Consumption Lead, Data Cloud & Agentforce

Job Category

Sales

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. Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Customer 360 Platform.

About the Role

The Consumption Lead, Data Cloud & Agentforce, demonstrates deep business, industry, and product knowledge to partner with customers, guiding them to accelerate Data Cloud & Agentforce consumption and return on investment with Salesforce. This role combines technical and commercial responsibilities. You will drive growth in your assigned customers and use cases by leading stakeholders, managing executive relationships, and creating and implementing consumption plans. Additionally, you will act as the post-sale technical lead for Data Cloud & Agentforce, leveraging your expertise and technical credibility to engage and communicate effectively at all levels within an organization. You will be responsible for developing and implementing technology strategies and providing architectural guidance to ensure Data Cloud and Agentforce integrate seamlessly with customers' existing systems. You will build and nurture positive relationships to help customers progress on their Data Cloud consumption journey, ensuring the platform delivers value. The Consumption Lead works directly with customers that can vary in their market segment, size, solution complexity, and life cycle, all depending on the customer's needs. You are a constant learner. You are curious, empathetic and have a strong bias for action. This is an IC (individual contributor) role.

Your Impact

As a trusted advisor you will successfully influence customer outcomes and accelerate Data Cloud & Agentforce consumption. You will:

• Work across multiple selling teams and internal stakeholders, creating clarity from chaos
• Drive onboarding, enablement, success, go-live, and healthy consumption of Data Cloud & Agentforce workloads
• Leverage account teams, services, customer success, education, and support resources to build and manage tasks beyond your scope of activities or expertise
• Create, own, and execute a point-of-view on how key use cases can be accelerated into production
• Navigate Data Cloud & Agentforce Product and Engineering teams for new product innovations, pilot programs, and upgrade needs
• Provide internal and external updates on KPIs related to usage and customer health, covering important risks, product adoption, and use case progression
• Develop mutual success plans with customers
• Help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Data Cloud workloads

Qualifications

Experience

• 7+ years in customer-facing solutioning for Data, Analytics, AI, and CRM
• Proven success as a trusted advisor, understanding customer motivations and needs to drive business value, and experience integrating complex data architectures
• Experience driving customer success in large, complex selling organizations
• Deep understanding of industry-specific use cases, data architectures, and integration patterns
• Hands-on experience building 0-1 products at startups or large companies

Technical Expertise

• Full-stack technical qualifications (CRM, Data Architecture, AI/ML) and experience managing technical relationships with C-Level executives
• Deep, technical knowledge of the Salesforce platform (Salesforce Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds)
• Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products
• Modern cloud data platforms (Snowflake, Databricks, Big Query, Red Shift)
• Data analytics tools (Tableau, Looker, Power BI)
• Data programming models (Data Frames, pandas)
• AI (Python, R, Jupyter Notebooks, data wrangling, machine learning)

Skills and Attributes

• Ability to drive effective conversations at the C-level, facilitate difficult discussions, and handle objections adeptly
• Persuasive verbal, written, presentation, and interpersonal communication skills that influence change in large organizations
• Staying up-to-date with emerging marketing, data-related, and AI technologies
• A self-starting attitude with the ability to handle tasks independently while collaborating remotely with customers and colleagues
• Commitment to data ethics and privacy, ensuring customer solutions adhere to relevant regulations and best practices in data security and privacy
• Excellent workshopping and whiteboarding skills

Primary Responsibilities

• Develop an understanding and knowledge of customer's Salesforce Data Cloud & Agentforce implementation and evangelize the capabilities of Data Cloud & Agentforce
• Engage with strategic customers to understand their goals, assess their capabilities, and provide recommendations to help them accelerate consumption to achieve their business and technology objectives
• Have a passion for operational excellence that drives scalable consumption, ACV growth, and customer success
• Guide impactful discovery conversations to unveil nuanced client needs and identify creative solutions through customization
• Guide a customer on org strategy, governance, and change management standard processes based on customer needs
• Demonstrate hands-on Data Cloud & Agentforce product knowledge by applying platform features and functions to customer business priorities and roadmap
• Proactively identify risks to the customer achieving their stated business goals and work with the account team to build a risk mitigation plan
• Produce and implement a comprehensive adoption path showing the current state, target future state with timeline, and an underlying enablement Plan
• Deliver value and innovation to a customer's business by understanding our customers' key business challenges and potential for growth
• Build and cultivate executive-level relationships with the customer's IT and business executive leadership, sponsors, and decision makers to solidify our partnership and dedication to the customer business and IT sponsors & collaborator
• Work with the account team and Salesforce Execs to effectively network within accounts from the Executive-Level down, in order to help customers work towards their goals
• When appropriate, recommend additional Salesforce services and advisory experts needed to drive success
• Proactively communicate technical product changes, degradations, outages, end of life, and other relevant updates
• Collaborate with Salesforce product teams to deeply understand Salesforce solutions and roadmap, and advocate for key features needed for success across the Industry/Territory via Voice of the Customer feedback
• Collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Salesforce Data Cloud platform in your accounts

Technical Abilities

As a deep subject matter expert, you will have a rare set of technical proficiencies, including:

• Salesforce Smart: Deep, technical knowledge of the Salesforce platform (Salesforce Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds)
• Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products
• Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, Red Shift), data analytics tools (Tableau, Looker, Power BI), data programming models (Data Frames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning)
• AI & ML Expertise: Experience with machine learning

Note: Please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts and to get the best candidate experience.