Вакансии

Location: South Africa; Philippines; North Macedonia; Morocco; Serbia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a dynamic recruitment and talent solutions platform dedicated to bridging the gap between high-growth startups and top-tier professional talent. By leveraging innovative sourcing strategies and deep industry insights, the team helps organizations across various sectors scale their operations with precision. They specialize in identifying specialized skill sets for modern businesses, ensuring that both candidates and employers find the perfect alignment for long-term success. As a fast-growing player in the human capital and HR technology space, the company operates with a remote-first mindset that prioritizes efficiency and impactful connections. The team is driven by a mission to modernize the hiring experience through data-informed decision-making and a highly collaborative internal culture. For professionals looking to make a significant impact within a scalable, forward-thinking environment, this organization offers an exciting opportunity to shape the future of talent acquisition and workforce development. Job Summary We are seeking a high-energy, hands-on Business Development Manager to lead a team of four specialists while maintaining an active presence on the front lines of sales. This is not a "sideline" management role; it is a position for a true sales leader who thrives on coaching, analyzing data, and closing deals. You will be responsible for driving accountability, optimizing outbound campaigns, and ensuring the team consistently hits aggressive revenue goals within the staffing and recruiting industry. If you are an expert at turning raw data from tools like Apollo and Aircall into actionable sales strategies, we want to hear from you. Key Responsibilities Team Leadership & Performance: Manage, coach, and mentor a team of four Business Development Specialists, conducting weekly 1-on-1s and sales meetings to drive KPI accountability. Sales Strategy & Optimization: Analyze outbound campaign performance (reply rates, meetings booked, and conversions) to refine messaging, target personas, and outreach sequences. Data-Driven Coaching: Utilize Apollo, Aircall, and CRM analytics to diagnose underperformance, review call recordings, and lead role-play sessions to improve the team's objection handling and discovery techniques. Personal Production: Lead by example by maintaining a personal pipeline and closing a minimum of one new deal per month. Pipeline Management: Monitor CRM discipline to ensure all prospects, opportunities, and agreements are accurately tracked and forecasted. Discovery & Closing Support: Join team discovery calls to assist in uncovering pain points, identifying decision-makers, and advancing prospects toward signed agreements. Requirements Minimum of 5 years of experience managing or supervising a Business Development or Sales team. Proven experience in the BPO, RPO, or Direct Staffing industry is mandatory. Expert-level proficiency in outbound prospecting, including cold calling, email sequencing, and LinkedIn Sales Navigator. Strong analytical skills with the ability to diagnose why a campaign or representative is underperforming using specific data metrics. Mastery of the full sales cycle: prospecting, discovery, objection handling, and closing. Ability to create and implement performance recovery strategies when KPIs are not met. Excellent written and verbal communication skills with a focus on value-based selling. Advanced experience with Apollo, Aircall, and LinkedIn Sales Navigator. Familiarity with multi-channel sales sequencing tools and advanced CRM reporting. Experience developing custom sales training modules and rebuttals for the staffing industry. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

About us: Proxify connects top developers worldwide with opportunities. Since launch, Proxify developers have worked with 1200+ clients and 5000+ developers trust the network. Proxify supports remote full-time jobs with high ratings on Glassdoor and Trustpilot. The Role: Seeking a Senior QA Automation Engineer to be the primary architect of quality assurance strategy for a high-growth client team. Responsibilities include building scalable automation frameworks, defining test strategies, selecting tools, and integrating automated suites into CI/CD pipelines. The role is for a "Developer in Test" focused on building safety nets for confident code shipping. What we are looking for: — 5+ years in test automation with expertise in Playwright, Cypress, or Selenium — Ability to write clean, maintainable test code in TypeScript/JavaScript, Python, or Java — Experience building and scaling automation frameworks (Page Object Model, Screenplay Pattern) — Extensive experience testing RESTful and GraphQL APIs using Postman, SuperTest, or RestAssured — Hands-on integration of automated tests into pipelines using GitHub Actions, GitLab CI, or Jenkins — Mobile automation experience with Appium or Maestro is a significant advantage — Familiarity with performance testing tools like k6 or JMeter Nice-to-Have: — Knowledge of Docker for containerized testing — Experience with Visual Regression testing tools (Percy, Applitools) — Familiarity with Cloud Testing platforms (BrowserStack, Sauce Labs, AWS Device Farm) — Background in Security Testing (OWASP principles) Responsibilities: — Define automation roadmap and select tools matching client stack — Write, maintain, and optimize complex end-to-end integration and regression test suites — Collaborate with Developers and Product Managers to define "Definition of Done" and ensure testability — Identify, document, and track software defects, working closely with dev team — Act as "Quality Evangelist" by conducting code reviews for test scripts and sharing best practices What we offer: — On-time monthly payments with flexible withdrawal options — Predictable project hours with consistent 8-hour working days — Up to 24 flex days off per year without losing pay for full-time positions — Career-accelerating positions at cutting-edge companies — Hand-picked opportunities with no typical recruitment roadblocks — One-time contracting process for multiple opportunities — Consistent monthly compensation

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €155.000 — €205.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk. The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus! What you’ll do Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants Investigate and use new sources of third party data to assess merchant financial risk Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation What we look for 3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting Experience working with cross functional partners across the organization, especially Sales and Business Development teams Experience reviewing financial documents, business credit reports and payment processor statements Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution Compensation & Benefits Base Pay Grade - G Equity Grade - 3 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £66,000 - £76,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Banco Plata is a digital bank and fintech startup specializing in consumer lending, credit cards with a cashback program, and interest-free installment plans. Remote work or relocation options available to Cyprus, Serbia, Spain, Georgia, or Mexico.

Location: Remote in Germany Workplace: Remote At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like PUMA, Carhartt WIP, Anthropic, Just Eat Takeaway, Spotify, HiPP, and Mercedes AMG are using Sanity to power and automate their content operations.   As an Enterprise Account Executive at Sanity, you'll own the full sales cycle, from identifying the right prospects to closing deals with some of Europe's most ambitious companies. You'll work closely with SEs, SDRs, and marketing to build genuine relationships with enterprise customers and help them understand the real business value of structured content. It's a role with real autonomy, clear progression, and strong earning potential at a company that just raised $85M and is scaling fast.   WHAT YOU WOULD DO - Take warm opportunities from our SDR and Marketing teams and run with them, your job is to close, not to chase cold leads all day - Get under the skin of every prospect: understand their real business challenges and show them exactly how Sanity solves them - Pitch, negotiate, and close enterprise deals and get well rewarded when you do - Map organisations from the inside out, building relationships across teams from developers to the C-suite - Work through procurement and contracts without losing your mind (we'll help) - Be the voice of the customer internally - your feedback shapes product, messaging, and strategy - Keep your pipeline tight: accurate forecasting, clean Salesforce data, and deal reviews that actually reflect reality ABOUT YOU - You're based in Germany and fluent in both German and English - You can close a deal in either language without breaking a sweat - You've sold a complex SaaS product before and you know how to navigate technical buyers, marketing leaders, and enterprise procurement all at once - You have experience selling into large enterprises and are comfortable managing big, multi-stakeholder deals from first call to signed contract - You're genuinely curious, about technology, about your customers' businesses, and about finding smarter ways to sell - You pick up new products quickly and can translate complexity into a compelling story - You're honest, high-integrity, and the kind of person colleagues actually enjoy working with - You thrive when things move fast and you're not waiting around for someone to tell you what to do   WHAT WE CAN OFFER - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive location-based salary and stock options program   WHO WE ARE Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values   Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity. #LI-ED1

Location: London, UK Workplace: Hybrid At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.   In this Enterprise Account Executive role, you'll be one of the first sales hires building Sanity's presence in France. You won't be pitching a CMS. You'll be selling the infrastructure that engineering teams actually want to build on, to French enterprises who've never heard of us yet, and closing deals big enough to prove the market. You'll own the full cycle end to end, working with SDRs, marketing, and product (most of them not in France) while building the local playbook as you go.   What you would do - Qualify opportunities SDRs and marketing hand you, and decide fast which ones are worth chasing in a market you're still mapping. - Run discovery in French that gets past the checklist and surfaces the real business case for switching. - Pitch a product developers already love to the people who sign the check, in their language. - Price and negotiate enterprise deals, including French contract and procurement norms that don't always match the US or UK playbook. - Grow existing French accounts after the ink dries: spot the next use case and go land it. - Map the account and get everyone from the CMS admin to the CTO talking about Sanity, en français. - Get deals through French procurement and legal without losing momentum. - Bring client and market feedback back to the business, since you're often the first signal on what France actually needs. - Keep Salesforce, decks, and deal docs sharp enough that anyone could pick up your deal cold. - Forecast bookings monthly and quarterly, and stand behind the number, even while you're still building the pipeline that feeds it. About you - Fluent in French and English. You'll sell in French and work internally in English. - Curious, coachable, and straight with people, including when the deal's on the line. - You've closed complex, technical SaaS deals in our ACV range, selling to a technical audience, ideally in the French market. - You can hold a room with a developer in the morning and an exec in the afternoon, in their language. - No CMS experience required. You just need to pick up new products fast and explain them faster. - Genuinely energized by building something from the ground up, not just running an existing playbook.   WHAT WE CAN OFFER - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive location-based salary and stock options program   WHO WE ARE Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values   Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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 Senior Group Accountant to join our Finance team in London. Reporting to the Global Financial Controller, you will be responsible for monthly and statutory reporting and group consolidation across our global entities, and will help build the reporting, close and audit processes that carry Humanoid from high-growth startup to public-company standards. This is a hands-on role for a technically strong, audit-trained accountant who wants their work to become the foundation of a global finance function. WHAT YOU’LL DO Reporting, Close and Consolidation - Run the month-end and year-end close to the group close calendar, including journals, accruals, prepayments, fixed assets and payroll postings, and own full balance sheet reconciliations. - Prepare monthly management reporting and support the wider reporting pack for internal and external stakeholders, including leadership, investors, lenders and auditors. - Operate and improve the group consolidation across all entities, including intercompany reconciliation and eliminations, and multi-currency translation. - Prepare group cash flow reporting and supporting schedules, working with FP&A and Treasury as the function grows. Technical Accounting - Own technical accounting assessments and prepare accounting papers and memos on judgemental areas and complex transactions. - Develop accounting policies across revenue, inventory, R&D, leases and share-based payments as the business scales. - Lead the accounting for inventory and manufacturing costs as we move from R&D and prototypes into production, including standard costing, cost of sales and stock provisioning. - Support the transition of group reporting from FRS 102 to IFRS. Statutory Reporting and Audit - Prepare UK statutory financial statements and support local filings across our other jurisdictions alongside external advisors. - Own the external audit process end to end, including PBC lists, auditor relationships and technical position papers. Controls, Systems and Process - Build and document internal controls as the group scales, ensuring we stay compliant and are ready for the reporting standards expected of a public company. - Document processes and controls as you build them, and play a central role in our ERP build-out and finance systems integrations. - Use AI and modern workflow tooling to accelerate the close, automate reconciliation and reporting, and find efficiencies across the function. - Collaborate end to end across the finance team and the wider business, including tax, FP&A, finance operations, supply chain and people teams, picking up work that falls outside the standard remit as an early-stage company. WHAT WE’RE LOOKING FOR - ACA or ACCA qualified (CIMA considered), ideally audit-firm trained, with 4+ years’ relevant post-qualified or equivalent accounting experience across multi-entity, multi-currency groups, ideally including US entities. - Strong technical knowledge of FRS 102 and IFRS, with experience preparing statutory accounts, drafting technical papers and managing external audits end to end. - Hands-on close and consolidation experience, comfortable owning journals, reconciliations, intercompany and eliminations rather than only reviewing them. - Experience with inventory and cost accounting, standard costing or cost centre reporting in a manufacturing, physical goods or high-volume environment. - A builder’s mindset, with experience in a high-growth environment where process, controls and documentation still need to be created. - Comfortable in a modern finance stack, using AI and automation to speed up close and reporting; ERP implementation experience (SAP, NetSuite or similar) is a plus. - Experience in a venture-backed startup or scale-up, ideally hardware, robotics or deep tech, is a plus. 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 to 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 leadership, meaningful input, and the ability to drive key initiatives from day one.

Location: Metro Manila; Bangkok; Kazakhstan Workplace: Hybrid 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll lead the Finance side of the core banking system project — turning accounting needs, regulatory obligations, and product-administration realities into system requirements, and delivering against them. What you'll do: - Lead the core banking system project from the Finance side: own the plan end to end — scope, milestones, dependencies, and risk tracking — and act as Finance's subject-matter voice across vendor selection, design, and rollout. - Run UAT, data-migration validation, and cutover planning from the Finance side, coordinating closely with IT/Engineering and vendors. - Connect the dots across Finance, IT/Engineering, and Compliance — surfacing regulatory gaps tied to system limitations and helping close them, and keeping Finance leadership informed on progress, risk, and dependencies. What you'll own: - Turn accounting needs, regulatory obligations (such as BSP/MORB), and product-administration realities into concrete system requirements, and manage delivery against them. - Build and drive the accounting-backlog remediation plan with real milestones, pulling in Finance colleagues and outside help where it makes sense. - Get month-end and period-end close and reporting, based on the core banking system, integrated directly with the GL — and keep it that way. - Take the Odoo accounting-automation work into properly owned, documented, controlled, and audit-ready process. - Identify and prioritise efficiency gains — automating manual entries, reconciliations, and reporting, using AI where it applies — to cut team effort and errors. - Contribute to IPO-readiness work wherever it touches financial systems and controls. What makes you a strong fit: - 10+ years of experience with a strong track record in finance/accounting project management. - A solid grip on accounting fundamentals and the close process. - Proven automation experience — you've led or driven process-automation initiatives, not just used automated tools — including practical Odoo (or a comparable ERP) experience for accounting automation. - Strong IT literacy: comfortable with system architecture, data flows, and technical requirements — enough to bridge Finance and IT/Engineering without a translator. - Strong project-management discipline: scoping, milestone tracking, risk management, and stakeholder communication across Finance, IT/Engineering, and Compliance. - Ability to turn messy, ambiguous problems into a plan with real milestones. What we offer: OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

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 VP of Sales to join our Business Development team based in London. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots. This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation. WHAT YOU'LL DO - Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients. - Drive the full sales cycle: lead generation → pitching → negotiation → contract closure. - Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development. - Develop and deliver compelling business cases & ROI analyses for potential customers. - Build relationships with key decision-makers and stakeholders in target industries. - Partner with product & engineering to align solutions with customer needs. - Track market trends and competitor activity to refine go-to-market approaches. WHAT WE'RE LOOKING FOR - Bachelor’s or Master’s degree in Business, Engineering, or a related field. - Background in robotics, automation, or advanced manufacturing technologies. - 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing. - Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products. - Strong network in the relevant industries and a track record of securing strategic partnerships. - Exceptional negotiation, communication, and presentation skills. - Expertise in calculating ROI and developing bulletproof business cases. - Strong analytical and problem-solving skills with a results-driven mindset. - P&L management and financial modeling experience. - Ability to thrive in a fast-paced, high-pressure environment. 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: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Why this role exists Higgsfield is one of the fastest-growing generative AI companies in the world. A large share of our revenue already comes from business users, but the product wasn't built for them, and there's no dedicated PM. We need someone to build the B2B and Enterprise product from the ground up, own the full path from a corporate email signup to a signed enterprise contract, and turn what's currently a reactive feature stream into a real business line. What you'll actually do • Own the B2B and Enterprise product surface end-to-end: workspaces, roles, SSO, SCIM, audit logs, admin controls, user and asset management, billing and seat management, brand controls, API access for enterprise. • Own the self-serve team-plan motion too: corporate email signup flow, in-product invites, seat expansion, the path from one paying user to a paying team. • Partner with sales on live deals: security questionnaires, compliance responses, contract-blocking features, pilot design. Sit on customer calls, not just receive summaries. • Untangle the workspace and collaboration model: separate identity from content ownership so users can be invited to collaborate without breaking billing or credit pools. • Build the enterprise data residency, retention, and privacy story alongside legal and security. • Design the metrics that matter: corporate-email signup share, team-plan conversion, seats per account, expansion revenue, enterprise pipeline conversion, deal cycle time, loss reasons by segment. • Work directly with Sales, Legal, Security, Applied ML, Backend, Growth, and Payments. Frequent contact with actual enterprise buyers. Must-haves 1. Founding or early-operator experience. You've spent years trying to build something of your own. You know what it's like to own an outcome when nobody hands you a spec. 2. Shipped a B2B or Enterprise product at scale, ideally from zero or near-zero. You've built the workspace, the admin, the SSO, the billing, and you've sat across from real buyers to know why each one mattered. 3. Comfortable owning both self-serve growth mechanics and top-down enterprise motion. You don't treat product-led and sales-led as different jobs. 4. Strong technical judgment. You can reason about auth models, permission systems, tenancy, and API surfaces without needing an engineer to translate. 5. You measure in revenue, seats, and cycle time, not features shipped. You can defend a scope cut to Sales and a pilot commitment to Engineering in the same afternoon. Who this is not for • You prefer working from complete specifications rather than defining problems yourself. • You want to inherit a mature B2B org. This is zero-to-one. • You are looking for a slower release cycle. We ship weekly, and enterprise deals can compress that to hours. Nice to have • Background at a fast-scaling B2B SaaS, collaboration tool, or developer platform in the US, EU, or Asia. • Direct experience with SSO, SCIM, SOC 2, GDPR, data residency, or enterprise procurement cycles. • Experience turning a strong B2C product into a real B2B business. • Comfort with generative AI, creative tools, or API products. What We Offer - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A seat where the business line you build shows up on the P&L within the quarter. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits. This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month-end. We are hiring a Procurement Operations Business Partner to own that path for our research organizations and the special programs that spawn out of it. This portfolio behaves differently from the rest of the company in that it purchases goods and services from highly-specialized vendors and new programs regularly appear with real purchasing needs before any process exists for them. You will be the person who makes all of that feel simple to the researchers and program leads who depend on it, and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every purchase in the portfolio is coded, dated, received, and accrued correctly, so research spend is right in the books every month. Expect a steady queue of requests, work orders, and change orders, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, document review, vendor coordination, and requester support. Responsibilities Own the purchasing path for R&D Manage a high volume of purchase requests, work orders, and change orders each month across research teams and programs, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for Anthropic's research teams and special programs, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what each request requires before it can move, whether that is a statement of work, an order form, an amendment, a security or privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (fixed fee, milestone, per-unit, or usage in arrears) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage change orders, renewals, and closures over the life of each agreement. Act as the dedicated operations partner for our research services vendor portfolio, where engagements are structured as master agreements with frequent work orders and scope changes, and where speed and documentation discipline both matter. Handle the mechanics that come with hardware, equipment, and lab purchasing, including multi line quotes, lead times, shipping and receiving, and asset handoffs. Financial completeness & accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense vs. prepaid, capitalized equipment vs. operating spend). Work the hard cases with Accounting: services that span periods, partially delivered milestones, per-unit work billed in arrears, credits and true-ups, and work orders amended mid-month. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Stand up new programs Be the first procurement call when a new research program or initiative spins up. Scope what they will buy and how often, agree a right sized path with Legal, Security, and Finance, and have it working before volume arrives. Run a regular pipeline check in with your highest velocity teams so upcoming purchases are visible early and nothing urgent arrives as a surprise. Translate procurement, legal, security, and finance requirements into plain language for researchers and engineers, and carry their operating reality back to those teams so controls fit the work. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid vs. expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience supporting outsourced or managed service vendors at scale, where scope and volume move month to month and the contracts, purchase orders, and invoices have to keep up with each other. Working knowledge of how contract review, security and privacy review, and financial controls fit together in a purchase, and the judgment to know when to push a request through and when to slow it down. Preferred qualifications 5-7+ years of procurement operations, purchasing, or vendor operations, including time supporting a research, engineering, hardware, or outsourced services organization. Experience as the embedded procurement partner for a hyper scaling data operations, ML, RL, and lab environments Time at a hypergrowth technology company scaling procurement operations for outsourced or vendor delivered work. Background in accounting, accounts payable, or a month-end close process, including experience with three-way match Sourced human data, data labeling, annotation, or evaluation vendors (or comparable BPO and outsourced operations) with a point of view on where that market is heading Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month end accrual review or open PO reconciliation for a large, variable spend portfolio Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Software Engineer, you’ll be embedded in our Engineering organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in doing great work and stay curious about new techniques and technologies. What you will do Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our users and iterate on new ideas Protect our users’ privacy and security through secure coding practices Participate in code reviews, sharing your insights and learning from others What we're looking for Recent graduate (Spring 2026) or currently enrolled student (expected graduation of Fall 2026 or Spring 2027), with a Bachelor's or Master's in Computer Science or a related STEM field Solid CS fundamentals with experience in front-end (JavaScript, React) or back-end (Python, Node.js) technologies Experience with a database system such as PostgreSQL or ElasticSearch; familiarity with cloud platforms (AWS, Docker) is a plus Exposure to building with AI coding agents (we use Claude Code) is a plus A track record of shipping high-quality features through internships or personal projects Strong technical writing, analytical, and communication skills Excited to join a high-performing, mission-driven team that values urgency, accountability, and honest feedback A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The base pay for this role is $165,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .