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Location: Shenzhen, China Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. The Account Director in China will manage and own the entire customer journey for our clients. You will be responsible for building strategic relationships, driving revenue through upsells, and ensuring renewals, your core KPIs. We are looking for someone with strong communication skills, self-motivation, and an entrepreneurial mindset. You’ll work cross-functionally with product, marketing, and support teams to deliver a seamless and impactful customer experience.   What you will do: - Manage business in China and grow Net Revenue Retention (NRR) by managing renewals and upsells. - Have c-level discussions with customers and work on strategizing their use cases with our platform. - Create, manage, and implement Quarterly Business Reviews. - Proactively understand the clients’ business to provide competitive insights and trends. - Collaborate with global product, engineering and other technical teams to improve our product offerings in China. - Follow industry trends and interpret these into day-to-day business impact. - Understand the product development cycle, being able to communicate between product teams and customers effectively to - manage expectations on feature requests and releases. - Identify product penetration, renewal, and upsell opportunities within the managed customer base.   Experience and skills that you can bring: - Full fluency of the Mandarin and English languages. - Experience in SaaS sales as a BDR, SDR, AE, or Account Manager. - Ability to turn data into a clear commercial narrative, using numbers and insights to build a persuasive case that moves a deal forward. - Strong understanding of the mobile gaming, entertainment, financial services, or security industries and their digital ecosystems is a significant plus. - Ability to identify product penetration, renewal, and upsell opportunities within the managed customer base - Self-starting attitude and entrepreneurial spirit are highly encouraged. - An eye for detail following the industry trends and interpreting these into day-to-day business impact. - Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate - results every day   Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Beijing, China Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. The Account Director in China will manage and own the entire customer journey for our clients. You will be responsible for building strategic relationships, driving revenue through upsells, and ensuring renewals, your core KPIs. We are looking for someone with strong communication skills, self-motivation, and an entrepreneurial mindset. You’ll work cross-functionally with product, marketing, and support teams to deliver a seamless and impactful customer experience. What you will do: - Manage business in China and grow Net Revenue Retention (NRR) by managing renewals and upsells. - Have c-level discussions with customers and work on strategizing their use cases with our platform. - Create, manage, and implement Quarterly Business Reviews. - Proactively understand the clients’ business to provide competitive insights and trends. - Collaborate with global product, engineering and other technical teams to improve our product offerings in China. - Follow industry trends and interpret these into day-to-day business impact. - Understand the product development cycle, being able to communicate between product teams and customers effectively to - manage expectations on feature requests and releases. - Identify product penetration, renewal, and upsell opportunities within the managed customer base. Experience and skills that you can bring: - Full fluency of the Mandarin and English languages. - Experience in SaaS sales as a BDR, SDR, AE, or Account Manager. - Ability to turn data into a clear commercial narrative, using numbers and insights to build a persuasive case that moves a deal forward. - Strong understanding of the mobile gaming, entertainment, financial services, or security industries and their digital ecosystems is a significant plus. - Ability to identify product penetration, renewal, and upsell opportunities within the managed customer base - Self-starting attitude and entrepreneurial spirit are highly encouraged. - An eye for detail following the industry trends and interpreting these into day-to-day business impact. - Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate - results every day Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself. What You'll Do: Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment. Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest. Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints. Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible. Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from. Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit. Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing. What You'll Bring: 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions. Experience with dynamic or algorithmic pricing systems in production. An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong. Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches. Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes. Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly. Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses. The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome. Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision. Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain. Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors. A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission. Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't Nice to have: Experience in marketplace, telecom, travel, or subscription/usage-based businesses. Bayesian or hierarchical modelling for sparse segments and long-tail SKUs. Competitive price response modelling, or working with scraped competitor pricing data. Familiarity with dbt, LightDash, or similar semantic/BI layers. Experience designing semantic or metric layers consumed by both analytics and production systems. Experience working in cross-functional teams spanning commercial, finance and product disciplines. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £93,200 - £139,800 📍Spain: €77,600- €116,400 📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800 📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000) 📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000 📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!

Location: East Coast - USA About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll join Smartcat's evolving GTM Operations team at a pivotal moment — with the flexibility to work broadly across Sales and Customer Operations, using AI as a core part of how you operate, and the room to shape your focus over time based on business needs and your own strengths. You'll report to the Head of Revenue Operations and have real influence over how the GTM organization runs. MISSION Help build, run, and improve the systems and processes that power Smartcat's go-to-market organization — spanning both pre-sale and post-sale motions — using AI as a core part of how you work to accelerate analysis, automate workflows, and improve decision-making across the customer lifecycle. OUTCOMES Partner with GTM teams to solve operational challenges across the customer lifecycle, from lead management and new-business pipeline through handoffs, renewals, and expansion Use AI, automation, and strong systems thinking to simplify workflows, improve team productivity, and reduce manual work Deliver clear reporting, analysis, and insights that improve forecasting, planning, pipeline visibility, and business decisions Support selected systems, process, or commercial initiatives — such as CRM improvements, Deal Desk, territories, data quality, or GTM tooling — based on current priorities Lead cross-functional projects from problem definition through implementation, documentation, adoption, and continuous improvement Help shape the evolving GTM Operations function while developing deeper expertise in the areas that best align with business needs and your strengths HOW YOU'LL RAMP By Day 30: Learn Smartcat's GTM systems, tech stack, and current operational priorities across pre-sale and post-sale motions Meet with GTM leaders and frontline teams to understand existing operational gaps and pain points Get oriented in the CRM and reporting infrastructure you'll be working within By Day 60: Be actively contributing to at least one focused initiative (e.g., CRM improvement, Deal Desk, territories, or data quality) Start identifying and building AI-assisted workflows to reduce manual work on a specific process Be delivering reporting or analysis that GTM leaders are using in planning or forecasting conversations By Day 90: Be leading a cross-functional project independently, from problem definition through implementation and adoption Have a clear point of view on where you can add the most focused, specialized value going forward Be a trusted operational partner to GTM leaders across at least one full stage of the customer lifecycle WHAT YOU'VE ACCOMPLISHED 4-7+ years of experience in Revenue Operations, Sales Operations, Customer Operations, or Business Operations in a B2B SaaS environment Broad experience across both pre-sale and post-sale motions, with working knowledge of several GTM disciplines such as lead and pipeline management, forecasting, territories, Deal Desk, customer handoffs, renewals, or expansion A track record of succeeding in a hands-on, cross-functional operations role and adapting quickly as priorities change Strong practical fluency with generative AI and automation tools — identifying high-value use cases, building AI-assisted workflows, evaluating outputs critically, and helping others adopt new capabilities responsibly Strong CRM expertise, including workflow automation, lifecycle stages, reporting, data quality, and integrations Strong business intelligence and analytical skills, with the ability to turn complex data into clear insights and recommendations Experience working across a modern GTM technology stack (e.g., Chili Piper, ZoomInfo, DealHub, sales engagement, customer success, territory management, or enablement platforms) — expertise in every category isn't expected A builder mindset and comfort moving between analysis, process design, systems, automation, documentation, and hands-on execution Strong problem-solving, prioritization, communication, and stakeholder-management skills Ability to translate business goals into practical operational solutions and carry work from initial analysis through implementation and adoption Experience implementing AI-enabled workflows, GTM systems, or cross-platform automations is a plus Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Seoul, South Korea 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 Join Anthropic's Customer Success team as our first Korea-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Korea, helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and the API. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As the founding CSM in Korea, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Key responsibilities Build trusting, strategic relationships with customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs as the voice of Korean customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as the first in-region CS presence, developing where needed, Korea-specific processes, playbooks, and best practices that account for regional business cultures Preferred qualifications 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and a knack for bringing order to chaos, demonstrating an enthusiastic "roll up your sleeves" mentality and team player mindset Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters Fluency in English and Korean required 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: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases. This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy. You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation. The role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production. You’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market. WHAT YOU’LL DO DEVELOP INDUSTRY AND USE CASE SOLUTIONS - Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities. - Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences. - Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content. - Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need. - Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations. SUPPORT ENTERPRISE GTM MOTIONS - Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions. - Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context. - Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs. - Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams. - Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up. WHAT YOU’LL BRING - You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role. - You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products. - You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.” - You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations. - You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging. - You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement. - You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users. - You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life. - You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve. - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work. NICE TO HAVE - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries. - Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral. - Familiarity with the LLM, agent, or AI application development ecosystem. - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption. WHY JOIN - You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field. - You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control. - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly. Compensation: 140,000 - 195,000K COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA; Seattle, WA 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 Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption for one of our largest accounts in the Tech segment. As a dedicated Enterprise Customer Success Manager you’ll be their strategic partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a global technology leader to actively deploy and adopt AI to reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will provide your customer best practices and guidance to getting the most impact with Claude in a safe, sustainable way while supporting them as their consumption grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the ROI of their investment.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Own the customer operations across their lifecycle, maintaining a structured operational assessment of the account (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Quarterly Business Reviews Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales/Product to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Leverage your deep knowledge of the customer to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses, and quantifying outcomes that build the case for continued and expanded investment Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 8+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, and/or Strategy Consulting Experience working with F10 companies at the exec level — ideally including established tech companies – you understand what it means to lead organization-wide change or adoption programs (multiple functions, thousands of users) for a product that required C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, the software development lifecycle (SDLC), and implementation patterns across a set of diverse stakeholders—from end users to executives You build with AI daily, automating your own workflows with agents, skills, and tooling is second nature, preferred experience with Claude Code Proven track record of driving measurable outcomes inside a single, highly matrixed organization with many business units. You treat customer asks as two-way exchanges: comfortable asking for commitments, references, and access in return, and pushing back on requests that aren't leveraged. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs. 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: $200,000 — $320,000 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: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything they need in their city with the highest level of convenience. At Toters, technology is at the heart of everything we do. Our product teams work every day to build products that make our customers’ lives easier, while our engineering teams continuously develop solutions that make our operations more efficient—helping us serve our customers faster and at the best possible cost. If you are excited to work in a high-growth startup environment and want to be part of a team that is transforming the way customers shop across the Middle East, we would love to hear from you. Role Overview We are looking for a strong Senior Forward Deployed Engineer to act as the bridge between business teams and engineering. The mission of this role is to enable teams across Toters to build products, automate workflows, and solve business problems using our internal AI-powered platform. This role combines software engineering, solution consulting, product thinking, and business enablement. You will work directly with teams across the company to understand their challenges, identify high-impact opportunities, translate them into practical technical solutions, and help teams become increasingly capable of building solutions themselves. You will be responsible for driving platform adoption, identifying and delivering high-value use cases, enabling users, and ensuring that the platform generates measurable business impact. Key Responsibilities Partner with teams across Toters to understand their workflows, pain points, and business challenges. Translate ambiguous business problems into clear product and technical solutions. Rapidly prototype, build, and launch applications, automations, and workflows using the platform. Enable non-technical teams to build solutions themselves through onboarding, training, coaching, and best practices. Act as the technical and solution-consulting bridge between business teams and engineering. Identify and prioritize high-value use cases based on business impact, feasibility, and scalability. Work closely with engineering to surface recurring needs, platform gaps, and opportunities for improvement. Drive adoption and engagement of the platform across different functions and teams. Define and track adoption, engagement, and business-impact metrics. Measure the value generated through outcomes such as productivity gains, cost reduction, process improvement, revenue impact, and improved customer experience. Establish best practices and reusable patterns that help teams build solutions faster and more effectively. Key Qualifications 5+ years of experience in software engineering. Strong product and problem-solving mindset, with the ability to move from an ambiguous problem to a practical solution. Hands-on experience building software products, internal tools, automations, or AI-powered applications. Strong understanding of AI, AI agents, workflow automation, and no-code/low-code application development . Ability to translate complex business needs into simple, scalable technical solutions. Strong communication, consulting, and stakeholder-management skills. Comfortable working directly with both technical and non-technical teams. Strong ownership and ability to work independently in a fast-paced, ambiguous environment. Data-driven mindset, with the ability to define success metrics and measure business impact. Strong ability to prototype quickly, experiment, learn, and iterate based on user feedback. Ability to balance speed of execution with scalability, reliability, and maintainability. What Success Looks Like Success in this role means making product building and problem-solving more accessible across Toters. The goal is not simply to build solutions for teams, but to enable teams to build solutions for themselves, while ensuring that what they create is useful, scalable, and connected to measurable business outcomes. A successful Forward Deployed Engineer will help turn our AI-powered platform into a company-wide capability for solving problems, automating work, and rapidly turning ideas into products.

Location: Dhahran, Saudi Arabia Eram Talent is seeking an experienced Industrial Skills Trainer – Computer to deliver technical training programs and practical learning sessions in computer and technology-related disciplines. The trainer will be responsible for developing and delivering training content, workshops, practical exercises, presentations, and assessments while ensuring effective knowledge transfer and participant engagement. The ideal candidate has 3–5 years of practical experience in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cloud Computing, Cybersecurity, Programming, or related technology areas, along with strong presentation and facilitation skills. Key Responsibilities Develop, prepare, and deliver technical training programs, courses, workshops, and seminars based on organizational training needs and objectives. Deliver engaging technical learning experiences through practical demonstrations, hands-on activities, case studies, and digital learning methods . Develop and deliver training content, practical exercises, presentations, and assessments using appropriate learning technologies, virtual platforms, and digital tools. Explain complex technical concepts clearly to participants with different levels of knowledge and technical backgrounds. Facilitate classroom and practical training sessions while maintaining strong participant engagement and knowledge transfer. Adapt training approaches and learning methods based on participant needs and varying levels of technical understanding. Apply strong organization, time management, problem-solving, classroom management, and adaptability skills when delivering training programs. Address technical challenges and respond effectively to participant requirements during training sessions. Requirements Bachelor’s degree or higher in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or another technology-related field . 3–5 years of practical experience in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cloud Computing, Cybersecurity, Programming, or other relevant technology areas. Strong knowledge and practical experience in one or more relevant technology areas, including IT, AI, Data Science, Cloud Computing, Cybersecurity, or Programming . Excellent presentation, facilitation, communication, and interpersonal skills . Ability to explain complex technical concepts clearly to participants with different levels of knowledge. Proven ability to develop and deliver technical training content, practical exercises, presentations, and assessments . Strong organization, time management, problem-solving, classroom management, and adaptability skills . Relevant industry-recognized technical certifications in AI, Cloud Computing, Data Analytics, Cybersecurity, Programming , or other applicable technology domains are preferred.

Location: India About Flosum Flosum is the only end-to-end platform purpose-built for Salesforce — trusted by Fortune 1000 enterprises, federal agencies, and high-growth organizations around the world. Our five integrated products — DevOps, Security Orchestration, CodeScan, Backup & Archive, and Data Migrator — give enterprises the confidence to accelerate delivery, simplify compliance, and scale Salesforce with precision. Founded in Silicon Valley and proudly self-funded, Flosum operates on a single guiding principle: your success is our success. We’re not optimizing for investor optics. We move fast, build with conviction, and put our customers at the center of every decision. The result is a 4.97-star rating on the Salesforce AppExchange and a customer roster that includes Cargill, Hilton, Cushman & Wakefield, and some of the largest federal agencies in the country. We serve enterprise IT leaders, Salesforce architects, DevOps teams, compliance officers, and government agencies — anyone whose organization depends on Salesforce operating securely, efficiently, and at scale. The Opportunity Flosum is at an inflection point. We have multiple product lines gaining traction across enterprise and mid-market segments, four active go-to-market motions — outbound sales, inbound/marketing-led, channel/partners, and product-led growth — and a lean, high-performing team that moves with urgency. What we need now is the operating infrastructure to match our ambition. We’re hiring a Director of Revenue Operations to be the architect of our revenue engine: the person who transforms disconnected GTM motions into a single, data-driven, capital-efficient machine. This is a builder role — not a maintainer role. You will design systems that don’t yet exist, enforce standards that currently aren’t enforced, and build the reporting infrastructure that makes every decision at Flosum smarter. This role reports directly to the CEO and is the highest-leverage operations hire we will make. You will touch every dollar of pipeline, every GTM motion, and every customer-facing team. What You’ll Own 1. Data, Reporting & Forecasting — Your Primary Mandate Your first 90 days are about establishing truth. Flosum runs on Salesforce, Marketo, and Gong.io. You will audit each, identify where data integrity breaks down, and rebuild the foundation: Design and own the forecasting architecture: weighted pipeline using actual historical conversion rates, forecast categories (Commit, Best Case, Upside), and a weekly cadence that drives ±10% accuracy within two quarters Build a standardized reporting hierarchy from the CEO’s decision-making needs down to frontline dashboards — eliminating the proliferation of reports nobody trusts Implement Salesforce data governance: mandatory stage-exit criteria, validation rules, controlled picklists, and loss-reason capture on every Closed Lost opportunity Segment reporting and forecasting by GTM motion — PLG self-serve revenue behaves differently from enterprise outbound and must be modeled and tracked separately Build and maintain the unit economics dashboard: CAC by motion, CAC payback period, LTV:CAC ratio, Magic Number, NRR/GRR, and S&M efficiency trends 2. Marketing Performance & Marketo Operations You don’t run campaigns — you govern the infrastructure that makes marketing measurable and accountable: Own the full lead lifecycle in Marketo: definitions, entry/exit criteria, and scoring model governance (with separate demographic and behavioral scores calibrated monthly against SQL conversion rates) Own Marketo-Salesforce sync governance: field mapping audits, sync log review, and API consumption monitoring Own multi-touch attribution: first-touch, last-touch, and influence models consistently applied across all four GTM motions Build and enforce speed-to-lead SLAs and SAL acceptance standards; build recycle plays for disqualified leads Monitor and report marketing funnel performance — lead volume, MQL-to-SQL conversion, channel efficiency, and marketing-sourced vs. marketing-influenced pipeline — and escalate anomalies before they show up in quarterly misses 3. Sales Process Governance You are the steward of how Flosum’s revenue actually gets created — not a gatekeeper, but the person who builds the standards: Design and enforce stage definitions with mandatory exit criteria; build deal desk processes for non-standard pricing and terms Own territory design, quota allocation methodology, and annual capacity planning — including ramp rates, hiring timelines, and coverage ratio targets by segment Run the weekly pipeline review cadence with sales leadership: stage conversion anomalies, stale deals, and forecast accuracy Design compensation plans that drive the right behaviors across all four GTM motions — with clear rules of engagement for multi-touch deals where outbound, inbound, PLG, and partner motions converge on the same account 4. Enablement Execution Through Gong.io At Flosum, enablement has historically been about delivery — training sessions, playbooks, messaging. You will own the other half: measurement and execution. After any messaging launch or methodology change, you will: Create Gong AI Trackers for the specific language, frameworks, and discovery questions reps should be using — and build adoption dashboards segmented by rep, team, and region Surface the gap between what was trained and what is actually happening on calls, and work with sales managers to close it with specific, Gong-sourced coaching examples Use Gong deal boards for pipeline inspection: multi-threading health, next-steps coverage, competitor mentions, and conversation-based risk signals layered onto CRM data Build the feedback loop: Enablement trains → Gong measures → RevOps reports gaps → Managers coach with specific call evidence → Enablement iterates. Without this loop, enablement is a cost center. With it, it’s a growth driver. 5. GTM Alignment Across All Four Motions Running outbound, inbound, channel, and PLG simultaneously creates real operational complexity. You will design the systems that prevent chaos: Build account-level ownership rules and real-time routing logic to prevent motion collisions (e.g., SDRs prospecting into accounts already working inbound MQLs, AEs working accounts with active PLG users) Design PQL routing logic with product usage trigger thresholds, account-level checks, and comp plan rules for sales-assisted PLG conversions Build deal registration governance and conflict resolution SLAs for the partner channel Own separate Opportunity Record Types per motion in Salesforce with unified roll-up reporting Run a monthly cross-functional GTM alignment meeting with sales, marketing, CS, and partner leadership — reviewing funnel health per motion and resolving ownership disputes before they fester What This Role Is Not We want to be honest about scope. A great RevOps leader at Flosum will push back when the role is being misused: You will implement an intake process, maintain a visible quarterly roadmap of four to five initiatives, and force trade-off conversations when new requests arrive. You say “not now” to good ideas that aren’t the most important idea. This is not sales operations with a rebrand. You serve the company, not any single department leader. Your loyalty is to revenue truth — even when the forecast is uncomfortable to present. Metrics You’ll Own Pipeline & Forecasting Forecast accuracy (±10% target within two quarters) Pipeline coverage by segment (3× SMB, 4× mid-market, 5× enterprise) Pipeline velocity: (Opportunities × Deal Size × Win Rate) ÷ Cycle Length, targeting +10% improvement QoQ Stage-to-stage conversion rates trended over time Marketing (Marketo) Lead-to-MQL, MQL-to-SQL, SQL-to-Opportunity, and Opportunity-to-Close rates by motion and channel Marketing-sourced and marketing-influenced pipeline (targets: 30–50% sourced, 50–70% influenced) Lead velocity rate (month-over-month qualified lead growth) Speed-to-lead SLA compliance and SAL acceptance rate Sales (Salesforce + Gong) Win rates by segment and motion Quota attainment distribution across the team (healthy target: 70–75% of reps at quota) Average selling price trends and discounting rate Sales cycle length by segment Enablement (Gong) Gong tracker adoption rates for key messaging and methodology by rep, team, and region Talk-to-listen ratios and topic coverage by deal stage Multi-threading indicators per deal stage Unit Economics CAC and CAC payback period by GTM motion LTV:CAC ratio by customer segment (target ≥3:1) Magic Number (Net New ARR × 4 ÷ prior quarter S&M spend; target >1.0) Net Revenue Retention and Gross Revenue Retention S&M as % of revenue (tracking toward 35% as we scale) Requirements What We’re Looking For 5–10+ years in Revenue Operations, Sales Operations, or GTM Operations in a B2B SaaS environment Direct experience operating across multiple GTM motions simultaneously (outbound, inbound, channel, and/or PLG) Hands-on Salesforce configuration experience — you can build Flows, design the data model, and implement validation rules without delegating everything to a developer Marketo (or equivalent marketing automation) operational experience: lifecycle architecture, lead scoring, and Marketo-Salesforce sync governance Gong.io (or equivalent conversation intelligence tool) experience: tracker creation, coaching dashboards, and deal inspection Demonstrated experience building a forecasting methodology from scratch — not just inheriting one Financial modeling comfort: unit economics, capacity planning, quota modeling, and comp plan design Experience at a company with $15M–$75M in ARR; you have built things with your hands, not just directed others to build them Strongly Preferred Experience in the Salesforce ecosystem (ISV, SI, or AppExchange partner) — you understand our buyers, our competitive landscape, and our channel dynamics Experience designing and governing partner/channel ops within a multi-motion GTMmodel SQL proficiency or experience with a BI tool (Tableau, Looker, Sigma, or equivalent) Prior experience designing and administering sales compensation plans The Mindset We’re Hiring For You Are a Builder You ask “Why does this exist, and should we rebuild it?” before touching a tool. You ship minimum viable systems and iterate relentlessly rather than designing perfect architectures that never launch. You Are Company-First Your loyalty is to revenue truth, not to any individual department leader. You present the forecast even when it’s uncomfortable. You push back when requests don’t serve the company’s priorities. You Are a Systems Thinker You see the revenue engine as an interconnected system. Changing lead scoring You Are Cost-Conscious You evaluate every tool, hire, and program through a unit economics lens. You resist “just thresholds ripples into pipeline coverage. Changing stage definitions changes forecast accuracy. You trace causes, not just symptoms add a tool” thinking. Flosum is self-funded and profitable — efficiency isn’t a constraint, it’s a competitive advantage. Benefits Build the Operating System for Flosum’s Next Phase of Growth 🏠 Remote-First 📈 B2B SaaS / ISV 🛠 Salesforce Ecosystem What You'll Get The authority and executive visibility to actually build — reporting directly to the CEO. Competitive base salary + performance-based variable compensation + equity A fully remote-first, global team that moves fast and operates with high trust The chance to build the GTM operating infrastructure of a profitable, self-funded Salesforce ISV with a category-leading product and enterprise customer base Daily exposure to top leaders in Salesforce DevOps and B2B SaaS operations What We Offer Opportunity to shape the digital strategy at a high-growth Salesforce ISV. Collaborative, innovative, and mission-driven culture. Competitive compensation and benefits. Career growth in a fast-scaling company serving global enterprises. Extras (Benefits & Perks) Competitive compensation, incentive structure, and company equity Daily coaching, mentorship, and growth opportunity Be part of a global, mission-driven team Learn from top leaders in Salesforce DevOps and SaaS sales Work on exciting challenges in a rapidly growing industry

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on the critical path Join networking, cluster, and data center teams at design time so topology, routing, and firewall decisions carry our invariants from day one Build visibility into traffic and boundary drift, with detection for exfiltration paths and automated remediation where safe Own the network security evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Minimum Requirements: 8+ years of front line management experience Low ego, high empathy; has built diverse teams and has former reports who would work for them again Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and has made the call to move someone out when coaching didn't work Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on network security engineering in cloud and/or on-prem environments: VPC design, interconnects, private service connectivity, cloud firewall policy, egress control, physical segmentation, and out-of-band/management-plane security Threat modeling and risk assessment for networked systems, with the judgment to tell which controls reduce risk and which just look good on a diagram Secured Kubernetes networking at scale, or worked in high-assurance environments where controls had to be evidenced, not just deployed Preferred Qualifications: Built or rebuilt a hiring loop and held the bar while adding headcount quickly Exposure to large-scale distributed training and what it demands of a network Solved end-to-end networking problems directly with internal users, cloud account teams, and hardware or colo vendors Has taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on at production-network reliability Pragmatic and steady: cares about unblocking research and product as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiar with AI security and safety concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Product Manager , you will own GitLab's Secret Detection offering and the Vulnerability Research function that produces the detection content across security products. Secret Detection is one of the highest-signal, highest-volume security capabilities on the platform. Leaked credentials are the most common initial access vector in real breaches, and as AI agents write, commit, and configure more of the software, the surface area for exposed secrets grows faster than the number of humans watching it. You will own the full loop: detect a secret with high precision, tell the customer whether it is still live, get it revoked, and prevent the next one from ever landing. In parallel, you will own vulnerability research as a product asset rather than a back-office function. The detection rules, advisory data, and malicious package and reference intelligence your team produces are what make GitLab's security scanners worth paying for, and they need to ship on a cadence with measurable quality. This is an outcome-owning role - you will carry adoption, retention, and revenue targets for your area and be expected to explain how your roadmap moves them. Some examples of our projects: Push protection and pre-receive blocking that stops a credential before it reaches a repository, without wrecking developer flow Secret validity checking and automated revocation partnerships with major cloud and SaaS token issuers Detection content pipelines that turn threat research into shipped rules, with precision and recall tracked per rule Intelligence-driven detection of malicious packages, dependencies, and references entering the software supply chain What you'll do Own the business outcomes for Secret Detection and Vulnerability Research, including adoption, expansion, competitive win rate, and revenue contribution. Bring a point of view on packaging and pricing, not just features. Set the strategy for the full secret lifecycle: prevention, detection, validation, revocation, and reporting across GitLab.com, Dedicated, and Self-Managed. Treat detection content as a product. Define how rules, advisories, and intelligence feeds are sourced, validated, versioned, and measured, and make quality visible to customers. Hold the line on detection quality. False positives are a product defect and you will own the metrics that prove precision is improving. Work at the level of the technology. Read the rule syntax, question the entropy heuristics, understand why a scanner missed something, and challenge engineering with informed alternatives. Use AI to compress the distance between question and answer. Pull your own data, prototype your own flows, synthesize research and competitive input yourself, and bring conclusions rather than requests for someone else to investigate. Build the case for where AI belongs in the product: triage, rule generation, remediation guidance, and reducing the human review burden per finding. Partner with engineering, security research, threat intelligence, Field, and GitLab's own Security team, who are one of your most demanding users. Communicate in writing, asynchronously, with enough precision that a distributed team can act without a meeting. What you'll bring Domain depth in application security, vulnerability management, or security research. You have worked on or adjacent to scanners, detection content, threat intelligence, or SDLC security tooling and you know how these products actually get evaluated in a bake-off. Technical credibility sufficient to earn the respect of a security engineering team. You do not need to have written the scanner, but you should be able to reason about detection logic, data pipelines, CI integration, and the tradeoffs between coverage and noise. Commercial reasoning. You start from revenue mechanics, buyer motion, and competitive displacement, then work inward to product decisions. Candidates who reason only from feature lists outward are not a fit. Evidence of using AI as a force multiplier in your own work: research, analysis, data pulls, prototyping, drafting. Consuming a chat assistant occasionally is not the same as restructuring how you work. Judgment under ambiguity. You bring structured options and a recommendation instead of escalating an open question. Bias for clarity. You can take a noisy, technical, politically contested problem and produce one page that everyone can align on. Bonus: hands-on background as a developer, security engineer, red teamer, or researcher; experience with credential and token ecosystems; experience commercializing a data or intelligence asset. About the team This role sits in GitLab's Security product management organization, which owns application security testing, vulnerability management, supply chain security, secrets management, and AI governance. The Security Section is central to GitLab's Ultimate tier and to the shift toward consumption-based product revenue, so the work is visible to senior leadership and directly tied to company results. You will work asynchronously with engineering, design, and research counterparts across multiple regions, and with the Field teams who take this to market. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Roslyn Heights, New York 📍 Location: Roslyn Heights, NY 🕒 Schedule: Monday to Thursday, 4:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Roslyn Heights. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required ✅ Experience working with children is required ✅ High school diploma or GED ✅ Professional, dependable, patient, and caring What we offer 💰 Pay: $25–$30 per hour (based on experience) 🕒 Consistent part-time hours 💙 Meaningful one-on-one work in a home setting 📩 Apply today to be considered.

Location: Ridge, New York 📍 Location: Ridge, NY 🕒 Schedule: Monday, Tuesday, Thursday, and Friday, 4:00 PM to 6:00 PM About the role LBAPS is seeking a female Registered Behavior Technician (RBT) for a case in Ridge. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female RBT required ✅ Experience working with children required ✅ Patient, compassionate, and reliable ✅ ABA experience is a plus What we offer 💰 $25–$30 per hour, based on experience 🕒 Monday, Tuesday, Thursday, and Friday, 4:00 PM to 6:00 PM 💙 A rewarding position where you can make an impact 📩 Apply today to be considered.

Location: Ontario, CAN 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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role As a Forward Deployed Engineer at Tailscale, you’ll be the bridge between our technical capabilities and the needs of our most strategic customers. You will work directly with customers to ensure their success with Tailscale’s products, helping them get onboarded, driving their long-term adoption, and providing expert technical guidance throughout their journey. This role requires a combination of technical proficiency, problem-solving skills, and an empathetic customer-centric approach to ensure customers are fully empowered to leverage the power of Tailscale. The role will report directly to the Team Lead, Customer Success Engineers. Key Responsibilities Design and build novel solutions to complex customer challenges that fall outside Tailscale’s standard deployment patterns (e.g., prototyping custom integrations, tooling, and network architecture; using structured experimentation and testing to validate solutions for bespoke client uses) Turn one-off customer solutions into repeatable, reusable assets such as reference architectures, deployment frameworks, and tooling, that can be applied across the broader customer base. Lead and manage the onboarding process for new strategic customers, ensuring they quickly understand and adopt Tailscale. Provide training and resources that set customers up for long-term success. Offer technical support for customers, diagnosing and resolving issues across Tailscale's platform. Assist with configuration, integration, and troubleshooting to ensure smooth implementation. Conduct QBRs with customers to review usage, success metrics, and future goals. Use these touchpoints to identify opportunities for deeper engagement and horizontal expansion. Build strong relationships with customers, acting as a trusted advisor. Help customers optimize their use of Tailscale by identifying best practices, and by providing recommendations based on their specific use cases and desired business outcomes. Serve as the voice of the customer internally, relaying feedback and insights to the product and engineering teams to help improve the product and the customer experience. Work closely with sales, product, engineering, and support teams to ensure smooth handoffs, escalate critical issues, and drive customer success across the organization. Develop and maintain a repository of technical documentation, FAQs, and guides to help customers self-serve. Share insights and best practices with both the customer and internal teams. What We Are Looking For 6+ Years in a technical role with minimum 2 years of customer-facing experience (Solutions engineer/architect, Sr. Support Engineer, etc.) Experience working with enterprise customers in a consultative capacity Strong understanding of networking, VPNs, and security principles. Experience with cloud infrastructure (AWS, GCP, Azure) and tools like Docker, Kubernetes, and other DevOps technologies Prior experience in a customer-facing technical role such as Technical Support Engineer, Solutions Engineer/architect, or Customer Success Engineer at a SaaS company Ability to clearly explain complex technical concepts to a diverse audience, from non-technical stakeholders to engineers. Strong written and verbal communication skills are a must Analytical mindset and troubleshooting skills, with the ability to think critically and methodically to resolve complex technical issues A passion for delivering excellent customer service and a strong focus on building long-term customer relationships Ability to manage multiple customer accounts, prioritize tasks, and keep projects on track. Strong time management and organizational skills are key A collaborative mindset and ability to work cross-functionally with product, sales, and engineering teams to deliver customer success As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. CAN Pay Range (OTE) $201,000 — $335,000 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role As a Forward Deployed Engineer at Tailscale, you’ll be the bridge between our technical capabilities and the needs of our most strategic customers. You will work directly with customers to ensure their success with Tailscale’s products, helping them get onboarded, driving their long-term adoption, and providing expert technical guidance throughout their journey. This role requires a combination of technical proficiency, problem-solving skills, and an empathetic customer-centric approach to ensure customers are fully empowered to leverage the power of Tailscale. The role will report directly to the Team Lead, Customer Success Engineers. Key Responsibilities Design and build novel solutions to complex customer challenges that fall outside Tailscale’s standard deployment patterns (e.g., prototyping custom integrations, tooling, and network architecture; using structured experimentation and testing to validate solutions for bespoke client uses) Turn one-off customer solutions into repeatable, reusable assets such as reference architectures, deployment frameworks, and tooling, that can be applied across the broader customer base. Lead and manage the onboarding process for new strategic customers, ensuring they quickly understand and adopt Tailscale. Provide training and resources that set customers up for long-term success. Offer technical support for customers, diagnosing and resolving issues across Tailscale's platform. Assist with configuration, integration, and troubleshooting to ensure smooth implementation. Conduct QBRs with customers to review usage, success metrics, and future goals. Use these touchpoints to identify opportunities for deeper engagement and horizontal expansion. Build strong relationships with customers, acting as a trusted advisor. Help customers optimize their use of Tailscale by identifying best practices, and by providing recommendations based on their specific use cases and desired business outcomes. Serve as the voice of the customer internally, relaying feedback and insights to the product and engineering teams to help improve the product and the customer experience. Work closely with sales, product, engineering, and support teams to ensure smooth handoffs, escalate critical issues, and drive customer success across the organization. Develop and maintain a repository of technical documentation, FAQs, and guides to help customers self-serve. Share insights and best practices with both the customer and internal teams. What We Are Looking For 6+ Years in a technical role with minimum 2 years of customer-facing experience (Solutions engineer/architect, Sr. Support Engineer, etc.) Experience working with enterprise customers in a consultative capacity Strong understanding of networking, VPNs, and security principles. Experience with cloud infrastructure (AWS, GCP, Azure) and tools like Docker, Kubernetes, and other DevOps technologies Prior experience in a customer-facing technical role such as Technical Support Engineer, Solutions Engineer/architect, or Customer Success Engineer at a SaaS company Ability to clearly explain complex technical concepts to a diverse audience, from non-technical stakeholders to engineers. Strong written and verbal communication skills are a must Analytical mindset and troubleshooting skills, with the ability to think critically and methodically to resolve complex technical issues A passion for delivering excellent customer service and a strong focus on building long-term customer relationships Ability to manage multiple customer accounts, prioritize tasks, and keep projects on track. Strong time management and organizational skills are key A collaborative mindset and ability to work cross-functionally with product, sales, and engineering teams to deliver customer success As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $150,000 — $250,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Paris, France 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. À propos d’Anthropic La mission d’Anthropic est de créer des systèmes d’IA fiables, interprétables et orientables. Nous voulons que l'IA soit sûre et bénéfique pour nos utilisateurs et pour la société dans son ensemble. Notre équipe est composée de chercheurs, d'ingénieurs, d'experts politiques et de chefs d'entreprise engagés qui travaillent ensemble pour créer des systèmes d'IA bénéfiques. À propos du poste En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme. Responsabilités: Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes. Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions. Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires. Profil recherché: Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc. Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes L'amour de l'enseignement, du mentorat et de la réussite des autres Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs. 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 As an Applied AI Architect on the Partnerships team at Anthropic, you will be a pre-sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: €190.000 — €220.000 EUR 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.