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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.

The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. The Data 360 FDE embeds directly with our most strategic customers to validate emerging Data 360 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 Data 360 features before they're broadly available, solve data architecture problems before there are playbooks, and build the artifacts that the rest of the field will use for years.

Your Impact

Research & Field Validation

• Deploy and stress-test pilot Data 360 features with customers, identifying platform gaps and feeding structured findings back to Technology & Product

• Conduct feasibility research on novel data unification, activation, and AI-grounding use cases

• Co-develop hypotheses with Technology & Product and design field experiments to validate them

• Document and escalate critical engineering issues — including ingestion failures, transform errors, and activation gaps — with detailed evidence packages

• Participate in beta testing programs for new Data 360 features (e.g., Data Kits, BDTs, Activation-Triggered Flows)

Customer Engagement

• Lead technical engagement of new Data 360 products and features with early adopters

• Embed directly with customer teams to architect solutions unifying data across CRM, data lakes (Snowflake, Big Query, AWS S3), and SaaS platforms

• Run rapid prototyping and POC cycles to validate data ingestion, federation, transformation, and activation use cases

• Serve as the primary technical advisor and escalation point for your customer portfolio

• Support customers in building AI-ready data foundations — unified profiles, vector databases for RAG, consent management, and zero-copy integrations

Product Acceleration & Feedback

• Build reusable accelerators, playbooks, and reference architectures that address critical Data 360 product gaps

• Raise Voice of Customer (VoC) inputs and influence Salesforce Idea Contributions (SICs) with structured field evidence

• Partner directly with Product Managers and Engineers to influence roadmap priorities

• Analyze competitive CDP/data platform landscape (Segment, m Particle, Adobe, Informatica) to identify Salesforce's key differentiators

• Produce thought leadership, Knowledge Articles, and enablement content

Field R&D Engagement

• Support the qualifying R&D activities for the Data 360 FDE program — including product gap analysis, experimental use case feasibility, feasibility prototyping, and non-production R&D activities

• Provide structured access to customer data schemas, DLO/DMO designs, and agent configurations to inform future Data 360 product design improvements

• Support feasibility prototyping of emerging Data 360 capabilities — including Data Kits, Batch Data Transforms, Dynamic Retriever Filters, and Notebook AI — under real customer conditions

• Contribute to hardening agentic Data 360 products for enterprise scale by identifying platform gaps with evidence packages for the Product R&D team

• Assist in codifying accelerators, playbooks, and reference architectures to enable scale across Services & Partners

• Participate in beta and pilot programs for incubation-stage Data 360 products selected by Product GMs

Required Qualifications

• 5+ years of hands-on experience in enterprise data platforms, SaaS environments, or Salesforce Professional Services

• Deep expertise in Salesforce Data 360 — including data ingestion, identity resolution, data model, segmentation, and activation

• Strong hands-on experience with Batch Data Transforms (BDTs), calculated insights, and streaming ingestion

• Experience designing and implementing zero-copy integrations with external data platforms (Snowflake, Big Query, AWS)

• Proficiency in SQL, data modeling, and ETL/ELT design patterns

• Understanding of AI grounding — building vector databases, RAG architectures, and unstructured data pipelines for Agentforce

• Experience with Data 360 Activation — segments, activation targets, and triggered flows

• Familiarity with data governance, consent management, GDPR/CCPA compliance frameworks within Data 360

• Strong diagnostic and problem decomposition instincts

• Exceptional written communication skills

• Certifications:

Salesforce Data 360 Consultant, Salesforce Agentforce Specialist, Platform Developer I

• Work Location:

Hybrid

Preferred Qualifications

• Prior experience in a forward deployed engineering, solutions engineering, or embedded technical advisory role

• Experience with multi-cloud delivery — Data 360 + Agentforce + Marketing Cloud

• Experience with data integration platforms such as Mule Soft, Informatica, Talend, or AWS Glue

• Familiarity with industry-specific data models (Financial Services, Manufacturing, Healthcare, Retail etc.)

• High agency, self-motivation, and agility

• Platform Developer II certification a plus

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.

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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.