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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing enterprise data platforms and semantic layers, with a strong focus on generative AI, API products, and operational workflows. Proven ability to influence cross-functional teams and establish standards for data governance and security.
Highest-signal resume keywords
Senior-Level Product Management ExperienceDeep Understanding of Generative AIExperience with Structured Enterprise DataKnowledge of Row-Level Security (RLS)Exceptional Written and Verbal Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PlatformsEnterprise Search/Retrieval SystemsSemantic LayersSQL Query PlansNatural-Language QueryingEvaluation HarnessesError TaxonomiesQuantitative Quality GatesKnowledge GraphsVector Databases
Soft Skills
Exceptional Communication SkillsAbility to Influence Stakeholders
Tools & Technologies
API ProductsJSON/YAML ConfigurationsHeadless BIMetric StoresGoverned NL-to-SQL Products
Industry Keywords
PaymentsFintechHealthcare-Adjacent PlatformsRegulated EnvironmentsEnterprise Entity Resolution
Tech Stack
Tools & technologiesAssemblySQL
About the role
Key responsibilities & impact- Own the enterprise context layer powering WEX's global fleet of AI agents
- Partner with global product, engineering, and business leaders to prioritize and sequence context initiatives
- Own the semantic object roadmap for core enterprise entities, defining certified measures, join graphs, and Row-Level Security
- Establish standards for federated ingestion, chunking, caching, metadata, and citation enforcement
- Consolidate legacy knowledge APIs into unified, multi-tenant interfaces
- Design and deliver production-ready context packs for critical operational workflows and SOPs
- Inspect retrieval traces, debug failures, and optimize context consumption with agent teams
- Build and run evaluation harnesses, golden datasets, error taxonomies, and quality gates
- Embed auditability, data lineage, least-privilege access, and responsible AI guardrails into the context layer
- Track ROI through API cost reduction, task resolution lift, and operational risk mitigation
- Bridge unstructured knowledge, governed semantic data, and agent execution workflows across global teams
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience
- Senior-level Product Management experience owning data platforms, enterprise search/retrieval systems, semantic layers, API products, or internal developer platforms consumed by engineering teams
- Deep understanding of applied generative AI and agentic systems, including advanced RAG, embeddings, chunking, metadata management, grounding, and context window assembly
- Strong experience with structured enterprise data, relational models, certified metrics, and natural-language querying over raw database schemas
- Comfort inspecting retrieval traces, reading SQL query plans, reviewing JSON/YAML configurations, and executing API calls
- Experience designing and running evaluation harnesses, golden benchmark datasets, error taxonomies, and quantitative quality gates
- Working knowledge of authentication/identity, tenant isolation, Row-Level Security (RLS), audit logging, and data privacy
- Exceptional written and verbal communication skills in English
- Ability to align and influence global engineering, security, compliance, and executive stakeholders without direct authority
- Experience with Knowledge Graphs, ontologies, taxonomies, and enterprise entity resolution (MDM) is advantageous
- Familiarity with headless BI, metric stores, or governed NL-to-SQL products is advantageous
- Experience in payments, fintech, benefits, healthcare-adjacent platforms, or other highly regulated environments is advantageous
- Experience with vector databases, automated RAG evaluation frameworks, or agent tool protocols is advantageous
- Track record of consolidating or replacing legacy enterprise knowledge management or search systems in production is advantageous
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles