Software Engineer, Sales Systems

Netic • San Francisco, CA

13d

About The Position

Netic is hiring its first engineer dedicated to go-to-market systems. This senior, high-ownership role will establish the architecture and technical direction for systems connecting Salesforce, billing and finance tools, product data, and the data warehouse. The engineer will treat the GTM stack as a product, decide what to build, buy, or retire, and apply an AI-first approach to improve how sales, operations, and finance teams work.

The role includes automating workflows across the sales lifecycle, building internal tools and AI agents, and ensuring GTM data pipelines are reliable, observable, and correct. The engineer will establish engineering standards for the stack and, as the team grows, help hire and mentor additional engineers.

In the first year, success includes establishing a documented GTM architecture and approved roadmap; enabling lead-to-cash operations without manual re-entry and reconciling data across Salesforce, billing, and the warehouse; putting AI tools into daily use with measured time savings; and bringing Salesforce and related services under version control, testing, and CI-based deployment.

Requirements

• 5–7 years of professional software engineering experience, including senior ownership of production systems.
• Track record of designing systems end to end and leading projects from scoping through release with little oversight.
• Strong skills in Python or TypeScript, plus SQL.
• Deep experience integrating with Salesforce (REST/Bulk APIs, Apex, Flows, or platform events) or similar business systems.
• Experience with cloud infrastructure (AWS or GCP), event-driven pipelines, and workflow orchestration.
• An owner's mindset and care for data correctness, plus the ability to turn vague problems from non-technical stakeholders into shipped solutions.

Nice To Haves

• Experience as the first engineer on an internal tools or business systems team.
• Experience building with LLMs and agent frameworks.
• Experience with NetSuite, Stripe, or another billing system, CPQ, or a reverse-ETL tool such as Hightouch or Census.
• Experience with data infrastructure such as dbt, Airflow, or Snowflake.

Responsibilities

• Own the architecture of the GTM stack, connecting Salesforce, billing and finance systems, product data, and the data warehouse.
• Set the technical roadmap with Sales Ops, Deal Desk, and the GTM Data Analyst, and decide what to build, buy, or retire.
• Automate sales operations workflows end to end, including lead and account routing, territory assignment, approval flows, quote-to-cash, and commission inputs.
• Build internal tools and AI agents to reduce manual work for sales representatives and operations teams, including account research, call preparation, data enrichment, and Salesforce hygiene.
• Own the reliability, observability, and correctness of GTM data pipelines, with monitoring to catch broken synchronizations or incorrect dashboards.
• Set engineering standards for the GTM stack, including version control, testing, CI/CD, and documentation for Salesforce and associated services.
• Help hire and mentor engineers who join the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed