Software Engineer, Sales Systems

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Software Engineer, Sales Systems in USA new

Netic
Full time
Email

USA
10/28/2026
Report

San Francisco, CA

Responsibilities

Own the architecture and technical direction of the GTM stack across Salesforce, billing and finance systems, product data, and the data warehouse.
Set the roadmap with Sales Ops, Deal Desk, and the GTM Data Analyst, deciding what to build, buy, or retire.
Automate lead routing, account routing, territory assignment, approval flows, quote-to-cash, and commission-input workflows.
Build internal tools and AI agents for account research, call preparation, data enrichment, and Salesforce hygiene.
Own reliability, observability, monitoring, and correctness for GTM data pipelines and integrations.
Establish version control, testing, CI/CD, and documentation standards for Salesforce and surrounding services.
Help hire and mentor engineers as the GTM engineering team grows.

Requirements

5–7 years of professional software engineering experience, including senior ownership of production systems.
Experience designing systems end to end and leading projects from scoping through release with little oversight.
Strong Python or TypeScript skills plus SQL.
Deep experience integrating with Salesforce, including REST/Bulk APIs, Apex, Flows, or platform events, or with similar business systems.
Experience with cloud infrastructure such as AWS or GCP, event-driven pipelines, and workflow orchestration.
Ability to translate ambiguous problems from non-technical stakeholders into shipped solutions, with strong ownership and attention to data correctness.
Preferred: experience as the first engineer on an internal tools or business systems team.
Preferred: experience building with LLMs and agent frameworks.
Preferred: experience with NetSuite, Stripe, CPQ, reverse-ETL tools such as Hightouch or Census, or data infrastructure such as dbt, Airflow, or Snowflake.

Netic

We help essential service industries grow on autopilot. Essential services power the real economy. Every one of us interacts with these industries repeatedly throughout our lives. But these large businesses face real-world constraints—human labor, external volatility, compliance, logistics, and p...

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