Consumption Lead (Data Cloud & Agentforce)

Salesforce·Workday
SingaporeFull-timePosted Jul 1, 2026
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Job Category

Sales

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.

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 — curious, empathetic, and with 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.



Demonstrated Impact

  • Experience: 7+ years in customer-facing solutioning for Data, Analytics, AI, and CRM.
  • Technical Expertise: Full-stack technical qualifications (CRM, Data Architecture, AI/ML); experience managing C-Level technical relationships.
  • Communication: Ability to drive C-level conversations, facilitate difficult discussions, and handle objections adeptly.
  • Trusted Advisor: Proven success understanding customer motivations and driving business value; experience integrating complex data architectures.
  • Customer Success: Experience in large, complex selling organisations.
  • Industry Knowledge: Deep understanding of industry-specific use cases, data architectures, and integration patterns.
  • Influence & Leadership: Persuasive verbal, written, presentation, and interpersonal skills that influence change in large organisations.
  • Technological Awareness: Staying current with emerging marketing, data-related, and AI technologies.
  • Proactive Attitude: Self-starting; able to handle tasks independently while collaborating remotely.
  • Data Ethics & Privacy: Commitment to data ethics and privacy; ensuring solutions adhere to relevant regulations and best practices.
  • Product Development: Hands-on experience building 0–1 products at startups or large companies.
  • Facilitation: Excellent workshopping and whiteboarding skills.



Primary Responsibilities

  • Develop understanding and knowledge of customer's Salesforce Data Cloud & Agentforce implementation and evangelize its capabilities.
  • Engage with strategic customers to understand their goals, assess capabilities, and provide recommendations to accelerate consumption and achieve business and technology objectives.
  • Drive operational excellence for scalable consumption, ACV growth, and customer success.
  • Guide impactful discovery conversations to unveil nuanced client needs and identify creative solutions through customisation.
  • Guide customers on org strategy, governance, and change management standard processes.
  • 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 current state, target future state with timeline, and an underlying enablement plan.
  • Deliver value and innovation by understanding customers' key business challenges and growth potential.
  • Build and cultivate executive-level relationships with the customer's IT and business leadership, sponsors, and decision makers.
  • Work with the account team and Salesforce Execs to effectively network within accounts from Executive-Level down.
  • Recommend additional Salesforce services and advisory experts when appropriate.
  • Proactively communicate technical product changes, degradations, outages, end of life, and other relevant updates.
  • Collaborate with Salesforce product teams to deeply understand solutions and roadmap; advocate for key features via Voice of the Customer feedback.
  • Collaborate with sales and field engineering teams to accelerate adoption and growth of the Salesforce Data Cloud platform.


Technical Abilities

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

  • Salesforce Smart: Deep technical knowledge of the Salesforce platform (Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds).
  • Martech Stack: 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, BigQuery, Redshift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning).
  • AI & ML Expertise: Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.
  • Curiosity & Continuous Learning: Passion for exploring emerging AI research, frameworks, sharing insights, and experimenting with pioneering technologies. Actively stays up to date on new LLM models and agentic approaches, experimenting with prompt engineering to drive innovation.

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.

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