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Location: Fort Lauderdale, United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Salary: $45,000 base + uncapped commission. Most reps earn $55K-$70K in year one. Role Type: Full-time Location: Fort Lauderdale, FL. On-site for your first 90 days, then hybrid About the Company Our client is one of the leading outsourced sales development companies in the US. They build and run phone-first sales teams for B2B tech companies, from fast-growing startups to names like Honeywell, PTC, SurveyMonkey and OpenText. Inc. 5000 fastest-growing private company five years in a row Employee-owned, so the team shares in the company’s success 170+ people across offices in Woburn, MA and Fort Lauderdale, FL Promote-from-within culture, with promotion reviews at 90 days and 6 months A great place to start a career in tech sales and grow fast. Job Summary We're hiring Entry-Level Sales Development Representatives (SDRs) to join a high-energy, on-site sales team in Fort Lauderdale, Florida. No previous B2B sales experience or college degree is required. We're looking for ambitious, confident, and highly motivated individuals who are great communicators, eager to learn, and excited by the opportunity to build a career in tech sales. You'll be responsible for reaching out to potential business customers on behalf of B2B technology clients, starting conversations with decision-makers, identifying opportunities, and booking qualified meetings for sales teams. If you're competitive, coachable, comfortable speaking with people, and motivated by achieving targets, this could be the perfect opportunity for you. Key Responsibilities Conduct outbound prospecting calls to potential business customers on behalf of B2B technology clients. Identify and engage decision-makers at companies that could benefit from your clients' products and services. Book qualified meetings and appointments for Account Executives and sales teams. Deliver confident, engaging, and professional conversations over the phone. Research potential customers and identify relevant business opportunities. Maintain accurate prospect information and track sales activities using CRM software. Collaborate with sales managers and team members to improve outreach strategies and results. Participate in sales training, coaching sessions, and performance reviews to continuously develop your skills. Work toward individual and team targets in a fast-paced, performance-driven environment. Requirements Strong communication skills: Clear, confident, and articulate, especially over the phone. Customer-facing experience: Previous experience in sales, customer service, retail, hospitality, or a similar role. Driven and competitive: High-energy, ambitious, goal-oriented, and motivated to succeed. Coachable and resilient: Eager to learn, receptive to feedback, and comfortable handling rejection. Strong work ethic: Proactive, reliable, and comfortable in a fast-paced, target-driven environment. On-site availability: Able to work full-time from the Fort Lauderdale, FL office. Nice to Haves Previous B2C sales or telesales experience, particularly candidates looking to transition into B2B tech sales. Experience in commission-based sales, such as door-to-door, solar, or cruise line sales. Background in financial services or insurance, including financial advisors and independent insurance agents. Recent graduates, particularly in finance or business, or students with B2B sales internships. Exposure to cold calling, outbound prospecting, lead generation, or CRM tools. Interest in SaaS, technology, or B2B sales (industry experience is not required). Benefits 🚀 Opportunity to work with a growing, ambitious sales team. 🤝 Structured onboarding, hands-on support, and team collaboration. 💼 Long-term career opportunities with a high-growth business. 🏢 Collaborative, on-site working environment.

Location: Limassol, Cyprus Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets. Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a fast-paced environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change. If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out. Responsibilities Perform AML Officer duties, including source-of-funds checks and customer onboarding in line with the Company’s Customer Acceptance Policy. Review KYC/CDD documentation and monitor customers’ economic profiles and ongoing activity. Investigate monitoring alerts, identify suspicious activity and escalate concerns in accordance with internal procedures. Develop, maintain and monitor the effective implementation of the AML Manual, compliance policies, procedures and controls. Advise employees on AML and compliance matters and support the consistent application of internal requirements. Assist with the preparation of the Annual AML Compliance Officer Report for the Board of Directors. Handle or coordinate responses to requests and enquiries from MOKAS, CySEC and other relevant regulators. Develop and conduct checks under the Compliance Monitoring Programme, document findings and follow up on remedial actions. Monitor regulatory developments, assess their impact on the Company and support implementation of required changes. Prepare compliance reports, support internal and external audits, coordinate compliance matters across departments and deliver induction and ongoing staff training. Requirements 3+ years of relevant AML and/or compliance experience in a regulated financial services company, such as a bank, investment firm, broker, payment institution or fintech. Practical knowledge of AML/CFT requirements, including KYC/CDD, source-of-funds checks, client monitoring, suspicious activity escalation and compliance controls. Familiarity with Cyprus and EU financial services regulation. Experience dealing with CySEC and MOKAS is an advantage. Strong analytical, organisational and communication skills, with the ability to work effectively across teams and handle confidential matters. Fluent English is required. Knowledge of Greek or Russian would be an advantage. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Visa sponsorship for the employee and their family members; Relocation package, including reimbursement for flights and accommodation for 1 month; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: Johannesburg, South Africa FP Markets Group of Companies is a well-established multi-regulated broker, found in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Head of Business Development and Education at our officein Johannesburg. We are seeking an experienced and results-driven Head of Business Development and Education to drive the growth of our company in the region of South Africa. The ideal candidate will have a strong background in financial markets, a proven track record of acquiring and educating clients or partners (such as IBs and affiliates), and a deep understanding of the retail and/or institutional trading landscape. Reporting to: Head of Africa Responsibilities: 1. Business Development & Growth Develop and execute the company's South African business development strategy. Identify and build relationships with high-value partners, introducing brokers, affiliates, educators, trading communities, influencers and other strategic partners. Develop new acquisition and distribution channels across South Africa. Build and manage a strong pipeline of strategic opportunities. Negotiate and structure commercial partnerships that create sustainable growth. Identify emerging market opportunities and develop initiatives to capture them. Represent the company at industry events, conferences, seminars and networking opportunities. Establish a strong local brand presence within the South African forex and financial markets community. Work closely with senior management to develop and execute ambitious growth targets. 2. Education Division Leadership Take ownership of the company's education strategy and educational offering in South Africa. Personally deliver physical educational sessions from our dedicated Training Floor, catering to both beginner and experienced traders. Develop and oversee educational programmes covering forex, trading, financial markets, risk management and related topics. Build a scalable education ecosystem including webinars, workshops, seminars, online programmes and community-based learning. Recruit, manage and develop educators, trainers, analysts and guest speakers. Ensure educational content is accurate, engaging, professional and aligned with applicable regulatory and compliance requirements. Develop partnerships with educational institutions, trading communities an relevant organisations. Create educational initiatives that increase brand awareness, engagement and long-term customer value. Establish clear standards and processes for educational quality. Candidate Requirements Proven experience in forex, financial markets, trading or financial services. Strong business development and sales experience, with a proven track record of generating growth and building partnerships. Established network within the South African trading and financial markets community. Strong trading knowledge and practical market experience, with the ability to confidently educate both beginners and experienced traders. Excellent presentation, communication and interpersonal skills. Experience providing one-on-one coaching, mentoring or financial markets education is highly desirable. Proven ability to build relationships, lead initiatives and work independently. Professional, entrepreneurial and results-driven mindset. Our offer: Welcoming, young and multicultural team with approachable leadership Ability to contribute to dynamic business at a growth phase High level of autonomy, support of ideas and putting your expertise into the best practices for the company Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders Competitive remuneration, regular salary reviews and performance-based incentive schemes Vibrant company life: from team activities to global celebrations On-site job at the office Journey to FP Markets: Interview with HR (30 - 45 min) to assess match to our culture Interview with your future manager (45 min - 1 hour) to assess match to the job and the team and discuss role expectations Test task if applicable Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment! Please kindly send your CV in English and specify your salary expectations in USD

Location: Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box Consulting is a fast growing team helping customers rapidly deploy, maximize value, and deeply integrate Box into their enterprises. Your proven ability to work creatively and analytically on complex, multi phase engagements with the most strategic of customers will help you build, manage, and scale your team in highly engaged environment.  Excellent communication, leadership, and management skills enable you to grow the team's professional development while staying highly engaged with customers - an opportunity for your team to learn the depth of your delivery expertise on the job. Box is growing fast. Real fast. Every business in the world is looking to modernize the way they work. As the leader in intelligent content management, Box is the only company that can help enterprises transform how people work together.  Your years of experience with project management and business process design, combined with expert knowledge of internal processes and related systems, empower you to be an influential leader within Box Consulting and more broadly across all of Box. WHAT YOU'LL DO As a Manager, you will be scaling a world-class team, working closely with our customers as a thought leader, shape & evolve consulting delivery offerings, and drive new business with your sales partners.  You will bring the energy and expertise to inspire our customers and influence Box Consulting's strategic direction, building a strong feedback loop between customer work and how we evolve our delivery methods.  You will lead teams of varying levels of experience, thrive in dynamic & cross-functional environments, and enjoy achieving results thru engaging directly with our customers. Ultimately, you’re comfortable in a player-coach role, helping up-level your team to improve how we work through stronger discovery, faster iteration, and sharing approaches that work across the Box Consulting organization. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 6+ years service delivery experience in technology You have solid people management experience, including hiring, onboarding as well as cultivating professional development opportunities as part of performance management functions You lead through others: develop and coach a customer-facing team, set a high bar for delivery, and help consultants make sound decisions on complex engagements You have led transformation work through execution and understand how a customer works today; can help the team spot where AI and workflow redesign could improve the process and guide them on planning and execution through your sponsorship A firm understanding of how services and project delivery impacts financial performance with regard to individual utilization and revenue realization Accurately forecast and effectively manage resources against revenue, pipeline, and bookings targets Assess business needs, document requirements, provide estimated effort and create contracts (SOWs, Change Orders, etc.) Works autonomously with limited guidance and a strong sense of urgency for customer issues Work closely with sales teams and industry managing directors to effectively develop clear and successful GTM strategy Apply leadership acumen and operational excellence to sales and pipeline tracking, forecasting, and closing Pipeline generation and qualification, employing varied techniques, demonstrating creative, resourceful and committed approach Regularly interacts with and influences senior management, other functional areas such as Customer Success, Support, Sales and/or external parties Focuses on maximizing customer delight and outcomes in all conversations across Box; consistent advocacy of customer experience cross functionally with all levels of leadership PREFERRED SKILLS 2+ years of management experience 2+ years of consulting sales experience Strong applied AI and FDE experience is a plus, especially experience applying AI to real customer workflows Experience with consumption-based business models with understand of how usage connects to customer value, adoption, retention, and expansion Experienced working with SI and Reseller partners to co-sell services Direct familiarity with a quota-carrying role, either in a management or individual contributor capacity Background in SaaS, ECM technologies, AI or Software engineering Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-HYBRID Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $146,500 — $183,000 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $146,500 — $183,000 USD

Location: U.S. (Remote) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. About the Role Clipboard is looking to revolutionize the staffing industry. The MTO (Market Takeover) team is at the forefront of this mission, running high-energy, in-person events across the country to boost sales and build Clipboard into a household name. A big part of that is showing up at industry conferences and trade shows across the country, in long-term care and increasingly in hospitals and home health. We are seeking a highly organized, detail-obsessed Growth Event Coordinator to join the MTO team. In this role, you will own everything that has to happen for Clipboard to show up well at a conference – from registering and booking the booth, to getting the attendee list into reps' hands, to making sure every conversation gets captured in Salesforce afterward. You will be the central point of coordination between conference organizers, our sales team, Sales Ops and finance. This is a position perfect for someone who loves running a tight process, gets satisfaction from things going off without a hitch, and wants a front-row seat to how events turn into revenue. What you'll do - Own end-to-end logistics for our conference program, from registration and booth setup to travel, shipping and event materials. - Serve as the central point of coordination between conference organizers, the sales team and internal partners. - Make sure reps walk into every event prepared, with clear agendas, briefings and insight on who will be there. - Partner with Sales Ops to manage attendee data and keep event activity accurately captured in our systems. - Track event outcomes and costs, and turn learnings into a repeatable playbook that scales as the program grows. What we're looking for - Exceptional organizational skills and attention to detail – you juggle a dozen conferences at different stages and nothing slips. - Excellent written and verbal communication skills – we write a LOT here at Clipboard, and this role is constantly coordinating with organizers, vendors and reps. - Comfort with systems and data. Experience with Salesforce, spreadsheets or similar tools is a plus, and you're excited to use AI tools to automate the repetitive parts of the job. - A proactive and collaborative team player who is eager to learn and take on new challenges. - A passion for our mission to lift people up the socioeconomic ladder. - Speed and bias for action. We move quickly, which means that flexibility and adaptability are key to succeeding here. - Willingness and ownership – if there is something that needs to get done, you do it instead of waiting for someone else to do it. - Prior experience in event operations, sales operations, project coordination or a related field is a plus, but not required. You Might Be a Great Fit If You: - Have 1-3+ years of professional experience in operations, event planning, sales ops or a similar coordination-heavy role. A history in the software and healthcare industries is a plus, but not required. - Are the person friends and coworkers hand the trip planning to, and you actually enjoy it. - Like building processes and SOPs, and get annoyed when the same thing is done three different ways. - Are comfortable traveling occasionally to support conferences on the ground. - Thrive in a fast-paced, goal-driven environment and adapt quickly when the playbook changes. - Are naturally curious, a creative problem-solver, and see challenges as opportunities. - Communicate clearly, follow through on commitments, and take full ownership of your work. You'll Love This Role If You: - Want to grow your career in operations, marketing or sales strategy, and are eager to see the direct impact of your work on pipeline and revenue. - Are excited by autonomy – you'll own the operational side of our conference program and be trusted to make every event run smoothly. What We Offer - Comprehensive health, dental, and vision insurance. - All travel, lodging, and meal expenses are covered for event-related travel. - Remote-friendly structure. - Smart teammates, real responsibility, and opportunities to grow fast into more senior roles in operations, marketing, sales or strategy. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

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 We’re looking for an experienced, hands-on Field Marketing Manager to own and execute our field marketing strategy. This role blends best-in-class tactical execution with strategic planning and operational rigor. You’ll lead the planning and delivery of first-party and third-party events, regional activations, and integrated campaigns designed to drive pipeline, lead generation, and revenue impact across the US market. This is an individual contributor role for a self-starter who thrives in a fast-paced, evolving environment and partners closely with GTM. You’ll be expected to build programs and processes from the ground up, continuously iterate and improve how we operate, and roll up your sleeves to execute—from developing the strategy and playbooks to being on the ground making it happen. WHAT YOU'LL DO - Own the planning and execution of US field marketing programs, including first-party events (executive dinners, roundtables, happy hours, and experiential events) and third-party events (conferences, sponsorships, partner activations). - Design and deliver field marketing initiatives that drive measurable pipeline and lead generation, aligned to regional targets, priority accounts, and GTM objectives. - Partner closely with the US GTM team to develop territory-based and account-focused event strategies, including pre- and post-event engagement and follow-up. - Manage end-to-end event delivery, including budgets, logistics, vendors, agencies, on-site execution, and post-event reporting. - Lead the development of scalable field marketing playbooks, processes, and best practices to support growth and consistency globally. - Own and manage relationships with external agencies, event partners, and third-party organizers, ensuring high-quality delivery and strong ROI. - Track, analyze, and report on the performance of field marketing activities, using data and insights to continuously improve impact and efficiency. WHAT YOU HAVE - 4–7 years of experience in field marketing, event marketing, or demand generation within B2B SaaS or professional services. - Proven ability to deliver high-impact field events and activations that drive measurable pipeline and lead generation. - Strong experience partnering with Sales on territory-based or account-focused marketing initiatives. - Excellent communication, organization, and stakeholder management skills, with a high bar for execution and detail. - Familiarity with tools such as Salesforce, Marketo (or similar), and event platforms is highly desirable. - Experience marketing to legal, financial services, consulting, or other high-touch professional audiences is a plus. COMPENSATION $ 120,000 - $160,000 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-LT1 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, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Unified Platform (UP) organization builds and offers managed data services, shared infrastructure, and metadata management systems that underpin our common query layer and power batch and streaming pipelines that power teams across DRW. As a Staff Engineer focused on the Data Platform , you will bring experience scaling data platforms to shape and uphold DRW’s long-term data platform vision, translating data strategy into engineering products and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will work across tooling, producer, and consumer teams to connect business priorities with technical direction and hands-on delivery. This is an individual contributor role combining strategic thinking, architectural leadership, software development, and mentorship, with responsibility for technical initiatives that span teams. Key Responsibilities Contribute to and uphold the overall vision for DRW’s Data Platform, guiding its architecture and evolution to advance the firm’s data strategy. Work with engineering leads , product managers , and stakeholders to understand business priorities and translate data strategy into engineering products, platform capabilities, and contribute to the sequenced technical roadmap. Design , guide, and build managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration, owning their lifecycle from provisioning and upgrades through production support , refining the managed offers from direct user feedback. Lead delivery across team boundaries, turning ambiguous requirements into practical designs and measurable outcomes while balancing immediate business needs with long-term platform goals. Drive architecture reviews and technology decisions, documenting trade-offs and building consensus around patterns that uphold the platform vision across the data ecosystem. Own the strategy for large-scale data governance and b uild platform capabilities for metadata management, discovery, lineage, schema evolution, and data qua lity. Partner with security and data stakeholders on access controls and usage tra cking. Troubleshoot distributed systems, contribute to production support and incident response, and drive lasting improvements through root-cause analysis, automation, and operational documentation. Mentor engineers across teams through design reviews, code reviews, and hands-on collaboration, strengthening engineering practices and helping others take ownership of complex systems. Required Qualifications Extensive experience designing, building, and operating large-scale, data-intensive distributed systems , including technical leadership of initiatives spanning multiple teams. Experience coordinating with engineering leadership to accelerate team- and organization-wide delivery within existing processes and practices. A track record of translating data or business strategy into engineering products and technical roadmaps, with the judgment to align near-term delivery with a long-term platform vision. A track record of building and offering managed platform services to other teams, owning provisioning, upgrades, reliability, and ongoing support throughout the service lifecycle , working directly with users to incorporate their requirements and feedback into product and roadmap decisions. Experience scaling metadata management systems, such as data catalogs or lineage tracking systems , that span multiple storage and compute technologies . Expertise in Java and/ or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL and Linux environments. Deep understanding of distributed systems trade-offs, including consistency, fault tolerance, concurrency, partitioning, and recovery from partial failures. Production e xperience building both batch and stream processing systems at scale , demonstrating practical knowledge of state management, replay, backpressure, and delivery guarantees. Experience deploying data processing and query technologies such as Flink, Spark, and ClickHouse , and the ability to guide platform us ers on the performance and operational trade-offs among them. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka . In-depth k nowl ed ge of the internals of open table formats such as Iceberg or Delta Lake. Extensive e xperience with data modeling, schema governance and evolution, and formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Familiarity with building and operating cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Excellent written and verbal communication skills, with the ability to communicate a technical vision, explain trade-offs, align stakeholders, and lead through influence across a globally distributed organization. Strong technical judgment and problem-solving skills, with the ability to prioritize competing needs, deliver incrementally in a fast-paced trading environment, and develop other engineers. Desirable Qualifications Experience scaling managed data services across teams with different workloads, service expectations, and operational constraints. Hands-on knowledge of data governance in regulated environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $200,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-Insert Recruiter Initials Here1]

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11491 Credit Operations & Customer Support Virtual Assistant Independent Contractor – CPT-11491 Credit Operations & Customer Support Virtual Assistant/Business Support VAy/Entry-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. An established credit restoration company is seeking a part-time Business Support VA to assist with credit report retrieval, client file management, customer service, reporting, and recurring administrative processing. The company already has established processes, templates, and workflows in place. The immediate priority is removing repetitive, time-consuming backend work from the internal team. As the VA becomes familiar with the company's processes and credit reports, the role may expand into account-update processing and additional customer-facing support. Training will be provided by 20four7VA and the client on specific workflows and Credit education, thus direct Credit repair/education/restoration experience is not required. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Credit Report & Client File Support Access client Experian accounts using securely provided credentials Pull and save updated credit reports Follow established procedures for managing applicable Experian account settings Upload reports and supporting files to client profiles Maintain accurate notes using established templates Ensure required client documentation is properly saved and organized Follow up when credentials, PINs, security information, or other required information is missing Prioritize accurate credit-report and client-profile processing during the initial training period. Review assigned tasks and organize work based on priority. Client Updates & Processing Support Assist with recurring client account updates Compare updated credit information using client-provided processes Enter relevant changes into established update templates Prepare client update emails from approved templates Assist with credit-report processing as training progresses Escalate questions or unusual situations to the internal team Maintain processing speed and accuracy as key performance measures. Use client-specific verbiage and scripting when preparing client communications. Customer Service Assist with routine client questions and follow-up Provide professional, careful communication using established scripts and templates Route incoming calls to the appropriate team member Support additional phone responsibilities as the VA becomes trained Avoid providing information outside approved company processes Maintain a customer-service approach appropriate for sensitive credit-related conversations Conduct outbound calls to warm referral leads as training progresses. Support inbound and outbound customer-service calls using approved scripts. Handle referred leads who may not initially answer, respond, or show interest. Reporting & Administration Prepare recurring pipeline reports for referring affiliates Enter and update report information using existing templates Maintain organized client records and administrative files Assist with other repetitive backend tasks as assigned Help ensure recurring reporting and follow-up deadlines are completed Participate in regular team meetings on Monday, Wednesday, and Friday at 9:00 AM MST. Use time-blocking to prioritize daily tasks and workload. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Previous customer service, administrative, or account-support experience required Strong spoken and written English required Data entry and document-management experience required Experience following detailed processes and templates Credit education, credit restoration, credit restoration, financial services, or similar experience is a plus but not required Experian experience is a plus CRM or client-portal experience preferred Previous successful 20four7VA experience is a plus IDEAL CANDIDATE PROFILE Highly detail-oriented and accurate Strong customer-service background Comfortable handling repetitive, process-driven work Able to follow established templates and procedures Strong comprehension and learning ability Professional and careful when communicating with clients Comfortable learning how to read and understand credit reports (training provided) Organized and dependable Able to grow from backend processing into client-facing responsibilities APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Credit Repair Cloud – Client System (training provided) Experian Dialpad (Voip phone system) Email / Client Communication Platforms Microsoft Office / Google Workspace VPN / Secure Access Tools – 20four7VA IT to assist in setup Work Schedule Contracted Hours per Week: 20 Hours (Hours may increase based on performance and workload) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 8:00 AM – 12:00 PM MST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior, Senior Level Contracted Hours per Week: 20 hours/week (Hours may increase based on performance and workload) Daily Working Time: 8 AM-12 PM MST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-B (Native or Near-Native English Accent Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: New York Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About the Galaxy Summer Internship Program The Galaxy NYC Summer Internship Program is an immersive, nine-week experience taking place on-site in our New York HQ office. During the nine weeks, you will gain hands-on, practical work experience on our Investment Banking, working on real products and problems alongside the people building them. Interns join a lean team advising crypto and fintech companies on M&A, capital raising, and corporate strategy. In addition to learning on the job, Galaxy interns participate in professional development programming, social events, and networking opportunities with senior leaders. Program Dates : June 7th – August 6th, 2027 What You'll Do: Build and review financial analyses and valuation models, including comparable companies, precedent transactions, DCF, and merger models. Research companies and protocols using public filings, earnings calls, industry research, and onchain data. Map buyer and investor universes, analyze competitive landscapes, and assess business models and value drivers. Prepare pitch materials, management presentations, teasers, and internal committee memos. Support live deals through preparation, data room maintenance, and process tracking. Use AI tools to accelerate research and analysis, improve internal processes, and help develop AI-enabled workflows and agents. What We're Looking For: A genuine interest in crypto and investment banking, demonstrated through independent research, coursework, projects, or relevant experience. Initiative, intellectual curiosity, and sound judgement, with the ability to work through unfamiliar problems and ask thoughtful questions. Strong analytical skills and a foundational understanding of accounting, corporate finance, and valuation. Familiarity with blockchain technology, token economics, and how value accrues to companies, protocols, and tokens. Strong attention to detail, a collaborative approach, and the ability to manage competing deadlines. Clear, concise written and verbal communication, and the ability to simplify complex ideas. Bonus Points: Previous internship or work experience in crypto or investment banking. Financial or valuation models for companies, tokens, or protocols. Experience using AI tools beyond chat interfaces, including APIs, agents, or automated research and analysis workflows. Published writing, research or other work demonstrating original thinking about crypto businesses, protocols, or markets. Programming or data analysis experience (Python, SQL). Eligibility Requirements: Currently enrolled in an undergraduate degree program, with an expected graduation date between December 2027 and June 2028. Available to work on-site in New York City five days a week for the full program, June 7 – August 6, 2027. Students enrolled in PhD or JD programs are not eligible to apply. Here are some of the industry-leading benefits of interning at Galaxy: Opportunities to learn about the Digital Asset and Data Center industry Free daily snacks and weekly lunches Smart, entrepreneurial and fun colleagues Employee Resource Groups *Benefits may vary based on location. Interns are classified as non-exempt employees and will be paid a rate of $55/hr. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: New York Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Position Overview Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best-known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Tamara and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. The Revenue Enablement Specialist is responsible for supporting the wider Revenue Enablement team with content production, process management and improvements, reporting and communication. What you’ll do - Coordinate day-to-day delivery of our North America new-hire onboarding program using established plans and materials. Keep session schedules, logistics, learner communications, and follow-ups organized. - Facilitate engaging live sessions for new hires across Business Development, Sales, Account Management, and other customer-facing teams. - Create a supportive learner experience by adapting your facilitation to each cohort’s needs and experience. Share recommendations for content or program changes with the program lead. - Track attendance, completion, learner feedback, and other agreed program measures. Organize the data and summarize findings to help identify gaps and opportunities to improve. - Maintain accurate, easy-to-find learning resources in our learning and content platforms, and help colleagues follow good platform practices. - Support learning activities at flagship events such as Kick-Off, President’s Club, and Commercial Leadership Summits, coordinating logistics and learning needs with event owners. - Coordinate with partners across Commercial, People, Product, Operations, and Marketing to gather input and keep onboarding activities on track. WHAT YOU’LL BRING - 2-3 years of relevant experience; experience in FinTech, financial services, technology, or SaaS - Strong written and verbal communication, with confidence facilitating groups or a willingness to develop that skill. - Some experience supporting or delivering onboarding, training, learning programs, events, or enablement ideally for sales, customer success, or other customer-facing teams. - Good organization, attention to detail, and follow-through across multiple tasks and deadlines. - A collaborative, adaptable approach, including the ability to prioritize, ask for guidance, and work effectively as plans evolve. - Comfort working with feedback and basic program data to identify patterns and suggest improvements. - Interest in how commercial teams work and how learning can help them succeed. - AI native, Tech-savvy and data-driven HELPFUL, BUT NOT REQUIRED - Familiarity with a learning management system (LMS), content management system (CMS), or enablement platform. - Exposure to sales playbooks or methodologies such as Command of the Message, MEDDPICC, or an equivalent approach. - Familiarity with commercial or revenue cycles.   Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Legal Counsel, Employment to help us support a growing global team the Webflow way: moving quickly, working collaboratively, and staying thoughtful about risk. You’re a bright, pragmatic, self-motivated employment attorney with 4+ years of counseling and litigation experience at a law firm and/or in-house. You’ll use that background to give timely, practical, business-minded advice, primarily to our Employee Relations and People teams around the world, so they can do their best work without unnecessary barriers. You have experience litigating and/or counseling on compliance with federal and state anti-discrimination, harassment, and retaliation laws, ideally including analysis under California law. Prior in-house or seconded experience at a technology company is a plus, but not required. You’re an entrepreneurial, resourceful self-starter who thrives in a fast-paced, dynamic environment, builds strong relationships, and is curious about supporting a global workforce. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $158,000 - $190,000 - Zone B: $148,000 - $178,000 - Zone C: $140,000 - $168,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Associate General Counsel, Corporate As Legal Counsel, Employment, you’ll: - Give practical, day-to-day employment advice on a wide range of issues, including HR practices, performance management, terminations, leaves of absence, investigations, and accommodations. Help the business move fast while staying clear-eyed about legal risk. - Investigate and manage pre-litigation and litigation matters. Build and carry out strategies for early resolution where it makes sense, and partner with outside counsel when needed. - Interpret and advise on policies and procedures using your knowledge of state, federal, and international employment laws (e.g., FMLA, ADA, FLSA, NLRA, Title VII, and their state and international equivalents). Turn them into guidance people can actually use. - Support a global workforce with legal counsel that works across borders, cultures, and time zones. - Partner closely with Webflow’s Employee Relations and People teams on employee complaints, investigations, performance management, and accommodations. - Collaborate with the Employment Legal and People teams to build strong, scalable processes that keep us compliant with applicable state, federal, and local laws. - Track developments in employment law across U.S. jurisdictions and internationally, and spot emerging trends early so Webflow can get ahead of them. ABOUT YOU: Requirements: - 4+ years of employment law experience at a leading law firm and/or in-house, with an interest in advice and counseling - Global workforce experience is a plus, not a requirement. If you’ve supported teams across borders in-house, you’ll have a head start with a company that works across time zones and jurisdictions. - Non-negotiable requirements - Active member in good standing of a State Bar, and eligible to practice in the jurisdiction where you’re based. - J.D. from a top-tier law school. You’ll thrive as Legal Counsel, Employment if you: - Are a sharp problem-solver with sound judgment and excellent written, verbal, and interpersonal communication. You can make complex legal topics clear and useful for the business. - Think creatively and strategically on your feet. You stay steady under pressure, juggle complex workloads and shifting priorities across many stakeholders, and help teams move quickly with confidence while staying thoughtful about risk. - Are a resourceful self-starter who is driven by results, finds a path where others see a barrier, and works with Webflow’s collaborative, innovative spirit. You hold yourself to high standards and strong ethics. - Build trust with cross-functional partners across the Legal Department and the company, and be the kind of counsel teams want to bring in early. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Strategic Development Position Overview Sony Interactive Entertainment is entering an important new chapter in its evolution looking to expand business and identify future growth opportunities. This is a senior leadership position for an individual who combines exceptional strategic judgment with the ability to activate change across complex, highly accomplished organizations. The successful candidate will help SIE move beyond strategy as an annual planning exercise toward a continuous discipline of strategic choices, organizational alignment, experimentation, and measurable business outcomes. Working directly within the Business Strategy team alongside senior leaders across PlayStation, this individual will build the frameworks, decision mechanisms, and leadership practices that enable executives to own the outcomes of the company's strategic evolution. The central purpose of this role is not simply to develop strategy. It is to help the organization become better at continuously making, activating, and adapting strategic decisions. Key Responsibilities Activate PlayStation's Strategic Transformation Translate PlayStation's long-range strategic direction into clear, actionable enterprise priorities that connect the company's existing strengths with future growth opportunities. Help operationalize the strategic shifts defining PlayStation's evolution, including developing new value propositions, driving business model adaptation to new customers and opportunities and moving from periodic planning to continuous strategic adaptation. Establish practical frameworks that clarify what SIE must preserve, evolve, and newly develop over the next three to five years. Partner with functional executives to translate enterprise strategy into meaningful choices, commitments, and measurable outcomes within their organizations. Identify structural, cultural, and operational barriers to transformation and help leadership teams address them. Activate the strategy by embedding it within cross functional leaders to own it and adapt it as assumptions change. Establish Continuous Strategic Planning and Adaptation Build a strategy capability that operates throughout the year, responding to market shifts, emerging technologies, competitive developments, and organizational learning. Design and implement a continuous strategy operating rhythm, connecting three-to-five-year ambitions with annual priorities, quarterly strategic reviews, and ongoing opportunity assessment. Develop scenario-planning, strategic sensing, and portfolio-evaluation frameworks that allow leadership to anticipate change rather than simply respond to it. Connect insights from product, commercial, finance, technology, studios, and external partners into an evolving view of PlayStation's future. Create the right level of materials for decision-oriented executive forums and then orchestrate those important meetings to find emerging opportunities, challenge assumptions, and recommend adjustments to strategic priorities. Build mechanisms for leaders to revisit investment assumptions and reallocate attention and resources as evidence changes. Influence and Mobilize Cross-Functional Executive Leadership Serve as a trusted strategic partner to senior leaders, bringing together different perspectives and enabling collective decisions on issues that transcend individual business units. Build trusted relationships with VP- and SVP-level leaders across PlayStation and Sony Group. Facilitate high-stakes strategic conversations involving competing priorities, resource constraints, and differing perspectives on the future. Use rigorous analysis (both internal and external), commercial judgment, and compelling narratives to influence decisions without relying on formal authority. Help executive teams move from conceptual agreement to explicit decisions, accountable ownership, and coordinated action. Challenge established assumptions constructively while demonstrating respect for the achievements and operational realities of existing businesses. Identify and resolve strategic misalignment before it becomes an impediment to execution. Develop the Core / Explore Strategic Framework Support the development of two distinct but interconnected operating models that allow PlayStation to maximize current business performance while investing in future opportunities. Establish differentiated frameworks for evaluating core-business optimization and higher-uncertainty exploration initiatives. Help define how future opportunities are identified, validated, incubated, prioritized, and transitioned into scaled operating businesses. Partner with Finance and operating leaders to develop portfolio-level investment frameworks that balance near-term returns with longer-term strategic value. Create transparent decision criteria for advancing, redirecting, or discontinuing strategic initiatives. Ensure exploration activities are commercially grounded without subjecting early-stage opportunities to inappropriate mature-business performance expectations. Support leadership in determining where shared capabilities, resources, and partnerships can accelerate both operating systems. Strengthen Enterprise Strategy Execution and Organizational Capability Create repeatable approaches that allow SIE leaders to turn strategic direction into coordinated organizational progress. Develop executive-level strategy activation frameworks, including strategic outcome maps, decision rights, leadership commitments, and progress measures. Partner with team members to create processes for translating strategic choices into functional priorities without creating unnecessary reporting or bureaucracy. Facilitate leadership working sessions that resolve trade-offs and create durable ownership of agreed outcomes. Build strategy toolkits and practical methodologies that functional teams can adopt independently. Capture and institutionalize lessons from strategic initiatives, including successes, unsuccessful experiments, and changing market assumptions. Introduce AI-enabled research, synthesis, scenario modeling, and knowledge-management capabilities that increase the speed and quality of strategic work. Required Experience and Qualifications The ideal candidate will bring 15+ years of progressive experience in enterprise strategy, business transformation, corporate development, strategic operations, or product leadership, including substantial experience influencing senior executives within complex global organizations. A proven record of leading enterprise-wide strategic transformation, with tangible examples of changes adopted by business leaders and sustained beyond the initial initiative. Deep experience influencing cross-functional leadership teams, particularly in situations involving ambiguous authority, competing priorities, and significant organizational complexity. Demonstrated success designing and implementing strategic planning, portfolio management, or governance frameworks that improved actual business decisions. Experience in technology platforms, gaming, digital entertainment, consumer ecosystems, or similarly dynamic industries. Strong commercial and financial judgment, including the ability to evaluate investment trade-offs, growth opportunities, and long-range enterprise value. Exceptional executive communication, facilitation, and strategic storytelling capabilities. Experience navigating global organizations and multicultural leadership environments. Demonstrated ability to use emerging AI and analytical capabilities to improve strategic effectiveness. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $275,000 — $412,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote 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 In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai