Universal Background Screening is a leading provider of compliant, accurate, and high-quality background screening solutions. We serve organizations across various industries, helping them make informed hiring decisions through advanced technology, superior customer service, and adherence to industry regulations.
JOB SUMMARY
The AI Product Manager will own our AI product strategy and help us identify and execute the biggest AI opportunities across our products and operations. This is a high-impact, cross-functional role sitting at the intersection of product, data, and engineering. This position will work closely with engineering, data, design, and operations teams to define what we build, validate that it creates real value, and ship features that leverage AI in meaningful, responsible ways. This role will also serve as an internal advocate for AI — helping stakeholders across the company understand where AI can move the needle.
KEY RESPONSIBILITIES
AI Strategy & Opportunity Identification
- Conduct structured discovery across our product lines and internal operations to identify the highest-leverage AI opportunities.
- Build and maintain an AI roadmap, prioritizing initiatives by impact, feasibility, and alignment with company strategy.
- Evaluate emerging AI capabilities (LLMs, generative AI tools, AI APIs) and assess their relevance to our products and users.
- Partner with leadership to define a coherent AI vision and communicate it clearly to the organization.
AI Product Execution
- Define clear success metrics for AI products, including accuracy, latency, user adoption, and downstream business impact.
- Own the full product lifecycle for AI features — from discovery and scoping through launch and iteration.
- Work hands-on with engineering teams to manage trade-offs, write specs, and unblock delivery.
- Build safeguards and feedback loops to catch bad AI outputs, edge cases, and misuse in production.
- Lead post-launch reviews to drive continuous improvement of AI features
Data Analysis & Insights
- Analyze product and behavioral data to identify opportunities, validate hypotheses, and measure outcomes.
- Translate ambiguous signals (flat DAUs, rising support tickets, usage drop-offs) into clear diagnostic frameworks and action plans.
- Work comfortably with SQL, BI tools, and data analysts to pull and interpret data independently when needed
- Design experiments and A/B tests to validate AI feature changes rigorously.
Data Platform Partnership
- Collaborate with data engineering teams to understand data availability, pipeline readiness, and infra constraints
- Incorporate data platform considerations into roadmap planning and feature design
- Serve as the product voice in discussions about data architecture and the data signals that power AI features
Cross-functional Leadership
- Build alignment across engineering, design, operations, legal, and leadership on AI priorities and timelines.
- Proactively identify and resolve organizational friction that slows down AI initiatives
- Communicate clearly about AI product decisions — what we're building, why, and what tradeoffs we're making
- Perform additional tasks as needed to support the success of the company.
REQUIRED QUALIFICATIONS
- 3+ years of experience in product management or a related field
- 2+ years shipping AI-powered products
- Demonstrated ability to identify and validate new product opportunities, especially in AI domains
- Strong data analysis skills — comfortable writing SQL, working with BI tools (Looker, Tableau, Metabase, etc.), and running analyses independently
- Experience partnering with data engineering and data science teams to ship data-intensive products
- Excellent written and verbal communication and able to explain complex AI concepts to non-technical stakeholders.
- Track record of driving cross-functional alignment on ambiguous, high-stakes initiatives
PREFERRED QUALIFICATIONS
- BS or BA in Computer Science or related field or equivalent experience
- Experience building LLM-powered products or GenAI features using third-party AI APIs (e.g., prompt engineering, RAG, output evaluation)
- Working knowledge of data platforms and tooling (e.g., Snowflake, dbt, Databricks, Airflow, or equivalents)
- Familiarity with AI quality frameworks — how to evaluate AI output quality, set up evals, monitor for regressions, and manage hallucination risks
- Hands-on experience with Python for data exploration or lightweight analysis
- Experience in a company that operates both a user-facing product and internal operational workflows
- Background in or exposure to responsible AI practices — fairness, explainability, user trust
SPECIAL REQUIREMENTS
- Willingness to travel as required
- Prolonged periods sitting at a desk and working on a computer.
- Must be proficient in the English language, both written and verbal.
- Ability to lift 15 pounds.
Universal Background is committed to creating a diverse work environment and we are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
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