Вакансии

Anthropic ищет Conceptual Reasoning Fellow, который будет заниматься выявлением нерешённых задач и разработкой методов оценки для модели Claude. В обязанности входит формулирование открытых проблем и создание соответствующих тестов для улучшения работы Claude. Кандидат должен обладать знаниями в областях, связанных с философией, экономикой, когнитивными науками, правом, а также иметь опыт работы с reinforcement learning, созданием датасетов и проведением оценок. Работа предполагает удалённый формат, а уровень заработной платы варьируется от 100 000 до 167 000 долларов.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: VP, Revenue Operations Location: Remote US Compensation Range: $190,000 to $210,000 base plus bonus and equity What You’ll Do: Revenue Readiness owns how Huntress prepares revenue teams to perform. As Director of Revenue Readiness, you will set the vision and build the function that turns company priorities, process changes, product launches, and evolving selling expectations into a coordinated readiness strategy. You will lead across the revenue organization to establish the governance, operating standards, learning systems, and program discipline needed to prepare sellers and frontline managers consistently across roles, segments, motions, and geographies. You will shape priorities with senior GTM leaders, make clear investment and sequencing decisions, and lead your team and cross-functional partners through execution. Perfect Imperfection guides how you work. You create enough structure to scale while continuing to learn and improve the model. You Give a $h*t about whether people are genuinely prepared to perform. You bring Candor when ownership or expectations are unclear, build trust by giving more than we take, and demonstrate Warrior Spirit as you lead meaningful organizational change. You are Outcome-Obsessed about building organizational readiness that helps Huntress execute its growth priorities. Responsibilities: Set and lead the global Revenue Readiness vision, strategy, operating model, and multi-year roadmap, aligned with Huntress's growth priorities and the capabilities revenue teams need to execute them. Serve as the senior functional leader for Revenue Readiness, advising GTM executives on organizational preparedness, capability needs, investment priorities, and the risks associated with major business changes. Own the Revenue Readiness portfolio and make decisions about priorities, sequencing, capacity, and resource allocation based on business impact and the organization's ability to absorb change. Build the foundational readiness infrastructure for Huntress, including program intake and prioritization, learning governance, delivery standards, reinforcement expectations, content lifecycle management, platform administration, and measurement. Establish a consistent readiness architecture across new hire onboarding, role-based ramp, frontline manager readiness, major business changes, and ongoing development. Create a scalable process for translating identified business needs, performance gaps, product launches, system changes, and new go-to-market expectations into structured readiness programs. Partner with Sales Ops Business Partners to understand prioritized business needs and define the capabilities, behaviors, and measures of preparedness required to address them. Establish clear ownership across Revenue Readiness, Sales Ops Business Partners, Sales Leaders, Product Marketing, GTM Systems, Technical Sales, and other subject matter experts. Revenue Readiness owns program architecture and operationalization, domain experts own subject matter accuracy, and Sales Leaders own coaching, reinforcement, and team execution. Lead the planning and orchestration of company-level readiness initiatives, aligning senior stakeholders on objectives, ownership, timing, reinforcement, and measures of success. Set direction and accountability for the operational health of the learning ecosystem, including the LMS, learning calendars, program records, learner communications, reporting, and content standards. Develop scalable readiness programs for Huntress selling practices and workflows, including MEDDPICC, Digital Sales Rooms, Mutual Action Plans, and AI-supported ways of working. Define how Huntress measures readiness across participation, preparedness, competency, adoption, and behavior change. Use those insights to improve programs and guide future investment while maintaining Sales Leader accountability for business performance. Build, lead, and develop the Revenue Readiness team. Establish the organizational structure, capabilities, role clarity, operating rhythms, and performance expectations needed to support a growing global revenue organization. Represent Revenue Readiness in senior GTM planning and decision-making, ensuring major initiatives account for the time, support, and reinforcement teams need to adopt change successfully. What You Bring To The Team: You have 10+ years of experience across revenue readiness, sales enablement, learning operations, sales effectiveness, or related go-to-market functions, including 5+ years leading teams or major functional programs. You have led a revenue readiness, enablement, or sales effectiveness function in a scaling B2B SaaS organization and have built or significantly evolved its strategy, team, infrastructure, and operating model. You have influenced senior executives, shaped cross-functional priorities, and made investment and resource tradeoffs across a portfolio of competing business needs. You understand how to build organizational readiness and assess whether teams are prepared to execute, reinforce new expectations, and sustain change. You have designed scalable systems for program intake, prioritization, learning operations, onboarding, reinforcement, content governance, and readiness measurement. You are an effective cross-functional operator who can bring together business leaders, operational partners, systems teams, and subject matter experts while maintaining clear ownership. You can establish clear roles and decision rights across Revenue Readiness, Sales Ops Business Partners, Sales Leaders, Product Marketing, GTM Systems, Technical Sales, and other contributors. You understand B2B SaaS selling across multiple roles, segments, motions, and levels of complexity, including the critical role frontline managers play in coaching, reinforcement, inspection, and accountability. You can lead a team and senior stakeholders through meaningful organizational change, creating clarity, building alignment, and establishing the priorities, governance, and operating practices needed for a scalable Revenue Readiness function. You use data and judgment to evaluate preparedness, identify readiness risks, improve programs, and communicate investment tradeoffs to senior leaders. You can orchestrate multi-step AI workflows and reusable systems that improve analysis, program development, learning operations, prioritization, and decision quality while applying sound judgment to the outputs. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots. You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors. You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.   WHAT YOU'LL DO - Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors. - Develop motion primitives using different learning based generative models. - Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control. - Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo. - Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data. - Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots. - Optimize policy inference and training systems for the performance and latency requirements of real-time control. - Integrate learned policies into the broader robot control and autonomy stack.   WHAT WE'RE LOOKING FOR - BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field. - 3+ years of experience developing machine learning systems in industry or research. - Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging. - Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning. - Strong Python and PyTorch experience. - Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms. - Ability to reason about learning algorithms in the context of dynamics, control, and physical systems. Nice to have: - Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems. - Experience with whole-body control, locomotion, motion imitation, or loco-manipulation. - Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap. - Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations. - Experience training policies at scale across large numbers of simulated environments. - Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.   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.

Perplexity is looking for a Machine Learning Engineer to develop search, retrieval, LLM training, and multi-agent systems.

Thinking Machines is looking for an Infrastructure Research Engineer to build and optimize scalable reinforcement-learning training systems, pipelines, observability, and evaluation infrastructure.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Claude Partner Network (CPN) Reseller track lets authorized partners sell Claude directly to end customers. These partners bring Claude into accounts that Anthropic can't reach alone, and they need marketing that helps them build a real Claude practice: campaigns they can run with their own teams, funding they can put to work, and proof that moves them up through the partner tiers. This is a foundational, first-in-seat role with wide scope. You'll be the first dedicated partner marketer for the reseller track, and you'll lead it globally. You'll set its marketing strategy, define the standards and playbooks partners run against, and build the tier-advancement path from the ground up. You'll work across regions and with a network of agency partners to deliver programs at global scale. You'll shape how reseller marketing fits into Anthropic's broader partner strategy, working with Partnerships, Commercial Operations, Channel Account Managers, Partner Operations, Customer Marketing, and Communications to make sure reseller activity and Anthropic's direct sales point in the same direction. You'll also set the bar for the marketers who join the practice as it grows. Key responsibilities Set the marketing strategy for the reseller track, including priorities, investment choices, and quarterly and annual plans that connect partner activity to registered pipeline and reseller revenue Define the reseller marketing playbook and co-marketing standards, and keep them current as the program launches and expands Represent the partner marketing perspective in program design, working with Partnerships, Commercial Operations, and Legal on how benefits, MDF, and tier criteria will work in practice Build joint marketing plan templates for reseller partners, including campaign calendars and success metrics Source, select, and manage the agency partners that support reseller programs globally, including scope, budgets, quality standards, and performance reviews, and build a regional roster that can scale as the program expands Run partner-led campaigns with those agencies, using co-branded and localized kits for each market, and help partners adapt them for their own buyers Own partner marketing funds (MDF) end to end: help partners build proposals, track approvals and documentation, and connect every funded activity to registered pipeline Help partners reach their next tier by planning the customer stories, certification pushes, and public proof points each tier requires, on a timeline that fits the January and July tier reviews Turn partner wins into customer stories with Customer Marketing, from interview through partner and Anthropic approvals Coordinate joint announcements and press with Anthropic Communications, managing review timelines and holding partner copy to Anthropic's messaging and brand standards Partner with Channel Account Managers and the field on audience and account targeting, so reseller campaigns extend Anthropic’s reach into new customers and partner and direct motions reinforce each other Define how reseller marketing success is measured: set targets and KPIs for pipeline, reseller revenue, and campaign ROI, build the reporting, and use results to decide where to invest and what to change Report on partner-sourced pipeline and reseller revenue influence, with 30/60/90-day tracking on every activation Keep reseller partners informed through the CPN monthly broadcast and newsletter, and bring partner needs and results back into program planning Minimum qualifications Have owned marketing strategy for a partner or channel program, setting priorities and investment decisions rather than only executing against them Have built and run co-marketing programs with channel, reseller, or distribution partners, including partner-funded budgets (MDF, co-op, or similar) and ROI reporting Have sourced and managed agencies or contractors across multiple regions, including scoping work, managing budgets, and holding quality standards Have run marketing programs across multiple international markets Understand indirect sales motions, including how partners find, register, and close deals, and can write marketing that reaches partner sellers as well as end customers Can build joint plans and value propositions that articulate clear business outcomes for customers Have defined success measures for a partner or channel program and used the results to change investment decisions Are skilled at tracking program performance in a CRM or equivalent system, and can turn that data into clear recommendations Write clearly and precisely, and can hold partner-produced copy to brand and approval standards Build trusted relationships with partner marketing and sales teams, and can move priorities forward with partners you don't manage Can make and defend decisions with incomplete data, and know when to escalate Are highly organized and can run several partner plans at once without dropping quality Are comfortable building new processes from scratch, in an environment where the playbook is still being written Take ownership of outcomes and step in wherever the work needs you Care about the societal impacts of AI and are excited about enabling organizations to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Have launched or scaled a partner program from its early stages, including tier design, benefits, and promotion criteria Have produced partner-led customer stories, including managing approvals and public announcement timelines Have experience with cloud marketplace reseller motions, such as private offers or co-sell programs Have localized marketing content and campaigns for multiple international markets Have established relationships with resellers, distributors, or systems integrators Have experience with partner relationship management tools and Salesforce partner data Understand enterprise AI use cases across industries and functions Have set standards for or mentored other marketers, formally or informally Have used Claude or other AI tools to scale their own marketing work 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: $320,000 — $400,000 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: Ireland - Dublin Office Workplace: Hybrid At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is on a mission to make the world more productive. As Manager, Commercial Sales - EMEA, you’ll lead a frontline team of Account Executives helping companies across the region bring tasks, docs, chat, AI, and workflows into one platform. This role matters because ClickUp is continuing to scale its commercial motion in EMEA and needs a hands-on leader who can turn coaching, operating rigor, and customer empathy into more consistent revenue performance.   You’ll be a true player-coach: someone who can inspect pipeline, improve deal execution, and develop sellers while building a team culture that is ambitious, inclusive, and #. You’ll also work closely with Growth, Marketing, Operations, and Product to improve how the team creates pipeline, wins the right customers, and delivers a strong buying experience.   Mission   Lead a high-performing commercial sales team across EMEA that consistently turns qualified pipeline into durable revenue while raising the bar on coaching, forecast accuracy, and customer value.   What You’ll Own   - Lead, coach, and develop a team of Account Executives focused on the commercial segment across EMEA - Drive pipeline generation, deal execution, and consistent attainment of team revenue targets - Run a strong operating cadence across forecast calls, pipeline inspection, deal reviews, and rep development - Foster a high-performance, fun, and inclusive environment where sellers are motivated to grow and exceed expectations - Improve the scalability of the sales motion through better process, cleaner data, clearer performance metrics, and repeatable best practices - Partner closely with Growth, Marketing, Operations, and Product to improve conversion, support key accounts, and remove friction in the customer journey - Lead with a customer-first mindset and reinforce thoughtful, value-based selling across the team - Report on team performance, pipeline health, forecast accuracy, and improvement opportunities to senior leadership   Required Qualifications   - Significant experience in B2B SaaS sales, including experience leading frontline commercial or mid-market sellers - Proven track record coaching reps to stronger pipeline quality, better deal execution, and consistent quota attainment - Experience managing forecast discipline, CRM hygiene, and sales operating rhythms in a fast-moving environment - Strong understanding of selling into EMEA markets and how regional nuance shapes hiring, coaching, and execution - Excellent communication, performance-management, and relationship-building skills - Analytical and data-driven approach to diagnosing team performance and improving outcomes - Ability to work cross-functionally with partners across go-to-market, operations, and product teams   Preferred Qualifications   - Experience in a high-growth B2B SaaS company - Familiarity with commercial new-business, inbound, outbound, and expansion motions - Experience building or improving onboarding, enablement, and rep development programs - Familiarity with structured sales methodologies such as MEDDIC - Experience leading teams across multiple EMEA countries or time zones - Bachelor’s degree or equivalent practical experience   Location & Travel   - This role is aligned to Ireland and supports the broader EMEA region - Candidates should be able to work effectively across EMEA time zones and collaborate with global cross-functional partners - Travel may be expected for team connection, customer meetings, and key planning moments as needed #LI-SO1 #Hybrid Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. Role Overview We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that make Backblaze B2 Cloud Storage a natural part of how AI workflows are constructed and deployed. This is a front-row seat to the AI ecosystem as it evolves, working directly with the latest AI startups, open source frameworks, and developer tools. This role is expected to actively use the latest AI coding agents and tools as part of everyday development work. The primary objective is to build and contribute production-quality open source integrations, new frameworks, and end-to-end example applications that demonstrate how B2 supports AI workflows. A practical understanding of AI workflows, agent-based systems, and data orchestration is required. This role demands continuous learning and hands-on testing of emerging AI frameworks and APIs as they mature, and is best suited for someone genuinely excited to work at the forefront of AI development. What You’ll Be Doing Use AI coding agents to build coding harnesses to accelerate the development, testing, and maintenance of public and internal applications, SDKs, notebooks, and reference implementations that demonstrate AI and cloud storage best practices. Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust. Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance. Contribute to open source projects through code contributions, issue triage, reviews, and ongoing maintenance. Ensure all open source assets meet high standards for testing, documentation, reproducibility, and developer usability. Maintain clean, well-structured GitHub repositories intended for external adoption and community contribution. Collaborate with Product and QA to ensure integrations reflect real customer AI workflows and Backblaze B2 usage patterns. Tools and Technologies Languages: Python, TypeScript, Go, JavaScript and other open source languages Backblaze B2 SDKs and REST APIs Open source AI frameworks and tooling AI coding agents, such as Claude Code, Antigravity and Codex Jupyter and Google Colab notebooks GitHub, pytest, CI pipelines What We’re Looking For Software engineer with experience contributing to open source projects in one or more widely used open source languages. Comfortable owning and maintaining public repositories with external users and contributors. Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems. Experience writing production-quality code with strong testing and documentation practices. Strong written communication skills with a focus on developer experience and adoption. Why Backblaze Build open source software used by developers worldwide. Work at the intersection of AI, data, and cloud storage. Collaborate with experienced engineering, product, and QA teams. Competitive compensation and benefits. Remote-first culture supporting work-life balance. At this point, we hope you are excited about the opportunity. Even if you do not meet every requirement, we encourage you to apply. Learning, development, and growth are important parts of our culture. We are eager to meet people who believe in our mission and can contribute to our team in different ways. We want employees to feel comfortable bringing their full selves to work and doing their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are central to those values. We are committed to fostering a workplace where employees experience a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socioeconomic status, ability, veteran status, or education. We believe a diverse workforce helps us better serve customers around the world and reinforces our commitment to doing the right thing. Backblaze is proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please review the Backblaze Employee Privacy Notice . #LATAM

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a Senior Technical Program Manager. Role Overview: We are seeking a Senior Technical Program Manager to join a growing Security team, with a focus on program delivery, driving portfolio management and operating model practices for Backblaze. Key Responsibilities: Lead end-to-end planning and execution of enterprise programs from initiation through delivery Communicate technical concepts and program status clearly to both technical teams and non-technical stakeholders Develop and maintain detailed program plans, timelines, budgets, and resource allocation across multiple concurrent initiatives Identify, track, and mitigate program risks and dependencies, escalating blockers to leadership with clear options and recommendations Drive cross-functional coordination between engineering, product, legal, and third-party vendors to ensure security controls are implemented on schedule Establish and report on program goals, dashboards, and status updates for executive and board-level audiences Support incident response coordination, including post-incident reviews and follow-up action tracking Foster a culture of transparency and trust, apply lean value-driven approach, manage by influence, support and empower technical teams through servant leadership In partnership with other TPMs, participate in implementation of continuous cross-functional process improvement initiatives Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience); Master's degree a plus 8+ years of technical program management experience Strong understanding of program management methodologies. Ability to adapt agile management principles to a variety of development environments ScrumMaster certification a plus Proven ability to manage multiple complex, cross-functional programs simultaneously in a fast-paced environment Excellent written and verbal communication skills, with the ability to translate technical risk into business impact for executive audiences Strong analytical and risk-assessment skills, with experience using program management and ticketing tools Demonstrated ability to build trust and influence without direct authority across engineering, legal, and executive teams High attention to detail, sound judgment under pressure, and comfort operating with ambiguity during active incidents Experience with Atlassian & Google product suites a plus Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US- based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $130,000 - $150,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s 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, socio- economic 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. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on GitLab's Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on. Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on. These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment. What you do Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead Bring systems built by one engineer to team ownership through documentation, tests, and shared review Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work. Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them. Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still. Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision Helpful experience Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings Experience with performance optimization at scale Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience with containerized workflows and CI/CD (we use Docker heavily) About the team The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible. We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff AI/ML Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a staff individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments. - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an HR Business Partner, you will support managers and employees throughout the employee lifecycle while helping Mistral AI build scalable people practices as the company grows. You will be a trusted partner, providing guidance on people matters and helping leaders make informed decisions. You will work across both day-to-day people topics and longer-term initiatives, from employee relations and career development to performance reviews, learning, and talent retention. You will play a key role in creating a consistent employee experience across multiple countries while ensuring compliance with local employment regulations. You will also help shape how the People team operates by improving policies, processes, and programs that support the business and reinforce Mistral AI's culture.   WHAT YOU WILL DO - Partner with managers to provide trusted guidance on people-related matters. - Support a positive and productive work environment by proactively addressing employee concerns and engagement. - Use People metrics to inform decisions and provide insights to managers and leadership. - Champion and reinforce Mistral AI's culture across the organization. - Develop and evolve talent retention initiatives that support long-term employee growth. - Design and improve learning, career development, and performance review programs. - Build scalable People policies and processes that promote sustainable ways of working, including work-life balance.   WHAT WE'RE LOOKING FOR - Bachelor's or Master's degree in Human Resources, Business Administration, or a related field. - 5–8 years of progressive human resources experience, with most of that experience gained in a startup or high-growth environment. - Experience supporting employee populations across multiple countries, particularly in EMEA, with a strong understanding of French employment law and human resources practices. - Experience managing the employee lifecycle, from onboarding through retention and offboarding. - Proven ability to develop and implement human resources strategies that support business goals and deliver measurable outcomes. - Excellent communication and interpersonal skills, with the ability to build trusted relationships across the organization. - Strong analytical and problem-solving skills. - A hands-on approach, with experience improving human resources processes to increase efficiency, enhance the employee experience, and maintain compliance with employment regulations. - A builder mindset with a practical approach to creating scalable people practices. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

-Define the long-term technical roadmap for Growth and Engagement ML systems, ensuring scalability, reliability, and measurable business impact. -Architect and deploy production-grade ML pipelines and real-time decisioning systems that power personalization, notification dispatch, and onboarding flows.

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 This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. QUALIFICATIONS - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement PREFERRED QUALIFICATIONS - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment 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: Norwalk, Connecticut, United States 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. Description Graham is seeking an early-career developer to join our Quantitative Trading and Research Operations team, which sits within our broader Quantitative Strategies department. The successful candidate will support the  Quantitative Strategies department by developing, maintaining, and refactoring code used in research and trading, with a particular focus on improving the reliability and maintainability of existing programs. This individual will work closely with researchers and follow established development and code review processes, including regular interaction with the firm’s Quality Assurance Committee. The ideal candidate enjoys hands-on development, troubleshooting, and improving existing systems within an evolving production environment. Responsibilities Partner with the Quantitative Strategies department to develop, maintain, and improve code supporting research and trading activities Review, refactor, and update legacy programs to meet established coding standards and improve reliability, maintainability, and computational performance Provide ongoing maintenance and support for both existing systems and newly developed tools Develop and maintain test cases to validate code changes and help prevent errors and system failures Follow established development and code review processes, working regularly with the Quality Assurance Committee and incorporating feedback from senior leaders across Technology and Data Analyze system financial and computational performance and execute trades Support engineering initiatives related to trading system implementation, computational resource utilization, build and deployment processes, containerization, and evaluation of cloud computing Requirements Bachelor's degree in computer science or a related field Strong Python skills Strong program design fundamentals and refactoring experience Knowledge of CI/CD process Comfortable working in the command line on Unix Comfortable using version control, such as Git General familiarity with PowerShell Familiarity with SQL and other enterprise database structures Excellent interpersonal and communication skills Coursework in cybersecurity is a plus Familiarity with cloud compute and general infrastructure design is a plus Knowledge of R and MATLAB and familiarity with writing test cases is a plus Ability to work independently and collaboratively in a dynamic, fast-paced environment This role requires commuting into our Rowayton, CT office Mondays through Fridays. Base Salary Range The anticipated salary range for this position is $90,000 to $125,000.  The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles. pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Location: Damascus, Syria Toters is an on-demand last-mile delivery service that enables customers to browse products offered by their favorite local stores, and place orders to have them delivered on-demand through a mobile application. Initially, Toters plans on addressing the restaurant and grocery markets. In this role, you’ll be part of the HR Team, responsible for the daily and administrative HR duties. Your roll will be assisting the HR team with recruitment, record maintenance, and provide clerical support to all employees. Job description: 1. Recruitment & Onboarding Develop and implement recruitment strategies to attract qualified talent across different functions. Coordinate and conduct interviews, facilitate candidate assessments, and support the end-to-end recruitment process. Manage the onboarding process for new hires, ensuring a smooth and positive employee experience. Work closely with hiring managers and HR team members to understand hiring needs and maintain an effective candidate pipeline. Ensure all required onboarding documentation is completed and employee records are accurately maintained. 2. Employee Relations Serve as a point of contact for employees regarding HR-related inquiries, concerns, and requests. Support the resolution of employee concerns and workplace issues in a fair, timely, and professional manner. Promote open communication and contribute to a positive employee experience. Support the implementation of HR policies and procedures across the organization. 3. HR Administration & Compliance Ensure HR processes and practices comply with applicable labor laws and company policies. Manage employee documentation, including employment contracts, NSSF registrations, and other required HR records. Maintain accurate and up-to-date employee files and HR systems. Prepare employment letters, HR documents, and other employee-related requests. Support HR reporting, audits, and administrative processes. Stay informed about changes in labor regulations and support the implementation of required updates. 4. Payroll & Employee Records Support Support payroll processes by ensuring accurate and timely updates of employee information. Coordinate with relevant teams to ensure employee data, attendance, and other payroll-related information are accurately maintained. Address employee inquiries related to HR records and payroll-related documentation. 5. Culture & Engagement Support the planning and execution of employee engagement initiatives and company events. Promote and reinforce company values and culture across the organization. Contribute to initiatives that enhance employee engagement and workplace experience. Qualifications Bachelor's degree in Human Resources, Business Administration, or a related field. 3–4 years of experience in Human Resources. Strong understanding of HR practices, processes, and labor regulations. Excellent communication and interpersonal skills, with the ability to interact effectively with employees at all levels. Strong organizational skills and attention to detail, with the ability to manage multiple tasks and prioritize workload effectively. High level of integrity and professionalism in handling confidential information.

Location: Tokyo, Japan About Our Client Our client is a leading global provider of technology-enabled outsourcing and business solutions, supporting organizations and customers across multiple markets worldwide. The company operates across a broad international network and places strong emphasis on operational excellence, technology, and service quality. Job Description The Manager - Human Resources will be responsible for executing HR initiatives to achieve Employer of Choice status and facilitating HR planning in collaboration with the Regional HR Head. Additionally, this role involves ensuring the integration of HR strategy to foster a performance-driven culture and collaborating with Business/Function Heads on retention strategies and identifying capability gaps. Key Responsibilities HR Strategy & Culture Enhancement Play a pivotal role in planning and executing Human Resources initiatives aligned with sustainability targets and organizational goals. Refine HR policies to strengthen organizational culture and reinforce values. Collaborate with Business/Function Heads on retention strategies and address capability gaps. Develop and execute employee engagement and motivation programs in collaboration with the Talent Management team. Lead initiatives to foster clear and effective employee communication through employee communication programs. Proactively address employee concerns to prevent disruptions, promoting a positive work environment. Recruitment, Talent Management & Development Plan and implement recruitment strategies aligned with business objectives and oversee the hiring of fixed-term employees and trainees. Assess manpower needs, exploring internal and external sourcing options, and create innovative assessment methods for optimal candidate selection. Oversee Talent Management initiatives to retain top talent and support succession planning. Design and apply progressive selection tools to fulfill manpower needs. Conduct coaching sessions and implement engagement initiatives across the region to ensure employee growth and satisfaction. Guide Managers on the performance assessment process and support them in delivering constructive feedback. Compliance, Recognition & Organizational Development Establish and monitor Reward & Recognition programs, tracking their effectiveness and alignment with organizational objectives. Collaborate with key stakeholders on organizational development initiatives. Coordinate employee satisfaction surveys, implement recommendations, and maintain adherence to HR policies, regulations, and statutory requirements. Ensure compliance with the company's HR guidelines and support processes that lead to positive audit outcomes. Sustainability Promote judicious use of natural resources. Adhere to the organization's environment, health, and safety policies, objectives, and guidelines. Anti-Bribery Management Systems (ABMS) Follow the roles and responsibilities prescribed in the company's Anti-Bribery Management Systems manual. Understand ethical standards and the importance of integrity in business practices. Identify and evaluate risks related to bribery in various business contexts. Key Requirements 5–8 years of relevant work experience in a Human Resources role. Graduate/postgraduate degree or globally equivalent qualification. Experience with SAP SuccessFactors and ADP is mandatory. Behavioral Competencies Communication Quality and Service Orientation Delivering Results Teamwork and Collaboration Digital Fluency Diversity, Equity, and Inclusion Orientation Personal and Professional Development Leadership Entrepreneurship Functional Competencies Talent Acquisition Employee Life Cycle Management Employee Engagement Equal Opportunity Our client is committed to providing equal employment opportunities and fostering an inclusive workplace where individuals from diverse backgrounds are welcomed and supported.

Location: Singapore Workplace: Remote ABOUT THE TEAM Our Global Mobility & Immigration team supports the movement of exceptional talent across borders, enabling OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. We partner closely with Recruiting, Legal, HR, and external vendors to deliver a seamless and principled immigration experience. ABOUT THE ROLE We’re looking for a highly organized, detail-oriented Immigration Specialist to support day-to-day global immigration operations. This is a hands-on, execution-focused role that partners closely with Global Mobility, Legal, Recruiting, and external immigration vendors to ensure cases move accurately and on time. This role is best suited for someone who thrives in high-volume environments, enjoys operational work, and takes pride in keeping processes running smoothly for employees and stakeholders. This role reports to our Global Immigration Lead. YOUR RESPONSIBILITIES: - Own and oversee the end-to-end lifecycle of global. immigration cases, ensuring accurate, timely, and compliant execution. - Act as a trusted point of contact and subject-matter resource for employees, recruiters, and internal partners on global immigration matters and business travel immigration. - Collaborate closely with external immigration vendors and lead operational support for key visa programs, flagging risks and exceptions early. - Maintain audit-ready compliance records with a strong focus on data integrity. - Ensure high-quality immigration data across HRIS and recruiting systems, identifying gaps and driving corrections. - Triage and prioritize case workflows and inbound requests, escalating issues thoughtfully and recommending solutions. - Partner cross-functionally (Recruiting, HR, Payroll, Legal) to support compliant onboarding and ongoing employment. - Reinforce and continuously improve immigration processes, controls, and playbooks. WE’RE SEEKING: - 8+ years of immigration operations and coordination experience with global immigration - Working knowledge of common visa types in Singapore, UK, & Ireland - Familiarity with right to work, and immigration compliance requirements. - Experience working with Workday, and immigration case management systems and other ticketing tools. - Strong attention to detail and comfort handling confidential information. - Ability to manage multiple tasks simultaneously in a fast-paced, high-volume environment. - Clear communicator who follows through reliably and flags issues early.