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Location: San Francisco; New York City Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - JD and bar admission - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review - Founder or early-startup operating experience - Strong network across AmLaw 100 firms and Fortune 500 legal departments If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: San Francisco; New York City Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious. ABOUT THE ROLE Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data. At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers. As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform. RESPONSIBILITIES OWN STRATEGIC LEGAL ENGAGEMENTS - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales BE THE DEMO AND TECHNICAL PROOF ENGINE - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel BRING DOMAIN JUDGMENT TO THE PRODUCT - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks OPERATE AS THE COMMERCIAL LEAD - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close - Create urgency, write crisp follow-ups, and know when to push and when to wait QUALIFICATIONS - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists NICE-TO-HAVES - JD and bar admission - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review - Founder or early-startup operating experience - Strong network across AmLaw 100 firms and Fortune 500 legal departments If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. Riot Games Esports is setting the standard for the industry. We're looking for passionate individuals with a desire to build products that serve as a gateway to sports fandom. As a Staff Software Engineer in the Esports Platforms team, you will work with a team of producers, designers, and engineers to prototype, build, and own products to foster the Esports ecosystem. The web application this role owns, develops, and maintains sits at the heart of Riot Esports. You’ll shape the experience of professional and amateur competitive players, from tournament creation to the most exciting moments, such as getting into a match. Responsibilities: Drive the development of Esports applications primarily using web technologies, while integrating with Esports and Game Services, providing technical guidance and hands-on code contributions Provide technical leadership within the team and adjacent teams to deliver high-quality, scalable, and reliable engineering solutions Contribute to technical planning and architecture decisions, balancing long-term sustainability with near-term delivery needs Partner closely with cross-functional partners (product, production, QA, design, data) to deliver great Esports experiences Mentor other engineers on technical and interpersonal skills Write clear documentation and communicate technical details across disciplines Participate in the on-call rotation, triage & resolve live incidents and propose solutions through RCAs Required Qualifications: 6+ years of industry experience in software engineering, with demonstrated technical leadership on complex projects Bachelor's, Master’s degree in Computer Science or a related field, or comparable experience in software development. Strong proficiency with web technologies, with working experience in Typescript, React & NextJS Have been responsible for driving the design and leading of development of large-sized efforts (6-month+ scope), including requirements gathering, planning, development, testing, and release Solid communication and collaboration skills, with experience working across disciplines and teams Demonstrated examples of setting engineering policy and standards across teams or initiative Desired Qualifications: Experience with PaaS Vendors like Netlify or Vercel Experience with GraphQL Experience with test automation frameworks like Playwright or Cypress Familiarity with Riot’s Esports titles Familiarity with tournaments and tournament formats For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Bangalore; EU Remote Workplace: Remote About the role Cyberhaven is redefining data security by tracing how sensitive data actually moves across endpoints, cloud, SaaS, and now AI tools and agents. Our AI Security team builds the backend systems that give enterprises real-time visibility and control over how their data flows into and out of LLMs, GenAI applications, and autonomous agents. We're looking for a Staff/Principal Backend Software Engineer to be one of the most senior technical voices on this team: an early contributor with substantial influence over the architecture of a new and rapidly evolving product line, solving multiple exciting technical challenges along the way. What you'll do - Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements. - Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come. - Architect and implement security features that protect customer data end-to-end. - Solve real-world scaling problems that require thorough performance analysis and troubleshooting. - Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd. - Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools). - Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. - Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow. Who you are - You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features. - You have deep, hands-on experience developing large applications in Go. - You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus. - You have experience profiling and optimizing distributed code that uses large databases and streaming platforms. - Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms. - You have hands-on production experience with microservices and Kubernetes. - You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US. - You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity. - You have a customer-centric mindset and enjoy direct feedback from customers. - You are based in India or the EU. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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. Communications Insight Analyst San Mateo, CA (Hybrid) Role Overview Within Global Content Communications, the Communication Insights Analyst will help shape how PlayStation understands social performance, social audience conversation trends, sentiment across community members and press, and the impact of company communications from a media perspective, from community to brand to product and corporate. This role will blend deep hands-on analysis with strategic partnership, helping teams move from raw information to clear, actionable insights. From ongoing social listening to campaign dashboards and reporting, this position will support how Global Content Communications interprets audience response, measures communications effectiveness, and identifies opportunities to optimize strategy. The ideal candidate brings a strong analytical foundation, sharp judgment, and the ability to translate and visualize complex, nuanced data into pivotal recommendations that are useful across a fast-moving communications organization. This role will sit within the social media team and partner closely with PR and PlayStation Studios, while also collaborating with cross-functional teams across marketing, analytics, regional teams, and other internal and external stakeholders. Responsibilities Lead owned social performance reporting for SIE business priority content across PlayStation channels. This includes but is not limited to campaign, recurring, ad-hoc reports and for internal and external stakeholders. Conduct social listening/ and sentiment analysis across different audiences, helping teams understand how PlayStation is being discussed in real time and over time. Define and refine key business metrics and reporting frameworks, build analytical models, and generate predictive insights to support business strategies. Analyze large, complex datasets (social, sentiment, web, and communications) to uncover meaningful patterns, emerging themes, risks, and opportunities that can inform strategy. Collaborate with stakeholders across business units to understand needs, deliver data-driven recommendations, and implement solutions. Support recurring and ad hoc reporting across a range of communications metrics, including social performance, conversation trends, campaign and launch impact, and media coverage. Translate quantitative and qualitative data, often addressing broad or ambiguous questions into clear narratives for stakeholders, including executive-ready summaries, dashboards, presentations, etc., and reports. Help identify and refine AI-assisted workflows that improve reporting efficiency and insight development, while applying strong judgment and validation to outputs. Partner closely with PR, PlayStation Studios, Consumer Insights, Marketing, and the broader Global Communications organization to support planning, measurement, and post-mortem learning. Stay deeply attuned to the gaming landscape, audience behavior, platform trends, and cultural context that shape how players respond to PlayStation news and content. What We’re Looking For 5–7 years of experience in data analytics, audience insights, communications measurement, social intelligence, or a related field. Bachelor’s degree in statistics, mathematics, economics, or a related field preferred; advanced degree is a plus. Equivalent experience is highly valued. Proven ability to analyze large, nuanced datasets, and synthesize quantitative and qualitative data for business decision-making via automated and manual methodologies. Proficiency in analytics and data visualization/storytelling (including tools like SQL, Python, R, Tableau, Power BI). Strong written and verbal communication skills, with the ability to present complex findings clearly and persuasively to a range of audiences (including non-technical stakeholders and senior leadership). Advanced expertise in social media analytics platforms (e.g. Emplifi, Sprinklr, Sprout, etc.) and social listening tools (e.g. NetBase, Meltwater, Brandwatch, etc.), and experience working with unstructured social conversation data. Advanced problem-solving, statistical, and creative thinking capabilities. Strong Excel skills and a demonstrated ability to work through large, messy, or nuanced datasets with rigor and precision. Experience using AI tools to improve analysis and reporting workflows, with a thoughtful approach to validating outputs and protecting quality. Familiarity with ethical data handling, privacy policies, and compliance in social listening and conversational analytics. Experience measuring communications impact across social and earned channels, including sentiment, conversation analysis, media coverage, and campaign or launch reporting. Comfort working in a highly collaborative environment with multiple internal stakeholders and shifting priorities. Strong familiarity with console and/or PC gaming, gaming culture, and the broader interactive entertainment landscape. Prior experience in gaming or entertainment analytics is strongly preferred. Experience in entertainment, media, technology, or communications-focused analysis is an integral plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $136,300 — $204,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Commercial Install Base team, you will own and grow a portfolio of existing Vercel customers. You will lead the full commercial relationship across your accounts, including account strategy, pipeline generation, expansion, renewal, and retention. You will partner with developers, engineering leaders, product teams, executives, and procurement stakeholders to understand what customers are building and connect Vercel to meaningful technical and business outcomes. This is a strategic hunting role within our existing customer base. You will use product adoption, usage signals, company priorities, and thoughtful account research to develop hypotheses, create new conversations, and uncover expansion opportunities. You will also quarterback the broader Vercel team, bringing together Solutions Engineering, Developer Success, Product, and other partners to remove barriers and drive customer outcomes. Success requires commercial judgment, technical curiosity, disciplined execution, and the ability to create momentum when the path forward is not obvious. What you'll do Own the commercial strategy, retention, and growth of a portfolio of existing Vercel customers. Build account plans that identify customer priorities, key stakeholders, current workloads, risks, whitespace, and expansion opportunities. Generate pipeline through proactive prospecting, multi-threading, product usage signals, and thoughtful account research. Build trusted relationships with developers, engineering leaders, executives, procurement partners, and other key stakeholders. Run end-to-end renewal and expansion cycles, including discovery, qualification, technical evaluation, negotiation, and close. Identify customer risk early and develop clear plans to protect recurring revenue. Connect Vercel’s platform to measurable outcomes such as faster product delivery, improved performance, stronger reliability, increased conversion, and greater developer productivity. Partner with Solutions Architects to understand customer architecture, uncover new workloads, and guide technical evaluations. Mobilize Developer Success, Product, Marketing, and executive resources at the right moments to advance customer outcomes. Maintain accurate forecasts, opportunity plans, renewal timelines, and customer context in Vercel’s systems. Use AI, automation, and repeatable workflows to improve account research, prioritization, and execution. Share successful plays, customer insights, and market feedback to help the team improve. What you need We are looking for a commercially driven Account Executive who combines strong sales fundamentals with technical curiosity and a commitment to customer outcomes. In practice, this looks like someone who: Has a history of achieving revenue targets through pipeline generation, opportunity management, negotiation, and closing. Has experience owning and growing existing customer relationships, including renewals and expansion. Proactively creates pipeline rather than relying primarily on inbound demand. Can develop a point of view on an account and turn thoughtful hypotheses into customer conversations. Builds credibility with technical, executive, and commercial stakeholders. Learns complex products quickly and is curious about how modern web and AI applications are built and scaled. Can translate technical capabilities into clear business value. Is comfortable navigating ambiguity, complex organizations, and multi-stakeholder sales cycles. Demonstrates strong account planning, forecasting, and opportunity management discipline. Uses data, customer signals, and judgment to prioritize time effectively. Is coachable, collaborative, proactive, and team-first. Is resilient and energized by complex commercial problems. Bonus if you Have experience growing existing customers in SaaS, cloud, infrastructure, developer tools, or a product-led growth company. Have sold to developers, engineering leaders, product teams, or other technical buyers. Have led expansions across multiple workloads, teams, or business units. Have worked with customers navigating cloud modernization, AI adoption, or application development. Have experience in a high-growth environment where go-to-market motions were still evolving. Use tools such as Salesforce, Gong, Outreach, LinkedIn Sales Navigator, or ZoomInfo. Use AI, automation, or self-built workflows to improve your effectiveness. Aspire to coach others, own increasingly complex accounts, or grow into leadership. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $221,000.00 - $300,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KQ1 #LI-DNI Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Germany; Italy; Netherlands; Poland; Portugal; Spain; United Kingdom At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission Using your expert knowledge and extensive network, you will be responsible for screening lot submissions and creating attractive lot listings every week. Catawiki strives to keep user transactions as transparent and fair as possible, and your expertise and experience play a large part in maintaining this standard; you know better than anyone what watches are of interest to our users. You will review lot titles, descriptions, and pictures, and provide users with an estimated value based on this information. If you need to reject a submission, you do so in a professional and courteous manner. We are looking for a candidate with clear domain expertise in Watches, and professional trading experience in the Vintage segment. What You’ll Do Expert knowledge in screening and curation of modern (and or vintage) Exclusive watches; Professional business or trading experience on leading platforms such as Catawiki, Chrono24, 1stDibs, Ebay, Watchfinder, Watchbox, Chronext, B2B WhatsApp trading groups and B2B watch fairs; Understanding how to optimise auction strategies (reserve price, sell rate, cash flow, stock management, and shelf space optimization); Good analytical skills, monitoring auction performance and guiding sellers on trends; Documented commercial experience; Excellent communicative skills; Good computer skills; A network of potential sellers and experts in your field; The diplomatic competence needed to act as mediator in disputes between users; Very good command of English What You’ll Bring Entrepreneurial and results-driven mindset Strong attention to detail and quality standards Ability to balance expert judgment with commercial targets Self-starter who thrives in a hybrid, fast-paced environment Where You'll Be This is a 100% remote role based in the Netherlands/Germany/Spain/Italy/UK/Portugal/Poland, with occasional travel for business purposes. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Processing 2+ million daily interactions between adjoe's reward engine and its global publisher network The Supply Integrations team builds and operates the services that ensure every user reward is calculated, verified, and delivered, whether that means firing a cryptographically signed HTTP callback in milliseconds or transferring loyalty points through a partner's OAuth-secured payment API. Every callback that lands on time is a reward delivered, a publisher retained, and revenue protected. The team's production surface spans a set of services connecting adjoe to a global publisher network. S2S Payout Callbacks deliver real-time reward notifications with 40+ configurable parameters, secured by per-publisher cryptographic signatures. The Payout Adapter integrates directly with enterprise partner payment systems, handling OAuth2 flows, mTLS, HMAC signatures, and retry logic to guarantee delivery. Our External Statistics API aggregates data from Druid, Athena, and DynamoDB into self-serve publisher dashboards and daily reports. All of this is backed by Go microservices communicating over Kafka and SQS, with state managed in DynamoDB and MySQL, processing over 2 million interactions every day without missing a beat. YOUR MISSION & WHO WE ARE LOOKING FOR - Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying. - High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners. - Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting. - Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team. - Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Philippines Workplace: fully About The Role: At Paysend, we're building the future of global payments - making money movement simple, fast, and accessible for everyone. As an Application Support Analyst, you'll play a critical role in delivering on that promise by ensuring our platforms run reliably and our customers can send and receive money without interruption. The Application Support Analyst owns the health of our transaction ecosystem end to end: investigating individual transactions and broader flow anomalies, detecting issues before they escalate, supporting release deployments and post-release system verification, and driving incidents to resolution across both our B2C and Enterprise product lines. You'll work with large volumes of real-time payment data, using tools like Oracle SQL, Postman, OpenSearch, and Grafana to trace transactions, diagnose root causes, and keep critical payment services running smoothly. This role is ideal for someone who enjoys solving complex problems, thrives in a fast-paced environment, and wants to make a tangible impact on the experience of millions of customers around the world. What You'll Do (Responsibilities): Transaction Administration: Analyze, track, and manage end-to-end payment transaction flows using Oracle SQL, Postman, and OpenSearch. System & Performance Monitoring: Maintain business-critical payment services, track SLA windows, and actively monitor system health using Grafana and related tools. Incident Management & Resolution: Conduct incident response efforts, including root-cause investigations, documentation of incident reports, and coordination of cross-functional teams to resolution. Stuck & Flagged Transaction Handling: Resolve transactions flagged for manual parsing and investigate payouts or funding stuck in pending status (>3 days), updating statuses or escalating as needed. Partner & Bank Communication: Serve as a point of contact for partners and banks to resolve processing issues, file-loading discrepancies, and data reporting corrections. SAR & PDP Reconciliation: Troubleshoot SAR reconciliation issues, including unmatched transactions, missing/duplicate report data, and platform data mismatches. Releases & Deployment: Coordinate, execute, and roll back service releases, verifying post-release system health and performance graphs. What You Bring to the Team: Problem-solving mindset with the drive to investigate novel issues and determine solution steps independently Technical Troubleshooting: Practical experience using SQL for data querying, alongside Postman to read API documentation and debug partner integrations. Monitoring & Operations: Basic Linux, network, or cloud administration experience. Incident & Escalation Management: Ability to manage concurrent, time-sensitive incidents under strict SLA windows, moving from root-cause analysis to final resolution. Cross-Functional Collaboration: Experience interfacing with external entities (banks, PSPs, processors) and internal stakeholders (Engineering, Settlement, Customer Support). Programming Literacy: Basic skills in any programming language to read code, run scripts, or inspect data payloads. Communication Skills: Advanced written and verbal English skills for managing communications with internal teams and external financial partners. Nice To Have Experience working directly with OpenSearch for log and transaction analysis. Hands-on experience with team collaboration tools (Slack, Google Workspace, Jira, Confluence). Domain knowledge in financial workflows, payment lifecycles, and core fintech terminology. Bachelor's degree in Computer Science, Information Systems, or a related operational field. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: London Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Global Account Manager – Financial Services will own UiPath’s relationship with a small number of high revenue strategic banking customers and lead our engagements with them at a global level. Sitting within our UK Banking go-to-market team, you'll act as the CEO for a portfolio of top-tier global banking accounts, orchestrating sales, delivery, and executive stakeholders across regions to unlock enterprise-wide value. You will work every day across the C-Suite, Digital Transformation, AI/Automation COE's, Operations, Risk, Compliance, Finance, and Technology teams to deliver value through UiPath’s automation and AI platform. We provide technology and solutions that help financial institutions streamline operations, improve accuracy, reduce risk, enhance compliance, and free employees to focus on higher-value work. You will be challenged and supported by the best in the industry as you build trusted relationships and pave your own path to success. WHAT YOU'LL DO AT UIPATH - Assess territory potential and develop a sales vision, strategy and plan to elevate UiPath in and maximize value and revenue across Financial Services accounts. Lead, orchestrate and inspire Account Teams in executing against the Account Vision and Plan - Achieve agreed-upon sales targets and outcomes within quarterly schedules - Own commercial strategy for the account, leading complex, multi-stakeholder negotiations and structuring multi-year enterprise agreements - Maintain accurate forecasting and pipeline hygiene across the account, reporting progress against quota to senior leadership - Evangelize the UiPath brand by presenting, promoting, and selling UiPath solutions through a value-selling approach - Educate customers on how UiPath can improve efficiency, reduce operational costs, strengthen controls, and support digital transformation - Establish, develop, elevate and maintain positive business and customer relationships across the territory. Be a thought leader across the portfolio - Develop trusted relationships with local partners and global systems integrators to cultivate new opportunities and drive successful customer implementations - Partner with Customer Success Managers to ensure enduring value delivery - Monitor industry competitors, new products, regulatory trends, and market conditions to understand customer needs and bring relevant thought leadership to your customers - Collaborate internally with sales executives and cross-functional teams to share knowledge and best practices - Explore ways to incorporate automation into daily work and financial services workflows WHAT YOU'LL BRING TO THE TEAM - 8+ years of solution/value selling experience - 3+ years of enterprise account experience selling to Financial Services/Banking customers preferred along with a wide network of contacts across the Industry - Demonstrated expertise communicating artificial intelligence capabilities, ROI metrics, and implementation strategies to C-suite executives, Digital Transformation teams, and AI Centers of Excellence - Ability to translate complex AI and automation concepts into business outcomes such as cost reduction, improved controls, faster processing, risk mitigation, and enhanced customer experience - Familiarity with financial services priorities such as regulatory compliance, fraud prevention, KYC/AML, audit readiness, operational resilience, and back-office transformation, along with the vendor risk assessments, data residency requirements, and third-party risk frameworks common to regulated banking procurement - Ability to communicate new and complex concepts in an easy-to-understand way that creates strong demand for the solution - Successful year-over-year quota attainment and experience retaining and growing an enterprise client portfolio - High aptitude for cross-functional collaboration and influence internally and externally - Ability to navigate complex client organizations and develop key relationships across multiple departments and leadership levels, including the C-suite - Ability to provide valuable insights into improving customers’ business operations - Research and data-driven approach to account planning, with the ability to proactively identify opportunities from business-led discussions - Bachelor’s degree preferred - Willingness to travel approximately 50%, including occasional travel outside of the UK Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a DevOps Engineer at Incode, you will play an important role in supporting and improving the cloud infrastructure behind our AI-driven identity verification platform. You’ll work on scalable, cloud-native systems that power secure and seamless identity experiences globally, with a focus on AWS, Kubernetes, and Terraform. In this role, you’ll help set up new environments, maintain and upgrade existing systems, support infrastructure automation, and help make our platforms more stable, reliable, and ready for further scaling. You’ll work closely with developers and other engineering teams to troubleshoot issues, improve deployment processes, and ensure our applications run smoothly in production. Your work will directly contribute to the reliability, efficiency, and scalability of Incode’s infrastructure, helping us deliver trusted identity verification solutions to customers around the world. What You’ll Own & Drive Cloud-Native Infrastructure - Help design, implement, and maintain Kubernetes-based environments that support scalability, resilience, and security. Environment Setup & System Upgrades - Support the setup of new cloud environments, assist with system upgrades, and help keep infrastructure components up to date and aligned with best practices. Infrastructure as Code (IaC) - Work with Terraform to manage and improve infrastructure automation, ensuring consistency and reliability across environments. Production Reliability - Investigate, troubleshoot, and resolve infrastructure-related issues in live environments, helping minimize downtime and maintain a smooth customer experience. Monitoring & Logging - Support and improve observability solutions using tools such as Prometheus, Loki, ELK, or similar stacks. Developer Support - Collaborate closely with development teams, helping them resolve infrastructure, deployment, and environment-related challenges. Engineering Standards - Contribute to internal best practices, documentation, automation improvements, and processes that help the DevOps team operate more efficiently. Continuous Improvement - Stay curious about AWS, Kubernetes, Terraform, and DevOps practices, bringing ideas that can improve stability, automation, and scalability. The Qualities That Set You Apart Cloud-Native Mindset - You have hands-on experience working with Kubernetes and understand its core concepts, including deployments, services, pods, ingress, and basic troubleshooting. Infrastructure as Code Enthusiast - You have practical experience with Terraform and understand how infrastructure automation helps create consistent and repeatable environments. CI/CD Experience - You have worked with CI/CD pipelines using tools such as GitLab CI/CD or GitHub Actions and understand how they support reliable software delivery. AWS Knowledge - You are familiar with core AWS services such as EC2, VPC, S3, IAM, and related offerings, and are comfortable working in cloud environments. Systems & Networking Understanding - You understand networking fundamentals such as TCP/IP, DNS, and HTTP/S, and can apply this knowledge when troubleshooting or supporting infrastructure. Problem Solver - You are comfortable investigating issues, asking questions, and working with others to find practical solutions. Collaborative Communicator - You can communicate clearly with technical peers and developers, explain issues or solutions, and contribute constructively in a team environment. Your Background Experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer, or in a similar role. Hands-on experience working with Kubernetes-based applications or environments. Practical experience with Terraform and infrastructure automation. Experience working with CI/CD pipelines, preferably GitLab CI/CD or GitHub Actions. Familiarity with AWS services such as EC2, VPC, S3, IAM, and related cloud services. Understanding of networking protocols and best practices, including TCP/IP, DNS, and HTTP/S. Experience supporting developers with infrastructure, deployment, or environment-related topics. Experience helping set up new environments, upgrade systems, or maintain cloud infrastructure. Strong written and verbal communication skills, with the ability to explain technical topics clearly. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: KOR - Seoul About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As Operations Manager , you will own the end-to-end execution of supply chain operations, driving speed, efficiency, and flawless performance across the network. You will partner closely with co-packers, suppliers, and warehouse teams to keep products moving, inventories optimized, and operations running at full throttle. Working cross-functionally with internal and external stakeholders, you will ensure world-class execution, proactively solve challenges, and continuously raise the bar on operational excellence. You will manage operations within budget targets while relentlessly monitoring, analyzing, and improving supply chain performance to support business growth and deliver results the Monster way. The Impact You'll Make: Collaborate with management of new plant setup process and on overall execution of raw material, demand, production planning to meet sales targets in the region. Assist management of operational requirements for new product launches with co-packer. Promote the achievement of the overall raw material, demand and production plan goals for the territory, and manage collaborative to distribute the products to the region's markets on time. Collaborate with custom broker for management of custom operations on time to deliver raw materials on time and bonded warehouse management in line with operational budget. Identify and develop solutions for gaps in current production and supply network. Identify inefficiencies, implementing solutions, and making decisions that impact multiple areas of the organization. Determine methods in process improvements for cost refinements across the network. Optimize operational systems, processes, and best practices to improve efficiency and productivity across departments. Collaborate with procurement to ensure supply chain has best pricing and minimize redundancy. Manage budgets, procurement, inventory, and logistics to ensure effective use of resources Act jointly with accounting departments and strategy partners to establish product cost of goods. Who You Are: Prefer a Bachelor's Degree in the field of --Supply Chain, Engineering, Business & Economics or similar field of study Additional Experience Desired: More than 5 years of experience in Supply Chain functions, custom operations Additional Experience Desired: Between 1-3 years of experience in ERP (Enterprise Resource Planning) systems Computer Skills Desired: SAP experience preferred. Excel, PowerPoint and other Advanced in Microsoft office applications. Read our privacy policy here: Privacy Policy

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like.   Role Overview We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day. The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering. You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance.   KEY RESPONSIBILITIES We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas: Cloud & Network Security - Evaluate, implement, and maintain cloud security tooling. - Own infrastructure and container vulnerability management across our cloud environments, and drive remediation. - Design and implement network segmentation to tighten internal security boundaries. - Build centralized security monitoring across cloud infrastructure. Corporate Access Control - Own access governance and credential management across cloud and internal tooling. - Partner with Engineering, DevOps, and IT to raise identity and access management standards. Technical Leadership: - Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with. Requirements: Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway. - 7+ years in infrastructure security or security engineering, including time at a high- growth startup. - Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform). - Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms. - Solid networking, operating systems, and cryptography fundamentals. - Strong grasp of container and infrastructure security practices and vulnerability management. - Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps. - High agency. Nice to have - Experience with sandboxing, container isolation, or secure execution environments for untrusted code. - Experience with CSPM rollouts. - Incident response and security monitoring experience. - Familiarity with SOC 2 or similar frameworks. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world. Being an important part of our Product Design team based in Istanbul, Software Product Design Engineer (Product Owner) are responsible for turning our customers’ network automation and management requirements into solutions. They prototype our telecommunication software products, define their specifications, design their user interfaces and follow up end to end development process. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide. Job Description: Extract business use cases, do analyze the value, validate studies, and provide a competitive roadmap Conduct presentation/demonstration to the potential customers by providing technical details and value offers about the network management solutions Develop technical specification documents for network management products based on mobile operators’ requirements & needs worldwide Design user interfaces, back-end structure, usage workflow, concept sketches, and high-fidelity wireframes by using design tools Test and validate solutions based on technical requirements and user experience Track issues over Issue Tracking Solutions and keep the knowledge database updated Collaborate with the development, integration, quality assurance, project management and customer support departments to evaluate or diagnose problems and recommend viable solutions. Organize product design reviews meetings with subject matter experts (SME) to validate requirements analysis and proposed solutions Required Qualifications: Having an engineering degree in relevant university departments such as Electrical, Electronics, Communications, Computer, or Software Engineering Minimum 2 years of experience in the mobile telecommunication field Hands-on experience with various mobile network management products including network optimization, planning, self-organized network, geo-location, performance management, configuration management, fault management. Excellent verbal and written communication skills in English is a must Strong product mindset, passionate about experiencing new technologies and applying to business for improvements Understanding fundamental database concepts and good command of SQL is a plus User-experience and user interface design experience is a plus

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. 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-BH3 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 $195,200 — $262,200 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: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 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: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 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: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product. Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements. Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads. Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence. Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter. Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority. Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise. Desirable Skills, Knowledge & Experience 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems. Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs. Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter. Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code. Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful. Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production. Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable. Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers. Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale. Hands-on experience with proxy, edge, gateway, routing, or traffic management systems. Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice. Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads. Experience with TypeScript, Go, Rust, or similar systems/backend languages. You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship. You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing. A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.