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SOPHiA GENETICS

Cloud-based AI platform for genomic analytics

Systems Manager - Salesforce & AI-Driven GTM Engineering

Enterprise ApplicationsPosted on Nov 11
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on Salesforce development, systems architecture, or go-to-market engineering experience, designing and shipping solutions using Apex, Lightning Web Components, Flows, and APIs.
  • Deep knowledge of Sales Cloud and Salesforce CPQ, including complex rules and approvals, and how CRM/CPQ decisions affect billing, invoicing, and finance.
  • Experience using AI coding tools across the development lifecycle and deploying large language models and automation to solve internal business problems.
  • Ability to diagnose commercial workflow problems, challenge requirements, and explain technical trade-offs while combining business partnership with hands-on delivery and rapid learning.
  • A track record of measurable improvements in automation, efficiency, data quality, and reliability, balancing business needs with delivery and ownership costs.

Responsibilities

  • Act as technical product owner, architect, and builder for Salesforce and commercial systems supporting Sales, Marketing, Customer Success, and Customer Support; design systems and write code.
  • Build Salesforce solutions using Apex, Lightning Web Components, SOQL, and Flows, with configuration across Sales Cloud, CPQ, and Marketing Cloud.
  • Own integrations and end-to-end data architecture connecting 6sense, Salesforce Marketing Cloud, Clari, Salesforce CPQ, Sales Cloud, and support workflows with downstream finance and ERP systems for bookings and revenue recognition.
  • Support Opportunity-to-Order transformation by re-engineering CPQ, contract lifecycle management, approvals, and ERP integration.
  • Partner with Sales, Marketing, Support, Deal Desk, and Finance to simplify processes, including signal-based lead routing and hybrid subscription- and consumption-based quoting.
  • Use AI coding tools to write, test, review, and ship code; apply large language models and automation to internal business problems while maintaining release discipline, automated testing, and SOX controls.
  • Evaluate emerging AI tools for sales and marketing use cases, including market research and search engine optimization.
  • Improve Salesforce utilization and total cost of ownership by optimizing systems and reducing reliance on expensive external delivery.
  • Assess suppliers, proposed products, and platform changes for technical suitability and business value.
  • Drive adoption of built tools and measure their impact on seller, marketer, and support velocity, automation, data quality, and system reliability.
  • Communicate technical trade-offs clearly and advise stakeholders rather than simply implementing requests.
  • Spend approximately half of the role on engineering and systems/integration architecture, and the other half on business partnering, process analysis and simplification, master data management, and collaboration with analysts and commercial team leads.

Desired Qualifications

  • Experience with Marketing Cloud, 6sense, Clari, ERP integrations, consumption-based pricing, or SOX/ITGC controls.
  • Salesforce certifications.
  • Experience in HealthTech, Life Sciences, or another regulated environment.
  • Claude Code experience is preferred; Cursor or Copilot experience is also relevant.

About the Company

SOPHiA GENETICS

Cloud-based AI platform for genomic analytics

Sophia Genetics provides a cloud-based platform called SOPHiA DDM that uses AI and machine learning to analyze digital health data, especially genomic profiles, for healthcare providers, researchers, and pharma companies. It standardizes, computes, and analyzes multimodal data to support diagnosis, therapy selection, analysis, and drug development. Customers own their data and can share insights through the platform, contributing to collective intelligence. The platform is charged on a subscription or access basis, creating a global data-driven medicine ecosystem. The company differentiates itself by enabling data ownership for users, facilitating data sharing among institutions, and handling complex multimodal genomic data to drive better patient outcomes.

Company size
501-1,000
Company stage
IPO
Headquarters
Saint-Sulpice, Switzerland
Founded
2011

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