Product Manager
Enformion · $120K–$135K/yr
Data Infrastructure and Analytics · 51-200 employees
About the role
The Product Manager will coordinate projects across teams and partner with stakeholders to drive AI-powered initiatives. They are responsible for developing and refining AI agents while leading internal training to promote the effective use of AI tools.
What they look for
Requirements
Candidates must have at least 6 months of experience in a corporate environment and a strong desire to become an expert in building AI agents. Proficiency in AI automation tools and the ability to translate non-technical stakeholder needs into structured workflows are required.
Full description
About Enformion
Enformion is a dynamic powerhouse in data intelligence and AI-powered identity verification. We deliver next-generation fraud prevention, risk management, and seamless onboarding solutions that foster ironclad trust between digital marketplaces, merchants, and consumers. By leveraging our massive data repositories and advanced behavioral analysis, we provide continuous monitoring for emerging risk indicators.
In a digital world where security and trust are everything, Enformion is at the forefront of the industry—and we are growing fast.
Company Overview:
Enformion is a leading data and analytics platform focused on delivering powerful intelligence solutions to businesses and government agencies. We are expanding our capabilities with company‑wide AI initiatives designed to improve internal efficiency and unlock new product opportunities. As noted in the source document, this role supports “projects on track while leading company‑wide AI initiatives,” and requires someone who is comfortable working across departments and adapting to shifting priorities. Our environment is collaborative, fast‑moving, and ideal for someone who thrives in a team‑first setting where “no task is too small, no responsibility too large.”
Position Overview:
We are seeking a versatile and highly motivated Product Manager to help drive AI‑powered initiatives across the organization. This role blends product strategy, project coordination, and hands‑on AI agent development. You will collaborate closely with engineering, design, and business stakeholders to plan, execute, and optimize projects that enhance internal workflows and eventually support client‑facing products.
The position begins with a focus on internal efficiency but will expand into shaping new AI‑driven features and offerings for our customers. Success requires creativity, problem‑solving, strong communication skills, and the ability to lead or support projects depending on organizational needs.
Salary: $120k-$135k
Qualifications:
Required
- Strong desire to become an expert in building and deploying AI agents — treating it as a craft, not just a job function.
- Continuous learning mindset with the ability to grow into expanded responsibilities.
- Comfortable working across multiple teams and departments in a highly cross‑functional role.
- Excellent communication skills, including the ability to run discovery conversations with non‑technical stakeholders and translate them into structured workflow specifications.
- Demonstrated experience independently leading projects or initiatives with minimal oversight.
- Hands‑on experience building with AI tools in workflow or automation contexts (Claude, ChatGPT, n8n, Make, LangChain, etc.).
- At least 6+ months of experience in a business or corporate team environment.
Preferred
- Direct experience designing and deploying end‑to‑end agentic AI workflows.
- Process management or Six Sigma experience.
- Familiarity with AWS and Jira.
- Experience working remotely as part of a distributed team.
- Exposure to two or more of the following domains: data science, product management, software engineering, sales/marketing, project management.
- Direct experience in data science, product, or engineering.
- Python proficiency.
Key Responsibilities:
- Provide project planning and coordination across teams.
- Partner closely with engineers, designers, and relevant stakeholders to move initiatives forward.
- Problem‑solve independently and collaboratively to meet project goals.
- Develop AI agents using Claude CoWork.
- Review and refine AI agents developed by colleagues.
- Stay current on emerging AI capabilities and industry developments.
- Lead internal AI trainings and workshops to increase adoption and effective use of AI tools.