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Location: London, England Workplace: Remote ROLE SUMMARY Temporal is shaping the future of application development by enabling organisations to build, scale, and run resilient applications. We are seeking a highly skilled and experienced Senior Enterprise Account Executive to join our Growth team and drive revenue within some of the largest and most complex enterprise organisations within EMEA. In this role, you will own a small portfolio of named accounts, selling to highly technical personas such as software engineers, engineering leaders, architects, and executive stakeholders. As a strategic partner to our customers, you will lead a cross functional account team, uncover expansion opportunities across multiple business units, and drive long-term adoption of Temporal’s solutions. Your ability to balance executive presence with technical credibility, combined with a partner-oriented and resilient mindset, will enable you to thrive in long, complex sales cycles within a high-growth environment. 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 lifecycle within a defined set of named enterprise accounts, from strategic planning to expansion and renewal. - Develop and execute deep, multi-year account strategies to expand Temporal’s footprint across multiple divisions, teams, and buying centres. - Multi-thread across software engineers, architects, engineering leaders, and executive stakeholders to understand business and technical priorities. - Lead complex, value-based and ROI-driven sales motions that align Temporal’s capabilities to enterprise-wide initiatives. - Navigate sophisticated technical and organisational discussions, positioning Temporal as a long-term platform partner. - Build trusted advisor relationships at the executive and practitioner levels, driving adoption and long-term customer success. - Partner closely with customer success, solutions architecture, product, RevOps, and deal desk to deliver cohesive, win-win outcomes. - Drive enterprise expansion through solution selling, enablement, and adoption-led growth motions. - Adapt and execute on account strategies to meet the evolving needs of large, complex organisations. - Manage and accurately forecast your business in SDFC. WHAT YOU'LL BRING - Demonstrated expertise in enterprise software sales, typically gained through 10+ years of experience in similar roles. - Proven success owning and expanding named strategic enterprise accounts with long sales cycles and high deal complexity. - Strong solution-selling background with the ability to articulate ROI and business value across multiple business units. - Deep technical and business acumen, with the ability to bridge conversations from software engineers to C-level executives. - Demonstrated success navigating political complexity and closing 7 figure, multi-year deals within large, matrixed enterprise organisations. - Exceptional ability to multi-thread across executives, engineers, and diverse buying centres. - Grit, resilience, and comfort operating in long, high-stakes sales cycles. - Executive presence paired with approachability and credibility with technical audiences. - Experience with developer tools, infrastructure platforms, or highly technical products. - Familiarity with consumption-based or adoption-driven sales models. 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: Israel Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case. You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Israel, close to some of our biggest customers in EMEA. Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works. WHAT YOU'LL DO - Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps - Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design - Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases - Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering - Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects - Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too WHAT YOU'LL BRING - 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else - Specialist depth in data modelling, query performance and integration on distributed or analytical databases - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth - Hands-on cloud experience (AWS, GCP and/or Azure) - You've run distributed systems, such as distributed databases, in production - You explain technical trade-offs clearly, to engineers and to executives - Fluent English and Hebrew NICE TO HAVE - Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid - Involvement in open source, as a user, contributor or community member - A working knowledge of Kubernetes GOOD TO KNOW - You'll be based in Israel. Travel to customer sites is part of the job, up to 35% of your time, within Israel and throughout EMEA - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rota, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take four to five hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a frontier data research lab. Their thesis: models are what they eat. A large share of training compute is burned on data that's redundant, irrelevant, or harmful - so they built a platform that automatically curates petabytes of raw data into high-quality training data. It's modality-agnostic, needs no labels, and runs inside the customer's own cloud or on-prem. The results are concrete: 7-40x faster training, performance as if trained on 10x+ more raw data, and models with less than half the parameters beating larger ones. AI labs and enterprises use it to train and adapt their own models. Our client has raised ~$60M across Seed and Series A, led by Felicis and Amplify Partners, with Radical Ventures, Microsoft, and Amazon. Angels include Geoff Hinton, Yann LeCun, and Jeff Dean. The team is growing fast on the back of a strong enterprise pipeline. THE MISSION Every company should own its intelligence. Our client wants every AI team - not just the frontier labs - to have frontier-quality training data and full control over the cost and roadmap of their own models. THE OPPORTUNITY Our client is hiring an AI Developer Experience & Media Lead to build its media and developer experience function from zero. You'll be the voice of the company on X and beyond, turning real research into threads, demos, videos, and launches that technical people actually want to read and share. You'll sit on the marketing team and work directly with the co-founder on content strategy and execution, with direct access to the researchers and engineers doing the work. No legacy playbook, no layers of approval - and an AI community that's already paying attention. WHAT YOU'LL DO - Turn research and product work into technical storytelling - threads, demos, videos, and launches - Run the company's voice on X day-to-day: posting, replying, quote-posting, and joining live conversations in real time - Help founders and researchers show up in their own voices - draft for them and enable their social presence - Own research launches end to end across X, the technical blog, and video - angle, assets, sequencing, follow-through - Build real relationships with researchers, open-source developers, AI creators, and technical founders - Bring community feedback back to product and research to shape what gets built and communicated next - Experiment across formats and channels, track what earns attention and trust, and let the data steer strategy WHAT YOU BRING Must-haves - An active personal X account with 1,000+ followers and a technical audience - Experience creating social content that explains technical concepts - You build your own technical demos - code, notebooks, and video - Strong short-form technical writing - threads, posts, blogs - 2-7 years in technical content, developer marketing, or DevRel in AI/ML Nice-to-haves - CS, ML, or other technical degree (or equivalent self-taught depth) - Experience at an AI model or infrastructure company KEY SUCCESS DRIVERS - X-native: you're already in the AI conversation and know what earns respect from researchers and engineers - Technically credible: you can read a paper, build a demo, and explain it without losing the substance - Ownership: you ship without waiting for a brief and take on the unglamorous work - Experimental: you test formats, read the data, and double down on what works - Focused: you prioritize ruthlessly when everything looks important - Collaborative and candid: you work closely with founders and researchers and give honest feedback with respect - At home in a fast, flat, in-person startup WHY JOIN? - Real material: research with measurable, dramatic results - you'll never have to fake the story - Greenfield ownership of the whole function, working directly with the co-founder - Built-in credibility: backed by Felicis, Amplify, Radical, Microsoft, Amazon, Hinton, LeCun, and Dean - Early equity at an inflection point, when brand and community compound most - $160K-$230K base + significant equity - 100% covered medical, dental, and vision; 401(k) with 4% match; unlimited PTO - $2K wellness and $1K learning stipends; daily lunches; relocation assistance; open to visa transfers INTERVIEWING PROCESS 1. First chat with the Hiring Manager (30 min) 2. Head of Marketing interview (45 min) 3. Take-home content exercise (1 hr) 4. Founder conversation (30 min) 5. On-site team meet (1 hr) We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are looking for an Intermediate Developer to join the Device Trust team and help us improve the reliability and operational excellence of the systems behind the Device Trust authentication service. This is a software engineering role with a strong reliability focus. You will write and maintain production code, improve how our services are operated, and help make a critical applications path safer, more observable, and easier to evolve. Device Trust authentication is an important component of our customers’ authentication flows, helping organizations make device posture part of their access decisions. Because it sits directly in that path, reliability is a first-class engineering concern. The service is already relied upon by customers every day, and in this role you’ll help us continue raising the bar through stronger resilience, observability, operational practices, and safe evolution of the system. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have 2+ years of experience in software development. - Experience working with backend services, application programming interfaces (APIs), distributed systems, or other software where reliability and availability matter. - Take ownership of scoped problems from investigation through implementation and follow-up. - Familiarity with Ruby on Rails (Rails). - Use observability tools to understand system health and investigate issues; experience with Datadog is valuable. - Care about testing, maintainability, and clarity in both code and documentation. - Communicate clearly by sharing progress, raising blockers early, and helping stakeholders understand outcomes. Bonus points for: - Familiarity with or exposure to Kubernetes. - Experience with Datadog. - Experience with Terraform. What you can expect: - Build and improve the services that power Device Trust. - Improve the reliability, observability, and operability of production systems through software, automation, and thoughtful engineering practices. - Work across application code, service dependencies, cloud infrastructure, networking, deployment systems, and operational tooling. - Help establish safer ways to make and validate changes to critical systems. - Participate in incident response and post-incident learning, turning operational lessons into lasting improvements. - Partner with engineers across Device Trust, Platform, Security, and other teams to identify risks, reduce operational friction, and improve the customer experience. USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Workplace: none About us: At Praktika.ai we are on a mission to deliver efficient and engaging learning experiences for billions of students worldwide by bridging the gap between learning apps and human tutors. We have done this by creating a fully automated language tutorship experience powered by generative AI Avatars. After raising $30 million in Series-A funding, we are growing and looking for a Chief of Staff to join us! We are a global small team of 50 innovators who are pushing the boundaries of what’s possible in language learning and tutoring. In this fast-paced environment we like independent self-starters who can work well in a team as well as unassisted and who enjoy the working environment of an early-stage startup. About the role: Be the glue across the company, the heart of the role: Run the leadership rhythm. Prepare the weekly leadership sync, write down what was decided, and follow up every action until it is done. Know what every team is doing. Spot work that falls between teams and either fix it or get someone to own it. Turn priorities into plans. Take the CEO's priorities and turn them into plans with an owner, a date and a one-line weekly status. Unblock decisions. Bring each open decision to the right person with the facts and a recommendation, so nothing waits for weeks. Own what has no owner. When something lands with no obvious home, it comes to you. Finance, about 40% of your time Own the financial model. Update it monthly, or weekly when needed. Build scenarios such as a fundraise, a cash view next to the accrual view, and unit economics like LTV:CAC and renewal curves. Run the monthly close with our external accountant. Review the numbers, catch errors before they reach the books, and report actuals against budget to the leadership team. Get us ready to raise. Prepare the finance and reporting for investors and the board, so we are ready for the next fundraise. Run tax and entity admin across our UK, US and UAE entities, with outside advisers: VAT returns, US tax and transfer pricing. Manage vendor spend. Approve and pay invoices, negotiate the big contracts (payments, cloud, analytics, AI providers) and track every renewal date. Look after equity admin: option grants and the cap table, with our lawyers. Compliance and legal Run the compliance programme with our engineering lead: ISO 27001 and SOC 2, the yearly audits, policies and evidence. Support enterprise deals. Work with the B2B team on security questionnaires, data processing agreements and contract reviews. Keep the company in order: contracts, board consents and minutes, visas and entity filings, with our lawyers and people team. Strategic projects Take big bets from idea to launch: new markets, new distribution platforms and large partnerships. Spot opportunities nobody owns, such as an award, a partnership or a market, and move them without being asked. Run one-off projects for the CEO and the leadership team: research, business cases, incentive plans and process fixes. What are we looking for from you: A finance background. Investment banking, private equity, venture capital or corporate finance. This is not optional. Strong financial modelling. You can build and run a company model from scratch, and explain it to people who do not work in finance. Proactive. You see what needs doing and do it before anyone asks. We value this trait above all others. Autonomous. You make decisions on your own, with incomplete information, and you are comfortable with ambiguity. A clear writer. We work async, so most of your influence will happen in writing. Low ego. You do the unglamorous tasks as well as the strategic ones, and you see them as the way to learn the business. Built for startup pace. Urgent turnarounds and changing priorities do not throw you. You would rather ship, learn and fix than wait for perfect. Why should you join Praktika: We expect dedication and hard work but we also believe in rewarding it. Our compensation reflects the effort and results you bring to the table. Top-tier salary to match your top-tier skills Equity that grows with your impact: Equity growth via stock options 26 days holidays plus bank holidays. (34 days per year) Yearly off-sites: Last year was in Dubai! Health and wellness benefits to support your overall well-being through Safetywing Access to an AI toolkit including ChatGPT, Copilot, and other productivity tools Annual educational budget of up to $1,000 Interview Process: We will provide you with feedback throughout the interview process. Join Praktika and lead the charge in driving exponential growth and innovation. Apply now to be part of a team that is redefining language learning for millions of users worldwide.

Location: Tampa, United States; Austin, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? We are seeking a highly motivated Technical Project Manager to lead enterprise integration projects for our growing customer base. This role is ideal for someone with a strong software engineering background who can bridge the gap between customers, product teams, and developers. The ideal candidate brings hands-on experience with modern technologies (Java, Kotlin, TypeScript, JavaScript, REST APIs, Kubernetes, and enterprise integrations) along with strong communication and leadership skills. Responsibilities Lead enterprise integration projects end-to-end, aligning customer requirements, technical delivery, and post-launch support. Serve as the primary liaison between customers, engineering, and stakeholders, driving cross-functional collaboration across APIs, mobile, and infrastructure. Manage project scope, timelines, risks, and dependencies across multiple initiatives. Facilitate technical discussions and support architecture, API design, and integration decisions (including OpenAPI). Oversee testing, release coordination, and troubleshooting across application, integration, and network layers. Communicate status, risks, and escalations clearly while promoting Agile best practices and strong team collaboration. Requirements Bachelor’s degree in Computer Science, Engineering, or related field. Strong background in software development and enterprise integrations. Experience with REST APIs, OpenAPI, and integration workflows. Solid understanding of networking, system configuration, and troubleshooting. Strong problem-solving, organizational, and communication skills; experience in Agile environments preferred. Preferred Qualifications Experience as a TPM, Solutions Architect, Engineer, or Engineering Manager. Experience managing enterprise integration or implementation projects. Familiarity with IoT, wearables, or frontline workforce applications. Experience with cloud platforms and DevOps practices. What we offer Work location is Tampa, FL or Austin, TX Competitive compensation Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly team events and companywide celebrations Open door policy, business casual dress code, frequent all Hands and Leadership Lunches TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. Please understand TeamViewer is unable to provide sponsorship for employment or work authorization now or in the future.

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 Location: Northeast What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London, United Kingdom Workplace: hybrid David Kennedy Recruitment is partnering with a global technology services and consulting organisation, that is seeking to onboard a Senior Forward Deployed Engineer specialising in Agentic AI to join their team in London. This is a hands-on engineering role combining AI development, enterprise software integration and direct customer engagement. You will design, build, integrate and deploy AI agents and multi-agent systems into production environments, taking ownership of technical delivery from initial discovery through to enterprise rollout. Position: Senior Forward Deployed Engineer Location: London, UK Model: Hybrid Employment type: Full time DUTIES AND RESPONSIBILITIES: Design and develop production-ready AI agents and multi-agent workflows Build AI solutions using platforms such as OpenAI, Anthropic Claude, Google and Microsoft, alongside frameworks such as LangGraph Integrate AI agents with enterprise applications, APIs, databases, cloud services and internal business systems Implement retrieval pipelines, automation workflows and agent orchestration Develop evaluation frameworks, automated testing, monitoring and production safeguards Troubleshoot AI model, integration, deployment and performance issues Own technical delivery from discovery and prototyping through production deployment Ensure solutions meet enterprise standards for reliability, security, maintainability and scalability REQUIREMENTS: Several years of hands-on software engineering experience using Python, TypeScript, Java or equivalent programming languages Proven experience developing applications using large language models (LLMs) and AI agents Hands-on experience with at least one major agentic AI ecosystem, such as OpenAI Agents SDK, Anthropic Claude Agent SDK, Google ADK, Microsoft Agent Framework, LangGraph or an equivalent framework Strong understanding of agent orchestration, tool calling, retrieval-augmented generation (RAG), prompting and multi-agent workflows Experience integrating APIs, databases, enterprise applications and cloud services Strong software architecture, debugging, testing and integration skills Ability to translate complex business requirements into practical technical solutions OFFER: Competitive annual salary Hybrid working model based at the client´s London office Opportunity to work on cutting-edge Agentic AI solutions for enterprise customers Hands-on involvement in designing, building and deploying production-ready AI agents and multi-agent systems Opportunity to work with leading AI platforms and technologies, including OpenAI, Anthropic, Google and Microsoft Opportunity to take ownership of complex AI projects from initial discovery through to production deployment And many more!

Location: San Francisco We're hiring a Head of Global Campaigns to own Asana's global pipeline engine. Lead the strategy, build, and optimize our full-funnel demand programs across enterprise and commercial segments, translating Asana's new agentic positioning into campaigns that generate real pipeline and accelerate revenue. Manage a team of Demand Generation strategists and partner closely with field marketing, partner marketing, product marketing, creative, and RevOps to own the global number for MQL marketing pipeline. As part of the Marketing team, you will join a global, revenue-driven function focused on fueling business growth and building a brand customers love. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define and own Asana's global demand generation strategy for corporate and enterprise segments, setting and tracking marketing-sourced pipeline targets, MQLs, SQOs, conversion rates, and campaign ROI. Architect integrated multi-channel programs that move buyers from problem identification to purchase, with a particular focus on enterprise buying committees such as CIOs, COOs, Heads of IT, and Ops leaders. Build and operate always-on demand programs alongside campaign-specific bursts for product launches, vertical pushes, and key buying seasons. Partner with content and PMM to ensure campaigns are anchored in differentiated messaging across Asana's core GTM pillars (Operations, Marketing, IT/AI, and Agencies). Lead the ABM strategy targeting Asana's highest-priority accounts, deploying intent-driven ABM platforms and partnering with paid media to optimize account penetration and pipeline velocity. Define attribution models and reporting frameworks that provide clear visibility into marketing's contribution to new logo acquisition and pipeline. Bring an AI-first approach to demand generation workflows, utilizing automation for campaign launches, optimization, content personalization at scale, and reporting. Lead, develop, and scale a high-performing demand generation team, establishing demand gen pods to drive cross-functional alignment and eliminate random acts of marketing. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Extensive experience in B2B demand generation, with a proven track record in enterprise SaaS owning marketing-sourced pipeline targets across AMER, EMEA, and APJ. Proven capability in building or materially scaling a demand generation function during a significant company growth, category shift, or platform repositioning phase. Deep hands-on expertise with ABM platforms (such as 6sense or Demandbase) and executing programs against multi-stakeholder buying committees with long sales cycles. High technical and analytical proficiency with GTM tools such as Marketo, Salesforce, and BI/attribution tools (e.g., Tableau). Data-driven decision-maker fluent in MQL-to-SQO conversion, pipeline velocity, and multi-touch attribution, with a strong ability to build performance-based business cases. Experienced people leader who thrives as a cross-functional collaborator, aligning diverse global stakeholders around shared pipeline goals without introducing bureaucracy. Strategic thinker with a distinct perspective on how AI agents change enterprise buying behavior, bringing experience marketing a comprehensive platform or operating layer rather than a standalone point solution. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $207,000 - $243,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Hyderabad Workplace: onsite On-site · Full Time · People Manager · +5 Years of Experience · India Only Corporate IT Manager This role is open only to candidates based in India. Applications from outside India will not be considered. Who We Are Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno. About The Role Yuno is looking for a Corporate IT Manager, based in India, to own the internal technology backbone that keeps our fully remote, global team productive and secure. From device management and identity to SaaS administration and compliance, you'll lead Corporate IT, a new area within our Tech Infrastructure team, designing systems and automation that scale as Yuno grows across 190+ countries. This is not a helpdesk role. You'll own the corporate IT stack end to end, drive the roadmap, automate what others still do by hand, and make security and compliance a built-in default rather than an afterthought — which matters when the company runs payments for global brands. You'll work closely with our Security team, taking corporate IT workload off SecOps, and you'll build and lead the Corporate IT team as it grows. How AI Shows Up in This Role You'll build AI-driven automation for IT and helpdesk, turning repetitive requests and lifecycle workflows into self-serve flows, and maintain machine-readable documentation that AI assistants can act on As an AI-native company, Yuno runs on a growing stack of AI tools — you'll own how they're provisioned, secured, and governed across the org, managing access and OAuth/shadow-AI risk. And you're encouraged to use AI to move faster in your own work Your Contribution Will Be Corporate IT ownership and roadmap — own the corporate IT function end to end and drive the corporate IT roadmap as the company scales Device and endpoint management — own the MDM platform (Jamf, Intune, or Kandji) for a distributed macOS and Windows fleet: zero-touch provisioning, patching, configuration-as-code, and endpoint security Identity and access management — administer the identity provider (Okta or equivalent), SSO, MFA, and SCIM; automate onboarding and offboarding, and enforce least-privilege access across every system SaaS administration and governance — manage the SaaS stack (Google Workspace, Slack, Atlassian, and more), rein in shadow IT and OAuth risk, and right-size licenses and access Security and compliance — build and maintain the controls, access reviews, and audit evidence that keep Yuno compliant (SOC 2, PCI DSS, ISO 27001), partnering with Security on vendor reviews Automation — replace manual work with scripting and workflow automation (Python, Okta Workflows, or similar) Team leadership and enablement — act as the senior escalation point for complex IT issues, maintain clear runbooks and documentation, and lead and mentor the Corporate IT team as it grows What Success Looks Like Within your first 6–12 months, onboarding and offboarding run end to end without manual steps, the device fleet and SaaS access are fully managed and auditable, and SOC 2 and PCI evidence is something the team produces continuously rather than scrambling for at audit time. Skills You Need Minimum Qualifications 5+ years in corporate IT, IT operations, or IT systems engineering, ideally supporting a distributed workforce Experience managing or mentoring IT team members, or leading corporate IT for a team or company Based in India, with the right to work in India MDM expertise — hands-on with Jamf Pro, Intune, or Kandji for macOS and Windows fleet management Identity and access management — managing an identity provider (Okta strongly preferred), SSO, MFA, and provisioning/deprovisioning SaaS administration — Google Workspace, Slack, Atlassian, and similar, with an understanding of SaaS and OAuth governance Security and compliance — hands-on support for frameworks like SOC 2, ISO 27001, or PCI DSS (access reviews, audit evidence) Scripting and automation — Python, JavaScript, PowerShell, or workflow tools to eliminate manual toil Networking fundamentals — TCP/IP, DNS, DHCP, and VPNs English — advanced proficiency, written and spoken Preferred Qualifications Building AI-driven IT automation (e.g., Console.com, Risotto, Unthread) or helpdesk and agentic tooling Hardware lifecycle and asset management (ITAM) at scale Experience in the payments or fintech industry, where compliance and access controls are stricter Familiarity with Zero Trust, PAM, and least-privilege access models Nice to Have Configuration-as-code for endpoints (an infrastructure-as-code mindset for IT) Experience securing and governing AI tools or agents across an organization

Location: Colombia Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: Costa Rica Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As Manager, Cybersecurity Sales Specialists, you'll build and lead the team of cybersecurity specialists who sell to security teams across our Americas business units, including financial services, healthcare and life sciences, and technology. Your team partners with the Account Executives in each industry to lead the security strategy and the security deal with CISOs. You'll help shape how Anthropic sells security: how your team covers the business units, how it works with the Account Executive and Applied AI organizations, and how what we learn from customers shapes what we build. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well, and this team is how we get it into their hands. Responsibilities Hire, onboard and develop a high-performing team of cybersecurity sales specialists Own your team's forecast, pipeline health and results across the business units you cover Set your team's coverage model, and agree on clear rules of engagement with the sales leaders who own each industry and with Applied AI leadership on discovery, proofs of concept and architecture Build a pipeline engine with the Account Executives, across their existing accounts and through outbound to security leaders, events and partners Coach your team through complex deals that lead with the customer's problem (finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely), and act as executive sponsor with CISOs on the most important ones Make security reviews, verification for security use cases, and procurement a repeatable path rather than a deal-by-deal effort Scale enablement so Account Executives across every business unit can spot and qualify security opportunities Bring what your team hears from security customers to sales leadership and to our product, safeguards and marketing teams, and turn it into input on the roadmap Run a healthy team: clear expectations, regular feedback, and performance and development conversations Minimum Qualifications Experience building and leading a cybersecurity sales team that carried a number, whether direct, specialist or overlay, including hiring, coaching and managing performance Track record of closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver, and of coaching others to do the same Fluency in how security teams work, built by selling directly to CISOs, application security leads and security engineers Depth in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security History of building a business before there was an established approach, through outbound and partners rather than inherited accounts Ability to lead through influence as well as authority, so that Account Executives and their leaders bring your team in because it helps them win Consultative approach to selling and coaching: understanding the problem before proposing anything, and being honest about what a product can't do Commitment to making AI systems safe and beneficial Preferred Qualifications Background selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience managing managers and individual contributors, or scaling a sales team through fast growth Experience leading teams selling AI, developer or data platform products to technical buyers Time spent as a security practitioner or sales engineer before moving into sales leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role.   WHAT YOU'LL ACHIEVE: - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature.   SKILLS YOU'LL NEED TO BRING: - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles. - Fluency in Italian and/or Spanish   NICE TO HAVES: - Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions. - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals. - Prior experience selling to commercial accounts in productivity, collaboration, or workflow software. - Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and are enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €174,000 - €186,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

- Опыт коммерческой разработки на Java от 4 лет. - Опыт в Enterprise-среде (банки, финтех, телеком) — обязательно❗️.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Engineer on the Latency & Throughput team, you will push the frontier of LLM inference by researching and prototyping techniques that reduce latency and increase throughput — from speculative decoding and quantization to KV compression and new attention variants. The team sits at the intersection of research and production: you will take ideas from recent literature, form hypotheses, run experiments, and ship the techniques that prove out into our serving stack. This role sits between our inference engineers, who own the production serving stack, and our research scientists, who focus on paper-level contributions. You will be more science-focused than a pure engineer: you are expected to generate new ideas, keep up with the state of the art, and implement proof-of-concepts that bridge the gap between academic results and production impact. Some techniques you explore will be lossy or require integration into training — retraining models, tuning architectures, or training auxiliary models to improve inference. You will work closely with the Inference Foundation and Kernels teams, who turn your validated techniques into production recipes, and with pretraining and RL teams when your work touches model training. Success is measured by demonstrated latency or throughput gains, first at small scale, then adopted in production. What You Will Do - Research and prototype inference techniques — speculative decoding, quantization, KV compression, watermarking, and new model architectures — by reading recent literature and forming testable hypotheses. - Design and run experiments to validate or refute ideas, iterating quickly on small-scale setups before proposing production integration. Demonstrate clear latency or throughput gains without unacceptable quality loss. - Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack. - Partner with pretraining and RL teams when techniques require co-training, retraining, or training auxiliary models to improve inference. Build the right tooling and validation platforms to facilitate AI-driven inference research. What We're Looking For - A strong ML background with solid knowledge of LLM training techniques — architecture, tokenization, fine-tuning, and evaluation. - Hands-on experience with Python and PyTorch; you write clean, experimental code and iterate fast. JAX is acceptable with strong Python proficiency. C++ and Rust are not required, CUDA and GPU knowledge is expected but hands-on experience is not required. - Research experience of some form: a thesis, publications, a dedicated research project, or efficiency-oriented work in a lab or industry research setting. A PhD is not required, but we are looking for genuine research depth. - A track record of conducting experiments: forming hypotheses, designing controlled comparisons, and drawing clear conclusions from results. - Familiarity with the state of the art in LLM inference — you know what has been tried, what works, and where the open problems are. - Self-starter, low-ego, and collaborative. You are comfortable with ambiguity, negative results, and are eager to take matters into your own hands. - Inference or serving experience is a plus, not a requirement. Prior work with vLLM, production LLM deployments, or serving systems will help you ramp up faster. Location and Remote This role is based in our Paris or London offices (hybrid). We will prioritize candidates who reside in the Paris area or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. For senior profiles, we will also consider remote candidates based in France. In that case, we ask all new hires to visit our Paris office: - For the first week of their onboarding (accommodation and travel covered) - Then at least 3 days per month WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Amsterdam, Netherlands Are you comfortable navigating complex software systems, working with coding agents, and defining what makes developer tools actually useful? Do you want to shape how developers and AI work together inside IDEs? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do Agentic development is changing how software gets built. Developers no longer just chat with AI – they delegate tasks, run parallel agent sessions, and steer autonomous changes. As agents take on more work, reviewing and owning the output is becoming the hardest part of the process. JetBrains Air is our open system for agentic development. It brings tools like Codex, GitHub Copilot, Claude Agent, Gemini, and Junie directly into JetBrains IDEs, providing an agentic-first user experience. We are looking for a Senior Product Manager to lead key areas of Air. You’ll take ownership of high-impact workflows, work closely with cross-functional teams (including software engineers, designers, ML researchers, analysts, DevRel, and product marketing), and turn technical complexity into clear product direction. Day to day, you will: Take end-to-end ownership of key parts of Air in JetBrains IDEs, driving work from problem framing and discovery to delivery, adoption, and iteration. Define and refine core agentic workflows, including task delegation, session monitoring, steering, and code review. Model complex user flows, system states, permissions, and integration schemes to guide engineering and design decisions. Maintain a transparent roadmap that balances quick improvements with long-term strategic investments. Define telemetry, design experiments, analyze product data, and make evidence-based roadmap decisions. Study how developers interact with leading AI agents and tools to inform product priorities. Engage with the Agent Client Protocol (ACP) ecosystem and collaborate with partners building on it. Partner with enterprise sales and support teams to address governance, privacy, and control requirements. What you’ll bring A systems-thinking mindset that easily breaks down complex architectures, workflows, and dependencies. A data-driven approach to product decisions, including hands-on experience querying and analyzing telemetry. Active personal experience using coding agents and clear perspectives on where current AI tools succeed and fail. Strong product intuition for complex technical user experiences and developer workflows. Clear, concise, and collaborative communication skills with the ability to explain complex technical concepts simply and build alignment across diverse groups of stakeholders. Comfort navigating fast-changing technical landscapes with high ambiguity. What you’ll need Proven experience shipping end-user products as a product manager or in a similar role. Strong technical grounding in software development workflows, including IDEs, git, code review, CI/CD, and package management. A hands-on technical background sufficient to collaborate closely with software and ML engineers. An understanding of core AI and agent concepts, including tool use, protocols (MCP/ACP), context retrieval, evaluations, and latency/cost trade-offs. The ability to write SQL or Python to analyze product metrics and experiment results independently. Fluency in English, both written and spoken. What success looks like In your first 6 to 12 months, success in this role means: Driving measurable growth in active Air users and improving weekly/monthly retention (D7/D30). Increasing agent session completion rates and the proportion of agent-generated changes accepted by developers. Establishing clear, telemetry-backed decisions across your product roadmap areas. Delivering validated product hypotheses consistently each quarter. Contributing directly to JetBrains AI revenue growth and overall IDE value. Why join JetBrains? Strong base salary – We offer competitive pay that reflects your skills and experience. Flexible work schedule – Enjoy the freedom to work from home or from the office. Extra time off – More days to relax, recharge, and do the things you love. Learning and development opportunities – Access to conferences, courses, and language classes. Free meals and snacks – Lunch and refreshments provided to keep you fueled. Health and wellness – On-site gyms or sports club stipends. Internal events – Company-wide celebrations and team gatherings. We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. If this sounds like a challenge you'd enjoy, send us your resume and a short note on why you're interested in Air. #LI-KL1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for an Engineering Manager for Network Infrastructure to own delivery of network infrastructure initiatives in APAC. This is not a role for someone who only coordinates tickets and status. It is a role for someone with an engineering skeleton: a person who has built, operated, broken and recovered things, and can earn the trust of SREs, SWEs, network engineers, and security and platform teams. We are at the early stage of our APAC expansion, so at first you will be hands-on: reviewing designs, stepping into incidents, and writing code or automation when the team needs it, with a high degree of independence from the European teams. As the organisation grows, the scope of the role will grow with it. You own delivery. You will make important cross-team initiatives land: defining scope, aligning owners, exposing risks, driving decisions, tracking dependencies, and making sure we ship useful outcomes instead of half-finished initiatives. The job is not done when the technical pieces exist. It is done when engineers trust the tool, the NOC actually uses the workflow, alerts are actionable, runbooks are real, and the new way becomes the default way. You stay technical. You don't need to be the deepest expert in every area, but you should be technical enough to understand real trade-offs: why rollback is not optional, why "just automate it" can create a bigger blast radius, why SLOs without ownership are decoration, and why network device CI/CD is very different from deploying a stateless service. You can read a design doc, challenge missing assumptions, notice unclear failure modes, and help the team turn a vague but important problem into an executable plan. This is a high-leverage role in an early-stage and fast-scaling network infrastructure organisation. Many important systems are being built now: automation, observability, reliability standards, provisioning flows, operational safety, and cross-site consistency. You won't be maintaining a mature machine from the sidelines. You'll help shape how the machine works. Your responsibilities will include: Set the engineering bar: code quality, design review, on-call and incident management practices, and operational standards Own end-to-end delivery of cross-team network infrastructure initiatives in APAC, from a vague problem statement to an executable plan to adoption Define scope and success criteria, align owners across SRE, SWE, network, security, platform and data center teams, and drive decisions to closure Review designs and technical proposals, challenge missing assumptions, and surface failure modes, dependencies and risks early Stay hands-on where it matters: step into incidents, write code or automation, and unblock the team Drive adoption: make sure tools and workflows become the default way of working, with real documentation, runbooks and feedback loops Keep stakeholders, including the European teams, informed with clear, honest status and coordinate across time zones Turn operational pain and engineering input into a clear, prioritized backlog We expect you to have: 7+ years of experience in software, SRE, network or infrastructure engineering, including experience leading cross-team technical initiatives A real engineering background: you have built and operated production systems and can earn the trust of deeply technical teams Ability to read design docs and technical proposals, understand trade-offs, and ask sharp questions about reliability, rollback, blast radius and failure modes Strong understanding of infrastructure fundamentals (Linux, networking, automation, CI/CD) at the level needed to hold your own in technical discussions Proven ability to drive decisions and create clarity in ambiguous, fast-changing environments Excellent written and verbal communication, including documenting plans and decisions and influencing smart technical people Ability to work independently in an early-stage environment and to build processes from scratch Professional working proficiency in English (spoken and written) and comfort working across time zones It will be an added bonus if you have: Experience with network infrastructure: network automation, observability, or network device lifecycle management Experience with SLO/SLI frameworks, incident management, or production readiness processes Experience with CI/CD or change management for network or other high-blast-radius infrastructure Experience building a team from scratch or launching a new engineering hub Experience with secrets and access management, firmware rollout or fleet-wide operational initiatives Hands-on engineering contributions (code, tooling, automation) alongside management work Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) Examples of initiatives your team may own: A user and secrets management system for network infrastructure, including robot-user lifecycle, safe key/password rotation, revocation, break-glass access, mixed agent/push-based device support, and integration with existing secrets backends An SLO framework for network services and components, including SLIs, SLOs, dashboards, alerts, ownership, tiering, and a clear link between reliability targets and engineering investment CI/CD for network devices, where configuration changes, validation, staged rollout, rollback, and blast-radius control become disciplined and repeatable instead of manual and risky Fleet-wide operational initiatives such as firmware consistency, device lifecycle hygiene, observability coverage, monitoring quality, alert ownership, or production readiness for new network capabilities 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.