CRM Systems Architect - Salesforce & AI-Driven Automation

10x Genomics, Inc.

Pleasanton (CA)

Hybrid

USD 180,000 - 243,000

Full time

14 days+

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Benefits offered by this job

Equity grants
Health and retirement benefits
Annual bonus program

Job summary

10x Genomics, Inc. is seeking an outstanding Staff Systems Architect to lead CRM modernization and data infrastructure efforts.

You will partner with Productivity Engineering and commercial teams to deliver scalable solutions that streamline quoting workflows and automate manual processes. You will influence architecture, enable self-service tooling, and ensure Salesforce and Marketo environments meet performance and SLA targets, while exploring AI-enabled capabilities for sales and support.

Qualifications

  • Bachelor’s degree in the field of computer science or information systems.
  • 10 years of experience in system architecture, analysis, design, and development of complex CRM solutions.
  • 7 years of technical experience and project management in a fast-growing technology organization with cloud-based (SaaS) business models.
  • Hands-on experience and architectural knowledge of Salesforce Sales and Service Cloud, CPQ, and Marketo.
  • Familiarity with modern AI capabilities and Large Language Models (LLMs), including practical experience or strong conceptual understanding of how to apply them to CRM platforms (e.g., Salesforce Einstein, generative AI for support).
  • Deep understanding of key sales and support business processes (Lead-to-Order, Quote-to-Contract, Campaign-to-cash, CPQ).
  • Proven track record in process automation, self-service tooling creation, and rationalizing complex quoting/pricebook workflows.

Responsibilities

  • Modernize CRM Architecture: Provide technical oversight to modernize our CRM and commercial data infrastructure, delivering the complex backend architecture required to support new commercial programs, evolving business models, and future tiered service offerings.
  • Accelerate Revenue Velocity: Streamline Account, Opportunity, and Quote workflows while rationalizing pricebook management to reduce quoting friction for Sales and enable scalable pricing practices.
  • Drive Process Automation: Establish Salesforce as the single definitive source of truth by automating manual processes across the sales and customer success lifecycle, eliminating bottlenecks between Sales and Customer Success.
  • Leverage AI Technologies: Explore and integrate AI and Large Language Model (LLM) solutions within our CRM ecosystem to enhance sales productivity, streamline customer support workflows, and unlock advanced data insights.
  • Empower Stakeholders via Self-Service: Build and deliver robust self-service tooling that allows Support and Platform PM teams to handle routine tasks independently, returning engineering bandwidth to strategic initiatives.
  • Strategic Partnership: Collaborate closely with Marketing, Sales, Customer Service, and PE leadership to align IT solutions with major strategic goals, including business scaling and customer onboarding.
  • System Administration & Support: Ensure that production support for the CRM track meets SLA expectations, responding to issues and incidents while providing day-to-day administration and support of key systems like Salesforce, Marketo, etc.
  • Project Leadership: Lead projects from inception through delivery, functioning as a business partner to model, design, and build solutions that improve 10x’s CRM processes.

Education

Bachelor’s degree in computer science or information systems

Tools

Salesforce Sales Cloud
Salesforce Service Cloud
Salesforce CPQ
Marketo
AI / LLM integrations

Job description

10x Genomics, Inc. is seeking an outstanding Staff Systems Architect to lead CRM modernization and data infrastructure efforts.

You will partner with Productivity Engineering and commercial teams to deliver scalable solutions that streamline quoting workflows and automate manual processes. You will influence architecture, enable self-service tooling, and ensure Salesforce and Marketo environments meet performance and SLA targets, while exploring AI-enabled capabilities for sales and support.

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