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Salary: USD 150,000 - 190,000 / annual
Zip is an AI-powered enterprise procurement platform trusted by major enterprises including T-Mobile, OpenAI, AMD, Mars, and Dollar Tree. The company has processed over $500 billion in spend and saved customers over $8 billion. Backed by top-tier investors including Tiger Global, Y Combinator, and others, Zip has raised $371 million at a $2.2 billion valuation.
You will join the newly established Business Technology Team as a Go-to-Market Engineer—a hybrid role combining GTM operations, hands-on building, and automation architecture. Your mission is to build the AI and automation infrastructure that powers Zip's pipeline generation and sales motion, making AI an integral part of how every sales rep works.
Key responsibilities include:
- Design and build scalable, high-velocity GTM automation workflows using tools like Clay and n8n to enrich data, route accounts, and trigger personalized outreach at scale.
- Partner with sales leadership to translate business goals (e.g., lifting outbound reply rates) into concrete projects you propose, build, and iterate on.
- Evaluate and implement AI and enrichment tools to boost outbound quality, integrating data from Salesforce, Gong, Clay, and other systems.
- Own the full lifecycle of workflows: scoping with sales leaders, building, piloting with reps, launching, and iterating based on adoption and impact metrics.
- Measure and track the impact of your builds—rep time saved, pipeline influenced, adoption rates—and optimize or sunset what doesn't work.
- Pilot new tools, integrations, and AI workflows to stay ahead of GTM technology trends.
You will operate with high autonomy across Sales and Marketing Operations, Business Technology, Internal AI, and Sales Leadership teams. This role is an opportunity to help define a new discipline at Zip, working at the intersection of go-to-market strategy, systems design, and hands-on execution.
REQUIREMENTS:
- 4+ years of experience in GTM engineering, sales ops/RevOps, or business systems, ideally in fast-moving B2B SaaS.
- Preferred: 1-2 years in a revenue-facing role (BDR, SDR, AE, sales engineer, or equivalent) to understand pipeline pressure firsthand.
- Working experience with Salesforce; hands-on experience with Clay (or similar) and Gong (or Chorus) strongly preferred.
- Experience with n8n, Zapier, or other workflow orchestration tools is a plus.
- Comfortable building with AI coding tools (Claude Code or similar) and able to read and debug code and SQL. Understanding of databases, structured data, and data warehouse experience (e.g., Snowflake) is a plus.
- Proven ability to learn new systems quickly and apply emerging technologies to solve business challenges.
- Track record of practical AI and automation that helped a sales team move pipeline or save rep time, with quantifiable results.
- Ability to build robust automations that handle edge cases, surface errors, and can be maintained by others. Understanding of when to use LLMs versus deterministic logic.
- Excellent written and verbal communication; ability to structure thinking clearly, write concise memos, and present to executives.
- High bias for action, low ego, ownership mindset, and comfort operating in uncharted territory.
