Artificial Intelligence (AI), Business Operations, Communication Skills, Cross-Functional, Customer Relationship Management (CRM), Decision Support, Documentation, Finance, Knowledge Repositories, Leadership, Machine Tool, Marketing, Marketing Strategy, Metrics, Problem Solving Skills, Product Marketing, Product Strategy, Reconciliation, Software Engineering, Source Code/Configuration Management (SCM), Test Tools
Pay Rate Range: $85 - $91.54/hr. on W2
Work Location: San Jose or San Francisco, CA only
The Opportunity:
- The Creator Product Marketing Strategy & Operations team is seeking an AI Workflow Architect, Business Operations for a focused 6-month engagement. The team supports a fast-moving
- Product Marketing organization and is frequently asked to compile written updates, surface test results, and support leadership decision-making that today require manual coordination.
- You will be tasked with building a central, queryable knowledge repository a single source of truth where information like test results and inputs from PMM projects is captured and can be summarized on demand by anyone who needs it. Think of it as a lightweight CRM for the org's knowledge, with an AI query layer on top.
- This is a builder role, not an advisory one. You will not deliver a strategy or a set of recommendations you will architect and ship a working tool, by leveraging AI tools already available at ****, such as Claude, Glean, Copilot.
What You'll Build:
- A central knowledge repository that captures structured inputs test results, PMM project updates, and other recurring information in a consistent, maintainable format.
- An AI query layer on top of that repository so any authorized user can ask a question and get an accurate, high-level summary on demand without needing to coordinate with individual PMMs.
- The end-state experience: org leadership and teammates can query the tool and provide at least an initial high-level answer immediately, rather than waiting for someone to dig into the data.
- Lightweight processes and documentation so the team can keep the repository current and the tool useful long after the engagement ends.
Secondary objective (stretch if scope and time allow):
- Begin establishing easier access to commonly used metrics reducing the manual coordination, pulling, and reconciliation the team does today in partnership with Analytics and Finance.
- The primary deliverable is the knowledge repository; this is a valuable extension if the build progresses ahead of schedule.
What You Need to Succeed:
- An operations mindset: You understand how teams function, how information flows, and how to design a tool people will genuinely adopt and maintain not just a technically impressive artifact.
- This is a workflow and operations role requiring AI expertise, not a software engineering role.
- Hands-on fluency with Claude / Glean / Copilot and demonstrably deep expertise with equivalent enterprise platforms and AI agent frameworks.
- We expect you to be an expert in the tools; you do not need to know ****'s internal tooling governance on day one, but you should be able to build with these platforms immediately.
- A track record of building AI-powered tools not advising on them.
- You have personally built and shipped working solutions, whether from scratch or by orchestrating existing AI platforms, LLMs, and agent frameworks.
- Proven success in introducing user-centric processes: Ability to design workflows that others can keep current with minimal friction, including the discipline to make the "keep it updated step as easy as possible for contributors.
- Comfort operating with ambiguity and moving fast.
- A 6-month engagement has no runway for extended ramp-up you can scope quickly, build, and deliver a working tool within the engagement window.
- Strong communication skills and the ability to work cross-functionally with marketing, operations, and data partners.
Nice to Have:
- Familiarity working with marketing or PMM organizations.
- Experience building tools with common enterprise AI platforms and agent tooling.
- Experience integrating or surfacing data from multiple sources, with an eye toward eventual self-serve metric access.
- Prior experience working within or alongside a Strategy & Operations function.
Engagement Structure:
This is a 6-month contract structured in three phases:
Month 1: Scope and design
- Understand the recurring information needs, define the repository structure and the inputs
- PMMs will maintain and confirm the build approach. Ends with an agreed design and build plan.
Month 2 4: Build
- Build the repository and AI query layer.
- Weekly check-ins with the project lead. Goal: a working tool ready for internal testing by end of month 3.
Month 5 6: Adopt and hand off
- Refine based on real usage, drive adoption with the PMM org, and complete documentation.
- The tool should be in active use with 2 3 weeks remaining so issues can be resolved while you are still engaged.