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Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $109,000-$159,650. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $120,000-$177,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Boston, MA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 USD 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 Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. 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: 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: Remote - Estonia Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Product Manager, Super Network About the job This position is needed to play a pivotal role in shaping, defining and executing our Twilio’s Super Network Data & Analytics product vision and strategy.  You will collaborate closely with cross-functional teams, including engineering, design, and GTM to bring to life groundbreaking solutions that will shape the future of the global connectivity domain.  You will lead the ideation, development, and launch of high-impact products, while also mentoring and guiding a team of product managers Responsibilities In this role, you’ll: Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap. Partner with cross functional peers to drive product planning, design, execution, and delivery of product investments against defined success metrics. Partner with Industry Relations & Strategic Growth teams on business development opportunities via alliances, partnerships, and marketplaces. Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments. Continuously shape new global data strategies with our GTM team to effectively control and manage a highly volatile environment Cultivating the ecosystem, community, and internal culture surrounding data evolution within Super Network. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Bachelor’s degree in relevant domain; MBA or advanced degree preferred 3+ years of experience in product management, with a focus on communications Proven track record of leading successful product launches and driving product strategies Good analytical skills with the ability to synthesize complex information into actionable insights Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels Use of quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable team, product, and financial performance Initiative, ownership, and accountability to decode vague priorities, manage conflicting tasks and provide the day-to-day blocking and tackling against ambiguous and complex challenges. The ability to collaborate and influence effectively across cross-functional teams. The demeanor and maturity to present complex business and technical concepts, trade offs, and difficulties to internal and external audiences up to C-level executives and to know when and how to assert opposing viewpoints when necessary. Desired: A strong balance of business acumen, technical insight, and user-centered design skills to make the right tradeoffs for optimizing costs, quality, and business value while standing up for your customers’ needs. Strong understanding of the global communications industry, trends, technologies and market dynamics Results-oriented mindset with demonstrated ability to meet or exceed goals Experience with telco supply chain operations Location This role will be remote, and based in Estonia. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation In accordance with local pay transparency requirements, the base salary range for this role is provided below. The  successful candidate’s final compensation will be determined based on permissible, non-discriminatory factors such as skills and experience. Base Salary Range: €46,560.00 - €58,200.00 Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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. 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: Munich, Germany 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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Materials & Industrial A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: €265.000 — €310.000 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. 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.

Задачи: — Владение полным жизненным циклом Cloud Namespace для оператора, использующего Temporal Cloud: понимание потребностей нагрузки, процессы предоставления и управления, определение правильных конфигурационных настроек и политик, обновления на месте и безопасное удаление. — Определение и развитие дифференцированных предложений Namespace (например, с разным SLA, задержкой, надежностью, местоположением и стоимостью), которые понятны и вызывают доверие у клиентов. — Управление пропускной способностью и емкостью Namespace (например, автоскейлинг, TRU, зарезервированная и эластичная емкость, планирование, видимость, лимиты и квоты). — Ведение операционной политики и функций (размещение Namespace в кольцах развертывания, репликация, масштабирование) для обеспечения высокопроизводительного, надежного и экономичного сервиса в масштабах многопользовательской среды. — Определение и владение SLO и SLA Namespace, включая инструментацию и коммуникацию с клиентами по вопросам производительности и надежности. — Владение API и конфигурацией Namespace, используемыми автоматизацией клиентов, UI Temporal Cloud и другими продуктами и сервисами. Требования: — Опыт продуктового лидерства в выпуске и эксплуатации платформенных/инфраструктурных продуктов, особенно с учетом надежности, производительности и компромиссов по стоимости. — Сильное системное мышление: способность переводить потребности нагрузки в уровни, ценообразование, политики, квоты/лимиты и настройки по умолчанию, масштабируемые для многих клиентов. — Умение тесно сотрудничать с инженерами по техническим вопросам, таким как автоскейлинг, планирование емкости, поэтапное развертывание и логика размещения, а также паттерны устойчивости, даже без написания кода. — Опыт определения и управления SLO/SLA и использования метрик для принятия продуктовых решений и приоритизации. — Способность выстраивать согласованность между заинтересованными сторонами (инженеры, Cloud Ops/SRE, поддержка, продажи, решения, безопасность) и принимать четкие решения в условиях неопределенности. — Четкие письменные и устные коммуникационные навыки, включая умение создавать качественные PRD, документы по решениям и объяснения для клиентов. Плюсы: — Опыт работы с многопользовательскими системами, изоляцией нагрузок и смягчением "шумных соседей". — Знакомство с дизайном API для операций жизненного цикла долгоживущих ресурсов и их безопасной эволюции. — Опыт работы с задачами размещения, маршрутизации, резидентности данных или геораспределенной надежности. — Опыт создания ценовых и пакетных предложений для многоуровневых сервисов в сотрудничестве с финансами и GTM. Условия: — Зарплата $185,000 - $260,000 в год, зависит от опыта и местоположения. — Участие в программе акций Temporal. — Пакет льгот в США: неограниченный PTO, 12 праздников + 2 плавающих, медицинская, стоматологическая и офтальмологическая страховка с полной оплатой премий, страхование жизни и инвалидности, пенсионный план 401K. — Дополнительные льготы: обучение и развитие, расходы на образ жизни, оборудование для домашнего офиса, профессиональные членства, питание при работе из дома, интернет-стипендия и др. — Международные льготы варьируются по странам, предоставляются в партнерстве с Remote.com. — Возможны командировки для участия в мероприятиях компании и командных встречах. О компании и команде: Temporal Cloud — это управляемый SaaS-продукт Temporal, используемый клиентами для выполнения рабочих нагрузок с разными требованиями к пропускной способности, задержке, устойчивости, изоляции, резидентности данных и стоимости. Namespace — основная единица изоляции в Temporal Cloud. В этой роли вы будете владеть продуктовой поверхностью Cloud Namespace от начала до конца и сотрудничать с инженерными командами для предоставления клиентских возможностей и формирования внутренних операционных систем для размещения, предоставления, управления емкостью и других функций Namespace. Технологии: Сотрудничество с инженерами по вопросам автоскейлинга, планирования емкости, поэтапного развертывания и логики размещения, а также паттернов устойчивости. Конкретных деталей по кодовой базе не предоставлено, акцент на дизайне и эксплуатации платформенных/инфраструктурных продуктов.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Talent Acquisition Contractor supporting the EMEA People team, you’ll play a key role in fueling our rapid growth by recruiting top talent across different functions (GTM, Corporate, Product, Engineering ...). You’ll join a distributed, collaborative team dedicated to attracting innovative talent while upholding a high standard of candidate experience. This is a hands-on role where you’ll partner closely with hiring managers and stakeholders to fill critical needs, shape the organization’s future, and take ownership from search strategy to candidate close. Ideal for someone who thrives in a dynamic environment and enjoys making an impact. What You Will Do - Own end-to-end recruiting processes, ensuring a seamless and positive candidate journey. - Design and execute search strategies for diverse roles across business and technical teams. - Collaborate with hiring managers to define needs and recommend hiring strategies. - Source, engage, and attract top talent in competitive markets. - Leverage data to identify inefficiencies and drive continuous improvement in recruiting processes. - Proactively solve challenges and refine documentation, tools, and talent intelligence. - Guide candidates through the process, providing insights to support successful closures. - Innovate and improve by contributing ideas that enhance recruiting efficiency and effectiveness. What We're Looking For - Functional experience: Proven track record recruiting across technical and non-technical roles. - Autonomous hiring: Experience owning searches independently in outbound-driven, competitive markets. - Recruitment background: 5+ years of experience in fast-paced, demanding environments. - Adaptability: Ability to shift seamlessly between strategic projects and hands-on execution. - Global mindset: Experience with international recruiting and working in distributed teams. - Relationship-building: Strong ability to influence stakeholders and foster collaboration. - Communication: Fluent English (written and verbal). - Tool proficiency: Familiarity with modern ATS (e.g. Ashby), LinkedIn search, scheduling (e.g. Modernloop), and AI-driven productivity tools is a plus. - Attention to detail, accountability, and a results-driven approach. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York; San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Marketing Technology & Operations Lead who can own and harden the systems layer of Baseten's Marketing engine. Marketing at Baseten is scaling fast — more spend, more campaigns, more model launches, more inbound. The systems underneath (Our ESP, CRMs, forms, tracking, routing, alerting) need an owner who treats them like production infrastructure that cannot go down. When something breaks, it costs us time, pipeline, and trust in the data. This role exists so it doesn't break. You’ll simultaneously build for the future and re-think assumptions about our tech stack in the age of agents. This is an offensive play that gives the rest of the team leverage and superpowers to hit our ambitious goals. This is NOT an IT or service role. This is a core member of the marketing team who implements technology to achieve outcomes. RESPONSIBILITIES - Own the marketing tech stack end-to-end: ad platforms, email systems, tracking, pixels, forms, connectors. - Build defense-in-depth on inbound: spam/bot protection, rate limiting, email/domain validation, sync gating — and the alerting to catch anomalies before they hit sales or leadership dashboards. - Enforce data integrity: UTM governance, campaign membership, lifecycle stages, lead scoring and routing logic, field-level hygiene, canonical metric definitions. - Operationalize the web request pipeline with our dev agency: structured briefs, tickets, SLAs, and launch-day runbooks instead of ad-hoc Slack threads. - Systematize the request intake for marketing ops work — triage, prioritize, automate the repeat offenders instead of hand-servicing them forever. - Partner with RevOps, Data, and Sales to close workflow gaps where revenue data leaks (program tracking, Slack-only approvals, contact-vs-opportunity data). - Build or implement custom solutions as the need arises be they net new capabilities or AI-powered workflows. - Implement your vision for the marketing stack of the future, with a clear POV and roadmap on how to achieve it. REQUIREMENTS - 6+ years in marketing operations at a B2B SaaS or developer-tooling company - Deep, hands-on expertise in MAPs AND Salesforce — field mapping, sync governance, workflows, campaign objects; certifications a plus - Has personally built lead scoring, routing, lifecycle stages, and attribution infrastructure — not just operated someone else's - Has lived through (and fixed) messy data: dedupes, backfills, spam attacks, tracking outages; knows prevention beats cleanup - Comfortable with tag management (GTM), webhooks, APIs, and light scripting/automation (n8n, Zapier, Python, or AI-agent tooling) - Thinks in systems and failure modes: asks "what happens when this breaks at 2am on a launch weekend?" - Familiarity with email infrastructure and deliverability - Obsessive QA instinct — the type who catches the broken UTM before the campaign goes live - Strong stakeholder management across Marketing, Sales, Finance, Data, Design, and external agencies - Moves fast without breaking the data; documents everything BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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 As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals. The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals You may be a good fit if you: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $380,000 — $450,000 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. 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 | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As Senior Staff Product Manager, Device Security, you’ll define the strategy and roadmap for the device security capabilities that help organizations understand, control, and govern access across their environments. You’ll work at the intersection of device health, identity, access management, and Artificial Intelligence (AI), helping customers reduce security risk while building a more unified experience across people, machines, and AI agents. You’ll partner with Engineering, Design, and Go To Market (GTM) teams to turn complex security challenges into products that are clear, useful, and measurable. Reporting to the Director, Product Management – Device Security, this is a remote role open to candidates in the United States or Canada. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: Required qualifications • 8+ years of Product Management experience, including ownership of security, Identity and Access Management (IAM), endpoint, or access-control products. • A track record of defining and delivering roadmaps for complex, cross-functional initiatives in a Business-to-Business (B2B) Software as a Service (SaaS) environment. • Experience contributing to product vision and strategy across multiple engineering teams or product areas. • Strong written communication skills, with experience creating PRDs, PR/FAQs, and other artifacts that align teams and support decision-making. • Experience defining Objectives and Key Results (OKRs), success metrics, and measurement frameworks connected to business outcomes. • The ability to communicate complex security and product concepts clearly with technical and non-technical audiences, including senior customer stakeholders. • A customer-centered approach to prioritization that combines qualitative insight with quantitative data. Preferred qualifications • Experience with endpoint security, device management, zero-trust, least-privilege architectures, or related security technologies. • Familiarity with Mobile Device Management (MDM) or Endpoint Detection and Response (EDR) tools. • Experience working with enterprise administration consoles and IT buyer or administrator personas. • Experience taking AI or machine-learning products from concept to initial launch. • Experience prototyping with AI-enabled developer tools and curiosity about how AI agents operate. • Familiarity with device compliance frameworks, endpoint telemetry platforms, or related security systems. What you can expect: Own and evolve the Device Security product roadmap, partnering with engineering leadership to define priorities and deliver key capabilities. • Shape the role of Device Security within 1Password Unified Access and contribute to cross-company product strategy. • Lead weekly, monthly, and quarterly prioritization, balancing near-term delivery with an 18–24 month product vision. • Represent the customer perspective through discovery, feedback loops, recorded and live demos, and structured product artifacts such as Product Requirements Documents (PRDs) and Product Requirements/FAQs (PR/FAQs). • Collaborate with Product Managers (PMs) across adjacent product areas, as well as Engineering, Design, Sales, Marketing, and Product Marketing. • Establish success metrics that connect customer outcomes and Annual Recurring Revenue (ARR) contribution to product progress. • Engage directly with enterprise customers, including Chief Information Security Officers (CISOs), Vice Presidents of Security, and Information Technology (IT) leaders. • Prototype proof-of-value solutions using AI-enabled developer tools to explore and communicate product ideas. USA-based roles only: The annual base salary for this role is between $203,000 USD and $294,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $178,000 CAD and $258,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Paris, France WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Fluency in English and French. NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €106,000 - €119,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €106,000 - €119,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote - US Overview LaunchDarkly is seeking a creative and experienced Product Manager to lead our end-to-end data products, from SDK data ingest through our data platform to the customer-facing observability, metrics, and experimentation experiences built on top of it. You will own the vision and strategy for this entire pipeline as a coherent product, ensuring the data customers send us is trustworthy, timely, and transformed into experiences that help them ship better software. The ideal candidate has a deep understanding of data infrastructure, observability/analytics, and how customers and their agents consume and work with software delivery data. Responsibilities Define and lead the product vision, strategy, and roadmap for LaunchDarkly's end-to-end data products, spanning SDK event ingestion, our data platform, and customer-facing data products, ensuring alignment with company goals and customer requirements. Own the strategy for AI-powered analysis of our data and the agent experience of our data products: how AI surfaces insights, anomalies, and recommendations from software delivery data, and how our data is modeled, exposed, and made consumable so that AI agents are first-class consumers alongside humans. Own the product strategy, platform definition, and GTM for our data products. Treat the data pipeline as a single product: drive coherence across ingestion, processing, storage, and consumption so that every downstream experience (analytics, experimentation, insights, integrations) is built on a reliable, well-modeled foundation. Collaborate with engineering, design, marketing, and sales teams to deliver high-quality products that meet customer needs. Monitor industry trends and competitor products to stay ahead of the curve. Act as the voice of the customer, ensuring their needs and pain points are addressed in all product decisions. Partner with marketing and cross-functional teams including sales, customer success, and support to define Go-To-Market plans and strategy for data products and features. Mentor and uplevel other product managers, and raise the bar for data-informed product practice across the organization. About you Curious: More than anything, you love learning and are able to build opinions and expertise quickly across many domains. Purpose-driven: The how behind all your projects is driven by a clear definition of why we're solving the problem. Agent-first: You’re obsessive about pushing agents to their limits and often eschew UIs in favor of agent-first interactions. Customer-centric: You are driven to understand customer challenges and needs, crafting solutions that provide real value. Product sense: You love great software and can't stand bad software. You have a strong focus on craft, quality, and the ability to deeply empathize with the end user to deliver delightful experiences. Systems thinker: You see how the pieces connect. You're as comfortable reasoning about an ingestion pipeline's throughput as you are about the dashboard a customer sees, and you understand how decisions at one layer ripple through the others. Collaborative: You excel at working with diverse teams, seamlessly bridging customer stakeholders, ecosystem partners, and product development teams. Effective communicator: You build strong relationships and communicate with clarity and precision. You're an incredible writer who can concisely explain complex ideas in simple ways to a wide variety of audiences. Adaptable: You thrive in fast-paced environments and can effectively prioritize in order to manage multiple projects at once. High agency: You are motivated to achieve success and have a strong sense of ownership to deliver great outcomes across a broad range of responsibilities. Even if it's not your responsibility, if you see something that needs to be done, you make sure it happens. Business acumen: You understand how technical solutions tie to business objectives and can align projects to meet customer and company goals. Qualifications 8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools. Alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset and a desire to transition into a product management role. We will consider candidates with fewer years of experience who demonstrate exceptional potential and excitement to get into the space, or who bring significant hands-on experience with AI-powered data analysis. Proven track record of successfully bringing data products to market and driving strategy across multiple teams or a platform-scale product area. Strong understanding of modern data architectures: event/streaming pipelines, data warehousing and lakehouse patterns, data modeling, and the trade-offs of processing data at scale. Experience with both platform products (where the customer is internal teams or developers) and end-user-facing data products (analytics, observability, insights, experimentation), and an understanding of how the two must work together. Excellent analytical, problem-solving, and decision-making skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with and influence cross-functional teams and senior leadership. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,020* LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Brand team ships a high volume of ambitious creative across product launches, growth, events, customer marketing, and brand awareness. As the work has scaled, so has the need for a strong operating system around it. We're hiring a Director of Brand Operations to build that operating system: the processes, milestones, and cross-functional coordination that let a world-class creative team do its best work and ship fast. This is an operations role focused on how the work gets done; it is not a traditional production-management role. You'll be the operator who protects creatives from organizational swirl, sets clear ways of working, and fixes cross-functional breakdowns upstream so great ideas reach the world quickly. WHAT YOU’LL DO - Own and build the operating system for how Brand's creative gets produced. - Build the brand operating system: the processes, milestones, and ways of working that turn creative direction into shipped work. - Diagnose and fix bottlenecks across functions. Find where work stalls, trace it to the source, and remove the limiting factor wherever it lives. - Protect creatives from org swirl by absorbing cross-functional complexity so the team stays focused on the work. - Automate with AI: use AI to streamline how work flows and cut manual overhead across the operation (intake, triage, status, reporting, handoffs). - Partner with the creative leads so operations and creative are complementary, freeing creative leads to focus on creative. - Be Brand's ambassador to the rest of Ramp: scope incoming work and pull Brand into projects early, at the right time. WHAT YOU NEED - Exceptional organization: you hold 20+ live workstreams and keep everyone on track - A cross-functional root-cause instinct: you can walk into a tangled, multi-team workflow, explain why it's slow, and fix it. This is the most important capability for the role. - A track record of building systems and automation: you've taken an operation from messy to repeatable and use tooling and AI to compress cycle time. - A metrics-driven approach: you instrument delivery so progress is clear and provable. - Hands-on, lean leadership: you lift both the operation and the people in it. - A bias for better ways of working: you remove limiting factors and speed up delivery without adding process for its own sake. - An operator-first profile: we care more about someone who can diagnose and fix how work flows than about a creative, production, or marketing pedigree. Strong candidates come from product ops, biz ops, GTM ops, finance ops, or chief-of-staff backgrounds. NICE TO HAVES - Experience scaling an in-house creative or content studio in a high-growth environment. - Experience building AI-assisted operational workflows. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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 Anthropic is seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught. Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day. You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger. This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders. Responsibilities Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it You may be a good fit if you have 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it A strong eye for quality educational content, with a sense of the complex systems that produce it Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure Experience building and operating platforms that serve many concurrent users reliably Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be Strong candidates may also have Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products Background in or exposure to learning science, instructional design, or educational research Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations Familiarity with building systems that incorporate LLM capabilities as core infrastructure Prior work at a high-growth company where you built platform infrastructure that other teams depended on Experience designing systems that non-technical users configure and operate 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: $320,000 — $405,000 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. 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.