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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. OUR MISSION At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. ABOUT THE ROLE As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments. WHAT YOU'LL DO - Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures. - Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies. - Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning. - Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance. - Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality. - Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models. - Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply. - Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops. WHAT WE'RE LOOKING FOR - A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it. - Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction. - Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities. - Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code. - Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly. - Excitement about grounding generative models in physical reality rather than pixels alone. NICE TO HAVE - Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL). - Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations. - Experience using world models for policy evaluation or synthetic data generation at scale. - Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions. - Experience optimizing generative models for fast inference. 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: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice AI Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Brazil) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: British Columbia; Canada Wide - Excluding Quebec Workplace: Hybrid Safe Software is looking for a Senior Manager, People Operations & Total Rewards to join our HR team. As Senior Manager, you will own compensation philosophy and architecture, total rewards and benefits, people operations and systems, and AI enablement for People & Culture — company-wide, across GTM, Product & Development, and every other part of the business. This role has real impact: it builds the comp philosophy people trust and the people systems that don't break as Safe scales toward $250M ARR. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As part of the HR team, you'll join a group of HR professionals who partner directly with business leaders across Safe Software. Unlike our HR Business Partners, who are each embedded with a specific part of the business, this role owns the infrastructure underneath all of them — compensation, benefits, HRIS, and people operations, company-wide. You'll report to the HR Director, lead a team of two, and work closely with the CRO, Finance, and the Sr. HRBPs in GTM and Product & Development, who rely on your data and infrastructure to do their jobs well. Safe builds FME, the data integration platform trusted by 40,000+ organizations in over 100 countries. Profitable, PE-backed, and on a deliberate path to $250M ARR, every part of the business is scaling at once — and none of it holds together without a comp philosophy people trust and people systems that don't break. That infrastructure doesn't exist yet in the form this stage of growth needs. You're building it. WHAT YOU'LL BE DOING As Senior Manager, People Operations & Total Rewards, you will operate at all altitudes — one week rebuilding the leveling framework that every promotion decision at Safe will run through for the next three years, the next designing an AI workflow to save the team two hours of repetitive work or recalculating a pay band because one offer would have broken it. Both are the job. COMPENSATION PHILOSOPHY & ARCHITECTURE - Own the philosophy, not just the policy. Define what “competitive” means at Safe — market positioning, pay ranges, geographic strategy — and be able to defend it in the room, not just document it. This is a point of view, not a survey result. - Build the architecture from first principles. Job architecture, leveling, and banding largely don't exist in a form that scales past Safe's current size. You're building the framework that holds the next 500 hires, with AI in mind, not patching the one built for the first 50. - Run the comp cycle end to end. Merit, profit sharing, variable compensation, commissions — own the calendar, the modeling, manager enablement, and calibration inputs. The Sr. HRBPs in GTM and P&D own the business conversation; you own the philosophy and the infrastructure underneath it. - Design variable pay where the business needs it most. Partner with the CRO, the Finance team, and the GTM HRBP on OTE structures and quota frameworks. You're not approving their work after the fact — you're building it with them, as the expert in the room on compensation. TOTAL REWARDS & BENEFITS - Own the benefits strategy end to end. Plan design, vendor selection, renewal cycles, and annual open enrollment — across a workforce that's about to span more than one country. - Build for EMEA and US growth. GTM's international build-out is coming. Benefits, pay bands, and statutory requirements need to exist before someone in an international location gets an offer letter, not after. - Make total rewards legible. Comp statements, benefits guides, and manager talking points that explain the “why,” not just the number. If employees don't understand what they're paid and why, the philosophy isn't working yet. PEOPLE OPERATIONS & SYSTEMS - Make the HRIS the source of truth, not a system everyone works around. Own data integrity, workflow automation, and integrations across payroll, benefits, and the tools HR runs on. - Build the reporting infrastructure the business actually uses. Attrition, comp equity, calibration distributions — the Sr. HRBPs reference this data constantly. If it's wrong, slow, or missing, their advice to leaders is weaker. You build the pipes; they use the water. - Automate the process debt away. Onboarding paperwork, data entry, manual approvals — map what's manual today and give it back in hours, not workarounds. AI ENABLEMENT FOR PEOPLE & CULTURE - Be the AI enablement expert for the HR team. Find the tools, run the pilots, and bring back what works — for comp modeling, people ops workflows, and data synthesis. This is a working part of the job, not a side project: the rest of People & Culture shouldn't have to figure out AI adoption alone. - Lead the team's own AI transformation, not just your corner of it. Before People & Culture can credibly help the rest of Safe navigate the shift to AI, the team needs to live it first. You build the practices, comfort, and guardrails the rest of HR adopts. STRATEGIC PARTNERSHIP - Bring a point of view to every comp and data conversation. Pay equity analysis before someone asks for it. A retention read before someone resigns. The craft is in the interpretation, not the spreadsheet. - Be the person leaders call before the decision is final. Headcount planning, org design, a comp exception someone wants to make — you're in the room helping think it through, not rubber-stamping it afterward. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. REQUIRED SKILLS: - 7+ years in Total Rewards and/or Compensation, with real ownership of People Operations or HRIS - Built or substantially overhauled a job architecture or leveling framework - Led a full comp review cycle end to end — merit, bonus, and more - Comfortable owning HRIS as source of truth: data integrity, workflow automation, integrations - Fluency with people analytics: comp equity, pay bands, attrition, and calibration data - Has built and shipped AI-driven workflows that stuck — not pilots that fizzled out — with a proven track record implementing AI workflows in an HR/People context and the ability to mentor others toward the same fluency - Effective communication skills DESIRED SKILLS / BONUS POINTS: - Experience at a PE-backed or high-growth SaaS company ($100M–$500M ARR range) - CCP, CBP, or similar compensation certification - EMEA or multi-jurisdiction comp and benefits experience - Experience designing variable pay/OTE frameworks for a GTM org - HRIS implementation or migration experience - Experience preparing materials for leadership or a board compensation committee - A Bachelor's degree in Human Resources or a related field, or an equivalent combination of education and experience. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: San Francisco Workplace: OnSite 🧠 ABOUT LEGION HEALTH At Legion Health https://legionhealth.com/, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together. 📍 ROLE LOGISTICS - Job Type: Full-Time - Role Type: People / Talent / Recruiting / People Operations - Ideal Experience Level: 5+ years - Location: San Francisco - Work Setup: In person in San Francisco; this is not a remote role - Reports To: Co-founder and CEO - US Visa Sponsorship: Yes 🚀 THE OPPORTUNITY Legion is hiring a Head of Talent and People to build the talent engine and people operating system behind a category-defining healthcare company. You will be the senior-most owner of People and Talent at Legion. You will own the entire employee journey—from the first outbound recruiting message through interviews, closing, relocation, onboarding, performance, development, compensation, engagement, and eventual offboarding. This is an unusually broad, hands-on leadership role. In the same week, you might personally source an exceptional AI engineer, close a senior operator, coach a manager through difficult feedback, review payroll, coordinate an employee’s move to San Francisco, improve onboarding, and produce a company dinner or offsite. You will not inherit a large recruiting or HR team. During the first 12–18 months, you are the team: the lead recruiter, People operator, culture builder, employee-experience owner, and trusted adviser to the founders. You will build systems and eventually hire support only where the company’s scale and bottlenecks justify it. The right person combines the talent instincts of an elite startup recruiter, the operational precision of an exceptional People leader, the judgment of a trusted executive partner, and the warmth of someone who genuinely enjoys creating an extraordinary place to work. This is not a role for someone who wants to advise from a distance, manage a team of recruiters, or hand execution to vendors. We need a player-coach who can build the strategy, open Ashby, source candidates, close offers, fix broken processes, and personally make sure every new employee has a laptop and a great first day. ✅ RESPONSIBILITIES AND DELIVERABLES - Own Legion’s company-wide talent plan: translate business priorities, product roadmaps, clinical expansion, and organizational constraints into a sequenced hiring plan with clear role priorities, scorecards, timelines, and accountable hiring managers. - Personally run full-cycle recruiting across AI and engineering, product, consumer growth, operations, finance, clinical leadership, executive, and other hard-to-fill roles—from role kickoff and sourcing through assessment, references, offer negotiation, and close. - Build exceptional outbound pipelines. Identify and engage high-performing passive candidates through targeted research, personalized outreach, referrals, communities, events, founder networks, and persistent relationship-building. - Create a rigorous hiring standard for every role: outcome-based scorecards, calibrated interview plans, structured questions, useful work samples, interviewer training, evidence-based debriefs, references, and explicit hiring decisions. - Become a compelling closer. Understand what motivates each candidate and thoughtfully navigate compensation, equity, risk, mission, career trajectory, immigration, relocation, counteroffers, family considerations, and other barriers to joining an early-stage company. - Deliver an unusually strong candidate experience: fast communication, organized scheduling, prepared interviewers, honest expectations, thoughtful selling, clear decisions, and respectful rejection. - Build Legion’s employer brand and talent narrative across job descriptions, recruiting content, founder channels, employee stories, events, referrals, candidate materials, and targeted communities. - Own recruiting operations and analytics, including Ashby configuration, pipeline integrity, scheduling workflows, templates, agency management, recruiting spend, weekly talent reviews, forecasting, and hiring-manager accountability. - Measure recruiting performance using metrics that matter: quality of hire, source quality, qualified pipeline, conversion by stage, time in stage, time to fill, offer acceptance, hiring-manager responsiveness, candidate experience, retention, and agency dependence. - Own the complete employee lifecycle: offers, employment agreements, background checks, work authorization, onboarding, employee records, status changes, leaves, promotions, compensation changes, transfers, departures, and offboarding. - Run reliable payroll and payment operations for employees and contractors. Coordinate payroll changes, bonuses, deductions, reimbursements, commissions where applicable, tax registrations, and issue resolution accurately and on time. - Own the operating relationship with benefits, payroll, HRIS, equity, immigration, background-check, employment-law, and other People vendors. Hold every partner accountable for service, accuracy, cost, and employee experience. - Administer and continuously improve medical, dental, vision, leave, retirement, wellness, and other benefit programs, ensuring employees understand and can actually use what Legion provides. - Partner with finance and leadership on compensation philosophy, salary bands, equity practices, offer construction, promotions, market calibration, headcount planning, and People budgets. - Build pragmatic People infrastructure: policies, handbook, compliance calendar, employee files, required notices, training, reporting, approval workflows, templates, manager resources, and a clear source of truth. - Coordinate with qualified employment, immigration, benefits, tax, and other counsel to manage California and multi-state employment requirements, worker classification, accommodations, leaves, investigations, immigration, terminations, and other sensitive matters. You are not expected to be Legion’s lawyer, but you are accountable for recognizing risk early and getting the right advice. - Handle employee relations with discretion, fairness, speed, and sound judgment. Support investigations, performance concerns, interpersonal conflict, accommodations, conduct issues, improvement plans, and departures without avoiding difficult decisions. - Build a high-quality performance system: clear expectations, direct feedback, regular check-ins, talent reviews, manager calibration, development plans, promotion decisions, recognition, and decisive intervention when performance falls below Legion’s standard. - Help leadership design the organization as it scales: roles, reporting lines, spans of control, responsibilities, decision rights, succession risk, management capacity, and where the company should hire, develop, redesign, or part ways. - Coach founders and managers to become exceptional talent leaders. Help them set expectations, give feedback, interview effectively, make difficult calls, recognize excellent work, and build teams with high talent density. - Own relocation to San Francisco for new and existing employees. Design the policy and coordinate immigration, travel, temporary housing, moving support, reimbursements, payroll and state transitions, family considerations, and local onboarding from signed offer through successful arrival. - Make every employee operationally ready on Day 1. Coordinate laptops, accessories, mobile-device management, software, email, permissions, security access, account provisioning, workspace, onboarding schedules, equipment inventory, replacements, and returns. - Build an onboarding experience that accelerates time to impact: preboarding, company context, role-specific plans, compliance and security training, manager preparation, introductions, 30/60/90-day expectations, and structured feedback. - Own the San Francisco employee and workplace experience, including office operations, meals, supplies, vendors, workspace readiness, candidate onsite visits, safety, and the details that allow the team to do excellent work. - Create memorable internal experiences: team dinners, celebrations, launches, traditions, learning sessions, retreats, offsites, community events, and other moments that make Legion demanding, energizing, and fun. - Own the operating details behind company events, including objectives, budgets, venues, travel, vendors, accessibility, communications, attendance, execution, and post-event feedback. - Build effective internal communications so employees understand company priorities, organizational changes, new hires, policies, decisions, expectations, and the reasoning behind them. - Listen to the organization without becoming governed by surveys or consensus. Use direct conversations, employee feedback, manager input, operating data, and judgment to identify risks and improve the employee experience. - Use AI aggressively and responsibly to improve sourcing, outreach, scheduling, documentation, onboarding, employee self-service, People analytics, knowledge management, and repetitive administration while protecting confidential employee and candidate information. - Build the People and Talent team over time. Hire recruiters, coordinators, People operators, workplace support, or specialist partners only when the data and organizational needs justify additional leverage. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Within your first 30 days, you understand Legion’s business, team, open roles, hiring constraints, compensation practices, People systems, vendors, organizational risks, and most urgent operational gaps. - Every priority opening has a clear scorecard, calibrated interview process, accountable hiring manager, sourcing strategy, recruiting owner, and realistic closing plan. - Within 90 days, Legion has consistent outbound pipelines for its hardest roles, a disciplined weekly talent review, reliable recruiting data, and substantially less founder time lost to scheduling and recruiting administration. - Candidates move through Legion’s process quickly, encounter prepared interviewers, receive clear communication, and leave with a stronger impression of the company regardless of the final decision. - Legion consistently hires unusually capable people rather than merely filling seats. Quality of hire and long-term talent density remain more important than raw hiring volume. - Offers close because candidates understand Legion’s mission, expectations, upside, risks, compensation, equity, working environment, and the extraordinary opportunity in front of them. - Every new hire arrives in San Francisco with relocation barriers addressed and begins Day 1 with the necessary equipment, access, schedule, context, relationships, and expectations. - Payroll, benefits, employee records, compliance deadlines, equity coordination, equipment, onboarding, and offboarding operate reliably without recurring surprises or manual heroics. - Managers give clearer feedback, address performance problems earlier, interview more effectively, and make better organizational decisions because of your coaching and systems. - Legion develops a practical compensation, leveling, performance, and promotion framework that employees and managers can understand without creating unnecessary bureaucracy. - Company events and rituals strengthen trust, connection, energy, and shared purpose rather than feeling like obligatory corporate programming. - You identify organizational, compliance, employee-relations, and retention risks before they become crises, and leadership trusts you to handle sensitive situations with discretion and courage. - You build a People function that is highly responsive and deeply human while remaining operationally rigorous, analytically grounded, and appropriately lean. - AI and automation eliminate meaningful administrative work without degrading candidate experience, employee trust, data security, or decision quality. - Twelve months from now, Legion has measurably higher talent density, a more predictable recruiting engine, stronger managers, faster onboarding, clearer expectations, and substantially less reactive People work sitting with the founders. 🧰 IDEAL BACKGROUND AND SKILLS - 5+ years of progressively responsible experience spanning recruiting, talent leadership, People Operations, HR, or organizational leadership at high-growth technology companies. - Experience serving as the first, early, or senior-most People and Talent hire at a venture-backed startup—ideally while scaling from approximately 25–50 employees to 100–150+. - Demonstrated success personally sourcing, assessing, and closing exceptional passive candidates for difficult roles. You are still energized by recruiting and do not consider sourcing or coordination beneath your level. - Strong technical-recruiting ability across AI, engineering, data, and product, plus the versatility to recruit consumer growth, operations, clinical leadership, finance, and executive talent. - Evidence that your hires became high-performing, durable members of the organization—not simply that you hit an annual hiring number. - Experience building recruiting infrastructure from zero or rebuilding an inconsistent system: workforce planning, scorecards, structured interviews, interviewer training, referrals, sourcing operations, analytics, employer branding, and closing. - Hands-on People Operations experience across payroll, benefits, HRIS, employee records, equity administration, onboarding, offboarding, leaves, policies, vendor management, and compliance. - Sound working knowledge of California and multi-state employment practices, with the judgment to identify when specialized employment, immigration, tax, or benefits counsel is required. - Experience managing sensitive employee-relations matters, investigations, performance improvement, terminations, accommodations, organizational changes, and other high-stakes situations. - Experience designing or operating compensation bands, leveling, performance reviews, promotion processes, talent reviews, manager training, and workforce planning. - Excellent judgment under ambiguity. You can balance speed, consistency, empathy, legal risk, individual circumstances, and company standards without hiding behind policy. - Strong analytical fluency. You can build dashboards, diagnose funnel problems, forecast hiring capacity, audit compensation, evaluate vendors, and distinguish useful People data from vanity metrics. - Comfortable with tools such as Ashby, Rippling, Gusto, Justworks, Deel, Carta, Pave, Slack, Notion, Google Workspace, modern device-management systems, and AI tools for sourcing, analysis, automation, and documentation. - Exceptional written and verbal communication. You can write a compelling outbound message, a precise policy, a sensitive employee communication, a strong job description, and a clear executive recommendation. - High discretion and unquestioned integrity. People trust you with information that cannot be mishandled, politicized, or casually shared. - High warmth and high standards. You care deeply about people without confusing care with avoiding accountability or lowering the bar. - Strong hospitality and event instincts. You notice the operational details that make interviews, first days, dinners, retreats, and the everyday workplace feel intentional. - Low ego, high urgency, and founder-level ownership. You can set a talent strategy Monday, source candidates Tuesday, fix payroll Wednesday, coach a manager Thursday, and run an exceptional team event Friday. - Willing and excited to work in person in San Francisco and to help build an in-person culture with exceptional energy, trust, and execution. - Especially valuable: Experience in healthcare, regulated technology, AI, clinician recruiting, mixed employee/contractor workforces, immigration, relocation, workplace operations, or rapid office-based scaling. 💰 COMPENSATION & BENEFITS - Salary: $170,000–$260,000, based on experience - Early-Stage Equity: Meaningful ownership in a category-defining company - Health Insurance: Medical, dental, and vision benefits - Relocation: Support for moving to San Francisco - US Visa Sponsorship: Available for exceptional candidates - Additional Perks: In-person retreats, company events, meal stipends, AI tooling, and professional-development support - Time Off: Flexible, unlimited vacation policy - Work Hours: Flexible, with the responsiveness and intensity expected from a company-building leadership role - Work Setup: In person in San Francisco; this role owns a meaningful part of Legion’s in-person employee experience - Impact: Build the team and operating environment behind a company trying to change health care forever - Autonomy and Learning: Own People and Talent end-to-end, with direct access to the founders and visibility into every part of the company - Growth Opportunities: With exceptional performance and company growth, this role can develop into VP of People and Talent, Head of People, or another executive leadership position. 📝 HOW TO APPLY AND HIRING PROCESS - Apply here: https://jobs.ashbyhq.com/legionhealth/3f5d8943-7668-4546-8373-54b56b951341/application - Overview of our hiring process: 1. Resume + Application Screen 2. Founder Interview 3. Live Working Session or Case Study 4. Onsite Cross-Functional Interviews with Founders 5. Professional Reference Checks, including former executives, peers, internal customers, and direct reports where applicable - Estimated time-to-hire: 2 weeks - Start date: ASAP - Hiring manager: Yash Patel, CEO 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply. Pursuant to the San Francisco Fair Chance Ordinance, Legion Health will consider for employment qualified applicants with arrest and conviction records. Legion Health is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and interview process. Applicants who require an accommodation should inform their recruiting contact.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Al Hofuf, Saudi Arabia ERAM Talent is seeking for an experienced Microbiologist . The successful candidate will be responsible for conducting microbiological testing on raw materials, water, production environments, and finished products to ensure compliance with food safety and quality standards. The role requires expertise in detecting microbial contamination, maintaining laboratory quality systems, and supporting production teams with microbiological investigations. Key Responsibilities Perform microbiological analysis on raw materials, processing water, environmental samples, and finished beverage or powder products. Detect and identify spoilage microorganisms, including yeasts, molds, bacteria, and foodborne pathogens. Conduct routine environmental monitoring through surface swabs, air sampling, and sanitation verification. Evaluate the effectiveness of cleaning and sanitation programs, including Clean-In-Place (CIP) systems. Isolate, identify, and quantify microbial contaminants using standard microbiological techniques. Investigate contamination sources and support root cause analysis for microbiological deviations. Maintain accurate laboratory records, microbiological reports, and Certificates of Analysis (COAs). Ensure compliance with Good Laboratory Practices (GLP), biosafety procedures, and laboratory quality standards. Monitor and calibrate laboratory equipment, including incubators, autoclaves, and other microbiological instruments. Perform quality control checks on culture media and laboratory reagents. Collaborate with QA/QC and Production teams to investigate product spoilage, contamination incidents, and out-of-specification (OOS) results. Report microbiological deviations promptly and support product hold and corrective action procedures. Requirements Bachelor's degree in Microbiology, Food Microbiology, Biotechnology, Food Science , or a related field. Minimum 3 years of experience as a Microbiologist within the Food & Beverage Manufacturing industry . Hands-on experience in microbiological testing of beverages, food products, raw materials, and processing water. Strong knowledge of microbiological analysis techniques, pathogen detection, and environmental monitoring. Familiarity with Good Laboratory Practices (GLP), GMP, HACCP, ISO 22000, and food safety regulations. Experience using laboratory equipment such as incubators, autoclaves, microscopes, and microbiological testing instruments. Strong analytical, documentation, and problem-solving skills. Ability to investigate contamination events and support corrective and preventive actions (CAPA). Preferred Experience Experience in beverage, juice, dairy, or powdered food manufacturing. Knowledge of Clean-In-Place (CIP) validation and environmental hygiene monitoring. Familiarity with microbiological Certificates of Analysis (COAs) and Out-of-Specification (OOS) investigations. Exposure to shelf-life studies and food safety management systems.

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 We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform. This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill. - Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM. - Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution. - Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release. - Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates. - Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations. WE’RE LOOKING FOR: - Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows. - Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation. - Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware. - Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. - A design-for-serviceability mindset — you think about the technician in the field, not just the happy path. - Disciplined engineering practice and version control (Git). NICE TO HAVE: - Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. - Familiarity with remote-diagnostics or fleet-telemetry platforms. - Experience authoring service documentation or work instructions consumed by non-engineers. - Exposure to Design-for-Serviceability / DfMA on a hardware product line. 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: 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 We are looking for a Senior Electrical Serviceability Engineer to own the electrical and electronics dimension of serviceability for our humanoid robots. Product Services Engineering ensures the robot is designed to be maintained — modular, repairable, and serviceable at low skill in the field. You will own that mission for everything electrical: power distribution and batteries, wiring and harnesses, connectors, sensor and actuator drive electronics, and compute — including how faults are diagnosed, how systems are safely isolated, and how parts are replaced and reworked at the right BOM level. This is a deeply technical, hands-on role. You will validate the electrical and electronics dimension of every service procedure before production, define the diagnostic points and safe-working practices that let our field and Repair Centre teams work quickly and safely, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for electrical and electronics: drive accessibility, connectorisation, safe isolation, and low-skill field-executability into the product before design is locked. - Define and validate electrical repair, rework, and replacement procedures at the correct BOM level — module/assembly for the field, deeper for the Repair Centre — across power distribution, batteries, harnesses, sensor and actuator electronics, and compute. - Specify the diagnostic points, test equipment, and safe-isolation / lockout procedures needed to service the robot’s electrical systems safely and repeatably. - Define the electrical diagnostic content in the Digital Shadow platform — localising power, sensing, and actuation faults as deep as possible in the BOM. - Lead the electrical and electronics input to Service Failure Mode and Effects Analysis (S-FMEA) and feed serviceability requirements back into design. - Support New Services Introduction (NSI) for electrical scope, and act as the single point of entry from Services into R&D for electrical escalations. WE’RE LOOKING FOR: - Electrical or electronics engineering background with hands-on experience diagnosing and repairing complex electromechanical products or robots. - Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint. - Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining safe-isolation and lockout/tagout procedures. - Design-for-Serviceability experience: connectorisation, diagnostic access, fault isolation, and modularity of electrical assemblies. - A field-first, safety-first mindset — you design for the technician who has limited time, tools, and training, and for whom electrical safety is paramount. - Comfort working across the full BOM hierarchy, from full-robot diagnosis to board- and component-level repair. NICE TO HAVE: - Experience with humanoid or legged robotics electrical systems. - Familiarity with battery management systems (BMS), high-current power electronics, and functional-safety considerations. - Experience with calibration-after-repair for sensors and actuators. - Exposure to spare-parts / service-replaceable-unit (SRU) strategy and refurbishment loops. - Experience introducing serviceability into a product moving from prototype to mass production. 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: 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 We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions. This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians. WHAT YOU’LL DO: - Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots. - Deliver approved upgrades to existing robots and parts. - Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…). - Act as a flying doctor at customer sites for the most difficult on-site interventions. - Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions. - Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles. - Own refurbishment throughput and quality for the most complex part families, and certify work to specification. WE’RE LOOKING FOR: - Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation. - Proven ability to overhaul and restore complex electromechanical systems and full robots to specification. - Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence. - Ability to author work instructions and mentor other technicians. - Rigorous quality, certification, 5S and health-and-safety discipline. - Willingness to travel for on-site interventions. NICE TO HAVE: - Experience with humanoid, legged, or advanced robotics hardware. - Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics. - Exposure to failure-analysis methods and supplier-quality / warranty processes. - Experience setting up or scaling a repair or refurbishment operation. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days 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: Barcelona, Spain Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. About the role Our gaming business builds and scales a portfolio of casual, ad-monetized evergreen games (cards, words, puzzles, board games) from Barcelona. We’re rebuilding it as an AI-native team : instead of departments and management layers, we work in small squads, and each squad runs like a small studio that owns 1–3 games end to end: product, UA and monetization together. The reporting, coordination and analysis that used to need middle managers are handled by shared data and LTV models, AI agents and automation. The model follows "From Hierarchy to Intelligence" by Jack Dorsey (Block) and Roelof Botha (Sequoia Capital), and uses a few simple roles: Builder (IC): everyone builds. DRI (Directly Responsible Individual): owns one result end to end, has real authority over the squad’s effort and picks the team. It’s a role, not a rank. Player-coach: sets the standard of a discipline for all squads and makes their expertise easy to reach. A coach is accountable for the standard and for being available, not for other people’s numbers or growth. Advisor: brings outside expertise without owning a result. This seat is the player-coach for ad monetization, filled as an advisor. It’s an advisory engagement, not employment: part-time, fully remote, with scope and hours agreed together. You won’t own a squad, a team or a revenue number. The squad DRIs own their results, and you raise the monetization craft they work with. Why this seat exists: Monetization is set up game by game, by people with very different backgrounds, and on the same users our titles still earn less than the best competitor in each genre. We want senior, market-calibrated monetization standards and a person every squad can consult and learn from. Responsibilities: Set and keep the ad monetization standards every squad works to. Review and challenge the squads’ roadmaps from a monetization angle against the best casual evergreen titles, and bring in mechanics we haven’t tested. Make expertise easy to reach: regular office hours with squad DRIs and builders, config and experiment reviews, and written playbooks with real examples. Where it helps, open doors to ad networks, DSPs and exchanges relevant to casual gaming. Speak up when a standard isn’t followed. What this role is not: Not a head of a monetization department and not a manager: no direct reports and no team to build. Not accountable for squad or portfolio profit, and not asked to commit to it: each squad’s DRI owns their result. You’re accountable for the standards and for being available in the agreed hours. Requirements: Proven, hands-on experience leading monetization for casual, ad-monetized mobile games (cards, words, board, puzzle or similar evergreen genres). General ad-tech, mediation sales or IAP/midcore monetization backgrounds on their own aren’t enough. A track record of building a fast, rigorous experimentation culture (A/B tests, waterfall optimization, segment-level configs) with measurable business impact. Deep ad-tech knowledge: mediation (MAX, AdMob, in-house), bidding, waterfalls, floors and ad quality. Strong existing relationships with ad networks, DSPs and exchanges in casual gaming. Comfortable working from shared data and LTV models, with AI agents and automation, rather than through an analytics team. You can explain standards so that DRIs and builders from other disciplines can apply them. Format: Advisory, part-time, fully remote, with no office visits. Scope, hours and terms agreed together. A good fit if you’re not looking for a full-time move but want to share what you know. Why Join Us? You’ll shape how a whole portfolio of games makes money, without a full-time commitment. Your advice goes straight into live games, and you’ll see the results. You’ll work with squads that want to learn and move fast. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

Location: APAC About the Role OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes. What You'll Do Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities What We're Looking For Must-have Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred) 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas Proven track record of translating AI capabilities into measurable business outcomes End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams Nice to have Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration AI publications, patents, or industry-recognized technical contributions Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hybrid - Washington D.C Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role: As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production. Key Responsibilities: Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform) Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion Implement ICAM / OIDC authentication integration with AFS identity framework Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C Must-Have Qualifications: Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis. 6+ years total professional experience, 4+ years hands-on AI/ML engineering SAM 2 or equivalent foundation model integration for computer vision or video annotation Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines Python — strong, production-grade; comfortable with ML tooling and data pipeline development Experience configuring AI-assistive features in annotation platforms or ML data tooling Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: CVAT annotation platform — AI feature configuration and operation DoD or IC data program experience: CUI, distribution statements, federal data governance Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement Video understanding or FMV annotation experience DataCard or ML data provenance framework familiarity The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications. Note to Candidates: This role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality — and understands that in a federal data environment, every AI decision needs an audit trail. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. We’re looking for an experienced Senior Talent Specialist to join our People and Culture team. This is a great role for someone who’s passionate about finding great talent and working across various markets. We fundamentally believe the biggest driver of company success will be the speed and quality of our hiring. It sets the foundation for everything else that we do to achieve our ambitious mission.   ABOUT THE ROLE As a key member of the People & Performance team, you’ll play a hands-on role in attracting, sourcing, and hiring world-class talent to support our business as we scale globally. You’ll work closely with hiring managers to understand their team needs, anticipate upcoming roles, and manage end-to-end recruitment processes that ensure we bring in exceptional people who align with our mission and values. Reporting to the Talent Lead, you’ll focus on executing recruitment strategies, managing candidate pipelines, and delivering an outstanding candidate experience that reflects the calibre of our product and culture. This role is perfect for someone who thrives in a fast-moving environment, enjoys partnering closely with teams across the business, and wants to have a direct impact on how we grow.   WHAT YOUR DAY WILL LOOK LIKE - Manage full-cycle recruitment for roles across regions and functions, from sourcing and screening to coordinating interviews and supporting offer processes. - Contribute to talent strategy and workforce planning, supporting forward-looking hiring plans, capability mapping, and future skill needs as the business scales. - Help shape and evolve our Employee Value Proposition (EVP), partnering with People & Performance and the business to ensure our story resonates in the market and reflects the real employee experience. - Build scalable recruitment practices and foundations, designing processes, tools, and ways of working that can flex across regions, functions, and increasing hiring volumes. - Upskill and enable hiring leaders, through coaching, training, and ongoing partnership to lift interviewing quality, assessment rigour, and hiring decision-making. - Support compensation benchmarking and market insights, contributing data and insights to inform fair, competitive, and consistent offers aligned to our compensation philosophy. - Partner on diversity, equity, and inclusion initiatives, helping embed inclusive hiring practices and broaden access to talent across all roles. - Represent Halter in the market, acting as an ambassador at events, universities, and industry forums to strengthen our talent brand. - Build and maintain strong candidate pipelines for current and future roles, proactively sourcing talent through multiple channels. - Work closely with hiring managers to understand role requirements, team goals, and key success profiles. - Provide guidance on hiring processes and help managers run smooth, effective, and inclusive recruitment cycles. - Deliver an exceptional, consistent candidate experience at every stage of the process, reflecting our culture and values. - Ensure all communication and interactions contribute positively to our employer brand. - Maintain our ATS and recruitment workflows to keep the hiring process efficient and organised. - Track and share key metrics like time-to-fill, pipeline progress, and candidate feedback to help improve our approach over time.Support initiatives around internal mobility, diversity, and employer branding. - Look for opportunities to improve recruitment processes and tools as we scale.We’re a fast-moving growth company, so from time to time, other responsibilities will pop up and you’ll be part of making it all happen! WHO ARE WE LOOKING FOR - 5+ years in talent acquisition, ideally in high-growth or global tech environments and multiple disciplines (even better if you have extensive experience recruiting hardware, software or wider technical roles!) - Proven experience building and scaling high-performing teams across multiple regions. - Strategic business partner who can zoom in and out: from exec-level reporting to day-to-day hiring excellence. - Strong interpersonal and stakeholder management skills, a true business partner to hiring teams. - Demonstrated success working in a fast-paced, high-volume hiring environment without compromising on the quality of talent we bring through the door. - You’ll have a deep knowledge of sourcing techniques and channels, and know what it takes to seek out the best talent globally. - Strong reporting and data skills; you’re able to track, analyse, and present key hiring metrics where needed. - Familiarity with employment laws, immigration requirements, and compliance across New Zealand and ideally Australia too. - High emotional intelligence with excellent communication skills; a proactive, solutions-focused self-starter who thrives in ambiguity and takes strong ownership and accountability.   OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.   JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco, CA or Remote, US ABOUT THE ROLE Descript is at an inflection point. We have 50M+ users, genuine product-market fit, and a real opportunity to move upmarket—converting high-fit self-serve users into consolidated enterprise contracts and going after the accounts that belong in our pipeline. As Head of Enterprise Marketing, you'll own that motion end-to-end. This is a builder role for someone who's done it before: someone who can meticulously understand what's driving inbound interest, identify which accounts to go after and why, and design the campaigns, lifecycle plays, and conversion experiments to bring them in. You'll co-own upmarket pipeline with Sales, partner with Product on the self-serve-to-enterprise conversion motion, and partner with our in-house Growth/Paid team and RevOps to make sure the whole system is instrumented and accountable. The raw materials are here—a passionate user community, a strong product, and a large market. This hire shapes what we do with them upmarket. WHAT YOU'LL DO Pipeline Strategy & Execution Co-own upmarket pipeline targets with Sales, with shared accountability for sourced and influenced pipeline Build and execute an enterprise demand playbook: ICP definition, target account selection, channel mix, offer strategy, and campaign design and execution Develop a vertical prioritization framework: define which industries and enterprise segments to pursue, in what order, and with what message Design account-based programs with messaging and experiences calibrated to high-fit accounts Own and maintain an annual marketing calendar that aligns campaign activity to business milestones, seasonal growth opportunities, and pipeline targets Source and manage contract and agency resources as needed Self-Serve to Enterprise Conversion Partner with Product and Sales to identify high-fit self-serve buyers and design conversion experiments that move them toward consolidated contracts Build lifecycle plays that nurture individual users into team and enterprise buyers Develop and iterate on the plays, offers, and sequences that convert product-qualified accounts into pipeline Performance & Measurement Meticulously track which channels, plays, and offers are driving inbound interest and conversions, and use that intelligence to sharpen programs continuously Build AI-first marketing ops and measurement frameworks that give the team real visibility into what's working Report regularly on pipeline contribution, channel efficiency, and program performance Sales & Cross-functional Partnership Partner daily with Sales on account priorities, ABM strategy, and pipeline reviews Brief and align with the in-house paid advertising team on enterprise-targeted campaigns Co-own enterprise lifecycle with RevOps, ensuring accountability is clear and programs are coordinated Own the strategy for high-touch deal acceleration programs—things like executive roundtables and leadership-level events—partnering with Field Marketing on execution Contribute to enterprise pricing and packaging strategy alongside Product and Sales, with an eye toward what moves deals forward and expands accounts WHAT YOU BRING Minimum Qualifications 8+ years of B2B marketing experience, with at least 3 years building or scaling an upmarket or enterprise demand motion Experience at a PLG or product-led company—you understand the self-serve-to-enterprise conversion motion and have driven it Consumer-to-B2B crossover experience; you know how to market to users who are also buyers Strong analytical skills and a track record of building measurement frameworks that actually get used Experience co-owning pipeline targets with Sales in an accountable, collaborative way Preferred Qualifications Deep familiarity with modern ABM tooling and CRM/MAP integration Experience building, or deeply partnering with, AI-native marketing ops and workflows Background in SaaS, media tech, or creative tooling Demonstrated ability to design and run conversion experiments across PLG funnels SUCCESS IN THIS ROLE Within your first 12 months, you will: Launch Descript's enterprise demand motion, with a defined ICP, target account list, vertical prioritization framework, and multi-channel playbook Co-own and hit upmarket pipeline targets in partnership with Sales Build upon the existing self-serve-to-enterprise conversion experiments with Product, with measurable account progression Build a measurement framework that gives the team clear visibility into channel performance, conversion rates, and pipeline attributionCreate and maintain a formal marketing calendar that the broader team runs off of Establish a functioning enterprise lifecycle program with RevOps Run at least one high-touch deal acceleration program (EBC, roundtable, or CxO event) in partnership with Field Marketing The base salary range for this role is $180k - $230k/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is seeking a results-oriented Business Development Representative. The ideal candidate will be a self-starter with a proven track record of success in qualifying leads for commercial and enterprise-level accounts in the tech industry. _______________________________________________________________________ RESPONSIBILITIES - Use prospecting strategies to reach out to existing users of Docker that demonstrate a propensity to acquire commercial licenses - Identify the needs and challenges of the prospective customer - Determine the prospect's interest in Docker - Schedule discovery meetings for sales representatives and prospects - Achieve a target number of qualified prospects and new opportunities - Respond to and qualify incoming inquiries regarding interest in Docker products - Craft a great first impression to our prospects and customers by adding value during every customer touchpoint - Partner with cross-functional teams to share customer feedback - Engage in team development and mentoring _______________________________________________________________________ QUALIFICATIONS - 1+ years of work experience in an outbound-focused Sales role - A demonstrated track record of success - Proactive and driven - Excellent phone, writing, and listening skills - A propensity and willingness to gain a strong understanding of the industry and basic use cases/value propositions that our product offers - High integrity and a team-first mentality - Detail-oriented and strong work ethic - 4-year college degree or equivalent experience preferred _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program - You will learn how to navigate through award-winning sales tools such as; Salesforce, ZoomInfo, Common Room, Outreach, Sales Navigator, and Docker - You will begin core SDR functions; prospecting, lead qualification, appointment setting go, warm handoffs, Salesforce hygiene, and pipeline management. - You will work closely with your manager, shadow your peers, and partner with your Account Executive to develop prospecting strategies and campaigns unique to your territory - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role FIRST 60 DAYS - During your second month, you will be laser-focused on company research and identify target accounts and prospecting strategies in your territory - Build prospecting lists for target accounts and key decision-makers and then reach out to them using all communication channels (cold calls, email, chat, and social media) - You will comprehend and maintain in-depth knowledge of Docker’s products and have a great pitch - Adhere to team KPI metrics and prospecting standards - You will have an advanced understanding of tools, activities, and best practices to be successful in the BDR role FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself in your day job fully - You will continue efforts to improve messaging, processes, and daily activities - You will be an accomplished lead qualifier and an expert with tools and processes - You will be ready to operate independently at full speed Visa sponsorship: Not available for this role. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $59.5K – $85K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a Data Labeling Lead to build our annotation team from zero – setting quality standards, designing evaluation frameworks, and running the labeling operations behind our safety evals, RLHF, and benchmarks. You'll own quality, throughput, and cost while working side by side with our AI researchers. ABOUT US White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life-changing, but at a point where demand has been proven. IN THIS ROLE, YOU WILL - Build from scratch and lead the Data Labeling team (hiring, coaching, and performance management) - Define annotation guidelines, quality standards, and evaluation frameworks - Develop quality assurance processes, calibration sessions, and auditing systems - Partner with AI researchers and engineers to translate research objectives into labeling workflows - Prioritise labeling projects based on business and research needs - Monitor operational metrics including quality, consistency, throughput, and cost - Improve annotation tooling, automation, and workflow efficiency - Lead complex AI evaluation projects, including safety, preference ranking, RLHF, policy evaluation, and benchmark creation - Analyse disagreement patterns and edge cases to improve guidelines and model performance - Manage vendor relationships and ensure consistent quality across distributed teams - Build reporting dashboards and communicate operational insights to leadership - Foster a culture of continuous improvement, accountability, and operational excellence WE'RE LOOKING FOR SOMEONE WHO - Has experience leading data annotation or AI evaluation teams - Has strong operational and people management skills - Understands AI model evaluation, LLM behaviour, and modern annotation workflows - Can design scalable processes without sacrificing quality - Communicates clearly across technical and non-technical teams - Thrives in fast-moving startup environments YOU MIGHT BE A GREAT FIT IF YOU - Have managed annotation programs for LLMs, generative AI, or machine learning - Have experience with RLHF, preference data collection, safety evaluations, or benchmark creation - Have worked in Trust & Safety, AI Safety, Content Moderation, or ML Ops - Have managed distributed or global annotation teams - Have experience with vendor management and outsourcing operations BONUS POINTS - Familiarity with prompt engineering and AI safety policies - SQL, Python, or data analysis experience - Experience building internal annotation platforms or workflow automation - Background in linguistics, cognitive science, machine learning, or data operations Important note This role involves overseeing projects that may include offensive, harmful, violent, sexual, or otherwise disturbing content. You'll be responsible for ensuring reviewers have the tools, guidance, and support necessary to perform this work safely and consistently. COMPENSATION & BENEFITS - Competitive compensation, including equity - Flexible time off - A spacious office in the heart of Paris’s 2nd arrondissement, with a flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Language lessons to help you improve your English or French - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call (25 min) 2. Take-home test assignment 3. Final conversation with CEO (45 min) Please submit your application in English.

Location: Merlimau, Melaka, Malaysia Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role Bradken is seeking a Metallurgist to support metallurgy, quality and process control at our Merlimau manufacturing facility. This is role is suited to someone who has developed a solid foundation in foundry operations and is ready to take greater ownership of day-to-day technical decisions. Reporting to the Technical Lead, you will work closely with production and technical teams across melting, heat treatment, inspection and product quality. It offers the opportunity to deepen your foundry expertise while contributing directly to product quality, manufacturing performance and continuous improvement. What You Will Do Monitor and provide technical support for melting, heat treatment and other metallurgical processes. Review inspection and test results to determine whether products meet customer and specification requirements. Prepare material test certificates, inspection records and technical documentation. Investigate non-conformances and product failures, identify likely causes and recommend practical corrective actions. Work with production teams to resolve quality issues without compromising safety or technical standards. Support material selection, process changes and improvements to existing products. Help improve manufacturing cost and performance through better metallurgical control and problem-solving. Maintain quality procedures, process controls and relevant Quality Management System requirements. Ensure testing and inspection equipment remains calibrated and fit for use. Communicate quality findings clearly to production, technical and sales stakeholders. Participate in Gemba, 5S, safety activities and continuous improvement initiatives across the site. What You Will Bring A degree in Metallurgy, Materials Science is essential At least three years of relevant experience in a foundry, metals manufacturing or similar environment. Working knowledge of melting, heat treatment, metallurgy and material properties. Experience supporting process control, product inspection, quality investigations or non-conformance analysis. Ability to interpret technical requirements and prepare clear reports, procedures and test documentation. A structured approach to problem-solving and the confidence to make sound technical recommendations. Good communication skills and the ability to work effectively with production teams in a hands-on plant environment. Exposure to Lean Manufacturing, Kaizen, Six Sigma or similar improvement methods would be useful.  Current legal right to work in Malaysia. Based in Merlimau or within practical commuting distance, with the ability to attend the Merlimau site daily. What Will Help You Succeed You will be practical, analytical and comfortable working in a hands-on manufacturing environment. You can build effective relationships with production and technical teams, investigate issues thoroughly and communicate clear recommendations. You take ownership of your work, use sound judgement and remain focused on improving quality, process performance and customer outcomes. Why join us? Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages EAP for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.