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Location: Dubai, United Arab Emirates We are looking for a highly experienced and technology-driven Senior Procurement Officer to join our real estate development team. This role is ideal for a procurement professional who understands traditional procurement operations and can leverage AI, automation tools, and digital workflows to streamline and automate procurement processes . The successful candidate will manage procurement activities, coordinate with suppliers and vendors, negotiate commercial terms, and ensure the timely procurement of materials and services. In addition, they will identify manual, repetitive, and inefficient processes within the procurement department and implement practical automation solutions to improve efficiency, accuracy, transparency, and cost control. Candidates with experience in real estate development, construction, contracting, or engineering projects will be strongly preferred. Key Responsibilities Procurement & Vendor Management Manage end-to-end procurement activities, from identifying requirements and sourcing suppliers to purchase orders, delivery coordination, and invoice verification. Source, evaluate, negotiate with, and maintain relationships with vendors, suppliers, contractors, and service providers. Obtain and compare quotations, prepare bid comparisons, and recommend suppliers based on price, quality, lead time, reliability, and contractual terms. Negotiate pricing, payment terms, delivery schedules, and other commercial conditions to achieve cost savings. Coordinate with project, engineering, finance, and site teams to understand procurement requirements and ensure timely availability of materials and services. Manage purchase requisitions, purchase orders, supplier documentation, delivery tracking, and invoice coordination. Maintain an updated supplier database, procurement records, contracts, and pricing information. Monitor supplier performance, resolve procurement-related issues, and ensure compliance with company policies and approval procedures. Support procurement planning, budget control, cost analysis, and reporting. Where applicable, manage procurement of construction materials, building supplies, MEP materials, equipment, subcontracted services, and other project-related requirements. AI, Automation & Process Improvement Review existing procurement workflows and identify opportunities to automate manual and repetitive tasks. Design and implement AI-powered and rule-based workflows for procurement operations. Automate processes such as purchase requisitions, quotation collection and comparison, purchase order preparation, supplier onboarding, document processing, approval workflows, and procurement reporting. Implement automated extraction and processing of information from quotations, invoices, purchase orders, contracts, and other supplier documents. Use AI tools to assist with supplier research, quotation analysis, document summarisation, procurement reporting, and data organisation. Develop automated tracking systems for purchase requests, order status, delivery timelines, pending approvals, contract expiry dates, and supplier follow-ups. Integrate procurement workflows with existing ERP systems, spreadsheets, databases, and other business tools wherever feasible. Establish automated alerts, dashboards, and reports to improve visibility into procurement costs, supplier performance, order status, and potential delays. Identify opportunities to reduce processing time, manual data entry, errors, and unnecessary administrative work. Work with relevant stakeholders to implement, test, document, and continuously improve automation solutions. Ensure appropriate human review, data accuracy, confidentiality, and approval controls for AI-assisted procurement decisions. Requirements Minimum 5+ years of experience in procurement, purchasing, or supply chain operations , preferably in real estate development, construction, contracting, or engineering. Strong practical knowledge of end-to-end procurement processes and supplier/vendor management. Demonstrated experience implementing AI tools, workflow automation, or digital process improvements in procurement or related business operations. Ability to identify manual processes and independently develop practical solutions to automate them. Hands-on familiarity with AI tools and automation platforms such as ChatGPT, Claude, Microsoft Power Automate, Make, Zapier, n8n, or equivalent tools. Experience with Excel automation, structured data processing, document extraction, reporting, and workflow integration. Strong understanding of quotation comparison, purchase orders, supplier negotiations, procurement documentation, delivery tracking, and cost control. Experience working with ERP, procurement management, accounting, or inventory systems is an advantage. Strong analytical, organisational, negotiation, and problem-solving skills. Ability to work independently, manage multiple priorities, and collaborate across departments. A practical, improvement-oriented mindset with the ability to turn automation ideas into working solutions. Previous procurement experience with a real estate developer, construction company, or main contractor. Familiarity with construction materials, MEP procurement, subcontractor sourcing, and project-based purchasing. Experience automating purchase-to-pay workflows, supplier documentation, invoice processing, or approval systems. Ability to demonstrate previous automation projects, measurable efficiency improvements, or workflow examples. We are looking for someone who can do more than manage purchasing activities - we need a procurement professional who can transform how the department operates through AI and automation. Benefits Competitive salary package based on experience and expertise. Employment visa and medical insurance, in accordance with company policy. Annual leave and other benefits in accordance with UAE Labour Law. Opportunity to lead and implement AI-driven procurement transformation initiatives. Professional development and exposure to emerging AI and automation technologies. Opportunity to work on real estate development and construction-related procurement projects. Collaborative working environment with opportunities to work closely with procurement, finance, engineering, and project teams. Opportunity to make a measurable impact by improving operational efficiency, reducing manual work, and optimising procurement costs. Career growth opportunities within a growing real estate development company.

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 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: 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: 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: Los Angeles, CA or Remote Workplace: onsite Role Description Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.  This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline. You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.  We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it. What You'll Own: Inbound Growth & Demand Own performance across the inbound marketing funnel, from acquisition through qualified opportunity. Understand how prospects discover, engage with, convert through, and progress across marketing channels. Identify gaps, friction, and growth opportunities throughout the buyer journey. Partner with the Director of Marketing to connect organic visibility to measurable business outcomes. Develop a holistic view of inbound performance across all three brands. Paid Acquisition & Performance Marketing Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels. Manage and optimize paid marketing budgets. Determine where investment should increase, decrease, or be tested based on performance. Develop audience, offer, channel, and campaign testing strategies. Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume. Manage paid media agencies, freelancers, and specialized partners. Campaign Activation & Distribution Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs. Develop distribution and amplification plans around major campaigns and content. Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies. Ensure campaigns have clear paths from awareness and engagement to conversion. Find opportunities to extend the reach, performance, and business value of existing content and creativity. Conversion Rate Optimization Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths. Partner with the Director of Marketing and creative resources on messaging and creative variations. Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices. Retargeting, Lifecycle & Lead Nurture Develop strategies for continuing to engage prospects after their initial interaction. Build retargeting audiences and programs across relevant channels. Develop lifecycle segmentation and nurture strategies. Partner with fractional Marketing Operations support on automation and technical implementation. Improve progression from initial engagement to qualified opportunity. AI-Native Marketing & Execution Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant. Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting. Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis. Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution. Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves. Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations. Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable. Growth Experimentation Maintain a prioritized growth experimentation roadmap. Move quickly from hypothesis to execution Scale what works and stop what doesn't. Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned. Performance Analytics & Attribution Connect marketing activities to measurable business outcomes. Understand performance across visitor → lead → qualified lead → opportunity → pipeline. Establish KPIs for campaigns and acquisition programs. Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI. Turn performance data into recommendations and actions, not simply dashboards. Help leadership understand what's working, what's not, why, and what Marketing should do next. Partnership With the Director of Marketing This is designed to be a close counterpart relationship between two distinct areas of marketing expertise. The Director of Marketing owns the market-facing strategy : overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV. The Growth Marketing Lead owns the performance engine : acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement. You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning. At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy. Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes. Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating. Fractional Marketing Operations Partnership The Growth Marketing Lead will work closely with a fractional/retained Marketing Operations resource who can support the technical infrastructure required to run and measure the growth engine. This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure. You don't need to personally administer every system. You do need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions. You will effectively serve as the business owner of marketing performance , with specialized Marketing Operations support helping i What Success Looks Like: Success will be measured through outcomes including: Marketing-sourced pipeline Qualified opportunities generated Inbound conversion rates Cost per qualified lead and opportunity Lead-to-opportunity conversion Paid acquisition efficiency Landing-page and website conversion Funnel velocity Growth experiment performance Improved visibility and confidence in marketing performance across the portfolio Experience We're Looking For: 3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology. Demonstrated experience owning multi-channel inbound acquisition programs. Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing. Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline. Experience with landing-page optimization, CRO, A/B testing, and structured experimentation. Experience building retargeting, nurture, and lifecycle programs. Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue. Experience working with CRM, marketing automation, attribution, analytics, and reporting systems. Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge. Strong analytical skills and the ability to translate data into clear recommendations and actions. Experience managing agencies, freelancers, vendors, and specialized external resources. Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources. Comfortable balancing strategic thinking with hands-on execution. Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful. How We Work: You have a startup mindset. You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner. We trust your expertise. There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results. You're collaborative and dynamic. You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own. You move fast. We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again. You take ownership. If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate. You're a team player. We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal. You're adaptable. Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace. You're AI-native. AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work. You're comfortable with cybersecurity. You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance. You care about outcomes more than activity. Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it. And we genuinely enjoy working together! Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here. What We Offer: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: New York, 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 We are seeking a Market Surveillance Analyst to join our Compliance team. This role is focused on the day-to-day review and investigation of potential market abuse activity. You will use surveillance tools, trading data, and market research to assess alerts and produce timely, well-reasoned investigations supported by clear quantitative and qualitative evidence. The role requires understanding of markets, exchange products, and order-book dynamics, alongside sound judgment. You will work closely with Product, Engineering, Legal, Risk, Central Compliance, and local Compliance teams to support a robust and continuously improving surveillance framework. You will maintain complete, accurate, and audit-ready investigation records, while contributing to special projects and priority requests in a fast-paced global environment. What You’ll Be Doing Investigate potential market abuse activity, including wash trading, circular trading, price ramping, insider trading, spoofing, layering, and other related activities. Review and analyze surveillance alerts using industry-leading tools and platforms. Produce thorough, high-quality investigations supported by clear evidence and well-documented conclusions. Use data, research, and analytical skills to conduct both quantitative and qualitative assessments. Partner with Product, Engineering, Legal, Risk, Central Compliance, and local Compliance teams to strengthen and continuously improve the Surveillance function. Maintain complete, accurate, and audit-ready documentation for alerts and investigations. Support priority requests and special projects in a fast-paced, evolving environment. What We Look For In You BA/BS in a related technical field or equivalent practical experience. 2-3 years of experience in market surveillance, trade surveillance, or closely related field. Familiarity with end-to-end market surveillance workflows. Strong understanding of the digital-asset industry and products offered by digital-asset exchanges. Knowledge of market structure and order-book dynamics. Working knowledge of relevant regulatory and compliance requirements. Strong integrity, sound professional judgment, and the ability to recognize when an issue requires escalation. A self-motivated, proactive approach, with the ability to work independently in a fast-paced global environment. Nice to Haves Familiarity with commonly used trade surveillance & reporting tools. Professional AML/ATF compliance training or accreditation (e.g. ICA or CAMS). Practical knowledge of CeFi trading products, including spot, derivatives, margin or leveraged products, institutional services, and OTC flows. 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 $75,000 - $113,000 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: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. What you will do - Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs. - Build representative benchmarks and regression tests for real meeting audio. - Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology. - Use error analysis to decide which model, data, or pipeline changes will improve transcription quality. - Improve inference across accuracy, latency, throughput, reliability, and cost. - Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved. - Experience training, fine-tuning, or adapting deep learning models using real-world audio data. - Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience deploying, monitoring, and maintaining production ML systems. Nice to have - Multilingual ASR, accent robustness, domain adaptation, or diarization. - Streaming speech recognition and low-latency inference. - MLOps, evaluation, or data pipelines for speech systems. - Experience with meeting transcription, voice agents, or enterprise speech products. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Hybrid About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware. Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data. What you will do - Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior. - Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches. - Build data collection and evaluation pipelines using real-world and simulated robotics data. - Integrate models with robotics software, sensors, actuators, and control systems. - Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes. - Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment. What you will need - 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems. - Hands-on experience developing and evaluating ML-enabled systems on physical robots. - Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework. - A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area. - Experience with robotics data, simulation, experiment design, and evaluation on real hardware. - Practical understanding of sensors, actuators, control loops, latency, and hardware debugging. Nice to have - Vision-language-action models, multimodal foundation models, or generative world models. - Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms. - Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection. - C++, low-level control, tactile or force sensing, or real-time systems. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production. What you will do - Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods. - Improve how agents plan, use tools, manage execution, and recover from errors. - Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures. - Generate and curate training data, including agent trajectories and difficult cases from target workflows. - Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks. - Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method. - Experience building agent systems involving tool use, multi-step execution, and error recovery. - Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost. Nice to have - Reward modeling or verifier-based training. - Long-context training, memory systems, retrieval, or context compression. - Distributed training or high-performance LLM serving. - Experience delivering agents for complex enterprise, coding, or research workflows. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Boulder, CO Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY HALTER Halter makes solar-powered smart collars that let farmers and ranchers move, fence and monitor their cattle from their phone, without physical fences. Founded in New Zealand in 2016, Halter is now used across New Zealand, Australia and the United States, and is backed by investors including Bessemer Venture Partners, DCVC, Blackbird and Rocket Lab founder Peter Beck. North America is our next big chapter. Our Boulder team is growing quickly, and the people decisions we make now, about how we hire, organize and lead, will shape the business for years. This role is a chance to build those foundations at a company with proven technology and a mission that matters: more productive and sustainable farming and ranching. ROLE PURPOSE As Head of Partnering - North America, you'll be the most senior People & Performance leader for our North American business. You'll partner with executives to build strong, high-performing teams, and build and lead a team of People Partners across the region. The role is both strategic and hands-on, and needs strong judgement, commercial awareness and the ability to cut through inertia. Halter is headquartered in New Zealand, so you'll also be the link between North America and our People & Performance team there, making sure North America has a strong voice in company-wide decisions and that our teams here stay connected to Halter's culture. Expect regular work across time zones, including some early morning or evening meetings, and occasional travel to New Zealand as well as other Halter locations. The role is based in our Boulder, Colorado office, and like the rest of Halter, we work office first. RESPONSIBILITIES Executive Partnering and Organizational Design - Partner with executives and senior leaders across North America on people strategy, organisational design, workforce planning and succession. - Coach leaders on leadership, performance and team effectiveness, using data to inform decisions on structure, engagement and retention. - Support leaders through scaling and structural change, keeping accountability and decision-making clear. Building and Leading the Partnering Team - Build, lead and develop a high-performing team of People Partners across North America, with clear standards for how we partner. - Prioritise across competing demands and put resources where they add the most value. Performance, Talent and Culture - Run performance management, feedback and calibration, and coach managers on developing talent and addressing underperformance. - Partner with Talent and Programmes to attract, develop and retain talent, including career pathways for technical and specialist roles. - Help leaders build inclusive, engaged teams, and spot engagement or retention risks early. - Handle employee relations matters with care, fairness and sound judgement. Working with our New Zealand Headquarters - Represent North America in global People & Performance leadership discussions, so regional needs shape company-wide decisions from the start. - Judge when North America should follow the global approach and when it needs its own, making sure our policies meet local employment law. - Partner with function leaders in New Zealand whose teams include people based in North America, making sure those employees get consistent leadership and support. - Make decisions independently when time zones mean headquarters isn't available, and keep the right people informed. - From time to time, support global initiatives and teams outside North America. WHAT SUCCESS LOOKS LIKE - Leaders across North America see you as a trusted partner who helps them act quickly and well on people matters. - Your team is well regarded and gives consistent, practical support. - Team structures are clear, performance issues are dealt with promptly, and managers are more confident leading their teams. - We attract and keep key talent, and succession pipelines are clearer. - North America has a strong voice in global people decisions, and North American employees feel as supported and connected as those at headquarters. WHAT WE'RE LOOKING FOR - 10+ years as a strategic Human Resources Business Partner, People and Performance Partner or equivalent in a high-growth or complex global organisation, including experience leading a team of partners. - Experience as a senior People leader in a regional business of a company headquartered in another country, ideally where that region was growing quickly or was critical to the company's strategy. - Skilled at influencing senior leaders you don't report to, across countries and functions. - Experience partnering across functions such as Sales, Marketing, Customer Success, Operations and field teams, and strong knowledge of North American employment law. - Hands-on experience with organisational design, performance management and scaling teams through change. - A confident communicator and trusted advisor who builds credibility quickly in fast-paced environments. OUR BENEFITS - Employee Stock Ownership Plan (ESOP): Own a part of Halter and share in our growth and success - Unlimited PTO: Take time off when you need it—no accrual required, available from day one - Employee Assistance Program (EAP) & paid wellness leave: Access confidential support through JustWorks plus 3 paid wellness days per year - Comprehensive health benefits: Medical, dental, and vision coverage starting the first day of the month after you join (with most premiums covered, including 100% of employee-only health premiums on select plans) - Personal growth fund: $750 USD per year to support learning, development, or personal growth goals - Parental leave: 16 weeks paid leave for birthing parents and 8 weeks paid leave for non-birthing parents - 401(k): 100% match on the first 3% contributed, plus 50% match on the next 2% (up to a 4% employer match), with immediate vesting - Onboarding travel to New Zealand: Fly to NZ for onboarding at Halter HQ in Auckland—meet the team, visit a test farm, and immerse yourself in all things Halter OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

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.

Location: Salt Lake City, Utah, United States About the Role iCapital is looking for a Client Delivery Specialist Associate to join the Data Solutions team. This role will set up and maintain the financial software applications we utilize, assist clients with issues, work on special projects, and help with ad-hoc tasks associated with building an innovative company. This role is a mix of finance and technology. Responsibilities Financial reporting and data aggregation tools: Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects. Perform analysis of private equity and hedge fund statements for input into the system Work with clients and partners to resolve data issues. Develop and strengthen client relationships: Help manage client onboarding, client account setup and training and day-to-day support and issue management. Software maintenance and setup: Perform system setup and configuration, new client setup, new financial account and asset set-up and classification. Assist in data feed management. Create custom reports based on client-specific needs. Liaise with the vendor partners for enhancements, and system and data issues. Work as part of a team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development and adoption of policies, procedures, and controls. Assess and act upon client and company needs proactively. Qualifications 3-5 years of experience in a related field Bachelor's degree from an undergraduate program Excellent customer service skills and the ability to foster and maintain effective relationships Strong understanding of financial instruments Experience with RIA/Wealth management policies, procedures, and client service Experience working with wirehouses or custodians Organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools, and applications: Able to learn new software quickly Experience with Addepar, Black Diamond, Axys, APX, Orion, Archway, Solovis, Masttro, or similar wealth management platforms Experience with planning tools such as eMoney, MoneyGuidePro, or similar software Strong MS Excel and PowerPoint skills Basic knowledge of database concepts, and any type of programming Working knowledge of Photoshop, HTML design, and/or similar tools Knowledge of various financial products and indices, particularly: Liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA Alternative investments Performance reporting calculations and methodologies Portfolio management and rebalancing How Family Offices, RIAs, and investment advisors work Critical thinker, that possesses strong problem-solving skills and can summarize information clearly and concisely, both written and verbal Collaborative and able to thrive in a team environment while working independently Able to learn quickly and adapt to an expanding environment Benefits The base salary range for this role is $80,000 to $90,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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: $380,000 — $450,000 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 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance Lead to provide finance leadership for our network infrastructure. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to optimize our networking investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of networks, from the monthly cost of connectivity and colocation to the long-range planning of fiber and data center builds. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for network capex and opex, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for network infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop expertise in connectivity, colocation, and equipment contracts, pricing structures, and cost drivers, and surface optimization opportunities Subject matter expert on Anthropic’s network buildout, source of truth and plan of record Support the implementation and management of financial planning and procurement tools, ensuring our models and processes scale with the organization Analyze the economics of build, lease, and service options for network capacity, including ROI across dimensions like term, route, and ownership, and distill into actionable framework for capacity planning and deployment Partner closely with network engineering teams to understand how capacity, lead times, and site readiness scale, and translate those technical dynamics into financial frameworks Minimum qualifications Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in network, telecom, or large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with telecom, datacenter, or network infrastructure experience 3+ years of experience specifically in network infrastructure financial management Experience working directly with major carriers, colocation providers, or hardware vendors MBA or other advanced degree in finance, economics, or business Expertise in connectivity, equipment, or lease economics, contract structures, and pricing models Experience with capital project or long-lead equipment economics Proficiency with financial modeling tools and languages (SQL, Python, Excel) Experience building a computer, homelab, or home network from scratch 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: $240,000 — $325,000 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.