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Location: Remote Workplace: Remote STAFF PRODUCT MANAGER, PRODUCT DISCOVERY ENGINE ABOUT US Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. JOB SUMMARY We’re looking for a systems-minded Staff Product Manager to take Constructor’s search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer. Your job is to raise discovery quality and, through it, our customers’ business metrics. You won’t be measured on features shipped — you’ll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up. You’ll start embedded with our Search Quality team, owning its strategy and roadmap and getting deep into the systems that decide what shoppers actually see. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we’re heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership. Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science, and engineering to turn the latest research into production wins, keep us ahead of both commercial competitors and academic state of the art, and be the connective tissue that aligns multiple teams — ML Recall, ML Infra, and, over time, teams like CORE, SABR, and Catalog Management — behind a single, coherent vision for great discovery. If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevance and business outcomes, and pushing an already best-in-class product further ahead, this role is for you. WHAT YOU’LL DO - Own business impact, not features. Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base. - Deliver across every retail industry. Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent. - Keep us at the state of the art. Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance. - Set chapter vision and strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re heading and why — tie it directly to customer business outcomes, and rally teams behind it. - Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results. - Orchestrate across the pipeline. Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding. - Turn ML research into production wins. Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost. - Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact. - Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches. - Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management. WHAT SUCCESS LOOKS LIKE Within your first year, you will have: - Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics. - Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve. - Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance. - Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology. - Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter. - Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes. WHAT WE’RE LOOKING FOR - Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level. - A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams. - Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery. - Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research. - Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks. - A rigorous, measurement-first mindset that ties every quality investment back to business outcomes. - Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and ML Ops. - Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart. BENEFITS - Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year. - A competitive compensation package including stock options. - Company-sponsored US health coverage (100% paid for employee). - Fully remote team — choose where you live. - Work-from-home stipend! We want you to have the resources you need to set up your home office. - Apple laptops provided for new employees. - Training and development budget for every employee, refreshed each year. - Parental leave for qualified employees. - Work with smart people who will help you grow and make a meaningful impact. This position is fully remote — Constructor.io http://Constructor.io is a remote-first company. DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Dave is looking for an Organic Growth and Discovery Lead to grow search and AI answer-engine visibility into efficient new-member acquisition.

Опыт бизнес-анализа от 3 лет, включая проведение Discovery. Уверенное владение BPMN 2.0, подготовка BRD, SRS, Use Cases и User Stories.

What You'll Do Own business impact, not features. Drive measurable lift in usage and business outcomes — conversion, revenue, engagement — across Constructor's agentic experiences.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Support the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release Support and improve the discovery technology stack including RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces Partner with discovery team, in-house counsel, outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path Improve and support the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status Minimum qualifications Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor A track record of supporting complex discovery operations functions Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, AI/TAR workflows, custom application development, and AI workflows Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows Experience operating discovery across modern enterprise data sources Slack, Google Workspace, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders Preferred qualifications 6+ years of hands-on discovery experience across the full EDRM lifecycle Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools Hands-on integration of generative AI and agentic workflows (e.g., Claude, Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment 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: $170,000 — $220,000 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. 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.

В роли Principal Product Manager, специализирующегося на рекомендациях и поиске, вы будете отвечать за развитие и оптимизацию функций платформы Babylist, которая служит универсальным сервисом для создания списков желаний для будущих родителей. Работа предполагает удалённое выполнение задач из США или Канады. Основные обязанности включают управление продуктом, связанное с рекомендационными системами и механизмами обнаружения контента, с целью улучшения пользовательского опыта и повышения вовлечённости. Требуется опыт в управлении продуктами, понимание технологий рекомендаций и аналитики, а также умение работать в распределённой команде. Важна способность формулировать стратегию развития продукта и координировать её реализацию с техническими и бизнес-командами.

Location: Philippines Want a role where you actually build in-demand tech and data skills? At H!KINEX , we help motivated people gain real-world experience working with U.S.-based legal and professional services teams. You’ll work with real data, real projects, and real deadlines — not simulations or busy work. This role is ideal for someone who enjoys working behind the scenes, solving problems, and making sure details are done right. You’ll learn how eDiscovery works in real legal environments while building strong technical, analytical, and compliance-focused skills. As an eDiscovery Data Analyst , you’ll support the preparation, processing, and management of digital data used in litigation and legal review. You’ll work closely with internal teams and clients to ensure data is accurate, secure, and delivered on time. This role is for people who want to grow, learn specialized skills, and build experience that actually transfers long-term. Why You’ll Love Working Here You’ll gain hands-on experience with real eDiscovery tools and legal data You’ll work with U.S.-based teams and real client projects You’ll develop strong attention to detail, data management, and problem-solving skills You’ll get clear processes, guidance, and support — not guesswork You’ll be part of a team that values learning, accountability, and growth What You’ll Be Doing Prepare and process electronically stored information (ESI) for legal review platforms Handle sensitive client data for litigation, analytics, and hosted review Support and maintain multiple databases and projects while following strict security and confidentiality standards Migrate data to secure, online platforms used by legal teams Troubleshoot processing and database issues until a full resolution is achieved Double-check data accuracy and ensure all client and project requirements are met Communicate regularly with internal teams to keep projects moving and on track Meet deadlines and ensure data deliverables are accurate and high quality Stay up to date on eDiscovery standards, tools, and technologies What We’re Looking For Experience as an eDiscovery Analyst (law firm or eDiscovery vendor experience is a plus) Strong English communication and comprehension skills Programming or technical experience is a plus, but not required Comfortable working graveyard shifts (weekends off) Detail-oriented, organized, and willing to dig into problems until they’re solved Ready to Apply? If you’re detail-focused, curious about legal tech and data, and want to build real-world skills while working remotely with U.S.-based teams, we’d love to hear from you. At H!KINEX , you’ll find a supportive, growth-focused environment where effort is noticed, feedback is real, and development actually happens — all while working from home and collaborating with experienced professionals.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Partner with Product Managers and Engineers throughout product discovery, from identifying problems and opportunities to defining and validating solutions. Translate user feedback, business goals, product requirements, and technical constraints into thoughtful product improvements. Own the end-to-end design process — from early ideas, user flows, and wireframes to prototypes, high-fidelity UI, implementation, and post-launch iteration. Use qualitative and quantitative data to inform design decisions and measure the success of shipped features. Design thoughtful, intuitive experiences that solve real user problems and create business value. Work closely with engineers during implementation, provide clear design guidance, and ensure the final product meets the intended quality. Collaborate with Product Managers, Engineers, Researchers, and other team members to find optimal solutions. Work collaboratively with other Product Designers to maintain consistency, contribute to the design system, and improve the product holistically. Understand customers, their needs, and behaviors through research, market analysis, product data, and feedback. Important/challenging tasks Turn ambiguous product problems into clear user flows, concepts, prototypes, and testable solutions. Validate design ideas through usability testing, user feedback, product data, and experimentation. Conduct user research to understand user needs, motivations, behaviors, and pain points. Balance user needs, business goals, and technical constraints when making design decisions. Design complex flows across different user states, platforms, screen sizes, and edge cases. Create detailed design specifications and work closely with Engineers throughout implementation. Iterate on shipped experiences based on qualitative and quantitative insights. Communicate design rationale clearly to stakeholders and build alignment around proposed solutions. Participate in design critiques and provide constructive feedback to other Product Designers. Manage and prioritize multiple design initiatives while maintaining a high level of quality. You’ll thrive here if you have 5+ years of experience as a Product Designer working on web-based products. Strong portfolio demonstrating end-to-end product design work, particularly for web products; mobile and desktop experience is a plus. Strong user-centered and product thinking, with the ability to connect user needs with business goals. Experience working in cross-functional product teams with Product Managers and Engineers. Ability to independently drive design work from an ambiguous problem to a shipped and validated solution. Experience using qualitative and quantitative insights to inform and validate design decisions. Strong interaction design, information architecture, prototyping, and visual design skills. Strong Figma skills and experience working with component-based design systems. Good understanding of front-end development principles and ability to collaborate effectively with engineers. Ability to think through complex user flows, responsive behavior, different user states, and edge cases. Excellent communication skills and ability to clearly explain and defend design decisions. English at B1/B2 level or higher, sufficient for day-to-day collaboration and presenting design decisions. It will be a plus Experience working on complex, high-traffic B2C products. Experience with product analytics, experimentation, and data-informed design. Experience contributing to design systems and maintaining design documentation. Experience using AI tools to accelerate product design workflows. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Location: San Francisco, CA 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 Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: $350,000 — $850,000 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. 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: San Francisco, CA 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 Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning 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: $350,000 — $850,000 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. 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 Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement. As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency. At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you. Why Offchain? Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today. Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack. Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure. To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. What is the role: Offchain is looking for a strategic, hands-on Senior Product Marketing Manager to drive go-to-market and growth for ZeroDev, our smart account and wallet infrastructure for developers, fintechs and financial institutions building programmable finance. This role is made for a builder who thrives at the intersection of product, sales and growth, and who can connect every campaign to pipeline and revenue. This is a full-stack role. One week you're shipping a launch; the next you're working in HubSpot and supporting commercial proposals with Sales. You'll work closely with Product, Engineering, Legal, Sales and the wider Offchain marketing team to shape positioning, run campaigns and grow ZeroDev's footprint with both crypto-native builders and enterprise buyers. What you'll do: Develop product positioning, messaging and competitive framing across the ZeroDev product line, and evolve it as products mature. Define go-to-market plans and run launches end to end, developing content for landing pages, blogs, emails, demos, social, one-pagers and internal enablement. Run content, search and lifecycle programs. Own the X and LinkedIn calendar, SEO and answer-engine visibility, the monthly newsletter, nurture flows and customer case studies. Own growth operations: HubSpot administration, lead scoring and routing, campaign tracking (UTMs, PostHog) and funnel dashboards. Equip Sales with proposals, battlecards, account briefs and discovery prompts grounded in the product to assist in moving customers through the pipeline . Collaborate with ecosystem partners to drive adoption and amplify reach through coordinated GTM efforts. Contribute to OKRs and performance tracking frameworks, and manage marketing budget and paid campaigns against named opportunities. What you'll need: 5+ years of experience in product marketing or a similar function in crypto, fintech, or developer tools and infrastructure Demonstrated success launching and scaling product launches end to end, with quantifiable outcomes Strong copywriting and storytelling skills - able to distill complexity into clarity Hands-on HubSpot experience: workflows, lead scoring, pipelines and reporting Analytical in nature, with a strong ability to set up tracking, read funnels and tie marketing work to pipeline and revenue Comfort navigating ambiguity and solving open-ended problems with structure and insight Daily AI tool user who can build simple agent workflows or automations Blockchain Enthusiast. A burning curiosity and/or deep understanding of blockchain technologies Bonus: Experience managing and mentoring team members, fostering a collaborative environment that drives individual growth and team success Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers: This role cannot be performed in California, or Colorado. Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

-погружаться в процессы, данные и бизнес-логику клиентского подразделения. -общаться с заказчиками и пользователями, уточнять потребности и формулировать техническое решение.

Location: Almaty, Kazakhstan Workplace: onsite As the Sr. Talent Sourcer, you will drive candidate discovery, market intelligence, and pipeline strategy across key business functions. Key Responsibilities Act as the full owner of sourcing and candidate engagement strategies for active vacancies, driving pipeline quality and efficiency from start to finish while ensuring a positive experience for candidates and stakeholders. Own talent insights activities: manage stakeholder expectations anticipate potential hiring risks and build strong partnerships with recruiters, hiring managers, and cross-functional teams. Proactively analyze external labor market data - talent availability, competitor hiring activity, and compensation trends - to keep the company's talent acquisition strategy aligned with market dynamics. Play a key role in building strategic talent mapping in close collaboration with business leaders, recruitment teams, and PnC partners, including identifying hard-to-fill roles, emerging critical skills, key talent sources, and common career paths to priority positions. Actively develop and maintain professional talent networks and continuously improve the internal candidate database to support faster and more effective sourcing. Skills, Knowledge & Expertise 3+ years of talent sourcing, recruitment, or talent intelligence experience, preferably within high-growth, technology, or complex corporate environments. Proven track record of pipeline generation for niche, hard-to-fill, and executive-level positions. Demonstrated history of delivering data-driven market insights directly to senior leadership. Deep expertise in advanced sourcing techniques. Hands-on proficiency with modern ATS, CRM tools, and talent intelligence platforms. Ability to look beyond immediate vacancies to build sustainable, long-term talent pipelines. Strong interpersonal skills with the ability to influence hiring managers, manage expectations, and challenge assumptions using data. Passion for market research, data analysis, and translating conversion rates into actionable business recommendations. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is seeking a Head of Loyalty Product to own inDrive’s Loyalty product domain end-to-end, reporting to the Director of SuperApp and Growth Businesses Product. The core challenge is to build a loyalty proposition that customers genuinely value and that measurably changes behavior. That means increasing frequency, retention, cross-service engagement, and customer lifetime value while maintaining sustainable economics. This is not a role focused on running a rewards feature or promotional calendar. You’ll own Loyalty as a product domain and lead execution across multiple teams and markets. This happens in a highly cross-functional environment where many of the capabilities required to deliver the Loyalty experience sit outside your direct team. Key Responsibilities Own Loyalty product strategy and roadmap. Define and continuously evolve the product strategy and roadmap for Loyalty across inDrive. Identify where loyalty can create the greatest customer and business value, translate those opportunities into clear product priorities, and own the resulting product outcomes. Build the customer proposition. Design loyalty experiences and mechanics that customers understand, value, and actively engage with. Own the end-to-end customer journey - from discovery and enrollment through earning, benefits, redemption, progress, and ongoing engagement. Drive measurable changes in customer behavior. Build products that improve frequency, retention, engagement, and customer lifetime value. Establish clear hypotheses and success criteria and distinguish incremental behavior from activity that would have happened anyway. Connect product decisions to economics. Partner closely with Business and Analytics to understand the economics behind the product. Make informed trade-offs between customer value, engagement, cost, and long-term impact rather than optimizing individual product metrics in isolation. Build for an ecosystem. Develop loyalty experiences and capabilities that can work across multiple inDrive services, customer journeys, and markets. Balance reusable, scalable product capabilities with meaningful differences in local customer behavior and market economics. Lead experimentation. Build a rigorous experimentation approach around loyalty propositions, rewards, incentives, and customer experiences. Use behavioral data, segmentation, and personalization to continuously improve what value is offered, to whom, and when. Drive cross-functional execution. Work closely with Engineering, Design, Data, Marketing, CRM, and product teams across inDrive. Identify and manage critical dependencies, create alignment around priorities and requirements, and drive the cross-team execution needed to deliver the overall Loyalty product outcome. Build and lead the product team. Build, lead, and develop the Loyalty product team. Set a high bar for product discovery, prioritization, experimentation, execution, and accountability, and create an environment where strong product talent can grow. Build a strong measurement system. Establish the measurement framework for Loyalty together with Analytics, combining experimentation, customer insights, and business performance to determine what should scale, evolve, or stop. Skills, Knowledge and Expertise Loyalty, membership, subscription, or engagement product depth. You’ve built and scaled meaningful consumer loyalty, membership, subscription, rewards, or adjacent engagement products - not simply managed promotional campaigns. Strong consumer product background. You’ve built products in a scaled consumer technology environment such as mobility, delivery, marketplaces, e-commerce, travel, fintech, or another high-frequency digital category. End-to-end product ownership. You’ve owned a meaningful product area from strategy and discovery through execution, experimentation, and measurable customer and business outcomes. Behavior-change mindset. You understand how product mechanics, incentives, benefits, status, rewards, and customer experience influence behavior - and know how to distinguish genuine incremental impact from correlation. Strong commercial judgment. You can move fluently between customer experience and economics, understand unit economics and LTV, and make thoughtful trade-offs between growth, customer value, and cost. Experimentation depth. You have strong experience with controlled experimentation, segmentation, and behavioral data and use evidence to make product investment and prioritization decisions. Cross-product thinking. You’ve worked on products that span multiple customer journeys, business lines, or product teams and can create alignment and drive execution without relying solely on direct organizational authority. Multi-market experience. You’ve built or scaled consumer products across multiple countries or regions and understand how customer behavior, willingness to pay, incentives, and economics can differ across markets. 0-to-1 builder who can also scale. You’re comfortable starting with ambiguity, shaping a proposition, validating it with customers and data, and then turning what works into scalable product capabilities. Product leadership. You’ve led and developed product managers, can set a strong product bar, and are comfortable working with senior stakeholders across Product, Engineering, Business, Finance, Marketing, and other functions. Will be an advantage Experience building loyalty or membership products for a multi-service consumer ecosystem or super app. Experience with paid membership or subscription products. Experience with rewards, cashback, wallet, payments, or incentive systems. Experience with personalization, recommendations, CRM, or lifecycle decisioning. Marketplace or two-sided platform experience. Experience in high-growth emerging markets across LATAM, Central Asia, South Asia, Southeast Asia, or Africa. Experience taking a loyalty or membership proposition from initial launch to multi-market scale. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 116 500 EUR gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Staff Product Manager to shape this product from an early stage and lead it through validation, launch and international scale. We are building a new product that enables people across inDrive’s global user base to earn additional income by completing tasks that generate high-quality training data for AI. Following a successful pilot, we are moving from a partner-led solution towards our own scalable platform. It will connect demand from AI companies with distributed data collection and labelling, covering the full journey from buyer requirements and task design to contributor payouts, quality assurance and dataset delivery. Key Responsibilities Own the end-to-end product strategy, roadmap and outcomes for the Data Tasks platform. Translate data buyer requirements into scalable collection, annotation and quality-control workflows. Design the full product journey across both sides of the platform: enterprise buyers and task contributors. Build capabilities for task creation and distribution, contributor onboarding, payouts, data submission, validation, labelling and dataset delivery. Define the right balance between building internal capabilities, using external platforms and working with specialised partners. Establish product metrics across demand, supply, data quality, unit economics and contributor experience. Run discovery and experiments to improve acquisition, activation, task completion, retention and payout experience. Work closely with Commercial, Engineering, Data, Operations, Legal, Privacy, Information Security and market teams. Ensure the platform can support multiple data types, including audio, text, images, video and multimodal data, across different countries and use cases. Skills, Knowledge and Expertise Significant product management experience, including ownership of complex products at Staff, Principal or equivalent level. Proven experience building and scaling a new product or platform from an early stage. Strong systems thinking and the ability to design end-to-end products involving multiple users, workflows and operational processes. Experience with B2B platforms, marketplaces, crowdsourcing, data products, AI/ML infrastructure or workflow products. Strong commercial judgement and the ability to connect customer needs, product decisions and unit economics. Ability to work with enterprise customers and translate technical or specialised requirements into scalable product solutions. Strong analytical skills and experience defining metrics, running experiments and making decisions under uncertainty. Ability to operate independently, bring clarity to ambiguity and influence senior stakeholders without relying on formal authority Fluent English and clear written and verbal communication skills. Nice to have Experience with AI training data, data collection, annotation, model evaluation or quality-assurance systems. Experience building two-sided marketplaces or products involving distributed contributor networks. Experience launching products across emerging markets and adapting them to local payment, legal and operational constraints. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 90 700 EUR gross. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Technical Program Manager to own inDrive’s largest cross-team programs end to end. You will work across tens of teams, partner directly with product and engineering leadership, and decide not only how our biggest programs are delivered but which ones we run and in what order. The role sits between product intent and technical reality. You will work with Product Managers to scope, prioritise and phase what we build, and with engineering to decide how it gets built - then own the dependency picture across the entire surface. This is a deeply technical role. You will spend your time in architecture discussions, design reviews and trade-off decisions, not only in status meetings. We are looking for someone who has built software or led engineers, and who can hold their own with staff engineers and architects. You will join the Program Management team inside the Product & Technology PMO, alongside Product & Engineering Excellence and CTO/CPO Operations. Please note that we are looking for a candidate based in Georgia (the country), not the U.S. state Key Responsibilities Coordination of several product teams’ work to ensure delivery of value within expected timelines Working closely with Engineering manager and team members to create products and achieve tangible impact throughout the development lifecycle Managing project schedules, identifying potential issues, and timely informing all key stakeholders Managing priorities, risks, and dependencies Establishing a process for continuous improvement of metrics - performance (delivery and discovery), quality, as well as team engagement and maturity Facilitating project or program-level events Skills, Knowledge and Expertise End-to-End Ownership. Own end-to-end delivery of inDrive’s largest org-wide technical programs, from initiation and scoping through architecture, execution, launch and adoption, against measurable outcomes over multiple quarters Product Partnership. Partner with Product Managers across business verticals and platform to scope programs, challenge and sharpen requirements, agree what is in and out, and turn ambiguous product intent into a program with a defensible shape Prioritisation and Phasing. Drive prioritisation and phasing decisions with Product and Engineering — what ships first, what can wait, what can be split — so that value lands early and the plan survives contact with reality Cross-Surface Dependencies. Identify, map and resolve dependencies across the whole surface, including the ones nobody has noticed yet Technical Depth. Understand technical implementation at the architecture level and contribute to decisions on system design, scalability and reliability Solution Architecture. Own the technical coherence of end-to-end solutions that span multiple services, platforms, vendors and markets, and be accountable for the technical KPIs and SLAs your programs commit to Technical Judgment. Use your engineering background to help teams make sound design decisions, identify gaps in proposed solutions and weigh product-versus-technology trade-offs Portfolio Management. Own a portfolio of programs: sequence them, resolve cross-program dependencies and capacity conflicts, and make the calls on scope, timeline and technical approach Structure in Ambiguity. Create structure where none exists by defining program frameworks, decision points, operating cadences and communication models Systemic Risk. Detect risk visible only from a cross-program vantage point, and intervene to stabilise at-risk programs anywhere in the portfolio Execution at Scale. Identify where the organisation is losing speed, design scalable processes to fix it, and drive adoption across all Prod/Tech teams Executive Partnership. Partner directly with Product/Engineering Directors, VPs, the CTO and CPO on priorities, goals and trade-offs, and own executive communication so decisions are made quickly and with the right information Craft Leadership. Mentor Technical Program Managers and set the craft direction for the program management group Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cape Town, South Africa About Bamboo Works Bamboo Works helps growing companies and ambitious entrepreneurs build global teams without handling recruitment themselves. We place vetted, English-fluent professionals, from service and support staff to accountants, engineers, and marketers, who work as part of our clients' onshore teams. Our services range from single specialist placements to fully managed offshore departments and recruitment-as-a-service. We've served 200+ clients so far and invest in our people through our own AI Academy. We were built remotely on purpose, and we care about the quality of each hire more than the number of hires. As we continue to grow, we're looking for an exceptional Lead Generation Specialist to fuel our growth by connecting us with the companies that need great offshore teams the most. If you're passionate about finding opportunities others miss, starting meaningful conversations, and helping businesses grow through great people, we'd love to hear from you. The Role As a Lead Generation Specialist , you'll own the top of our sales funnel, from identifying the right companies through booking qualified meetings for our sales team. You'll build a predictable pipeline from scratch, targeting companies that could realistically hire offshore staff, and find the buying signals that show when a business is ready to build a remote team. This is a highly autonomous role where you'll work closely with our sales team and internal leadership to test new channels, refine our ideal customer profile, and hand over opportunities that are warm, qualified, and ready to close. Your success will be measured not only by the number of qualified meetings you generate, but also by the quality of those opportunities, your creativity in finding new ways to reach prospects, and the long-term clients they turn into. Role Details Commitment: Part-Time/Full-Time Working Hours: Flexible with overlap across international clients Location: Fully Remote Engagement: Independent Contractor Start Date: ASAP Monthly Rate: Competitive rate based on experience, consisting of base pay + high incentives What You'll Do Build a steady flow of qualified meetings with companies looking to hire offshore staff. Define and refine the ideal customer profile. Spot buying signals (hiring activity, growth triggers, operational strain) that show when a company is ready to offshore. Run outreach across email, LinkedIn, phone, and less conventional channels. Test, measure, and double down on what converts. Qualify and warm up prospects so our sales team receives opportunities that are ready to close. Keep our CRM clean and accurate. Report full-funnel metrics from first touch through closed client, and use them to improve results month over month. What We're Looking For Must-Haves At least 3 years in B2B lead generation, with a proven record of generating clients for a staffing, recruitment, outsourcing, or BPO firm itself (not for one of its clients). You can share real funnel numbers, including outreach volume, reply rates, meetings booked, show-up rates, and closed clients, as well as the KPIs you were held to. You can build targeted lead lists and find buying signals on your own. You're creative with outreach and don't depend on an expensive stack of paid tools. You have hands-on experience with at least one CRM (e.g., GoHighLevel, HubSpot, Pipedrive, Salesforce, Zoho) and keep detailed, up-to-date prospect and opportunity records. You write and speak English excellently, and you're comfortable owning targets independently in a fully remote setup. Nice-to-Haves Experience running qualification or discovery calls before handing prospects over to sales Familiarity with the Western SMB market (US, UK, EU, AU) and its offshore hiring needs Experience with cold calling or appointment-setting software Experience with corporate markets, such as accounting Uses AI tools (ChatGPT, Claude, Clay, etc.) to speed up research and personalization Experience with outreach beyond cold email and LinkedIn, such as partnerships, referrals, events, communities, or content-led prospecting Ideal Candidate Profile This role is ideal for someone who: Is driven by targets and motivated by seeing the pipeline grow. Takes ownership of results rather than waiting for leads to come to them. Spots opportunities and buying signals that others miss. Thrives in a fast-paced, entrepreneurial environment where you're building from scratch. Handles rejection with resilience and keeps outreach consistent day after day. Gets creative with outreach instead of relying on expensive tools or one-size-fits-all templates. Balances high activity with high-quality, well-qualified opportunities. Is data-driven, tracking every number in the funnel and using it to improve. Enjoys starting conversations with business owners and understands how great offshore talent helps companies grow. Why Join Bamboo Works? Join a growing international company with ambitious expansion plans. Work directly with businesses across multiple industries and countries. Build meaningful, long-term client relationships where your work has visible impact. Collaborate with a supportive, high-performing remote team. Enjoy a high degree of autonomy, trust, and ownership in your role. Benefit from a competitive base salary plus high incentives. Work directly with company founders Recruitment Process Initial Interview Interview with the Founders Offer & Onboarding

Location: Manila, Philippines About Bamboo Works Bamboo Works helps growing companies and ambitious entrepreneurs build global teams without handling recruitment themselves. We place vetted, English-fluent professionals, from service and support staff to accountants, engineers, and marketers, who work as part of our clients' onshore teams. Our services range from single specialist placements to fully managed offshore departments and recruitment-as-a-service. We've served 200+ clients so far and invest in our people through our own AI Academy. We were built remotely on purpose, and we care about the quality of each hire more than the number of hires. As we continue to grow, we're looking for an exceptional Lead Generation Specialist to fuel our growth by connecting us with the companies that need great offshore teams the most. If you're passionate about finding opportunities others miss, starting meaningful conversations, and helping businesses grow through great people, we'd love to hear from you. The Role As a Lead Generation Specialist , you'll own the top of our sales funnel, from identifying the right companies through booking qualified meetings for our sales team. You'll build a predictable pipeline from scratch, targeting companies that could realistically hire offshore staff, and find the buying signals that show when a business is ready to build a remote team. This is a highly autonomous role where you'll work closely with our sales team and internal leadership to test new channels, refine our ideal customer profile, and hand over opportunities that are warm, qualified, and ready to close. Your success will be measured not only by the number of qualified meetings you generate, but also by the quality of those opportunities, your creativity in finding new ways to reach prospects, and the long-term clients they turn into. Role Details Commitment: Part-Time/Full-Time Working Hours: Flexible with overlap across international clients Location: Fully Remote Engagement: Independent Contractor Start Date: ASAP Monthly Rate: Competitive rate based on experience, consisting of base pay + high incentives What You'll Do Build a steady flow of qualified meetings with companies looking to hire offshore staff. Define and refine the ideal customer profile. Spot buying signals (hiring activity, growth triggers, operational strain) that show when a company is ready to offshore. Run outreach across email, LinkedIn, phone, and less conventional channels. Test, measure, and double down on what converts. Qualify and warm up prospects so our sales team receives opportunities that are ready to close. Keep our CRM clean and accurate. Report full-funnel metrics from first touch through closed client, and use them to improve results month over month. What We're Looking For Must-Haves At least 3 years in B2B lead generation, with a proven record of generating clients for a staffing, recruitment, outsourcing, or BPO firm itself (not for one of its clients). You can share real funnel numbers, including outreach volume, reply rates, meetings booked, show-up rates, and closed clients, as well as the KPIs you were held to. You can build targeted lead lists and find buying signals on your own. You're creative with outreach and don't depend on an expensive stack of paid tools. You have hands-on experience with at least one CRM (e.g., GoHighLevel, HubSpot, Pipedrive, Salesforce, Zoho) and keep detailed, up-to-date prospect and opportunity records. You write and speak English excellently, and you're comfortable owning targets independently in a fully remote setup. Nice-to-Haves Experience running qualification or discovery calls before handing prospects over to sales Familiarity with the Western SMB market (US, UK, EU, AU) and its offshore hiring needs Experience with cold calling or appointment-setting software Experience with corporate markets, such as accounting Uses AI tools (ChatGPT, Claude, Clay, etc.) to speed up research and personalization Experience with outreach beyond cold email and LinkedIn, such as partnerships, referrals, events, communities, or content-led prospecting Ideal Candidate Profile This role is ideal for someone who: Is driven by targets and motivated by seeing the pipeline grow. Takes ownership of results rather than waiting for leads to come to them. Spots opportunities and buying signals that others miss. Thrives in a fast-paced, entrepreneurial environment where you're building from scratch. Handles rejection with resilience and keeps outreach consistent day after day. Gets creative with outreach instead of relying on expensive tools or one-size-fits-all templates. Balances high activity with high-quality, well-qualified opportunities. Is data-driven, tracking every number in the funnel and using it to improve. Enjoys starting conversations with business owners and understands how great offshore talent helps companies grow. Why Join Bamboo Works? Join a growing international company with ambitious expansion plans. Work directly with businesses across multiple industries and countries. Build meaningful, long-term client relationships where your work has visible impact. Collaborate with a supportive, high-performing remote team. Enjoy a high degree of autonomy, trust, and ownership in your role. Benefit from a competitive base salary plus high incentives. Work directly with company founders Recruitment Process Initial Interview Interview with the Founders Offer & Onboarding