Intelligence Products and Systems Manager

Job not on LinkedIn

🔥 2 minutes ago

🌐 Costa Rica, El Salvador, +4 more countries – Remote

🇨🇷 Costa Rica – Remote 🇸🇻 El Salvador – Remote 🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇬🇹 Guatemala – Remote 🇳🇮 Nicaragua – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👔 Manager

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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World Business Lenders, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🤝 B2B

💳 Fintech

Finance • B2B • Fintech

World Business Lenders, LLC is a direct lender that specializes in providing real-estate secured business loans to small-to-medium-sized businesses. The company focuses on serving under-served businesses that lack access to traditional funding, facilitating access to capital for business expansion and growth. With a strong management team experienced in financial services, World Business Lenders offers working capital solutions to foster the development of successful small businesses.

📋 Description

• Manage, coach, and develop two Team Leads and four Analysts • Own and prioritize product roadmaps based on user needs, business value, feasibility, data readiness, operational risk, and capacity • Own the product portfolio and resource plan; hire, assess performance, develop Team Leads, and build succession coverage • Maintain hands-on involvement in priority delivery • Oversee product discovery, prototyping, acceptance, deployment into business use, monitoring, improvement, and retirement • Ensure products integrate into business processes, support human oversight and user adoption, and deliver measurable outcomes • Own product acceptance against agreed criteria and coordinate user enablement with Business Applications • Develop product business cases and lead discovery through adoption • Use evidence of value, feasibility, and risk to recommend which products to fund, scale, improve, or retire • Establish controls for evaluation, documentation, explainability, privacy, security, change control, monitoring, and responsible use • Coordinate required independent validation and business approval separately from development and product acceptance • Own product performance monitoring, exception triage, escalation, and corrective-action follow-through • Route model issues to Data Science, data issues to Data Engineering, and software defects to Software Engineering • Coordinate user communication with Business Applications • Review product outcomes with senior business leaders, challenge weak performance evidence, and adjust priorities and controls

🎯 Requirements

• Relevant education or professional training in computer science, engineering, data science, mathematics, product management, or a related technical discipline is valued; a degree is not mandatory • Twelve or more years of progressive experience across applied AI/ML, data science, software, analytics, decision systems, or technical product development • At least five years of people leadership and meaningful experience leading Team Leads, managers, or senior technical/product staff • Demonstrated delivery of AI-enabled or model-driven capabilities into real production use • Demonstrated success building, scaling, or materially improving an applied intelligence, AI product, decision-product, or technical product capability • Ability to coach Team Leads, develop technical/product talent, own and prioritize a portfolio, write clear product requirements and acceptance criteria, and deliver usable production products with cross-functional teams • Experience making funding, sequencing, and trade-off decisions with senior business leaders • Recent hands-on product and technical delivery; this is not a management-only role • Experience taking AI-enabled or analytical products from ambiguous business problem through discovery, business case, prototype, requirements, acceptance criteria, production launch, user adoption, monitoring, and iterative improvement • Experience with modern AI product development and evaluation, including model selection, API-based AI services, structured evaluation, retrieval/grounding, LLM workflow design, human-in-the-loop controls, and production observability • Meaningful applied AI experience beyond generative AI • Experience building decision-support or decisioning products combining data, calculations, rules, models, external data sources, and software • Broad applied AI experience with predictive machine learning, rules and decision engines, optimization, document understanding/extraction, NLP, generative AI/LLMs, retrieval, agents or tool-using workflows, and hybrid human-in-the-loop systems • Demonstrated production integration, monitoring, user adoption, and measurable business outcomes for AI-enabled or model-driven products • Understanding of model and product risk, evaluation design, explainability, privacy, security, data quality, access controls, monitoring, drift or degradation, exception handling, human oversight, and responsible use • Ability to communicate technical choices and risk clearly to senior business leaders and translate business requirements into precise direction for data science and engineering teams • Ability to distinguish product ownership from data science and software engineering ownership • Ability to lead product discovery, develop prototypes, evaluate applied AI approaches, define product behavior and acceptance criteria, challenge model evidence, and investigate performance issues • Ability to build a durable organization through hiring, coaching, delegation, roadmap discipline, standards, performance management, and development of Team Leads • Experience in lending or financial services, business-user support, and data reconciliation preferred

🏖️ Benefits

• Compensation in USD • Paid time off (PTO) • Fully remote work environment