Senior Product Manager, AI

About AccuSourceHR:
AccuSourceHR is a full-service employment screening organization headquartered in Phoenix, Arizona. Since 1999, we have helped employers make faster, safer, and more confident workforce decisions through reliable screening technology, high-quality client care, and PBSA-accredited practices.

We are investing in modern product experiences, integrations, automation, data-driven insights, and practical AI capabilities that help customers operate more efficiently and with greater confidence.

Position Overview

As a Senior Product Manager, you'll lead the end-to-end product life cycle, from ideation to launch and iteration. Collaborating with cross-functional teams, including engineering, UX/UI, operations, implementation, and marketing, you'll develop scalable, user-centric solutions that align with our mission to enhance workforce screening services. What you will own:

- *Product Strategy and Roadmap.*
Define and execute strategy for AI capabilities, automation, integrations, and platform improvements. Translate customer needs and business goals into clear priorities, MVPs, releases, success metrics, and business cases. Determine when AI vs. rule-based solutions deliver the most value.

- *AI Product Development.*
Collaborate with engineering to build AI-powered features such as assistants, agents, and workflows. Define user journeys, guardrails, and requirements (prompts, outputs, orchestration, evaluation). Ensure safe, reliable releases with controls for accuracy, privacy, auditability, and transparency. Use AI tools in your own product workflow.

- *Workflow and Domain Leadership.*
Develop expertise in customer workflows across screening, compliance, and integrations. Identify opportunities to streamline fragmented systems and define key product decisions around data, permissions, and build vs. partner tradeoffs.

- *Discovery and Execution.*
Lead discovery through customer research, workflow analysis, and market insights. Use data, feedback, and trends to shape priorities. Define personas, user journeys, and hypotheses, and drive cross-functional execution across teams.

- *Responsible AI and Measurement.*
Ensure responsible AI practices with strong governance around risk, bias, and compliance. Define when and how AI is used in workflows. Track product and AI-specific metrics (adoption, efficiency, quality, trust) and use structured evaluation methods to guide releases and improvements.

What Success Looks Like in the First 6 to 12 Months

• A clear AI product roadmap is defined, prioritized, and aligned with company strategy.
• High-value AI and automation opportunities are translated into MVPs, measurable outcomes, and risk-managed launch plans.
• At least one AI-enabled capability, intelligent workflow, data-driven insight, or integration-driven experience is launched, piloted, or meaningfully advanced toward production.
• Customer evidence from interviews, usage data, support trends, or adoption metrics shows that shipped capabilities are solving real workflow problems.
• A practical evaluation approach is established so AI quality, safety, and regression risk are visible to the team.
• AI product practices improve across guardrails, release readiness, evaluation, human-in-the-loop design, observability, and post-launch monitoring.

Required Qualifications

• 7+ years of product management experience in B2B SaaS, workforce technology, compliance software, transportation technology, enterprise workflow software, data products, automation products, or a related domain.
• 1 to 2+ years shipping AI/ML, generative AI, intelligent automation, conversational analytics, agentic workflows, or data-driven workflow products to real users.
• Ownership of at least one AI-powered or agent-based capability, such as a co-pilot, assistant, intelligent automation, multi-step workflow, conversational interface, recommendation system, or AI-assisted workflow.
• Strong technical fluency in LLMs, prompt design, context engineering, retrieval-augmented generation, structured outputs, agent frameworks, evaluation methods, and cost, latency, quality, and safety tradeoffs.
• Experience defining product strategy, requirements, user stories, acceptance criteria, success metrics, rollout plans, and post-launch iterations.
• Strong product judgment, including the ability to decide when AI is appropriate and when deterministic workflow automation is better.
• Experience with sensitive data, regulated workflows, compliance-heavy products, high-trust customer environments, or enterprise systems.
• Strong analytical, written, and verbal communication skills.
• Bachelor’s degree in business, computer science, engineering, data science, human-computer interaction, or a related field. Equivalent experience will also be considered.

Preferred Qualifications

• Experience with employment screening, drug screening, employment verification, credentialing, license or certification tracking, continuous monitoring, audit readiness, regulated operations, document management, healthcare, transportation, employee life cycle, or compliance-heavy workflows.
• Experience launching AI-powered features, agents, copilots, workflow automation, recommendation systems, or data-driven decision support into production.
• Experience designing conversational or natural-language interfaces over complex enterprise data.
• Experience designing or operating LLM or agent evaluation systems, including golden sets, regression evals, LLM-as-judge, online experimentation, or human review workflows.
• Familiarity with Claude, ChatGPT, Amazon Bedrock, Azure OpenAI, GitHub Copilot, Cursor, LangChain, LlamaIndex, vector databases, MCP-based connectors, LangGraph, AutoGen, CrewAI, Bedrock Agents, or AI evaluation tools.
• Working understanding of embeddings, retrieval architectures, data quality issues, permissions, enterprise identity, and enterprise data access patterns.
• Experience with API-driven platforms, integrations, partner ecosystems, data contracts, workflow orchestration, privacy, security, auditability, or trust-sensitive workflows.

Salary:
$110,000-$140,000

Benefits:

• Medical (with company contribution)
• Dental (with company contribution)
• Vision
• Employer paid Life Insurance and Long-Term Disability
• Short-Term Disability
• 401(k) (with company match)
• Paid holidays
• Paid time off (PTO)
• Sick Time
• Pet insurance

Physical Requirements:

• Must have a dedicated and ergonomic workspace at home conducive to focused work.
• Access to a stable and reliable high-speed internet connection.
• Adequate lighting and minimal background noise to support professional video calls and meetings.
• Ability to lift and carry up to 5 pounds occasionally, for tasks such as setting up a workstation or equipment.
• The ability to work comfortably and effectively in a home environment that meets ergonomic standards, including proper seating and desk setup.

Equal Employment Opportunity:

AccuSourceHR, Inc, provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, gender identity, sexual orientation, status as a Vietnam-era, special disabled veteran or other veteran, or any other status or characteristic protected by applicable federal, state and/or local laws.

AccuSourceHR, Inc. reserves the right to modify, interpret, or apply the job description as needed. This job description is for informational purposes only and should not be construed as an offer or guarantee of employment.

Any offer of employment is conditional upon the successful completion of a background investigation and drug screening.

By submitting your application for and/or accepting this position, you acknowledge and agree that, if selected, you will be required to electronically sign certain employment-related documents upon commencing your position. This may include, but is not limited to, the offer letter, employment agreement, and other necessary forms.

*This job description is not designed to cover or contain all job duties required of the employee. There may be additional activities, duties and/or responsibilities that are required for this position that are not listed in this job description.*