Job Category

Software Engineering

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.

About the Role

The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. We embed directly with our most strategic customers to validate emerging AI capabilities, harden the platform under real-world conditions, and transform every field insight into repeatable patterns that shape the product roadmap.

Most technical roles ask you to implement what already exists. This role asks you to define what comes next. You'll work with AI features before they're named, solve problems before there are playbooks, and build the artifacts that the rest of the field will use for years. Your work doesn't just help one customer - it hardens the agentic platform for every customer that comes after.

The ideal candidate brings high agency and self-motivation to ambiguous, high-stakes environments. You thrive when there's no established answer, move fast without losing rigor, and treat every customer engagement as a learning opportunity that makes the platform better for everyone. You're endlessly curious, quick to adapt, and energized by problems that haven't been solved yet.

Your Impact

Research & Field Validation
- Deploy and stress-test pilot features with customers, identifying platform gaps and feeding structured findings back to Technology & Product
- Conduct feasibility research on novel use cases - determining what's possible, what's not, and what needs to change in the product to get there
- Co-develop hypotheses with Technology & Product and design experiments to validate them in the field
- Document and escalate critical engineering issues with detailed evidence packages to accelerate resolution
Customer Engagement
- Lead technical engagement of new products and features
- Embed directly with customer teams to deeply understand their operational environment and architect solutions that solve real problems at scale
- Run rapid prototyping and POC cycles to validate technical feasibility
- Serve as the primary technical advisor and escalation point for your customer portfolio
Product Acceleration & Feedback

Required Qualifications

4-6 years of hands-on engagement in enterprise software or SaaS environments, with a strong foundation in Salesforce development.
Exposure to generative AI, RAG, or conversational AI implementations.
Advanced proficiency in Apex, Lightning Web Components, Lightning Flows , JavaScript.
Deep understanding of Salesforce platform architecture including data modeling, security, and sharing frameworks.
Strong understanding of object-oriented programming and software design principles.
Experience implementing DevOps practices including Salesforce DX, Git, and CI/CD pipelines.
Expertise in automated testing frameworks including Apex unit testing and API testing tools.
Proven ability to debug complex, multi-system technical issues.
Deep expertise in Sales Cloud & Service Cloud
Agentforce delivery: Experience in at least 1 Agentforce/AI implementation Project.
Understanding of agent security and guardrails implementation, including role-based access, prompt safety constraints, and data exposure controls.
Experience supporting agent deployment, testing, and release management, including functional testing, grounding validation, and regression testing across environments.
Ability to troubleshoot agent behaviors including hallucinations, grounding gaps, orchestration failures, and integration errors.
Familiarity with monitoring agent performance, refining prompts, and optimizing response quality based on user feedback and usage analytics.
Strong diagnostic and problem decomposition instincts - able to pinpoint whether a failure is a product bug, a configuration error, or a data issue, even in low-documentation environments
Exceptional written communication skills: able to document builds, failures, and field observations in structured form that Product & Engineering can act on without a follow-up call
Certifications : Salesforce certified Agentforce Specialist, Data 360 Consultant & Platform developer

Preferred Qualifications

Prior experience in an forward deployed engineering, solutions engineering, or embedded technical advisory role
Experience with Salesforce Data 360, Agentforce platform
Deep expertise in enterprise data architecture, security, and integrations, including REST/GraphQL APIs, SaaS platform architecture, and common data integration patterns
Proficiency in one or more programming languages (Python, JavaScript, Apex, or Java)
Experience with product telemetry and observability analysis to identify platform patterns and surface actionable insights
High agency, self-motivation, and agility quotient - you thrive in ambiguous, high-stakes environments, operate without a playbook, and default to experimentation and fast iteration over certainty, treating every challenge as an opportunity to learn and evolve

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, and our AI agents accelerate your impact so you can. 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 .

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 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. 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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