6+ years in product management or related fields within B2B SaaS, with a focus on cross-functional accountability.
Strong understanding of Sales, Marketing, Customer Success, and Sales Ops operations.
Proven ability to transform ambiguous needs into actionable specs and workflows.
Fluency with GTM tools like Salesforce, Gong, Clay, and Snowflake, along with APIs and data models.
Hands-on experience building AI prototypes and automated workflows, demonstrating practical skills in AI.
Excellent written communication skills, capable of simplifying complex topics for senior stakeholders.
Responsibilities
Conduct discovery sessions with sales and marketing teams to identify productivity gaps and set baselines.
Manage the roadmap and backlog for GTM AI capabilities, collaborating with engineers on priorities.
Oversee the GTM AI estate, making build-versus-buy decisions and maintaining a single source of truth for use cases.
Draft detailed specs and prototypes for engineers, ensuring faster shipping of use cases.
Design AI experiences that provide actionable recommendations rather than just dashboards.
Track adoption and ROI of capabilities, making data-driven decisions on improvements or retirements.
Determine the balance between automation and human oversight, establishing quality checks for AI outputs.
Collaborate with Data and Engineering to ensure robust foundations for GTM AI outputs.
Benefits
Start-up equity
100% health, vision & dental coverage options
Catered meals throughout the day
Flexible PTO
ClassPass membership
Monthly commuter benefit
Team building events & happy hours
Home office stipend
Phone/internet reimbursement
Paid parental leave
Fertility stipend
401k plan
AI token usage
Full Job Description
Your Role
You are the first product manager for GTM AI within Enterprise AI & Technology, owning the tools and agents that reach Field GTM & Operations, and the productivity and revenue gains they deliver.
You think AI-first and bring the ideas no one asked for: a seller gets a researched account brief, not a faster form. You prove the non-obvious idea with a cheap prototype, and you are equally clear about where AI does not belong.
You work directly with the business. You sit with Sales, Marketing, Customer Success, and Sales Ops to learn how the work really gets done, then write what gets built - the process flow, the data flow, the spec, the success criteria - and prototype it, so our GTM engineers build the right thing the first time.
You look at the whole picture, mapping the end-to-end flow across teams, systems, and handoffs before committing to a build, so we connect the revenue journey rather than ship point solutions that leave seams everywhere.
You define the approach where no playbook exists, balancing speed, quality, and adoption, and you set up the intake, prioritization, and release process for a function that did not have one.
You hold the quality bar personally, getting hands-on with the data, the prompts, the evals, and the agent workflows, because an AI capability the field cannot trust is worse than no capability at all.
You Will
Run discovery with sellers, marketers, customer success managers, and Sales Ops: shadow the work, find where time and deals are lost, set a productivity baseline, and turn requests into clear problems, priorities, and success criteria.
Own the roadmap and backlog for a portfolio of GTM AI capabilities, deciding with the GTM engineers what to build, what to configure, and what to say no to.
Own the GTM AI estate, not just the roadmap: evaluate and test vendors, make the build-versus-buy call and brief leadership on it, consolidate surfaces so the field has fewer places to go, and keep one source of truth for active and planned use cases.
Write the specs and prototypes the GTM engineers build from - example inputs, expected outputs, acceptance tests, integrations, and data flows - and turn them into reusable patterns, so each use case ships faster than the last.
Design AI experiences that turn signals into recommendations and automated action, not dashboards, with the reliability, security, and privacy requirements set up front.
Define and track adoption, usage, time saved, and ROI for each capability, and act on what they tell you, including retiring what does not work.
Decide what runs autonomously and what keeps a human in the loop - being able to automate something is not a reason to - then set the approval gates, evals, and quality checks that keep agent outputs trustworthy in front of customers and sellers.
Partner with Data and Engineering on the foundations behind GTM AI - entity resolution, enrichment, and scoring inputs from Salesforce, Gong, Clay, and Snowflake - and give every context source feeding the GTM AI outputs a named owner and a refresh cadence.
Work with Enablement to land new capabilities with the field, and gather structured feedback to shape the next release.
Qualifications
6+ years in product management, Sales Operations, GTM strategy, business systems, or solutions and forward-deployed engineering at a B2B SaaS company, owning cross-functional products end to end with accountability for outcomes, not output.
Strong GTM domain credibility: you know how Sales, Marketing, Customer Success, and Sales Ops work day to day, you are comfortable with sellers and their leaders, and you have improved sales productivity through product, automation and AI.
A builder's mindset: comfortable starting from an imperfect prototype, a track record of turning ambiguous needs into specs and workflows that get built and used, and judgment about where LLMs and agents fail and how to evaluate them.
Fluency with the GTM stack - Salesforce, Gong, Clay, Snowflake, and LLM tools such as Claude - plus CRM data models, APIs, and workflow orchestration.
Hands-on AI build skill: you have personally built working prototypes, agents, or automated workflows with tools such as Claude Code, not just used AI-enabled products, and you can show what you built, what broke, and what you changed.
Strong written communication, with the ability to simplify complex topics for senior stakeholders.
Nice to Haves
Experience building evaluation or governance practices for AI-generated content.
Hands-on experience with GTM AI tools such as Actively and Octave.
Experience as a GTM engineer, solutions architect, or forward-deployed engineer with strong product instincts.
The salary range for this role is $150,000 - $185,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
Perks & Benefits
At Zip, we're committed to providing our employees with everything they need to do their best work.
Start-up equity
🦷 100% health, vision & dental coverage options
Catered breakfast, lunch, & dinner
Flexible PTO
🏋 ClassPass membership
🚍 Monthly commuter benefit
🚠 Team building events & happy hours
Home office stipend
🛜 Phone/internet reimbursement
Paid parental leave
🧒🧒 Fertility stipend
401k plan
AI token usage
About Zip Co
Zip Co Limited previously known as ZipMoney Limited is an Australian public limited financial technology company. The company was founded in 2013 and is headquartered in Sydney. In September 2020, Zip acquired the US-based ‘Buy Now, Pay Later’ company Quadpay to grow its American footprint. The company now has operations in Australia, Canada, Czech Republic, India, Mexico, New Zealand, the Philippines, Poland, Saudi Arabia, Singapore, South Africa, UAE, the United Kingdom and the USA. It currently has around 81,000 retail partners and over 9,900,000 customers. As of March 2021, Zip Co's market cap was $5.83 billion.
