Role overview

Zip is an AI platform for enterprise procurement that helps companies manage spend and procurement workflows with the assistance of AI agents. You’ll join the Business Technology & Internal AI team as a Go-to-Market Engineer, tasked with building the AI and automation infrastructure that powers Zip’s sales pipeline generation and outbound motion. This role bridges GTM strategy, systems design, and hands-on technical execution to make AI an integral part of how every sales representative works.

Key responsibilities

Design and build scalable, high-velocity GTM automation workflows using tools like Clay and n8n that improve rep efficiency, reduce friction, and accelerate pipeline generation.
Partner with sales leadership to translate business goals into concrete projects you propose and build, acting as a planning partner rather than an order-taker.
Evaluate, implement, and operationalize AI and enrichment tools across Salesforce, Gong, Clay, and related systems to enhance outbound quality and personalization.
Own workflows from conception through rollout, including scoping with sales leaders, building, piloting with representatives, launching, and iterating based on adoption and impact metrics.
Measure and track the impact of your work, including rep time saved, pipeline influenced, and tool adoption, cutting or refining solutions that underperform.
Pilot new tools, integrations, and AI workflows to identify and scale emerging GTM technologies that deliver results.

Requirements

At least four years of combined experience in GTM engineering, sales operations, RevOps, or business systems, ideally within fast-moving B2B SaaS environments.
Preferred experience of one to two years in a sales-facing role such as BDR, SDR, AE, or sales engineer, giving you direct understanding of pipeline pressures and daily sales challenges.
Working experience with Salesforce, with hands-on experience in Clay and Gong strongly preferred; experience with n8n, Zapier, or similar workflow orchestration platforms is a plus.
Comfortable building with AI coding tools like Claude Code and capable of reading and debugging code and SQL; data warehouse experience such as Snowflake is beneficial.
Demonstrated ability to learn new systems quickly, apply emerging technologies to business challenges, and connect business needs to system design and execution.
Proven track record of delivering practical AI and automation solutions that sales teams actually used, with measurable outcomes such as pipeline movement or time savings.
Strong written and verbal communication skills, with the ability to structure thinking clearly, write concise documentation, and present confidently to executives.

What makes this role worth considering

You’ll have the rare opportunity to help define a new discipline at a well-funded company backed by top-tier investors and trusted by major enterprises including T-Mobile, OpenAI, and AMD. Operating with high autonomy, you’ll work across multiple teams including Sales, Marketing Operations, and Internal AI to turn complex business challenges into solutions that scale. This role offers the chance to drive transformational productivity improvements rather than incremental gains, working in San Francisco with a team that values ownership, clear communication, and an underdog mindset.