fintechaiproduct managementllmsaassoftware architectureproduct metricsmortgagecustomer research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$170к-250к/год
$170к$190кмедиана$220к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.7к/мес ($3.8к - $5.7к)
89
Крутая вакансия
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Роль дает понятную ответственность за продукт целиком на стыке ИИ и ипотечного финтеха, с активной работой с клиентами и инженерами; основные компромиссы - ежемесячные поездки и быстрый темп стартапа.
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Поездки каждый месяцПродукт под ключИИ в финтехеСильный соцпакет
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Technical Product Manager (AI) (AI-native mortgage automation): Owns end-to-end product development for reliable, mission-critical mortgage workflows, with an accent on LLM evaluation, customer discovery, technical prototyping, and product strategy. Focus on translating non-deterministic LLMs into dependable products, shaping architecture decisions, and driving measurable outcomes through launch and iteration.
Location: Remote within the United States, with approximately once-a-month domestic travel to customer sites and occasional additional trips around key milestones.
Salary: $170K–$250K annually; final compensation depends on hiring location and level.
Company
hirify.global builds AI-native tooling to automate mortgage workflows and replace outdated software used by mortgage lenders.
What you will do
Own the end-to-end product lifecycle for a product area, including discovery, definition, delivery, and iteration, in partnership with Engineering and Design.
Define requirements, evaluate tradeoffs, and set success criteria for turning non-deterministic LLMs into reliable, mission-critical mortgage automation.
Lead customer discovery with mortgage lenders, loan officers, and operations teams through interviews, workflow analysis, and evidence-based roadmap development.
Prototype product ideas using AI coding tools and technical expertise, and provide Engineering with concrete starting points.
Write product specifications and acceptance criteria, define success metrics, and drive post-launch iteration.
Represent the customer in architecture discussions, make scope decisions, and partner with Sales and Customer Success on positioning and deal cycles.
Requirements
Technical depth from software engineering experience or equivalent ability to read a codebase, prototype with AI coding tools, and contribute to architecture discussions.
Fluency with LLM concepts, including prompting, evaluations, retrieval, and fine-tuning, plus the judgment to apply them to reliable user-facing products.
Strong customer research skills, including interviewing users, synthesizing qualitative feedback, and turning direct user exposure into actionable insights.
Data fluency and the ability to use dashboards, quantitative data, and hypotheses to guide product decisions.
Exceptional written communication, including clear and concise specifications, documentation, and asynchronous updates.
Ability to build strong working relationships with engineers, understand technical tradeoffs, and earn trust.
Experience owning product metrics and using them to guide iteration.
Willingness to travel approximately once a month domestically within the United States, with occasional additional travel around key milestones.
Nice to have
Experience building B2B SaaS products in a regulated industry such as fintech, insurtech, healthcare, or a similar field.
Mortgage or lending experience.
Experience shipping in a fast-moving startup environment while managing ambiguity and making decisions without complete information.
Culture & Benefits
Remote-first culture with flexibility to work where productivity is highest.
Flexible time off with autonomy over time management.
Medical coverage with 100% of employee and family premiums covered.
Vision and dental coverage, 401(k), and HSA/FSA.
Access to a lender partner's employee loan program.
Collaborative, open communication-oriented environment focused on learning from decisions and moving quickly.
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