Вакансии

Location: Holyoke, MA & Montclair, NJ Neuro Technician Location: Holyoke, MA & Montclair, NJ Schedule: 9:00am- 5:30pm Employment Type: 1099 Salary: $75,000 - $100,000 About MedElite Since 2011, MedElite has been dedicated to improving the standard of care in skilled nursing and long-term care facilities nationwide. We implement a data-driven, "treat in place" model that enhances resident health outcomes while saving valuable time and resources for our partner organizations. By managing a network of advanced practice providers and specialty clinicians, we deliver high-quality, proactive care directly to the bedside. Our passion for positively impacting the lives of residents, administrators, and healthcare professionals drives our commitment to continuously innovate and redefine senior care across the country. Job Summary We are seeking a detail-oriented and compassionate Neuro Technician to join our growing team. In this role, you will support neurological diagnostic testing and clinical services for patients in skilled nursing and long-term care facilities. This is an excellent opportunity to work closely with clinicians while contributing to accurate diagnoses and improved neurological outcomes for a geriatric population. Responsibilities Prepare patients for neurological diagnostic procedures, including EEGs and other neurodiagnostic tests Perform neurodiagnostic testing in accordance with established protocols and safety standards Monitor patients during procedures and report any significant findings or concerns to the supervising clinician Ensure proper setup, calibration, maintenance, and troubleshooting of neurodiagnostic equipment Accurately document test results, observations, and patient responses in the medical record Maintain compliance with infection control, HIPAA, and facility policies Provide clear explanations and reassurance to patients to ensure comfort and cooperation Collaborate with physicians, advanced practice providers, and nursing staff to support high-quality patient care Travel to partner skilled nursing and long-term care facilities as assigned Requirements High school diploma or equivalent required; associate degree or formal neurodiagnostic training preferred Certification as an EEG or Neurodiagnostic Technician (R.EEG T., CNIM, or equivalent) preferred Prior experience in neurodiagnostic testing strongly preferred Experience working in skilled nursing or long-term care settings is a plus Strong attention to detail and ability to follow clinical protocols Excellent communication and interpersonal skills Comfortable working with the geriatric population Prolonged standing/walking. Assisting with patient positioning. Operating diagnostic equipment. Lifting/moving patients. Ability to travel to multiple facilities as needed Benefits Competitive salary: $75,000 - $100,000 Paid Time Off Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Engineer will be responsible for the operation, maintenance, and optimisation of the robotics fleet and AI Data Collection System. The role focuses on ensuring that data-collection pipelines, hardware setups, and system configurations support reliable experimentation and high-quality dataset generation for robotics research and development. A key aspect of this role is ensuring maximum system uptime and rapid response to issues that may impact data-collection Continuity. Role Purpose To ensure continuous, reliable operation of the robotics fleet and AI Data Collection System, enabling high-quality data generation and uninterrupted experimentation for robotics research. This position is a permanent night shift, with working hours of 10:30 pm - 7:00 am, and may require occasional travel in line with business needs.   WHAT YOU'LL DO: - Ensure continuous uptime of the robotics fleet and AI Data Collection System through proactive monitoring, rapid issue response, and preventive maintenance. - Oversee daily system operation, ensuring all robots, sensors, and data pipelines are functioning correctly. - Configure and prepare robotic systems for data-collection runs, including calibration, software setup, and environment readiness. - Execute and support data-collection experiments in collaboration with engineers and researchers, ensuring reliability and repeatability. - Manage the collection, verification, labelling, and organised storage of datasets used for imitation learning and related ML workflows. - Troubleshoot hardware, software, and system issues to minimise downtime and maintain workflow continuity. - Maintain accurate records of equipment status, system utilisation, and performance, and coordinate procurement of required components and replacements. - Develop and follow operational best practices to ensure safety, efficiency, and standardisation across data-collection activities. - Schedule and prioritise robotics and data-collection resources to optimise experiment throughput and system availability. - Support improvements to data-collection processes, system stability, documentation, and operational procedures.   WHAT WE'RE LOOKING FOR - Bachelor’s or Master’s degree in Robotics, Engineering, Computer Science, or a related technical field. - Practical experience operating robotic systems or automated hardware setups. - Strong organisational, time-management, and communication skills. - Experience with data collection, dataset organisation, and data-management workflows for machine learning or robotics. - Hands-on experience with ROS (Robot Operating System). - Proficiency with Linux-based development and runtime environments. - Basic proficiency in Python or C++ (preferred but not required). - Preferred Qualifications • Experience with inventory tracking, procurement, and supplier coordination. • Familiarity with operational safety practices and compliance requirements. • Demonstrated interest in robotics, automation, and applied research.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Spain Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com MAIN DUTIES The following is a non-exhaustive list of responsibilities and areas of ownership of the Multimedia Content Reviewer : Localize, translate and adapt content of various categories (such as music, film, gaming and sports content) while adhering to writing style guide and guidelines Write new copy for a range of multimedia products and services Perform annotation tasks Perform regular linguistic review of their own work as well as the work performed by other members of the localization team for all content types Copy-edit and fact check content to ensure accuracy of content Perform LQA (Localization QA) testing of any content published on live platforms (music and app descriptions, marketing material and marketing campaigns) Conduct market-specific research on local content, product and terminology trends and best localization practices for the target audience in their market Transcribe spoken content such as lyrics Report on data and/or assets across a broad scope of media and content types Review linguistic assessments, create training material and documents for new projects and ensure that other counterparts of the localization team are fully trained on terminology, style and best practices Collaborate with the global language team via virtual meetings, emails on content review tasks to ensure calibrating terminology and style, understanding trends and market specific insights, translations based on the market team's needs REQUIREMENTS BS/BA and 2+ years of work experience in the field of journalism, copywriting, or copyediting media content such as music, TV and applications with proof of writing samples Native-level or fully bilingual Hebrew , written and spoken Experience in translation and localization of multimedia content Creative writer Ability to quickly detect issues and inconsistencies from a massive sea of content and make sound judgement calls based on information at hand Is in tune and has a wide range of knowledge regarding music artists, TV and cinema, gaming and pop culture Has the ability to own the language market and make confident linguistic decisions Must be highly detail-oriented with the ability to multitask, prioritize and meet deadlines Fluency in written and verbal English Strong computer literacy; knowledge of iOS/macOS systems is a plus Well capable of typing in their native level language using a local (English) keyboard Ability to work independently and remotely Collaborative; enjoys teamwork in a multicultural environment

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT RAMP LABS Ramp Labs is Ramp's AI research group. We post-train models on finance work, build the environments and evals they learn from, and ship them into the products 70,000+ companies use to move money. We think the defensible part of an AI product is the loop: proprietary environments, evals that track what customers care about, and models trained against both. ABOUT THE ROLE Every model decision at Ramp Labs runs through a benchmark. Which model to route to. Whether a post-training run worked. Whether an agent is ready to post a corrective journal entry to a customer's ledger without a human in the loop. You'll own Ramp's benchmarking effort. You'll turn real finance work (expense policy review, invoice coding, month-end close, spreadsheet Q&A) into benchmarks and RL environments, build the graders, and tell the team what is actually improving. WHAT YOU’LL DO - Build benchmarks from real workflows: turn agent traces, customer edge cases and expert labels into versioned benchmark suites for long-horizon agents that run for hours across tools and systems, plus tool use, multi-step reasoning and financial judgment - Own the benchmarking effort: decide what we measure, run benchmark suites across models and agent versions, and report results the team makes decisions on - Design graders: rubrics, programmatic checks and llm-as-judge, calibrated against human agreement, with a clear view of where each one breaks - Close the loop with post-training: turn evals into reward functions and RL environments, and catch reward hacking and contamination before they ship - Publish external benchmarks and write-ups on how models perform at real finance work WHAT YOU NEED - Hands-on experience building LLM benchmarks or evals that people used to make real decisions - Strong Python and software engineering; your eval code is reproducible and fast - Statistical judgment: variance, confidence intervals, sample size, inter-rater agreement, and knowing when a delta is noise - Working knowledge of post-training (SFT, RL with verifiable rewards) and how evals feed into it - Comfort with SQL and large datasets; you'll work directly from production traces - Taste for what is worth measuring NICE-TO-HAVE - Industry experience on an eval, benchmarking or post-training team - Built RL environments or verifiers for agentic tasks - Published benchmark or evaluation research (NeurIPS Datasets & Benchmarks, ICML, ACL) - Built or contributed to eval frameworks (verifiers, lm-evaluation-harness, HELM or similar) - Familiarity with accounting, finance or other expert-domain work - Public work we can look at: a benchmark, an eval suite, a failure-analysis write-up BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As our Engineering Lab Manager, you'll be the backbone of our hardware lab — keeping it organized, stocked, and running smoothly so our engineers can focus on building. This is a hands-on, highly visible role in a small, fast-moving office of around 30 engineers working on cutting-edge humanoid robotics. This is a great opportunity for someone with a hands-on technical background who wants to grow inside a robotics company at an early and exciting stage.   WHAT YOU’LL DO - Own lab organization — maintain a clean, safe, and well-organized lab environment. Keep workbenches, storage, and shared spaces in order so the team can work efficiently. - Engineering inventory management — track and restock components, consumables, tools, and lab equipment. Own the procurement process for day-to-day lab needs, working with vendors and internal stakeholders to keep things moving. Kit parts for engineering builds and repairs. - Support hardware and equipment — assist engineers with equipment setup, basic maintenance, and calibration of lab tools including oscilloscopes, power supplies, soldering stations, and test fixtures. Flag equipment issues and coordinate repairs or replacements. - Facilitate general lab operations — coordinate deliveries, manage lab access, support onboarding of new team members to lab tools and processes, and help enforce lab safety policies. - Support the team day-to-day — pitch in where needed across a small, busy engineering team. This might mean helping set up a demo, organizing a shipment, or sourcing a hard-to-find component quickly. WHAT WE’RE LOOKING FOR - Hands-on experience in an electronics, engineering, or hardware lab environment — through work or school. - Demonstrated experience managing physical inventory: receiving, tracking, reorder thresholds, vendor coordination in a lab, warehouse, makerspace, or production environment. - Familiarity with component and inventory management tools or systems - Comfort handling and organizing electronic components, PCBAs, cables, and lab equipment - Expertise with ESD handling protocols for sensitive electronic components and assemblies. - Strong attention to detail and a natural tendency to keep shared spaces organized and functional - Strong communication skills and comfort working closely with technical teams - Ability to manage multiple tasks and priorities in a fast-moving environment - This role requires the ability to lift and carry equipment and materials weighing up to 40 lbs as part of regular lab duties NICE TO HAVE - Experience with basic soldering, rework, or electronics assembly - Exposure to robotics, electromechanical systems, or a hardware startup environment - Comfort using tools like Notion, Jira, or similar for tracking and documentation. - Experience with PLM tools, such as TeamCenter or Arena. For this role in Massachusetts, the expected base salary range is $65-85K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Santa Clara Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. About the Role We are looking for a HR Business Partner (HRBP) to serve as a strategic partner to our Engineering organization. This role sits at the intersection of business strategy and people strategy, working directly with senior engineering leaders (VPs, Directors, and Engineering Managers) to build high-performing teams, shape organizational design, and drive talent, culture, and change initiatives that scale with a fast-moving technology organization. This role requires deep credibility with technical audiences and a strong point of view on what great engineering culture looks like. What You'll Do Serve as a trusted strategic advisor to Engineering senior leadership, providing coaching and counsel on organizational design, workforce planning, leadership effectiveness, and team dynamics. Partner with engineering leaders to translate business and technical roadmaps into people strategies, including org design, span of control, and role architecture as the organization scales. Lead full-cycle talent management for the client group: performance management, calibration, succession planning, promotion processes, and career development frameworks tailored to engineering career ladders (IC and management tracks). Use data and analytics (attrition, engagement, hiring velocity, promotion equity, span of control) to diagnose organizational health and recommend proactive interventions. Partner closely with Talent Acquisition to inform hiring strategy, headcount planning, and workforce composition for engineering. Lead or co-lead org design and change management efforts tied to reorganizations, M&A integration, or rapid scaling. Coach engineering managers and directors on leadership skills, difficult conversations, team performance, and conflict resolution. Drive compensation planning cycles (merit, equity refresh, promotions) in partnership with Total Rewards, ensuring internal equity and market competitiveness for technical roles. Own employee relations matters within the client group, ensuring fair, consistent, and legally sound resolution of issues. Champion diversity, equity, and inclusion initiatives specific to the challenges of building diverse technical teams. Partner cross-functionally (Talent Acquisition, L&D, Legal) to design and deliver programs that meet the unique needs of engineering. Act as a culture carrier, helping engineering leaders build and reinforce an environment of technical excellence, psychological safety, and inclusion. What We're Looking For 7–10+ years of progressive HR Business Partner experience, with a significant portion spent directly supporting Engineering, R&D, or other highly technical client groups. Proven experience operating at a senior level, partnering directly with VP- and Director-level engineering leaders. Deep understanding of engineering organizational structures, career ladders (IC vs. management tracks), and the specific talent dynamics of technical hiring and retention. Strong track record leading org design, workforce planning, and change management in a fast-paced, high-growth, or scaling technology environment. Excellent coaching skills with the credibility and presence to influence senior technical leaders. Data-driven approach to HR — comfortable building and interpreting people analytics dashboards to inform decisions. Sound judgment and experience navigating complex employee relations issues; working knowledge of employment law. Experience leading or contributing to compensation cycles, including equity compensation, for technical roles. Exceptional communication, influencing, and relationship-building skills across all levels of the organization. Bachelor's degree required; advanced degree (MBA, HR, Organizational Psychology) or SHRM-SCP/SPHR certification a plus. The base pay range for this role is between $210,000 and $265,000. Base pay will depend on your skills, qualifications, experience. This is a regular, in office full-time position with Forward.  We are currently in office two days per week (Tuesday/Thursday) Location : Santa Clara, California

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: Remote USA Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. About the Role Forward is looking for a HR Business Partner (HRBP) to serve as a strategic partner to our Sales organization. This role sits at the intersection of business strategy and people strategy, working directly with senior sales leaders (CRO, VPs of Sales, and Regional/Sales Directors) to build high-performing revenue teams, shape organizational design, and drive talent, culture, and change initiatives that scale with an evolving go-to-market motion. This role requires deep credibility with commercial leaders and fluency in the unique dynamics of a quota-carrying, commission-driven workforce. What You'll Do Serve as a trusted strategic advisor to Sales senior leadership, providing coaching and counsel on organizational design, territory/quota structure, workforce planning, and leadership effectiveness. Partner with sales leaders to translate revenue targets and go-to-market strategy into people strategies, including org design, span of control, and role architecture as the sales org scales or restructures. Lead full-cycle talent management for the client group: performance management, calibration, succession planning, promotion processes, and career pathing tailored to sales career ladders (RSD/AE, SDR/BDR, sales management, and sales enablement tracks). Use data and analytics (attrition, ramp time, quota attainment, rep productivity, pipeline health as it relates to headcount, promotion equity) to diagnose organizational health and recommend proactive interventions. Partner closely with Talent Acquisition on sales-specific hiring strategy, headcount planning, and workforce composition, including seasonal/quarterly hiring cycles tied to sales capacity planning. Lead or co-lead org design and change management efforts tied to territory realignments, reorganizations, M&A integration, or new market/segment launches. Coach sales managers and directors on leadership skills, performance conversations, managing underperformance in a quota-driven environment, and team motivation. Partner with Compensation on commission plan design, quota setting implications, and annual compensation planning cycles (merit, equity, promotions) to ensure competitiveness and pay-for-performance alignment. Own employee relations matters within the client group, including performance improvement plans and terminations tied to quota non-attainment, ensuring fair, consistent, and legally sound resolution. Champion diversity, equity, and inclusion initiatives specific to the challenges of building diverse sales teams. Partner cross-functionally (Talent Acquisition, Legal, Sales Enablement) to design and deliver programs that meet the unique needs of a revenue organization. Act as a culture carrier, helping sales leaders build and reinforce an environment of high performance, accountability, and inclusion. What We're Looking For 7–10+ years of progressive HR Business Partner experience, with a significant portion spent directly supporting Sales, Revenue, or other quota-carrying/commission-based client groups. Proven experience operating at a senior level, partnering directly with CRO, VP, and Director-level sales leaders. Deep understanding of sales organizational structures, compensation plan design (base/commission/OTE), quota methodology, and the specific talent dynamics of hiring and retaining sales talent. Strong track record leading org design, workforce planning, and change management in a fast-paced, target-driven, high-growth environment. Excellent coaching skills with the credibility and presence to influence senior commercial leaders. Data-driven approach to HR — comfortable building and interpreting people analytics dashboards (attrition, ramp, productivity) to inform decisions. Sound judgment and experience navigating complex employee relations issues, including performance-based terminations; working knowledge of employment law. Experience partnering on incentive compensation design and annual compensation planning cycles. Exceptional communication, influencing, and relationship-building skills across all levels of the organization. Bachelor's degree required; advanced degree (MBA, HR, Organizational Psychology) or SHRM-SCP/SPHR certification a plus. The base pay range for this role is between $210,000 and $265,000. Base pay will depend on your skills, qualifications, experience, and location

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

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. Location: Vancouver, Canada Employment Type: Full-Time, 6-Month Fixed-Term Contract Work Arrangement: On-Site ABOUT THE ROLE We are looking for a Robotics Test & Validation Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the testing, characterization, and validation of advanced robotic components and subsystems. You will work hands-on with robotic actuators, joints, mechanisms, grippers, and dexterous robotic hands, helping ensure that our hardware meets performance, reliability, and safety requirements. Working closely with Mechanical, Electrical, Controls, and Embedded Software engineers, you will develop and execute test procedures, build test fixtures, analyze performance data, and contribute to continuous design improvements. This position offers the potential to transition into a permanent, full-time role based on individual performance, business needs, and future opportunities within the team. This is an exciting opportunity for an early-career or intermediate engineer to gain hands-on experience in robotics testing, actuator characterization, automated validation, and hardware development while learning from experienced robotics professionals. WHAT MAKES THIS ROLE EXCITING - Work hands-on with advanced humanoid robotic hardware, including actuators, joints, grippers, and dexterous robotic hands. - Develop and execute tests that directly influence the performance, reliability, and safety of next-generation humanoid robots. - Gain practical experience in actuator characterization, sensor calibration, motor control, and automated testing. - Build and improve custom test rigs and validation systems for complex electromechanical components. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and embedded software. - See your testing and engineering insights directly contribute to real robotic hardware improvements. WHAT YOU’LL DO - Design, plan, and execute test procedures for robotic actuators, joints, mechanisms, grippers, and robotic hands, ensuring performance against engineering requirements. - Build, assemble, and maintain test fixtures, test rigs, and measurement setups for functional, dynamic, endurance, and reliability testing. - Perform actuator and sensor calibration, including encoders and motor control loops for current, velocity, and position, under the guidance of Controls engineers. - Support actuator and subsystem characterization, measuring parameters such as torque output, friction, inertia, backlash, stiffness, thermal behavior, efficiency, and backdrivability. - Develop and improve automated test procedures and hardware/software test setups to evaluate motor performance, force output, operating limits, and system reliability. - Conduct lifecycle, stress, thermal, endurance, and environmental testing on robotic components and subsystems. - Collect, analyze, and interpret test data, identifying performance trends, anomalies, and potential failure modes. - Prepare clear test reports, performance summaries, and validation documentation, communicating findings to engineering teams. - Work closely with Mechanical, Electrical, Controls, and Embedded Software engineers to identify root causes of hardware failures and support design improvements. - Collaborate with design engineers to define testable requirements, acceptance criteria, tolerances, and performance metrics. - Support incoming quality inspections, assembly-level verification, and hardware troubleshooting. - Assist with closed-loop actuator testing, evaluating system behavior, stability, and response under different operating conditions. - Maintain organized test documentation, procedures, results, and equipment records. - Contribute to improvements in testing efficiency, automation, repeatability, and validation processes. WE’RE LOOKING FOR - 1–4 years of relevant hands-on experience in robotics testing, hardware validation, mechatronics, electromechanical systems, or a related technical field. - Bachelor's degree or technical diploma in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related discipline, or equivalent practical experience. - Hands-on experience testing, troubleshooting, or validating mechanical, electrical, or electromechanical systems. - Understanding of electric motors, actuators, sensors, mechanical mechanisms, and basic control systems. - Experience working with laboratory and measurement equipment, such as oscilloscopes, multimeters, power supplies, force sensors, and data acquisition systems. - Familiarity with test procedures, data collection, performance measurements, and technical reporting. - Basic understanding of motor control principles, including current, velocity, and position control. - Experience with Python, MATLAB, LabVIEW, or similar tools for test automation, data analysis, or engineering calculations. - Ability to read and interpret mechanical drawings, electrical schematics, and technical documentation. - Strong analytical and practical problem-solving skills, with the ability to identify issues and support troubleshooting activities. - Good attention to detail when performing precision measurements, calibration, and hardware testing. - Ability to collaborate effectively with Mechanical, Electrical, Controls, and Embedded Software engineering teams. - Comfortable working in a fast-paced R&D environment with evolving hardware designs and testing priorities.   WHAT WE OFFER - Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks. - Gain hands-on experience developing next-generation humanoid robots. - Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position. - Work directly with advanced robotic hardware and complex electromechanical systems. - Learn from a highly experienced, multidisciplinary robotics engineering team. - Contribute to real engineering projects, from prototype assembly through testing and validation. - Build valuable technical experience in a fast-paced robotics startup environment. - Join a collaborative, mission-driven team working at the forefront of humanoid robotics.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. Location: Vancouver, Canada Employment Type: Full-Time, 6-Month Fixed-Term Contract Work Arrangement: On-Site   ABOUT THE ROLE We are looking for a Robotics Prototype Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the assembly, integration, testing, and validation of advanced humanoid robotic systems. You will work hands-on with robotic hands, arms, end-effectors, actuators, sensors, and complex electromechanical assemblies, helping bring new robotic designs from engineering concepts to functional prototypes. Working closely with our Mechanical, Electrical, Embedded Software, and Controls teams, you will support prototype builds, troubleshoot hardware issues, perform calibration, and contribute to continuous design improvements. This opportunity is ideal for an early-career or intermediate engineer who enjoys practical engineering challenges, wants to strengthen their robotics expertise, and is excited to learn from a highly experienced multidisciplinary engineering team.   WHAT MAKES THIS ROLE EXCITING - Work hands-on with advanced humanoid robotic hardware, including dexterous hands, arms, actuators, and precision mechanisms. - Gain practical experience in robotic assembly, sensor integration, calibration, and hardware troubleshooting. - Collaborate with experienced robotics engineers across mechanical, electrical, embedded software, and controls disciplines. - Contribute directly to prototype development, testing, and continuous design improvements. - Build valuable experience in a fast-moving robotics R&D environment, working on real humanoid robots.   WHAT YOU’LL DO - Assemble and integrate robotic prototypes and electromechanical systems, including robotic hands, arms, end-effectors, actuators, sensors, and mechanical assemblies. - Support prototype builds, hardware integration, and system commissioning, following engineering drawings, schematics, and assembly instructions. - Perform functional testing, troubleshooting, and validation of robotic components and assemblies. - Assist with sensor calibration and actuator commissioning, ensuring components operate according to engineering requirements. - Work closely with Mechanical, Electrical, Embedded Software, and Controls engineers to identify and resolve hardware integration issues. - Support rapid prototyping and design iterations, including mechanical adjustments, wiring modifications, component replacement, and testing. - Perform basic electrical and mechanical troubleshooting, using appropriate laboratory equipment and diagnostic tools. - Record test results, assembly observations, technical issues, and corrective actions, maintaining accurate engineering documentation. - Support routine maintenance, repairs, and upgrades of robotic prototypes and subassemblies. - Provide practical feedback to engineering teams to improve assembly processes, component reliability, and prototype performance. - Maintain an organized and safe working environment, including proper handling of specialized tools, equipment, and sensitive robotic components. WE’RE LOOKING FOR - 1–4 years of relevant hands-on experience in robotics, mechatronics, electromechanical assembly, hardware prototyping, or a related technical field. - Bachelor's degree or technical diploma in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience. - Hands-on experience assembling, testing, or troubleshooting mechanical and electrical systems. - Understanding of electromechanical components, including motors, actuators, sensors, wiring, and mechanical assemblies. - Ability to read and follow mechanical drawings, electrical schematics, wiring diagrams, and technical instructions. - Experience with soldering, wiring, connectors, cable assembly, or other precision assembly techniques. - Familiarity with basic electrical and mechanical testing equipment, such as multimeters, power supplies, and precision measurement tools. - Basic understanding of sensor integration, calibration, or actuator operation. - Strong practical problem-solving skills and a willingness to learn new technologies and engineering methods. - Good attention to detail when working with precision components and complex assemblies. - Ability to work effectively in a collaborative, fast-paced engineering environment.   WHAT WE OFFER - Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks. - Gain hands-on experience developing next-generation humanoid robots. - Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position. - Work directly with advanced robotic hardware and complex electromechanical systems. - Learn from a highly experienced, multidisciplinary robotics engineering team. - Contribute to real engineering projects, from prototype assembly through testing and validation. - Build valuable technical experience in a fast-paced robotics startup environment. - Join a collaborative, mission-driven team working at the forefront of humanoid robotics.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Acts as the senior Rewards Business Partner and connective layer between Nebius' global Rewards operating model and its global Infrastructure organization. Owns delivery of company-wide rewards programs into Infrastructure, ensuring effective execution, adoption, and alignment with global principles, governance, and controls. Brings deep understanding of Infrastructure priorities, talent needs, and external market trends to proactively recommend evidence-based improvements or adaptations. Any changes are developed with global program owners and agreed through established governance, preserving one coherent Nebius operating model. Key Responsibilities: Owns end-to-end delivery of Nebius' global rewards programs for Infrastructure, translating enterprise frameworks into clear plans, decisions, communications, and manager actions that work effectively for the organization. Serves as a trusted advisor to senior Infrastructure leaders, HR Business Partners, and Talent Acquisition, balancing strong advocacy for Infrastructure needs with stewardship of company-wide consistency, fairness, affordability, and governance. Leads evaluation of new and evolving Infrastructure roles within Nebius' global job architecture, recommending grade, salary range, incentive opportunity, and equity treatment and escalating genuine framework gaps to the relevant global owners. Leads Infrastructure delivery across merit, bonus, and equity cycles, coordinating global timelines and requirements, guiding leadership calibrations, resolving complex issues, and ensuring accurate, equitable, and on-budget outcomes. Monitors external market trends and internal Infrastructure workforce data across geographies, roles, pay mix, and incentive practices; identifies emerging gaps and converts the evidence into practical recommendations for global program owners. Applies Nebius' global equity frameworks across Infrastructure, ensuring consistent treatment while surfacing evidence-based proposals for geographic, performance, or critical-talent differentiation through the appropriate governance channels. Builds and scales local compensation policies as Infrastructure expands into new countries and regions, ensuring new-market pay practices align with global governance while reflecting local market realities. Develops executive insights on pay positioning, incentive outcomes, equity value, budget impact, hiring trends, and retention risk, connecting Infrastructure-specific signals to enterprise priorities and clear decisions. Tracks delivery, adoption, and effectiveness of rewards programs in Infrastructure, identifies structural pay, incentive, compression, or equity risks, and leads corrective action with global program owners and business stakeholders. Acts as the two-way bridge between Infrastructure and global Rewards: brings business insight into enterprise design, influences priorities and practical adaptations, and translates, supports, and explains global approaches within Infrastructure. Leads manager enablement and guides less experienced rewards professionals. Requirements: Extensive progressive experience in compensation or total rewards, including substantial business-partnering experience with Engineering, Infrastructure, or other technical functions in a complex multinational organization. Advanced, wide-ranging knowledge of base salary, equity programs, market pricing, job evaluation, and annual compensation planning, with depth in technical/infrastructure reward models and international, multi-country pay practices. Advanced analytical and financial modeling skills, with the ability to evaluate ambiguous variables, assess business and cost implications, and turn complex data into clear executive recommendations. Demonstrated success influencing and constructively challenging senior stakeholders while balancing business advocacy with enterprise stewardship, global consistency, and sound governance. Executive-level communication, consulting, and facilitation skills, with the ability to align diverse stakeholders and explain sophisticated rewards concepts with clarity and commercial relevance. Experience owning delivery of cross-functional rewards programs in a matrixed global model and using compensation, market, and business intelligence tools to drive scalable outcomes. Experience in a publicly listed, global, fast-growing technology or AI organization preferred; experience guiding other rewards professionals and a Certified Compensation Professional (CCP) designation are advantageous. #LI-CH1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom Workplace: none About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale. About the Role We’re looking for a Senior Product Manager, Payments to join our Product team, reporting to the Head of Product, Backoffice. Your mission is to make moving money into and out of InvestEngine as seamless as possible, using technology and strong partnerships to deliver reliable, scalable payment experiences, automate processes and power our marketing promotions. You’ll work closely with engineering, operations, customer experience, compliance and marketing, as well as our payment partners, and have the autonomy to own solutions from end to end. What You’ll Do Product strategy and delivery Own the vision, strategy and roadmap for our money-in and money-out payment rails and our promotions engine Lead discovery and delivery of new payment functionality, from identifying opportunities through to launch and measurement Identify and automate manual processes and customer journeys to improve efficiency, reliability and the customer experience Work with engineering to deliver scalable integrations and manage dependencies across payments, trading and reconciliation Partners and stakeholders Own product relationships with our payment partners, including TrueLayer and GoCardless, aligning roadmaps, resolving issues and spotting opportunities to innovate Own and develop the promotions engine that powers our marketing campaigns, working closely with Marketing Work with Operations, Customer Experience and Compliance so journeys are practical, well controlled and deliver good customer outcomes Communicate priorities, trade-offs and progress to stakeholders and senior leadership Risk and commercial impact Balance innovation and speed with payment reliability, operational risk and regulatory requirements Build business cases for investment, considering customer value, cost and operational impact Monitor the payments market and identify opportunities to improve our proposition What We’re Looking For Solid product management experience, including ownership of complex payment products or journeys (e.g. Open Banking, Direct Debit, Faster Payments, payouts) A track record of delivering new payment functionality and integrating with third-party providers Experience automating manual processes and customer journeys, with measurable improvements Strong experience managing external partners, aligning priorities and influencing roadmaps Ability to work closely with engineers on integrations and dependencies across multiple systems Confident using data to prioritise, build business cases and measure outcomes Sound judgement in balancing customer experience, commercial value, operational risk and control Strong communication and stakeholder management skills English fluency (C1 level and above) Nice to Have Fintech or investing experience, particularly how payments connect to trading and reconciliation Experience with promotions, incentives, rewards or referral platforms Practical use of AI in your product work How We Work We’re a lean, fast-moving team that values clarity, ownership, and transparency. You’ll have the freedom to experiment, the responsibility to follow through, and the backing of a team that values clear thinking and open dialogue. We believe in solving problems at the root, not just treating the symptoms. What We Offer Impact from day one You’ll own a critical part of the customer experience and see the results of your work quickly. Room to grow As we scale, you’ll have opportunities to expand your responsibilities, influence how we work, and help shape our long-term direction. Transparent and open culture We share decisions openly, keep communication channels clear, and encourage collaboration across every part of the business. Supportive, high-calibre team Work alongside talented professionals who are experts in their fields — smart, driven, and generous with their knowledge. Hybrid and flexible Hybrid working from our London office, with a focus on results, not rigid hours. Our Hiring Process Introductory call with our Talent team Interview with the hiring manager focused on your payments and product experience Product case discussion Senior leadership interview to explore alignment with our culture, values and strategic direction

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. THE ROLE Alan’s Insurance Compliance Counsel, you will be Alan's expert on insurance compliance and consumer protection regulation. You will define how regulatory obligations translate into Alan's tools, processes, and products. You will own the compliance posture on your perimeter, proactively manage our exposure, and be the primary interface with regulators on the topics you cover. You will also be a key connector between the compliance function, internal control, and the audit processes Alan conducts - ensuring audit findings are properly digested, remediated, and embedded into how we operate. As Alan expands into new markets, you will play a central role in ensuring our compliance standards travel with us: adapting Group frameworks to local requirements and helping stand up the right compliance foundations in new geographies. The role sits within the Legal Area in the Corporate Unit, and involves close daily collaboration with the Legal, Insurance, Operations, Sales, Care, and Product teams across all of Alan's markets.   WHAT YOU WILL DO Own Alan's Insurance Compliance Posture - Define how regulatory obligations relating to Alan’s core product (IDD including duty of advice, product governance, AML/CFT, etc.) translate into Alan's operational processes, product design, and tooling - Suggest optimal ways to meet regulatory requirements within Alan's products while improving members' experience - from pricing components and options design to UX choices and complaint handling - Proactively identify compliance risks, assess their exposure, and develop mitigating action plans in coordination with internal stakeholders - Lead the structuring and continuous improvement of Alan's complaints management framework across France, Belgium, and Spain, ensuring compliance with ACPR recommendations and local equivalents Reporting & Audits - Serve as the compliance function's key contributor to Alan's internal control system: document compliance-related risks and controls in the Group's centralised mapping, and co-deploy the internal control approach across teams (Insurance, Operations, Sales, Care) - Prepare and support internal and external audits: assess Alan's standing against planned operational improvements, define remediation plans, and drive and monitor their effective implementation - Report on compliance obligations and risk exposure to Alan's Board and governance committees, with clarity and foresight; Manage regulatory reporting obligations including the ACPR Questionnaire Protection de la Clientèle (QPC) - Respond to regulatory inspections (ACPR, FSMA, or equivalent in Alan’s operating countries), coordinating internally and ensuring Alan is always audit-ready AML/CFT & KYC - Support the AML framework: conduct second-level analysis on suspicious cases, manage relationships with regulatory bodies and financial intelligence units, approve high-risk client relationships (including PEPs), and maintain the AML/CFT risk assessment framework - Oversee KYC Ops referents' training and upskilling, including Belgium-specific AML requirements - Coordinate with the AMLO on annual priorities, documentation, monitoring tools, and regulatory reporting to the ACPR and equivalent supervisors Compliance Roadmap & Stakeholder Coordination - Maintain Alan's compliance roadmap: prioritise, track progress, update the risk mapping, and re-prioritise as the regulatory environment evolves - Lead compliance projects with internal stakeholders across Insurance, Product, Sales, Care, and Operations, translating regulatory requirements into concrete deliverables and timelines - Contribute to pragmatic compliance positions on regulatory requirements that affect our products and contracts - turning complex constraints into well-reasoned, pragmatic solutions that support the business. Regulatory Training & Internal Capability - Design and maintain mandatory regulatory training programmes for Sales and Care roles (IDD competency requirements including duty of advice and product governance, Loi Evin, AML/CFT) - Build internal compliance frameworks, guidelines, and decision-making tools that increase team autonomy and reduce reliance on external resources - Contribute to Alan's written culture by producing high-quality documentation that teams can rely on independently International Compliance & Localisation - Ensure Alan's compliance standards travel consistently across all Group markets, whether existing (France, Belgium, Spain, Canada) or newly opened, adapting Group frameworks to local regulatory requirements and deploying them locally in coordination with local counsel.   PROFILE Experience & Skills - 4+ years of experience in compliance in an insurance or fintech company; solid coverage of at least two of the following: AML/CFT, insurance distribution (IDD), complaints handling, regulatory reporting - Solid understanding of the French insurance regulatory framework and ability to work across EU/local requirements - Proven ability to lead compliance projects cross-functionally: you translate regulatory requirements into clear priorities, align internal stakeholders, and deliver without creating bottlenecks or increased friction - Bilingual French/English (both required, written and spoken) - International exposure is a strong plus You Will Thrive Here If You Are - A pragmatic problem-solver: you find the right answer within regulatory constraints rather than defaulting to the most conservative one - Rigorous and well-organised: you maintain high documentation standards, track your commitments, and keep stakeholders informed - Business-minded: you understand what matters for the company's growth and your members' protection, and you calibrate your compliance work accordingly 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE TEAM People Intelligence sits within People and Communications. We build the data and products behind talent decisions at every level — from leaders, managers, and employees. Our partners in Total Rewards, HRBP, Talent Management, and People Operations depend on what we ship..The team is a growing team, and you will help set the engineering standard for how we build. IN THIS ROLE, YOU'LL HAVE THE OPPORTUNITY TO: - Lead technical projects from first design through launch and iteration, across products such as performance cycles, compensation planning, talent reviews, total rewards statements, and self-service tools. - Design scalable architectures that integrate with our internal systems (i.e. Workday, Ashby, etc.) and our people data platform, that holds up when the whole company is in a review or compensation cycle. - Build with security in mind from the first commit, including role and reporting-line access, protection for compensation and performance data, and an audit trail on every change. - Work directly with Total Rewards, HR business partners, Talent Management, and People Operations to understand how each program runs, transforming it into products that managers and employees want to use. - AI is native to you, and speeds up how you design, build, and test, to help the team adopt the workflows that hold up. - Raise the technical bar through design reviews, code review, documentation, and mentorship. SKILLS YOU BRING: - 5+ years of professional software development, with a track record of building internal tools and production systems that employees and teams depend on every day. - Full-stack experience building web applications, with depth in at least one of Ruby, Python, TypeScript, or Kotlin, and a modern frontend framework such as React. - Experience designing systems that handle sensitive data, including authentication, fine-grained authorization, and auditability. - Clear communication with non-technical partners, and the product judgment to simplify a complex process rather than rebuild. - Experience taking a product from 0 to 1, including making architectural calls with incomplete information and revisiting them as you learn. NICE-TO-HAVE'S: - Experience building HR or people products, such as performance management, compensation planning, talent management, or employee self-service. We value this domain depth highly. - Experience integrating with an HRIS such as Workday, including its APIs and effective-dated data and other HR related systems (i.e. Ashby, Lever, Shareworks, Okta, etc.) - Familiarity with how people programs run, including review and calibration cycles, compensation bands and merit planning, and job architecture. - Experience in a regulated or privacy-sensitive environment. WHO YOU ARE: - You are self-directed, and you find the next problem worth solving without waiting for a ticket. - You are curious about how things work, and you ask why a process exists before you change it. - You treat employee data with care and think about privacy and access as design constraints from the start. - You would rather ship a simple version, learn from real users, and improve it than hold back a perfect one. - You own outcomes, not just code, and you stay with a product after it launches. - You make the people around you better through pairing, reviews, and clear writing. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.