Product Owner (AI & Prompt Strategy)
About the role
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and internationally in Mexico and India. We have offices in Los Angeles, New York, New Jersey, Atlanta, and more.
Responsibilities
Own the overall product vision and roadmap for enterprise conversational AI and voice-agent initiatives.
Define and govern the enterprise AI persona, brand voice, system instruction, and prompt development strategy.
Lead product orchestration across sales, servicing, fulfillment, and operational teams supporting parallel AI-agent development.
Architect multi-agent conversational models that route user intent to specialized AI agents.
Develop, test, refine, and optimize system prompts, prompt templates, system instructions, and few-shot examples.
Balance conversational quality, contextual accuracy, token efficiency, latency, and operational performance across AWS-based AI solutions.
Establish product frameworks and dashboards to measure prompt effectiveness, AI performance, and customer outcomes.
Track AI-specific metrics including hallucination rates, contextual accuracy, containment rates, task completion, latency, escalation frequency, and user abandonment.
Utilize customer feedback and operational metrics to continuously improve AI performance.
Lead prioritization of business requirements across multiple stakeholder groups.
Identify dependencies, resolve competing priorities, and eliminate business and technical bottlenecks.
Define and maintain representative AI evaluation datasets and testing scenarios.
Partner with engineering teams to integrate automated evaluation pipelines and quality frameworks.
Lead A/B testing initiatives for prompts, conversational flows, personas, and response strategies.
Define product success metrics aligned with business KPIs.
Collaborate with engineering teams on APIs, infrastructure integration, latency optimization, and AI safety guardrails.
Mentor Product Analysts responsible for prompt development, testing, business requirements, and knowledge management.
Present product strategy, roadmap, risks, and performance updates to executive leadership.
Qualifications
5-7 years of experience in Product Management, Product Ownership, AI Product Management, or a comparable product leadership role.
Demonstrated experience leading conversational AI, voice AI, generative AI, or large language model products.
Strong knowledge of prompt engineering, including system prompts, system instructions, prompt templates, few-shot examples, context management, and iterative tuning.
Proven ability to design multi-agent systems, agent-routing models, complex conversational architectures, or state-machine workflows.
Experience translating complex business rules and operational processes into precise technical configurations and natural-language interaction flows.
Strong understanding of large language models, retrieval-augmented generation, AI orchestration, vector databases, and automated evaluation methods.
Experience defining product strategy, roadmaps, success metrics, requirements, user stories, and acceptance criteria for enterprise technology products.
Strong analytical background with experience developing performance dashboards, evaluating data, and identifying actionable trends.
Experience planning and executing A/B tests, controlled experiments, or iterative product-optimization initiatives.
Familiarity with AI-specific performance measures, including hallucination rates, contextual accuracy, containment, prompt latency, and task completion.
Ability to work effectively with engineering teams on API integrations, cloud infrastructure, platform performance, and technical dependencies.
Exceptional leadership, communication, facilitation, negotiation, and stakeholder-management skills.
Ability to lead multiple workstreams and coordinate priorities across business, product, operations, and engineering teams.
Strong written communication skills with the ability to develop clear, precise, and contextually appropriate AI instructions.
Preferred (Optional)
Prior experience within mortgage, banking, lending, fintech, financial services, or complex customer-servicing environments.
Experience designing or scaling enterprise voice AI, virtual-agent, chatbot, or contact-center automation solutions.
Experience working within a federated hub-and-spoke product or technology operating model.
Exposure to AWS-based generative AI platforms, services, infrastructure, or AI-development environments.
Familiarity with LLM-as-a-judge methodologies, automated AI-evaluation pipelines, and Golden Dataset development.
Experience defining and implementing AI-safety guardrails, content controls, escalation logic, and responsible-AI practices.
Experience managing or mentoring Product Analysts, Business Analysts, Prompt Designers, or AI-product team members.
Familiarity with Agile product-development methodologies and tools used to manage product roadmaps, backlogs, requirements, testing, and releases.
Benefits
Medical coverage and Health Savings Account (HSA) through Anthem
Dental/Vision/Various Ancillary coverages through Unum
401(k) retirement savings plan
Paid-time-off options
Company-paid Employee Assistance Program (EAP)
Discount programs through ADP WorkforceNow
Additional Details
The base range for this contract position is $47 - $62.50 per hour, depending on experience.