Вакансии

Location: San Francisco, CA; New York, NY; Toronto 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 - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Language fluency - professional fluency in both Spanish and English - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders 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: Remote; Europe; Switzerland; Poland; United Kingdom; Netherlands 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 are looking for a backend-leaning full-stack engineer to help build the next generation of Creative Agents at ElevenLabs. Our ambition is to make agents a primary way people create across ElevenCreative. We are building systems that turn ideas into high-quality audio, image and video, bringing models and creative tools together without requiring users to become prompting experts. The creative agent is already live. You will join a small team shaping its capabilities and architecture, with ownership from backend systems and agent infrastructure through to the customer-facing experience. You will help discover what works, turn experiments into reliable features, and use real customer feedback to guide what we build next. Your responsibilities will include: - Building production agents and expanding their capabilities through prompts, tool use, orchestration, new models and MCP integrations. - Designing and operating reliable backend systems for asynchronous creative generation and long-running tasks, with strong performance, observability, scalability and security. - Developing shared evaluations and live quality monitoring, including model-based assessment of image and video outputs. - Owning features end to end, from identifying user needs and prototyping to shipping across the stack and supporting them in production, alongside product, design and engineering. You will help shape both what the agent can do and how people use it across ElevenCreative. The work combines substantial greenfield development with improving and operating a live product. REQUIREMENTS We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned. We are looking for: - Strong backend engineering skills, experience operating production systems, and sound fundamentals in APIs, cloud infrastructure, storage and asynchronous processing. - Hands-on experience developing agents, with an understanding of prompts, tools, execution logic, evaluations and the challenges of reliable, secure operation. - Evidence of independent, end-to-end ownership and confidence working across the stack, including frontend delivery when needed. - Good product judgement, clear communication and enthusiasm for creative agents. We may also consider exceptional engineers with closely relevant experience. Familiarity with HTTP, WebSockets and asynchronous workers will help you build reliable communication between services and recover from failures. Experience with multimodal generation, creative editors, MCP, or building products in a small, fast-moving team would be particularly valuable. Location: This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #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: Amsterdam, Netherlands Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The EMEA Mid-Market international team is responsible for building the international ads engine outside of the US, onboarding & growing advertisers to achieve their marketing objectives with proven solutions and at pace globally. This is an opportunity for you to be part of the team that expands the Reddit footprint: design the strategy, develop a high performing sales team and bring the magic of Reddit into new markets! We're looking for sharp, positive and motivated self-starters to help us build this team from the ground up! In addition to laying the foundation of the team We're introducing a new role into our Mid market team that is end to end responsible to grow our book of business, managing both the pre and post sales journey of our clients. You will be responsible for your own book of Business, taking full ownership of strategic conversations, implementation & optimisations to grow the accounts. You will build & maintain a relationship at both client direct & agencies to meet their business objectives using Reddit's advertising suite. You will work closely with the wider Mid Market DACH Team to define best practices, treatments and process improvements that allow for more sustainable growth, efficiency or scale. This role is required to work in person from our Amsterdam office. Reddit offer a generous relocation package. Core Responsibilities : Act as the CEO of your book of business, and take full ownership of strategic bets, revenue forecasting, and ensuring operational rigor. Generate advertising revenue from assigned clients via ad agencies and advertisers directly, ensuring their needs are met and exceeded Responsible for revenue quota of assigned book of business each quarter Develop and execute strategic sales plans to meet and exceed revenue targets. Own client meetings from agenda to final presentation, instilling confidence and setting all interactions up for success by appropriately setting client expectations, identifying outcomes, and communicating clear next steps Act as the primary point of contact for clients to communicate major platform updates, releases, changes, and/or opportunities that will deepen or expand the relationship Provide strategic, proactive, and consultative advice to clients in order to uplevel and grow the relationship; Identify areas of additional opportunity within existing client relationships, including new lines of business, and move them through to close Communicate feedback on our sales processes, narratives, and products in order to advocate for customers and improve the team's effectiveness and efficiency Implement & optimize campaigns ( with the help of account strategists) to meet our clients’ advertising objectives through performance-driven or awareness campaigns Pull and analyze data to compile compelling and actionable insights to move your clients' businesses forward. Recognize and represent client needs and asks to cross-functional stakeholders Proactively and continually identify areas of improvement Qualifications: 5+ years of relevant experience in online media sales (platform experience preferred) Strong understanding of the media landscape across the DACH region Client-facing experience in advertising sales, account management, or paid social campaign management Experience in monitoring marketing campaign performance, and make manual optimizations or strategic recommendations as needed Experience in Pulling and analyzing data to compile compelling and actionable insights to move your clients' businesses forward. Fluent in English & German Users-first orientation Positive outlook, team player Demonstrated high achievement against sales targets Motivated self-starter who thrives in unstructured environments Solid understanding of customer marketing funnel and traditional marketing ecosystem Experience working with Excel/Gsheets and delivering actionable insights Understanding of digital measurement, tracking fundamentals and mobile measurement partners Tenacious and entrepreneurial approach to working through product, process, and client challenges Demonstrated ability to cultivate strong relationships with external partners Benefits Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Private Pension plan with Employer-matching 100% employer-sponsored group medical plan Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Наш клиент — международная B2C AI продуктовая компания, разрабатывающая решения для генерации разговорного текста, изображений и видео. Требования: — 3+ года разработки на Python — Опыт работы с Production GenAI / LLM — Знание диффузионных моделей и LoRA — Опыт генерации изображений и видео — Опыт с агентными рабочими процессами и prompt engineering — Навыки работы с Docker, AWS, MongoDB — Опыт GPU inference (RunPod, fal.ai или аналогичные) — Знание Async Python, очередей и микросервисов — Уровень английского B2+ Условия: — Работа в офисе на Кипре — Компания с более чем 18 AI продуктами

Задачи: — проводить функциональное, регрессионное, smoke, UAT и негативное тестирование; — тестировать API через Postman / Insomnia; — писать тест-кейсы, чек-листы и баг-репорты в Jira / Zephyr; — работать с SQL, логами и трейсингом; — тестировать AI-чатов и multi-turn сценарии; — проверять edge cases, adversarial / jailbreak-промпты и safety-фильтры; — оценивать качество ответов LLM: точность, релевантность, полноту и тональность; — тестировать RAG-пайплайны и корректность источников в ответах; — использовать AI-инструменты для автоматизации рутинных QA-задач и написания небольших скриптов. Требования: QA-база: — от 3 лет опыта в ручном тестировании; — понимание основных видов тестирования; — Jira / Zephyr; — SDLC / STLC, Agile / Scrum; — Postman / Insomnia; — базовый SQL; — работа с логами и трейсингом. AI / LLM: — понимание принципов работы LLM: токены, temperature, top-p, context window; — понимание prompt engineering; — знание типичных проблем LLM: hallucinations, потеря контекста, nondeterminism, sensitivity к формулировкам; — опыт или понимание тестирования multi-turn диалогов, edge cases и jailbreak-промптов; — понимание оценки качества AI-ответов; — базовое понимание RAG: чанкинг, эмбеддинги, vector search, reranking, retrieval; — умение проверять корректность источников и цитирования в RAG-ответах. Технически: — практический опыт с Claude Code или аналогичными AI coding CLI; — базовое понимание ООП; — способность читать код автотестов и писать простые вспомогательные скрипты на Python / Java / C#. Условия: — удалённая работа; — занятость full-time; — тип оформления: ГПХ / ИП; — зарплата обсуждается индивидуально; — часовой пояс GMT + 3.

Задачи: — участие в международном проекте в роли Senior Backend Developer Требования: — уровень английского языка B2+ — опыт разработки на Python для backend — опыт работы с Prompt Engineering — настройка Agentic AI, предпочтительно LangChain — опыт работы с Agent Skills и Tools — знание SQL и Snowflake — опыт работы с Cortex Analyst — опыт работы с Text-to-SQL / Intent-to-SQL Желательно: — опыт работы с DeepEval — опыт инструментирования MLflow — навыки настройки производительности и оптимизации затрат — опыт работы с кэшированием метрик и предагрегацией — опыт в DataOps / Data Platform — понимание архитектуры семантического слоя — опыт работы в фармацевтической коммерции Условия: — удалённая работа из Европы — полная занятость — долгосрочный проект

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с помощью Grafana, Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana/Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт 2+ года в TechOps/технической поддержке (опыт в FinTech/Forex/Crypto будет плюсом) — Отличное владение английским языком (C1+) Условия: — Удалённая работа (предпочтительно в часовом поясе GMT+5 - GMT+8) — Командный язык — английский

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create and deliver technical content, from engineering deep dives to executive briefings Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic's Applied AI and Engineering teams Minimum qualifications Active TS/SCI clearance with Polygraph Prior experience working within US intelligence community agencies as a government civilian or cleared contractor 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers Strong programming skills with proficiency in Python or TypeScript and experience building production applications Hands-on expertise in one or more of the following domains: Offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security) Cryptography and cryptanalysis Intelligence analysis and ISR (all-source, SIGINT, GEOINT) Mission and weapons systems (command and control, space, electronic warfare, autonomy) CBRN and nonproliferation Accreditation of classified systems (RMF, ATO, cross-domain solutions) Exceptional communication skills to convey technical concepts to diverse stakeholders, from engineers to executives, while maintaining a low ego and collaborative approach Preferred qualifications Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Experience deploying and operating software in air-gapped or classified environments Experience designing scalable cloud architectures and integrating with enterprise systems Background in artificial intelligence, machine learning, or data science Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Serbia; Greece; Romania; Malta; Estonia; Poland Open to candidates across EU / EMEA time zones (UTC+0 to UTC+3) FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Paid Social & Mobile App Growth Manager. You will own two of our biggest growth levers: paid social across web and app, and mobile app growth from install to first-time deposit (FTD). Sitting in the Growth Team (Global Paid Growth), you will set strategy, run a multi-channel budget and decide each month where spend goes, web sign-ups or app installs, based on cost per FTD and return on ad spend (ROAS). You will own the numbers from impression to FTD and beyond. How success is measured Leads and FTDs from paid social (web) and from the app, by source and region. Cost per install, cost per registration and CPA per FTD against target, by region and platform. Install-to-FTD conversion rate. 30 / 90-day ROAS on web and app cohorts. Spend within the approved monthly budget. App store conversion rate (page view to install), keyword rankings and average rating. Responsibilities Strategy and budget Own the paid social and mobile app acquisition strategy, budget and forecast across all target regions. Decide each month how spend splits between web and app objectives, based on cost per FTD, ROAS and install-to-FTD conversion. Manage monthly budget pacing with Marketing Operations, reallocating spend weekly based on CPA, ROAS and cohort quality, and report performance against objectives. Paid social (web and app) Plan, launch and optimise paid campaigns across Meta, TikTok, Snapchat, X, LinkedIn and Reddit, for both web leads and app installs. Own account structure, audiences, bidding and campaign naming across all paid social platforms. Optimise beyond installs and leads to registration, KYC completion and FTD, using value-based and event-based bidding. Run a continuous creative testing programme with the Creative and Content teams: briefs (video, playables, static, store assets), variants, learnings and fatigue tracking. Mobile app acquisition Plan, launch and optimise app install and in-app event campaigns across Apple Search Ads, Google App Campaigns (UAC) and selected programmatic / mobile ad network partners. Source, onboard and manage app networks and agencies, with strict fraud controls. ASO and organic app growth Own App Store and Google Play optimisation: keyword research, metadata, screenshots, preview videos and localisation for priority languages. Run store-listing experiments (Google Play Experiments, Apple Product Page Optimisation) and Custom Product Pages aligned to paid campaigns. Grow ratings and reviews through in-app prompts and review management. Drive web-to-app and cross-channel installs with SEO, Content, CRM and Partnerships (IB/affiliate) teams, including deep links and QR flows. Measurement and attribution Own mobile measurement through our MMP (AppsFlyer): SDK events, deep links, SKAdNetwork / AdAttributionKit, Google Privacy Sandbox for Android, and UTM / tracking-link standards. Keep web (Meta Pixel / Conversions API) and app (MMP) attribution aligned and deduplicated, so paid social results are counted once. Work with Data Engineering on cohort, CAC, LTV, ARPU and ROAS reporting (30- and 90-day) that ties installs and sign-ups to FTD and net deposits. Keep event tracking, postbacks and attribution windows accurate across all partners. Funnel and conversion Partner with Product and Dev on onboarding, KYC and first-deposit flows in the app to lift install-to-FTD conversion. Work with the CRM & Lifecycle manager (Salesforce Marketing Cloud) on push, in-app and email journeys for new app users. Compliance Ensure all ads and app store assets meet the requirements of each regulator (ASIC, CySEC, FSCA and others), platform ad policies for financial products, and Apple / Google app store guidelines, including risk warnings and country restrictions. Out of scope Organic social and community (Discord, Reddit communities, Telegram), owned by the Organic Social & Community Growth Manager. Candidate profile Must have 4+ years in paid acquisition, covering both paid social (Meta, TikTok and at least one other platform) and mobile app user acquisition. Proven experience in online retail trading (FX/CFDs), iGaming or crypto: you understand regulated, high-CPA acquisition, deposit-driven funnels and the ad-platform restrictions these verticals face. Hands-on ownership of a multi-channel paid budget of USD 250k+ a month. Hands-on experience with Apple Search Ads, Google App Campaigns, MetaAds, LinkedIn, X and ASO, with proven results on both App Store and Google Play as well as driving Web/Desktop Leads and FTDs Deep working knowledge of an MMP (AppsFlyer preferred), SKAdNetwork, post-ATT measurement and deep linking, plus Meta Pixel / Conversions API. Strong analytical skills: cohort analysis, LTV modelling, incrementality thinking and ROAS-based budget decisions; comfortable in Excel / Google Sheets and BI dashboards. Experience optimising to down-funnel events (registration, deposit), not just clicks or installs. A track record of running structured creative testing at scale. Fluent English, written and spoken. Nice to have Experience with programmatic and mobile ad networks. Experience with Snapchat, Reddit and other social or new ad channels such as ChatGPT. Knowledge of financial-promotion rules (ASIC, CySEC, FSCA) and Apple / Google policies for financial apps. SQL or BigQuery; familiarity with Salesforce Marketing Cloud. A second language relevant to our key markets (e.g. Spanish, Portuguese, Arabic, Chinese, Thai or Vietnamese). Personal attributes Commercial and numbers-driven: you decide on cost per FTD, not clicks or installs. Comfortable owning a large budget and explaining every euro of it. A fast tester who learns from failures and scales winners quickly. Collaborative with Creative, Product, CRM and Data Engineering. Our offer A welcoming, young and multicultural team with approachable leadership. Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase. Support for your ideas and room to put your expertise into the company's best practices. Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders. Competitive remuneration, regular salary reviews and performance-based incentive schemes. A vibrant company life: from team activities to global celebrations. Journey to FP Markets Interview with HR Interview with the CMO Interview with the Head of Trading Platform Development Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Monclova, Mexico; Monterrey, Mexico We are seeking an experienced Source Inspector to inspect manufactured components and assemblies before shipment to a U.S.-based industrial fabrication company. Working onsite in Monclova, you will verify that products meet engineering drawings, specifications, approved revisions, and quality requirements. You will identify defects, document inspection results, and help prevent nonconforming products from reaching downstream production. The scope includes fabricated metal components, welded structures, frames, panels, enclosures, sheet-metal parts, machined components, and mechanical or electrical assemblies. This is a practical inspection position working closely with Supplier Quality Management, Supplier Quality Engineering, and manufacturing teams. The role is based in an industrial manufacturing environment involving fabrication, welding, machining, and assembly. Activities include standing and walking for extended periods, using measuring tools, and following required personal protective equipment and site safety procedures. Candidates based in Monclova or surrounding areas are encouraged to apply. Candidates from other locations must be willing and able to work onsite in Monclova. Apply with your updated resume highlighting your fabrication inspection experience, measuring instruments used, and availability to work in Monclova. Responsibilities Perform in-process, final, and pre-shipment inspections of fabricated products and assemblies. Verify product identification, quantities, purchase order requirements, drawing revisions, and applicable specifications before inspection. Inspect dimensions, workmanship, weld appearance, surface finishes, and assembly quality against approved requirements. Perform basic functional checks when specified in the inspection plan. Use calibrated measuring equipment, including calipers, micrometers, height gauges, pin gauges, indicators, tape measures, and squares. Confirm that engineering changes and approved revisions have been correctly implemented. Review material certificates, supplier inspection records, test results, and traceability documentation. Identify and document nonconforming products through clear descriptions, measurements, photographs, and references to requirements. Initiate or support Nonconformance Reports (NCRs) and promptly escalate issues affecting quality, fit, function, or shipment timing. Support containment, sorting, reinspection, and verification of supplier corrections. Withhold product release when requirements are not met or supporting evidence is incomplete, following established procedures and delegated authority. Prepare complete inspection reports and submit supporting documentation within 24 hours of inspection completion. Maintain accurate, traceable records in the designated quality or ERP system. Follow ISO 9001-based quality procedures, document-control requirements, and site safety rules. Requirements At least 3 years of experience in manufacturing quality, source inspection, receiving inspection, fabrication inspection, or supplier quality. Demonstrated experience inspecting fabricated metal products or assemblies in a manufacturing environment. Ability to read and interpret engineering drawings, bills of material, specifications, tolerances, and inspection instructions. Working knowledge of GD&T , including its application to drawings using ASME Y14.5. Practical experience using precision measuring and inspection equipment. Working knowledge of ISO 9001 principles , document control, traceability, and control of nonconforming products. Experience documenting quality issues, preparing NCRs, and supporting corrective actions. Proficiency with Microsoft Excel and Outlook, and the ability to learn ERP and quality-management systems. Strong attention to detail, sound judgment, and clear written and verbal communication. Ability to work independently while coordinating with suppliers, engineering, and production teams. Availability to work onsite in Monclova, Coahuila . Preferred Qualifications Experience inspecting weldments, structural frames, sheet metal, electrical enclosures, busbar assemblies, or mechanical and electromechanical assemblies. Familiarity with weld inspection, surface finishes, coatings, and assembly verification. ISO 9001 internal-auditor training or equivalent quality-system experience. Experience with first-article inspection, sampling plans, and supplier inspection activities. Familiarity with 8D, root cause analysis, 5 Why, and basic statistical process control. Benefits Opportunity to work with an established U.S.-based industrial fabrication company. Exposure to diverse metal fabrication and electromechanical assembly projects. Close collaboration with engineering, manufacturing, and supplier quality teams. Opportunity to strengthen your technical inspection and quality-control expertise. A meaningful role in ensuring product quality and supporting successful project delivery.

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our user base spans across professional creatives, as well as business owners and enterprise marketing and merchandising teams that come to Runway to generate videos, ads and other content to promote their products and services. We're hiring for a Senior Product Manager to build agent products. You’ll own new product development end-to-end, from customer and technical discovery, to product shaping and viability, to quality and feedback loops that make these products better. You’ll work at the frontier of agentic product development, shaping how Runway Agents help our customers grow their businesses. WHAT YOU’LL DO - Represent the customer: develop deep understanding of creative and marketing workflows through frequent customer engagement; synthesize findings on agent performance and behavior, and lead a team with clarity and conviction. - Lead Agent Development: run user interviews, competitive research, eval analysis, and prompt experimentation. Shape your findings into new product offerings that solve customer problems in new and novel ways. - Own agent quality: create eval infrastructure, monitor regressions, and ensure that agents improves with every release. - Shape the scope: scope ruthlessly to deliver exceptional user value on a fast paced release. - Ship, hands-on. ship your own PRs to improve the product experience. You'll be in the details daily and shipping regularly. - Create compelling launch moments: enable sales, support, and marketing with the context they need to communicate new agent capabilities effectively WHAT YOU’LL NEED - 8+ years in the software industry, with direct ownership of an AI or LLM powered product in a product management or engineering leadership role. A track record of moving revenue and adoption metrics, not just shipping features. - You thrive in an environment with rapid pace and a high accountability culture. You move very fast, make decisions with incomplete information, and instinctively gravitate towards shipping today, not writing docs for tomorrow. - Hands-on experience building and shipping agent-products - you understand tool use, planning loops, multi-step reasoning, and how and why agents fail. You have deep familiarity with prompt engineering and evaluation frameworks. - Excellent written and verbal communication. You can make a sharp, written argument and tell a compelling launch story. You confidently assess the state of the business, call out challenges and articulate your plans to solve them. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales protection for the 99% . We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years. Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human. Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly. Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start. Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps. Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all. Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken. Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust. Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly. Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope. Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike. Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have. What You Bring To The Team: 15+ years of experience developing complex software products, including significant time as the technical lead on production systems Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint and identity telemetry and with attacker tradecraft Experience attacking or adversarially testing ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Baku Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. Open to current graduate students and recent graduates of a Computer Science, Software Engineering, or related program . How to Apply Please include: A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does. You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise. What You'll Do Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see Run social engineering and phishing simulations to assess and improve organizational security awareness Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team What We're Looking For 5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration Strong scripting or programming ability for building and adapting offensive tooling Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand Experience with smart contract auditing and blockchain security Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does. You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise. What You'll Do Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see Run social engineering and phishing simulations to assess and improve organizational security awareness Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team What We're Looking For 5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration Strong scripting or programming ability for building and adapting offensive tooling Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand Experience with smart contract auditing and blockchain security Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws The annual base salary range for this position is $175,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role DRW is building out its offensive security capability, and we’re looking for a Senior Offensive Security Engineer to lead the charge. In this role, you’ll plan and execute red team engagements, penetration tests, and adversary simulations against our trading infrastructure, corporate environment, and cloud platforms, acting as a trusted adversary who helps us find and fix weaknesses before anyone else does. You’ll work closely with our security, infrastructure, and trading teams to translate what you find into real improvements, and you’ll help shape the methodology, tooling, and roadmap for offensive security at DRW as the function matures. This is a hands-on, high-trust role for someone who thinks like an attacker, communicates like a partner, and cares about making the firm measurably harder to compromise. What You'll Do Plan and execute red team engagements and adversary simulations against trading systems, corporate IT, and cloud environments, modeling realistic attacker tactics, techniques, and procedures (TTPs) mapped to frameworks such as MITRE ATT&CK Conduct penetration tests across networks, web and internal applications, APIs, and cloud infrastructure, and report findings with clear, actionable remediation guidance Design and build custom tooling, scripts, and exploits to emulate adversary behavior, test control effectiveness, and validate detection coverage Partner with the Security Engineering and SOC teams in purple-team exercises to close gaps between what attackers can do and what defenders can see Run social engineering and phishing simulations to assess and improve organizational security awareness Identify, validate, prioritize, and track vulnerabilities and control weaknesses through to remediation in collaboration with infrastructure, platform, and application owners Present engagement results and risk narratives to both technical teams and senior leadership in a way that drives action Stay current on the threat landscape, emerging TTPs, and offensive tooling, and bring that knowledge back into DRW’s defenses Assess the security of AI and LLM-integrated systems, including prompt injection, model manipulation, data poisoning, and abuse of agentic workflows, and work with teams building these systems to harden them Leverage AI-assisted tooling to accelerate reconnaissance, vulnerability discovery, and exploit development, and evaluate new AI-powered offensive techniques as they emerge Help define and mature DRW’s offensive security methodology, standards, and tooling, and mentor other engineers on the security team What We're Looking For 5+ years of hands-on experience in offensive security, penetration testing, or red teaming, including full engagement lifecycle work: reconnaissance, initial access, privilege escalation, lateral movement, persistence, and exfiltration Strong scripting or programming ability for building and adapting offensive tooling Solid understanding of networking fundamentals, Windows, macOS, and Linux internals, identity providers, and cloud platforms Practical experience with common offensive security tools (e.g., Cobalt Strike, Metasploit, BloodHound, Burp Suite, Nmap) and a track record of building your own when the situation calls for it Working knowledge of the MITRE ATT&CK framework, adversary emulation, and detection evasion techniques, along with enough understanding of defensive controls and tooling to help defenders improve A track record of clear, precise reporting and communication and you can translate technical findings into risk that both engineers and executives understand Experience with smart contract auditing and blockchain security Familiarity with AI/ML security risks, including adversarial attacks on models, prompt injection, and the offensive and defensive implications of LLM-powered tooling A collaborative mindset: you see red teaming as a way to make the whole organization more secure, not just to find flaws The annual base salary range for this position is $175,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: New York 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's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. WHAT YOU'LL DO Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats. The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey. WHAT YOU HAVE - 3+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. COMPENSATION • OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity 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-TM1 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: New York 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's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to real estate. You will build the real estate playbook — demo library, workflow templates, use cases — while running live pilots, and lead the real estate practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. WHAT YOU'LL DO Forward Deployed Finance Engineers on the real estate team are former acquisitions and real estate credit professionals who left the deal side to help build the future of how property gets underwritten. Working closely with Account Executives, they engage with real estate private equity platforms, real estate debt funds, insurer and asset-manager real estate arms, and developer-investors throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding investors through what's possible with AI, and sitting down with acquisitions teams to build screening, underwriting, and investment committee workflows in the firm's own templates and formats. The work is the work they did on the desk: OM and broker package review; rent roll and T-12 normalization; lease and estoppel abstraction; ARGUS and acquisition model builds; third-party report review (appraisal, property condition, environmental); sale and rent comps; loan document and term sheet review; and investment committee materials. It continues post-close into asset management reporting, loan compliance, and valuation support, so value compounds after the first deal. Along the way, Finance Engineers bring acquisitions-team feedback back into the product, helping shape the future of Harvey. WHAT YOU HAVE - 3+ years on an acquisitions, asset management, or real estate credit team at a real estate private equity platform, real estate debt fund, insurer or asset-manager real estate arm, or developer-investor, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, and drafting committee materials. Brokerage, valuation, or investment banking experience before the principal side is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a real estate investment decision — OM and broker package, rent roll and T-12, leases and estoppels, third-party reports, loan documents, ARGUS and Excel acquisition models — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and investment committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking or brokerage coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. COMPENSATION • OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity 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-TM1 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