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Location: Tel Aviv, Israel 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 Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. Review and approve architecture and design of new systems, infrastructure, and network changes. Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). Design secure cloud architectures including IAM, networking, and workload protection. Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. Define and support identity and access management controls, including SSO, MFA, and privileged access. Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. Identify security risks and architectural gaps and recommend mitigation strategies. Participate in architecture reviews, risk assessments, and security design discussions. Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. Translate threat models, business requirements, and risk assessments into practical security controls. Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. Establish security controls for container orchestration platforms across development, testing, and production environments. Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management Develop technical security standards, architecture patterns, and security control baselines. Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. Define security requirements for identity, access, data protection, network security, workload isolation, and observability. Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. Experience working in hybrid environments (on-prem + cloud). Strong understanding of security architecture principles and risk-based design. Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. Strong analytical and problem-solving skills. It will be an added bonus if you have: Experience with Zero Trust architecture and network segmentation strategies. Familiarity with cloud security tools (e.g., Wiz). Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). Experience in SaaS, cloud-native, or enterprise-scale environments. Relevant certifications such as CISSP, CCSP, or equivalent. BSc in Computer Science, Information Security, or a related field. 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: 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. About the Advanced Technology Group The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. What you’ll be doing You will be working on the current and future rendering APIs used by PlayStation games, as well as the hardware underpinning them. You will design and implement features that enable efficient game development, push GPU programming forward, and create a healthy platform. You will observe industry trends, understanding of – and empathy for – our customers, and business needs as the foundation of your decision making. You will help shape the path of the PlayStation graphics stack going forward. You will collaborate with the platform software and hardware teams, as well as game developers. You will often take the role as the game-developer advocate when working with the platform teams, or the role as the platform-team advocate when working with game developers. This is a senior position at the core of PlayStation GPU technology with an unusual degree of influence on future of console graphics -programming . ATG is granted a high degree of trust and autonomy in shaping the graphics software stack and we are looking for people who are passionate about carrying this forward. You will not be spending your time in committee meetings or writing endless proposals, this is very much an engineering role where your primary role is to determine what needs to be implemented, how best to implement it and to then sit down, code, debug. We believe that this practical focus is crucial in building up the skill, experience, and insight required to make the large-scale and long-term decisions we have been entrusted with. What we are looking for Experience and interest in low-level graphics architecture and engineering. Experience writing rendering code on top of multiple existing rendering APIs. Experience writing rendering code on console. The ability to keep an eye on the big picture, even when deep in the weeds. An eagerness to learn and to take responsibility for the long run. 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: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Product Manager to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Founding Product Manager to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. It’s an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Product Manager for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Our goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems and AI-driven analysis and automated enforcement through AI Agents. Key Responsibilities: Define and build product for new cyber security product from scratch Design end-to-end user journeys across the entire platform, from onboarding to daily usage and advanced workflows Define platform information architecture, navigation, and core UX principles Own wireframes, user flows , and interaction logic (from low-fidelity to production-ready concepts) Prepare tickets and own backlog Translate user needs, risk scenarios, and business goals into intuitive UI/UX decisions Contribute the product vision and translate it into a clear, actionable roadmap Ensure complex security and risk concepts are expressed in simple, usable interfaces Drive product discovery , validation, and prioritization from day zero Work closely with engineering, security, and data teams to ship the right product fast Define MVP scope, iterate based on real customer feedback, and avoid over-engineering Balance security, usability, and scalability in a complex cyber risk platform Represent the product internally and externally with customers, partners, and investors Build whole platform from scratch Must have skills: 10+ years of hands-on experience designing complex B2B SaaS web platforms for technical products Proven ability to scatch end-to-end user journeys using Figma (flows, wireframes, interactive prototypes) Strong experience with design systems and component-based UX (Figma libraries, tokens, variants) Ability to write clear PRDs, user stories, and acceptance criteria in Notion, Confluence, or similar Experience working closely with engineering teams using Jira, Linear, or GitHub Projects Solid understanding of REST APIs of SaaS integrations and backend-driven UIs (can read OpenAPI / Swagger specs) Experience defining data-heavy dashboards (tables, filters, charts, drill-downs) Strong grasp of UX for complex domains (security, risk, finance, compliance, or enterprise admin tools) Familiarity with event tracking and product analytics Experience in using TOP product AI tools Ability to run user interviews and usability testing and translate findings into product decisions Strong understanding Ability to build things from scratch at early stage startup High ownership mentality, startup mindset, and ability to move quickly. Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality . Strong problem-solving skills and ability to work in a collaborative environment. Excellent English communication skills Nice-to-have requirements: Experience with cybersecurity, IAM, GRC, or risk management platforms Understanding of RBAC / ABAC , permissions modeling, and role-based UX Experience working with AI-powered features (recommendations, scoring, summaries, user flow generators) Familiarity with data visualization libraries Exposure to frontend frameworks such as React, Next.js , or Vue (no coding required) Experience collaborating with teams using Go, Java, or Python backends Understanding of enterprise buying personas (CISO, CTO, Security, Risk teams) Experience designing multi-tenant SaaS platforms Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience in security or risk management products Experience designing permission models, identity graphs, or access control frameworks . Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with AI agents implementations Previous experience in cybersecurity , identity startups. You are a fan of rock or metal music. Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical product decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security product across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the product team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your product vision become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a product leader who has spent years in the trenches with institutional clients, guiding them through complex technical integrations — and you've come out the other side knowing where those efforts succeed, stall, or fall apart. You understand the client journey across sales, testing, and eventually go live. As Director, Product Manager Institutional Platform, you will own the end-to-end experience of enterprise clients integrating with Galaxy's institutional custody and trading services. You'll work hand-in-hand with clients' technical and operations teams, as well as Galaxy's engineering, trading, operations, and client service organizations, to make every integration smoother, faster, and more predictable than the last — and you'll turn what you learn into documentation, tooling, and support resources that scale. What You’ll Do: Own the product experience for enterprise clients using Galaxy's institutional custody and trading platform, from initial technical scoping through go-live and steady-state usage. Act as the primary product point of contact for clients during integration, translating their requirements across market data, order entry, trade reconciliation and settlement, and post-trade reporting into clear technical and product specifications, always keeping an eye towards best in class UX and repeatable processes. Partner directly with client engineering and operations teams to troubleshoot integration issues, unblock technical dependencies, and keep complex, multi-workstream onboardings on track. Collaborate closely with engineering, trading, operations, and compliance to ensure the platform's APIs, workflows, and tooling meet the real-world needs of institutional clients integrating for custody, staking, and trading. Identify recurring friction points across client onboardings and drive the roadmap for internal tools and platform improvements that reduce integration time and support burden. Own and continuously improve Galaxy's client-facing documentation — API references, integration guides, runbooks, and FAQs — so clients can self-serve wherever possible. Define and track metrics for onboarding health (time-to-integration, support ticket volume, client satisfaction) and report progress and blockers to product and business leadership. Represent the voice of the client internally, ensuring product and engineering prioritization reflects real integration/usage pain points and institutional client needs. What We’re Looking For: 10+ years of experience in product management, solutions engineering, or a related technical role, with a meaningful portion of that in digital assets. Direct, hands-on experience managing enterprise clients through technically complex integrations. Familiarity with custody and staking workflows in the digital assets industry, and the operational and security considerations unique to them. Demonstrated ability to translate ambiguous or highly technical client requirements into clear specifications, documentation, and product priorities. Track record of building or substantially improving client-facing documentation, developer guides, or support resources. Excellent stakeholder management skills — comfortable working directly with client technical teams and internal engineering, trading, and operations stakeholders simultaneously. Ability to manage multiple concurrent client relationships without losing sight of the details. Bonus Points: Experience at a crypto exchange, custodian, prime broker, or institutional trading platform. Background in technical writing or developer experience (DX) roles. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free virtual coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $275,000 — $300,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Amsterdam, Netherlands; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets. In this position, your responsibility will be to: Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current Ensure reliability and predictability of pipelines under high-throughput conditions Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals You may be a good fit if you: 8+ years of experience building production backend or data infrastructure systems Strong Go experience (C++/Rust is a plus) Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) Experience building or operating databases, storage systems, data planes, or indexing pipelines Strong understanding of distributed systems, fault tolerance, consistency, and scalability Experience running production systems and handling operational incidents Systems-thinking mindset and ability to reason about end-to-end data flows Strong candidates may also have experience with: Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam Content systems including, scraping, proxying, or anti-bot infrastructure Ad tech, social networks, or other large-scale content platforms DBMS internals (open source or SaaS) and cloud infrastructure Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation (ICPC, IOI, or similar) SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. 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: New York, United States Company introduction: Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to unlocking urgently needed new treatment options in mental health care. The Company is headquartered in London, UK, with a U.S. office in New Jersey. We believe mental health patients deserve the possibility of a better future. Our initial focus is developing COMP360 psilocybin, a proprietary, investigational, synthetic psilocybin treatment under evaluation for treatment-resistant depression (TRD) and post-traumatic stress disorder (PTSD). COMP360 is a potentially first-in-class treatment and has Breakthrough Therapy designation from the U.S. Food and Drug Administration (FDA), as well as Innovative Licensing and Access Pathway (ILAP) designation in the UK for TRD. We are leading the world’s largest classic psychedelic clinical program in TRD, and building upon that robust foundation, we are executing a late-stage trial evaluating COMP360 for PTSD, another condition with high unmet need. Our goal is to advance treatments that move the field of psychiatry towards treatment options that offer rapid onset and sustained durability with infrequent dosing. - Compass Pathways Job overview : The Director of Omnichannel and Digital Strategy will play a critical role in designing and executing the company’s digital engagement strategy to support the successful commercialization of Compass Pathways’ therapies. This leader will be responsible for developing an integrated omnichannel ecosystem that enables personalized, data-driven engagement with healthcare providers and key stakeholders. This role will oversee the development and deployment of digital platforms, AI-enabled decision engines, and marketing automation capabilities that power next best actions, targeted email campaigns, and scalable digital content delivery. The Director will partner closely with Commercial Operations, Marketing, IT, Analytics, and external vendors to build and operationalize the digital infrastructure required to support a modern pharmaceutical commercial organization. The ideal candidate combines strategic thinking with hands-on experience building digital capabilities, implementing AI-driven engagement tools, and managing cross-functional initiatives in a highly regulated pharmaceutical environment. Location: Hybrid in our New York City office or remote on the East Coast in the United States. Reports to: Vice President, Commercial Operations. Roles and responsibilities ( Include but are not limited to ): Develop and execute Compass Pathways’ omnichannel engagement strategy to support commercial launch and long-term brand growth within the pharmaceutical market Design and implement digital ecosystems that enable personalized engagement across channels including email, web, CRM, field engagement tools, and marketing automation platforms Lead the development of next best action (NBA) capabilities using AI and advanced analytics to optimize healthcare provider engagement and field effectiveness Oversee digital campaign strategy including email marketing programs, triggered journeys, and audience segmentation aligned with pharmaceutical marketing standards Partner with Marketing and Medical teams to develop scalable digital content strategies and modular content frameworks that meet regulatory and compliance requirements Evaluate, implement, and manage digital platforms and software that support omnichannel engagement, marketing automation, and content management Collaborate with Commercial Analytics to integrate CRM data, behavioural data, and external healthcare datasets into engagement strategies Drive the adoption and optimization of AI-enabled tools that enhance personalization, predictive targeting, and campaign effectiveness Partner with IT and external vendors to build and deploy digital solutions while ensuring compliance with pharmaceutical regulatory, privacy, and data governance standards Develop measurement frameworks and dashboards to track omnichannel performance, campaign effectiveness, and customer engagement Support field teams by ensuring digital strategies integrate seamlessly with CRM workflows and sales execution Manage vendor relationships and budgets related to digital platforms, AI tools, and marketing technology solutions Candidate Profile: Bachelor’s degree in Marketing, Business, Data Science, Computer Science, or related field (MBA or advanced degree preferred) 8–10+ years of experience in omnichannel marketing, digital strategy, marketing technology, or commercial operations within the pharmaceutical or biotechnology industry Demonstrated experience designing and implementing omnichannel engagement strategies in pharmaceutical commercial organizations Strong understanding of pharmaceutical marketing regulations and compliance requirements (e.g., FDA promotional guidelines, MLR review processes) Experience implementing or managing marketing automation, CRM platforms, and digital engagement ecosystems commonly used in pharma environments Hands-on experience building or deploying AI-enabled tools or software capabilities that support next best actions, predictive targeting, or marketing optimization Strong understanding of data-driven marketing, customer journey orchestration, and campaign analytics in healthcare or life sciences Experience supporting pharmaceutical product launches or pre-launch commercial environments strongly preferred Excellent communication and stakeholder management skills and the ability to collaborate across marketing, sales, analytics, IT, and compliance teams Compensation Description (annually): Our compensation package for permanent hires includes base salary, discretionary bonus, and equity, alongside our comprehensive benefits offering. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. 【Base salary per annum】: $180,000 — $250,000 USD Benefits: For an overview of our benefits package and compensation information, please visit  " Joins us - Our Benefits ". These include f lexibility & generous time off, parental & reproductive support, health & medical, mental health & wellbeing and Financial health. Equal opportunities: Reasonable accommodation We are committed to building a workplace where everyone’s wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know. UK applicants We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability. US applicants Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law. Sponsorship : Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying. Data Privacy: All data is confidential and protected by all legal and data privacy requirements, please see our recruitment Privacy Notice to learn more about how we process personal data.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Corporate Development Associate plays a key role in supporting Nebius’s capital formation strategy and execution across debt, equity and structured capital soutions to support the company’s rapid expansion. This role drives financial analysis, supports execution of financing transactions, and works closely with internal and external stakeholders to optimise capital structure and fund growth initiatives. In addition, the role may also support M&A and related strategic initiatives. The position requires strong financial and capital markets acumen, the ability to manage multiple work streams, and a proactive approach to evaluating financing options in dynamic market environments. You’re welcome to work hybrid from London. Your responsibilities will include: Support the evaluation and execution of fundraising initiatives across a broad spectrum of instruments. Work closely with in-business finance and FP&A colleagues to build and maintain detailed financial models to assess capital structure, cost of capital, leverage capacity, and scenario outcomes. Prepare materials for financing processes, including investor presentations, lender materials, and internal investment memoranda. Coordinate work streams across financing transactions, working with internal teams (finance, legal, treasury) and external advisors (banks, investors, rating agencies). Support structuring of financing solutions, including debt instruments, hybrid securities, and other tailored capital solutions. Manage data rooms, diligence processes, and information flows for investors and lenders. Track and maintain relationships with financing counter parties, including banks, institutional investors, and alternative capital providers. Provide analytical support for broader corporate development activities, including selective M&A or strategic investments as needed. We expect you to have: 3+ years of experience in investment banking, capital markets, private credit, structured finance, or related roles or Corporate Development Associate from big tech industry Asset backed finance / debt experience Strong understanding of debt products, equity and equity-linked instruments, and capital markets dynamics. Experience supporting or executing financing transactions (e.g., debt issuance, structured financing, equity raises). Advanced financial modelling skills, including capital structure analysis and scenario modelling. Strong analytical and problem-solving skills with high attention to detail. Excellent communication skills and experience preparing materials for internal and external stakeholders. Ability to manage multiple work streams and operate effectively in fast-paced environments. High level of ownership, judgement, and ability to work with ambiguity. It will be an added bonus if you have: Experience with structured finance, private credit, or hybrid instruments. Exposure to technology, infrastructure, or high-growth environments. Understanding of M&A processes. 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: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. GTM Engineer GTM Engineer (Applied AI) Location: Dublin or London About Fin Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. The team GTM Engineering builds the tools that help our Sales and Customer Success teams win more deals, grow accounts and keep customers. The aim is tools that make a real difference to pipeline, win rate and retention, and give reps more time with customers. To do that, we join data most GTM tools never see: how customers use the product, what was said on every sales call, how Fin performs for each customer, and everything in the CRM. On top of that we build agents and models that tell reps which accounts need attention, prepare them for calls, flag buying and churn signals, explain why deals are won and lost, and draft research and outreach. The role We're looking for a GTM Engineer to own a business problem from start to finish. You'll start with a commercial question or problem, you'll work out with reps and leaders whether it's worth solving and what success looks like. Then you'll build the data, the agent and the product, and get it into the daily routine of the people it's for. Once it's live, you'll own making it better. You'll understand how it behaves in production, find where it fails, improve how it decides or acts, and work out whether it's making a difference. That includes deciding when something isn't working and should stop. What you'll do: Build and ship AI agents and LLM-powered tools for Sales and Success, such as account research, call prep, post-call follow-up, renewal risk and pipeline review. Own the full stack: Python backends and APIs, data models in Snowflake, feedback pipelines, and React frontends where a tool needs one. Instrument what you build. Trace agent actions, tool calls, failures and the edits reps make to agent output, so you can see where quality breaks down. Set the quality bar with the people who use the tools. Build evaluation sets, grade output with human and model graders, and run regression tests and production monitoring. Diagnose weak results across context, data, tools, prompts and workflow design. Test the fix on replays of past traffic before it ships. Decide what an agent can do on its own and where a rep reviews its work first, and build the guardrails and review steps to match. Measure adoption and business impact on conversion, win rate, cycle time and retention. Use experiments and staged rollouts where you can. Get tools into teams' hands. Write the playbook, run the enablement session, and work with sales leaders so the tool becomes part of how their team works. What you bring 4+ years building production software, applied AI systems or data products. You've built LLM-powered applications or agents that real users rely on. You've improved an AI system after launch using traces, user feedback, evals or experiments. Hands-on evaluation experience, such as building regression tests and grading output with humans or models. Strong Python and SQL. You're comfortable designing APIs and data models. You can measure impact with rigour and tell whether a metric moved because of your change. Product judgment. You can sit with a sales rep, work out what they need, and decide what to build first. You use AI coding tools heavily and know how to get reliable work out of them. Nice to have Experience with GTM systems such as Salesforce, Gong or Outreach. dbt, Airflow or other data orchestration tools. Agent evaluation or observability tools. Time spent in, or building for, a sales, CS or revenue operations team. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

О ПРОЕКТЕ Мы создаем масштабируемый крипто-продукт и ищем сильного инженера, готового войти в команду на этапе запуска. Роль предполагает прямое влияние на архитектуру системы и участие в принятии ключевых технических решений с нуля. ОСНОВНЫЕ ЗАДАЧИ — Энд-ту-энд разработка и развитие веб-приложения (Frontend + Backend). — Проектирование масштабируемой архитектуры совместно с лидами. — Реализация API, интеграция внешних сервисов и оптимизация производительности. — Обеспечение качественной адаптивной верстки и стабильности клиентской части. — Участие в формировании технического вектора развития продукта. ТРЕБОВАНИЯ К КАНДИДАТУ — Опыт коммерческой Full-Stack разработки от 3 лет. — Экспертное владение Node.js (Express) и TypeScript. — Уверенная работа с одним из фреймворков: React, Vue (Nuxt.js) или Angular. — Глубокие знания PostgreSQL и опыт проектирования реляционных баз данных. — Понимание принципов REST API и паттернов проектирования. БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт в Web3/Crypto проектах или работа со смарт-контрактами. — Навыки построения высоконагруженных (Highload) систем. — Опыт работы с Docker и настройки CI/CD пайплайнов. УСЛОВИЯ РАБОТЫ — Полностью удаленный формат в часовом поясе, близком к МСК. — Возможность стоять у истоков продукта и влиять на финальный результат. — Отсутствие легаси-кода и бюрократии стартапа ранней стадии. — Стабильные выплаты в цифровых активах.

Location: Taiwan, Taipei City 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. Principle Duties / Responsibilities: In this role, you will lead manufacturing and production optimisation initiatives for several high-profile products from early-stage development through mass production and sustaining engineering phases. As a leader within our development team, you will build and maintain positive working relationships between technical teams, contract manufacturing partners and business/product owners to deliver on strategic product development and sustaining initiatives. A successful Senior Manufacturing Engineer is energetic, detail oriented, motivated and an excellent communicator. They should be familiar with the different stages of product development, manufacturing, project management methodologies and working with contract manufacturing partners to create best-in-class consumer electronic devices. The successful applicant is: Able to analyse production processes, schedules, methods and other data to provide management with justified recommendations for improving various manufacturing process. Focused on continuous production improvement opportunities Able to review and calculate labor, material and other production costs to identify areas of cost reduction and improve manufacturing efficiencies Well versed in quality control processes identifies areas for improvements in quality control. Excited to champion colour variation, limited edition and sustaining engineering related efforts to further promote and improve our growing line of PlayStation products Experienced in manufacturing, process engineering, logistics, strategic component sourcing, risk mitigation and/or supply chain management. Results oriented with attention to detail and a strategic long-term planning perspective Proficient at addressing various partners from individual contributors, up through senior leadership. Technically proficient and has prior contract manufacturing partner management experience. A liaison to vendors and technical teams to design, develop and deliver products on time and within budget Familiar with product lifecycle management methodologies and tools such as Arena Required Knowledge / Skills: Self-motivated with incredible attention to detail Deep understanding of manufacturing methodologies related to consumer electronic device production Excellent written and verbal communication skills Must be inventive and seek solutions through information gathering, partner discussions, and/or judgment calls Experience in the video game industry is not required, but interest and passion for gaming, digital entertainment, consumer electronics, and technology is a plus Qualifications: Required Experience / Education: Bachelor’s degree or equivalent in engineering related fields preferred. 7+ years of validated experience in product development or manufacturing related roles with a strong background of supporting the development of new consumer electronic devices Led overseas manufacturing partners in planning and performing development builds and new product development stages Capable of leading development schedules, production planning and materials readiness efforts to meet product development landmarks. Coordinating production readiness with engineering, operations, and internal/external teams Optimise production and throughput Proficient with multiple software platforms such as MS Office, Confluence, Jira Working Conditions: Strategically located in Taiwan to better support our Asia manufacturing supply chain and Tokyo team member interactions International travel required. Estimated 15 - 20% Individual Contributor: Does not have direct supervisory responsibilities nor budgetary or hiring accountabilities 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: Remote - 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 Nebius is looking for a Sr. Solutions Engineer, you will act as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on Nebius. You will bridge customer requirements with internal engineering capabilities, ensuring successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. Your responsibilities will include: Acting as the main technical interface for customers running workloads on Nebius GPU infrastructure. Supporting customers in deploying, configuring, and tuning GPU-based environments for performance and reliability. Investigating and resolving complex issues spanning hardware, networking, operating systems, and cluster-level behavior. Partnering with internal teams (data center operations, networking, platform engineering) to coordinate and drive resolution of customer-impacting issues. Converting customer requirements into practical architectures, configurations, and execution plans. Identifying opportunities to improve system performance, stability, and overall customer experience. Developing and maintaining technical documentation, including solution patterns, troubleshooting guides, and operational best practices. Contributing to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams. We expect you to have: Experience in a customer-facing technical role (e.g., solutions engineer, support engineer, technical account manager, or similar). Strong understanding of GPU infrastructure, including NVIDIA-based systems, multi-node environments, and performance considerations. Hands-on experience with Linux systems and system-level troubleshooting. Familiarity with large-scale compute environments such as GPU clusters, AI infrastructure, or supercomputing systems. Ability to diagnose issues across hardware, networking, and software layers. Strong analytical and problem-solving skills, with the ability to operate effectively in high-pressure situations. Excellent communication skills, with the ability to explain complex technical concepts clearly to customers. A proactive, ownership-driven approach with a strong focus on customer success. It would be an added bonus if you have: Experience working with NVIDIA Grace Blackwell or similar next-generation GPU platforms. Experience with cluster validation, benchmarking, or performance testing tools (e.g., HPL, NCCL) Key employee benefits: 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. Compensation We offer competitive salaries ranging from $180K to $220K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. Join Nebius Today! 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: 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. About the Role We are looking for a strong Engineering Manager to lead a high-impact team within PlayStation’s Client Developer Experience (DevEx) team. This role sits at the center of how developers build, test, and ship software across client and system software teams. You will lead the development of modern developer platforms and tools, including documentation systems, intelligent search, performance tooling, and AI powered experiences. This role requires a balanced leader, someone who can grow and manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed. You will operate across frontend-heavy developer experiences (JS, React, React Native) as well as backend/platform systems, shaping solutions that are both technically sound and highly usable for developers. What You’ll Do Lead, grow, and mentor a team of engineers, building a high-performing, ownership driven culture Drive delivery of developer platforms and tools used across PlayStation Provide technical leadership at both code and system design levels, especially for frontend and developer-facing systems Guide the design and evolution of complex, scalable systems across frontend, backend, and platform layers Partner with AI/ML, QE, System Software, and Product teams to align on priorities and execution Influence cross-team technical decisions and ensure strong alignment across partner organizations Balance short-term delivery with long-term platform strategy Ensure high-quality developer experiences by focusing on usability, performance, and reliability Identify gaps, remove blockers, and drive clarity in ambiguous problem spaces What We’re Looking For 7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams. Strong technical background with hands-on understanding of frontend systems (JavaScript, React, React Native) and solid backend/platform fundamentals Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers) Proven experience designing and delivering complex, distributed systems Track record of building and scaling high-performing engineering teams Experience working on developer tools, internal platforms, or productivity systems Strong ability to influence and align stakeholders across teams Excellent communication skills across both technical and non-technical audiences Ability to operate effectively in fast-moving, ambiguous environments Bachelors degree or equivalent Nice to Have Experience with Python or backend services supporting developer platforms Experience with AI/ML-driven workflows or developer tooling Background in performance profiling and or developer ecosystems Experience in large-scale, multi-team environments You will operate in a role that requires leadership, technical depth, and cross-org influence 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 color, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, birthing parent or parental status, trade union membership or membership in any other legally protected category. We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. #LI-AT1 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. $201,400 — $302,000 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.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: 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 Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems. Your responsibilities will include: Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments Develop and maintain network design documentation, standards, and operational procedures Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6) Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure Automate network operations and workflows to improve reliability, scalability, and operational efficiency Ensure high availability and performance of production networks through proactive monitoring and continuous improvement What we expect you to have: Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies Deep expertise in routing protocols including BGP and IS-IS Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing Proven experience designing and documenting large-scale network architectures Experience developing and executing network testing strategies and validating vendor solutions Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox Working proficiency in English It will be an added bonus if you have: Working proficiency in an additional European language Experience with public cloud networking and GPU/InfiniBand environments Knowledge of software-defined networking (SDN) overlays in cloud environments Proficiency in Python, Go, or other programming languages in Linux environments Experience using programming languages for network automation and tooling Working conditions: Remote work within the United States Work closely with globally distributed infrastructure and engineering teams Participation in on-call rotations to support production environments Key employee benefits: Comprehensive health insurance 401(k) plan with company contribution Paid time off and public holidays Flexible working hours Professional development and certification support Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications 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: United States What the Role Is The modern tech stack has collapsed the distance between designing an experience and shipping it. We're hiring Staff Product Designers to build the next generation of Babylist by leveraging this reality. The Staff Product Designer is the durable design owner of a major Babylist experience - the person the rest of the company looks to when a hard question about that experience has to get answered. Equal parts skilled designer, hands-on researcher, and AI-enabled builder, you own how things feel, think broadly about user flows across the full Babylist experience, and hold the vision for whether something is intuitive, beautiful, and emotionally right for the user. You work alongside product managers, engineers, and data partners, but you are the one driving the experience layer and making sure every interaction meets both the functional and emotional needs of our users to drive impactful outcomes for the business. You flex beyond the basics by running research, standing up working prototypes (in hours not days), and contributing to production-quality front-end code ensuring polish is never a trade-off. You help Babylist make the transition into AI-native product development by setting the standard others adopt for what an AI-native designer does every day — in your own work and in the codified workflows you set for the team around you. In this role, you shape how parents discover products, build their registry, receive gifts, and navigate early parenthood across web and native mobile. These are not casual interactions. Families are making decisions during one of the most meaningful and overwhelming transitions of their lives. The experience has to be easy to use, easy to understand, and worthy of the trust they place in us. Who You Are Craft and experience obsessed. You care deeply about how things feel, not just how they function — the transitions, motion, and details most people can't articulate but everyone responds to. You have a portfolio of shipped consumer product work across web and native mobile that proves it. A systems thinker. You see how a single interaction fits into a broader flow, how flows connect across products, and how the design system enables all of it. You design for coherence, not just screens. Industry aware and pattern fluent. You know the interaction patterns and design conventions that have become table stakes — and when to apply them versus evolve them for what Babylist families actually need. Human-and-data-centered. You plan and run generative and evaluative research yourself, bring concrete qualitative and quantitative evidence into design decisions, and communicate design rationale clearly and persuasively. A product strategist and critical thinker. You articulate and defend where a product is going and why, working backwards from a vision. You question assumptions and distinguish between what the data says and what people want it to say, bringing everyone from ICs to the C-suite along with clarity. Feedback fan. You build feedback loops into your process from the start — putting prototypes in front of users early, sharing in-progress work before it's polished, and actively soliciting critique that makes it better. AI-native and a real builder. You move from a rough concept to an interactive prototype in hours, not weeks, and write production frontend code yourself rather than depending on an engineer to translate your mock. You have a portfolio of work built this way. Outcome owner. You instrument your own work, track whether it's moving the right metrics, and make clean iterate/pivot/stop calls based on evidence, not attachment. Adaptable and low-ego. You jump in where needed across team boundaries without waiting for permission, and you bring curiosity to ambiguity rather than anxiety. You naturally reach for AI in your work . At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You Will Make An Impact Own a customer journey or major product experience end-to-end . Think holistically about user flows, brand expression, information architecture, and interaction patterns across the full Babylist product ecosystem - both web and native app - working with other designers and teams as needed. Set the design vision for your experience. Articulate where the experience should be in 12–18 months and define the sequence of bets that gets it there. Earn organizational alignment around a direction, not just consensus, and update your point of view with conviction and speed when evidence or business needs change. Design and build experiences that drive outcomes . That means using sound judgement to create experiences that solve real problems, are intuitive under stress, simple when decisions are complex, and delightful when the moment calls for it. Define excellence. Set the bar for quality, delight, and product excellence by demonstrating and teaching the organization what great looks and feels like. Eschew perfection for learning that propels the product toward your high bar. Stay deeply connected to users . Talk to customers. Plan and execute research to ground design decisions in how families actually behave. Create fast feedback loops through user testing, Babylist communities, and other channels. Your design decisions are grounded in reality, not assumption. Contribute to and evolve Babylist's design system . Build reusable components, define interaction patterns, and ensure consistency across web and native mobile. Operate with agency. Don't wait for permission — create the conditions for your success, starting before you have the full picture and bringing others along as you learn. High-velocity teams are the ones where agency is contagious. Build with AI-native workflows . Research synthesis, rapid prototyping, production code, design system evolution, interaction exploration. Show your team what's possible by doing it yourself leveraging AI - then share and teach what’s working. Write production frontend code . Work in the codebase to implement, refine, and polish the experiences you design. Close the gap between what a design looks like in Figma and what a user actually touches - finding and fixing rough edges without being asked. The transitions, the micro-interactions, the loading states, the empty states, the error states, the keyboard behavior. Own all of it. Scale design democratization. Build AI-enabled workflows that bring product managers, engineers, and other collaborators into design tools, creating the conditions for non-designers to contribute meaningfully to the experience layer. Act as a consultant and quality bar on that work, not a gatekeeper. Scale shared literacy around what good looks like, so the people working alongside you can make better decisions independently. Develop the designers around you. Give specific, timely feedback that makes their work measurably better. Contribute to hiring. Share the tools, patterns, and practices that help the broader team prototype faster, build with more polish, and ship with confidence. The designers who work alongside you should grow because of it. Multiply your team. Be an excellent partner to engineers, product managers, and analysts as your co-builders to move the highest-impact work forward with strong communication and collaboration. Bring tighter problem framing, sharper user insight, and prototypes that make decisions easier to make. Design the repeatable, low-friction systems that let everyone on your team, including you, ship faster without sacrificing quality. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $207,666 to $249,166 + target 20% annual bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist — we expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email — it's not us. Verify open roles at babylist.com/careers.

Location: New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. WHO WE ARE Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment   NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early. This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat.   RESPONSIBILITIES - Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you - Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload - Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread - Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline - Bring the field back to product. You see what early AI teams need before the rest of the market does   REQUIREMENTS - 2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing - Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers - Strong prioritization and project management instincts: you know which deal needs you today and you keep the rest alive - Comfortable selling to founders and technical buyers who expect substance, not a pitch - Thrives on intensity, ambiguity, and a fast-paced early-stage environment BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Kansas City, Missouri, 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 Team You will join a fast-growing Neocloud infrastructure organization operating at the intersection of AI, high-performance computing (HPC), and hyperscale cloud services . Our data centers host large-scale GPU clusters purpose-built for AI training, inference, and accelerated workloads. As global data center operations expand, this role offers significant career progression , direct involvement in new data center builds and expansions , and exposure to industry-leading GPU platforms . Your work will have a measurable impact on platform reliability, customer SLAs, and operational efficiency , while collaborating closely with experts in AI infrastructure design, cloud operations, and data center engineering . This is a highly collaborative, innovation-driven environment where best practices are continuously refined to exceed industry standards in design, deployment, and operations . The Role As an IT Manager , you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure. Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud clusters. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly. You’re also welcome to work on-site at our colocation facility in Kansas City Metropolitan Area Your responsibilities will include: Manage IT support team to achieve KPI in IT infrastructure support and project planning. Collaborating effectively with internal teams and external contractors to address technical and operational challenges. Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance. Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations. Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure. Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements. Manage additional processes around asset management, Return Merchandise Authorizations (RMAs). We expect you to have: 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues. A solid understanding of data center operations, as well as server and network equipment principles. Practical experience in project planning and management. Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM). Basic proficiency in the Linux operating system and familiarity with command-line tools. Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables. Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation. A proactive, responsible and goal-oriented approach to work. It will be an added bonus if you have: ITIL and/or PMI certification. Compensation: $146,880 – $220,320 + Bonus USD per year, depending on experience and qualifications (Annual Bonus Eligible) 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 $146,880 — $220,320 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.