[Remote] Pre-Sales Data and AI Architect - Solution Engineering (United States)

Note: The job is a remote job and is open to candidates in USA. Salesforce is the #1 AI CRM, where ambition meets action and innovation is a way of life. The Pre-Sales Data and AI Architect is responsible for designing and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360, working with customer architects and data engineers to create scalable solutions that integrate into complex enterprise ecosystems.

Responsibilities

• Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in-person and virtual engagements
• Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems)
• Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360
• Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities
• Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate D360 adoption
• Define repeatable industry-specific reference architectures built on D360 that scale across accounts and drive consistent outcomes
• Collaborate deeply with Salesforce Product & Engineering teams to:
• Influence roadmap through high-signal Voice of the Customer feedback
• Validate architectural patterns against upcoming D360 capabilities
• Act as a technical authority during escalations, architecture reviews, and executive-level design discussions
• Produce high-fidelity technical assets (architecture diagrams, Demos, governance models, activation patterns) used by field teams, partners, and customers
• Serve as a trusted technical advisor to customer Chief Data Officers, Enterprise Architects, and Platform Owners
• Ensure D360 architectures align to security, privacy, compliance, and trust requirements—especially in regulated industries
• Represent Salesforce’s technical point of view for modern data and AI architectures, with D360 as the system of activation, at customer briefings and technical forums

Skills

• 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments
• Strong background in data engineering, platform architecture, or technical architecture roles (pre-sales or post-sales)
• BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred)
• Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes
• Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
• Deep expertise in data ingestion patterns (batch, streaming, CDC)
• Deep expertise in identity resolution, data modeling, and graph-based relationships
• Hands-on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter)
• Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services
• Experience guiding architectural conversations with senior technical stakeholders and influencing platform and data strategy decisions
• Ability to translate complex technical concepts into clear architectural guidance for both technical and executive audiences
• Experience operating in large, matrixed organizations with complex stakeholder environments

Benefits

• Certain roles may be eligible for incentive compensation, equity, and benefits.
• Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Company Overview

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