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Location: London Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Attio is an AI-native platform trusted with our customers' most sensitive data - and keeping that data secure is foundational to everything we build. As we scale, so does the challenge: a large multi-tenant SaaS platform, AI-driven product features that introduce entirely new attack surfaces, and an engineering team shipping fast with AI-assisted development. We're looking for a Security Engineering Lead to build and lead Attio's Product Security function, spanning application security and security operations. You'll work alongside our Engineering Leadership to make Attio secure by design, lead the response when things go wrong, and recruit a world-class team of Security Engineers and SecOps practitioners. This is a rare opportunity to define how security works at a company operating at the frontier of AI. This is a hands on engineering role with team leadership responsibility over our growing product security function. You will not be responsible for GRC, we want you focussed on building. WHAT YOU’LL DO - Build and lead Attio’s Product Security function. Secure Attio’s large-scale, AI-native SaaS platform, and the sensitive customer data on which it operates. - Work with Engineering Leadership peers to ensure that Attio is secure by design. - Understand and mitigate the unique risks and attack vectors associated with AI-driven product features, and AI-assisted software development. - Ensure that Attio is at the forefront of secure software development and operational practices. - Lead production security incident response; deeply understand security issues and their associated root causes and risks, create remediation plans, and drive to resolution. - Recruit and retain a world-class team of Security Engineers and SecOps practitioners. WHAT YOU’LL BRING - Full understanding of the Application Security landscape in a high scale, multi-tenant SaaS context. - Appreciation of the tools and techniques used to secure SaaS applications, through prevention, detection and remediation of security issues. Understanding of how to integrate those tools into an effective, scalable, cost-efficient program that delivers a secure service. - First-class incident response skills, through the entire incident lifecycle of detection, remediation, clean-up, and post-incident corrective action. - Experience leading a team with line management. You should be a mentor who can recruit, retain and develop a high-quality Product Security team that continues to deliver for the business as Attio scales. DESIRABLE - Background in software engineering - Experience of running an Application Security program in a high scale, multi-tenant SaaS context. - Experience of hiring and managing a team of Security Engineers, and working with cross-functional partners. - Experience of security certification and re-certification programs. - Project or program management experience. WHAT WE OFFER - Competitive salary of £120,000 to £150,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: Москва Мы создаем AI-продукты, которые трансформируют работу маркетинга: от анализа исследований и клиентских инсайтов до интеллектуального копайлота, помогающего маркетологам работать с данными, документами, контентом и креативами. Если вам интересно не просто подключать LLM по API, а понимать, как устроены современные AI-системы, проектировать их архитектуру и превращать возможности моделей в работающие продукты, — присоединяйтесь к нашей команде. Обязанности * разрабатывать AI-сервисы: от прототипа и выбора подхода до интеграции в существующий технологический ландшафт * проектировать взаимодействие LLM с инструментами, данными, API и другими сервисами * развивать AI-копайлота для маркетинга: работу с документами и презентациями, генерацию контента, поиск и анализ информации * исследовать новые LLM, существующие фреймворки и инструменты и определять, где они могут дать практический эффект в продукте * проектировать подходы к оценке качества AI-систем, проводить эксперименты и улучшать решения на основе результатов * участвовать в проектировании архитектуры AI-продуктов и агентных систем на базе современных LLM. Требования * высшее образование * опыт разработки на Python и опыт промышленной разработки AI/ML-систем от 3х лет * глубокое понимание того, как устроены современные LLM-системы: inference, context management, tool/function calling, structured output, caching, embeddings, RAG и agentic workflows * хорошее понимание system design: архитектуры современных приложений и сервисов, интеграционных паттернов, API, очередей, хранилищ, кэширования и подходов к построению систем * практический опыт создания продуктов и сервисов на базе LLM * опыт интеграции LLM в существующие системы и работы с внешними и внутренними API * опыт работы с векторным поиском и базами данных (Elastic, Chroma, Weaviate или аналоги) * навыки работы с LLM serving engines (vLLM, ollama, sglang) * понимание подходов к evaluation LLM-систем и способность превращать субъективное «работает хорошо» в измеримые критерии качества * особенно важно продуктовое мышление: способность работать с разного уровня проработки требованиями, самостоятельно прорабатывать детали решения, предлагать варианты реализации, быстро проверять гипотезы и вместе с владельцем продукта находить объективные критерии качества AI-продукта Будет плюсом: * опыт создания AI-ассистентов, копайлотов или агентных систем для B2B/enterprise-сценариев * опыт работы с LangGraph, LangChain, LlamaFactory, Unsloth или аналогичными инструментами * понимание маркетинговых процессов и задач маркетинга * публикации, open-source или собственные AI-проекты. Условия * гибридный формат работу, офис на Кутузовском д.32 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: London; Europe; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: North is Cohere’s AI workspace platform for enterprises: a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with workplace tools, applications, and business context, helping users delegate complex work, build automations, inspect outputs, and collaborate with AI in production environments. As North becomes more capable, one of the most important questions is also one of the hardest: how do we know whether the model is actually getting better for the workflows customers care about? This role is about being the voice of North inside modelling. You will build the evaluation systems, feedback loops, and applied modelling workflows that make sure model progress translates into better product outcomes for North users. You will work closely with North product teams, customer-facing teams, and modelling teams to define what “good” means across the product surface, turn real usage and product direction into high-quality evals, and use those evals to guide model selection, patches, and regular model updates. This is neither a pure research role nor a conventional product engineering role. It is a rigorous applied MLE role for someone who cares deeply about measurement, model behavior, and real-world product quality. You should be excited by the craft of building careful evals: evals that capture messy agentic workflows, reflect actual customer needs, resist superficial benchmark hacking, and provide useful signal for where the product and models need to go next. Please note: this team works closely across Europe and East Coast North America time zones. We are open to candidates who can collaborate effectively within those hours. Key responsibilities: - Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions. - Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals. - Create systems that continuously turn what North is learning from users, customers, and feature teams into evals, so measurement keeps pace with the product rather than becoming a static benchmark. - Be the voice of North inside modelling: extract clear insight from eval results, customer-derived data and product context, then turn model failures, capability gaps, and North-specific needs into actionable recommendations for the central modelling teams. Qualifications: - You have improved LLM-powered, agent-powered, or AI-product systems through evals, feedback loops, data curation, prompting, model adaptation, or model selection. - You care deeply about evaluation as a craft: representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence. - You have strong applied MLE judgment and can reason clearly about model behavior, eval validity, product outcomes, and production tradeoffs. - You are comfortable working close to users and product teams, while translating messy qualitative signals into measurement that other modelling teams can act on. - You are self-directed, practical, and motivated by open-ended problems where the right answer requires both technical depth and product understanding. - You care about making AI systems genuinely useful in real enterprise settings, not just better on abstract benchmarks. If some of the above does not line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

About Healz.ai Healz.ai is the only AI agent for people with cancer, growing 2-3x MoM and saving lives. Looking for a hands-on Head of User Acquisition. It's an opportunity to work with founders who went 0 to $20M ARR in 12 months three times (TechCrunch) and built 2 SOTA models, for healthcare and for self-driving cars. Investors include ex-Google DeepMind, the CEO of RTP Ventures, Citadel Securities. Oncologists from top-20 cancer hospitals worldwide. The role: Own marketing end-to-end and grow into CMO. Hands-on in the ad account from day one, owning CAC/LTV/payback while scaling Meta budgets $20k+ to $100k+ to $1M+ monthly at target ROAS. What you will do: — Own the metrics: CAC, LTV, payback, ROAS — Start by running the ad accounts yourself — Manage creators, build the creative pipeline, test hundreds of creatives — Hire the team as budgets grow What we are looking for: — You scaled b2c apps from 0 to $100k+ budgets, ideally past $1M — Meta is your main channel. Google Ads only is not a fit — B2C subscription products where the user pays on the website — Proven track record of owning the result, systems thinking — US-market experience; health/wellness a plus — Ambitious to grow with the company Format: Fully remote, independent contractor. Part-time to start, $2,000-3,750/month at ~20 hrs/week (equivalent to $5,500-7,500/month full-time), with the option to go full-time. How to apply: Apply through LinkedIn and answer the screening questions. Have your numbers ready: starting spend, peak monthly spend, channel, and the ROAS or payback target you were held to.

Location: Korea Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive in Korea who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Strong product intuition — able to learn a technical product deeply and clearly articulate its value to customers. Genuine curiosity about Voice GenAI. - A proactive, agile operator who moves fast rather than waiting for leads to come in. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in English and Korean and a deep understanding of the regional and cultural nuances #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Singapore based, we are looking for an experienced Senior Product Manager – AI Risk Strategy to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making. At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems. What You’ll Be Doing Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines. Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems. Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities. Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction. Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms. Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness. Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes. Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation. Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs. Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems. What We Look For In You Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline. 5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields. Strong experience designing transaction risk strategies, fraud detection systems or review platforms. Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies. Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus. Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines. Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains. Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems. Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration. Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes. Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions. Excellent problem-solving skills with a high level of ownership and execution. Fluent in both English and Mandarin to support cross-functional collaboration in a global environment. Nice to Haves Experience in cryptocurrency, fintech, payments, banking or internet risk control. Experience building AI-native products or AI-powered operational systems. Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks. Experience with A/B testing, strategy experimentation and online/offline model evaluation. Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk. Experience working with AI coding assistants or automation tools to improve product development efficiency. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London, UK; San Francisco, CA 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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; Poland; Germany; Romania; Netherlands; Spain Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome). Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions. Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering. Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries. System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center. Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths. Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements Experience: 5+ years of hands-on Salesforce engineering and architecture experience. Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations. Location: Based in Europe with strong alignment with European enterprise hours. Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines. AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications. Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP. Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

Location: South Africa Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. We’re looking for a YouTube Scriptwriter / Technical Content Writer who is passionate about AI, enjoys learning new tools, and can turn technical topics into clear, engaging YouTube content. This is a hands-on role : you’ll own both the scriptwriting and the screen-recording process for each video. You’ll research and actually use the AI tools you’re covering, write the script based on your experience, and record the footage needed to bring the content to life. You don’t need to know every AI tool from day one. What matters most is that you’re curious, willing to learn, comfortable experimenting with new technology, and able to work independently . Key Responsibilities Research AI tools, platforms, and workflows and turn them into engaging YouTube scripts Use and test the tools yourself before writing about them to ensure accuracy Write clear, structured scripts that make technical AI topics easy to understand Create content around AI tools, AI agents, vibecoding, Claude, Claude Code, and related technologies Use internal tools and workflows to draft, refine, and improve scripts Record clean screen recordings and B-roll that correspond to each section of the script Organize recorded footage clearly so editors can easily understand and use the material Communicate with video editors and respond promptly to questions or requests Produce approximately 4–5 videos per week Stay up to date with new AI tools, features, and trends Requirements Strong interest in AI and emerging technology Excellent writing and research skills Hands-on experience with AI tools such as Claude, Claude Code, ChatGPT, or similar Ability to create clear and organized screen recordings/B-roll Background as a Technical Writer or Content Writer Experience writing tutorials or educational content about software, APIs, developer tools, or AI Experience creating YouTube scripts or educational video content Experience using OBS or other screen-recording software

Location: Philippines Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. We’re looking for a YouTube Scriptwriter / Technical Content Writer who is passionate about AI, enjoys learning new tools, and can turn technical topics into clear, engaging YouTube content. This is a hands-on role : you’ll own both the scriptwriting and the screen-recording process for each video. You’ll research and actually use the AI tools you’re covering, write the script based on your experience, and record the footage needed to bring the content to life. You don’t need to know every AI tool from day one. What matters most is that you’re curious, willing to learn, comfortable experimenting with new technology, and able to work independently . Key Responsibilities Research AI tools, platforms, and workflows and turn them into engaging YouTube scripts Use and test the tools yourself before writing about them to ensure accuracy Write clear, structured scripts that make technical AI topics easy to understand Create content around AI tools, AI agents, vibecoding, Claude, Claude Code, and related technologies Use internal tools and workflows to draft, refine, and improve scripts Record clean screen recordings and B-roll that correspond to each section of the script Organize recorded footage clearly so editors can easily understand and use the material Communicate with video editors and respond promptly to questions or requests Produce approximately 4–5 videos per week Stay up to date with new AI tools, features, and trends Requirements Strong interest in AI and emerging technology Excellent writing and research skills Hands-on experience with AI tools such as Claude, Claude Code, ChatGPT, or similar Ability to create clear and organized screen recordings/B-roll Background as a Technical Writer or Content Writer Experience writing tutorials or educational content about software, APIs, developer tools, or AI Experience creating YouTube scripts or educational video content Experience using OBS or other screen-recording software

Location: Lagos, Nigeria We are looking for a Product Manager to lead the development and optimization of collections products, systems, and customer engagement strategies across the loan lifecycle. Key Responsibilities - Own the product strategy, roadmap, and delivery for collections solutions. - Improve collection, recovery, cure, and agent productivity metrics. - Develop collection workflows, customer contact strategies, and agent tools. - Manage integrations between collection CRM, telephony systems/dialers, loan management platforms, payment systems, and data platforms. - Collaborate with Collections, Risk, Operations, Analytics, Engineering, and Compliance teams. - Define product requirements, user journeys, processes, and success metrics. - Lead testing, implementation, rollout, and continuous product improvement. - Ensure compliance with internal policies, regulatory requirements, and responsible-collection practices. Requirements - 3+ years of product management experience, preferably in fintech, lending, banking, or collections. - Strong understanding of the loan collections lifecycle and delinquency management. - Experience with collection CRM platforms, telephony systems/dialers, and integrating both solutions. - Understanding of APIs, data flows, system integrations, and Agile product development. - Strong analytical, communication, problem-solving, and stakeholder-management skills. - Ability to translate business and operational needs into clear product requirements. Nice to Have - Experience working with secured lending products. - Experience in digital lending, consumer finance, or microfinance. - Knowledge of omnichannel collections, including voice, SMS, WhatsApp, email, and push notifications. - Experience with SQL, decisioning platforms, workflow automation, or speech analytics. Key Success Metrics - Improved cure, recovery, and kept-promise rates. - Reduced roll rates and collection costs. - Increased contact, conversion, and agent productivity rates. - Reliable performance of CRM, telephony, and system integrations. - Successful delivery of the collections product roadmap. Benefits Competitive salary aligned with the fintech market Exposure to senior leadership and cross-functional teams Clear growth path into senior roles within 12–18 months Opportunity to work on products impacting thousands of users Collaborative, high-performance team environment

Location: Philadelphia, PA Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Philadelphia, PA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $109,000-$159,650. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $120,000-$177,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Chicago, IL Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale. This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships. We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.   ABOUT THE ROLE You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.   WHAT YOU'LL DO - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts - Contribute code upstream when it meaningfully improves customer outcomes   WHAT YOU'LL BRING - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make - A track record of taking responsibility for outcomes, not just recommendations - A bias toward action and a willingness to figure things out as you go - Genuine interest in operating AI agents in production, not just building demos   NICE TO HAVES - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Experience carrying a technical number or working against pipeline alongside a sales team - Experience with LLM evaluation, observability, or guardrails - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts   COMPENSATION Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location. Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.   Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - US About the Job: LaunchDarkly is looking for an Enterprise Developer Advocate to build a new motion from the ground up: education-first technical sessions inside our largest accounts. Most enterprise customers know LaunchDarkly for one thing. Inside those same companies are teams shipping AI features, running experiments, and managing risky releases who have never met us. You'll design and run sessions that teach those engineers something genuinely useful, build internal champions alongside our account teams, and surface expansion opportunities the field can act on. This starts as a pilot, and how it scales will be shaped by what you prove. It's a role for someone who wants to own a motion, not a queue. Responsibilities: Build the motion: design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement Run sessions inside target accounts: deliver education-first technical sessions (agents and AgentControl, safe rollouts, experimentation, runtime control) tailored to each account's stack and use cases Build champions with the field: partner with AEs, SEs, and CS to identify accounts, find and develop internal champions, and hand off what surfaces cleanly to the teams who should own it Keep it credible: protect the non-promotional, education-first nature of the sessions; this motion works because it isn't a sales pitch Prove it with evidence: instrument the pilot, produce session readouts, debrief with reps, and make the scale, adjust, or stop recommendation based on what the data shows Shape what comes next: as the motion proves out, define how it scales, including the playbook future advocates would run Qualifications: A background spanning at least two of: developer advocacy, solutions engineering, developer education, technical marketing Comfortable in enterprise rooms: you can teach a technical session to fifty engineers and handle hardball questions from a skeptical principal architect Hands-on technical credibility: you build, demo, and teach, and senior engineers take you seriously Strong operational instincts: you can run a repeatable program, prioritize incoming demand, and keep commitments to the field Typically requires a minimum of 12 years of related experience. Ability to travel approximately 25% of the time (Bonus) Experience with feature management, experimentation, observability, or agent orchestration tooling (Bonus) You've built a customer-facing technical program (workshops, DevDays, office hours) from scratch (Bonus) Deep enterprise software background: you understand how large engineering organizations make platform decisions Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $145,500 - $200,090* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Boston, MA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.