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Location: San Francisco; Palo Alto; London; Berlin; New York City Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Обзор позиции: Ищем специалиста по развитию аккаунта Reinforce.fi в X (Twitter). Нужен специалист, который будет развивать аккаунт через постоянные проверки новых идей. Главная задача: гипотеза → проверка → анализ → решение → масштабирование или отказ. Основная воронка: показы → переходы в профиль → новые подписчики. Главная цель — системный рост релевантной аудитории Reinforce в X и поиск механизмов роста, которые можно повторять и масштабировать. Задачи: — Искать новые способы роста аккаунта; — Проверять темы, первые фразы, форматы, призывы к действию, картинки, видео, время публикации; — Анализировать удачные и слабые публикации и понимать, почему одни работают лучше других; — Исследовать конкурентов, авторов и быстрорастущие небольшие аккаунты; — Развивать текущие рубрики про USDT, стейблкоины, доходность, безопасность, самостоятельное хранение и DeFi; — Тестировать ответы на чужие публикации, цитирование и поддержку со стороны лидеров мнений; — Вести список экспериментов и фиксировать выводы. Требования: — После удачного поста думать не «залетел», а: «Почему это сработало? Как это проверить? Можно ли повторить? Что теперь нужно изменить?»; — Хорошее понимание механики X (Twitter); — Умение определять сильные короткие тексты на английском (есть натренированный GPT для написания); — Навыки самостоятельного формулирования и проверки гипотез; — Уверенная работа с аналитикой и таблицами; — Умение отличать реальный закономерный результат от случайного успеха; — Проактивность — постоянно приносить новые идеи, а не ждать готового плана. Плюсом будет: — Опыт в криптовалютах, финансовых технологиях, USDT, стейблкоинах, DeFi; — Опыт работы с лидерами мнений и инструментами искусственного интеллекта.

Location: Haradh, Saudi Arabia We are seeking an experienced RTR Quality Control (QC) Inspector to join our team on a major infrastructure project. The successful candidate will oversee the inspection and testing of Reinforced Thermosetting Resin (RTR), Glassfiber Reinforced Epoxy (GRE), and Glass Reinforced Plastic (GRP) piping systems. You will ensure that all construction and installation activities fully comply with project specifications, international codes, and client engineering standards. KEY RESPONSIBILITIES : Material Inspection: Verify incoming RTR/GRE/GRP pipes, fittings, adhesives, and raw materials against material certificates, purchase orders, and project requirements. Process Monitoring: Inspect joint fit-ups, adhesive bonding, lamination layups, wrapping, and curing cycles (including heating blanket applications). Testing & Verification: Witness and document hydrostatic pressure testing, leak testing, and visual inspections of completed non-metallic piping networks. Shaving & Qualification: Verify shaver machine settings, taper angles, and joint preparation; monitor and qualify the workmanship of RTR bonders and laminators. Documentation Management: Prepare, review, and maintain Quality Control Procedure (QCP) documents, Inspection and Test Plans (ITP), and daily Quality Inspection Reports (QIR). Defect Management: Identify non-conformances, issue Non-Conformance Reports (NCRs), and follow up on corrective and preventive actions (CAPA). Requirements Experience: Minimum of 5 to 7 years of QC inspection experience strictly dedicated to RTR/GRE/GRP piping within the oil and gas, petrochemical, or large-scale utility sectors. Technical Certifications: Valid qualification/certification from major RTR manufacturers (e.g., Future Pipe Industries [FPI], Amiantit, or equivalent). Standards Knowledge: Strong familiarity with international standards such as ASME B31.3, ASTM, and specific regional client specifications (such as Saudi Aramco Engineering Standards SAES-L-105, SAES-S-070, or equivalent). Computer Skills: Must have passed or be ready to take the client Computer-Based Test (CBT) for RTR/Non-Metallic piping inspection. Education: Diploma or Bachelor's Degree in Mechanical, Chemical, or Materials Engineering.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo Finance is looking for a Growth PM to own user-facing product strategy across our unified platform interface, Ondo Finance App. This role is the growth counterpart to our platform PMs — and will be the primary driver of user acquisition, activation, and retention across Ondo's expanding product suite (Stocks, Treasuries, Portfolios, and more). You will work at the intersection of product, design, engineering, and marketing to build world-class user journeys for a new generation of on-chain financial products. What You'll Own User acquisition: Identify and build product-led growth loops, referral mechanisms, onboarding flows, and entry points that bring new users into the Ondo ecosystem Activation: Design and optimize the end-to-end onboarding experience — from first visit to first meaningful transaction — across Ondo Finance Web App and eventually mobile Retention & engagement: Build features and feedback loops that keep users active, informed, and deepening their relationship with Ondo's product lines User journey design: Map and continuously improve user journeys across all Ondo products surfaced through Ondo Finance Web App Experimentation: Drive a structured A/B testing and experimentation culture; define success metrics and own the growth analytics stack alongside data and engineering Cross-product growth: Collaborate with product line PMs to ensure growth initiatives are coordinated and reinforced across product surfaces Requirements 4–7+ years of product management experience with a clear focus on consumer-facing or growth-oriented products Experience in fintech, crypto, or financial products — particularly products involving real-world assets, trading, or investment platforms Personal experience using financial products similar to ours, with a genuine desire to walk in the customer's shoes Demonstrated track record of owning and improving acquisition, activation, and/or retention metrics at scale Strong product instincts — you care deeply about user experience and are willing to do whatever it takes to make the product successful Excellent written and verbal communication; able to write sharp, well-reasoned PRDs and present clearly to engineers and leadership Data-driven mindset with hands-on experience defining KPIs, running experiments, and translating data into product decisions US-hours based (preference per current team structure) Nice to have Familiarity with on-chain / Web3 user onboarding challenges (wallet setup, KYC flows, etc.) Experience working on a unified platform serving multiple financial product lines Prior exposure to developer-facing or API-adjacent products What we offer Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

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 is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale. You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes. Key responsibilities Design and build a scalable onboarding and ongoing development program for sales leadership Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting Define and measure leading indicators of manager and team effectiveness Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement Minimum qualifications Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives Preferred qualifications 8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on Prior frontline sales management experience Experience at an AI company or high-growth technology organization that has scaled a sales leadership team Experience using or building applications on top of Claude or similar AI tools to automate and personalize training 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: $310,000 — $360,000 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 Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster. You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our team: - Baseten Training: an autoresearch substrate https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/ - Introducing Baseten Loops https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/ - Harnesses are everything. Here's how to optimize yours. https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/ - Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/ RESPONSIBILITIES - Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA. - Design the harnesses, execution flows, and guardrails that make AI systems reliable in production. - Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams. - Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features. - Define and instrument evals so you know whether a change actually improved output quality. - Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end. - Use Baseten's own training and inference products yourself to develop intuition around customer workflows. - Identify where AI can replace manual process across the company and build the thing rather than write the proposal. - Fix bugs and resolve customer issues with urgency. REQUIREMENTS - 5+ years of experience building and shipping software applications. - Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on. - Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well. - Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on. - Proficiency in Python, with fluency in at least one other language. - Comfort working autonomously in a fast-moving environment with limited structure. - Ability to move between customer-facing product work and internal tooling and automation. - Strong communication skills, with the ability to bridge technical depth and business needs. NICE TO HAVE - Experience as a founding engineer or early employee at a startup. - Experience building evals, agent observability, or tooling for non-deterministic systems. - Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP). - Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes. - Frontend fluency. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote - US Sr. Director of Commercial and Legal Affairs About Backblaze Backblaze is a public company that makes storing and using data astonishingly easy. When our founding team got together, they committed to helping people save their data. Today, the Backblaze Storage Cloud provides a foundational platform around the world for a broad community of developers, IT generalists, entrepreneurs, and individuals who seek the easy, affordable, trusted solutions we provide. We have managed to nurture a team-oriented culture with amazingly low turnover. Our approach is guided by honesty, transparency, and a commitment to doing the right thing. Our customers are happy, and so are our coworkers: in the most recent “Great Place to Work” survey, 97% of our team rated Backblaze as “a great place to work.” Check out what our employees are saying on Glassdoor! About the Role We are seeking a Sr. Director of Commercial and Legal Affairs to lead and oversee Backblaze’s commercial, privacy, and product legal functions. This is a people leader role that will serve as a strategic business partner across Sales, Product, Engineering, Security, and Compliance. The ideal candidate is a highly experienced commercial lawyer with a strong track record of drafting and negotiating complex technology transactions, including enterprise and strategic partnership deals. This role also requires fluency in privacy and data protection issues and hands-on experience advising product and engineering teams throughout the product lifecycle. This position will play a critical role in enabling scalable growth while thoughtfully managing legal and regulatory risk as Backblaze continues to expand globally. This role includes people management responsibilities and will lead, mentor, and develop attorney(s) and legal professional(s) supporting commercial, privacy, and product work. This role reports to the Head of Legal & Compliance and is fully remote (US-based). What You’ll Do Commercial Leadership and Deal Execution Lead the company’s commercial contracting function, serving as the primary legal owner for complex, high-value, and strategic transactions. Draft, review, and negotiate a wide range of sophisticated commercial agreements, including enterprise SaaS agreements, MSAs, SOWs, partnership and channel agreements, reseller agreements, professional services agreements, consulting agreements, and related technology transactions. Act as the senior escalation point for complex or high-risk negotiations, providing strategic guidance to Sales, Business Development, and executive stakeholders. Ensure commercial terms align with Backblaze’s business objectives, risk tolerance, and long-term growth strategy. Privacy and Data Protection Provide practical, business-oriented legal advice on global privacy and data protection matters, including GDPR, CCPA, and other applicable data protection regimes. Oversee and support the development, negotiation, and maintenance of data protection agreements, privacy terms, and related contractual frameworks. Partner closely with Security, Compliance, and Product teams to assess privacy risk and ensure data protection obligations are integrated into business processes and products. Product and AI Counseling Serve as a trusted legal advisor to Product and Engineering teams, advising on product design, feature development, and launches from inception through release. Counsel on issues related to data use, AI and machine learning, intellectual property, open source, and regulatory considerations impacting product development. Advise on the commercial, privacy, and contractual terms for AI features and AI-driven workloads, and help the business adopt AI responsibly and at speed. Help teams identify and mitigate legal risk while enabling innovation and speed. Process, Playbooks, and Scale Lead the development and continuous improvement of commercial playbooks, templates, policies, and negotiation frameworks to support efficient scaling. Optimize contracting processes to improve speed, consistency, and quality while maintaining appropriate controls, including through the use of AI-enabled contracting and legal tooling. Partner with Legal Operations to enhance tooling, workflows, and reporting related to commercial and privacy matters. Stay current on legal and regulatory developments relevant to cloud services, SaaS, privacy, AI, and technology transactions. Cross-Functional Leadership Act as a trusted partner to Sales, Product, Engineering, Marketing, Finance, Security, and other cross-functional teams. Provide training and guidance to internal stakeholders on contracting best practices, privacy requirements, and risk awareness. Collaborate closely with other Legal and Compliance leaders to ensure alignment across the broader legal function. People Leadership and Team Development Lead and manage legal professionals supporting commercial, privacy, and product counseling functions. Provide mentorship, coaching, and performance management to support professional growth and high-quality legal work. Set clear priorities, allocate work effectively, and ensure consistent, high-impact legal support across the business. Partner with members of the Legal & Compliance team, as well as senior leadership, on team planning, resourcing, and process improvements as the function scales. The Right Fit Deep experience drafting and negotiating complex commercial agreements, including enterprise customer and strategic partnership transactions. Strong understanding of SaaS business models, cloud services, and technology transactions. Solid working knowledge of global privacy and data protection laws, with the ability to translate legal requirements into practical business guidance. Demonstrated experience providing product counseling to product and engineering teams. Fluency in the legal issues raised by AI, including AI in products, AI-assisted contracting, and AI governance, or a strong interest and demonstrated ability to build depth in this area quickly. Excellent business judgment and the ability to manage competing priorities in a fast-moving environment. Proven ability to lead, influence, and collaborate across functions and levels of seniority. Clear and effective communicator who can translate complex legal issues into concise, business-friendly advice. Hands-on, pragmatic, and solutions-oriented, with a strong sense of ownership and accountability. Prior experience managing, mentoring, and developing legal team members in an in-house environment. Qualifications J.D. degree and active U.S. bar membership in good standing. 10 or more years of relevant legal experience, with substantial experience negotiating and leading complex technology transactions, including enterprise SaaS agreements and strategic partnerships. Meaningful in-house legal experience, preferably at a high-growth technology or SaaS company. Strong experience supporting enterprise sales motions, partner and channel relationships, and global commercial operations. Working knowledge of global privacy and data protection laws, with experience advising on data protection obligations in commercial agreements and product offerings. Experience providing practical legal guidance to product and engineering teams throughout the product development lifecycle. Familiarity with, or genuine willingness to develop fluency in, AI and its legal, privacy, and commercial implications, and comfort using AI tools to work more efficiently. Prior experience managing, mentoring, or developing legal team members, or demonstrated readiness to take on people management responsibilities. Backblaze Perks Great healthcare benefits (100% healthcare premiums for family) Competitive compensation 401K matching RSU equity awards Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your workstation Childcare bonus Commuter benefits Culture that supports a healthy work-life balance The base pay range for this position is $210,000 - $264,000 . At Backblaze, we value being fair and good to our customers, partners, and employees. That is why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socioeconomic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ 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. ABOUT THE ROLE We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs. This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems. You'll help define what an AI-native advertising platform looks like from the ground up. WHAT YOU'LL DO: - Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization. - Develop models that improve ad creative quality, relevance, personalization, and performance at scale. - Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs. - Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases. - Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives. - Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance. - Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving. - Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use. REQUIREMENTS - Deep experience building machine learning systems for advertising. - Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement. - Hands-on experience with LLMs, multimodal models, or generative AI systems. - Strong experience with prompt engineering and model evaluation. - Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches. - Strong software engineering fundamentals and experience shipping production ML systems. - Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system. - High agency. - Working English. NICE TO HAVE - Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform. - Experience with generative video, image, or multimodal models. - Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems. - Experience with large-scale model training, inference optimization, or distributed ML infrastructure. - Experience building AI systems that generate or optimize advertising creative. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself. What You'll Do: Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment. Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest. Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints. Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible. Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from. Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit. Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing. What You'll Bring: 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions. Experience with dynamic or algorithmic pricing systems in production. An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong. Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches. Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes. Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly. Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses. The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome. Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision. Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain. Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors. A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission. Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't Nice to have: Experience in marketplace, telecom, travel, or subscription/usage-based businesses. Bayesian or hierarchical modelling for sparse segments and long-tail SKUs. Competitive price response modelling, or working with scraped competitor pricing data. Familiarity with dbt, LightDash, or similar semantic/BI layers. Experience designing semantic or metric layers consumed by both analytics and production systems. Experience working in cross-functional teams spanning commercial, finance and product disciplines. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £93,200 - £139,800 📍Spain: €77,600- €116,400 📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800 📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000) 📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000 📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000 Your Home Destination: 🛫  Local market rates and cost of living vary. Your specific range within this band depends on where you’re based, and there’s room to discuss what’s right for the person and the role. We’ll walk through your range together on your first call with our Talent team so we’re aligned for takeoff! 🎒✨

Location: London Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process. The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues. Key Responsibilities: There are many open problems in this space. As a Member of Technical Staff, RL Environments, you will: - Build new RL environments targeting different agentic capabilities and industry areas - Train and evaluate agents in those environments - Make all the pieces work together: tasks, data, tool implementations, and verifiers - Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments - Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality - Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training Qualifications: You may be a good fit if: - You have engineered agents and optimized them for specific industry use cases - You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering - You obsess over measuring agentic capabilities and turning that into a repeatable process - You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs - You have designed and run annotation workflows to surface insights into agent performance and verify data quality - You have built synthetic data pipelines to scale eval and training efforts - You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity - A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY; San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: The LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents. ABOUT THE ROLE: We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient. You’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent. This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments. Location: SF and NYC WHAT YOU’LL DO: - Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks. - Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies. - Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost. - Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions. - Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership. WHAT YOU’LL BRING: - 4+ years of experience in ML/AI research, or a closely related field. - Master’s or Ph.D. in a relevant scientific field. - Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance - Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better. - Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact. - You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly. NICE TO HAVE: - Ph.D. in Machine Learning, Computer Science or Physics. - Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation. - Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs. - Experience optimizing LLM agents for cost, latency, or task efficiency on productions - Experience with model serving, inference optimization, distributed systems, or GPU infrastructure. Compensation Salary Range: $240,000-$280,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Marketing Director, Product Innovation is a product management leader that owns the vision, strategy, and roadmap for PlayStation's global marketing technology products, building platforms that empower thousands of marketers and reach hundreds of millions of players worldwide. You will lead forward-looking, AI-powered marketing capabilities, creating scalable solutions that enable marketers worldwide to deliver better business outcomes.  This role sits at the intersection of marketing operations, data science, analytics, and technology -- increasing efficiency, accelerating execution, and amplifying creativity. We are seeking an experienced Product Manager who is a development partner with Engineering, Data Science and Marketing executives to build marketing products that operate at a global scale. Key Responsibilities: Product Management Partner with Engineering leaders to define platform architecture, prioritize investments, balance technical debt against innovation, and deliver scalable products that transform global marketing capabilities. Define Marketing Technology product vision informed by customer research, market trends, and internal user insights. Conduct product discovery with Marketing teams globally. Develop a prioritized roadmap based on customer value, technical feasibility, business impact, and other considerations. Launch new platform capabilities and measure adoption, engagement, and business outcomes. Drive continuous experimentation using AI-enabled workflows. Assess opportunities for assistive AI and agentic marketing use cases, manage pilot execution, and ensure scalability. Marketing Innovation Bridge business requirements from Marketing to Engineering to create technology solutions. Own the process, the outcomes, and the products. Thought leader and strategic partner to Media, Creative, Brand Marketing, Product Marketing and Business Analytics teams. Demonstrate a solutions-oriented mindset, troubleshooting challenges and adapting plans to meet evolving business and market needs. Balance global alignment with appropriate local and product-level flexibility, reinforcing a one SIE mindset while respecting market and portfolio needs. Strategy & Transformation Lead high-priority initiatives, aligning focus, managing execution, driving business outcomes, and measuring success. Conduct market and feasibility assessments of new tools, trends, and advancements in marketing technology and data enablement. Shape short- and long-term roadmaps, driving long-term scalability while balancing day-to-day improvements. Establish alignment across SIE teams that own or influence the marketing technology stack, driving a single, cohesive product vision and roadmap. Partner with marketing leaders to redesign marketing workflows, processes, decision rights, and operating models. Define measures of success and post-launch KPI tracking. Skills and Qualifications: Bachelor’s degree or equivalent in software engineering, computer science, engineering management or a related field. Master’s degree or equivalent in business, marketing, or related field preferred. 12+ years of product management experience, within marketing solutions or a high-growth technology environment. Built and launched enterprise SaaS products or internal platforms. Owned multi-year product roadmaps. Led cross-functional product teams across Engineering, Design, Data Science, and Business. Experience with AI-powered products, ML platforms, or automation. Strong understanding of experimentation, analytics, APIs, and platform thinking. Experience scaling products used globally. Experience in navigating change and driving global teams through transformation. Experience influencing senior leadership and leading cross-functional teams across multiple regions. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $234,100 — $351,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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 role We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks You may be a good fit if you have: Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience 3+ years of experience specifically in cloud infrastructure financial management Experience working directly with major cloud service providers (AWS, GCP, Azure) MBA or other advanced degree in finance, economics, or business Deep expertise in cloud service provider economics, contract structures,  and pricing models Experience with chip architecture economics and optimization strategies Proficiency with financial modeling tools and languages (SQL, Python, Excel) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $325,000 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: United States Workplace: Remote WHO WE ARE Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond. Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it. We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career. If that kind of challenge gives you energy, we’d love to meet you. Please note: For this role, we are only able to hire in the United States. ABOUT THE ROLE As the search landscape shifts and our market gets more crowded, Help Scout is investing more than ever in paid and performance marketing to accelerate signups, expand brand awareness, and diversify how we reach customers. It's an exciting time to be here. We've got a best-in-market product story, strong creative assets, and stellar copywriting. What we need now is a strategic owner to take our performance marketing motion from early-stage to a durable growth engine that fuels our self-serve, product-led, and sales-assisted growth. You'll report to the VP of Marketing, setting and executing the strategy for how Help Scout invests in paid channels while building deep partnerships across Marketing, Sales, Product, Support, and company leadership. In this role, you will: - Own performance marketing strategy. Set the quarterly and long-term strategy for how paid, lifecycle, and conversion work together to hit the signups number, defining what's needed from each channel and building the plan B when something's off. You'll be the person leadership turns to for the full picture of paid performance. - Move Help Scout upmarket. Own iteration of ad copy, creative, bidding strategy, and budget allocation across paid search and display, and set the bar for how we drive both our horizontal motion for volume and our vertical motion for larger deals. - Build the business case for new channels. Identify and evaluate new channel investments, paid social, affiliate, direct mail, OOH, and drive alignment with leadership on where to place new bets and how to measure them. - Partner on pipeline outcomes. Work closely with Sales and RevOps to connect paid spend to pipeline and revenue, not just top-of-funnel volume, and make sure channel investment decisions reflect what's actually converting downstream. - Partner to grow organic and paid in harmony. Work with content, social, SEO, and AEO to make sure paid and organic acquisition reinforce each other rather than compete for the same ground. - Represent Help Scout's performance marketing point of view. Bring an informed perspective on where the paid landscape is heading, and use that expertise to keep Help Scout ahead of a crowded, competitive market. - Own our presence in AI-driven discovery. As search shifts toward AI overviews and LLM-based answers, you'll define how Help Scout shows up in that landscape alongside traditional paid and organic search. - Shape the future of the function. This is currently an individual contributor role with agency support. You'll build the roadmap for what performance marketing needs to look like over the next 12-18 months, including where headcount should come in as the motion scales. ABOUT YOU - You have at least 7+ years in performance or growth marketing, including experience owning strategy for a B2B SaaS company. - You have significant experience in paid/performance marketing, with a track record of owning strategy for B2B SaaS companies – not just executing campaigns. - You're an expert across paid channels and know the search landscape and the benchmarks that matter (PPC, CPM, ROAS), and you can identify which channels and investments matter most for the business right now. - You have a scrappy, results-driven mindset. You're comfortable working with ambiguity, a modest budget, and a lean marketing team, and you know how to out-creative the competition while also spending in the right way to drive results. - You have strong analytical skills, with deep experience in tools like Google Analytics, Google Tag Manager, and attribution platforms, and you know how to turn data into a clear recommendation for leadership. - You know how to run rapid experimentation and adapt strategy based on what the data tells you – and you have a plan B ready before you need it. - You use AI tools daily to improve your output, and you can point to specific examples where AI changed the speed, quality, or scale of what you delivered. - You have excellent verbal and written communication skills, know how to communicate and build relationships across a remote, async organization, and can present insights and strategy to senior leaders and cross-functional teams. - Bonus: you have experience managing an agency and/or direct reports to execute a paid marketing strategy. COMPANY VALUES HAPPY TO HELP Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community. CRAFT OVER CONVENTION Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight. PROGRESS NOT PERFECTION Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better. OWN THE OUTCOME Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along. Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/. BENEFITS AND PERKS - Competitive salary and an internal, transparent salary formula based on market data - Flexible time off – you choose the holidays and vacations that make sense for you - 12 weeks of fully paid parental leave for all new parents, including adoption and foster care - A home office stipend to help you get set up and productive - A co-working stipend up to $300 a month if you choose to work out of your house - A yearly professional development stipend of $1,800 to help you grow in your craft - If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents. HIRING GUIDELINES: All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements. We do not sponsor visas. Teammates must already be authorized to work from their home country. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

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 Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence. As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec. This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape. WHAT YOU'LL DO - Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing. - Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables. - Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery. - Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged. - Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges. - Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles. - Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains. - Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders. - Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes. - Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting. WHAT WE'RE LOOKING FOR - Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline. - 7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles. - Formal project management qualification (PMP, PRINCE2, or equivalent). - Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes. - Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain. - Excellent communication, stakeholder management, and problem-solving skills. - Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams. - Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting. - Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership. Nice to have: - Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment. - Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up. - Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development. 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: Maputo About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. GiveDirectly Mozambique is growing – delivering large lump sum transfers at scale, developing tech-enabled delivery models, and building the operational infrastructure needed to support a significantly larger program. We're looking for an Operations Lead to strengthen the support systems and staff to operate with excellence at scale. This role will lead procurement, logistics, HR, and administrative functions end-to-end, working closely with the Country Director and collaborating with Programs, Finance, Internal Audit and Safeguarding teams. The ideal candidate combines strong operational expertise – particularly in procurement, logistics, and HR – with the leadership skills to build and mentor a growing team. You thrive in a fast-paced, non-hierarchical environment, are comfortable making decisions with limited precedent, and bring a bias toward action and practical problem-solving. Reports to: Country Director Level: Senior Manager Travel requirement: Regular travel within Mozambique to field offices and program sites. Must be able to travel 1-2 times per year internationally for team retreats. What you'll do Build and lead the Mozambique operations team Lead the GD Moz Operations team, including procurement, logistics, administration, and HR functions. Provide line management to the Office & Procurement Manager and Human Resources Manager, while supporting them to build high-performing, appropriately specialised teams. Create clear roles, responsibilities, and standard operating procedures that enable the team to operate independently and at a high standard. Build the team's capacity over time, driving best practice and coaching managers to develop operations management excellence. Contribute to cost-effective systems for scale Help design and build systems and processes capable of supporting a larger program, identifying future needs (e.g. strategic partnerships, team capacity, technology solutions). Drive measurable improvements in back-office processes, running regular analyses on speed, cost, resilience and controls. Identify and implement opportunities to use AI and other digital solutions to improve the scalability of operations. Leadership to procurement, logistics and administration Oversee Procurement & Administration function through the Office & Procurement Manager, identifying bottlenecks and improving systems. Develop and support implementation of a procurement strategy to ensure an efficient, responsive, high-quality, and resilient supply of goods and services. Lead logistics and fleet management, ensuring efficient and reliable transport and distribution across Mozambique's operations. Oversee budgeting and procurement planning to ensure needs are forecast and operations run smoothly. Use data to conduct analyses to identify opportunities to improve procurement and logistics efficiency and value for money. Support compliance and risk management Proactively identify and mitigate operational risks, maintaining a risk register and putting mitigations in place. Ensure operations meet GiveDirectly's global policy standards and local regulatory requirements, adapting for the Mozambique context. Work with GiveDirectly's Corporate Audit function to support internal audits and build systems for a strong control environment across assets, inventory, fleet, procurement and office security. Closely collaborate with Finance teams for timely, efficient payment processes, facilitate external audits, and ensure compliance. Oversee HR Oversee HR function through the HR Manager, identifying bottlenecks and improving systems. Support the Country Director in implementing and iterating on GiveDirectly Mozambique's people strategy to scale the team while building talent density. Support the HR team to deliver initiatives that strengthen team culture and reinforce GiveDirectly's values as the organisation scales. Drive best practice across recruitment, learning and development, performance management, and HR operations. What you'll bring Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. Significant experience (6+ years) in operations management, with strong expertise in procurement and logistics. A track record of strengthening operational functions – taking systems from ad hoc toward structured, compliant, and scalable. Strong financial and budget management skills, with experience managing operational budgets and driving cost-effectiveness. Experience managing and developing teams, including recruiting and mentoring staff. Experience overseeing or working closely with HR functions (recruitment, performance management, learning and development, culture building). Comfort in a fast-paced and changing environment that involves a degree of ambiguity and requires figuring things out with limited precedent. Highly analytical with a strong attention to detail and a bias toward data-driven decision-making. Familiarity with INGO standards, donor compliance frameworks, internal controls, and audit processes. Strong cross-cultural communication skills and experience working effectively in matrixed organisations. Experience and aptitude leveraging new technologies and AI to advance operational effectiveness. Comfort with an agile and iterative approach. Knowledge of Mozambique's regulatory environment for NGO operations, procurement, and employment law is an advantage. Language Requirement: English fluency required; Portuguese fluency is a plus. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Yerevan, Armenia Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Company Graham Capital Global Research LLC ("Graham Research") is a quantitative research service provider that supports Graham Capital Management, L.P and other affiliated entities. Description Graham Research is seeking a proactive and highly organized Office Manager / HR professional to help support our new office in Armenia. The role will focus on coordinating the setup and ongoing management of the office while supporting local recruitment, hiring, and employee onboarding.  The Armenia office is scheduled to open in Q4 2026. Responsibilities Identifying and coordinating the setup of office space in Armenia Manage day-to-day office operations and logistics, including communicating and enforcing company policy at the discretion of the Director of Office Administration and the Chief Operating Officer. Support recruitment efforts including identifying, sourcing, and engaging prospective candidates Coordinate interviews and serve as a point of contact for candidates throughout the recruitment process, in conjunction with the global HR department Manage the onboarding process for new employees Meet and greet all entrants to the office. Manage incoming calls and transfers. Serve as a key local point of contact for employees and office-related matters Responsible for daily maintenance of office equipment including copy, coffee, and postage machines. Work closely with the executive administration team in other locations to ensure consistency of brand and approach, as well as to assist with additional projects as capacity requires and allows. Requirements Experience in office management / administration, HR, operations or a related role Strong organizational skills and attention to detail Excellent communication and interpersonal skills Ability to manage multiple priorities and work independently Professional discretion when handing confidential information Ability to work independently as well as part of a team Fluency in English and Armenian is required Fluency in Russian is a strong plus This position is based in our office in Yerevan, Armenia

Location: Germany; Neu-Isenburg We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Key Account Manager m/w/d – Commercial Sales Reporting to: Commercial Manager Based in: Neu-Isenburg, Germany with Hybrid working; 3 days Tuesday to Thursday in the office required. Please check your commute before applying. Travel: Required to key retailers. At Hasbro, we create moments of joy, imagination and connection for fans and families around the world. We’re looking for a driven and commercially curious Key Account Manager to join our Neu-Isenburg team and help bring some of the world’s most loved brands to life at retail. In this full-time role, you’ll take ownership of a portfolio of key retail partners, blending strategic account planning, hands-on customer collaboration and sharp market insight. It’s a brilliant opportunity for someone who thrives in a fast-paced, team-focused environment and wants to play a key role in shaping how Hasbro brands show up, stand out and win with consumers across the GSA market. Main Purpose Partner with the GSA (Germany, Switzerland, Austria) Sales team and cross-functional regional departments (e.g. Customer Service, Operations, Demand Planning, Customer Marketing) to put into action approved retail sales strategies, reinforcing the market position of Hasbro brands. Maintain and develop the business with key retail accounts and distributors to improve HET/HIT sales and profit targets. What You'll Do Build, implement and monitor full-year account business plans for HET/HIT, using sell-out analysis, forecasting and phasing to keep plans on track. Achieve profitability goals for HET/HIT in the market, applying profitability models to support decision-making. Embrace and complete the regional brand, channel and commercial strategy. Build effective, trusted business partnerships with key customers at all levels. Collaborate closely with relevant partners on the customer side to ensure smooth daily operations in ordering, delivery, marketing activities, and data maintenance. Maintain positive relationships with our licensors to plan and complete joint retail activations. Manage customer information flow on sales, stocks and payments, and drive execution of new product launches, listings and promotional campaigns. Own the Customer Business Plan from start to finish. Develop it for approval and track its financial impact, including sales objectives, customer allowances, and investment budget. Maintain accurate, SOX-compliant records of all customer agreements. What You'll Be Measured On HET/HIT turnover (value and volume) and market share. Distribution / channel assortment / customer listing targets. Customer profitability. Customer plan and forecast accuracy. The ‘what’ and the ‘how’ of effective business interactions. What You'll Bring Proven experience in key account management, preferably in the toy, entertainment or FMCG industry. Strong skills in building and maintaining customer relationships. Ability to monitor and analyse market activities and trends. Experience developing and implementing business plans. Solid understanding of managing budgets and financial targets. Excellent communication and presentation skills. Ability to work collaboratively within a team to achieve common goals. Proficient in German and English. The base salary range for this position is €66,400 to €95,000 and is eligible for a bonus. The hiring range will vary based on factors such as experience and skills. We Play to Win with our Leadership Principles Knowing is Half the Battle Break the Mold Take Charge Be Legendary Friendship is Magic Matrix of Leadership Apply now and help us build the future of play! #LI-Hybrid Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.