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Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you’ll own Data strategy and delivery Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates. Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions. Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act. People and organization Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows. Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence. Analytics engineering and the data platform Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads. Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform. Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision. Product analytics and experimentation Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation. Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release. Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision. Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small. Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again. Metrics, self-service, and AI-assisted analytics Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently. Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request. Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation. Data culture and industry research Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities. Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use. Requirements What you bring 10+ years in analytics, data science, or a related quantitative field , including experience leading senior practitioners, developing managers, and scaling teams. Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt. Data cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable. B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward. Cross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives. Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus. What success looks like Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change. Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries. Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs. Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Location: Baltics THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Baltics WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. We are currently seeking a Bilingual Material Planner (English/Korean speaking) to join our Dynamic Team in Clarksville, TN as part of the Material Team! Starting wage of $60,000 annually and up based on experience. In this position you will coordinate purchasing activities with manufacturing and engineering departments to acquire inventory in a cost effective and timely manner.   You will also acquire and maintain technical understanding of products purchased, monitors the cost, schedule and scope of assigned subcontracts to assure highest quality at best value. Perform cost analysis and volume planning for major commodities. Obtain materials, components, equipment and services while ensuring security and accountability of inventory through transaction documentation, process and procedure verification, and system review. Analyze and when able, corrects cycle count discrepancies.  Audit incoming and in & outgoing shipments to assure quality and accuracy. Compile and document all transactions for data entry. Responsibilities: Reviews, analyzes, and resolves expectations and error reports from master data management and ERP planning modules Establish and monitor finished goods inventory levels to ensure on-time compliance to customer release requirements while minimizing carrying and premium freight costs. Review department/plant measurable (customer delivery, supplier delivery, premium freight and inventory) and establish corrective measures for performance adherence. Facilitates the resolution of supplier inbound Quality Issues. Support product supply and inventory plans consistent with the objectives of the business or product line. Rescheduling materials for pull ins (expedites) and push outs (for inventory control) Achievement of daily, monthly and annual team targets (KPI) Adheres to yearly budget and carries out the plan to meet that budget Aligns Innovation team to forecast and reduces labor expense, forecasts, tracks and escalates as necessary Responsible for establishing and promoting a safe working environment and establishes and monitors compliance activities to support the safety program Develop knowledge of Material Requirements Planning by assisting Supply Analysts plan the phase in and/or phase out of products. Identify unique components for products being phased out or inactivated Preparing mechanisms for tracking inventory of unique components to insure use up plan to minimize excess and/or obsolete inventory is successful. Monitor product phase-in/out plans to Minimize excess or obsolete inventory and issue progress reports during the phase out period. Realizing a sense of urgency around business imperatives and convincing others of that urgency. Setting well-defined goals to meet business challenges and ensuring performance against those goals. Overcoming obstacles to drive initiatives and actions to closure. Skills: Ability to accept change and adapt to a variety of assignments in a fast-paced environment Capability for MS Office (Excel, PowerPoint, Word), and Microsoft Outlook Ability to be self-directing, manage time and priorities effectively, take initiative, exercise good judgment, and manage multiple priorities to meet deadlines Effective communication (verbal and written), interpersonal and collaboration skills Requirements: Bachelor's Degree Working knowledge and ability to use MS Office applications, specifically MS Excel and MS PowerPoint for reports, data analysis, etc. Ability to navigate and teach Enterprise Resource Planning (ERP) IT Systems such as Oracle, SAP, etc. Flexible work hours and available for weekends Bilingual-English & Korean Occasional travel (international and domestic) Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Berlin Office; London Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Deployment Lead to serve as the strategic layer in our Forward Deployed Engineering (FDE) function who ensures our customers successfully implement and unlock maximum value from AI-driven decision-making. In this pre- and post-sale hybrid role, you'll be the primary point of contact guiding enterprise customers and Taktile internal teams through highly strategic, complex, multi use case AI transformation projects. You lead strategic planning of the project, own business outcome of the solution implementation, pave path for business impact-driven footprint and revenue expansion within the account, and shape product roadmaps with first-hand industry insights. You’ll collaborate across Taktile’s Forward Deployed Engineer (FDE), Solution, Product, and Sales teams, as well as with external partners, to support customers throughout their entire lifecycle, driving strategic outcomes and sustained impact. About You - Strategic Enterprise Leader – You are a strategic thinker and experienced navigator of complex enterprise deals and transformation programs. You can turn an ambitious AI vision into a credible, sequenced, and executable plan. - Complexity Navigator – You can synthesize technical, operational, and commercial complexity, including use-case-specific pain points, value propositions, industry dynamics, vendor landscapes, stakeholder agendas, competing KPIs, and build-versus-buy considerations. - Executive Communicator – You have the presence and judgment to engage senior and C-level stakeholders, facilitate difficult trade-offs, challenge assumptions constructively, and build alignment across business, risk, technology, data, and AI teams. - Commercially Minded – You can identify where AI can create material business value, build quantified success metrics and ROI frameworks, and connect delivery outcomes to adoption, expansion, and long-term account value. - Delivery Leader – You can structure and lead high-stakes pilot and proof-of-value programs, anticipate risks, unblock decisions, and keep cross-functional teams aligned on scope, quality, timelines, and expected impact. - AI-Native – You are familiar with modern AI and LLM capabilities, limitations, evaluation approaches, governance considerations, and the requirements for deploying trusted AI in regulated environments. You use AI tools every day to do your own work faster and better, and you expect to bring that way of working to customers. - Technically Hands-On – You understand applied AI, data, and integration concepts deeply enough to make solution choices yourself, not just referee them. You don’t need to be a software engineer, but you are comfortable reading a decision flow, digging into data, and building a rough prototype or demo with modern AI tooling. Solutions Engineers and Forward Deployed Engineers own production implementation; you can follow them all the way into the details. - Low-Ego, High-Ownership – You are hands-on where your judgment has the greatest leverage, collaborate effectively across functions, and want to build with customers and teams—not advise from a distance. - Experienced – You have 5-10 years of experience in enterprise technology, strategy consulting, digital or AI transformation, technical sales, complex delivery, or a similarly demanding customer-facing environment, including leadership of large accounts or programs. - Mobile – You are willing to travel up to 30% of the time. What You’ll Do - Shape high-impact AI transformations - Partner with Account Executives and Solutions Engineers early in strategic enterprise opportunities to qualify the opportunity, shape account strategy, and build credibility with executive stakeholders. - Lead use-case discovery and prioritization workshops that assess potential business impact, transformation potential, feasibility, implementation risk, and time to value. - Guide customers and internal teams to select the right landing or pilot use case, define which use cases should follow in later phases, and turn that sequence into a compelling AI-transformation roadmap. - Lead end-to-end process-mapping workshops for the selected use case. Surface and document current-state pain points, stakeholder needs, decision flows, data and technology constraints, the target-state process, and the customer’s wish list. - Define clear success criteria, measurable business-value metrics, and ROI frameworks that align business, risk, technology, data, and AI stakeholders before delivery begins. - Own Taktile’s most strategic value deliveries - Act as a senior sponsor for complex post-sale programs, ensuring delivery quality, executive alignment, measurable outcomes, and a clear path from the initial use case to scaled adoption. - Lead pilot and proof-of-value programs in partnership with Forward Deployed Engineers. Guide solution design, evaluation methodology, performance assessment, stakeholder reviews, and the priorities for subsequent iterations. - Translate technical results into clear business implications and present progress, trade-offs, risks, and quantified value to both customer executives and internal stakeholders. - Accelerate revenue and product excellence - Identify expansion opportunities based on demonstrated value and customer priorities, and shape the narrative, sequencing, and operating plan for additional use cases. - Bring customer realities, market dynamics, and field feedback back to Product and Engineering, and turn lessons from engagements into repeatable discovery methods, delivery playbooks, ROI frameworks, and industry-specific patterns. - Act as a force multiplier across accounts and teams by coaching colleagues on strategic problem-solving, executive communication, use-case framing, and delivery leadership. Ideal, But Not Required - You are a domain expert and can engage credibly in front of customers and internal teams for one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have led AI, data, risk, or decisioning transformation programs within banks, insurers, lenders, or other regulated financial institutions. - You have deep experience in one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have operated at Engagement Manager, Principal, Director, Partner, or an equivalent senior level in strategy consulting, digital transformation, enterprise technology, technical sales, or customer delivery. - You understand the financial-services technology and vendor landscape and can help customers evaluate architecture, operating-model, and build-versus-buy trade-offs. - You have experience coaching teams, codifying best practices, and raising the quality of work across multiple strategic accounts or programs. Our Offer - Work on hard, meaningful problems with real-world impact. - Receive top-of-market equity and cash compensation. - Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes. - Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world. - Shape how enterprise SaaS is delivered at scale. - Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Use the equipment of your choice including a meaningful home office set-up. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Berlin, Germany Workplace: Remote ROLE SUMMARY Temporal is shaping the future of application development by enabling organizations to build, scale, and run resilient applications. We are seeking a highly skilled and experienced Senior Account Executive based in Germany to join our New Logo team and drive revenue within some of the largest and most complex enterprise organizations. In this role, you will own the DACH (Germany, Austria and Switzerland) sales territory, navigating matrixed enterprise companies and selling to highly technical personas such as software engineers, engineering leaders, and architects. As a strategic partner to our customers, you will bring a proven ability to lead sophisticated sales processes, uncover opportunities within massive organizations, and drive adoption of Temporal’s solutions. Your entrepreneurial mindset will help you thrive in a high-growth, startup environment, while your expertise in scaling revenue within complex organizations will make you an invaluable asset to our team. Come work with some of the brightest minds in the tech industry and help transform how modern applications are built. You will contribute to the growth of a category-defining company at the forefront of innovation. WHAT YOU'LL DO - Own and manage the entire sales cycle, from prospecting to close, with a focus on growing revenue with new enterprise customers - Develop and execute strategic sales plans to break into large, matrixed enterprise accounts - Engage with software engineers, architects, and technical stakeholders to understand their needs and position Temporal effectively across a wide range of use cases - Navigate complex technical discussions and align Temporal’s capabilities with customer priorities - Build and nurture quality relationships with prospects, acting as a trusted advisor throughout the sales process - Partner with customer success, solutions architecture, and product teams to ensure a seamless customer experience - Leverage your expertise in enterprise sales to identify and capture high-value opportunities within large, complex organizations, driving net-new customer acquisition - Innovate and adapt sales strategies to meet the dynamic needs of enterprise businesses in a rapidly evolving market - Be based in Germany with the ability to travel throughout the country for in-person meetings WHAT YOU'LL BRING - Demonstrated expertise in enterprise software sales, typically gained through 7+ years of experience in similar roles - Proven track record of selling to software engineers, technical decision-makers, and engineering leaders - Navigate complex technical discussions and collaboratively align Temporal’s capabilities with customer priorities - Demonstrated success navigating and closing deals within large, matrixed enterprise organizations - Experience driving high-growth sales motions within enterprise accounts, identifying opportunities, and scaling revenue - Comfortable operating in a fast-paced, high-growth environment with a hands-on approach and entrepreneurial mindset - Exceptional relationship management skills, with the ability to influence and build trust across multiple levels of an organization - Demonstrated success in consistently achieving or surpassing revenue goals - Experience working with cutting-edge developer tools or infrastructure products - Experience working with OSS, and monetizing OSS - Familiarity with consumption-based sales models and driving adoption of technical products - Outstanding communication and negotiation skills, with the ability to present to technical and executive audiences - A passion for technology and a deep curiosity for solving complex customer challenges - German language proficiency is a requirement for success in this role. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: UAE Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter first Revenue Partnerships hire based in the Middle East who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will: - Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners. - Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets. - Establish and nurture strong partnerships that drive business growth and create new opportunities. - Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team. - Oversee partner relationships at the regional level while maintaining alignment with global strategies. REQUIREMENTS - At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development. - A minimum of 3 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional System Integrators, VARs, Cloud Partners,consulting firms and Technology Providers within a complex sales matrix. - Proven ability to communicate the business value of advanced enterprise technology solutions. - A history of consistently exceeding sales targets and achieving strong performance. - Expertise in navigating complex sales cycles and developing business champions. - Self Starter - Analytical skills and proficiency with spreadsheets - Proficiency in creating compelling presentations and demos - Market Insight: Deep knowledge of the In SaaS/AI industry - Proficiency in English Bonus: - Network in the relevant partner bases - Proficiency in Arabic #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Menlo Park Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. Blockstream is seeking a Platform Architect to define and evolve the architectural foundation of our core platforms. This role is responsible for end-to-end system design, ensuring scalability, reliability, security, and developer efficiency across Blockstream’s infrastructure and product ecosystem. You will work closely with engineering, security, product, and leadership to design distributed systems that support high-value financial use cases, while upholding Bitcoin’s core principles of decentralization and trust minimization. What You’ll Be Doing (Responsibilities): - Own the architecture and technical vision for Blockstream’s platform and shared services - Design scalable, secure, and fault-tolerant distributed systems supporting Bitcoin, Layer-2, and enterprise products - Define platform standards for APIs, data models, service boundaries, and infrastructure patterns - Partner with engineering teams to guide implementation, review designs, and resolve complex technical challenges - Collaborate with Security and Infrastructure teams to ensure defense-in-depth, key management, and operational resilience - Evaluate and introduce new technologies while balancing innovation with operational maturity - Ensure platform designs support regulatory, enterprise, and institutional requirements without compromising decentralization principles - Document architectural decisions, tradeoffs, and long-term technical roadmaps - Mentor senior engineers and help raise the overall architectural rigor across teams What We Look For in You (Required Qualifications): - 5+ years of experience designing and operating large-scale platforms or infrastructure systems - 6-8 years of development experience building production-grade backend with strong security boundaries, authentication, authorization, key management, as well as designing APIs, data models, and distributed services that run reliably at scale. - Proven experience as a Platform Architect, Principal Engineer, or Senior Systems Architect - Deep understanding of distributed systems, including consensus, fault tolerance, replication, and networking - Strong experience with cloud and/or hybrid infrastructure (AWS, GCP, bare metal, Kubernetes, Terraform, etc.) - Expertise in security-critical systems, including authentication, authorization, cryptography, and key management - Experience designing high-availability systems for financial or mission-critical applications - Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse stakeholders - Comfort working in a remote, globally distributed team Nice to Have (Preferred Qualifications): - Hands-on experience with Bitcoin, Lightning, Liquid, or blockchain infrastructure - Experience contributing to open-source projects - Familiarity with HSMs, secure enclaves, or hardware-backed key storage - Background in fintech, capital markets, or institutional financial systems - Experience balancing enterprise requirements with decentralized architectures 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Design Manager to lead and contribute to our Visual Design practice supporting brand and site experiences. This is a hands-on leadership role suited to experienced designers who excel in people management, delivery ownership and strategic thinking. The role entails Your work will entail the application and evolution of existing guidelines, ensuring consistency across touchpoints. You will lead a variety of projects ranging from marketing campaign assets, data visualization, print and UI design related projects. You will be collaborating closely with the design systems and the sites team, influencing the UI of all our digital experiences. You will have opportunities to get involved in various stretch projects that go beyond the scope of brand design, allowing you to drive cross-department collaboration. As Design Manager, you will lead a team of visual designers responsible for brand and site-related work across Canonical. You will drive innovation, set direction, maintain quality, and ensure delivery supporting continuous professional growth of the visual design team. You will be able to step-in and craft exceptional visual solutions to set the creative vision. You will be expected to lead by example, not by theory alone. On a day to day basis: Reviewing work critically and constructively, striving for excellence and consistency through direct feedback Contributing hands-on design work when capacity or complexity requires it Working with individual designers to support their professional growth Continuously overseeing and improving operational workflows, including production processes Working with stakeholders, especially Marketing, Web Engineering and Design Systems Director, to clearly define and validate outcomes Evolving design systems and guidelines to drive consistent quality and improve efficiency Coordinating with the rest of design leadership to mature our collective practice Bringing your team and others together to share their work and strengthen culture Helping make the value of design legible across the organisation and open source community What we are looking for in you A portfolio demonstrating excellence in leading design process and execution (especially visually) in diverse organisations Experience managing complex projects and a team of designers while remaining actively involved in design work Advanced knowledge of visual design principles (typography, layout, colour, systems) demonstrating broad experience Strong processes understanding and ability to manage ambiguity, competing priorities, and limited resources with the ability to switch modes A clear point of view, balanced with openness to critique and feedback with deep care for usability and accessibility Commitment to skills development and mentorship A demonstrable passion for technology Thoughtful and self-motivated while being result-oriented, with a personal drive to meet commitments Exceptional educational achievement in design, or a compelling narrative about your alternative chosen path Professional written and spoken English Willingness to travel up to 4 times a year for internal events up to two weeks long What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. This is an opportunity to shape the future of cloud networking user experience at Canonical, the company behind Ubuntu.  We're looking for an exceptional Staff Design Engineer who can make complex networking infrastructure intuitive, powerful, and delightful for developers and operations teams working in cloud environments. As a Staff Design Engineer, you'll define the UX vision for how users interact with networking across our cloud portfolio—from MAAS to MicroCloud and Ubuntu Server networking. You'll work on challenges like visualizing network topologies, designing intuitive configuration interfaces, and creating experiences that make infrastructure manageable at scale. This role sits in the design team reporting to the Infrastructure design manager and is expected to have a company-wide impact. Location: This role will be based remotely in the EMEA region. The role entails Defining and driving the UX strategy for cloud networking products across Canonical's portfolio Designing intuitive interfaces for highly complex networking concepts that rethink VPCs, subnets, routing tables, security groups, load balancers, and network observability Creating and evolving design systems and patterns that scale across multiple products and platforms Conducting user research with DevOps engineers, network administrators, SREs, and cloud architects to understand their workflows, pain points, and mental models Building prototypes and high-fidelity designs using Figma or similar tools Creating experiences for network troubleshooting, monitoring, and observability Working on both GUI and terminal-based user experiences, understanding that our users span from UI to CLI preferences Mentoring designers and contribute to design culture across Canonical Owning one of our working groups to enable Canonical design’s horizontal efforts What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or equivalent in User Experience, Design, or STEM or a compelling narrative about your alternative chosen path 8+ years of experience in product design, UX design, or interaction design, with a strong portfolio of B2B/enterprise products Solid understanding of cloud computing and networking fundamentals, experience designing for developers and operations teams, and their workflows Strong information architecture skills and can organize complex systems into clear, navigable structures Experienced in user research methodologies and can translate findings into actionable design decisions Excellent communication skills and can articulate design rationale to both technical and non-technical audiences Self-motivated, organized, and comfortable working in a distributed, remote-first environment Knowledge and passion for the intersection of user experience, technology and design Commitment to continuous learning and improvement - curious, flexible, scientific Result-oriented with a drive to finish work and celebrate success Ability to travel internationally twice a year, for company events up to two weeks long What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Romania THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for business operations managers to join the team. You’ll work closely with folks across marketing, sales, operations, and finance on a variety of initiatives to help scale the business in our next phase of growth. You’ll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. WHAT YOU’LL WORK ON: - Drive in-depth quantitative analyses to inform our pricing and packaging strategy - Help spin up our deal desk and streamline enterprise deals - Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities - Implement new tools and processes to enable the GTM org to grow rapidly - Get creative on a spectrum of ad hoc projects like securing new office space in Manhattan YOU MAY BE A FIT IF: - You have 5+ years of experience working in some kind of business function (e.g., banking, consulting, startup) - You have some exposure to tech and coding (in order to understand our product and customer, work with analytical tools, and build out custom tooling) - You’re analytical, organized, and detail-oriented, and you hold your output to a high bar of excellence - You’re eager to learn about a variety of different business functions and juggle many projects at once - You’re excited about working in person in NYC

Location: Dubai, United Arab Emirates As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, This role is primarily operations-focused (90%) , with hands-on involvement in implementation, configuration, and setup of AI infrastructure and MLOps workflows. You will play a key role in managing, operating, and guiding the deployment of a strategic AI environment , working closely with the customer as a technical advisor and hands-on engineer. What about the role responsibilities? Operate and maintain AI infrastructure and MLOps platforms in a production environment. Monitor, manage, and troubleshoot Kubernetes-based AI workloads. Perform Acceptance Testing Planning and Execution for AI infrastructure and platforms. Ensure stability, performance, and availability of AI systems. Support day-to-day operational tasks across compute, storage, and networking layers. Install and configure NVIDIA Enterprise AI Stack (NVAI) . Configure and manage MLOps platforms such as Kubeflow and MLflow . Assist in setting up end-to-end AI workflows , including data pipelines. Support the initial implementation phase of the AI environment. Act as a technical guide and advisor to the customer during the early stages of their AI adoption. Requirements What should you have to fit in this role? Technical Requirements AI / MLOps Stack Proficient experience with the NVIDIA Enterprise AI Stack Familiarity with Ubuntu Linux Experience with Kubernetes Knowledge of Kubeflow / MLflow Experience with QFLOW (an open-source AI data pipeline management tool) Programming & Automation 4–6 years of practical experience in: Python Jupyter Notebook / JupyterLab Competence in writing, testing, and maintaining operational scripts and AI workflows. Infrastructure Experience Practical experience with enterprise infrastructure, encompassing: Dell PowerScale (5 nodes) XE Server (1 node) Dell R570 Servers (5 nodes) Dell Network Switches (2 switches) GPU-based AI servers (in a small-scale environment) Environment Overview Initial implementation of AI Compact configuration: 1 GPU server 1 PowerScale 5 control plane servers Opportunity to shape best practices from the ground up To succeed in this role, it's nice to have: •   Familiarity with data frameworks like Apache Spark or Hadoop for data processing. •   Understanding of ML model monitoring and logging practices to ensure system reliability. •   Experience with security best practices in AI systems.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures. This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure. What skills we expect you to have: Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms. Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation. Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting. Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments. Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems. Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components. Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets. Demonstrated ability to troubleshoot complex hardware, software, and networking issues. Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments. Strong analytical and problem-solving skills with a performance-first mindset. Scripting and automation using various languages (Python\Go) Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services. Your responsibilities will include: Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes Collaborate closely with hardware, networking, and data center operations teams to improve reliability What we expect you to have: 5+ years of professional software engineering experience Strong production experience with Python and Go, or the ability to ramp up quickly Solid Linux fundamentals and comfort debugging live systems Ability to write reliable, maintainable code and dig into complex, ambiguous problems Experience building and operating production systems at scale It will be an added bonus if you have: Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages) CCNA (Cisco Certified Network Associate) or equivalent networking experience Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. ABOUT THE PROJECT Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform. The platform will include: - data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. - agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes - research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.   WHAT YOU’LL DO - Design and implement AI-powered features: integrate LLM and build AI agents. - Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete. - Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents. - Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases. - Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments. - Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI. - Participate in technical design reviews, shaping architectural decisions and engineering standards. WHO ARE YOU - You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors. - You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built. - You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically). - You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems. - You have a strong understanding of distributed systems design patterns. - You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively. - You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications. - You are fluent in at least one non-JS programming language (Java is a strong advantage). - You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives. - You thrive in environments where AI isn’t a side feature but a core building block. - You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed. - You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments. WHAT YOU BRING - 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js. - 9+ months of commercial experience building AI features using OpenAI ecosystem. - Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows. - Experience designing and implementing MCP servers to integrate external capabilities with LLMs. - Proven ability to design structured prompt architectures with evals, guardrails and observability. - Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration. - Strong fundamentals in building secure, performant, production-grade APIs and backend systems. - Experience with CI/CD, testing, monitoring, and cloud infrastructure. ADDITIONAL SKILLS - Understanding concepts of semantic search is a strong advantage. - Experience playing a role of team leaders is a strong advantage. - Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage. - Experience with streaming UIs, conversational UX, and SSE/WebSockets. - Knowledge of prompt injection defenses and responsible AI practices. TECH STACK This platform is a green-field development. - Core: TypeScript, Node.js, React/Next.js, Java - AI: OpenAI API, MCP servers, OpenAI Agents SDK - APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much) - Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines - Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. New data center development: We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. The role As an IT Datacenter Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure. Collaborating effectively with internal teams and external contractors to address technical and operational challenges. Installation, upgrading and dismantling of hardware based on operational requests and requirements. Managing and maintaining the connectivity of fiber optic cables and patch cords. Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations. Processing Return Merchandise Authorizations (RMAs) in compliance with established manuals and procedures. Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance. Collaborate with key stakeholders, including (teams, executives). We expect you to have: 3+ years of hands-on experience in diagnosing and resolving server hardware issues. A solid understanding of data center operations, as well as server and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools. Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables. Excel skills, including proficiency with pivot tables, formulas, lists and graph creation. A proactive, responsible and goal-oriented approach to work. It will be an added bonus if you have: Driving License (Category B) Project planning skills 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: Hybrid 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: Lisbon About the Deal Desk Team: The Deal Desk team is a critical component of the Finance function, acting as a strategic partner to the global Sales organization. We are responsible for partnering with sales to structure, negotiate, and close complex deals. We ensure that deals meet the requirements of "good business" while also keeping our customers' best interest in mind. We are committed to building a data-centric and AI-augmented Deal Desk that leverages predictive analytics and automated workflows to optimize pricing in real-time and automate routine approvals, allowing for deeper strategic focus. Role Summary: As a Deal Desk Manager, you will be the architect of our AI-driven deal desk, transitioning our sales process from manual workflows to an intelligent, automated engine that spans from initial scoping to final execution. By leveraging agentic workflows and automated data layers, the focus shifts to high-judgment architecture for non-standard enterprise deals. The objective is to serve as a high-influence "Sales Co-pilot," using AI-driven insights to maximize deal velocity and Long-Term Value (LTV) while relentlessly reducing friction through iterative process automation. What you’ll do: Orchestrate Strategic Deal Architecture: Lead the structuring and execution of non-standard, high-value enterprise deals, providing high-judgment guidance that balances competitive differentiation with long-term business health. Sales Co-pilot & Strategic Influence: Serve as a strategic partner to Sales leadership, utilizing AI-driven data to maximize deal velocity, improve LTV, and ensure discovery reflects true customer needs. Perform analysis on pricing and deal terms, leveraging AI insights to recommend "next best action" for deal structuring and margin optimization. Curate and Tune AI Agents: Manage the enterprise deal approval ecosystem by tuning automated agents and models to ensure compliance and accuracy at scale. Drive Process Iteration: Partner with cross-functional teams (Legal, Finance, Product) to build, streamline, and automate deal desk processes, architecting autonomous approval workflows and focusing on reducing field friction through relentless automation. Champion AI & Automation Integration: Champion the integration of LLMs and generative AI tools to automate deal desk workflows, significantly reducing deal cycle times. Identify bottlenecks and implement AI-powered productivity solutions. Required Skills & Experience: 6-8+ years of Deal Desk, FP&A, Revenue Operations, or similar experience, with a proven track record of supporting large-scale enterprise sales motions; 3+ years of deal desk experience preferred. Financial & Sales Acumen: Solid understanding of SaaS metrics, pricing models, and financial concepts like ARR, Gross Margin, churn, and profitability. Experience with revenue recognition principles (e.g., ASC 606) is highly desirable. Experience selling software is a bonus. Contract & Pricing Knowledge: Experience drafting and interpreting commercial contracts, with a focus on terms that impact revenue recognition and financial risk. Ability to analyze and recommend the best course of action for complex pricing and licensing situations. Data & AI Literacy: Proficiency in leveraging agentic workflows and prompt engineering to scale influence, extract insights from large datasets, and automate repetitive operational tasks and internal documentation. Algorithmic Thinking: The ability to understand and audit automated pricing models to ensure alignment with long-term company goals. Strategic Influence: Demonstrated ability to navigate complex, cross-functional negotiations and make high-judgment decisions in fast-paced environments. Process Design Mindset: A relentless focus on iterative automation and the ability to translate complex business policies into streamlined, automated logic. Communication Excellence: Exceptional written and oral communication skills, capable of explaining complex deal structures and financial data to both technical and executive stakeholders. Nice-to-Have Skills: Experience in software sales or sales operations, providing a "boots on the ground" perspective of the sales cycle. Deep knowledge of Cloud/SaaS infrastructure and the global cybersecurity competitive landscape. If you're excited by fast-paced innovation, dedicated to driving global growth, and want to help build a better internet, we'd love to hear from you. 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.