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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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. Sony Interactive Entertainment Security Architecture | Cloud | AI Security | Enterprise Platforms We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems. Key Responsibilities Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk. Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls. Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services. Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms. Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows. Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services. Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls. Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments. Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness. Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background. Required Qualifications 15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level. Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments. Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud. Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs. Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls. Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle. Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations. Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams. Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience. Preferred Qualifications Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments. Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems. Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments. Development or automation experience in Python, C++, Java, or similar languages. Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement. Penetration testing, adversarial security, or attacker-minded design experience. Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field. 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: A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Abovyan, Armenia; Aix-en-Provence, France; Alanya, Türkiye; Algarve, Portugal; Alicante, Spain; Almería, Spain; Amsterdam, Netherlands; Amstetten, Austria; Angers, France; Antalya, Türkiye; Antwerp, Belgium; Athens, Greece; Avignon, France; Ayia Napa, Cyprus; Barcelona, Spain; Bari, Italy; Benalmádena, Spain; Bergen, Norway; Berlin, Germany; Bern, Switzerland; Bologna, Italy; Bordeaux, France; Braga, Portugal; Brno, Czechia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Budapest, Hungary; Cascais, Portugal; Cluj-Napoca, Romania; Cologne, Germany; Coimbra, Portugal; Copenhagen, Denmark; Córdoba, Argentina; Cork, Ireland; Dublin, Ireland; Dubrovnik, Croatia; Düsseldorf, Germany; Eberstalzell, Austria; Eisenstadt, Austria; Eindhoven, Netherlands; Essen, Germany; Florence, Italy; Frankfurt, Germany; Freiburg, Germany; Galle, Sri Lanka; Galway, Ireland; Gdańsk, Poland; Geneva, Switzerland; Ghent, Belgium; Gibraltar; Girona, Spain; Gothenburg, Sweden; Graz, Austria; Hamburg, Germany; Hanover, Germany; Helsinki, Finland; Île-de-France, France; Innsbruck, Austria; Kraków, Poland; Kranj, Slovenia; Larnaca, Cyprus; Leibnitz, Austria; Leipzig, Germany; Leon, Mexico; Liepāja, Latvia; Limassol, Cyprus; Limbourg, Belgium; Limerick, Ireland; Lisbon, Portugal; Ljubljana, Slovenia; Łódź, Poland; Lyon, France; Maastricht, Netherlands; Madrid, Spain; Málaga, Spain; Balearic Islands, Spain; Marbella, Spain; Maribor, Slovenia; Marseille, France; Montpellier, France; Montevideo, Uruguay; Murcia, Spain; Oslo, Norway; Osnabrück, Germany; Pilsen, Czechia; Piran, Slovenia; Pljevlja, Montenegro; Plovdiv, Bulgaria; Porto, Portugal; Poznań, Poland; Prague, Czechia; Prešov, Slovakia; Ptujska gora, Slovenia; Pula, Croatia; Riga, Latvia; Rome, Italy; Rotterdam, Netherlands; Saint-Tropez, France; Salzburg, Austria; Sardinia, Italy; Seville, Spain; Siena, Italy; Sintra, Portugal; Sofia, Bulgaria; Split, Croatia; Stockholm, Sweden; Stuttgart, Germany; Tal-Pietà, Malta; Tarragona, Spain; Thessaloniki, Greece; Toulouse, France; Torremolinos, Spain; Utrecht, Netherlands; Valencia, Spain; Venice, Italy; Verona, Italy; Vienna, Austria; Vila Nova de Gaia, Portugal; Warsaw, Poland; Wrocław, Poland; Würzburg, Germany; Wörgl, Austria; Zürich, Switzerland Workplace: fully David Kennedy Recruitment is expanding and is seeking to onboard an experienced Freelance Recruitment Partner to support its growing portfolio of international clients across AI, SaaS, technology and digital businesses . This is a remote, success-based partnership for genuine recruitment specialists who can source, engage, screen and deliver strong candidates, rather than simply forward CVs. Position: Fixed Term or Freelance Recruiters Location: Remote, Europe Employment type: Freelance - able to invoice (SLA) Remuneration: Commission per placed candidates RESPONSIBILITIES: Source, engage and screen candidates across AI, tech and digital disciplines for DKR's international clients Headhunt proactively using LinkedIn Recruiter, Boolean and X-ray search Assess technical experience, portfolios and candidate suitability against client requirements Deliver high-quality, well-screened candidates to active vacancies Draw on your existing candidate networks across Europe and international markets Work independently across multiple vacancies, with a focus on quality over volume Areas of recruitment AI/ML Engineers, Software Engineers and Ruby on Rails Developers Cybersecurity and Application Security Engineers Senior Product Managers and Product Designers Performance Marketing, Paid Media and Affiliate Marketing AI-native technology and digital product professionals REQUIREMENTS: Proficient in English (spoken and written) - this is a must! 5+ years of recruitment experience Proven experience recruiting technical and digital professionals internationally Strong LinkedIn Recruiter, Boolean, X-ray and proactive headhunting skills Ability to assess technical experience, portfolios and candidate suitability Existing candidate networks across Europe and international markets Excellent English communication skills Independent, proactive and quality-focused BENEFITS: Embrace the freedom and flexibility of fully remote work from anywhere in the world and managing your own schedule Access to an established portfolio of international clients Multiple active vacancies across specialist disciplines Fully remote, flexible freelance collaboration Success-based recruitment partnership Long-term opportunities for consistent recruitment activity Enjoy the smoothness, fairness and clarity of collaboration with David Kennedy Recruitment

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. About Tavily Tavily provides the search and retrieval infrastructure powering AI applications and agents. Backed by Nebius, we're helping enterprises and developers connect AI systems to trusted, real-time information. The role Tavily is building the search infrastructure for the agentic AI era. As AI agents move into production, reliable access to real-time information is becoming critical infrastructure. We are looking for a Head of Strategic Partnerships to build the ecosystem that accelerates Tavily's growth through strategic technology, OEM, distribution, and go-to-market partnerships. You’re welcome to work remotely from the United States. Your responsibilities will include: Define and execute Tavily's strategic partnership strategy Identify, develop, and close high-value partnerships across AI labs, model providers, cloud platforms, infrastructure companies, and enterprise technology providers Build OEM, embedded, distribution, and co-selling partnerships that drive ARR and adoption Develop executive-level relationships with key strategic accounts and partners Work cross-functionally with Sales, Product, Engineering, and Marketing to turn partnerships into measurable business outcomes Build the processes, strategy, and operating model to scale Tavily's partnerships function We expect you to have: 5+ years in strategic partnerships, business development, enterprise sales, or related leadership roles Proven track record of building and closing complex technology partnerships Strong network across AI, cloud, SaaS, or developer infrastructure Executive presence with exceptional relationship-building and negotiation skills Commercially driven with a demonstrated ability to turn partnerships into revenue Entrepreneurial, highly strategic, and comfortable operating in a fast-moving environment What success looks like: Success means building a strategic ecosystem that materially increases Tavily's ARR, distribution, product adoption, and market position. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-VC1 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. On Target Earnings Range $300,000 — $377,000 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.

Role We are looking for an Account Executive to join our team. This is a hybrid role based in Germany, reporting to the Sales Director in the Enterprise sales department. The Zscaler Sales and Go-to-Market team is a global group of professionals passionate about delighting customers and driving a secure, cloud-enabled digital future. In this role, you will take ownership of an assigned territory to demonstrate the power and agility of Zscaler cloud transformation and further cement our position as the world leader in cloud security. What you’ll do (Role Expectations): — Take ownership of an assigned territory in Germany focused on net new logo and up-sell opportunities with Enterprise prospects and customers — Demonstrate expertise in building business cases that clearly show value and differentiation at all levels of your customer and prospect organizations — Generate pipeline using new techniques, tools, joint field marketing initiatives, and top-tier channel partners including VAR, SI, and SP Who You Are (Success Profile): — Thrive in ambiguity and dynamic environments, comfortable building the path as you walk it — Act like an owner with passion for the mission and integrity — Problem-solver focused on finding solutions and delivering impact — High-trust collaborator, ambitious for the team, embracing challenge culture with ongoing feedback — Learner with a growth mindset, obsessed with personal development — Love what you do and do it with purpose What We’re Looking for (Minimum Qualifications): — Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain — 3+ years of sales experience with a revenue quota, selling to Enterprise accounts in Germany — History of net new logo accomplishments and clear understanding of leveraging channel partnerships — Willingness to be coached and discipline to work a proven sales process from beginning to end — Evidence of successful "team sales" and ability to leverage internal resources and partners — Fluency in German What Will Make You Stand Out (Preferred Qualifications): — Experience leveraging AI-powered sales intelligence, predictive forecasting, or conversational AI platforms to optimize enterprise territory planning and pipeline acceleration — Proficiency in strategic sales planning with experience closing net new logos — Consistent track record of winning business in Enterprise accounts Conditions: — Full-time employment — Hybrid work model based in Germany Salary: — Base salary range €82,250 to €117,500 EUR per year, excluding commission/bonus/equity and benefits — Individual pay placement based on objective, gender-neutral criteria including job-related skills, relevant experience, and education or training Benefits: — Various health plans — Time off plans for vacation and sick time — Parental leave options — Retirement options — Education reimbursement — In-office perks and more Equal Opportunity: — Commitment to building an inclusive environment valuing all backgrounds and perspectives — Equal employment opportunity without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or other protected characteristics Compliance: — Adherence to applicable laws, regulations, and Zscaler policies including security and privacy standards — Reasonable support accommodations in recruiting processes for candidates with disabilities, long term conditions, mental health conditions, sincerely held religious beliefs, neurodivergence, or pregnancy-related support Apply URL: https://weworkremotely.com/remote-jobs/zscaler-account-executive-enterprise-1

Role: We are looking for an Account Executive to join our team. This is a Hybrid, Chennai role, reporting to the Regional Sales Director in the Commercial Sales department. You will join a global group of professionals passionate about delighting customers and driving a secure, cloud-enabled digital future as the world leader in cloud security. As a key member of the Sales and Go-to-Market team, you will demonstrate the power and agility of cloud transformation while nurturing trusted partnerships to achieve shared success. What you’ll do (Role Expectations): — Understand and solve customer pain points through our unique value proposition while educating key decision-makers on inspiring technology — Act as the GM of your business by creating strategic success plans that include coverage, target prospects, and marketing campaigns — Implement world-class sales methodologies to consistently overachieve on quarterly and annual revenue goals — Collaborate with Sales Engineers to ensure the delivery of both business and technical value — Partner with the channel ecosystem to create joint plans, build pipeline, and lead opportunities to closure Who You Are (Success Profile): — Thrive in ambiguity and dynamic environments, building the path as you walk it — Act like an owner with passion for the mission and bias for action — Operate with integrity and leverage dynamic range between strategy and execution — Problem-solver focused on finding impactful solutions — High-trust collaborator, ambitious for the team — Embrace challenge culture with ongoing feedback — Learner with a growth mindset, obsessed with personal development — Passionate and purposeful in your work What We’re Looking for (Minimum Qualifications): — Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain — 8+ years of sales experience with a consistent track record of meeting revenue quotas, including 4+ years selling specifically to the commercial segment — Bachelor’s degree in Business or a related field — Progressive selling experience engaging with accounts and building relationships at the C-level — Experience working with channel partners to create joint plans and lead opportunities to closure What Will Make You Stand Out (Preferred Qualifications): — Experience demonstrating the business value of AI-driven security architectures or leveraging AI productivity platforms to optimize commercial sales pipelines — Experience selling security, SaaS, or software solutions — A history of career over-achievement, consistently ranking in the top 10% of your organization Conditions: — Hybrid work format in Chennai Additional Information: Zscaler offers comprehensive benefits including various health plans, time off for vacation and sick time, parental leave options, retirement options, education reimbursement, and in-office perks. By applying, candidates adhere to applicable laws, regulations, and Zscaler policies including security and privacy standards. Zscaler is committed to equal employment opportunities and fostering an inclusive environment. Pay Transparency and reasonable accommodations are provided in recruiting processes. To apply, visit: https://weworkremotely.com/remote-jobs/zscaler-account-executive-commercial

Location: Amsterdam, Netherlands; 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 We seek an experienced Senior Program Manager join the Strategic Initiatives team. In this role, you will be collaborating with various departments including, product, engineering, legal andfinance, leading technical product programs for the business. Your responsibilities will include: Own initiatives end-to-end, including scope, sequencing, dependency tracking and decision unblocking. Partner with product, engineering, legal, finance/SOX, sales, marketing and operations to deliver strategic initiatives. Proactively identify, communicate and escalate cross-functional risks before they affect delivery or launch. Create and maintain core planning documents, including PRDs, rollback plans, launch communications, risk logs and analytics. Lead stakeholder communications, including regular updates, field-team enablement, support training, marketing coordination and supporting materials. Report progress, risks, dependencies and blockers to initiative sponsors and the Strategic Initiatives Lead. We expect you to have: Strong experience in programme management, technical product management or a similar cross-functional delivery role. A proven track record of owning complex launches involving coordination across multiple teams. A hands-on approach, with the ability to organise, manage and deliver the work rather than only track progress. The ability to make sound decisions with incomplete information, resolve ambiguity and drive decisions through to completion. Experience working in cloud infrastructure, billing or another regulated commercial environment. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses. You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence. This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations. WHAT YOU'LL DO - Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions. - Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises. - Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight. - Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots. - Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support. - Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact. WHAT YOU HAVE - Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model. - Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny. - Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments. - An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire. - The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work. Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny. At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business. COMPENSATION $280,000 - $385,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses. You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence. This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations. WHAT YOU'LL DO - Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions. - Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises. - Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight. - Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots. - Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support. - Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact. WHAT YOU HAVE - Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model. - Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny. - Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments. - An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire. - The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work. Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny. At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business. COMPENSATION $280,000 - $385,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

About Our Client: Our Client is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. We are building innovative solutions to simplify procurement processes, empower businesses, and create meaningful impact. Role Summary: As a Senior Software Engineer, you'll be a key technical leader, driving the design, development, and maintenance of our core backend services. You'll collaborate extensively with product, frontend, and DevOps teams to architect and build highly scalable, efficient, and robust systems. Your contributions will directly enable our customers to optimize their procurement workflows and derive critical insights. This role demands a deep focus on crafting resilient APIs, optimizing database structures, and building seamless integration services that significantly enhance system performance and user experience. What You'll Do: — Lead System Architecture: Spearhead the architectural design of backend systems, ensuring they are secure, reliable, high-performance, and align with our long-term technical vision. — Develop Scalable Solutions: Design and implement sophisticated backend services, APIs, and microservices for our advanced procure-to-pay platform. — Cross-Functional Collaboration: Partner closely with product and other engineering teams to translate complex business requirements into elegant and effective technical solutions. — Integrate and Innovate: Drive integrations with critical third-party systems, including enterprise-grade ERPs like Oracle Fusion, to expand our platform's capabilities. — Optimize and Enhance: Take ownership of optimizing database queries and managing data storage solutions (with a focus on MongoDB), ensuring optimal performance and scalability. — Troubleshoot and Evolve: Proactively identify, troubleshoot, and resolve complex issues in existing backend systems, implementing upgrades and enhancements to continuously improve performance and scalability. — Mentor and Elevate: Provide technical leadership and mentorship to junior developers, championing best practices through rigorous code reviews and knowledge sharing. — Ensure Operational Excellence: Implement comprehensive monitoring, logging, and alerting solutions to guarantee the health, reliability, and proactive management of our systems. — Strategic Contribution: Play a pivotal role in strategic decisions regarding backend architecture, technology stack selections, and future platform evolution. What You'll Bring: — Extensive Backend Expertise: Strong hands-on experience as a MEAN Stack Developer with a proven track record of building and scaling complex backend systems. — Distributed Systems Mastery: Deep experience building distributed and scalable backend infrastructure with a microservices-first design philosophy. — API Design Proficiency: In-depth understanding and practical experience with RESTful API design and microservice architectures. — Core Technologies: Proficient in Node.js, Express.js or Nest.js, with a solid grasp of building REST APIs, Websockets, SQL/NoSQL Databases (MongoDB), message queues, distributed caches, and data pipelines. — Problem-Solving Acumen: Exceptional troubleshooting, debugging, and performance tuning skills. Nice to Have: — Experience with GCP deployments and pipeline management. — Prior experience integrating with external systems, especially ERPs. — Familiarity with AI/ML concepts and their application in backend services. — Knowledge of monorepos and tools like Nx.dev.

Location: Independence, Missouri, United States; 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. Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. Our teams bring together deep expertise across hardware, software, networking, data center infrastructure, and AI to build and operate the infrastructure behind large-scale GPU computing. The team You will build and lead the organization responsible for deploying and operating Nebius AI infrastructure at our Independence, Missouri campus. Your team will bring together data center IT operations, critical facilities, networking, logistics, operational readiness, and supporting functions. You will work closely with hardware, network, engineering, cloud, commercial, and corporate teams to bring compute capacity into service and establish reliable, scalable operations. The role We are seeking a General Manager, Data Center to lead the organizational build-out, hardware deployment, operational readiness, and ongoing performance of our gigawatt-scale data center campus in Independence, Missouri. This is an on-site leadership role with responsibility for the Independence campus. You will have autonomy to design the campus organization, select your leadership team, define reporting lines, and establish the operating model within agreed budgets and company standards. You will own operational readiness and campus performance across critical facilities and IT infrastructure, aligning people, systems, and service partners to deliver reliable customer capacity. The facility is currently under construction. You will partner with construction, engineering, and critical facilities teams to align facility completion, commissioning, and handover with hardware deployment and operational readiness. You will establish the operating team and coordinate GPU, server, network, and storage installation, integration, acceptance testing, and cloud readiness with the responsible technical teams and service providers. This role offers the opportunity to shape the operating practices that support Nebius as its AI infrastructure business grows. Your responsibilities will include: Organization Design and Leadership Design and build the campus organization, including functional leadership, building and shift coverage, reporting lines, and clear decision authority. Hire, lead, and develop directors, data center managers, and operations teams in partnership with Talent Acquisition and HR. Own the phased workforce plan, aligning recruitment, training, contractor support, and leadership coverage with hardware deployment, acceptance testing, and production milestones. Establish performance expectations, consistent technical competency standards, and succession plans that support reliable campus operations and sustained performance. Operational Deployment and Readiness Own the integrated operational readiness plan connecting facility completion and handover milestones, equipment delivery, hardware installation, network and storage integration, staffing, and customer service readiness. Coordinate with construction and facilities teams to verify power, cooling, and space readiness before deployment; manage dependencies and escalate gaps that could delay bringing capacity into service. Define operational acceptance criteria for the campus and deployed infrastructure, coordinate readiness and acceptance testing with technical owners, and accept or withhold operational handover against agreed requirements. Ensure trained teams, tested procedures, critical spares, asset records, monitoring, and vendor support are in place before production operations begin. Coordinate GPU, server, network fabric, storage, and cloud readiness with technical owners, and jointly confirm that released capacity can support customer workloads. Sequence hardware installation, integration, and production changes to protect live environments as additional compute capacity comes online. Campus Operations and Reliability Own end-to-end campus operations across critical facilities and IT infrastructure, delivering agreed uptime, performance, and service levels. Establish 24/7 coverage, maintenance governance, change control, incident command, root-cause analysis, and business continuity practices. Ensure clear responsibility across power, liquid cooling, controls, hardware, networking, and cloud interfaces; hold owners accountable for corrective actions. Use monitoring, automation, and performance reporting to improve deployment throughput, repair turnaround, reliability, and operating efficiency. Financial Capacity and Asset Management Own campus operating budgets, workforce costs, vendor expenditure, and forecasts within delegated authority; contribute to capital planning and investment priorities. Align power, cooling, rack space, equipment, and staffing capacity with deployment plans, and address constraints affecting customer commitments. Establish asset inventory, receiving, logistics, critical spares, repair, warranty-return, and secure disposition processes. Track budget variance, rework, delayed capacity, and operational losses; drive corrective actions and report financial impacts clearly. Partners, City Coordination, Safety and Executive Accountability Serve as the primary operational interface with utilities, infrastructure providers, equipment manufacturers, vendors, and service partners. Coordinate with City of Independence departments alongside Public Affairs and Legal on site readiness, permitting and inspections, utility interfaces, emergency preparedness, and ongoing operational matters; align external communications and commitments with the responsible teams. Hold providers accountable for safety, quality, delivery milestones, response times, and contractual service performance. Ensure safety, environmental, physical security, and applicable compliance requirements are implemented with the responsible specialists and corporate teams. Provide executive visibility into launch progress, workforce readiness, operating performance, financial forecasts, and risks requiring decisions. Operational Scalability and Leadership Development Develop repeatable deployment standards, staffing models, acceptance practices, and operating procedures that support the campus as compute capacity scales. Build leadership succession and delegation practices that sustain reliable operations and develop future infrastructure leaders. Share lessons and operational improvements with the broader Nebius infrastructure organization. We expect you to have: 10+ years of experience in data center, cloud infrastructure, or comparable mission-critical operations, including senior leadership responsibility. A track record of building and scaling organizations and leading managers across multiple technical and operational functions. Experience leading hardware deployment, infrastructure integration, operational acceptance, or major compute capacity expansion into production service. Strong understanding of critical facilities, including power and cooling, and how those systems affect IT availability and high-density compute operations. Leadership experience across compute, networking, storage, and infrastructure lifecycle management, with the technical judgment to coordinate specialist teams. Demonstrated ownership of operating budgets, workforce planning, vendor performance, and executive reporting. Experience leading incident response, change management, risk reduction, and service improvement in high-availability environments. The ability to exercise sound judgment, make decisions with incomplete information, address underperformance directly, and align stakeholders around clear outcomes. Ability to work on site in Independence, Missouri and provide visible leadership through deployment, launch, and ongoing operations. Nice to have: Experience in hyperscale, AI, GPU, or high-performance computing environments, including large-scale GPU deployments and high-density infrastructure. Experience with liquid-cooled environments and the operational interfaces between cooling systems, GPU platforms, and network fabrics. Experience managing multiple campuses or regional operations and transferring operating practices across sites. Experience building operating organizations and establishing processes during initial hardware deployment and the transition into production service. Experience using infrastructure automation, telemetry, and reliability data to improve capacity delivery and operating performance. 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 and life insurance: Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $240,500 — $300,600 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a talented Legal Counsel APJ to join our dynamic legal team. In this role, you will support Nebius’ expanding operations across APJ. You will work closely with our procurement and infrastructure teams to enable strategic sourcing initiatives while ensuring compliance with applicable laws and internal policies in the APJ region Your responsibilities will include: Advise on and negotiate procurement contracts, including data center acquisition or development, co-location and lease agreements, and related services in the Asia-Pacific and Japan region. Support the acquisition of permits and licenses required for infrastructure projects. Draft, review, and manage a broad range of commercial agreements globally. Coordinate and manage external counsel to ensure cost-effective, high-quality legal support. Monitor regulatory developments affecting Nebius’ infrastructure and procurement activities. Collaborate with cross-functional teams to optimize procurement processes and risk management. We expect you to have: Master’s degree from a reputable university. At least 5 years of relevant experience in a law firm or in-house legal department in the APJ region, with a focus on procurement, real estate, or energy/infrastructure projects. Strong understanding of commercial law. Able to work under short deadlines. Excellent communication and contract negotiation skills in English. Proactive, pragmatic, and business-oriented approach with the ability to work independently. Proactive problem-solving and ownership mindset Ability to collaborate across teams and cultures #LI-DY1 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: 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. About Tavily 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. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them . You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Canada Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata is building a team of Prompt Engineers to leverage large language models (LLMs) to automate and optimize data annotation and human evaluation workflows. In this role, you will design and implement effective prompt strategies that improve accuracy, localization, and cultural alignment in data labeling and translation processes. Working closely with Product, Data Science, Operations, and client stakeholders, you will translate business requirements into scalable AI-driven solutions. You will identify automation opportunities, develop prompt-based workflows, and continuously measure and refine performance to ensure high standards of quality and reliability. This position offers the opportunity to directly impact efficiency, scalability and innovation for a leading global technology partner. What You’ll Own: Collaborate with data scientists, linguists, and localization experts to ensure accuracy and cultural relevance. Prototype and validate AI models to demonstrate initial feasibility, potential impact, and overall effectiveness. Design, develop, and implement prompts for data labeling and localization processes within software applications. Understand the current components of the software stack, use cases and problems and iterate on solutions leveraging a solid knowledge of data structures, data formats, and data modeling. Conduct user testing and feedback analysis to optimize prompt design for data accuracy and linguistic consistency. Analyze model performance using key performance indicators (KPIs) and metrics, ensuring that AI models meet customer acceptance criteria and deliver high-quality outputs. Communicate technical findings and solution strategies to both technical and non-technical stakeholders, including presenting model performance and actionable insights in a clear, accessible manner. Collaborate on data pipelines and workflows that integrate LLMs into automated systems, enhancing both the efficiency and effectiveness of data annotation tasks. Create guidelines and training materials for prompt usage in data labeling and localization projects. Stay informed on data labeling and localization industry trends and tools to enhance prompt engineering techniques. You’ll Thrive in This Role If You Have: 2 years of prompt engineering / LLM fine-tuning, or related AI/ML roles. Familiarity with tools/platforms for annotation and human-in-the-loop workflows (e.g., Labelbox). Experience designing and automating data annotation workflows. Knowledge of data annotation and the challenges of scaling human-in-the-loop workflows. Familiarity with cloud platforms, containerization, and model deployment. Deep understanding of LLMs (e.g. transformer-based architectures). Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks. Strong expertise in Python for NLU, for data processing & transformation, and for statistical analysis. Familiarity with JSON, Javascript or XML. Experience with popular frameworks and libraries, including TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools. Familiarity with APIs and platforms for working with LLMs (e.g., OpenAI, Hugging Face, etc.). Knowledge of localization best practices and cultural nuances for different languages and regions. Strong understanding of LLM evaluation metrics and the ability to assess model reliability, bias, and generalizability. Experience working with data pipelines, automation tools, and integrating models into production systems to ensure scalable, reliable solutions. The expected salary range for this position is $80,000 – $90,000 CAD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a APAC Regional Security Manager. In this role, you will be r esponsible for the security strategy, governance, and operational oversight of all sites within a defined geographic region. Your responsibilities will include: Lead and oversee security operations across multiple sites and data centers in the region. Ensure compliance with corporate security standards, policies, and regulatory requirements. Manage regional security budgets, forecasts, and resource planning. Support site security teams and guide risk mitigation and security best practices. Lead regional incident management and escalation processes. Drive security projects, audits, assessments, and continuous improvement initiatives. Coordinate with internal stakeholders, vendors, and local authorities. Report regional security performance, risks, and KPIs to senior leadership. We expect you to have: Proven experience managing large-scale security operations globally. Deep understanding of data center security and compliance frameworks. Strong leadership, strategic thinking, and communication skills. Experience managing teams and influencing senior stakeholders. Excellent English – Written and spoken Working knowledge of spoken and written English It will be an added bonus if you have: Background in governmental security systems. Familiarity with access control systems (ACS) and CCTV. Experience in large, global organizations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Principal Machine Learning Engineer in Twilio’s Customer Memory Team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial. Prior experience working in a globally distributed team. Location This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Задачи: — Развивать AI-агентов и автоматизацию бизнес-процессов, включая анализ процессов и интеграций. — Формировать требования к LLM-решениям и оценивать их качество. Требования: — Опыт 3+ года в системном или бизнес-анализе. — Знание BPMN, REST, JSON, API/OpenAPI. — Владение SQL. — Опыт работы с Jira и Confluence. — Понимание AI/LLM-агентов, промптов и сценариев их работы. Будет плюсом опыт в AI/ML, банковских системах, информационной безопасности и продуктовой аналитике.