Product Marketing Operations Analyst

Faith Technologies•Pewaukee, WI

23h•Hybrid

About The Position

This role serves as a foundational steward of product marketing systems and customer-facing information governance, ensuring that assets, data, and workflows are structured, reliable, discoverable, and consistently used across the team. In addition, this role builds analytical and insights capabilities by synthesizing secondary research, voice-of-customer inputs, and go-to-market (GTM) performance data to support product marketing decisions. This position is intentionally designed as an entry point into the Product Marketing function, with a clear development path toward promotion into an Associate Product Marketing Manager role supporting new product introductions.

Requirements

Bachelor's degree in Marketing, Business, Analytics or related field
1+ years of experience building, configuring, or learning to build AI-powered workflows, automations, internal tools or agents to improve systems and workflows to improve operational efficiency and scale
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time other than the TN1 Visa (Canadian).

Responsibilities

Own and maintain the Product Marketing operating rhythm that aligns product development process (PDP) phase-gate touchpoints with planning, execution and review cycles
Document, maintain, and continuously improve Product Marketing processes, playbooks, templates and governance standards
Support consistent adoption of tools, workflows and standards across the Product Marketing team
Reinforce single-source-of-truth behaviors across systems by defining how product marketing information is created, stored, updated and used
Design and maintain AI-ready knowledge systems, including structured repositories, metadata standards, and information architecture
Serve as the owner for product marketing PDP‑related governance
Maintain and evolve PDP templates, guidance, and required Product Marketing deliverables by phase
Track product marketing team adoption and consistency of PDP expectations across the Product Marketing team
Identify gaps, risks, or optimization opportunities for product marketing within PDP deliverables, timing and dependencies
Create, maintain, and govern core Product Marketing deliverables that document how our products work, what problems they solve, and customer value
Build and maintain AI-supported intake workflows that route, summarize and prioritize requests based on defined rules, signals and business context
Reduce ad-hoc and reactive work by enforcing defined intake and planning processes
Define and enforce standards for asset structure, naming, metadata, versioning and lifecycle status
Ensure product marketing outputs are accurate, current, evidence‑based, and easy for downstream teams to find and use
Partner cross-functionally to help clarify and maintain shared definitions for sales funnel and GTM performance metrics
Partner with Market Research to support voice-of-customer (VOC) question definition, synthesis and documentation
Synthesize inputs into clear, structured insights that inform messaging, priorities, and Product Marketing discussions, connecting research, VOC and performance data
Design and maintain AI-assisted data synthesis workflows that normalize, summarize and connect disparate data sources into coherent, review-ready narratives
Support GTM reviews by maintaining metrics, templates, scorecards and documentation, ensuring all insights align with approved sources, definitions and standards
Help design, configure and operationalize AI-powered workflows and internal tools across Product Marketing, including defining where AI is embedded into systems, processes, and decision flows
Build, document and maintain AI‑supported processes, prompts, and guardrails to ensure outputs are accurate, repeatable, governed
Prototype, test and help operationalize AI capabilities (e.g. automations, agents, or intelligent workflows) that improve efficiency, scalability and decision quality
Help the team move from ad‑hoc AI usage to intentional, governed, and value‑driven adoption
Performs other related duties as required and assigned.