Product Operations Associate, Aitium

Employment Type:

Full-time

Location:

Washington, D.C. Metro / Virginia — Hybrid, with availability during U.S. Eastern business hours.

Global AI Internet Freedom Fund is seeking a Product Associate to support the development, operation, and commercialization of aitium®, our agentic AI and commerce intelligence platform.

aitium® helps businesses use marketplace, procurement, advertising, financial, and operational data to make faster and more informed decisions. The platform is built on AWS and integrates with Amazon’s Selling Partner API, Amazon Business, Amazon Ads, AWS Marketplace, Plaid, Quick Books, and other third-party services.

This role sits between product management, engineering, data, cloud operations, and go-to-market execution. The Product Associate will help translate business and customer requirements into clearly defined product features, infrastructure changes, workflows, documentation, testing plans, and implementation tasks.

Our development and deployment environment uses AWS CDK for infrastructure as code and AWS Code Suite services, particularly AWS Code Build
. The successful candidate should therefore be comfortable working with AWS infrastructure, build pipelines, command-line tools, technical documentation, and Git-based source control.

This is a hands‑on role for someone who wants to help build and commercialize an emerging AI product rather than manage an established product from a distance.

• Support the product roadmap for aitium®, including agentic AI, analytics, workflow automation, marketplace intelligence, and financial‑data integrations.
• Gather and document requirements from customers, internal users, commercial partners, and operational teams.
• Convert product requirements into user stories, acceptance criteria, implementation tasks, infrastructure requirements, and test plans.
• Coordinate with developers to prioritize, test, release, and document new product capabilities.
• Support cloud infrastructure and application deployments managed through AWS CDK and infrastructure‑as‑code practices.
• Review, test, and help maintain AWS Code Build projects, build specifications, deployment workflows, and related AWS Code Suite processes.
• Use AWS consoles, command-line tools, build logs, and monitoring services to identify deployment failures, configuration issues, and application defects.
• Work with Git repositories, branches, commits, merges, tags, and code‑review workflows.
• Use aitium® and its connected systems directly to identify bugs, workflow gaps, data‑quality issues, and opportunities for automation.
• Test APIs and integrations using command-line tools, API clients, scripts, and cloud‑development environments.
• Support integrations with Amazon’s Selling Partner API, Amazon Business, Amazon Ads, AWS Marketplace, Plaid, Quick Books, and related services.
• Help define how AI agents access tools, data, instructions, permissions, and business rules.
• Review and improve prompts, agent workflows, product instructions, and structured outputs.
• Assist with the preparation and evaluation of datasets used for analytics, forecasting, recommendations, and AI‑assisted decision‑making.
• Create product documentation, infrastructure diagrams, onboarding materials, process maps, demonstrations, and customer‑facing guidance.
• Support product launches, AWS Marketplace activities, customer onboarding, demonstrations, workshops, and feedback collection.
• Track product usage, feature adoption, customer requests, operational issues, build performance, and commercial outcomes.
• Maintain organized product backlogs, release notes, project plans, implementation checklists, and deployment records.
• Research competing products, emerging AI tools, marketplace APIs, and opportunities for new aitium® features.
• Work across product, engineering, operations, commercial, and partner teams to help move new capabilities from concept through deployment and adoption.

• Bachelor’s degree or equivalent practical experience in product management, business, information systems, computer science, data analytics, engineering, or a related field.
• At least one year of relevant experience in product…