Target Setting and Data Modeling Manager

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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.

Role Overview

We are seeking a Manager of Target Setting within our Customer Success organization to manage and execute the framework for setting customer-centric goals. This is a critical role responsible for translating Salesforce's strategic objectives into meaningful, measurable targets. You will partner with stakeholders across Customer Success, Product, and Operations to build world-class goal-setting models that promotes customer health and long-term value. Success in this role requires a deep expertise in statistical modeling, data analytics, and SaaS metrics.

Key Responsibilities

• Design, build, and maintain the core analytical models that inform goal setting, using factors like customer segmentation, product usage data, and health scores.

• Develop and manage forecasting models to predict future performance against key goals, running deep-dive analyses to identify opportunities and mitigate risks.

• Manage the end-to-end technical process for setting and tracking Customer Success performance targets, ensuring data integrity and model accuracy.

• Monitor performance against goals and translate complex model outputs into actionable narratives and dashboards for senior leadership.

• Partner with Data Science, Product, and Analytics teams to integrate new data sources and continuously improve the technical framework of the goal-setting process.

Qualifications & Experience

• 6+ years in a highly analytical role such as Data Analytics, Business Operations, or Data Science, with a track record of developing performance frameworks and predictive models.

• Expert-level proficiency in SQL for complex data extraction and manipulation is required. Hands-on experience building statistical and forecasting models in Python or R. Mastery of a data visualization tool like Tableau.

• Proven, hands-on experience developing predictive models from the ground up, with a strong understanding of statistical methods, machine learning concepts (e.g., regression, clustering), and time-series forecasting.

• Experience querying and working with large-scale datasets from enterprise data warehouses and CRM systems (Salesforce).

• Exceptional ability to translate complex quantitative analysis into clear, actionable insights and strategic recommendations for technical and non-technical audiences.

• Strong business acumen with a deep understanding of SaaS business models, customer lifecycle management, and how to connect operational KPIs to financial outcomes.

• Proven ability to manage complex projects, thrive in a fast-paced environment, and manage multiple priorities simultaneously.

• Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively with stakeholders at all levels of the organization.

• High comfort with ambiguity and a proactive, problem-solving mindset.

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.

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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.