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Location: Remote; United Kingdom 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 The ElevenLabs Impact Program exists to democratize access to our technology and make AI work for all people, supporting for-good use cases across healthcare, education, and culture. Today, our work includes providing free and discounted access to nonprofits, partnering with university professors to bring voice AI into the classroom and the research lab, and working to restore the voices of one million people living with permanent voice loss through our 1 Million Voices initiative (learn more at elevenlabs.io/impact http://elevenlabs.io/impact). We're looking for a Producer to own the external storytelling and event presence for Impact, a role that coordinates PR, agency management, social launches, documentary-style case studies, and event production. This is a hands-on, in-house role: you're the person who makes sure every launch, film, and activation meets (or, ideally raises) the bar of the rest of the company's output, working closely with our internal Design, Comms, and Events teams, and, when applicable, with the external agencies and production teams supporting PR, film, and creative execution. Much of Impact’s work is made with people who live with a disability, or are members of vulnerable communities. You will ensure their views carry equal weight and their input helps shape every project, from first conversation to final cut. As Impact's first dedicated producer, you'll build the production and launch engine for a team whose external footprint is scaling fast; this quarter alone includes more than five events, six documentaries in production, two live ElevenLabs Summit sessions, a partner launch every month, and several more case studies in flight. WHAT YOU'LL DO - Coordinate production of Impact's documentary case studies: travel and work onsite for filming when needed, work closely with external production and direction teams, bringing opinions on story and craft, and partner with our Design team to make sure every film meets ElevenLabs' bar and brand guidelines. - Work alongside subjects of our case studies, many of whom live with a disability, as equals and ensure that the production team does the same. You will build in consent, access needs, and editorial input at every stage to ensure alignment in how the story is told, cut, and shared. - Plan and execute Impact's conferences and activations alongside the Events team, turning each one into an in-person moment that drives real ROI and leaves a lasting impression, with Impact's own storytelling angle built in. - Support Comms in telling Impact's story through PR, coordinating with Comms and, when applicable, a PR agency to keep press windows and partner announcements on track, and helping make sure Impact's international stories get told well as the program expands globally. - Partner with Design to keep all video and static collateral on-brand, advocating for a high creative standard and Impact’s lens. - Carry a consistent visual and narrative thread across launches, blog content, and ElevenLabs Summit presentations. - Draft copy for social and blog content, collaborating with Comms to land a final draft, and with Design on all launch-related visual assets. - Manage multiple concurrent launches, shoots, and events at once. REQUIREMENTS - A great project manager with a sharp creative eye, someone who runs cross-functional logistics flawlessly, has real taste, and will push the team to hit it. - Proven practical experience working with vulnerable communities, especially people living with a disability, and ensuring they are provided the time, space and accommodation to be equal partners in high-pressure productions, on tight timelines, and in public. - Organized and detail-oriented, with a track record of juggling several production timelines at once. - Creative or production background (agency, marketing, in-house brand/content team, documentary or branded content) comfortable being on set and in the room with Design, not just commissioning the work. - Strong writing and visual taste; can tell when something is on-brand and polish-worthy. - 2-5 years of experience in production, events, or brand marketing. - Comfortable traveling for shoots and events. #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: Москва Наша команда занимается созданием следующего поколения интеллектуальных систем для анализа рисков. Среди наших проектов: * разработка NLP моделей на основе LLM, создание sota AI-агентов и мультиагентных систем для операционных и ESG-рисков * создание transformer-based моделей для решения банковских задач на финансовых данных; моделирование финансовых рынков с помощью машинного обучения * разработка классических ML-моделей для процесса кредитования, которые являются ядром бизнеса Сбера и ключевым драйвером прибыли. и сейчас наша команда в поиске талантливых стажеров трех направлений: Data Scientist, LLM-researcher, и Quant-Risks в Управление риск-моделирования. Обязанности \- разработка PoC и MVP AI-агентов на основе LLM с использованием фреймворков для работы с LLM, таких как langchain/langgraph \- адаптация и обучение LLM Сбера с использованием внутренних и внешних данных (Prompt Tuning, LoRA, SFT, GRPO) \- применение RL подхода для улучшения reasoning способностей модели. Требования * статус студента бакалавриата/магистратуры на момент трудоустройства * знание статистики и ML/DL алгоритмов * знание Python и ML-стэка (PyTorch, Scikit-learn, Pandas) * понимание как устроен современный NLP (токенизация, обработка данных, эмбеддинги, pre-train модели и тд) * опыт проектирования и обучения нейросетевых моделей (от CNN/RNN до трансформеров) * опыт построения RAG (классический RAG, GraphRAG, Agentic RAG) * знание классических алгоритмов (two pointers, бинарный поиск) и структур данных (куча, стэк, бинарное дерево) * уверенный английский язык для чтения и анализа научных статей и документации Условия * формат работы: офис в г. Москва, рядом с м. Кутузовский пр. * гибкий график и возможность совмещать с учебой: от 30 до 40 часов в неделю * возможность заниматься спортом в одном из спортзалов банка * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Dublin Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're seeking a Manager, Enterprise Application Engineering to build and lead the engineering team behind Harvey's internal business systems. You'll manage a group of Enterprise Application Engineers and AI Enablement Engineers who build the applications, integrations, and agents that Harvey's business teams run on — and you'll stay hands-on in the code and architecture yourself. This is Harvey's first Business Technology leadership role in Dublin, so you'll also anchor the EMEA engineering bench for BizTech as the company scales internationally. You'll inherit a small nucleus and hire out from there, which means your first year is as much about recruiting, defining the team's charter, and setting the engineering bar as it is about shipping. The ideal candidate is a working manager: someone who has built internal applications and integrations at a fast-moving company, has led a small engineering team, and is genuinely excited about applying AI agents to internal business problems rather than just talking about it. Harvey builds AI for legal professionals - the internal bar has to match the external one. At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you. WHAT YOU'LL DO - Build and lead the team. Hire, onboard, and develop a Dublin-based team of Enterprise Application Engineers and AI Enablement Engineers. Own the interview loop, ramp plans, and performance for the function. - Stay hands-on. Spend a meaningful share of your time in the work - designing systems, reviewing code, writing integrations, unblocking your engineers on production issues. You set the technical bar by demonstrating it. - Own the internal application layer. Take responsibility for the custom applications, services, and automations that sit on top of and between Harvey's core platforms (Salesforce, Workday, NetSuite, Okta, Marketo, Zendesk, Google Workspace, Slack, Zip, Linear, Notion), including their reliability, security posture, and lifecycle. - Drive AI enablement into the business. Lead the team that puts agents, MCP servers, and internal AI tooling into the hands of Harvey’s teams - building the connective plumbing to internal systems, the evaluation and guardrail practices that make it safe, and the enablement that makes it stick. - Partner with business and systems owners. Work directly with teams across Finance, People, GTM, Marketing, Customer Experience, Legal, and Workplace leaders to turn ambiguous business problems into scoped, sequenced engineering work - and to say no clearly when something shouldn't be built. - Establish engineering standards. Define how this team writes, tests, deploys, documents, and monitors what it builds. Introduce the practices that scale a growing team without adding process for its own sake. - Anchor BizTech in EMEA. Provide senior BizTech presence in Dublin for a growing international office and region, and hold enough overlap with US stakeholders to stay tightly coupled to the wider org. - Make build-vs-buy calls. Assess when a business need is better solved by configuration, a vendor, an integration, or custom code - and make that call with cost, security, and long-term maintenance in view. WHAT YOU HAVE - Minimum 2 years of engineering management experience, and 7+ years of hands-on enterprise application, integration, or internal platform engineering. - Hands-on engineering depth in a modern language (Python, TypeScript, Go, or similar) and real experience designing and operating API-based integrations between business systems. - Working knowledge of the enterprise SaaS landscape - CRM, HRIS, ERP, IdP, Marketing automation, and support / CX platforms (Salesforce, Workday, NetSuite, Okta, Marketo/Braze, Zendesk, or comparable) - and how business processes like Lead-to-Cash, Hire-to-Retire, and the post-sale support lifecycle actually flow across them. - Demonstrated experience applying LLMs or AI agents to real production problems, with a clear point of view on evaluation, guardrails, and where the technology does and doesn't hold up. - Track record of hiring and developing engineers, and of raising the technical bar on a team you inherited or built. - Strong communication and stakeholder management skills, especially with non-technical teams. - Ability to thrive in a fast-paced, high-growth, and global environment. Bonus Points: - Experience standing up a Business Technology, internal tools, or enterprise engineering function in a new office or region. - Background at a high-growth B2B SaaS company scaling through 2,000+ employees. - Hands-on work with MCP, agent orchestration frameworks, or LLM gateway and evaluation tooling. - Fluency with agentic coding tools (Claude Code, Cursor, Codex) as a daily working practice. - Experience with enterprise iPaaS platforms (e.g., Workato) and event-driven integration patterns. - Exposure to legal, professional services, or another regulated industry. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SH1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Lead & develop a high-performing sales team - Hire, onboard, and develop Enterprise/Strategic AEs covering Southeast Asia. Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team. - Own regional performance - Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights. - Be deeply involved in deals - Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy. WHAT YOU'LL BRING - 10- 15+ years of experience in an Enterprise customer-facing sales role, identifying and closing large accounts. - People Leadership Experience: 5+ years managing, mentoring, and developing a high performing enterprise sales team. - Enterprise Experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Strong Communication Skills: Exceptional verbal and written communication abilities. - Analytical Mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry Knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience Building GTM Strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is the AI platform trusted by the world's leading law firms and corporate legal teams, and one of the fastest-growing companies in AI. Now we're bringing that to asset management — and this role owns it. We're building the team that will define how the world's leading asset managers, private equity firms, and institutional funds adopt AI. This is a ground-floor opportunity to own a new vertical — we're still proving out this motion, which means the person who joins will help write the playbook. WHAT YOU'LL DO - Develop and manage a named account list across asset management — private equity, venture, private credit, hedge funds, real assets, and institutional allocators (LPs) — and own the full sales cycle from prospecting through contracting and expansion. - Build and manage senior relationships across each firm's legal, compliance, and investment teams — typically anchored by a GC, CLO, or CCO — expanding into portfolio-company counsel over time. Understand how decisions get made in these organizations and navigate accordingly. - Lead complex, multi-threaded deals with stakeholders ranging from managing directors and general partners to day-to-day legal and compliance users — translating Harvey's AI capabilities into language that resonates with financial buyers. - Work closely with product and engineering to stay current on Harvey's capabilities and shape solutions around how asset managers actually work — contract review, due diligence, portfolio company support, regulatory workflows. - Conduct tailored demos and presentations that connect Harvey's product directly to the workflows and pain points specific to financial services buyers. - Document what works. This team is building the asset management playbook from scratch, and your learnings will directly shape how we scale the motion. WHAT YOU HAVE - Experience selling complex software or professional services into financial services (ideally asset management, private equity, or institutional funds). You understand how these firms are structured and how buying decisions get made. - Proven ability to run a global or named account relationship — you've been the person a firm calls, not just the person who closes a deal and moves on. Ideally you've navigated a fund relationship or portfolio company motion. - Background in enterprise software sales, management consulting, or a combination — we're intentionally mixing profiles on this team. If you've unlocked a major financial services account or come from a firm that advises these organizations, we want to talk to you. - Comfortable operating in a motion that's still being defined. You're a builder who can prospect independently, iterate on messaging, and contribute to the team's collective learning. - Genuine curiosity about AI and how it applies to knowledge-intensive work. You don't need a legal background, but you should be excited about what Harvey is doing and motivated to develop real fluency in the space. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily Tavily provides the search and retrieval infrastructure powering AI applications and agents. Backed by Nebius, we're helping enterprises and developers connect AI systems to trusted, real-time information. The role Tavily is building the search infrastructure for the agentic AI era. As AI agents move into production, reliable access to real-time information is becoming critical infrastructure. We are looking for a Head of Strategic Partnerships to build the ecosystem that accelerates Tavily's growth through strategic technology, OEM, distribution, and go-to-market partnerships. You’re welcome to work remotely from the United States. Your responsibilities will include: Define and execute Tavily's strategic partnership strategy Identify, develop, and close high-value partnerships across AI labs, model providers, cloud platforms, infrastructure companies, and enterprise technology providers Build OEM, embedded, distribution, and co-selling partnerships that drive ARR and adoption Develop executive-level relationships with key strategic accounts and partners Work cross-functionally with Sales, Product, Engineering, and Marketing to turn partnerships into measurable business outcomes Build the processes, strategy, and operating model to scale Tavily's partnerships function We expect you to have: 5+ years in strategic partnerships, business development, enterprise sales, or related leadership roles Proven track record of building and closing complex technology partnerships Strong network across AI, cloud, SaaS, or developer infrastructure Executive presence with exceptional relationship-building and negotiation skills Commercially driven with a demonstrated ability to turn partnerships into revenue Entrepreneurial, highly strategic, and comfortable operating in a fast-moving environment What success looks like: Success means building a strategic ecosystem that materially increases Tavily's ARR, distribution, product adoption, and market position. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-VC1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. On Target Earnings Range $300,000 — $377,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Mid Market Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships. WHAT YOU’LL DO - Onboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions. - Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work. - Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates. - Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI. - Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions. - Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform WHAT YOU HAVE Ideal candidates for the Mid Market CSM role at Harvey can demonstrate comfort and experience with the following qualifications: - 3-4+ years in customer-owning roles at tech or SaaS platforms - Adapting seamlessly in the face of high-speed change and growth - Strategic planning, revenue-based prioritization - Managing a high volume of customer-facing projects and timelines - Running in-person meetings w/ executives - Mapping an organization and influencing stakeholders - Driving key customer metrics and outcomes - Owning a revenue, expansion, and renewal target - Demonstrating a strong point of view and proactive self-management - Working cross-functionally with Product and Sales teams DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. ##LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: France; Portugal (remote); Spain (remote); Spain Workplace: Remote WHY THIS ROLE MATTERS TO OUR MISSION Pennylane is scaling fast, and so is our ambition for Talent Acquisition. We're opening a new permanent Tech Recruiter role to sustain our growth in 2026 & beyond. Our vision is clear: be recognized as strategic partners of the Engineering team, not just a delivery function. We hire the best Engineering profiles, at the right time, all across Europe, with a candidate and manager experience that's second to none, powered by data and augmented by AI. How you'll contribute as a Tech Recruiter You'll join Pennylane's Tech, Data and Security Talent Acquisition team (a growing team of 5 recruiters, led by Rémi Gourmel) and own recruitment across the Engineering scope all across Europe (the roles include Backend, Frontend, Fullstack, Devops engineers, Engineering Managers, Senior Engineering Managers). In 2025, this team recruited 191 talent, and we’re on track for 2026 as well. This is an individual contributor role with real ownership of your perimeter, and room to lead structuring projects for the team. You won't just fill roles: you'll act as a trusted advisor to your hiring managers, bring market intelligence and data to influence decisions, and help shape how we recruit tomorrow. MISSIONS - Own full-cycle recruitment on your Engineering scope, with the support of your manager and team. - Be a strategic partner & advisor to hiring managers: challenge, anticipate, alert, and recommend beyond simple pipeline reporting. - Produce data & predictive reporting (forecasts, early warnings, KPIs) that influence hiring decisions (comp, location, drop-out risk…). - Leverage AI in your recruitment process (sourcing, screening, automation of Ashby stages) and contribute to our shared AI/agent library. - Contribute to team projects & rituals: referral program, employer branding, Process, Candidate experience, D&I, AI.. - Build and nurture talent pools proactively on your strategic roles. - Deliver an outstanding candidate experience end to end. - Challenge and improve our processes, tools and best practices in a continuous-improvement mindset. Our Recruiting stack: Ashby, HireSweet, Dust, Notion AI, LinkedIn Recruiter, Google Suite WHAT TO EXPECT FROM YOUR LIFE AT PENNYLANE Within 1 month - Get onboarded. - Learn your scope, meet your team, hiring managers and the wider Pennylane. - Start recruiting on key positions. - AI : Discover our AI stack, shared agent library and how the team uses AI day to day. - Projects : Understand our ongoing team projects and rituals, and identify where you could contribute. Within 3 months - Build and run pipelines on your roles, and deliver. - Design effective sourcing strategies for strategic positions. - Start bringing data points and recommendations to your hiring managers. - AI : Start using existing agents/automations in your daily workflow and automate the first stages of your Ashby process. - Projects : Contribute to an existing team project and bring ideas to improve our processes. Within 6 months - Recruit top talent, above market standards. - Act as a full advisor to your Business unit: market reality, business stakes, org topics. - AI : Build or adapt your own agent/automation, measure its impact on a key KPI (TTH, conversion, time saved…) and share it back to the team. - Projects — Actively contribute to a structuring project (process, candidate experience, data, D&I, employer branding…) end to end. And beyond - Multiple opportunities to recruit and grow your career in a scaling team. - Increasing ownership of side projects and referent topics. - The ability to design and implement new processes, tools and best practices : and make them last. 🥇 YOU’RE THE RIGHT CANDIDATE IF YOU: - Have at least 4 years of tech recruitment experience in a fast-paced startup/scale-up environment. - Actively use AI in your day-to-day and believe in its potential to transform recruiting. - Are highly data-driven, tracking the right metrics to continuously measure performance and optimize your processes. - Are valued by hiring managers as a true business partner, and deliver an exceptional experience to highly sought-after candidates. - Demonstrate radical ownership and strong organizational skills to manage a high volume of roles in a highly autonomous environment. - Have experience navigating modern ATS platforms (ideally Ashby). - Are fluent in French and English and comfortable conducting interviews in both languages 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement

Location: Москва Мы — команда ПКАП AEF, развивающая платформу данных внутри AEF (Agent Execution Framework — среды исполнения и управления AI-агентами в контуре банка), которая получает и обрабатывает трейсы работы агентов, формирует витрины для мониторинга, оценки качества и развития AI-агентов, а также для команд разработки, аналитики и внутренних потребителей Банка. Ищем инженера данных, умеющего доводить решения до промышленной эксплуатации и готового отвечать за их работу после запуска. Обязанности * разрабатывать и выводить в ПРОМ витрины на SQL, Spark, Scala. * разрабатывать сервисы для обработки и поставки данных. * готовить данные для исследований в лабораторном контуре: работать с трейсами, техническими показателями и метриками AI-агентов. * сопровождать витрины: анализировать логи и метрики, находить причины сбоев, устранять их и предотвращать повторение. * разрабатывать проверки качества данных и тестировать расчёты * поддерживать техническую документацию и базу знаний, консультировать внутренние команды по составу и использованию данных. Требования * опыт в data engineering от 3х лет * практический опыт разработки на PySpark или Spark * опыт разработки на Python или Scala * уверенное знание SQL (сложные запросы, оптимизация) * практический опыт работы с Hadoop, включая HDFS, YARN и Hive. * понимание устройства хранилищ данных, принципов построения витрин и организации потоков данных от источника до потребителя. * опыт вывода расчётов или сервисов в промышленную среду: Git, CI/CD, тестирование, диагностика сбоев по логам и метрикам. * знание и регулярное использование LLM-инструментов для инженерных задач. Важно уметь оценивать их ответы и самостоятельно отвечать за качество итогового решения. Условия * комфортный, современный офис м. Кутузовская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека для каждого сотрудника * бесплатная подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера. * корпоративная пенсионная программа * отсутствие строгого дресс-кода.

Location: Boston, Massachusetts, United States About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. THE ROLE You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing. WHAT YOU’LL DO Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes. Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements. Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context. Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership. Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows. Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities. EXAMPLE PROJECTS L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS. Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages. Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval. Across these workflows, build quality checks and human review routing that meet customer requirements. WHAT YOU BRING A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience. Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging. Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review. Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations. Ownership through deployment, documentation, customer enablement, and adoption. Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential. Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Core Requirements: — Strong hands-on experience with Databricks, especially Databricks Jobs — Advanced Python skills, writing notebooks daily from ingestion to the gold layer — Solid understanding of medallion architecture and how to define bronze / silver / gold boundaries — Experience working with Delta tables — Experience processing large volumes of PDF documents (100K+ files) — Experience calling LLM endpoints from notebooks and tracking token usage and cost — Experience with Azure cloud — Ability to design and consolidate job orchestration pipelines Nice to Have: — Experience with Neo4j or other graph databases — Experience with healthcare or clinical-research data — Experience building data layers consumed by AI agents What You'll Work On: — Extracting and structuring data from large collections of clinical-research PDFs — Building bronze, silver, and gold layers in Databricks with Python notebooks and Delta tables — Integrating LLM endpoints into data pipelines and monitoring token spend — Building a Neo4j graph alongside Delta tables for agents to query — Preparing gold-layer data for an agentic layer used as an API tool — Consolidating scattered and redundant Databricks job pipelines

Location: India (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a Channel Manager to develop, execute and evolve our partner go-to-market strategy in India. You will work closely with Sales, Solution Engineering, Marketing, Operations and the leadership team to align sales and go-to-market efforts with our product, technical and sales development efforts. Your key task is to deliver immediate and future partner-sourced revenue growth, working primarily with Grafana's regional Systems Integrators and Value-Added Resellers. As our first dedicated channel hire in India, you will build an emerging partner community and shape the role, the strategy and the playbook inside a rapidly growing company where partners are a core part of go-to-market. This is NOT a programmatic channel and distribution role. This IS a sales-focused channel role for someone who thrives in a fast-paced environment, is comfortable owning a partner-sourced revenue number, and can build on a fast-growing channel business. What You'll Be Doing: Develop executive-level relationships with focus partners in India Own partner opportunity identification and deal acceleration to drive revenue targets Lead the identification, activation and development of regional partners Develop partner capabilities, co-sell motions and brand awareness initiatives Establish strong executive relationships to create partnership business plans Work with leadership to manage pipeline and revenue commitments Work across Grafana Labs on message alignment, operational coordination and evangelism of the partner strategy and program What Makes You a Great Fit: 7+ years of experience in channel sales or sales (selling with partners) Experience selling SaaS (open source technology is a plus), and familiarity with BEPIC and MEDDPICC selling methodologies A demonstrated history of consistent goal achievement at high-growth startups A consultative sales approach, with the goal of keeping customer, partner and community satisfaction exceptionally high Proven experience developing a high-performing channel strategy for SaaS vendors new to the India market Bonus Points For: Running low-touch deal cycles with partners independently of the direct sales team A demonstrated ability to increase partner-sourced revenue (NACV) contribution to India's overall revenue. Compensation & Rewards: In India, the OTE (On-Target Earnings) compensation range will apply for this role.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role, roughly 80% writing and shipping production code (services, pipelines, and infrastructure) and 20% modeling, taking detection and classification approaches from prototype to hardened systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability, and observability Build and maintain machine learning (ML) infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks Ship large language model (LLM) and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code Own systems end to end, from integrating a model into the platform through deployment, monitoring, and iteration Work with security, product, and infrastructure teams to turn abuse patterns and detection logic into production systems What you need 5+ years of software engineering experience building and operating production systems at scale Wrote production code in Python, plus JavaScript/TypeScript or Go Built and maintained ML infrastructure, such as training and serving pipelines, feature stores, or evaluation tooling Integrated LLMs into production systems, including prompt engineering and evaluation Bonus if you Built an open source ML tool Worked in the trust and safety, fraud, or abuse prevention domain Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Los Angeles, USA As a Staff Machine Learning Engineer on an unpublished R&D game project, you will own the strategy, design, and implementation of ML capabilities. You will work closely with developers, designers, and data scientists to understand their needs, and will be hands-on in conceptualizing, planning, implementing, and maintaining ML-driven solutions. We’re looking for someone who is passionate about enabling great player experiences, thrives in cross-disciplinary collaboration, stays current on the latest ML techniques, and can apply them pragmatically to challenging product problems. You will report to the Engineering Manager within the R&D game project. Responsibilities: Work closely with developers, designers, and data scientists to identify and define improvement opportunities Refine modeling and feature strategy for using techniques such as reinforcement learning Establish pipeline architecture patterns in partnership with central teams; build reusable training and evaluation pipelines that can be adapted to Riot-wide use cases Drive the application of ML/RL systems to improve decision-making and adaptation Establish research-to-production practices; balance cutting-edge techniques with production reliability Establish evaluation practices in partnership with data scientists and analytics partners; guide experiment design for measuring model impact and set technical evaluation standards Define reliability standards in partnership with design and engineering Advance and strengthen engineering best practices, including code quality, automated testing, and maintainable architecture Mentor engineers and partner disciplines through documentation, reviews, and technical design guidance Identify technical risks and bottlenecks, proposing pragmatic solutions to keep projects moving forward Required Qualifications: 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles, ideally within real-time or interactive environments Experience with reinforcement learning, including applying RL to practical production problems Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction Proficiency with modern ML/data science libraries and frameworks such as PyTorch, TensorFlow, pandas, etc. Experience collaborating regularly with teammates across multiple disciplines Strong communication skills across technical and non-technical audiences B.S. in Computer Science or equivalent experience Proficiency in Python or similar programming languages Desired Qualifications: Experience with multi-agent reinforcement learning Experience in developer tooling Experience implementing framework-level UI systems Experience in infrastructure and MLOps, such as ML cloud services, containers, and model telemetry Experience working in a AAA game engine (e.g. Unity, Unreal) Proficiency in C++ For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd Cloud, Infra, Data & Security is growing fast, and our architecture leadership needs to keep up. We need someone who can take an unclear problem, define it, design the answer, and make sure it ships. You'll set technical direction across cloud, infrastructure, and data. You'll shape engagements and roadmaps before they're committed. And you'll stay close enough to delivery that what we design is what gets built. We operate AI-first: you'll use AI as a daily tool to move faster and multiply what you and the teams around you can deliver. There will be ambiguity. That's the job. The plans don't exist yet, and you'll help write them. WHY THIS ROLE, WHY NOW: - You'll help define the business, not inherit it. The Cloud BU is rapidly scaling. The patterns, standards, and team habits you set now become how we operate. - The scope is broad on purpose. It covers cloud foundations, Kubernetes platforms, data, and AI workloads, so you won't be boxed into one layer. - Decisions move quickly. You'll work directly with BU leadership, and decisions take days, not quarters. - The problems are current. The work is getting AI workloads into production safely, building data platforms that are governed, and keeping cloud spend under control. WHAT YOU'LL OWN: - Architecture direction. You'll define reference architectures, landing zones, and standards across AWS and Azure, Kubernetes, and infrastructure-as-code. You'll decide what we standardize and what we leave flexible. - Data and AI platforms. You'll design lakehouse and warehouse, streaming, and governance patterns. You'll also design the platform layer that moves GenAI and agentic workloads from prototype to production, covering access control, evaluation, observability, and cost guardrails. - Solution shaping. You'll lead technical discovery, size and de-risk the work, and write the solution designs and technical scope that teams commit to. - AI-accelerated delivery. You'll use AI tools across the architecture lifecycle: discovery synthesis, design drafts, IaC and code generation, review, documentation, and estimation. You'll turn what works into repeatable patterns and prompts the team adopts. You'll also set the guardrails for how AI is used with client and production data. - Security and compliance by design. You'll own IAM, network segmentation, secrets management, and logging. Your designs need to hold up to SOC 2, ISO 27001, and regulated-industry scrutiny without slowing delivery down. - Cost and operability. Every design ships with a run cost, reliability targets, an observability plan, and a rollback path. - Raising the bar. You'll run design reviews, mentor architects and senior engineers, and turn repeat solutions into reusable accelerators. WHAT YOU BRING: Have 12+ years in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale. Have deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform (or an equivalent IaC tool). You can still review a pull request credibly. - Have designed and shipped modern data platforms, such as [Databricks / Snowflake / Fabric / Redshift], including governance and data quality, not just pipelines. - Think security-first. IAM design, zero-trust networking, encryption, and audit readiness are defaults for you, not afterthoughts. - Use AI as a force multiplier, not a novelty. You can show concrete examples of AI shortening your delivery timelines or expanding your output. You also know where it fails, and you verify what it produces before anything reaches production. - Can explain a tradeoff to a CFO in the morning and debug it with an engineer in the afternoon. - Act under ambiguity. You write the first draft of the plan instead of waiting to be handed one, then adjust it as you learn. NICE TO HAVE - You've put GenAI or LLM systems into production (RAG, evaluation, guardrails, agent orchestration). - You have multi-cloud or hybrid experience at enterprise scale. - You've worked in regulated industries such as financial services, healthcare, or the public sector. - You hold AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA. These help but aren't required. - You've built an architecture practice or center of excellence from an early stage. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Singapore Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. What You’ll Do: Acquire new enterprise merchants by identifying opportunities, building relationships, managing sales cycles, and closing deals Manage and grow strategic merchant accounts throughout the full client lifecycle, from onboarding and integration to ongoing optimization and expansion Develop strong relationships with key merchants and become a trusted business partner, understanding their challenges and providing tailored payment solutions Drive upsell and cross-sell opportunities by identifying business growth areas and increasing adoption of Unlimit’s payment solutions Analyze merchant performance data, monitor key business metrics, and provide insights and recommendations to improve transaction performance and revenue growth Collaborate closely with product, operations, risk, compliance, and technical teams to ensure successful merchant experience and continuous improvement Manage multiple priorities and stakeholders while delivering results in a fast-paced and evolving environment Represent Unlimit as a strategic partner, bringing ownership, professionalism, and commercial mindset to every client interaction. Who You Are: Payments experience: minimum 5 years of experience in the payments industry, with strong knowledge of acquiring, merchant services, payment solutions, or payment partnerships Enterprise sales experience: proven experience managing complex sales cycles with enterprise merchants, including prospecting, negotiation, and closing Account growth mindset: demonstrated ability to not only acquire clients but also grow existing accounts through strategic relationship management and solution expansion Commercially driven: comfortable owning revenue growth opportunities, including new business acquisition, upsell, and cross-sell initiatives Analytical mindset: able to understand transaction data, identify growth opportunities, and translate insights into actionable business strategies Client-focused: strong relationship management skills with the ability to build trust and influence senior stakeholders Self-starter: proactive, resilient, and able to work independently in a fast-paced environment. Collaborative and positive: works effectively across teams and contributes to a high-performance culture. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: San Francisco 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 RevOps Systems Architect to design and build the systems behind a modern, AI-powered go-to-market engine. This isn’t a Salesforce admin role, and it isn’t a support function. You’ll be the technical owner of how our GTM stack fits together: Salesforce at the core, surrounded by the data, enrichment, engagement, billing, and AI tools our revenue teams depend on. You’ll operate as an architect and a hands-on builder. You’ll set the technical direction for our CRM and GTM tooling, then ship it yourself with Flows, Apex, SQL, and custom services, including Salesforce MCP servers and AI tooling that make our CRM a first-class participant in AI-driven workflows. For larger efforts, you’ll partner with our engineering team, scoping, designing, and delivering together as a technical peer. In this role, you will: - Own the architecture of our GTM systems: the Salesforce object model and data architecture, how data moves between Salesforce and the rest of the stack, and the standards that keep it all healthy and scalable. - Design and build integrations between Salesforce and adjacent tools (data warehouse, enrichment, sales engagement, billing/CPQ, internal apps), choosing the right tool for each problem, whether that’s native Salesforce, Apex, middleware, or custom services. - Build and maintain automations using Flows, Apex, and custom services that power GTM processes end to end, with a bias toward solutions that are intelligent, observable, and maintainable. - Develop and maintain Salesforce MCP servers and AI agents that extend CRM functionality into AI-powered workflows, and define how AI fits into our revenue operations over time. - Design and own SQL-based data pipelines that feed dashboards and revenue reporting, making sure the numbers leadership relies on are trustworthy and traceable to source. - Translate ambiguous business problems into clear technical strategy, from stakeholder conversation through design, build, rollout, and adoption. - Raise the bar for the team: establish best practices for change management, testing, documentation, and technical debt, and mentor teammates on systems thinking. - Partner with leaders across Sales, Marketing, Customer Success, Finance, and Engineering to prioritize the systems work with the highest business impact. REQUIREMENTS - 8+ years in Salesforce administration and development, with a track record of owning a complex, high-growth org and its architecture, not just maintaining it. - Strong Apex skills: you can design, build, debug, and maintain triggers, custom logic, and integrations independently, and you know when not to write code. - Demonstrated experience integrating Salesforce with other systems via APIs, middleware, or custom services, and designing for failure modes, data integrity, and scale. - SQL proficiency: you decompose ambiguous questions into well-structured queries and are comfortable with complex joins, aggregations, and pipeline logic. - A systems mindset: you can hold an end-to-end GTM process in your head, trace a field from origin through every downstream dependency, and anticipate what breaks when something changes. - Strong judgment and ownership: you scope problems yourself, make sound build-vs-buy and architecture calls, and drive projects to completion with little direction. - Clear communicator who can explain tradeoffs to both technical and non-technical stakeholders and earn trust across teams. - Excited by AI-native systems and curious about where Salesforce, MCP, and AI agents intersect. You’re already experimenting in this space. Bonus: - Familiarity with dbt or modern data transformation tooling. - Experience with BI tools such as Sigma or Looker. 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: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses. You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence. This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations. WHAT YOU'LL DO - Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions. - Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises. - Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight. - Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots. - Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support. - Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact. WHAT YOU HAVE - Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model. - Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny. - Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments. - An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire. - The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work. Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny. At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business. COMPENSATION $280,000 - $385,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai