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

Location: Canada - Remote Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Istanbul, Turkey Job Description P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our AI-powered network automation products and services enable mobile operators to accelerate digital network transformation through intelligent automation, advanced analytics, and closed-loop optimization, delivering superior network quality, greater operational efficiency, and readiness for 5G and beyond. Our solutions have been successfully deployed by 87 mobile network operators across 60 countries worldwide. We are looking for a Bids and Proposal Expert to join our challenging, multinational, and multicultural work environment. This is an opportunity to work with leading telecom operators worldwide and help redefine the mobile experience by contributing to our research and development efforts. Responsibilities Manage the end-to-end bid process for existing and prospective clients, ensuring complete, compliant, high-quality submissions are delivered on time and within budget. Coordinate the production of bid proposals, including P&L studies, contract responses, draft development, milestone tracking, final formatting, printing, binding, shipment, distribution, and archiving. Lead day-to-day bid activities, developing a strong understanding of client needs and clearly articulating how P.I. Works can address them. Work closely with core bid teams and engage subject matter experts as needed to develop accurate and compelling proposal responses. Analyze RFP requirements, evaluate compliance with company standards, and coordinate tailored responses with relevant stakeholders. Collaborate with Sales, Project Management, Finance, Legal, and other stakeholders to ensure timely and accurate completion of all bid-related components, including bid documents, forms, bid bonds, insurance requests, and final proposals. Support the department manager in driving continuous process improvements to strengthen competitive bids, enhance RFP response management, and maintain up-to-date databases, modular content, and proposal boilerplate materials. Requirements Bachelor’s degree in Engineering, Business Administration, Management, or a related field. 5–8 years of experience in bid management, proposal management, contracts, sales operations, or a similar function. Experience negotiating contract terms and supporting commercial discussions. Experience developing pricing schedules and coordinating commercial inputs. Experience in the telecommunications sector. Advanced proficiency in Microsoft Office applications. Excellent command of written and spoken English. Strong analytical, negotiation, communication, and presentation skills. Knowledge of risk and opportunity management. Ability to work effectively in a deadline-driven environment. Strong verbal and written communication skills, with the ability to engage stakeholders at all levels of the organization. Strong problem-solving skills and a proactive mindset. Collaborative team player with the ability to work independently when needed. Excellent time management skills, efficiency, and ability to work with minimal supervision.

Location: San Francisco, CA | Washington, DC 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 hiring a Field Marketing Lead dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Responsibilities Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies Minimum qualifications Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Preferred qualifications 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. AI/ML field marketing experience Existing relationships with public sector associations and research institutions Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands; Berlin, Germany; Remote - Europe; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re building Nebius Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability. Your responsibilities will include: Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across public API, routing, performance, reliability and enterprise enablement features. Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on. Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise. Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets. We expect you to have: Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams. Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them. Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes. B2B/enterprise experience with technical buyers. Comfort with ambiguity and shifting scope. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary:    Legal professionals spend millions of hours every year reviewing contracts, drafting documents, researching complex questions, and making high-stakes decisions. We're building AI that fundamentally changes how that work gets done, combining deep legal reasoning with thoughtful product design to create experiences professionals trust every day. We're looking for a Senior Product Designer to help define how professionals collaborate with AI. You'll transform complex legal workflows into simple, elegant experiences and invent interaction patterns that don't yet have established conventions. Many of the experiences you'll design simply don't exist yet. We're a small, senior team that ships quickly, challenges each other's thinking, and cares deeply about craft. We move quickly, iterate constantly, and maintain an exceptionally high bar for the products we build. This is an execution-first role. If you enjoy solving difficult product problems, sweating the details, and shipping products that fundamentally change how people work, we'd love to talk. What You'll Do: Design end-to-end product experiences from early concepts through polished implementation. Turn ambiguous product problems into intuitive workflows, interactions, and interfaces. Design AI-native experiences and define new interaction patterns for researching, drafting, reviewing, and negotiating with AI. Create high-fidelity prototypes to explore ideas, validate concepts, and communicate product direction. Use AI throughout your design workflow to explore ideas, iterate rapidly, and accelerate execution. Collaborate closely with engineers and product managers throughout the product lifecycle to build thoughtful, high-quality experiences. Contribute to and evolve our design system, interaction patterns, and overall product quality. Champion simplicity, clarity, and craftsmanship in every detail. Raise the design bar through thoughtful critique and exceptional attention to detail. What You'll Need: 5+ years designing digital products with a portfolio demonstrating exceptional product thinking and shipped work. Exceptional product taste, interaction design skills, and visual craft. Experience designing AI products or AI-powered features used in production. Deep understanding of how AI changes user behavior, workflows, and interface design. Uses AI fluently throughout the design process to explore more ideas, iterate faster, and improve execution. Ability to simplify complex workflows into intuitive user experiences. Ability to move comfortably between product strategy and meticulous execution. Strong sense of urgency and bias toward shipping. You make thoughtful decisions without waiting for perfect information. Relentlessly resourceful. You take ownership, figure things out, and drive work forward. Ability to work collaboratively with product managers and engineers throughout the full product lifecycle, from discovery and iteration through implementation, rather than simply handing off designs. Comfortable working in fast-moving environments with high ownership and minimal process. Strong communication skills. Experience building and evolving design systems. Nice to Have Experience designing enterprise, legal, or other complex professional software. Experience conducting lightweight user research to validate designs. Experience with rapid prototyping tools beyond traditional design software. Compensation Information: $175,000+    The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.     Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com         Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for multiple passionate Software Developers to join our team. You will develop critical software that powers the collection, transformation, and delivery of market data used by our trading systems. As a member of our team, you will be surrounded by cutting-edge technology and senior technologists providing you with the best possible environment to succeed How you will make an impact: Building scalable and performant software using software engineering best practices. Facilitating discussions on code implementation, testing, software architecture best practices Collaborating with operations and trading teams to ensure production systems are in optimal condition. Researching the latest technologies to enhance our trading systems. Driving projects and leading new initiatives Actively engaging with others on the development team to resolve challenging design and coding issues Working with complex real-time market data while ensuring accuracy, completeness, and consistency. Partnering with traders to explain technical challenges, trade-offs, and potential solutions, enabling informed decision-making. What you bring to the team: A Bachelor’s or a Master’s degree in Computer Science, Software Engineering or equivalent 2 to 10 years of experience building software systems Solid understanding of software engineering principles and best practices Strong knowledge and experience in Python or C++. Experience in both is an asset. Passion for financial markets and an interest in global events and how they influence market behaviour. Exceptional attention to detail with a strong focus on data quality and correctness. Excellent verbal and written communication skills, with the ability to clearly explain technical concepts and trade-offs to both technical and non-technical stakeholders. Experience with any of these technologies is an asset: Redis, RabbitMQ, GraphQL, Kafka, MongoDB, ELK, Docker, TCP, HTTP, Regex. Experience with relational databases is an asset For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-AA1

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior Software Engineer Location: Bangalore, India · In-office · Hybrid Experience: 6–8 years About the Role We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end. You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale. This is a high-ownership role for an engineer who combines strong distributed-systems depth with sound design judgment and an AI-forward mindset. What You'll Do Own end-to-end delivery of features and services — from design through production operation. Design scalable, reliable distributed systems and drive key technical decisions. Debug and resolve production issues; improve reliability and performance. Raise code quality and design standards through thorough, constructive reviews. Mentor junior engineers and contribute to a strong engineering culture. Collaborate cross-functionally with product, design, and other teams. What We're Looking For 6–8 years of software engineering experience, ideally at scalable product companies. Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers. Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure). Solid code quality, testing, and design practices. A track record with measurable scale, reliability improvements, and architecture participation. Strong cross-functional collaboration and clear communication. A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily. Nice to Have Microservices / platform engineering experience. AI/LLM platform integrations. We are an equal-opportunity employer. We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. The Role GiveWell is hiring a Senior Philanthropy Advisor to manage and advise a portfolio of our largest donors. This role will help shape our relationship strategy with donors giving seven- to ten-figure gifts and will have significant influence over how GiveWell’s philanthropy function grows and evolves. You will manage and advise a portfolio of our largest donors, serve as a leader within our philanthropy team, and be a thought partner to our senior leadership team. Why We’re Hiring Now Many of our donors are analytical, quantitative thinkers, and their deep engagement with our research makes our work better. We've built a philanthropy team to match. We take the time to understand what our donors value, we treat their giving as a true partnership, and we invest in learning our own research deeply so we can help donors do the same. We measure our relationships in years, not quarters. We face a historic opportunity to scale giving to high-impact causes and to save and improve lives around the world. To meet this moment, we are engaging a new generation of major philanthropists, while strengthening the partnerships model that has made our existing donor relationships so productive. We believe that deepening our philanthropic partnerships with our current and future major donors is one of the highest-leverage actions GiveWell can take to ensure significantly more funding for some of the world’s most cost-effective programs. What You’ll Do Build long-term, trust-based relationships with major donors that deepen donors’ understanding of GiveWell’s work. Proactively identify the insights, data points, and narratives from GiveWell’s research that are most relevant to major donor decision-making. Drive and lead team-wide initiatives and significant projects to make our work accessible, from learning journey design, playbooks, and systems to donor events and donor communications. Translate GiveWell’s research into original donor-facing content that makes our work accessible to analytically sophisticated, time-poor major donors. Serve as a strategic advisor to GiveWell’s leadership. Drive improvements to our philanthropy culture, systems, and processes to improve how our philanthropy function operates and scales. About You You understand how people translate their values into action. You're comfortable connecting with a wide range of people, from the donor who wants to deeply understand every assumption in our model to the donor who wants a high-trust, low-friction recommendation they can act on quickly, and everyone in between. Your background includes significant experience earning trust with discerning, analytic people, where you are a partner in somebody else's high-stakes decisions. You've experienced navigating this, not by telling them what to do, but by helping them think clearly and get the right information to support what they're trying to accomplish. You know how to help people navigate doubt and complexity. You are comfortable both bringing a clear point of view (for example, by saying, "Here's what I would do") and helping people strengthen their own judgment over time. You are excited by intellectually demanding work. You are ready to engage with complex global health topics, including our cost-effectiveness models, program evaluation, and evidence quality. You are driven to get up to speed and be ready to explain them clearly to audiences who will push back on our thinking. You are excited to engage with hard follow-up questions and people who will expect rigorous answers. While you don't need prior global health experience, you will need to demonstrate you can get up to speed quickly on complex quantitative subject matter and translate it rigorously and credibly. You bring high emotional intelligence, curiosity, and a clear sense of mission to your day-to-day work. You’re a collaborator who connects dots and builds relationships across teams. You bring depth of leadership experience, and you are comfortable supporting strategic decisions and rolling up your sleeves to build and shape our work. You are ready to bring adaptive energy to this work while being comfortable deeply explaining your reasoning and taking time to reach high-quality decisions where it matters. Strong candidates will have: A track record of managing sophisticated, high-stakes relationships—whether with major donors, ultra-high-net-worth clients, foundation officers, board members, or similarly discerning stakeholders in another field entirely. Exceptional relationship management skills, with high emotional intelligence, an advisory mindset, and the ability to hold a large amount of context about a person and synthesize it in real time. Interest in global health and development, and the ability to engage in complex research and ideas even without prior experience in the sector. Excellent communication skills, written and verbal—clear, tailored, and credible messaging for discerning stakeholders, including comfort producing original written content. Leadership skills to partner with senior staff and influence across teams collaboratively. Strong operational expertise: leading cross-team projects, building scalable processes, and translating strategy into action. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, humility, and long-term trust-building. Who Tends to do well: People who enjoy building relationships and understanding what motivates the people they work with People who can engage thoughtful, analytical audiences and handle nuanced conversations Fast learners who can pick up complex, unfamiliar subject matter and enjoy translating it verbally and into written content Self-starters who take ownership and work well in a collaborative, evolving team People who are proactive and anticipatory—who reach out before the other person knows they need something People who are comfortable sitting with complexity and helping others navigate uncertainty People who are enthusiastic about GiveWell's mission and values Key Questions What are some of the reasons I might not like this role? You prefer research or analysis over building relationships with people You struggle with initiating challenging or direct conversations You  prefer highly structured environments with clear answers at all times You prefer to share information and let others draw conclusions, rather than offering their own synthesis and point of view What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We'll share more specific details if we invite you to move forward to any of the following stages, but our current plan is: Screen with our Manager, Talent Acquisition Compensated 4-hour work trial (written) Interviews with our VP, Philanthropy and Senior Manager, Philanthropy Additional work trial (live interview) with our VP, Philanthropy and a Senior Philanthropy Advisor Final Onsite in our Oakland, California headquarters, where you’ll interview with members of our executive leadership team in person (we will cover your travel expenses). References Note that you don't need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we're making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You'll report to our VP of Philanthropy. Compensation : NYC or the San Francisco Bay Area: $247,500 All other U.S. locations: $225,000 Location: This position is eligible to work fully remotely within the US. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC;. We'll cover relocation expenses for candidates who wish to move to one of these physical office locations. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year One week all-office closure 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Munich; Frankfurt Workplace: remote Azul seeks an experienced and enthusiastic Channel Account Manager to build the channel across Germany.  This is an exciting role that demands initiative and enthusiasm. You will help close small and large (multi-million dollar) complex deals with Fortune 500 companies.   This role must research potential partners, connect with and educate prospects on our product offerings and qualify the leads. The primary focus will be to turn leads into qualified opportunities by partnering with marketing and sales to create and execute on program. What You’ll Do (aka Responsibilities) Identify and qualify prospective partners to resell Azul products to their customer base and via a partner program Educate prospective partners on the partner program, requirements and deliverables Develop opportunities for prospecting and marketing generated leads Promptly and efficiently respond to, engage with and qualify inbound leads and inquiries from partners Collaborate with sales and marketing team members on strategic sales approaches as it relates to partner productivity Develop and execute a strong and effective prospecting plan of attack for new partners in Germany Ensure successful follow through of sales cycle by maintaining accurate activity and lead qualification information in SFDC Provide in depth information to both the Account Executives and the VP Sales in the region regarding recruitment efforts Conduct new partner and ongoing enablement and training using the partner portal Maintain accurate and thorough records for partner calls, emails, notes, tasks, demos and other relevant information in compliance with organization policy Travel required across the region from time to time What You’ll Bring (aka Experience, Skills Education) Minimum 10+ years' experience in Channel sales working with global top tier partners such as SoftwareOne, Insight, SHI, Logicalis, etc. throughout Germany. Minimum 5+ years' knowledge or experience working with development platforms or development tools. Bachelor’s Degree and MBA is a plus Any prior direct sales experience will be an advantage as well Experience in SFDC and Clari preferred Strong verbal and written communications Excellent time management and organization skills Strong negotiating skills What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

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

Location: Belarus; Armenia; Croatia; Georgia; Kazakhstan; Moldova; Poland; Portugal; Serbia; Spain Workplace: remote About the Team   We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We are seeking an experienced Product Designer to join and strengthen our team. You will work closely with fellow Designers, a Design Technologist, Product Owner, Researcher, and the Development team. We believe that complex challenges can only be solved together. That’s why our culture encourages open discussion of problems and constructive debate over solutions. You will be surrounded by supportive colleagues ready to help and share their expertise. Tasks: Own the design and User Experience (UX) for one of the key product areas; Design and improve user scenarios and features across multiple platforms (Web, iOS, Android); Conduct Product Discovery: collaborate with the team to research user journeys, identify friction points, and formulate/validate hypotheses; Build high-quality prototypes, paying attention to micro-interactions and transition animations; Facilitate discussions with developers and stakeholders, finding the balance between ideal UX and technical constraints; Ensure implementation quality (Design QA/Review) and guide solutions through to release; Contribute to the Design System: ensure consistency and accelerate team velocity through high-quality components. Requirements: 5+ years of experience in product design (a portfolio featuring launched case studies is required); Advanced proficiency in Figma; Proven experience in creating or scaling design systems; Product Mindset: You make decisions based on data, research, and common sense, not personal preference. You understand how design impacts business metrics; Understanding of accessibility principles and the ability to integrate them into the design process; Strong communication skills with the ability to articulate and defend design decisions, as well as give and receive constructive feedback; You can self-manage, prioritize your backlog, and drive processes without micromanagement; Comfortable with shifting priorities based on business needs. What we offer: Remote work model; Competitive remuneration; Friendly, enjoyable and positive environment. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.   Join us today, and let's shape the future of fintech together!   Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.   #LI-LR1

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyper-scale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. #LI-PD1 #LI-PD1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. The Role As a Product Manager focused on Meta Systems for VALORANT Mobile, you will help shape the out-of-match experience that supports players before, between, and after every tactical fight. You will work on player-facing systems including, but not limited to, progression, social features, asset display, party-up experience, player identity, and other systems that deepen long-term engagement. Your goal is to ensure VALORANT Mobile does not only feel great in the round, but also gives players meaningful reasons to return, connect, express themselves, and grow over time. This role requires strong player empathy, structured product thinking, and the ability to translate ambiguous player needs into clear product direction. You will partner closely with Quantum Studio, our co-development partner, as well as Riot VALORANT teams, designers, engineers, publishing stakeholders, and other Riot partners to define feature goals, review implementation quality, and continuously improve the player experience through data, research, and product intuition. As a Rioter in China, you’ll join a team of culturally diverse professionals who share a passion for games and a commitment to putting players first. To support Riot’s collaborative culture in our China offices, we operate without traditional hierarchical titles. What matters here is ownership, autonomy, and impact, not what’s printed on your badge. Responsibilities: Drive the product direction and execution support for VALORANT Mobile meta systems, including progression, social, party-up, asset display, player identity, and other out-of-match player experiences. Partner closely with Quantum Studio to define product goals, feature requirements, user flows, experience principles, and acceptance criteria for new and existing meta system features. Review and refine Quantum Studio’s feature implementation throughout the development cycle, ensuring the final player experience is intuitive, polished, and aligned with VALORANT’s product quality bar. Use player behavior data, research insights, competitive references, and product intuition to identify opportunities that improve engagement, retention, social connection, and long-term player motivation. Collaborate with Riot VALORANT teams, publishing stakeholders, and other product owners to ensure meta system direction aligns with broader VALORANT product principles, version planning, live operations, and player needs. Support the planning and prioritization of meta system improvements across patches, balancing player impact, development cost, business goals, and delivery timelines. Act as the voice of VALORANT Mobile players in the meta system space, ensuring features serve both core tactical shooter players and broader mobile audiences. Monitor post-launch feature performance and player feedback, then build actionable optimization plans with Quantum Studio and relevant Riot stakeholders for future iterations. Contribute to cross-functional discussions on how meta systems connect with gameplay, monetization, content, social, and live service strategies. Required Qualifications: 5+ years of experience in product management, game operations, system design, or live service games, preferably with experience in mobile games. Experience owning or supporting player-facing systems such as progression, social, party, profile, collection, achievement, mission, onboarding, or other engagement-related systems. Strong product judgment and player empathy, with the ability to identify player needs and translate them into clear product requirements and experience improvements. Ability to work through moderately complex product problems, evaluate trade-offs, and propose practical solutions within defined constraints. Strong data literacy, with experience using engagement, retention, funnel, social, or feature usage data to evaluate product performance and guide iteration. Excellent cross-functional communication skills, with experience working closely with design, engineering, publishing, analytics, research, or external development partners. Experience working in a co-development or distributed team environment, including aligning stakeholders across different teams, cultures, or regions. Fluent in Mandarin and English. Desired Qualifications: Deep passion for competitive multiplayer games, tactical shooters, or mobile live service games. Experience working on meta systems for a major live service title, especially systems related to progression, social connection, player identity, or long-term engagement. Strong understanding of mobile player behavior and how meta systems support retention, session motivation, social play, and content discovery. Familiarity with VALORANT, its player motivations, competitive ecosystem, cosmetics culture, and overall product identity. Experience using player research, community feedback, and market references to shape product direction. Experience working with co-development partners, external studios, or large-scale distributed development teams on feature delivery and quality review. 职位介绍 作为 VALORANT Mobile 团队负责 Meta Systems 的产品经理 ，你将参与塑造玩家在每一场战斗前、战斗间隙以及战斗结束后的整体游戏体验。 你将负责的玩家体验系统包括但不限于局内外成长、社交功能、资产展示、组队体验、玩家身份表达，以及其他能够提升长期参与度的局外系统。你的目标是确保 VALORANT Mobile 不只是在对局内有出色的战术竞技体验，也能在对局外持续给玩家提供回归、连接、表达自我与长期成长的理由。 这个职位需要你具备强烈的玩家同理心、结构化的产品思考能力，以及将模糊玩家需求转化为清晰产品方向的能力。你将与我们的联合研发伙伴 Quantum Studio，以及 Riot VALORANT 团队、设计、工程、发行团队和其他 Riot 内部伙伴密切合作，定义功能目标，审核落地质量，并通过数据、研究与产品判断持续优化玩家体验。 在 Riot 中国办公室，你将加入一支由不同文化背景的专业伙伴组成的团队。我们共同热爱游戏，也始终坚持以玩家为中心。为了支持 Riot 在中国办公室的协作文化，我们不强调传统层级头衔。真正重要的是你所承担的责任、展现的自主性，以及最终创造的影响力。 职责描述 推动 VALORANT Mobile Meta Systems 的产品方向与落地支持，包括局内外成长、社交、组队、资产展示、玩家身份表达，以及其他局外玩家体验系统。 与联合研发伙伴紧密合作，定义新功能与现有功能的产品目标、功能需求、用户流程、体验原则和验收标准。 在开发周期中持续审核并优化联合研发伙伴的功能实现，确保最终玩家体验直观、精致，并符合 VALORANT 的产品质量标准。 结合玩家行为数据、用户研究、竞品参考与产品判断，识别能够提升参与度、留存、社交连接和长期玩家动机的优化机会。 与 Riot VALORANT 团队、发行团队以及其他产品负责人合作，确保 Meta Systems 的方向与更广泛的 VALORANT 产品原则、版本规划、运营节奏和玩家需求保持一致。 支持不同版本中 Meta Systems 优化内容的规划和优先级排序，在玩家影响、研发成本、业务目标和交付时间之间做出合理取舍。 代表 VALORANT Mobile 玩家在 Meta Systems 领域提出清晰观点，确保相关功能既能服务核心战术射击玩家，也能兼顾更广泛的移动端玩家群体。 追踪功能上线后的表现与玩家反馈，并与联合研发伙伴和相关 Riot 团队一起制定可执行的后续优化计划。 基本要求 拥有 5 年以上产品管理、游戏运营、系统设计或长线运营游戏相关经验，有移动游戏经验者优先。 曾负责或参与过玩家体验系统，例如成长、社交、组队、个人资料、收藏、成就、任务、新手引导或其他与玩家参与度相关的系统。 具备良好的产品判断力和玩家同理心，能够识别玩家需求，并将其转化为清晰的产品需求和体验优化方案。 能够处理具有一定复杂度的产品问题，评估不同方案的取舍，并在明确约束下提出务实可行的解决方案。 具备良好的数据理解能力，能够使用参与度、留存、转化漏斗、社交行为或功能使用数据来评估产品表现并指导后续迭代。 具备优秀的跨职能沟通能力，能够与设计、工程、发行、数据分析、用户研究或外部研发伙伴高效协作。 有联合研发或分布式团队协作经验，能够推动不同团队、文化或地区的相关方达成共识。 中英文流利。 加分项 热爱竞技多人游戏、战术射击游戏或移动端长线运营游戏。 有大型长线运营游戏 Meta Systems 相关经验，尤其是成长、社交连接、玩家身份表达或长期参与度相关系统。 深入理解移动端玩家行为，以及 Meta Systems 如何支撑留存、开局动机、社交游玩和内容发现。 熟悉 VALORANT，包括其玩家动机、竞技生态、皮肤文化和整体产品气质。 有使用用户研究、社区反馈和市场参考来制定产品方向的经验。 有与联合研发伙伴、外部工作室或大型分布式研发团队合作推进功能交付和质量审核的经验。

Location: Pasig City, Philippines Job Description: Help guide report strategy, help determine important safety concerns and review medical and medical safety content that will be included or discussed in the report, including but not limited to safety signals, health authority requests, safety-related literature, adverse event case reviews, benefit-risk assessments, and overall medical assessments and conclusions. Work in collaboration with contributing team members, particularly with the reports assigned to the Global Risk Assessment and Safety Physician. Review all stages of the report that are assigned during the report authoring process, record their recommended revisions, and indicate completion of their reviews in the corresponding systems. Key Responsibilities: Provide medical and scientific judgment in the evaluation of data pertaining to the efficacy and safety of Client products including, but not limited to, PBRER-PSURs and benefit-risk evaluations Review and contribute to strategy discussions, including determination of the important safety concerns and review of draft/final data, HA feedback topics, signals, and benefit-risk evaluation. Coordinate with Global Risk Assessment and Safety Physicians regarding PBRER steps and hand-offs and collaborate with other members of the report authoring team. Review the drafts and final reports as assigned and provide feedback, which may include pre-initial, drafts, drafts, final drafts, and final reports as assigned. Qualifications: Requirement: Licensed Medical Physician Experience in Drug Safety and Pharmacovigilance (PV) Concepts, regulatory requirements, research principles, and safety data analysis. 1-3 years of experience in pharmaceutical regulations and R&D processes. Technical Skills: the ability to analyze, interpret, and present complex data in a concise and understandable scientific manner, both orally and in written format, is essential. Attention to detail: diligence in record-keeping and records organization, ability to manage high workload and critical issues, computer literate and proficiency in MS Office applications. Internal and external networking skills: strong collaborative and interpersonal skills, results-oriented and ability to independently create and deliver, ability to thrive in a global, cross-functional environment. Data entry experience desired. Accountability for delivery of results. Decision making and problem-solving skills. Proactive approach/uses own initiative. Manages own work, able to prioritize, plan and organize work assignments and work under strict timelines Ability to follow guidelines, working practices etc. Experience of working with SOP/WI preferred

Location: Remote-Friendly, United States 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.