Business Systems Engineer

Thumbtack
88d$125,200 - $190,600

About The Position

As a Business Systems Engineer at Thumbtack, you’ll play a key role in maintaining and evolving the tools and applications that help our Sales and Service teams bring the Thumbtack vision to life. You’ll collaborate with other engineers, product managers, end users, and operations leaders to execute a broad range of projects; everything from backend architecture for partner deals to optimizing conversation routing in our AI Tools. This role is perfect for someone who’s energized by ambiguity, eager to build experiments and pilots, and excited to drive measurable impact through thoughtful Salesforce design and process innovation. You’ll be part of a team that values fast, iterative execution but without sacrificing quality or clarity.

Requirements

  • Ability to write basic scripts (e.g. Python, Javascript, shell) for automating backend processes and manipulating data.
  • Strong knowledge of SQL with intimate ability to understand data flows.
  • Working knowledge of integration concepts like APIs, webhooks, event-driven integration architecture, and authentication frameworks (e.g. OAuth).
  • Hands-on experience using a middleware platform (e.g., Workato, MuleSoft) to manage connections between applications.
  • An understanding of what it means to build high-quality, maintainable, scalable tools or applications.
  • Strong troubleshooting and diagnostic skills, with the ability to systematically identify and resolve complex issues.

Nice To Haves

  • Experience in Salesforce and Genesys Cloud CX.
  • Familiarity with Pardot, Workato, Ironclad, Datagroomr, Observe.AI, and conversational AI platforms.

Responsibilities

  • Collaborate cross-functionally to gather requirements, refine solutions, and deliver high-quality technical outcomes.
  • Ensure integrations follow best practices for security, scalability, and maintainability.
  • Design, build, and maintain integrations between platforms, including Salesforce, BigQuery Genesys and other enterprise tools.
  • Build and launch pilots or MVPs in fast-moving environments where requirements may still be forming.
  • Partner with teams like Business Operations, Product, Data Engineering, and Data Science to translate business needs into scalable, measurable solutions.
  • Administer, support, and extend integrations across a broad and growing tech stack.
  • Collaborate with Product and Engineering on backend systems and integrations to automate business workflows and enable AI powered automation.
  • Drive best practices around data hygiene, user access, and documentation.

Benefits

  • Remote work flexibility
  • Diversity and inclusion initiatives
  • Reasonable accommodation for individuals with disabilities
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