Вакансии в офисе

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. About the Role You own the path from signed contract to first live transaction. A merchant signs. Then someone has to read their stack, answer their API questions, debug their callbacks at 3pm on a Tuesday, fix what’s broken on our side, and keep the whole thing moving until money is flowing and the approval rate looks right. That someone is you. This is a hands-on engineering role, not a coordination role. You will read logs, reproduce issues in sandbox, write the corrected request for the merchant’s developer, and ship fixes in our own services when the root cause is ours. Project management is a means here, not the job. We are growing the Implementation team in the region, so you will also help define how this works: the tooling, the reusable answers, the escalation paths, and the documentation that stops the same question from being asked twice. How Success Is Measured One metric, three dimensions: integrations moved from signed to live transacting. How many — volume of merchants you take live. How fast — time from signature to first live transaction. How well — approval rate on the traffic those integrations bring. An integration that goes live and then underperforms is not a finished integration. Where You Sit You report to the Implementation Managers Lead, who reports to the Head of PayCore. Day to day you work alongside Account Managers, who own the commercial relationship, and the engineering teams that own our services, whom you escalate to — and ship with — when the fix is on our side. What You Will Do Driving integrations to live (≈50%) Take signed merchants through integration end to end: scope the setup, answer API and configuration questions precisely and in writing, unblock their developers, and stay on it until transactions are flowing. Investigate problems end to end: read logs, trace requests across services, reproduce in sandbox, and name whether the root cause is our platform, the configuration, or the merchant’s implementation. Diagnose and explain integration failures: failed callbacks, unexpected response codes, signature and authentication problems, transaction states that don’t match expectations. Be the technical point of contact for Account Managers, and turn recurring questions into documentation, examples, and internal runbooks. Hands-on engineering (≈40%) Fix the merchant’s code with them: review the integration, point at the actual problem, write the corrected request or snippet that makes it work. Fix bugs in our own services when the root cause is ours, working with the owning engineering team through to release. Build small features and customisations needed for specific merchant setups — from the change itself through testing and rollout. Write and maintain the tooling that makes all of the above faster: sample clients, diagnostic scripts, internal utilities. Pre-sales support (≈5–10%) Occasionally support the commercial team during a deal: answer a technical or security questionnaire, confirm whether a use case is supported, sanity-check a proposed integration approach. Who We Are Looking For Two profiles work equally well here, and we are open on seniority: A developer early in their career who would rather solve real customer problems than sit behind a backlog — and who is comfortable being the one talking to the merchant. An experienced integration engineer who already owns customer-facing technical problems and writes code to solve them, not just tickets about them. Required Skills and Qualifications Coding: You write Java/Python/C++ comfortably and can work inside an existing codebase — read it, change it, test it, ship it. Working with AI: You already work with an AI coding harness (Claude Code, Codex or similar) and reach for it daily — to get through a stack you have not seen before, to draft a fix, to move faster. This is not a bonus point here. It is how the team works, and we expect you to arrive already working this way. Reading other people’s code: Merchants integrate in whatever they use. You can follow unfamiliar code well enough to find the bug in it. Python, Node or other languages are a plus. Debugging: Proven ability to diagnose problems in running systems — reading logs, following a request across services, forming a hypothesis and proving it. This is the core skill of the role. APIs and integrations: Practical understanding of REST APIs, authentication and signing, webhooks and callbacks, idempotency, and common integration failure modes. SQL: You write your own queries to investigate production data. Architecture: Solid grasp of client-server architecture, SaaS platforms and cloud conventions. AWS is a plus. Tools: Postman, a DB client, an OpenAPI tool, Git. English, written and spoken: You can explain a technical cause clearly to a non-technical colleague — in writing and on a call — without making them feel stupid. Most of this role happens in text, and the rest happens live with merchants and colleagues. Nice to Have Experience in payments, fintech, or another regulated domain. Background in technical support, integration engineering, or professional services at a product company. Experience improving how support works: tooling, templates, self-service documentation. Practicalities On-site in Belgrade, standard business hours on Belgrade time (roughly 9:00–17:00). No on-call. Merchants across Europe and Africa. English is the only working language — with merchants, with Account Managers, internally. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. ABOUT THE POSITION We are looking for a QA Engineer to ensure the high quality of endgame features through early defect detection. You will join a cross-functional team of 25+ professionals focused on developing gameplay and monetization for mid- and high-level players. WHAT YOU WILL BE DOING - Drive end-to-end QA support for endgame features - from requirement analysis to final release - Take part in planning: evaluate testability, identify risks, and estimate effort - Assess test coverage and ensure critical test cases remain relevant and up to date - Review testing documentation and help improve its structure and quality - Contribute to both minor and major release cycles: conduct full testing, smoke tests, regression, final acceptance, and post-release monitoring - Share knowledge across the QA team REQUIRED QUALIFICATIONS - Experience in game testing - 5+ years of experience in testing web and mobile applications - Strong knowledge of testing methods and techniques - Good understanding of client–server architecture and practical experience in testing such systems - Proficiency in working with requirements and documentation - Hands-on experience with bug-tracking systems - Familiarity with test management tools - Experience analyzing and working with system logs THE FOLLOWING WOULD BE TO YOUR ADVANTAGE - Good understanding of core game mechanics and game design principles - Experience collaborating with customer support to investigate and reproduce edge-case issues - High level of gaming knowledge and/or skill WHAT WE OFFER - A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 MMO 4X strategy game. - An excellent remuneration package, including a 13th salary. - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation. - A sports and fitness allowance. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Bonuses for outstanding results, years of service, marriage, and childbirth. - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.

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: 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're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies. WHAT YOU'LL DO - Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. - Construct challenging and diverse suites of manipulation tasks in simulation. - Partner with teleoperations to collect trajectories in simulation for behavior cloning. - Partner with testing and operations to establish real-world RL training pipelines. - Experiment with various ways of bringing policies trained in simulation to the real world. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience solving real problems using reinforcement learning with deep neural networks in any domain. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) - Experience in RL for robotics. - Experience building infrastructure for large-scale RL (e.g. using ray). - Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. 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're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. 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: Singapore Workplace: OnSite BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS MANEUVER MARKETING Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products. In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs. These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore. This is just the beginning of our journey, and you could be part of the next stage of our growth! THE ROLE We’re hiring a Quality & Regulatory Affairs Specialist to be the technical backbone of our Product function, mainly Product Operations. Reporting to the Head of Product, you’ll own production quality oversight, troubleshooting, product testing and stability, and claims evidence, with US ingredient and regulatory requirements as a required supporting skillset. This is a hands-on, individual-contributor role for someone comfortable being the only technical voice in a commercially-led team and managing quality through contract manufacturers rather than an owned plant. Based in Singapore, you’ll manage US and Australia-based CMO partners mostly remotely (occasional travel and some night calls given US time zones) and hold finished-goods release sign-off. Ultimately, you’ll help us ship products that enrich customers’ lives, made safely, within each market’s laws, on time, and with a mindset that supports the whole team. WHAT YOU’LL DO OWN QUALITY OVERSIGHT AND PRODUCTION TROUBLESHOOTING - Diagnose and resolve production quality problems with our CMO partners, and set production/quality standards before a new product goes into manufacturing - Review production QC, consolidate batch records, close out CAPA, and hold finished-goods release sign-off - Own adverse event reporting (AER); audit CMO facilities when needed VERIFY PRODUCTS AND RUN STABILITY TESTING - Interpret identity, potency, and probiotic viability results to confirm each product matches its label and holds to end of shelf life - Manage the accelerated and real-time stability program end to end, from protocol review to launch sign-off GENERATE CLAIMS EVIDENCE - Scope and manage benefit/proof studies on existing products (literature, clinical studies, CRO/IRB) to strengthen what we can say about them CARRY US INGREDIENT AND REGULATORY REQUIREMENTS - Determine NDI/GRAS/ODI status and confirm permitted ingredients, dosage limits, and market requirements - Maintain ingredient dossiers and scientific substantiation SUPPORT THE WIDER TEAM - Give technical input on ingredient sourcing, formulation feasibility, and interaction/exposure checks; technically qualify new CMOs, suppliers, and labs - Partner with supply chain on batch-release readiness, give marketing substantiated claims language, and give customer service credible technical answers WHAT WE’RE LOOKING FOR - A scientific/technical background (food science, chemistry, nutrition, pharma/biotech, or related) - Experience setting production quality standards and managing quality through CMO/CDMO partners — batch records, CAPA, release — rather than an owned site (direct facility auditing a plus) - Able to interpret stability and ingredient testing data (probiotic or botanical a plus), COAs, and QC results critically — you won’t design assays, but you must know what the data means - Hands-on US ingredient/regulatory experience in a regulated consumer category — NDI/GRAS, permitted ingredients, FDA-adjacent compliance (claim wording handled by our consultant) - Experience scoping or managing benefit/claims studies with third-party labs or CROs - Comfortable as the sole technical voice — independent, process-literate in a stage-gate system, and communicating clearly with commercial leaders - Sound, D2C-agile judgement between quality and commercial reality; comfortable with occasional night calls to coincide with US partners WHAT SUCCESS LOOKS LIKE - CMO standards set up front; batch records pass review with no repeat findings - Stability and testing data ready ahead of every finished-goods release - Claims and labels clear regulatory review with no compliance-driven launch delays - Existing products gain stronger claims evidence over time - Product Innovation and Product Operations have a trusted technical partner in every major decision

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: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Prospecting and Lead Generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our Commercial customers and prospects to drive revenue, pipeline, and deployment capacity. - Manage Relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our customers. Serve as the primary point of contact for commercial clients, ensuring high levels of customer satisfaction. - Negotiating and Closing Complex Deal Cycles: Lead negotiations with existing customers and prospective clients, addressing objections and closing deals. Ensure all contracts and agreements are completed accurately and in a timely manner. Work closely with legal and finance teams to finalize terms and conditions. - Sales Strategy and Planning: Develop and execute sales strategies to meet or exceed sales targets. Create tailored sales presentations and proposals to address the specific needs of enterprise clients. Collaborate with the marketing team to develop and implement effective sales campaigns and presentations. - Help Define our Sales Motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds! - Collaborate Cross-Functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. - Market Analysis: Conduct market research to identify new business opportunities. WHAT YOU'LL BRING - 5-7+ years of experience in a customer-facing sales role, either with Mid-market or SMB accounts. - Strong Communication Skills: Exceptional verbal and written communication abilities. - Analytical Mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Job Responsibilities Lead and coordinate DevOps Engineers across teams and projects; Organize team operations and improve internal processes and delivery efficiency; Lead planning sessions, retrospectives, technical discussions, and 1-on-1 meetings; Manage team priorities, workloads, and technical direction; Oversee CI/CD pipelines, deployments, development environments, and operational tooling; Promote infrastructure automation, standardization, and DevOps best practices; Ensure reliable and high-quality infrastructure support for development teams; Support monitoring, troubleshooting, incident resolution, and reliability improvements; Drive collaboration between software developers and infrastructure engineers; Support hiring, mentoring, accountability, ownership, and continuous improvement within the team. You’ll thrive here if you have 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure; 3+ years of experience leading or managing an engineering team; Strong knowledge of CI/CD pipelines, deployment processes, and release automation; Hands-on experience with cloud platforms, Docker, and Kubernetes; Experience with Infrastructure as Code and automation tools; Strong knowledge of monitoring, troubleshooting, incident response, and system reliability; Proven ability to manage priorities and workloads across multiple projects; Good understanding of infrastructure security, networking, scalability, and operational best practices; Strong collaboration and stakeholder-management skills; Excellent leadership, communication, mentoring, and decision-making abilities. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

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/. ABOUT THE ROLE We're changing the way the world farms — and with that comes a responsibility to the producers worldwide who trust us with their animals. We're looking for an experienced Electronics Engineer to join our Failure Analysis team and debug failed electronics down to root cause, from both the field and lab testing. Halter collars aren't serviced, aren't repairable, and need to last 6–10 years, anywhere across the globe. Our products are complex, highly integrated electromechanical devices packed with ultra-low power circuitry, RF, solar and battery systems, high-voltage pulse circuits, and dense multi-layer PCBs. To make them last, we need to understand every electronic failure mode in the field and know exactly how to eliminate it. WHAT YOU’LL DO - Personally own the highest-impact and most ambiguous electronic failure modes, driving them to a clear, evidence-based root cause. This is a hands-on role; you'll be very close to the electronics. - Debug and diagnose failed electronics at the sub-system and component level: power generation and conversion, ultra-low power circuits, RF and antenna, battery systems, high-voltage pulse circuits, and the MCUs, SoCs, sensors and interfaces around them. - Use the full bench of EE diagnostic tools (oscilloscopes, DMM, network analyzers, signal generators, LCR meters, current clamps, HV meters, thermal imaging, microscopy and X-ray where relevant) to isolate faults. - Understand the relationships between in-field events and electronic failures, connecting field data and returns to physical failure signatures on the hardware. - Develop and improve the processes, tooling and ways of working that increase diagnostic accuracy and reduce no-fault-founds. - Work closely with hardware, firmware, production and supplier quality teams to investigate failures and drive corrective action into the design. - Mentor and guide more junior engineers, expanding their technical knowledge and their approach to failure analysis. - Support recruitment for building out a brilliant team, rooted in strong process discipline, technical capability and a tenacious curiosity to figure things out. This is a deeply technical, hands-on role at the board and component level. You'll diagnose failed collar and tower electronics, isolate faults to the specific component, net, or design decision responsible, and translate that understanding into clear, evidence-based feedback that improves product reliability. You'll be central to closing the loop between field and lab performance and our hardware, firmware, and production teams. This is a huge opportunity for the right person - you'll have a lasting impact on farmers across the globe. WHAT YOU’LL BRING - Solid electronics engineering experience, with hands-on expertise diagnosing field failures and connecting real-world events to product failure modes for complex, highly integrated hardware at the board and component level. - A methodical, first-principled approach to root cause analysis, backed by clear evidence rather than assumption. - Strong grounding in electronic circuit fundamentals across analog, digital, power and RF; ideally including ultra-low power IoT designs, batteries, solar, DC-DC conversion, high-voltage generation and insulation, and interfaces such as I2C and SPI. - Proficiency with EE diagnostic and test equipment, and comfortable reading schematics and PCB layouts to trace faults. - Excellent communication skills and the ability to translate technical findings into clear, actionable feedback for cross-functional teams. - A natural inclination to share knowledge, educate and mentor. - A strong sense of ownership and a bias for action — you're not afraid to roll up your sleeves and get stuck into wider challenges when required. - Low ego, highly collaborative, and willing to play for the Front of the Jersey. - A BE degree in Electrical/Electronic Engineering or a similar relevant qualification. 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!"

Обязанности: — Создание надёжных решений для кибербезопасности на базе Big Data — Участие в полном цикле разработки: анализ требований, разработка технической архитектуры, разработка решения, тестирование и развертывание Требования: — Опыт разработки на Python — Желание использовать Java или JavaScript в работе — Умение разбираться в чужом коде — Практика использования TDD — Практический опыт работы с Kafka или ElasticSearch — Опыт в проектировании архитектуры Big Data будет преимуществом

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We're small on purpose and engineering heavy: about 80% of the team is technical. We're based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We're fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As our Brand Marketing Designer ( Member of Technical Staff ) you'll work across Brand & Creative, you bring Arca's brand to life and extend it across every surface we show up on. We're not a SaaS company dressing up a dashboard; we are the wealth management firm, so the work you make — the social, the ads, the collateral, the imagery — is the business itself, the first thing a prospective client sees long before they ever talk to an advisor, in an industry that mostly looks like beige PDFs and stock photos of handshakes. You'll work directly with the team, setting top-level creative direction. Your job is to take that direction and make it real: the assets, the motion, and the imagery that keep the brand sharp and alive as we grow. This is a hands-on maker's role, not a purely strategic one — and it's technical enough that you're comfortable building and shipping what you design, running our marketing site in Framer or WordPress rather than handing it off. You'll partner closely with Design & Growth ( and product, and engineering ) to build across everything Arca puts into the world. WHAT YOU'LL OWN - Brand assets across every surface. Social, ads, collateral, decks, email, event and office materials — the steady stream of on-brand work that keeps Arca looking sharp everywhere it shows up. - Motion and imagery. Short-form motion, animation, and original imagery that make static surfaces move and give the brand a visual signature people remember. - The website, hands-on. You help build and maintain our marketing site turning designs into live pages yourself instead of waiting on engineering. - Production at the speed of AI. You use modern AI creative tools to generate, iterate, and ship more and better work than was possible a year ago — extending the brand faster as we grow. - Craft, in practice. Working from the creative direction set above you, you keep every asset coherent and high-quality, and you help build the templates and systems that let that quality scale. THE KIND OF PERSON WHO THRIVES HERE You're excited by ownership, ambiguity, and building things that matter. - You're a maker with real craft. You've spent years doing hands-on graphic and visual design ( brand, social, ads, collateral ) and your portfolio shows work that's both beautiful and clear. You love producing the work, not just directing it. - You're fluent in the creative toolkit. Adobe Creative Suite, Figma, and Canva are second nature, and you have genuine motion and animation chops. - You're AI-native in your craft. You already build with AI creative tools ( Higgsfield, Midjourney, Flora, or similar ) and reach for them on instinct to produce imagery, motion, and ideas faster than you could by hand. - You're technical enough to ship. You can run and update a marketing site in Framer or WordPress, and you'd rather build the page than file a ticket for it. - You design for trust, not just attention. This is people's real money and their plans for their family, a high-consideration decision that takes time to earn. You know the difference between design that's flashy and design that earns confidence, and you reach for the second. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment ( not just tolerant of it ). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. KEY RESPONSIBILITIES - Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. - Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation. - Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. - Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. - Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences. ABOUT YOU - 3+ years of experience developing machine learning models to solve business problems. - Strong understanding of supervised ML algorithms, tuning, and performance evaluation. - Experience with a range of feature engineering techniques (e.g. target encoding). - Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. - Experience in writing clean, production-grade Python code for both model training and inference. - Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. NICE TO HAVE - Experience with advanced data transformation techniques (e.g., lambda functions). - Familiarity with, or hands-on experience in, recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance. - Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Must be based in or relocate to Singapore. Company: Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 companies worldwide with integrated financial solutions. What you will do: — Own the multi-year vision and roadmap for global support, including service tiers, coverage, and follow-the-sun operations. — Architect and manage a 24/7 operating model with regional hubs, escalation paths, and robust governance. — Define global SLAs (FRT, resolution time) and manage the end-to-end analytics engine for CSAT and NPS. — Lead digital transformation by optimizing the support tech stack and driving AI-driven deflection initiatives. — Act as the primary bridge between Support and Product/Engineering to improve supportability and lead crisis management. — Build a high-performing global team and oversee the vendor/BPO strategy, performance, and commercials. Requirements: — 10+ years in Customer Support/CX, with 5+ years leading multi-region global teams at scale. — Proven track record of improving key outcomes (CSAT, resolution time, cost-to-serve) in high-growth environments. — Expertise in capacity planning, workforce management, and building scalable operational processes. — Strong analytical skills with proficiency in Excel, BI tools (Looker, Tableau), and ideally SQL. — Hands-on experience applying AI and automation (LLMs, automated triage, chatbots) in support workflows. — Must be based in or relocate to Singapore. Nice to have: — Experience in B2B SaaS, fintech, or complex regulated payment environments. — Proficiency with global support platforms like Zendesk and knowledge systems like Confluence. — Success in BPO vendor relationship management, including commercial optimization and compliance. Culture & Benefits: — Environment for successful builders with founder-like energy and a focus on true ownership. — Collaborative culture that values humility and a "get stuff done" mentality. — Opportunity to solve complex, high-visibility problems within a high-growth, well-funded global company. — Commitment to diversity, equity, and equal opportunity employment.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. How you’ll make an impact - Deliver expertise and guidance to our key merchants by crafting optimal payments strategy. - Conduct deep-dive exploratory data analysis to uncover insights and anomalies - Conduct experiments and A/B tests to improve performance, including ML based solutions. - Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance. - Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI. - Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development - Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided - Drive a culture of cross-team learning and knowledge sharing   What we’re looking for - 3+ years in an analytical role either at a Fintech or Consultancy, using analysis to make business recommendations - A huge advantage if you have previous experience working as Payment Analyst/Expert - Data driven approach, by clearly defining success metrics and measuring progress against them - SQL / Python knowledge to extract & analyse large data from our Data Warehouse - Good knowledge of today’s major e-commerce and payments technologies and trends - Customer driven and able to establish robust relationship with assigned customer base Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Ми шукаємо нового гравця до підрозділу System на позицію С++ Embedded Engineer, Video team Команда розробляє вбудоване C++ програмне забезпечення для пристроїв Video Edge - NVR і камери. Залучення до продукту відбувається на всіх рівнях стеку: від vendor SDK і мультимедіа-пайплайну до мережевих протоколів і системного UI на пристрої. З поточних задач: інтеграція AI-аналітики, що пов’язана з детекцією об’єктів і трекінгом, розвиток хмарного архіву та потокового відео, підтримка нових платформ. Необхідні знання та навички: Досвід C++ 4 + роки (C++11/C++14) Досвід роботи з boost, зокрема boost.asio Розуміння принципів роботи процесів, потоків та асинхронної обробки Вміти писати модульні/інтеграційні тести (культура застосування TDD буде плюсом) Вільне володіння git, cmake, gdb Практичний досвід проектування та розробки великих систем Буде плюсом: Досвід роботи з embedded системами та системами з обмеженими обчислювальними ресурсами Знання linux/posix-сумісних систем, знання bash, розуміння принципів роботи ядра linux Досвід роботи з потоковим відео Розуміння протоколу та стеку RTP/RTCP Вільне орієнтування в опенсорсних бібліотеках, від ffmpeg до OpenCV Практичний досвід використання та інтеграції з відповідними технологіями з відкритим вихідним кодом   Задача команди: Підтримка технічної культури з тестами та CD Спільно з командою, продовжувати роботу над новим продуктом із використанням відеокамер для завдань безпеки у поєднанні з традиційними охоронними датчиками Розвивати інженерні практики та підвищувати якість коду Брати участь в обговоренні нової функціональності продукту та відповідати за розвиток продукту як частини системи Пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; місце у стрімко зростаючій компанії з вмотивованою професійною командою; конкурентну заробітну плату; медичне страхування; корпоративні заняття з англійської мови; можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; знижки від компаній-партнерів; знижки на продукти компанії.

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.