Technical Architect, Go-to-Market

About This RoleAI processing…

Key Responsibilities

• 1
  Define how systems connect across the full lifecycle (lead → opportunity → close → onboarding → adoption → renewal → expansion).
• 2
  Structure solutions around core business capabilities to reduce fragmentation and improve reuse.
• 3
  Ensure clean handoffs, consistent data models, and scalable automation across domains.
• 4
  Lead architecture for Salesforce, marketing automation, customer success platforms, and support tooling.
• 5
  Partner with data teams to align system design with the GTM data model and downstream analytics needs.
• 6
  Define how AI is embedded into GTM workflows (agent assist, seller workflows, automation, enrichment).
• 7
  Ensure solutions are practical, governed, and integrated into core systems rather than one-off tools.
• 8
  Design reliable, scalable integrations across internal and third-party systems.
• 9
  Define how systems share data, stay in sync, and interact without conflicts.
• 10
  Set and enforce standards for system design, data quality, and technical implementation.
• 11
  Participate in cross-functional architecture reviews with Enterprise Engineering and domain architects.
• 12
  Evaluate tools and capabilities in the context of the broader ecosystem.
• 13
  Drive consolidation and simplicity where possible.
• 14
  Partner closely with engineering leads to ensure architecture translates cleanly into execution.
• 15
  Mentor engineers and program managers on system design and tradeoffs.

Requirements

• 8+ years of demonstrated success designing and delivering complex, multi-system . architectures within SaaS or comparable environments .
• Deep experience with CRM platforms (Salesforce strongly preferred) and adjacent GTM systems .
• Strong understanding of data modeling, integrations, and system design patterns .
• Experience working across Sales, Marketing, Customer Success, or Support workflows .
• Proven ability to balance speed vs. long-term scalability without over-engineering .
• Comfortable operating in a cross-functional environment with engineering, operations, and business stakeholders.
• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.) .
• Background working in a hybrid PLG + sales-led motion .
• Familiarity with modern data stacks (Databricks, reverse ETL, event-driven architectures) .
• Exposure to CPQ, billing, or commercial systems .
• Experience navigating platform consolidation or large-scale tech stack simplification .
• Prior involvement in architecture governance or cross-org design councils.

Perks & BenefitsTypical for this role