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Location: Remote, Germany GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Professional Services, Engagement Manager - - Germany An overview of this role As a Senior Professional Services Engagement Manager focused on Germany, you will play a critical role in driving GitLab’s growth in the region by structuring services engagements that create true partnership and shared success with our customers. You will lead efforts to design, position, and close outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable mission-critical outcomes. Reporting to the Senior Manager of Engagement Management, EMEA, you will work at the intersection of technical solutioning and customer requirements, aligning each engagement to their unique needs and objectives.  In your first year, you will build trusted advisor relationships with technical leaders and partners to help integrate professional services into account strategies from early discovery through successful delivery. This is a unique opportunity to shape large-scale implementations that improve how customers plan, build, secure, and operate software using GitLab. Some examples of our projects Designing and structuring outcome-based professional services engagements that align GitLab capabilities to customers needs Partnering with account executives, solutions architects, and delivery leaders to turn complex DevSecOps transformations into clear, actionable implementation roadmaps and statements of work What you'll do Build trusted advisor relationships with division chiefs, program managers, and technical leaders Conduct discovery sessions with with prospects and Systems Integrators to understand current-state capabilities, requirements and desired business outcomes Design outcome-oriented services proposals that align GitLab capabilities with customer success metrics and objectives Structure engagements and commercial proposals to clear outcomes maintaining flexibility for staff augmentation and packaged offerings when needed Develop custom-scoped SOWs and staffing plans for complex implementations, engaging with technical architects and delivery leadership to ensure deliverability Articulate GitLab's services value proposition, catalog offerings, and implementation methodologies in the context of customer requirements Gain agreement on scope and price while guiding customers through commercial terms, procurement processes, and contracting structures Manage project- and account-level escalations, ensuring rapid resolution and maintaining customer confidence Position consulting, training, success tiers, and additional solutions proactively to ensure successful outcomes and long-term customer retention Facilitate solutioning sessions including implementation roadmapping, enterprise strategy discussions, and executive-level requirements gathering Drive measurable outcomes by structuring services that support customer success metrics, accurately forecasting services bookings, and tracking key performance indicators related to bookings, margin, and attachment to strategic opportunities. Own the engagement lifecycle from initial discovery and pre-sales solutioning through scoping, SOW development, staffing alignment, and transition to delivery, ensuring engagements are deliverable, clearly defined, and outcome-oriented. Influence cross-functional teams by articulating GitLab’s professional services value proposition in the context of federal requirements and compliance frameworks, and by feeding customer insights back into sales, delivery, and practice management. Partner with regional sales and engagement leadership to prioritize and manage services opportunities that support critical deals and strategic initiatives, providing clear recommendations on risk management, negotiation strategies, and commercial structures. Foster a culture of enablement and continuous improvement by training field teams on how to position and sell professional services by sharing trends, feedback, and suggestions that improve go-to-market content and operational processes. What you'll bring Demonstrated progressive experience structuring, scoping, and selling professional services engagements in the region Proven success operating in a pre-sales context, conducting discovery, designing outcome-oriented proposals, and developing custom statements of work (SOWs) and staffing plans for large, complex implementation projects. Solid understanding of software development lifecycle (SDLC), DevOps practices, and cloud transformation initiatives, with the ability to connect technical solutions to mission objectives and measurable business outcomes. Effective communication and interpersonal skills with executive presence, able to build trusted advisor relationships with division chiefs, program managers, contracting stakeholders, and senior technical leaders. Highly developed facilitation, negotiation, and problem-solving skills, including the ability to guide customers through acquisition processes, commercial structures, and risk mitigation strategies. Comfort working cross-functionally with sales, solutions architecture, delivery, and operations teams to align on deal strategy, staffing, and successful execution in a fast-paced environment. Capacity to work autonomously and asynchronously in a fully remote setting, managing multiple complex opportunities while maintaining accurate forecasting and consistent alignment with GitLab values and goals. The Professional Services Engagement Management team at GitLab is dedicated to designing and structuring services engagements that set our customers up for successful, long-term adoption of our DevSecOps platform. We build and manage strategic relationships with customers to understand their goals, surface their services needs, and translate complex transformation initiatives into clear, outcome-oriented engagement plans. Composed of experienced services, consulting, and delivery professionals distributed across multiple regions, we operate asynchronously to support field teams, shape implementation strategies, and guide customers through their services journey. We focus on creating scalable engagement models, fostering open communication with internal stakeholders, and adapting our services offerings to the evolving needs of a rapidly maturing organization and its customers. For more on how our team works, see the Professional Services Engagement Management handbook page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

About Healz.ai Healz.ai is the only AI agent for people with cancer, growing 2-3x MoM and saving lives. Looking for a hands-on Head of User Acquisition. It's an opportunity to work with founders who went 0 to $20M ARR in 12 months three times (TechCrunch) and built 2 SOTA models, for healthcare and for self-driving cars. Investors include ex-Google DeepMind, the CEO of RTP Ventures, Citadel Securities. Oncologists from top-20 cancer hospitals worldwide. The role: Own marketing end-to-end and grow into CMO. Hands-on in the ad account from day one, owning CAC/LTV/payback while scaling Meta budgets $20k+ to $100k+ to $1M+ monthly at target ROAS. What you will do: — Own the metrics: CAC, LTV, payback, ROAS — Start by running the ad accounts yourself — Manage creators, build the creative pipeline, test hundreds of creatives — Hire the team as budgets grow What we are looking for: — You scaled b2c apps from 0 to $100k+ budgets, ideally past $1M — Meta is your main channel. Google Ads only is not a fit — B2C subscription products where the user pays on the website — Proven track record of owning the result, systems thinking — US-market experience; health/wellness a plus — Ambitious to grow with the company Format: Fully remote, independent contractor. Part-time to start, $2,000-3,750/month at ~20 hrs/week (equivalent to $5,500-7,500/month full-time), with the option to go full-time. How to apply: Apply through LinkedIn and answer the screening questions. Have your numbers ready: starting spend, peak monthly spend, channel, and the ROAS or payback target you were held to.

Location: Korea Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive in Korea who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Strong product intuition — able to learn a technical product deeply and clearly articulate its value to customers. Genuine curiosity about Voice GenAI. - A proactive, agile operator who moves fast rather than waiting for leads to come in. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in English and Korean and a deep understanding of the regional and cultural nuances #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Singapore based, we are looking for an experienced Senior Product Manager – AI Risk Strategy to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making. At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems. What You’ll Be Doing Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines. Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems. Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities. Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction. Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms. Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness. Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes. Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation. Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs. Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems. What We Look For In You Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline. 5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields. Strong experience designing transaction risk strategies, fraud detection systems or review platforms. Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies. Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus. Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines. Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains. Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems. Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration. Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes. Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions. Excellent problem-solving skills with a high level of ownership and execution. Fluent in both English and Mandarin to support cross-functional collaboration in a global environment. Nice to Haves Experience in cryptocurrency, fintech, payments, banking or internet risk control. Experience building AI-native products or AI-powered operational systems. Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks. Experience with A/B testing, strategy experimentation and online/offline model evaluation. Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk. Experience working with AI coding assistants or automation tools to improve product development efficiency. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco; New York 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 Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. - Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. - Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. - Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself. - Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships. - Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve. - Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself. - Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk. REQUIREMENTS - Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack - Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems - Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems - Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product - Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership - Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it - Willingness to respond to customers outside regular working hours and participate in an on-call rotation - Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads WHAT YOU'LL BRING We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following: - Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE) - Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads - A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang - The ability to profile and optimize GPU workloads, in training or serving - Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX - Operational depth - running on-call, leading incident response, debugging distributed systems under pressure 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: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Manager, Accounts Receivable & Billing to lead and scale our global billing and AR operations during a period of significant business transformation. This role will be responsible for strengthening billing operations, financial and operational controls, credit review processes, billing data governance, month-end readiness, and team execution across a complex global Order-to-Cash environment. The Senior Manager will play a critical role in preparing the organization for the integration of Fivetran and dbt Labs into a unified operating model, including readiness for the planned February 1, 2027 cutover. This person will partner closely with Order Management, Revenue Accounting, Accounting, GTM Systems, Product, Finance, Deal Desk, Sales Operations, Legal, and Collections to ensure billing data and processes are accurate, scalable, well controlled, and operationally ready for the future state. The role will also lead the support model into the India Center of Excellence, including hiring, onboarding, knowledge transfer, process documentation, and ongoing team development. T his is a hands-on leadership role for someone who can move comfortably between detailed billing and accounting issues and broader process design, controls, automation, systems integration, and team leadership. This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use NetSuite, Salesforce, billing and payment platforms, SQL, Excel, Google Sheets, AI and automation tools, workflow management tools, RPA, APIs, and financial reporting and reconciliation tools. What You’ll Do Lead end-to-end billing operations, including invoice generation, delivery, amendments, credits, corrections, reconciliations, exception management, and customer-specific billing requirements. Design, implement, document, and monitor billing and AR controls, including approval requirements, reconciliations, audit evidence, change controls, and exception-management procedures. Establish and operationalize customer credit review and credit-check processes, including approval thresholds, documentation standards, credit limits, and escalation procedures in partnership with Finance and GTM stakeholders. Lead billing and AR operational readiness for monthly and quarterly close, ensuring activities, reconciliations, adjustments, and supporting schedules are completed accurately and on time. Drive billing-data readiness for the February 1, 2027 NewCo cutover, including data requirements, mapping, validation, reconciliation, testing, controls, exception handling, and operational readiness. Partner with Order Management, GTM Systems, Product, Revenue, and Accounting to identify and resolve upstream data and process issues that create downstream billing errors or manual work. Develop and scale AI-enabled and automated workflows that move recurring billing, reconciliation, and finance activities toward exception-based management while maintaining appropriate controls and auditability. Recruit, onboard, and develop team members within the India Center of Excellence and lead the transition of responsibilities. Create and maintain SOPs, runbooks, process maps, control documentation, testing procedures, close checklists, and training materials that enable consistent execution and reduce key-person dependency. Provide concise leadership reporting on billing health, controls, operational risks, cutover dependencies, unresolved issues, and readiness milestones. Skills We’re Looking For 8+ years of progressive experience in accounts receivable, billing, order-to-cash, accounting operations, revenue operations, or related finance functions, including significant experience in a complex B2B or SaaS environment. 3+ years of direct people-management experience, with demonstrated success building and developing distributed or global teams. Deep understanding of billing operations, month-end close, reconciliations, financial controls, audit requirements, and customer credit-risk processes. Demonstrated experience designing and implementing scalable operational controls, process improvements, and governance frameworks. Strong systems and data capabilities, including experience with ERP and billing platforms such as NetSuite, Salesforce, Zuora, Oracle, SAP, or similar, with advanced Excel/Google Sheets skills and SQL proficiency preferred. Experience leading significant transformation initiatives such as finance-system implementations, process migrations, M&A integration, shared-services transitions, or operating-model redesign. Demonstrated ability to use AI, automation, workflow tools, RPA, APIs, or related technologies to reduce manual work while creating appropriate monitoring, documentation, and human-review controls. Bonus Skills​ Experience integrating billing or finance operations following a merger or acquisition. Experience establishing or expanding an India-based Finance Center of Excellence. Experience working in a SOX or similarly controlled financial environment. Experience with AI-enabled finance workflows, automated reconciliations, or exception-based operating models. #LI-JG1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $172,060 — $215,075 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.   We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs. This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems. You'll help define what an AI-native advertising platform looks like from the ground up. WHAT YOU'LL DO: - Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization. - Develop models that improve ad creative quality, relevance, personalization, and performance at scale. - Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs. - Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases. - Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives. - Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance. - Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving. - Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use. REQUIREMENTS - Deep experience building machine learning systems for advertising. - Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement. - Hands-on experience with LLMs, multimodal models, or generative AI systems. - Strong experience with prompt engineering and model evaluation. - Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches. - Strong software engineering fundamentals and experience shipping production ML systems. - Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system. - High agency. - Working English. NICE TO HAVE - Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform. - Experience with generative video, image, or multimodal models. - Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems. - Experience with large-scale model training, inference optimization, or distributed ML infrastructure. - Experience building AI systems that generate or optimize advertising creative. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual

Location: London, UK; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United Kingdom; Poland; Germany; Romania; Netherlands; Spain Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome). Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions. Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering. Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries. System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center. Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths. Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements Experience: 5+ years of hands-on Salesforce engineering and architecture experience. Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations. Location: Based in Europe with strong alignment with European enterprise hours. Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines. AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications. Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP. Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

Location: Philippines Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. We’re looking for a Graphic Designer who specializes in creating high-performing ad creatives and landing pages for eCommerce brands. This role is focused on leveraging AI tools for static and video generation (not traditional video editing) to produce performance-driven creatives for paid ads and organic content. You should have a strong understanding of what converts — from scroll-stopping ad visuals to high-converting landing pages. Responsibilities: Design high-quality static ad creatives for Meta and Google Ads Create AI-generated video and visual content for paid and organic channels Design and optimize landing pages for eCommerce brands (conversion-focused) Produce engaging organic social content aligned with brand voice Translate performance briefs into high-converting visual executions Create multiple variations of creatives for A/B testing and scaling Stay updated with the latest AI creative tools and trends Requirements Strong experience designing performance-focused ad creatives (Meta & Google) Experience using AI tools for content creation (image + video generation). Experience with tools like Midjourney, Runway, Pika, or similar AI tools Proven experience working with eCommerce brands Ability to design high-converting landing pages Proficient in tools like Figma, Photoshop, or similar Highly creative with strong attention to detail Comfortable working in a fast-paced, performance-driven environment

Location: South Africa; Serbia; Spain; Italy; France; Bulgaria About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Job Summary We are seeking a commercially-minded Performance Ads Manager to drive high-quality lead generation and growth for our clients. In this role, you will be directly responsible for the success of client "open days," ensuring events are fully booked while maintaining efficient acquisition costs. You won't just be pushing buttons in an ad manager; you will act as a strategic partner, constantly analyzing local competition, testing creative boundaries, and optimizing the entire funnel from click to conversion. This is an opportunity for a proactive professional to join a tight-knit team where ownership is valued and your impact is visible every day. Key Responsibilities Manage and scale paid social campaigns to ensure client open days are consistently at full capacity. Maintain and optimize CPL (Cost Per Lead) within agreed-upon target ranges. Monitor and improve the Lead-to-Booking rate through constant funnel analysis. Conduct ongoing competitive research to ensure our clients remain leaders in their local markets. Develop and test new creative concepts in collaboration with content creators. Continuously evolve and A/B test landing pages to maximize conversion performance. Provide detailed monthly reporting, documenting all meaningful optimizations and strategic shifts. Utilize Anytrack for server-side tracking to ensure data accuracy and attribution. Requirements Business Maturity: A high level of professional ownership, clear communication, and the accountability to learn from mistakes and pivot quickly. Creative Strategy: Proven experience developing creative strategies and directing content creators to produce high-performing assets. Agency Experience: A solid understanding of the agency ecosystem and the ability to thrive within a small, collaborative team. Performance Mindset: Deep technical knowledge of paid media platforms and a track record of hitting specific conversion targets. Timezone: Ability to work standard UK business hours. Technical Versatility: A broader understanding of digital marketing to support a small, agile team across various functions. Platform Knowledge: Proficiency with GoHighLevel (CRM) and Basecamp (Project Management). AI & Automation: Experience implementing AI tools intelligently and building automations to increase efficiency. Benefits 🌎 Fully remote work environment 🚀Career growth opportunities within a growing agency 📈 Long-term stability and a supportive team culture 🛠️ Access to modern tracking and automation tools

Location: Dammam, Saudi Arabia The Enterprise Computing & Cloud Architect is responsible for defining and governing the enterprise architecture for computing and infrastructure platforms across on-premises environments, private cloud, public cloud, and High-Performance Computing (HPC) and AI infrastructure. Key Responsibilities Own and maintain the enterprise architecture for computing platforms across on-premises, private cloud, public cloud, HPC, and AI environments. Define enterprise target architectures, reference architectures, technology standards, principles, and design patterns for computing and cloud platforms. Develop and maintain strategic technology roadmaps aligned with business objectives, enterprise architecture strategy, and emerging technology trends. Provide architecture leadership and assurance for major programs, transformation initiatives, and complex technology solutions. Evaluate and recommend infrastructure, cloud, computing, virtualization, containerization, HPC, and AI technologies based on enterprise requirements. Establish architectural principles and standards covering scalability, availability, performance, security, resilience, interoperability, and cost optimization. Ensure alignment between solution architectures and the enterprise architecture, technology standards, and strategic direction. Lead architecture reviews and provide technical governance throughout the solution lifecycle. Assess current-state environments and develop transition architectures and migration strategies toward the target state. Define cloud adoption, hybrid cloud, workload placement, and infrastructure modernization strategies. Collaborate with cybersecurity, data, applications, networking, operations, and other architecture domains to ensure integrated enterprise solutions. Provide architectural guidance for high-performance and AI computing platforms, including compute capacity, acceleration technologies, scalability, and integration requirements. Assess technology risks, technical debt, architectural dependencies, and opportunities for modernization. Required Qualifications & Experience Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related discipline. Master’s degree in a relevant field is preferred. 10+ years of experience in technology, infrastructure, cloud, or enterprise architecture , with significant experience in large-scale enterprise environments. Demonstrated experience designing and governing complex computing and infrastructure platforms. Strong experience across on-premises infrastructure and public/private cloud environments. Experience with HPC and/or AI infrastructure architecture is highly desirable. Strong understanding of cloud architecture, virtualization, containers, compute platforms, storage, networking, and infrastructure automation. Experience developing enterprise architecture standards, reference architectures, technology roadmaps, and governance frameworks. Proven experience providing architectural assurance for major programs and complex technology implementations. Strong understanding of security, resilience, availability, scalability, performance, and infrastructure cost optimization principles. Excellent stakeholder management, communication, analytical, and problem-solving skills. Preferred Certifications Relevant architecture, cloud, or technology certifications such as: TOGAF or equivalent enterprise architecture certification. AWS, Microsoft Azure, or Google Cloud architecture certifications. Relevant VMware, Kubernetes, HPC, AI infrastructure, or other specialist technology certifications. Key Competencies Enterprise & Technology Architecture Cloud & Hybrid Cloud Architecture Computing & Infrastructure Architecture HPC & AI Infrastructure Architecture Governance & Assurance Technology Strategy & Roadmapping Solution Evaluation & Design Technology Risk Management Stakeholder & Vendor Management Strategic Thinking and Innovation

Location: Philadelphia, PA Workplace: Remote 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: - Philadelphia, PA 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 | 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 We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences Contribute to internal tools that help teams author, manage, and publish content at scale Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members Move quickly from concept to working prototype, iterating in close collaboration with the team Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualifications Have solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling, and are comfortable working within a design system Understand CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision Have hands-on experience with headless CMS platforms and can navigate content modeling, structured data workflows, and the operational side of keeping a large site running Have built internal tools or contributed to workflows that improve how teams work day-to-day, and enjoy that kind of problem-solving Can prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck Communicate clearly with both designers and engineers, and care about shipping work that's both technically sound and visually refined Have a track record of contributing to production web properties at a mid-level scope, and are motivated to grow into owning larger, more complex projects Preferred qualifications Experience with AI-assisted development workflows Interest in generative or programmatic design Familiarity with localization or internationalization 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: 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: Remote, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. #LI-REMOTE #LI-MT2 OTE (On Target Earning) $208,485.63 — $260,607.19 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.