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Product Adoption
3 weeks ago
Job Category
Data
Job Details
**About Salesforce**
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you’ve come to the right place.**Decision Scientist - Customer Adoption**:
Trust is our #1 value at Salesforce. The Data and Analytics (DnA) team powers that value and propels Salesforce growth through providing trusted data, insights, and artificial intelligence that enables us to make smarter decisions in every dimension. We develop tools for financial forecasting, assessing customer health, uncovering adoption insights, data curation, and more, all designed to support another core value at Salesforce... customer success.
This position is part of the Product Adoption team within the award-winning Customer Success Scorecard team. As a Decision Scientist, you will play a vital role in evolving our product adoption strategies and measuring and demonstrating the value that our product brings to our customers.
- Learn more about our culture: _
Our Story & Core Values: Bringing People together changes everything
Women Leadership: How Salesforce is nurturing women tech leaders of the future
Everyone can be a Trailblazer with Salesforce
Why Bring Your Kids to Work Day is so much more than one day of fun
- Learn more about DnA: _
**Who We Are**
We’re Data and Analytics, a team of more than 300 with expertise in business intelligence, data science, visualization, and data engineering, dedicated to providing trusted data, rigorous analysis, and actionable insights our partners use every day, enabling them to transform and grow Salesforce products, services, and solutions.
We build strong, enduring partnerships with leaders and teams across the company. These relationships develop our understanding of every business we’re engaged with, deepen over time, and enhance our ability to highlight emerging challenges and opportunities. We’re continuously connected to our stakeholder community, so we don’t need time to “get up to speed” when the landscape changes. We move as quickly as the data does.
**How We Work**
The process begins and ends with data. When a new question comes our way, we determine how to access and collect the right information to answer it. Our decision scientists, data scientists, and machine learning engineers identify relevant metrics and variables and build models to further refine our initial answer.
Next, our visualisation engineers create interactive dashboards to bring new insights to the forefront and enable on-demand, self-service exploration. Combining knowledge and expertise across our entire team, we distill key learnings and co-develop action plans with partner teams. Refined strategies are executed, putting these new insights to use. More data streams in, and the wheel keeps turning.
In partnership with stakeholders, Data and Analytics improved the accuracy of sales forecasting across Salesforce with the creation of Einstein Guidance, invented an entirely new way to measure customers’ adoption of Salesforce products called Net Adoption Score (NAS), deepened the company’s engagement with customer feedback through our Net Promoter Score, and developed a suite of interactive dashboards (called ProductIQ) that provide detailed coverage for dozens of trusted metrics across every cloud, market, and customer.
**Success in the Role: What would it look like?**:
As a Decision Scientist, you are
- **A**hands-on analyst**
- You will generate product insights (e.g., performance drivers, retention analysis, behavioral personas) to accelerate business growth. This requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distr ibuting those insights to business leaders.
- You have an experimentation mindset. You are excited about measuring the user experience and iterating through an experimental approach.
- **A strategic thinker**
- You will partner with Senior Leadership (VP+) to understand their busin ess challenges a nd advise on strategic objectives, product direction, roadmaps, growth goals. and retention strategies
- **A**relationship builder**
- You will develop and own the relationships with senior stakeholders, including (but not limited to): Business Leaders, Product Managers, User Researchers, and Customer Success teams
- **A cross-functional partner**
- You will partner with the data engineering team and product engineering team to instrument, acquire, develop, and structure data assets that are critical to measuring the success of our products
- Identify internal and external coll
