To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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, driving innovation, and keeping Salesforce's core values at the heart of it all. 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. As the RVP, Agentic Customer Success Leader, you sit at the critical intersection of Product Engineering and Customer Outcomes. You are the strategic architect of Value Engineering, moving beyond implementation to ensure deep, operationalized adoption. You are not just supporting a product; you are building the global blueprint for how our most complex customers scale Agentforce. You will orchestrate a global success team within the Product organization to ensure the "AI Flywheel" spins faster, using agent telemetry to drive continuous Value Realization and the internal product roadmap. Your Impact - Build the Global Product Success Function: Define and scale the global "Product Success" framework. Establish the standards for how our internal teams and partners drive high-consequence AI deployments, ensuring a consistent, world-class experience across all regions. - Continuous Value Engineering: Move beyond the "Go-Live." Implement a lifecycle of ongoing value discovery, identifying new high-impact business processes where Agentforce can eliminate friction and compounding ROI. - Architect the Customer Center of Excellence (CoE): Lead C-suite stakeholders in building and nurturing internal CoEs. Train "Agent Champions" and empower customers to independently iterate, govern, and scale their AI footprint. - Ongoing Measurement & Monitoring of Value: Establish the "Value Dashboard" for each enterprise. Define, track, and report on real-time KPIs (e.g., reduction in Cost-per-Interaction, 10x Planner Productivity, or straight-through processing rates) using hard data from the platform. - Data-Driven Governance & Product Telemetry: Act as a "Power User" of our own telemetry. Monitor agent performance, success rates, and friction points. Use these insights to proactively recommend supply chain optimizations to customers and direct feature prioritizations to Engineering. - Ecosystem Orchestration: Guide the enterprise journey by coordinating seamlessly with Salesforce Account Executives, Product Management, Professional Services, and Tier-1 Global SI Partners to ensure a unified, non-siloed customer experience. - Drive Consumption & Product Stickiness: Proactively manage the roadmap for contracted licenses and consumption credits. Your success is measured by the customer’s ability to fully utilize their investment against high-impact, mission-critical processes. - Consultative Expansion: Use your domain expertise to identify "qualified opportunities" where additional AI agents solve business friction. You build the business case that shifts the customer from reactive usage to a proactive, agent-first strategy. - The "Inbound" Voice of the Customer: Act as the ultimate bridge. Translate the operational realities of global supply chains and financial institutions back to Salesforce Product and Engineering to ensure our roadmap solves real-world hurdles before they impact the market. Minimum Requirements - 15+ years of professional experience, with at least 7+ years in Product Management, Customer Success Leadership, or Management Consulting at a "Big 4" or top-tier SaaS firm. - Value Engineering Expertise: Proven ability to build financial models and business cases that quantify the impact of AI; experience in the continuous monitoring of these metrics post-deployment. - Strategic Leadership: Proven track record of leading large-scale digital transformations or standing up global governance frameworks (Steering Committees) for Fortune 500 clients. - Product-Led Growth Mindset: Experience in a product-centric role where you influenced engineering roadmaps based on customer adoption data and telemetry. - Analytical Fluency: Expert ability to interpret platform telemetry and usage data to derive actionable insights. You should be comfortable "talking data" with engineers and "talking value" with CEOs. - Consumption Model Mastery: Deep experience managing consumption-based P&Ls or accounts, focusing on driving utilization through high-value activity rather than just seat sales. - AI/LLM Fluency: A sophisticated understanding of AI/LLM logic and the ability to translate technical "agentic" capabilities into tangible business outcomes. - Executive Presence: Exceptional ability to present complex AI outcomes to C-suite executives, shifting the narrative from "features" to "enterprise value." Preferred Requirements - Deep Domain Expertise: Significant experience navigating complex business processes within Supply Chain/Manufacturing (ERP, MRP, Logistics) or Financial Services (Banking, Regulatory/Compliance, Wealth Management). - Systems Architecture Familiarity: Experience navigating complex enterprise ecosystems (SAP, Oracle, TMS) and understanding how AI integrates with legacy back-office workflows. - Salesforce Ecosystem Mastery: High proficiency with Data Cloud, Agentforce, or Slack-based workflow automations. - Global Team Building: Experience hiring and mentoring high-performing, technical success teams across multiple time zones. *LI-Y 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. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement 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. 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. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $191,100 - $320,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $228,600 - $348,600 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption. How you’ll make an impact - Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction. - Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. - Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services. - Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. - Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate. - Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts. - Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers. - Document and share the adoption status and key information to inform internal forecasting and renewal. - Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. - When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. - Stay current on Dataiku’s products, competitive landscape, and data science trends. - Willingness to travel up to 25%. What you’ll need to be successful - Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field. - Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction. - Strong written and oral presentation skills, capable of engaging both business and technical stakeholders. - Strong technical, analytical, and problem-solving skills. - Experience in building and operating communities of practice. - Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes. - Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users - Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required). - Preferably located within the Northeast region of the United States. What will make you stand out - Never-ending intellectual curiosity, detail-oriented, and analytical. - Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL - Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership. - Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers. - Experience in Analytics/AI or other enterprise software (preferred but not required). Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges $144,000—$152,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Role Description Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption. How you’ll make an impact: - Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction. - Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. - Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services. - Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. - Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate. - Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts. - Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers. - Document and share the adoption status and key information to inform internal forecasting and renewal. - Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. - When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. - Stay current on Dataiku’s products, competitive landscape, and data science trends. - Willingness to travel up to 25%. Qualifications - Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field. - Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction. - Strong written and oral presentation skills, capable of engaging both business and technical stakeholders. - Strong technical, analytical, and problem-solving skills. - Experience in building and operating communities of practice. - Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes. - Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users. - Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required). - Preferably located within the Northeast region of the United States. Requirements - Never-ending intellectual curiosity, detail-oriented, and analytical. - Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL. - Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership. - Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers. - Experience in Analytics/AI or other enterprise software (preferred but not required). Benefits - The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. - Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. - Dataiku offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. - Dataiku reserves the right to amend or modify employee perks and benefits at any time. - US only national base pay ranges: $144,000 — $152,000 USD.