Вакансии

- Own go-to-market and customer acquisition for the wallet business, building the GTM motion and sales process from the ground up.

Plaid is looking for an Executive Assistant Office of the CEO to manage executive operations, leadership logistics, and special projects.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Do you have a love for immersive player experiences, digital play ecosystems, and the iconic world of D&D? We’re looking for a Senior UX Designer to join the design team for the digital tools that power D&D Beyond, the best-in-class digital companion for Dungeons & Dragons. This role is an outstanding opportunity to build innovative, intuitive tools that unlock the magic of D&D for millions of players and Dungeon Masters around the world! This role is a hybrid role requiring three days a week in our Renton, WA office. Responsibilities: Develop UX and UI solutions for D&D Beyond with a strong understanding of product design, systems design, UI style, layout, typography, color, usability, and interaction design Scope plan and deliver design projects independently. Proactively identify, communicate and solve issues impacting the quality of work Deliver appropriate level of design artifacts for the team (e.g., strategy articulation and alignment frameworks, discovery/research results, journey maps, flows, wireframes, high fidelity comps, style guides, etc). Break down experiences thoughtfully with product and engineering for teams to ship value incrementally, making intentional trade-offs that are grounded in a clear perspective. Qualifications: A degree in UX Design, Art, Information architecture, a related design field, or the ability to show equivalent professional experience. Portfolio and/or case study of interactive design work demonstrating excellent design sensibilities and craft skills. Strong visual design direction background, with experience crafting and evolving style guides and design systems in Figma or similar tools. Hands on expertise in responsive web design, and familiarity with mobile app patterns. Ability to think conceptually in both visual and interface design, going beyond function to bring a point of view about design. Excellent verbal and written communication and collaboration skills working with cross functional teams that include product management and engineering. Comfortable with using data to advise design decisions (and working with incomplete data when needed) A growth mindset for pushing yourself, the team, and the product towards continuous improvement. Nice to Have: Experience with design systems for multichannel products specifically with multi-brand architecture. A love and passion for D&D and tabletop RPGs. Background in both traditional product design and UX for the games or entertainment industry. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $112,000 — $168,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA or London, England | Hybrid - 2+ days per week in your designated office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $302,400 — $453,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — создавать контент на английском языке, включая посты, треды, статьи, продуктовые туториалы и пользовательские кейсы; — развивать органический трафик, заниматься SEO-оптимизацией и email-маркетингом; — инициировать и запускать партнерские коллаборации с AI-проектами, инфлюенсерами и разработчиками; — создавать короткие видеоролики и базовую графику для соцсетей и блога; — выдвигать и тестировать маркетинговые гипотезы, анализируя результаты в Google Analytics 4 и PostHog. Требования: — опыт работы от 1 года в digital-, content- или community-маркетинге; — свободное владение английским языком на уровне C1 (письменно и устно); — понимание базовых принципов SEO, UTM-разметки и веб-аналитики (Google Analytics 4); — активное использование AI-инструментов в ежедневной работе и интерес к индустрии нейросетей; — проактивность и умение самостоятельно предлагать и проверять новые форматы; — будет плюсом опыт в SaaS/AI/dev-tools, навыки работы с Figma, Tilda/Webflow, Google Ads или технический бэкграунд. Условия: — зарплата 100 000 – 120 000 рублей на руки; — работа в офисе в Москве или Санкт-Петербурге с гибким началом дня (до 12:00); — оформление через самозанятость или ИП; — 28 дней оплачиваемого отпуска и 100% компенсация больничных; — профильное обучение за счет компании и перспектива карьерного роста до Marketing Manager.

Location: United States What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Location: Chennai, Tamil Nadu, India 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 Warehouse Specialist runs day-to-day warehouse operations at a Nebius data center site. The role receives, stores and issues high-value hardware (GPU racks, servers, network equipment, spare parts), keeps stock and asset records accurate, and provides equipment to data center engineers on time. The specialist is the site's hands-on link to the wider logistics function: Transportation and Transport Coordination for arrivals and pickups, Logistics Planning and 3PL Planning for schedules, Back Office for system records, and the Project Office for new processes and tools. Your responsibilities will include: 1. Receiving & Dispatch Receive inbound shipments per the delivery schedule; check seals, packaging and contents against ASN, packing list and PO. Record damage and discrepancies with photos on arrival and hand them to Transport Coordination for insurance cases. Prepare outbound shipments and RMA returns: picking, packing, labelling, documents; hand over to carriers at the agreed pickup time. Follow handling standards for heavy, fragile and high-value equipment. 2. Provisioning to Data Center Operations Issue equipment and spare parts to DC engineers on time, according to requests and project priorities. Stage and kit hardware for rack deployments as agreed with ITDC and Project Managers. Keep a clear view of what is available on site and flag shortages to the Team Lead and Logistics Planning. 3. Inventory & Asset Control Post receipts, issues and transfers in ERP/WMS on the same day as the physical movement. Create inventory and asset records for received equipment, including serial numbers. Carry out cycle counts and annual stock takes; investigate and report discrepancies to Back Office. Keep the warehouse tidy, labelled and organised by location. 4. Security, Safety & Compliance Follow site security procedures for deliveries, access control and storage of high-value items. Apply safety rules for handling equipment and operating material handling equipment. Keep records complete and audit-ready (SOX, internal and external audits). 5. Process & Continuous Improvement Work according to global SOPs and site-specific instructions. Suggest improvements and report recurring issues to the Team Lead and the Project Office. Take part in pilots and rollouts of new processes and tools (WMS/TMS, automations) at the site. 6. Local Expertise Provide site-specific knowledge (access rules, dock limits, local carriers and customs specifics) to Transport, Planning and 3PL teams. Identify local operational risks and propose practical mitigation. 7. Add-on Roles (when assigned) + RMA: own RMA flows at the site — intake, documentation, return shipment, status tracking. + Key User (IRG / NetSuite / Project44): first-line support and training for colleagues on the system, test changes, collect feedback for the Project Office. We expect you to have: Autonomy: Independently runs daily warehouse tasks at the site within SOPs; escalates discrepancies, damage and security issues to the Team Lead. Impact: Keeps DC engineers supplied with the right hardware on time and keeps site stock accurate. Communication: Clear, timely updates to the Team Lead, DC engineers and logistics teams. Travel: Occasional support to other sites during launches or peaks. Work Mode: On site; remote work not expected. 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: 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 the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup. Responsibilities Electrical design & engineering Lead the electrical design of critical data center infrastructure across the US portfolio, including the utility interface and substation, site medium- and high-voltage distribution, generators, UPS, switchgear, transformers, busway, and grounding Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet our reliability and maintainability requirements while staying within budgetary targets Perform and validate engineering studies — including short-circuit, protection coordination, arc flash, load flow, and power quality analysis — and use the findings to steer topology, redundancy, equipment-selection, and protection-setting decisions Design and plan data center hall power distribution layouts for newly allocated spaces in coordination with the telecom, mechanical and cooling design Prefabrication & modular delivery Drive Anthropic's prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams on a productization roadmap that accelerates deployment and reduces onsite labor Design for offsite manufacture and onsite assembly: define the interfaces between prefabricated components and site-built work, and the electrical interfaces and switchover points for temporary-to-permanent power sequencing Drive standardization of modular electrical designs across sites to compress deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations Partner, vendor & utility coordination Work with regional vendors and manufacturers to specify and qualify major electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk Work with utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to define site utility service and interconnection requirements, and with local authorities having jurisdiction to ensure designs comply with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, UL/ANSI, and local requirements Work with Anthropic's hardware and compute teams to translate accelerator power, density, and power-quality requirements into electrical design criteria, and keep the reference architecture aligned with upcoming hardware generations Present findings and design positions to internal stakeholders, build partners, and operations teams through clear reports and presentations, and defend them under challenge Design review & quality Review and approve electrical design packages, calculations, submittals, and shop drawings from build partners and MEP consultants; track clarifications, deviations, and exceptions against the basis of design, and hold the line on capacity, reliability, maintainability, and safety requirements Perform technical due diligence and design reviews on data center developer and partner projects — evaluating their electrical single-lines, equipment selections, studies, and specifications against Anthropic's reliability, maintainability, and capacity requirements Define project electrical scope and serve as the design authority on RFIs and field changes that affect design intent during procurement and construction Support factory acceptance testing, commissioning, and startup — reviewing test procedures and results against design intent, participating on site for key milestones, and closing as-built changes back into the reference design Manage concurrent projects across multiple geographies Continuously improve Anthropic's internal electrical design standards, tooling, and delivery practices, and act as a technical leader within the engineering group and across the internal and external teams that support our data centers You may be a good fit if you Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers Strong candidates may also have Experience owning the electrical basis of design or reference architecture for a hyperscale or large colocation program, and driving its adoption across multiple sites or by external build partners A track record building modular prefabricated products in the electrical or mechanical scope of a data center, and driving designs toward offsite manufacturing Background in medium-/high-voltage distribution, on-site generation, or battery energy storage system (BESS) integration, and how those shape the building-side electrical design Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) 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.

Location: United States 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 are looking for a Product & Technology Communications Lead to drive visibility for Nebius and our full-stack, purpose-built AI Cloud through impactful storytelling. This is an excellent opportunity for an experienced tech communications professional with strong relationships across tech trade media, new and creator-led media and podcasters, who loves to build. Reporting to the Vice President, Communications – US, you will create strategies, media plans and storylines, partnering closely with our Platform and Product Communications lead and collaborating with the broader Communications, Marketing and Product & Infrastructure teams. This is a hands-on role in which you will manage direct tech media relations in support of new product and infrastructure launches, as well as technology thought leadership and press-facing external speaking opportunities. We’re growing fast, and we need a motivated operator and team player, to turn the pace of our innovation into a clear, credible product and technology story, making sure builders, buyers, the media and influencers can see why it matters. This role is remote based on the West Coast, with a preference for the San Francisco Bay Area. Your responsibilities will include: Launch strategy and planning Develop the communications strategy and media plans for major product and platform launches and technology thought leadership Collaborate closely with the Product & Platform Communications, industry analyst relations and product marketing leads on messaging and storylines that differentiate Nebius in the crowded AI cloud market Map priorities and objectives to key results (OKRs) aligning with Communications leadership Capture and report on insights and measure results against target key results Technical storytelling and credibility Turn deep technical detail into messages and broader storylines that resonate with AI Native, Digital Native and enterprise tech companies. Identify and leverage claims and proof points that will resonate with key audiences , including customer outcomes, performance data, technical deep dives and open-source contributions Media, creator and ecosystem engagement Build relationships with technology, AI and developer media and co-creators on behalf of Nebius Pitch and place stories, run briefings and track what lands Prepare spokespeople for press briefings, interviews and speaking opportunities Support ecosystem moments such as conferences, partner and customer announcements We expect you to have: Strong recent experience in technology communications, product PR or a closely related field, and a track record of demonstrated results Demonstrated depth in AI, cloud and infrastructure, and the technical fluency to engage meaningfully with more technical press and our internal Product & Infrastructure team Exceptional writing and editing, shown through work that is clear, accurate and specific Proven relationships with relevant technology press, co-creator platforms and podcasters Sound judgment on claims, risk and timing. You know what to verify, what to escalate and when to say no Experience influencing stakeholders without formal authority It will be an added bonus if you have: You have worked at an AI lab, hyperscaler, AI cloud or fast-growing infrastructure company You know how to navigate matrix organizations effectively You ae accustomed to working across cultures, regions and time zones Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $121,100 — $151,300 USD 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, CA; Bellevue, Wa Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates. What You'll Do - Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives. - Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely. - Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work. - Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team. - Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams. - AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them. What You'll Bring - Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering. - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar. - Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production. - CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar. - Containers: Production experience with containers and container orchestration, such as Kubernetes. - Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems. - AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here. Nice to Have - Familiarity with API gateways, load balancers, or CDNs. - Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM. - Experience with GPU workloads or ML infrastructure. - Experience with message queuing systems. Location & Work Model This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week. Compensation & Benefits The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

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 the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. The loads involved are large enough — and arrive fast enough — that utility supply alone often can't meet the need on the timeline required, and the step-load behavior of large accelerator clusters creates power-quality and ride-through demands that conventional backup-generation designs weren't built for. Anthropic's Data Center Infrastructure team is responsible for solving that problem: delivering facilities that can be energized early, ride through grid disturbances, and present a well-behaved load at the point of interconnection (POI). As a Data Center Power Generation & Microgrids Engineer, you'll own the behind-the-meter generation and storage architecture for Anthropic's data center portfolio. That means the on-site generation fleet — reciprocating engine gensets, gas turbines, fuel cells — and the battery energy storage systems that buffer load steps and provide ride-through. It means the microgrid layer that ties them together: islanding and resynchronization, black-start, load-shedding, and generation dispatch. And it means the grid side: interconnection studies and agreements, IEEE 1547/2800 compliance, and power quality at the point of interconnection. You'll also own our temporary- and bridging-generation strategies — the plans that let a site energize and start serving load before permanent utility service is available, and transition cleanly once it is. This is a deeply cross-functional role. You'll work closely with colleagues across the infrastructure team on where and how generation and storage tie into the site electrical distribution, controls, and SCADA, and with our hardware and compute teams to understand the load characteristics you're designing against. You'll be Anthropic's technical counterpart to on-site generation providers, BESS integrators, utilities, and ISOs/RTOs. Expect roughly 20–35% travel for design reviews, factory witness testing, and site startup. Responsibilities On-site generation engineering Own Anthropic's behind-the-meter generation architecture across the portfolio — prime-mover selection and sizing (reciprocating engines, gas turbines, fuel cells), paralleling topology, redundancy, fuel systems, and emissions controls — and maintain the generation basis of design and technical specifications that build partners and generation providers design against Set the day-one vs. day-N plant sizing and expansion strategy — what the plant needs on day one so it can be expanded or augmented later, and how to add units, storage, or a grid tie to a system already running Characterize the data center load for external generation partners — step changes, ramps, oscillation, fault behavior, and non-IT load — so providers can size and tune their plant against the real duty Model generation response against the load profile of large-scale ML training — step-load acceptance, block loading, transient frequency and voltage response, load rejection — and set the acceptance criteria (e.g., per ISO 8528-5) that generation packages are tested against Develop temporary- and bridging-generation strategies that deliver early site energization ahead of permanent utility service, including the sequencing, protection, and controls changes needed to transition from temporary to permanent power without stranding equipment or capacity Ensure generation designs meet NFPA 37, NFPA 110 where the plant provides emergency or legally required standby power, fuel-gas and fuel-storage codes (e.g., NFPA 54, NFPA 30), and applicable emissions requirements, and coordinate with environmental and permitting counterparts on the technical inputs to air permits Energy storage & microgrid architecture Size and specify battery energy storage systems for ride-through, step-load buffering, and power-quality support — including cell chemistry and enclosure selection, inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A large-scale fire test data, and NFPA 855 installation requirements — and own the thermal and fire-protection interfaces Define the site microgrid topology and operating modes — grid-parallel, islanded, and black-start — and the transition logic between them, including load-shedding schemes, resynchronization criteria, and the conditions under which the site separates from and reconnects to the utility Specify the functional requirements for the microgrid controller — generation dispatch, set-point coordination across rotating and inverter-based sources, mode management — and drive its implementation, testing, and integration into site SCADA and the electrical power monitoring system (EPMS) Help define the protection and control requirements for generation and storage sources so that interconnection protection, anti-islanding, and source-transfer schemes are consistent from the generator terminals through the point of interconnection Grid interconnection & power quality Lead the technical side of utility interconnection for sites with on-site generation or storage — interconnection applications, studies, and agreements, ISO/RTO processes, IEEE 1547/2800 compliance, and interconnection protection Own power quality at the point of interconnection — flicker per IEEE 1453, harmonics per IEEE 519, voltage regulation, reactive-power and power-factor requirements — and design the generation, storage, and filtering mitigations needed to keep the site within its interconnection limits under real training-load behavior Run or critically review the power-system studies that support interconnection and microgrid design — load flow, short-circuit contribution from rotating and inverter-based sources, transient stability, motor-starting and step-load studies, and electromagnetic-transient studies where inverter controls matter Vendor diligence & delivery Lead technical due diligence on on-site generation providers, BESS integrators, and microgrid-controller vendors — evaluating equipment and controls on engineering merit, stress-testing performance and availability guarantees, and reviewing proposed architectures against Anthropic's basis of design Define the technical performance terms in energy-services agreements with on-site generation providers — availability, power quality, ramp, and ride-through, each with a definition, meter, test protocol, and acceptance criteria — working with energy commercial and legal counterparts Review and disposition design packages, submittals, shop drawings, and deviation requests from generation providers and their EPCs, and hold partners to Anthropic's reliability and maintainability requirements Support commissioning of generation, storage, and microgrid systems — witnessing factory and site acceptance tests, defining and observing integrated systems tests (islanding, resynchronization, black-start, load-step), and resolving field issues against design intent Manage concurrent generation and microgrid scopes across multiple sites, and contribute to the continuous improvement of Anthropic's generation and interconnection design standards as the portfolio and the technology both evolve You may be a good fit if you Have 10+ years of engineering experience in power generation, microgrids, battery energy storage, or utility interconnection, with substantial time spent on on-site or distributed generation for mission-critical, data center, or large industrial loads, and deep hands-on delivery experience in at least one of these areas (generation, storage, microgrids, or interconnection) Have deep hands-on experience with one or more generation technologies — reciprocating engine gensets (diesel and natural gas), gas turbines, or fuel cells — including sizing, paralleling, fuel systems, and emissions controls Understand the thermal generation asset classes — reciprocating engines across the size range (sub-MW through 10–20 MW units), small- and medium-frame combustion turbines, and combined cycles — and how each responds to fast load changes and holds stable islanded operation Understand battery energy storage sizing for a defined duty (ride-through, load-step buffering, peak shaving), inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A test data, and NFPA 855 installation requirements Understand microgrid architecture end to end — islanding detection and transition, resynchronization, black-start, load-shedding, and generation dispatch Are fluent in interconnection standards and processes — IEEE 1547, IEEE 2800, utility interconnection requirements, and ISO/RTO study and queue processes Are comfortable running or critically reviewing power-system studies — load flow, short-circuit, transient stability, and power quality — in tools such as ETAP, SKM, PSS®E, PSCAD, or EasyPower Hold a bachelor's degree in Electrical Engineering, Power Engineering, or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Have worked directly with generation OEMs, BESS integrators, generation-as-a-service providers, or utilities, and can evaluate equipment and proposals on technical merit rather than datasheet claims Communicate clearly with technical peers, utilities, regulators, and non-specialist stakeholders, and are results-oriented with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it Strong candidates may also have Designed or delivered battery energy storage systems at MW scale Specified or commissioned a microgrid controller for a site that can island and resynchronize Taken at least one large load or generation interconnection from application through agreement HV/MV substation design experience — main one-line development, equipment specification, grounding, and layout — since on-site generation and storage tie in at the substation and the two scopes are tightly coupled A protection-engineering background covering generation and interconnection protection — relay selection and settings, anti-islanding schemes, and coordination between on-site sources and utility protection Experience integrating renewable generation (solar PV, wind) with storage into hybrid behind-the-meter plants Experience on the technical side of air permitting for stationary generation (e.g., Title V, NSR/PSD, or state equivalents) and emissions-control equipment selection Electromagnetic-transient (EMT) modeling experience in PSCAD or EMTP for inverter-based resource and microgrid-transition studies Direct experience with data center, hyperscaler, or other large-campus microgrids, or at a generation provider, BESS integrator, or developer serving those customers A track record of authoring generation or interconnection reference designs or standards that were adopted across multiple sites or by external partners 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.

Location: New York; San Francisco; Seattle; Toronto Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere is in a unique and exciting position to grow our go-to-market teams globally! We are expanding our Talent Team and are looking for creative, high-performing talent sourcers who are eager to take on a new challenge as we are in the early stages of building the Talent Acquisition function. In this role, you will master a new domain of sourcing, source world-class business talent, and influence the scaling of a high-growth Canadian tech company. If you consider yourself resilient, collaborative, influential, and a lifelong learner with an established network, we’d love to hear from you! In this intermediate level role you will: - Build, own, and nurture a strong pipeline of world-class business talent across Sales, Finance, Revenue, Marketing & Communications, and Operations - Deliver a world-class recruiting experience that reflects Cohere's premium brand - Partner with hiring managers and talent partners to find and engage passive talent through creative sourcing methods - Maintain deep market intelligence on business talent trends and competitive landscape - Manage comprehensive recruiting funnels in our ATS, updating progress and analytics regularly - Develop creative, proactive sourcing approaches to optimize the top of the funnel for business roles - Cultivate relationships with established networks across business communities and industry leaders - Identify and own additional high-impact talent projects as they emerge Who you are: - You have 3 -7 years of experience sourcing for business roles across Sales, Finance, Revenue, Marketing & Communications, and Operations in markets like EMEA/US etc. - You have a proven track record of sourcing candidates in high-growth and a high-bar environments (startup, technology, AI experience strongly preferred) - You bring an established, high-profile network in business communities - You're a creative problem solver who thrives in fast-paced, ambiguous environments - You're a natural influencer with exceptional relationship-building skills - You leverage data and analytics to drive sourcing decisions and measure effectiveness - You're passionate about diversity, equity, and building inclusive business teams - You have a strategic mindset with the ability to see beyond immediate hiring needs WHY COHERE - Impact: Shape the future of AI talent at a cutting-edge company. - Culture: Collaborative, innovative, and mission-driven. - Growth: Join a team scaling from 800 to 2000+ over 18 months. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA or London, England | Hybrid - 2+ days per week in your designated office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. £302,400 — £453,600 GBP Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Miami, Florida, United States Join Our Team We are looking for a Customer Support Specialist to join our Customer Support team. This role is ideal for a hands-on, customer-focused professional with problem-solving skills and a solid understanding of logistics processes (mainly ocean freight). You will thrive in a fast-paced environment, enjoy investigating and resolving complex issues, and be passionate about delivering exceptional customer experiences. What You'll Be Doing Support the daily activities of the Customer Support team. Ensure customer inquiries via email, chat, and ticketing systems are handled promptly and professionally. Assist with complex customer issues, platform-related challenges, and service disruptions. Investigate customer-reported problems, identify root causes, and coordinate resolutions with Product and Development teams. Monitor service quality and ensure high levels of customer satisfaction. Maintain accurate records of customer interactions and support activities. Collaborate closely with Sales, Operations, Product, Development, and IT teams to ensure seamless customer experiences. Support customers with Cargoo platform functionalities, troubleshoot issues, and provide effective solutions. Identify trends in customer feedback, recurring issues, and system performance to drive continuous improvement initiatives. Contribute to the development of knowledge base articles, best practices, and support procedures. Assist with initiatives that improve customer retention and overall customer satisfaction. Who We're Looking For: Experience in customer support, customer service or a comparable customer-facing role; experience in logistics, freight forwarding, supply chain or related industries is considered an advantage. Tech-savvy Strong communication and interpersonal skills with a customer-oriented mindset. Ability to communicate effectively with both technical and non-technical stakeholders. Strong organisational skills and attention to detail. Ability to manage multiple tasks and priorities in a fast-paced environment. Experience working with ticketing, CRM or customer support systems is considered an advantage. Ability to work independently and as part of a cross-functional team. Fluent English and Spanish, Portuguese is a plus. Equal Opportunity Employer CSA Global Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Work Authorization Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this role. Relocation/Travel Role is not pen to relocation and does not require travel. Ready to take the next step in your customer service leadership career? We would love to hear from you. Apply today and help us deliver outstanding customer experiences every day.

Location: Argentina About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Serbia About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement