold ideas, technical excellence, and creative collaboration. We're seeking passionate and driven professionals across all areas of game development to help shape this ambitious vision. If you’re interested in tackling unique challenges and think you have what it takes to level up our team, we encourage you to apply! What We Need We’re looking for an Expert Gameplay AI Software Engineer to help build the intelligence behind our next AAA sports title. You’ll design and implement AI systems that drive team-based decision-making, play selection, positional awareness, and realistic athletic behavior in Unreal Engine 5. We need someone who combines deep algorithm expertise with a passion for team sports and a collaborative approach to working with designers, animators, and gameplay engineers. What You Will Do ● Architect and build AI systems for team-based sports gameplay in UE5 ● Design decision-making frameworks for play selection, formations, and tactics ● Develop positional awareness and spatial reasoning for AI-controlled players ● Optimize AI performance for multi-threaded, performance-critical environments ● Partner with designers, animators, and gameplay engineers to deliver features ● Mentor engineers and contribute to team-wide technical growth ● Write clean, performant, and well-tested C++ code ● Conduct code reviews to uphold quality and consistency What Will Make You A Great Fit ● 8+ years of software engineering experience in game development ● Expertise in C++ and Unreal Engine 5 ● Strong algorithm and data structure design skills ● Experience with multi-threaded programming in performance-critical environments ● Deep understanding of team-based sports and competitive game dynamics ● Excellent communication and collaboration skills across disciplines ● Bachelor’s degree in Computer Science or equivalent experience ● Passion for playing or watching sports Beneficial Qualifications ● Track record of shipping AAA sports or simulation titles ● Familiarity with modern console hardware and optimization techniques The pay range for this position in British Columbia at the start of employment is expected to be between $114,300 and $169,140 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business cons
Data Center Design Execution Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Anthropic’s Infrastructure team is responsible for designing, delivering, and scaling the physical compute environments that power our AI research and products. The team sits at the intersection of internal customers and an ecosystem of external engineering, construction, and development partners. From site selection through design, construction, commissioning, and ongoing operations, Infrastructure ensures that Anthropic’s datacenter footprint keeps pace with our research ambitions. About the Role We are looking for a Design Execution Manager to own the bridge between Anthropic’s technical requirements and the third-party partners who bring our datacenters to life. This is not a pure design role or a pure project management role—it lives in the critical space between the two, ensuring that design follows the requirements, and that technical intent survives every handoff from concept through turnover. Scope spans the full design lifecycle: concept, schematic, permitting, development, construction administration, commissioning, and operations. The right candidate thrives in environments where nimble but structured processes need to be built, not just followed, and is energized by the challenge of standing up execution frameworks across a rapidly growing portfolio of mission-critical facilities. Responsibilities Design Execution & Partner Oversight - Drive execution of Anthropic’s technical requirements for third-party datacenter delivery partners, ensuring design intent is consistently translated from BOD through construction documents. - Define the design execution framework—deliverable requirements, review gates, and quality standards—for each partner engagement. - Drive accountability for partner deliverable quality across milestones, evaluating deliverables for cross-discipline consistency and alignment to Anthropic’s requirements. - Partner with external design teams and stakeholders to execute design document development and issuance across all project phases. Change Management & Technical Continuity - Own the design change management process across projects, ensuring technical decisions are documented, resolved, and implemented through construction. - Review and develop responses to contractor RFIs, maintaining design intent while accommodating field conditions. - Own technical continuity across design, construction, commissioning, and turnover, driving alignment between internal leads on phase transition standards and acceptance criteria. - Support project closeout and as-built documentation processes. Constructability & Risk Management - Facilitate constructability review processes between design and construction teams, surfacing integration risks raised by discipline leads for resolution, maintaining alignment between design intent and field execution as conditions evolve. - Drive risk identification and mitigation through partner QA/QC processes, across the design and construction lifecycle. - Direct and supervise external partners and owners re
Growth Allocations Manager
ABOUT THE ROLE The Growth Operations Manager owns one of the most operationally critical functions in Scale AI's India org: matching available contributor supply to active project demand in real time. This is a high-stakes, high-speed role that requires equal parts analytical rigor and operational execution. You will lead a team responsible for ensuring that every active project has the right contributors allocated at the right time — and that Scale's India hours targets are consistently met. This role demands someone who thrives in complexity. Allocations sits at the convergence of supply data, project pipelines, contributor availability, and quality signals. You will build the systems, dashboards, and processes that make this function run — and you will be accountable for the outcomes they produce. WHAT YOU'LL DO Allocations & Supply Operations - Own end-to-end contributor allocation across all active India projects — matching supply to demand across coding, expert, multimodal, and language verticals - Monitor real-time allocation rates, identify gaps, and take immediate action to course-correct - Manage allocation queues and prioritization logic as project volumes and contributor pools scale - Drive India's allocation rate targets, with accountability for hitting weekly and monthly throughput goals Analytical Systems & Tooling - Build and maintain dashboards and monitoring systems that give the team — and India ops leadership — real-time visibility into allocation health, utilization, and risk - Write and maintain SQL queries to pull, clean, and analyze operational data across contributor, project, and hours datasets - Develop reporting frameworks that surface actionable signals: underutilization, demand-supply mismatches, quality-based allocation risks - Proactively identify trends and anomalies before they become operational problems Process Design & Operational Excellence - Design and document allocation workflows, escalation paths, and decision frameworks that can scale with the team - Build processes from scratch where none exist — this team is growing fast and many systems are still being defined - Drive continuous improvement: identify inefficiencies in current allocation processes and implement fixes with measurable impact - Ensure allocation decisions are auditable and consistent across projects and verticals Team Leadership - Manage and develop a team of Allocation Specialists, setting clear goals and holding the team accountable to performance standards - Coach team members on analytical thinking, operational decision-making, and tool proficiency - Build team capacity to handle increasing volume and complexity as India's project portfolio expands Cross-Functional Partnership - Work closely with Growth Recruiting to align incoming contributor supply with current and forecasted demand - Partner with Project Leads and Onsite Ops to understand project-level requirements and translate them into allocation actions - Collaborate with India ops leadership on capacity planning, forecasting, and strategic supply decisions - Flag risks and blockers early — allocation issues have immediate downstream impact on hours and project SLAs WHAT WE'RE LOOKING FOR Required - 4+ years of experience in operations, supply chain, workforce manage
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