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Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an Integrated ABM Campaign Manager to develop and scale creative, targeted campaigns that engage priority accounts and drive pipeline across our Enterprise and Mid-Market segments. You'll own the strategy and execution of 1:1 and 1:few ABM campaigns, bringing together paid advertising, personalized content, direct mail, gifting, and coordinated Sales outreach to reach the right people at the right accounts. This is a hands-on role where you'll have the freedom to test new ideas, build integrated programs, and use data to understand what's working. You'll also partner closely with our wider ABM, Sales, and Partner Marketing team to connect campaigns with account priorities, strategic experiences, and partner-led opportunities. Key Responsibilities Own the strategy, planning, execution, and optimization of integrated ABM campaigns across Enterprise and Mid-Market audiences. Develop campaign audiences, messaging, channel plans, budgets, and success metrics based on Sales priorities and account insights. Manage targeted paid advertising, particularly LinkedIn, alongside personalized landing pages and other digital ABM experiences. Own direct mail, gifting, and scalable prospect engagement programs, including gifting program workflows. Partner with Sales and GTM Operations to identify target accounts, build contact lists, and activate campaigns. Develop coordinated Sales outreach plays and sequences with the Sales Enablement Lead to support campaign engagement and follow-up. Work with Product Marketing and Content to develop relevant messaging and creative for priority audiences. Collaborate with our wider Enterprise ABM, Events, and Partner Marketing teams on account-specific activations, event invitations, and joint campaigns. Proactively identify new campaign opportunities based on engagement signals, account intelligence, and business priorities. Track performance, test new approaches, and optimize for account engagement, meetings, pipeline creation, and progression. What We Are Looking For 5+ years of B2B marketing experience, with a background in building ABM campaigns for both net-new acquisition and customer expansion. Experience independently developing and executing multi-channel campaigns from strategy through measurement. Hands-on experience with LinkedIn advertising, audience segmentation, and marketing automation. Hands-on experience with personalized landing page platforms like Userled or Mutiny. Experience with direct mail, gifting, personalization, or other creative account engagement tactics and platforms like Reachdesk or Sendoso. Strong understanding of how marketing campaigns support Sales engagement and pipeline generation. Comfortable working with data, testing new ideas, and using performance insights to improve results. Organized, creative, and comfortable managing multiple campaigns and stakeholders at once. Nice to Have Experience marketing to technical or Enterprise B2B audiences. Familiarity with Salesforce, HubSpot, LinkedIn Campaign Manager, Clay, or Common Room. Experience with partner or co-marketing campaigns. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $158,120 — $198,320 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Canada Workplace: Remote About Sailor Health Sailor Health is revolutionizing mental health care for older adults, addressing one of the fastest-growing and most underserved healthcare segments in America. With over 60 million seniors expected to make up nearly 25% of the population by 2030, we're entering a period of unprecedented demand for care. Yet, today, millions of older adults remain isolated, underserved, and struggling with mental health challenges such as anxiety, depression, and loneliness without adequate support. At Sailor Health, we envision a world where every senior has seamless access to compassionate, effective, and personalized mental health care. Join us on our mission to redefine the golden years, enabling older adults across the nation to live happier, healthier, and more fulfilling lives. About the Role Location: Remote, Canada-based Title: Provider Support Coordinator We're hiring a full-time remote Provider Support Coordinator to serve as a dedicated support resource for our provider network at Sailor Health. You'll be a go-to contact for therapists and clinicians navigating the day-to-day realities of delivering care — fielding real-time calls and emails, troubleshooting tech issues, managing caseload support, and proactively building relationships to ensure our providers feel empowered and well-supported. The key to provider satisfaction is making sure they receive exceptional and prompt support, so this role has high impact for the practice. Typical working hours are Monday-Friday 9am–6pm ET, with the occasional flexibility to work past 6pm ET when provider support requires it. This is an ideal position for someone who thrives on relationship-building, quick problem-solving, and delivering exceptional service to clinical professionals — all in support of improving mental health outcomes for older adults. We're a startup, and our processes are still being built and refined as we grow — this role isn't for everyone, but if you love creating structure out of ambiguity, you'll thrive here. What You'll Do - Manage provider email support. Be the first point of contact for inbound emails covering provider support, caseload questions, tech troubleshooting, provider-patient matching, and payroll/benefits questions — resolving what's yours to solve and escalating anything outside your scope (like actually processing payroll) to your lead. - Answer provider calls in real time. Be the first line of support for providers dealing with logistical, technical, or patient-related issues as they come up throughout the day. - Track every open item through to resolution. Keep a running, up-to-date record of outstanding provider requests, holds, and follow-ups, and see each one through to completion — even if it takes a few days to close out. - Proactively support your provider network. Reach out regularly to providers to check in, understand their needs, and identify ways Sailor Health can better support their work and caseloads. - Deliver outstanding customer service to providers. Represent Sailor Health with warmth, professionalism, and a solutions-first mindset in every provider interaction — including with the occasional difficult one. Who You Are - Extremely organized, with airtight follow-through. You catch issues early and never leave something unresolved without a plan to close it out. Colleagues can trust that once something lands with you — in Slack, email, or a call — it's handled, without needing to be reminded. - Proactive, and comfortable with ambiguity. You take initiative without being asked, and when instructions or processes are unclear, you find a path forward and build structure rather than waiting for direction. - Sound judgment on urgency and ownership. You know when something is a drop-everything issue versus one that can wait a few hours, and you know what's yours to solve versus what you should escalate. - Warm, empathetic communicator. You bring genuine warmth to every conversation — clear, kind, and easy to work with, even with a difficult provider on the other end. Why Join Sailor Health - Mission with impact. Help bring life-changing care to a population that's too often overlooked. - Remote-first team. Enjoy the flexibility of remote work while staying closely connected with a thoughtful, collaborative team rooted in purpose. - Growth and ownership. Be part of a small, agile team where you'll take initiative, shape key processes, and grow as we grow. - Make someone's day — every day. Your work helps providers feel supported so they can deliver their best care to patients who need it. If this sounds like you, we'd love to connect. Join us in redefining what it means to age with dignity, connection, and mental wellness.

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: B-CPT-11722 Bilingual Virtual Receptionist & Administrative Assistant Independent Contractor – B-CPT-11722 Bilingual Virtual Receptionist & Administrative Assistant/Business Support VA/Entry-Junior 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. A Jacksonville, Florida-based document preparation and notary services business is seeking a part-time Bilingual Virtual Receptionist & Administrative Assistant to handle incoming calls, client intake, appointment coordination, document follow-up, and recurring administrative support. The company primarily serves Spanish-speaking clients seeking assistance with immigration, family-related documentation, notary services, and other administrative matters. Some clients may be experiencing emotionally difficult circumstances, making patience, compassion, and strong interpersonal communication particularly important. The ideal candidate will be a native Spanish speaker with strong English communication skills, previous customer service or receptionist experience, excellent organization, and the ability to handle sensitive conversations professionally and empathetically. 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: Bilingual Reception & Client Communication Answer incoming calls in English and Spanish through Nextiva Greet callers warmly and identify the purpose of their inquiries Provide general service information using approved guidelines Gather basic client information and identify appropriate next steps Screen unsolicited calls and route important inquiries appropriately Transfer complex or sensitive matters to the business owner or designated staff Client Intake & Appointment Coordination Collect contact information, referral sources, and initial service requests Maintain accurate prospective client and intake records Schedule consultations and coordinate appointments as needed Provide approved pricing information for services with established rates Direct inquiries requiring individual pricing or detailed explanations to the business owner Coordinate routine client follow-ups and appointment-related communications Document & Administrative Support Maintain organized client files, records, and task information in Asana Follow up with clients regarding missing documents and outstanding requirements Save and organize client-submitted documents in designated files Update client records and track pending administrative items Follow up on outstanding payments using approved procedures Coordinate with internal staff regarding incomplete files and client needs Sensitive Client Communication Communicate patiently and compassionately with clients experiencing stressful personal circumstances Listen carefully and respond with professionalism, empathy, and discretion Remain calm when assisting distressed or emotional callers Recognize urgent or sensitive situations and follow established escalation procedures Maintain strict confidentiality of client information and personal circumstances 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: Native Spanish fluency and strong spoken and written English required Previous receptionist, customer service, or client-facing administrative experience required Excellent interpersonal communication and active listening skills required Ability to handle sensitive conversations with empathy and professionalism required Strong organizational and data-entry skills required Experience with scheduling, client intake, and document management strongly preferred Asana or comparable task management experience preferred Nextiva or similar VoIP experience preferred Immigration, legal document preparation, or notary services experience is a plus Ability to maintain client confidentiality required IDEAL CANDIDATE PROFILE Warm, compassionate, patient, and approachable Native Spanish speaker with strong conversational English Excellent listener who can make clients feel comfortable and respected Calm and professional when handling emotional or difficult conversations Highly organized and dependable with follow-ups and documentation Comfortable managing incoming calls and administrative tasks simultaneously Resourceful and able to recognize when matters require management attention APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Nextiva – Client Phone System Asana – Client Task Management System Email & Calendar Platforms Microsoft Office / Google Workspace Client File & Document Management Systems Automated Client Messaging Tools – Client Training Provided Work Schedule Contracted Hours per Week: 20 Hours ( Hours may increase based on performance ) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 1:00 to 5:00 PM Eastern 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 Level Contracted Hours per Week: 20 hours/week ( Hours may increase based on performance ) Daily Working Time: 1:00 to 5:00 PM Eastern Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: Female LANGUAGES SPOKEN/PREFERENCE: Bilingual English & Spanish Required ACCENT PREFERENCE: Level A-B (Native or Near-Native English/Spanish Accent Required) REGION PREFERENCES: Nearshore 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: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Position Overview We are seeking a strategic and highly collaborative AX Business Liaison to serve as a primary change agent within the organization. The primary role of the AX Business Liaison is to spearhead Business Innovation and Change Management. You will work directly with our domain experts to reimagine legacy processes and transform the way people work to accommodate new, AI-influenced workflows. Sitting at the core of our execution layer within a dedicated AX POD, you will serve as the crucial bridge between business stakeholders and our technical execution teams. You will ensure that the AI solutions we build are not only technically sound but also operationally practical, responsibly implemented, and paired with the operational changes necessary to drive true business value and seamless user adoption. Key Responsibilities 1. Business Innovation & Workflow Transformation (Primary Focus) ● Analyze current business operations to identify bottlenecks, manual steps, and improvement opportunities before applying AI. ● Document current-state and future-state workflows, redesigning processes to natively integrate AI tools, automation, and new decision-support models. ● Challenge the status quo by guiding business leaders away from “how we've always done it” toward AI-augmented operating models, rather than layering new tools onto outdated processes. 2. Change Management & AI Adoption ● Develop and execute comprehensive change management strategies to ensure business units successfully transition to new AI-driven workflows. ● Proactively identify and manage organizational resistance to change, acting as a coach and advocate for AI adoption by helping leaders and users understand how AI will change work. ● Identify, train, and coach business champions in each assigned domain as partners in Business Innovation engagements. ● Equip champions to act as on-the-ground change leads who co-own adoption within their teams, while ADX continues to lead the Business Innovation methodology. 3. Business-to-Technical Translation & Intake ● Partner with business leaders to identify, scope, and define opportunities where AX (AI/Data) solutions can improve operational performance. ● Recommend when a business challenge calls for process redesign or simplification rather than an AI solution. ● Translate redesigned processes into clear technical requirements, user stories, business rules, and acceptance criteria for AX Engineering and Data teams. ● Align pod intake with the guidelines set by the AX PMO's Intake & Metrics team. 4. Responsible AI & Governance ● Work with technical teams to identify and address business-side risks related to bias, data quality, transparency, and operational misuse. ● Embed human-in-the-loop principles into workflow design, ensuring AI workflows are introduced with appropriate business controls and oversight mechanisms. 5. Business Innovation Methodology & Playbook ● Contribute to ADX's Business Innovation playbook by standardizing artifacts and capturing lessons from each engagement. ● Help assigned domains progress through the Business Innovation capability stages on the AX roadmap. Qualifications ● Experience: 5+ years in Change Management, Business Innovation, Process Improvement, Business Transformation, or Product Management. ● Transformation Expertise: Proven track record driving Digital Transformation (DX) initiatives and managing the human side of organizational change. Familiarity with change management frameworks is highly preferred. ● Business Innovation Craft: Hands-on experience with process mapping, workflow analysis, and workshop facilitation. ● Domain Knowledge: Foundational understanding of AI, Machine Learning, and software development lifecycles, with the ability to envision how these technologies change workflows, decision rights, and risk controls. Familiarity with responsible AI concepts. ● Communication & Empathy: Exceptional communication skills and high emotional intelligence. Able to guide non-technical teams through disruptive change while articulating clear workflows to engineering teams. ● Collaboration: Proven experience in a matrixed or pod-based organization, influencing without direct authority across business, project management, and engineering teams. ● Preferred Experience: Internal consulting or transformation office experience, building credibility with business units as a partner from outside the team, is a strong plus. What Success Looks Like in Year One ● Led Business Innovation engagements end to end, with documented future-state workflows in place before build begins on assigned pod initiatives. ● Trained and activated business champions in each assigned domain. ● Achieved strong user adoption, fewer manual workarounds, and positive sentiment for newly deployed AX tools, measured at defined intervals after launch. ● Delivered measurable improvements in cycle time and productivity on deployed initiatives. ● Contributed reusable artifacts and lessons to ADX's Business Innovation playbook. ● Established yourself as a trusted advisor to business leaders on the cultural, operational, and workflow shifts that AI transformation requires. #LI-DR1 Recruiting Range $145,000 — $185,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

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: Alpharetta, GA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Technical Training Content Developer The Technical Training Content Developer is responsible for designing and developing engaging digital learning content that supports technical training initiatives for LG HVAC products and systems. This role focuses primarily on eLearning development, microlearning, video-based learning, and multimedia content creation. Working closely with instructional designers and subject matter experts (SMEs), the Technical Training Content Developer transforms complex technical information into effective, learner-focused training solutions. Responsibilities Develop eLearning modules, microlearning content, and video-based training materials. Create and edit instructional videos, graphics, animations, and other multimedia assets. Collaborate with SMEs and instructional designers to convert technical information into engaging learning experiences. Develop and maintain digital training content aligned with product launches, technical updates, and business priorities. Support the creation and revision of instructor-led training materials as needed. Manage multiple projects while meeting established deadlines and quality standards. Qualifications Bachelor's degree in Instructional Design, Education, Multimedia Design, Communications, or a related field. 5-7 years of experience developing technical training content in HVAC, manufacturing, industrial, or other technical environments. Experience developing eLearning, microlearning, and video-based learning content. Proficiency with Articulate Storyline, Rise, or similar eLearning authoring tools. Strong proficiency with Adobe Creative Cloud, including Premiere Pro and Photoshop. Experience creating and editing instructional videos and multimedia learning assets. Strong written communication, visual design, and content development skills. Ability to work effectively with technical subject matter experts. Preferred Qualifications Experience in the HVAC industry. Experience developing training content for manufacturing, technical products, industrial equipment, or related technologies. Experience with Adobe After Effects and Illustrator. Familiarity with Learning Management Systems (LMS). Knowledge of adult learning principles and instructional design best practices. #LI-DB2 Recruiting Range $40 — $40 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Alpharetta, GA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Position Summary The Customer Solutions Specialist delivers timely, accurate, and professional support across customer inquiries, cases, orders, parts, warranty, returns, and related service needs. The role owns issues through resolution, maintains complete case documentation, and collaborates across teams to provide a consistent customer experience. The specialist also develops and maintains accurate, customer-focused CSG processes, procedures, and FAQs that promote self-service, improve information accessibility, and reduce avoidable contacts. Approved AI tools may be used to support content development, standardization, and continuous improvement. Key Responsibilities Documentation, Accuracy, and Self-Service Develop and maintain accurate, customer-focused CSG processes, procedures, standard work, knowledge articles, and FAQs. Convert complex internal information into clear, consistent, and professional customer-facing content. Validate documentation with process owners and subject matter experts before publication or distribution. Organize content so customers and employees can quickly locate answers and complete common tasks through self-service. Review content routinely for accuracy, usability, duplication, and opportunities to reduce repeat contacts. Use approved AI tools to assist with drafting, editing, formatting, and content standardization while ensuring human review and final accuracy. Customer Support and Case Ownership Respond to customer and partner inquiries through assigned channels with professionalism, accuracy, and urgency. Create, update, and manage cases from initial contact through resolution, including clear notes, actions, ownership, and next steps. Research order, parts, warranty, return, shipment, account, and process-related questions using approved systems and resources. Communicate realistic status updates and coordinate escalations when issues require cross-functional support. Identify customer impact, remove barriers where possible, and confirm resolution before closing the case. Operational Excellence and Collaboration Follow established policies, procedures, service standards, and data handling requirements. Partner with Sales, Operations, Parts, Warranty, Logistics, Technical Support, and other teams to resolve issues and improve processes. Identify recurring contact drivers, documentation gaps, and process breakdowns; recommend practical corrective actions. Participate in training, calibration, team meetings, and continuous improvement activities. Support team service-level, quality, productivity, case-aging, and customer-experience objectives. Required Qualifications High school diploma or equivalent; associate or bachelor's degree preferred. Experience in customer service, customer solutions, call center, order management, technical support, or related environment. Strong written and verbal communication skills with the ability to explain information clearly to internal and external audiences. Demonstrated attention to detail and the ability to maintain accurate records and documentation. Ability to prioritize multiple cases, meet deadlines, and work effectively across functions. Proficiency with Microsoft 365 applications and experience using CRM, case-management, knowledge-management, ERP, or similar business systems. Ability to learn about products, policies, processes, and systems quickly. Preferred Qualifications Experience creating standard operating procedures, knowledge articles, FAQs, training materials, or customer-facing documentation. Experience with Salesforce or a comparable CRM and case-management platform. Experience supporting parts, warranty, orders, logistics, returns, distributors, contractors, or business-to-business customers. Familiarity with approved generative AI tools for business writing, knowledge development, or process improvement. #LI-DB2 Recruiting Range $25 — $25 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Responsibilities Develop outreach efforts to support sales team and facilitate brand immersions Develop clients, propose action plans, and assist with the implementation of marketing networking Schedule designers, builders, and retail sales associates Work with District Sales Managers to deliver a luxury experience to our guests Continuous communications with partner agencies, district sales managers, and the leadership team Ensure the SKS Skyline Showroom is utilized to its fullest capacity Travel to Chicago and Napa showrooms as needed in addition to other marketing events Handle the resolution of issues related to events and showroom immersions Contribute with ideas, planning and assisting with the execution of strategies, and providing support for the team's brand experience and marketing efforts Negotiate with partner agencies to ensure client satisfaction while keeping in mind the fiscal responsibility to the organization Manage the allocation of resources to client satisfaction and customer support Recruit for service personnel, housekeeping team, and chef's assignments Train and provide orientation to guest services team and culinary teams Qualifications Culinary or related degree Certification of manager of food and handling with the Department of Health Basset certification 10+ years of experience in office management and guests relations Extensive experience in customer service Knowledge of marketing, brand immersions, experience with handling budgets and delivering key performance indicators Strong interpersonal skills Ability to resolve conflicts Strong administrative skills Recruiting Range $115,000 — $125,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Canada Workplace: Remote ABOUT SAILOR HEALTH Sailor Health is revolutionizing mental health care for older adults, addressing one of the fastest-growing and most underserved healthcare segments in America. With over 60 million seniors expected to make up nearly 25% of the population by 2030, we’re entering a period of unprecedented demand for care. Yet, today, millions of older adults remain isolated, underserved, and struggling with mental health challenges such as anxiety, depression, loneliness without adequate support. At Sailor Health, we envision a world where every senior has seamless access to compassionate, effective, and personalized mental health care. Join us on our mission to redefine the golden years, enabling older adults across the nation to live happier, healthier, and more fulfilling lives. ABOUT THE ROLE Location: Remote - Canada based only Title: Patient Support Coordinator We’re hiring a full-time remote Patient Support Coordinator to provide exceptional post-intake support to patients at Sailor Health. Once a patient begins care, you’ll be their go-to point of contact for everything they need, including scheduling changes, billing questions, troubleshooting Zoom – all while providing friendly, reliable guidance every step of the way. In this role, you’ll ensure patients always feel cared for, informed, and supported. You’ll handle a range of administrative and customer service requests via phone, email, and text with empathy, precision, and professionalism. This is an ideal position for someone who thrives on solving problems, staying organized under pressure, and making people feel valued and understood — all while helping deliver high-quality mental healthcare for older adults. WHO YOU ARE - Exceptional communicator. You’re clear, kind, and patient — able to translate complex information (like billing or scheduling) into reassuring, easy-to-understand guidance. - Detail-oriented problem solver. You spot issues before they escalate, follow up without being prompted, and take pride in getting things right the first time. - Calm under pressure. You stay composed and resourceful when juggling multiple requests, maintaining professionalism and empathy throughout. - Tech-comfortable and adaptable. You learn new platforms quickly — whether it’s an EHR like Healthie, a messaging tool like OhMD, or scheduling and billing software. - Mission-driven with relevant experience. You care deeply about making mental health care accessible for older adults and may come from a background in customer support, patient support, care coordination, or healthcare administration, where empathy and organization are key. WHY JOIN SAILOR HEALTH - Mission with impact. Help bring life-changing care to a population that’s too often overlooked. - Remote-first team. Enjoy the flexibility of remote work while staying closely connected with a thoughtful, collaborative team rooted in purpose. - Growth and ownership. Be part of a small, agile team where you’ll take initiative, shape key processes, and grow as we grow. - Make someone’s day – every day. Your work helps older adults and their families feel seen, supported, and cared for. If this sounds like you, we’d love to connect. Join us in redefining what it means to age with dignity, connection, and mental wellness.

Location: United States; Canada Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Operations Engineer you will: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default cloud controls - Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by paving the secure path using infrastructure-as-code modules and reusable code libraries - Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamlining authentication/authorization to ensure unified access control across the board - Deploy, integrate and operationalize security platforms and services including but not limited to SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling - Respond to security incidents and harden environments post-incidents. - Support control monitoring and remediation for compliance initiatives - Gather and analyze security metrics to address security issues with cross-team dependencies - Partner empathetically with engineering teams to understand their needs and deliver practical, scalable security solutions without creating unnecessary friction. You may be a good fit if: - 5+ years previous experience in SecOps, DevSecOps, Cloud Security, Threat Detection & Response or software development with a strong focus on security engineering. - You’re a hands-on security engineer interested in automating controls and building scalable solutions rather than relying on manual processes. - You have experience in managing cloud platforms (GCP, AWS, Azure, OCI) and Kubernetes environments - Familiarity with CI/CD systems and SecOps workflows (Git, Terraform) in cloud environments (GCP, AWS, Azure, OCI) - Have practical experience with one or more of : infrastructure automation, network segmentation, system hardening, container and cloud security concepts, and security observability - You have experience with multiple languages such as Golang and/or Python - Are comfortable navigating ambiguity, making informed decisions with incomplete information, and adapting your approach as requirements evolve. - You employ a flexible and constructive approach when solving problems - You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available - You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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

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 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: 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 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