Job Category
Sales
Responsibilities
- Lead pre‑sales technical design by analysing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks.
- Shape best practices around generative AI, agent interoperability, prompt engineering, Data 360, and cross‑platform integrations.
- Collaborate with AEs and SEs to build hands‑on prototypes and demos using Agentforce and integrated external agents.
- Develop thought leadership content — demo templates, whitepapers, enablement sessions — focused on agent lifecycle, integration strategy, technical effectiveness and latest innovation trends.
- Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization.
- Understand Agent Interoperability: map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate.
- Enable Conversational & Background Agents: use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs.
- Drive Prompt Engineering & Lifecycle Strategy: lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement.
- Build Hands‑On Demos & Prototypes – co‑create quick prototypes (<2 weeks) with AEs demonstrating integration between Agentforce and external agents or services.
- Lead Pre‑Sales Workshops – facilitate whiteboard sessions, deep‑dive sessions, and quick enablement for customers and internal teams.
- Advise on Data & Integration: integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies.
- Support Early Adoption: occasionally assist in proof‑of‑value engagements post‑sale by tuning agents and guiding customers toward self‑sufficient enablement.
- Own Technical Architecture Decisions: oversee data modelling, identity resolution, real‑time vs. batch patterns, data graph design, and activation strategies within D360.
- Own Technical Enablement: create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently.
Required Qualifications
- 7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
- Hands‑on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.
- Strong understanding of external agent ecosystems and interoperability.
- Experience in prompt engineering, agent lifecycle management, and hands‑on prototype development.
- Experience with machine learning concepts (predictive and generative AI) and ability to communicate value to diverse audiences.
- Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).
- Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks such as pandas or Jupyter.
- Strong presentation skills and ability to explain complex ideas and guide stakeholders toward impactful solutions.
- Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting‑edge technologies.
Preferred Qualifications
- Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).
- Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices.
- Background in cross‑platform integrations (e.g., hyperscaler SDKs to Salesforce Flows).
- Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services.
- Experience with AI/ML frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms such as Google Vertex AI or AWS SageMaker.
- BS in Computer Science, Engineering, Data Science, or equivalent technical field.
Benefits
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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.
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We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role.
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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