Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль в быстрорастущем финтехе даёт заметную ответственность за AI-проекты и работу нескольких команд, но культура срочности может означать высокий темп.
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Текст:
Hirify AI/Оригинал
TL;DR
AI Technical Program Manager (AI/Fintech): Driving AI initiatives from prioritization through deployment, adoption, and ownership across Engineering, Product, Data, FDE, AI Enterprise, and platform teams with an accent on technical planning, dependency coordination, and evaluation readiness. Focus on defining measurable outcomes, managing quality, latency, cost, and permissions risks, and establishing reliable support, monitoring, and maintenance ownership.
Location: Guadalajara, Mexico; hybrid work setup
Company
hirify.global is a hyper-growth Series C fintech building an AI-powered conversational financial companion for Latinos in the US, including remittances, credit, savings, and wallet services supported by crypto rails.
What you will do
Translate AI priorities into technical plans covering scope, requirements, milestones, success metrics, acceptance criteria, and owners.
Turn incomplete briefs into testable hypotheses, baselines, experiments, and measurable outcomes.
Coordinate dependencies and technical decisions across Engineering, Product, Data, FDE, AI Enterprise, and platform teams.
Manage execution, risks, blockers, escalations, and deployment readiness, including quality, latency, cost, and permissions.
Verify FDE integrations in receiving-team environments and secure ownership for support, monitoring, and maintenance.
Partner with AISec and the AI Governance Committee and turn lessons into reusable briefs, checklists, decision records, and handoff standards.
Requirements
Proven experience leading complex technical programs or software delivery across several teams, with examples of personal judgment, design contributions, decisions, and results.
Hands-on technical fluency in Python, SQL, APIs, authentication, Git, and testing.
Experience using at least one LLM SDK, such as OpenAI or Google, to prototype integrations and debug issues.
Understanding of data modeling, pipelines, and enterprise integration patterns.
Experience with tool calling, multi-step orchestration, state, structured outputs, human review, fallbacks, and useful evaluations.
Ability to assess quality, latency, cost, and permissions risks; establish baselines; validate assumptions through experiments; and balance sophistication with operational constraints.
Track record of translating between business and engineering teams, influencing without formal authority, mentoring others, and escalating decisions early.
Ability to provide examples of solution designs, evaluation decisions, or delivery outcomes; confidential work may be discussed without sharing proprietary material.
Nice to have
Applied LLM work used by real users.
RAG and vector database experience.
Experience deploying into environments owned by other teams.
Experience in regulated or data-sensitive settings such as fintech.
Experience with CX, support, or compliance metrics such as AHT, FCR, CSAT, and SLA.
Culture & Benefits
Competitive salary, initial stock options grant, and annual performance bonus.
Unlimited PTO and paid parental leave.
Hybrid work setup with health, dental, and vision plans.
Continuous learning opportunities and growth in an entrepreneurial environment.
Culture emphasizing customer focus, urgency, ownership, transparent collaboration, experimentation, and high standards.
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