Senior AI Product Manager, Context Engineering

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $125.3k - $154.1k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏥 Healthcare

📦 Logistics

✈️ Travel

💰 $310M Post-IPO Debt on 2020-06

Healthcare • Logistics • Travel

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• 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

• 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

• 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