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Zip

Runs purchasing workflows for business teams

Product Manager - GTM AI Systems

Product ManagementPosted on Nov 11
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • At least 6 years of experience in product management, Sales Operations, go-to-market strategy, business systems, or solutions and forward-deployed engineering at a B2B SaaS company, owning cross-functional products end to end and being accountable for outcomes.
  • Strong go-to-market domain knowledge, including how Sales, Marketing, Customer Success, and Sales Operations work, comfort working with sellers and their leaders, and experience improving sales productivity through product, automation, and AI.
  • Ability to turn ambiguous needs into prototypes, specifications, and workflows that get built and used, with judgment about where large language models and agents fail and how to evaluate them.
  • Fluency with Salesforce, Gong, Clay, Snowflake, large language model tools such as Claude, CRM data models, APIs, and workflow orchestration.
  • Hands-on experience building working prototypes, agents, or automated workflows with tools such as Claude Code, and ability to discuss what was built, what failed, and what was changed.
  • Strong written communication and ability to simplify complex topics for senior stakeholders.

Responsibilities

  • Run discovery with sellers, marketers, customer success managers, and Sales Operations by shadowing their work, identifying where time and deals are lost, setting a productivity baseline, and translating requests into problems, priorities, and success criteria.
  • Own the roadmap and backlog for a portfolio of go-to-market AI capabilities and decide with go-to-market engineers what to build, configure, or decline.
  • Own the go-to-market AI estate by evaluating and testing vendors, making build-versus-buy decisions and briefing leadership, consolidating surfaces, and maintaining a source of truth for active and planned use cases.
  • Write specifications and prototypes for go-to-market engineers, including example inputs, expected outputs, acceptance tests, integrations, and data flows, and turn them into reusable patterns.
  • Design AI experiences that turn signals into recommendations and automated action, with reliability, security, and privacy requirements defined up front.
  • Define and track adoption, usage, time saved, and return on investment for each capability, act on the results, and retire capabilities that do not work.
  • Decide which tasks run autonomously and which retain a human in the loop, and establish approval gates, evaluations, and quality checks for trustworthy agent outputs.
  • Partner with Data and Engineering on go-to-market AI foundations, including entity resolution, enrichment, and scoring inputs from Salesforce, Gong, Clay, and Snowflake, and assign an owner and refresh cadence to each context source.
  • Work with Enablement to introduce capabilities to the field and gather structured feedback to inform subsequent releases.

Desired Qualifications

  • Experience building evaluation or governance practices for AI-generated content.
  • Hands-on experience with go-to-market AI tools such as Actively and Octave.
  • Experience as a go-to-market engineer, solutions architect, or forward-deployed engineer with strong product instincts.

About the Company

Zip

Runs purchasing workflows for business teams

Zip sells procurement software to businesses that lets employees request purchases while finance, legal, and security teams review them in one shared workflow. Its intake system gathers purchase details up front and routes each request through the approvals required by a company's policies. The platform connects requests to supplier onboarding, contracts, purchase orders, invoices, and payments, so teams track a purchase from initial need to settlement. AI agents review documents and handle repetitive tasks within those controls, while customers pay for software subscriptions and add-on capabilities. Zip was founded in 2020 and is headquartered in San Francisco, California.

Company size
501-1,000
Company stage
Series D
Total funding
$371M
Headquarters
San Francisco, CA
Founded
2020

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