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Location: South Africa; Jamaica; Ethiopia; Pakistan; Philippines; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Job Type: Part-time (24 hours/week) Location: Remote Working Hours: Eastern Time (US/Canada) About the Company Our client is an innovative AI solutions company helping municipalities and government organizations modernize their operations through intelligent technology. Their solutions include AI-powered citizen engagement chatbots, internal automation tools, and permit validation systems designed to improve public service delivery and operational efficiency. As the company expands across the US and Canadian markets, they're looking for an experienced Sales Development Representative (SDR) to drive new business opportunities and build relationships with public-sector decision-makers. Job Summary We are seeking a highly autonomous, results-driven Sales Development Representative (SDR) with proven experience selling to government organizations, municipalities, or public-sector institutions. In this part-time remote sales role (24 hours per week), you'll take ownership of outbound prospecting, lead generation, appointment setting, and closing sales opportunities across North America. This is an excellent opportunity for an experienced SDR or business development professional who understands public-sector sales cycles, can independently build a qualified pipeline, and is comfortable working in a growing AI technology company. Key Responsibilities Lead Generation & Outbound Prospecting Identify and prospect municipalities, government agencies, and public-sector organizations across the US and Canada. Independently research and engage key decision-makers through cold email, cold calling, LinkedIn, and other outbound channels. Develop targeted prospect lists and maintain a consistent pipeline of qualified opportunities. Identify potential use cases for AI-powered solutions within government organizations. Appointment Setting & Sales Closing Book qualified meetings and product demonstrations with relevant decision-makers. Conduct discovery conversations to understand organizational challenges and technology needs. Communicate the value of AI solutions to public-sector stakeholders. Manage sales opportunities from initial outreach through appointment setting and deal closing. Build relationships with prospects and navigate longer, consultative public-sector sales cycles. CRM & Pipeline Management Use Zoho CRM to manage leads, track activities, and monitor sales opportunities. Maintain accurate prospect information, meeting notes, and follow-up schedules. Independently manage pipeline progression and prioritize high-value opportunities. Track performance against lead generation, meetings booked, and deals closed. Requirements Must have proven sales experience within public-sector or governmental organizations, including municipalities, government agencies, or similar institutions. Demonstrated experience in outbound sales, business development, or SDR roles. Proven ability to independently generate leads, book qualified appointments, and close sales. Hands-on experience using Zoho CRM for pipeline management and sales tracking. Strong understanding of B2B or B2G (business-to-government) sales processes. Excellent spoken and written English communication skills. Confident engaging senior stakeholders and government decision-makers. Highly organized, self-motivated, and comfortable working independently. Availability to work 24 hours per week, aligned with the client's Eastern Time zone. Reliable laptop, stable internet connection, and professional remote working setup. Nice-to-Have Qualifications Experience selling AI, SaaS, or other technology solutions. Existing knowledge of the US or Canadian municipal and government markets. Familiarity with public-sector procurement processes and government sales cycles. Experience selling digital transformation or automation solutions. Previous experience working in a startup or growth-stage technology company. Benefits 💰 Competitive compensation 🌎 100% remote opportunity 🤖 Work with innovative AI technology 🚀 High-impact role 🎯 Autonomy and ownership

Location: San Marcos, United States; Redwood, United States; Kyle, United States; New Braunfels, United States; Wimberley, United States; Lockhart, United States Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Вести маркетинг сразу по нескольким продуктам компании. Запуск и ведение рекламных кампаний (Яндекс.Директ, таргет в соцсетях), отчётность по эффективности.

Нам нужен человек, который превратит работу с базой в управляемую систему: поймёт, кто и почему уходит, выстроит сценарии возврата и сопровождения и докажет цифрами, что они работают. Первые приоритеты - это возврат пациентов, которые давно у нас не были, и рост числа семей на годовом обслуживании.

Активно искать и «открывать»: Заниматься холодным поиском (звонки, email-рассылки, соцсети, личные контакты) и обрабатывать входящие лиды со всех каналов (сайт, конференции, тендеры). Квалифицировать и «разогревать»: Проводить первичный аудит потребностей клиента, определять ЛПР, понимать структуру бизнеса и его потенциал для нас.

Задачи: — Отвечать за рост клиентской активности: повышать частоту использования продукта, количество транзакций, глубину взаимодействия с продуктом и возвращаемость клиентов — Работать с retention на горизонте D14–D90: анализировать динамику активности клиентов, находить точки снижения вовлечённости и оттока, формировать и запускать механики удержания и оценивать их эффект — Развивать CRM-стратегию по своему направлению совместно с Product Owner и PMM: определять точки роста, сегменты, коммуникационную механику и приоритеты — Проектировать и запускать CRM-сценарии в Altcraft (CDP) на разных этапах клиентского жизненного цикла — Формировать и проверять гипотезы, проводить A/B-тесты и оценивать их влияние на продуктовые и бизнес-метрики — Ставить ТЗ на технические доработки: передачу событий и атрибутов в CDP, интеграции с внешними системами, новые триггеры и т.д — Развивать CRM-механики совместно с программой лояльности: использовать внутреннюю валюту, повышенный кешбэк и другие элементы лояльности для повышения активности и удержания клиентов. Требования: — Имеешь от 1 года опыта работы с CRM / lifecycle / retention marketing в мобильных приложениях с B2C-аудиторией — Опыт или желание разработки и управления CRM-стратегией с нуля — Опыт сегментирования базы и создания триггерных коммуникаций (push, смс, in-app, email) на основе жизненного цикла клиента — Опыт работы с различными CRM / CDP / ESP. Опыт работы с Altcraft - как преимущество — Имеешь практический опыт работы с retention и клиентской активностью: умеешь анализировать поведение и динамику активности клиентов, находить точки снижения вовлечённости и подбирать механики для их развития и удержания — Понимание взаимосвязи маркетинговых метрик с бизнес-результатами и воронкой — Умеешь работать с продуктовыми и поведенческими данными: retention, когортами, частотой активности, RFM/поведенческой сегментацией или аналогичными подходами — Желание сделать что-то новое на рынке и отсутствие страха предлагать и брать ответственность Условия: — Работа в сильной драйвовой команде — Сложные и амбициозные проекты для сервисов с сотнями тысяч пользователей. Возможность влиять на процессы и результаты в бизнесе — Здоровое взаимодействие с руководителем. Ставим на доверие и свободу, вместо микроменеджмента — Комфортную среду и дружескую коммуникацию — Оформление в аккредитованную IT-компанию. ТК РФ: больничный, отпуск — всё как положено — ДМС со стоматологией (после 3-х месяцев работы) — Зарплату в рынке, зависит от твоего уровня — готовы обсуждать — Гибридный/офисный формат работы, гибкое начало дня — Технику и любые нужные для работы устройства

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads 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: $320,000 — $405,000 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: San Francisco, CA | New York City, NY 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 Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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: $285,000 — $350,000 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: Remote - US About the Job: LaunchDarkly is looking for a Director, People Programs, Systems & Analytics to establish operational objectives, roadmaps, work plans, and operating rhythms for People programs, systems, analytics, and AI, translating the People Operations strategy and LaunchDarkly’s priorities into executable plans. Your team will develop technical and AI-assisted capabilities while  turning workforce data into analytics and insights that allow the business to make informed decisions. This role reports to the Senior Director, People Operations. In this role you will lead a small team and establish the framework for responsible AI use regarding People data. You will partner with Legal, Security, and IT, and recommend solutions that improve reporting, employee support, and efficiency. Responsibilities: Design the vision, strategy, roadmap, governance, and operating rhythms for all People programs, systems, analytics and AI, in alignment with LaunchDarkly’s business and People priorities. Manage the orchestration and successful completion of organization wide deliverables including OKRs, annual deliverables, and key projects, acting as a visible leader and facilitator within the People organization. Lead, coach, and develop a small, high-performing team, creating clarity, strong partnerships, and a culture of thoughtful execution and continuous improvement. In partnership with the Director, People Operations, ensure that programs and operating processes across the employee lifecycle, including onboarding, offboarding, employee data, documentation, compliance-related workflows, employee support, and international operations can be optimally managed through our HR tech stack with measurable, decision-informing analytics Design and evolve the People technology ecosystem, ensuring systems are integrated, scalable, secure, fit for purpose, and aligned to the employee and business experience. Establish standards for People data quality, definitions, governance, access, documentation, and stewardship, and build trusted reporting and self-service insights for People partners and business teams. Design an analytics strategy that translates workforce data into executive-ready narratives and practical recommendations across headcount, attrition, hiring, organizational health, employee experience, and workforce planning. Define a responsible AI strategy for the People function, including use-case prioritization, governance, human oversight, and adoption of solutions that improve reporting, decision-making, employee support, and operational efficiency. Partner with the Senior Director, People Operations, functional partners, and subject-matter experts to translate capability gaps into scalable learning experiences, then measure participation, effectiveness, behavior change, business impact, and equity of access. Lead change management for new systems, programs, policies, and processes, including communications, training, stakeholder readiness, adoption, and post-launch improvement. Manage vendors, dependencies, and tradeoffs, bringing structure to ambiguity and maintaining a clear view of value, risk, and long-term scalability. Qualifications: 15+ years of experience in People Operations, including 5 years leadership across People Programs, People Systems, People Analytics, or a similarly complex function. Experience should include the selection and optimization of HRIS and Talent systems at small and medium- to large-sized companies. A track record of organization-wide project and program management, designing operating models, building roadmaps, and delivering cross-functional programs at scale. Implementation and development of comprehensive data analytics, reporting, and dashboarding tools for Human Resources and Talent organizations with knowledge and experience in AI-enablement for those functions. Experience managing and developing a team and building strong cross-functional partnerships. Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. Strong understanding of how People systems, processes, data, and employee programs fit together. Experience improving HR technology, data quality, reporting, analytics, automation, or self-service decision support. Practical experience evaluating or advancing AI use cases, with sound judgment around sensitive employee data, privacy, governance, accuracy, and human oversight. Excellent written communication, prioritization, program management, and change leadership skills. About You: You are a strategic, systems-oriented People leader who connects technology, data, programs, and human experience. You can set organization-wide direction at the program level while engaging deeply enough to understand implementation details and remove barriers. You are ambitious about innovation, pragmatic about execution, and thoughtful about risk and employee trust. You are curious about People analytics and AI and disciplined about where they should and should not be applied. You are collaborative, grounded, proactive, and committed to building scalable, equitable experiences for employees and managers. What Success Looks Like: The People team has a clear, prioritized roadmap across programs, systems, analytics and AI. The People team has stronger governance, clearer processes, more reliable data, and fewer manual or fragmented workflows. People partners and business teams have trusted, actionable insights for workforce planning and People decisions, with responsible AI use cases improving efficiency and decision support. The team is engaged, growing, and recognized as a strategic partner that delivers meaningful outcomes across the company. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - 263,670 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270 ** Zone 3: All other US locations - $ 163,000 - $224,070 ** All Zones inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Dublin, Ireland About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Employer: Workato Hibernia Limited Location: 1 Grant's Row, Lower Mount Street, Dublin 2, Ireland Annual Salary: €50,000 Working Hours: 40 hours per week About the Role An excellent job for someone who is a natural salesperson wanting to learn more about tech sales - work with some of the top sales execs who previously worked at places like MongoDB, Microsoft, UiPath, Salesforce (MuleSoft) and Qualtrics. Workato is looking for talented and highly motivated, results-oriented individuals to join our expanding Enterprise sales team. In this role, you will be able to demonstrate a successful track record in remotely managing a large diverse territory of strategic accounts . You will be comfortable embracing a start-up environment where personal performance is critical and a do what it takes attitude, and entrepreneurial spirit, is celebrated . You will have the flexibility and determination to participate in any activity to ensure success as Workato’s Enterprise mission scales. Key Responsibilities Generate qualified meetings through outbound prospecting via phone, email, LinkedIn, and video outreach. Build and maintain a pipeline of opportunities within strategic enterprise accounts. Research target organizations and identify key decisionmakers and stakeholders. Partner with Account Executives to develop account strategies and execute targeted campaigns. Qualify opportunities using established sales methodologies, including MEDDPICC. Understand customer business priorities and effectively communicate the value of Workato's solutions. Achieve activity, pipeline, and opportunity generation targets. Qualifications 1+ years of SDR, BDR, or sales development experience, preferably within a SaaS environment. Proven track record of meeting or exceeding sales targets. Experience with sales qualification frameworks such as MEDDPICC, Sandler, or Force Management. Familiarity with account-based selling and enterprise prospecting. Experience using CRM and sales engagement tools such as Salesforce, Outreach, Sales Navigator, or similar platforms. Strong communication, research, and relationship-building skills. Excellent business acumen with the ability to connect business challenges to technology solutions. Self-motivated, adaptable, and comfortable in a fast-paced, high-growth environment. Collaborative team player with a customer-first mindset.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Compliance Analyst conducts day-to-day monitoring, triage, and execution of electronic communications surveillance across email, chat, messaging platforms, and digital communication channels. Working within established procedures and SLAs, this role executes high-volume alert processing, identifies potential risk indicators, and escalates non-standard cases. This role reports to the Director of Anti-Bribery, Corruption & Conduct and supports the team by leveraging AI-assisted tools and ensuring high precision in daily surveillance operations. What You’ll Be Doing Operational Surveillance & Risk Detection Execute Primary Triage: Perform daily review and triage of e-communications alerts across email, chat, text, and messaging channels within target SLA timelines. Identify Risk Indicators: Apply foundational compliance and regulatory guidelines to detect potential policy breaches, misconduct, or operational risk indicators. Maintain Audit-Ready Records: Execute precise data entry and case logging to ensure complete, compliant documentation for audit trails. Case Processing & Escalation Gather Case Context: Conduct initial background gathering and evidence collection on flagged communications to support case evaluations. Draft Clear Case Notes: Prepare structured, fact-based summaries outlining key findings for non-standard alerts requiring upper-level review. Escalate Complex Issues: Promptly escalate ambiguous, high-risk, or complex matters to senior analysts and leadership. Operational Efficiency, AI & Continuous Improvement Meet Volume & Quality Targets: Consistently hit daily output targets (KPIs) while maintaining strong precision in case evaluations. AI Tooling & Automation: Utilize AI-assisted surveillance platforms, prompt engineering, and automated workflow enhancements to streamline alert review and triage quality. Support Lexicon & Model Tuning: Identify recurring false positives and operational bottlenecks, providing feedback to help refine alert parameters and ML /AI model accuracy Drive Process Enhancement: Bring strong intellectual curiosity and a proactive mindset to continuously challenge existing surveillance workflows, proposing innovative ways to improve operational efficiency. Expand Domain Knowledge: Actively participate in ongoing training to build technical expertise across crypto regulations, market conduct rules, and emerging compliance technologies. What We Look For In You Mandarin Language Proficiency: Fluent in Mandarin (written and spoken) to support regional, cross-border, and multi-lingual e-communications surveillance across global team channels. AI & Technical Aptitude: Hands-on experience working with AI-driven compliance tools, large language models (LLMs), or automated workflow tools to enhance daily analytical tasks. Mindset & Drive: Strong curiosity and an inherent drive to continuously refine processes, automate repetitive tasks, and elevate overall team performance. Analytical Skills: Strong attention to detail with the ability to synthesize unstructured text data, spot nuances, and present concise findings. Education / Experience: BA/BS in Finance, Law, Business Administration, or a related field (or equivalent practical experience). Nice to Haves Prior exposure to specialized e-communications surveillance software (e.g., Smarsh, Behavox, Relativity) or lexicon/keyword monitoring tools. Understanding of market abuse indicators, insider trading, or conduct risk concepts within financial services or digital assets. Background in crypto, digital assets, Web3, or multi-lingual operational support. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $53,000 - $79,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York City, NY Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: The Senior Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments. Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work. This is a senior, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly. Key Responsibilities Strategic Deal Engagement Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos. Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution. Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee. Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership. Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs. Influence the successful closing and win rates of strategic accounts in collaboration with the sales team. Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below). Internal Team Partnership Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against. Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc. Build and maintain demo environments used for events or sales cycles. Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market. Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio. Qualifications We are looking for an experienced practitioner who lives at the intersection of legal practice and technology. Candidates may have experience such as the following: A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice. A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent. An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams. In addition, candidates should have: Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership. Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences. Dynamic storytelling ability with a persuasive, executive-ready presentation style. A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly. Travel & Location This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation Compensation Information: $185,000 - $225,000+   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. WHAT YOU'LL DO - Lead and grow a team of engineers building the core AI platform that powers Harvey’s products - Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems - Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives - Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence - Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities - Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt - Contribute to code and architecture reviews, unblock teams, and lead by example when needed - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment WHAT YOU HAVE - 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments - 5+ years of experience as a backend, infrastructure or ML/AI engineer - A track record of leading high-performing, engaged engineering teams - Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) - Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them - Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts - Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems - A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AP1 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: Chicago, IL Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: The Senior Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments. Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work. This is a senior, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly. Key Responsibilities Strategic Deal Engagement Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos. Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution. Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee. Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership. Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs. Influence the successful closing and win rates of strategic accounts in collaboration with the sales team. Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below). Internal Team Partnership Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against. Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc. Build and maintain demo environments used for events or sales cycles. Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market. Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio. Qualifications We are looking for an experienced practitioner who lives at the intersection of legal practice and technology. Candidates may have experience such as the following: A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice. A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent. An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams. In addition, candidates should have: Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership. Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences. Dynamic storytelling ability with a persuasive, executive-ready presentation style. A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly. Travel & Location This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation Compensation Information: $185,000 - $225,000+   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: San Francisco Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: The Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments. Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work. This is a high-impact, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly. Key Responsibilities Strategic Deal Engagement Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos. Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution. Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee. Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership. Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs. Influence the successful closing and win rates of strategic accounts in collaboration with the sales team. Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below). Internal Team Partnership Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against. Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc. Build and maintain demo environments used for events or sales cycles. Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market. Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio. Qualifications We are looking for an experienced practitioner who lives at the intersection of legal practice and technology. Candidates may have experience such as the following: A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice. A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent. An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams. In addition, candidates should have: Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership. Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences. Dynamic storytelling ability with a persuasive, executive-ready presentation style. A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly. Travel & Location This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation Compensation Information: $185,000 - $225,000+   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring an Enterprise Sales Lead to define and build the commercial opportunity for our emerging agentic products. You’ll identify where this technology solves meaningful customer problems, build relationships with enterprise buyers, and turn early interest into commercial deployments. This role combines hands-on enterprise selling with product and GTM development. Working closely with our CTO, product, and engineering teams, you’ll help determine what we sell, who we sell it to, and how we package it. You should be comfortable taking an emerging capability to customers, learning quickly, and helping shape the offering as you build the business. We’re building this effort with a small, focused team that works directly with customers, prototypes quickly, and turns promising technology into products people will use. Joining this team means helping define a new product category, its customer experience, and the business around it. You’ll have the opportunity to shape how businesses participate in the agent economy and bring that vision to market. WHAT YOU’LL DO - Develop the enterprise sales and GTM strategy for our agentic products, identifying priority industries, buyers, use cases, and routes to market. - Bring an established network of enterprise relationships and build new connections with decision-makers across commerce, services, and/or relevant regulated industries. - Own the sales process from customer discovery and qualification through pilots, negotiation, and commercial agreements. - Work directly with prospective customers to understand their workflows, business priorities, and requirements for deploying AI agents. - Partner with product and engineering to translate customer needs into product requirements, demonstrations, and commercially compelling offerings. - Help define positioning, packaging, pricing, and pilot structures, testing assumptions through customer conversations and actual deals. - Build a repeatable approach to moving customers from early experimentation into production and broader adoption. - Establish pipeline discipline, communicate market feedback, and help the team prioritize opportunities with the strongest commercial potential. WHAT YOU’LL BRING - 12+ years of Enterprise Sales experience, with a track record of closing complex agreements and building trusted executive relationships. - Meaningful startup experience, including building a new sales motion, launching an offering, or winning early enterprise customers. - An established network of buyers in enterprise commerce, retail, services, or regulated industries. - Experience selling technical products and translating emerging technology into clear business value. - Direct involvement in shaping product positioning, packaging, pricing, or GTM strategy alongside product and engineering teams. - Strong customer discovery skills and the judgment to distinguish a repeatable market opportunity from a one-off request. - A hands-on approach: you’re comfortable prospecting, running discovery, developing proposals, and closing deals yourself. - Comfort with ambiguity, rapid iteration, and a product that will evolve through customer engagement. NICE TO HAVE - Experience selling AI agents, commerce platforms, payments, trust and security products, or enterprise workflow software. - Familiarity with customer journeys such as shopping, returns and refunds, reservations, ticketing, or insurance servicing. - Experience navigating enterprise procurement, security reviews, and requirements for controlled or regulated workflows. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Key responsibilities Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration Create streamlined processes for rapid evaluation and execution of technical talent acquisitions Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams Drive post-transaction integration efforts, ensuring successful realization of strategic objectives Develop financial models and valuation analyses to support investment decisions Present strategic recommendations to executive leadership and board members Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) Demonstrate exceptional analytical and financial modeling skills Have experience leading complex M&A transactions or strategic partnerships in technology sectors Excel at building relationships and can effectively engage with technical and business stakeholders Are comfortable operating in fast-paced, ambiguous environments with competing priorities Possess outstanding communication skills, both written and verbal, with ability to influence at all levels Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies Have direct experience in AI/ML companies or deep learning research environments Bring an established network within the AI startup ecosystem and venture capital community Have led post-merger integration efforts or built new business units from the ground up Possess an MBA or advanced technical degree Have experience negotiating complex strategic partnerships with major technology companies Demonstrate a track record of identifying and executing transformational opportunities Show experience with international expansion or cross-border transactions 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: $325,000 — $425,000 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.