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Build and advance agentic machine-learning systems for multimodal creative tasks, with a focus on video understanding, reasoning, control, and tool use. The role requires strong production ML or agent-pipeline experience and deep knowledge of modern LLM techniques.
Build and operate production software, APIs, and automation for large-scale bare-metal and GPU infrastructure. The role requires 8+ years of software or infrastructure engineering experience, strong Python and Linux skills, and expertise in provisioning, lifecycle management, and reliability.
Leads and develops a customer-facing Applied AI Engineering team delivering production AI systems and sustained enterprise adoption. The role requires strong technical judgment, people leadership, executive communication, and experience scaling complex AI or software implementations.
Leads and scales a customer-facing Applied AI Engineering team serving high-growth startups, guiding customers from experimentation to production while building repeatable deployment mechanisms. Requires technical depth in AI/ML platforms and experience leading teams in startup-focused, ambiguous environments.
Leads and builds a Forward Deployed Engineering team while personally delivering customer-facing AI solutions. Requires 12+ years across software engineering, architecture, and customer-facing engineering, plus technical leadership, full-stack development, and distributed-systems expertise.
Build and lead the revenue operations function for a US go-to-market organization spanning direct enterprise and partner-led sales. The role owns forecasting, attribution, territory and compensation design, CRM and data infrastructure, deal desk processes, and executive reporting.
Drives net-new adoption of Anthropic’s AI products among Japan’s digital-native technology companies, building a greenfield territory and managing the full sales cycle. Requires 8+ years of sales experience in Japan, strong outbound hunting ability, technical-buyer engagement, and Japanese and English fluency.
Leads high-impact consulting projects and client engagements for AI data solutions, coordinating expert teams and shaping dataset specifications for foundation models. Requires 3+ years in management or corporate strategy, strong quantitative problem-solving, client communication, and operational execution skills.
Leads final quality review for technical and AI training datasets, improves QC automation and processes, and reports quality metrics to leadership. Requires 3+ years in a technical role, programming proficiency, rigorous evaluation skills, and experience leading QA/QC functions.
Leads enterprise data acquisition strategy, negotiates high-value data-purchase agreements, and manages vendor relationships, compliance, budgeting, and forecasting. Requires at least 3 years of relevant experience, people leadership, and a demonstrated record of closing seven-figure data deals.
Leads cross-functional projects that create AI training data solutions for frontier AI organizations, coordinating specialized experts and owning delivery from scoping through execution. Requires at least three years in chemical, biomedical, biotech, pharma, or related life-sciences engineering and strong quantitative and leadership skills.
Build and ship AI-powered web products end to end, translating emerging model capabilities into user experiences while owning architecture and collaborating with research, product, and design teams. Requires 5+ years of full-stack software engineering experience.
Design and deliver AI-agent automations for enterprise customers, from workflow discovery and prompt engineering through integration and optimization. Requires 2–3 years in a client-facing technical role, strong API and automation experience, and the ability to manage delivery and communicate with technical and executive stakeholders.
Build and operate a Kubernetes-native control plane for provisioning, scheduling, self-healing, and optimizing GPU inference infrastructure. The role requires strong software engineering, durable workflow orchestration, reconciliation systems, event-driven architecture, and platform API experience.
Design and scale platform-level systems that create consistent experiences across complex products, platforms, and interaction models. The role requires 6+ years of product, UX, or design systems experience, strong accessibility and systems thinking, and a bachelor’s degree in engineering or design.
The Business Recruiter will own full-cycle hiring for business and operations functions, building elite talent pipelines, partnering with executives, and closing high-caliber candidates. The role requires 2–5+ years of agency or in-house recruiting experience and comfort in a fast-paced, five-day in-office environment.
Manages corporate card activity, employee expenses, vendor and subscription spend, budget tracking, and reporting. This entry-level role requires strong organization, spreadsheet skills, attention to detail, and 0–2 years of finance, accounting, operations, or related experience.
Build and lead the Model Performance organization’s technical program framework, coordinating model releases, inference optimization, and cross-functional execution. The role requires deep technical program management experience and credibility with model-serving and performance engineering teams.
Leads architecture, development, and optimization of global Order-to-Cash revenue systems, integrating billing, ERP, sales, and financial platforms. The role requires extensive revenue systems experience, strong data engineering and API expertise, and the ability to lead ERP transformations and technical teams.
Owns enterprise revenue through Japan’s system integrator ecosystem by developing strategic partnerships, co-selling motions, and enablement programs. Requires 8+ years of enterprise sales or partner management experience in Japan, strong SIer relationships, and fluency in Japanese and English.
Leads cyber-focused AI misuse enforcement, managing analysts and contractors while developing detection and mitigation strategies for attacks, malware, and exploitation. Requires people management, cybersecurity expertise, high-volume abuse enforcement, data analysis with SQL or Python, and cross-functional risk communication.
Own complex customer deployments from onboarding through expansion, coordinating customers with engineering and product teams. The role requires project or implementation experience, strong communication, and technical fluency with APIs, webhooks, and cloud tools.
Senior commercial counsel will advise sales and procurement teams, negotiating SaaS and other enterprise agreements while building scalable contracting processes. The role requires a U.S.-admitted lawyer with 7+ years of commercial contracting experience and familiarity with technology, privacy, IP, or AI issues.
Leads legal strategy and execution for Cerebras’s M&A, investments, financing, asset, infrastructure, and real estate transactions. The role requires 12–18 years of complex corporate transactions experience, a J.D., bar admission, and both law firm and in-house experience.
Drives new business, revenue growth, and expansion across strategic digital-native enterprise accounts, owning complex sales cycles and executive relationships. Requires 10+ years of enterprise sales experience, strong consultative selling and forecasting skills, and the ability to translate emerging technology into business value.
Supports analytics, KPI tracking, reporting, and structured data infrastructure across operational teams. The role maintains datasets, queries, dashboards, and recurring reports while helping stakeholders measure workforce and contractor performance consistently.
Leads and scales an enterprise SDR organization by hiring, coaching, defining outbound strategy, and owning pipeline targets. The role requires at least two years of SDR management experience, enterprise account expertise, and proficiency with modern sales tools and data-driven team management.
Leads global AI, platform, and online safety regulatory compliance for products and operations, partnering with technical and business teams to build scalable governance and controls. Requires 10+ years of technology-focused legal experience, deep knowledge of major AI regulations, and California practice qualification.
Leads partner marketing strategy and commercial go-to-market programs for a new AI hardware ecosystem. The role requires 10+ years in product, partner, ecosystem, or related marketing and experience scaling partnerships and cross-functional launches.
Commercial Account Executive responsible for sourcing, qualifying, and closing outbound deals while helping technical teams evaluate and adopt GenAI products. Requires at least four years of sales, business development, or customer-facing experience and a strong execution-oriented approach.
Leads global communications strategy for cybersecurity, covering products, research, threat intelligence, policy, and high-visibility issues. Requires 12+ years of technical communications experience, strong media relationships, and the judgment to advise executives in high-scrutiny environments.
Leads US AI regulatory counseling, compliance-program design, regulatory deliverables, and non-contentious engagement with regulators while supporting global frontier-AI compliance. Requires a JD, US bar membership, technology-regulation experience, and preferably 8–12 years of regulatory legal experience.
Own the multi-cloud product strategy for model safeguards, fraud defenses, and compliance controls across AWS, Google Cloud, and Microsoft platforms. The role requires extensive product leadership experience, strong cross-functional execution, and fluency in security, policy, and enterprise partner requirements.
Build and operate AI-powered outbound, data, and automation systems that generate qualified B2B pipeline. The role requires technical GTM experience, strong email deliverability expertise, and proficiency with APIs, integrations, data workflows, and automation tools.
Build and scale Avoca’s paid acquisition and broader growth engine, owning strategy, experimentation, measurement, and pipeline outcomes. The role requires 5+ years of performance or growth marketing experience, deep Meta expertise, strong paid search skills, and a data-driven, hands-on approach.
Works directly with customers to optimize API usage, deeply understanding their products and use cases while acting as an API power user to drive impact and scale.
Leads OpenAI’s global PwC alliance, setting strategy, executive governance, joint go-to-market motions, and customer delivery priorities. Requires deep PwC partnership experience, enterprise technology fluency, commercial judgment, and the ability to align complex organizations without formal authority.
Leads Circle’s creative narrative and direction across launches, campaigns, advertising, video, events, and partnerships. The role requires exceptional storytelling, writing, creative judgment, visual fluency, and the ability to influence cross-functional teams without formal authority.
Own startup-focused content campaigns by partnering with founders and technical teams, turning their products and lessons into compelling stories, guides, demos, and campaigns. The role requires 4+ years of marketing experience, strong storytelling, and familiarity with startup or developer audiences.
Manages music-industry partner relationships and deal administration, coordinating with Legal, Product, and other teams to operationalize agreements and resolve partner needs. Requires 5+ years of cross-functional project experience and knowledge of music rights and digital music ecosystems.
Supports international growth of the Aechelon simulation portfolio through specialist selling, customer engagement, complex pursuit support, and cross-functional coordination. Requires at least five years of customer-facing sales or business development experience in international, enterprise, government, or defense environments.
Build and operate high-performance distributed inference infrastructure serving Claude at global scale, including routing, orchestration, autoscaling, deployment pipelines, and accelerator integration. The role requires significant software engineering experience with distributed systems; experience in large-scale ML infrastructure is preferred.
Sources, vets, and onboards specialized experts to build the supply side of an AI data-services business. The role requires 2–5 years of high-volume recruiting experience, sourcing-tool expertise, AI workflow fluency, and ownership of funnel metrics.
Sources, vets, and onboards specialized AI annotators and domain experts while building scalable sourcing channels and maintaining an engaged expert roster. The role requires 2–5 years of high-volume recruiting experience, sourcing-tool expertise, and comfort with AI workflows and funnel metrics.
Leads end-to-end product design for AI and data-intensive software, creating intuitive workflows, design systems, and interfaces that make complex ML concepts actionable. Requires 8+ years of product design experience, strong research and interaction design skills, and a software interface portfolio.
Conduct an end-to-end research project on speech and audio machine learning, training and evaluating models on large-scale telephony data and potentially advancing results toward production. Candidates should be pursuing a master’s or PhD or have equivalent research experience, with hands-on audio modeling and PyTorch expertise.
Leads policy design teams defining and mitigating consumer harms across AI products, partnering with research, engineering, product, legal, and external stakeholders. Requires leadership experience, deep consumer-harm expertise, frontier-model fluency, and strong judgment in high-consequence decisions.
Build and ship backend and infrastructure capabilities across AI inference, model serving, and LLM fine-tuning for EMEA-specific needs. The role requires strong software engineering, Python and systems-language skills, production ownership, and first-principles problem solving.
Own the planning, production, QA, and launch of web experiences across OpenAI.com. The role requires hands-on CMS experience, strong project management, attention to detail, and effective cross-functional collaboration.
Own strategic enterprise AI accounts from post-sale deployment through adoption, expansion, and renewal while supporting pre-sale pilots. The role requires strong technical credibility, first-principles problem solving, commercial ownership, and at least three years of relevant experience.