AI Product Manager Resume Cecilia Barker AI Product Manager (919) 555-6724 cecilia.barker@example.com linkedin.com/example/ceciliabarker Raleigh, NC 27601 STRENGTHS AI Product Strategy Turned emerging model capabilities into recruiter workflows that earned practical customer adoption. One launch began with a small workflow question and grew through evidence. Responsible AI Built review criteria for safety, fairness, privacy, and explainability. Legal and engineering partners relied on this structure during release decisions. Customer Discovery Connected interviews, support themes, analytics, and market research with product choices. Recruiter feedback often changed an early assumption. Cross Functional Leadership Aligned engineering, data science, design, legal, sales, and customer success around shared outcomes. Clear decisions kept complex launches moving. Product Analytics Used activation, completion, retention, feedback, and support signals to guide iteration. Dashboards made difficult product conversations more concrete. SKILLS Product strategy Roadmap development Prioritization B2B SaaS HR technology Generative AI Conversational AI AI assistants Agentic workflows Large language models Machine learning Prompt engineering AI evaluation Customer research Product analytics LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 8.8 Years Senior Product Manager, AI Experiences at TalentSpring Software (2.7 Years) Product Manager, Recruiting Platform at PeopleFlow Cloud (2.4 Years) Associate Product Manager at Workflow Harbor (2 Years) Product Analyst at BrightPath Business Systems (1.7 Years) SUMMARY AI Product Manager with seven years of experience delivering customer facing B2B SaaS and HR technology products. Leads product strategy from discovery and roadmap prioritization through experimentation, launch, adoption, and post launch evaluation. Translates large language model and machine learning capabilities into intuitive recruiter workflows, conversational assistants, recommendations, automation, and decision support . Partners closely with engineering, data science, design, legal, privacy, compliance, sales, marketing, and customer success teams. Uses customer research, analytics, controlled experiments, and AI evaluations to set measurable outcomes and guide product decisions. Balances innovation with reliability, security, scalability, maintainability, fairness, explainability, and customer trust. Brings practical experience with executive communication, responsible AI, prompt engineering, agentic workflows , and enterprise adoption, with a clear focus on useful products and better hiring decisions. EXPERIENCE Senior Product Manager, AI Experiences TalentSpring Software January 2024 - Present Raleigh, NC Leads strategy, roadmap, discovery, delivery, evaluation, and adoption for generative AI products within a recruiting SaaS suite serving thousands of organizations. Connects recruiter needs, model capabilities, commercial priorities, responsible AI requirements, and executive expectations across a distributed product organization. Owned generative AI strategy for recruiting software, aligning recruiter needs with model capabilities and commercial priorities. Launched conversational assistant features for intake, summaries, outreach drafting, and workflow guidance using evaluation driven iteration. Defined quality, groundedness, safety, latency, and task completion criteria with data science before model releases. Mapped agentic workflow approvals, human review points, privacy constraints, and recovery paths before implementation began. Built adoption dashboards combining activation, repeat usage, completion, feedback, and support signals for post launch decisions. Coordinated legal, privacy, security, and compliance reviews covering explainability , fairness , data use, and customer controls. Product Manager, Recruiting Platform PeopleFlow Cloud July 2021 - December 2023 Charlotte, NC Managed candidate and recruiter workflow products for a multitenant B2B SaaS platform serving midmarket and enterprise talent acquisition teams. Guided product strategy , prioritization, delivery, launch support, and adoption through close partnership with engineering, data science, design, and go to market teams. Delivered candidate recommendations by aligning ranking signals, data quality, explainability, and recruiter feedback with data science. Introduced AI assisted communication for outreach and interview coordination through interviews and usability testing. Prioritized quarterly investments using analytics , customer evidence, revenue context, estimates, and platform dependencies. Shaped requisition intake and candidate review workflows while preserving enterprise permissions, auditability, and recruiter trust. Supported launches with sales, customer success , and marketing through enablement, pilots, adoption monitoring, and briefings. Presented product outcomes and tradeoffs to senior stakeholders, improving alignment across technical and commercial teams. Associate Product Manager Workflow Harbor June 2019 - June 2021 Durham, NC Managed discovery and delivery for workflow configuration features in B2B SaaS , growing from scoped enhancements into quarterly roadmap ownership. Converted customer evidence, usage data, support themes, and competitive research into practical requirements, experiments, and delivery decisions. Converted interviews, support themes, usage analytics, and competitive research into prioritized workflow problems. Shipped configurable approval and notification workflows with role based access and auditable activity histories. Built dashboards tracking activation, completion, retention signals, and account adoption for shared decisions. Ran usability sessions and lightweight experiments, documenting evidence and tradeoffs before engineering commitments. Prepared roadmap reviews and launch readouts using customer evidence, delivery risks, and measurable outcomes. Expanded ownership from scoped enhancements to quarterly planning through consistent delivery and stakeholder communication. Product Analyst BrightPath Business Systems September 2017 - May 2019 Greensboro, NC Analyzed customer behavior and workflow data for cloud business applications, producing evidence for onboarding, search, notifications, reporting, and automation priorities. Built early product operations habits through instrumentation, market research, release readiness, and cross functional collaboration. Analyzed customer behavior and workflow data, informing onboarding, search, notification, and reporting priorities. Maintained feedback repositories combining support cases, interviews, sales input, and usage patterns. Defined event tracking requirements with engineering and validated analytics instrumentation before releases. Created reports covering activation, feature usage, retention signals, and operational issues without vanity metrics. Supported enterprise workflow market research , summarizing customer expectations and emerging automation capabilities. Facilitated release readiness checklists across product, engineering, support, and go to market teams. PROJECTS Responsible AI Evaluation Program 2026 Built a practical evaluation approach for AI product changes, covering answer quality, groundedness, safety, latency, task completion, fairness, explainability, privacy, and human review. Recruiter Workflow Intelligence 2025 Shaped recruiter focused experiences combining conversational assistance, candidate recommendations, workflow automation, communication drafting, and decision support around trusted customer needs. Enterprise Adoption Analytics 2023 Created an outcome view for activation, repeat usage, workflow completion, retention, customer feedback, support signals, and account level adoption. LEADERSHIP & AWARDS Recognized by product and engineering leaders for launching trusted conversational recruiting experiences. Selected to present responsible AI evaluation practices during executive product reviews. Earned stakeholder recognition for connecting customer evidence with practical roadmap decisions. EDUCATION Bachelor of Science in Business Administration, Information Systems Concentration North Carolina State University GPA: 4.0 2017 Raleigh, NC Coursework: Product management, information systems, business analytics, database management, organizational behavior CERTIFICATIONS Pragmatic Institute Product Management Certification 2022 Microsoft Learn Generative AI Fundamentals 2025 Responsible AI Foundations, edX 2026 TECHNICAL SKILLS AI Product Technologies: Generative AI, conversational AI, AI assistants Machine Learning: Large language models, machine learning, recommendations AI Evaluation: Groundedness, safety evaluation, task completion Prompt Engineering: Prompt design, prompt testing, model comparison Workflow Products: Workflow automation, approval workflows, notifications Product Analytics: Activation analytics, adoption dashboards, retention analysis Research Methods: Customer interviews, usability testing, market research Experimentation: Controlled experiments, hypothesis testing, qualitative evidence Responsible AI: Fairness, explainability, transparency Privacy And Compliance: Privacy reviews, data use, AI regulations Enterprise Security: Security reviews, permissions, auditability Product Delivery: Roadmaps, launches, go to market SKILLS Product strategy Roadmap development Prioritization B2B SaaS HR technology Generative AI Conversational AI AI assistants Agentic workflows Large language models Machine learning Prompt engineering AI evaluation Customer research Product analytics PROFESSIONAL AFFILIATIONS Member, Product Development and Management Association, focused on product leadership and professional growth. Member, Association for Talent Acquisition Professionals, supporting HR technology and recruiting innovation. LANGUAGES English (Native) Spanish (Intermediate) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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