Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана четко и дает практический опыт внедрения ИИ в крупных компаниях, но частые поездки и долгие дни у клиентов заметно влияют на образ жизни.
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Много поездокПонятная зона ответственностиВостребованный ИИОбучение на старте
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Deployment Strategist (Enterprise AI/NEXUS): Leading customer deployments by translating business decisions into prediction use cases, defining value metrics, and driving adoption with an accent on enterprise decision-making, applied machine learning, and customer value modeling. Focus on running discovery with senior stakeholders, reading backtests, connecting model lift to financial outcomes, and shaping expansion roadmaps while traveling to customer sites more than half the time.
Location: US (remote); travel to customer sites 50% or more of the time.
Company
hirify.global is an AI company developing NEXUS, a Large Tabular Model for enterprise decision-making, used by Fortune 100 companies.
What you will do
Run discovery with business and data leaders, mapping decision points to prediction problems, qualifying data availability, and prioritizing use cases by value and feasibility.
Write use-case briefs covering the business question, prediction target, data sources, baseline, success KPI, and customer-side owner.
Define deployment value before the build and sign it off afterward by translating model lift into dollars, hours, or risk.
Drive adoption by integrating models into customer workflows, training users, tracking usage, and removing blockers.
Maintain account roadmaps, qualify expansion opportunities, and hand them to the Account Executive with the business case prepared.
Partner with Forward Deployed Engineering, Product, Research, and leadership to unblock deployments and turn customer patterns into reusable playbooks.
Requirements
2–6 years in a customer- or client-facing role judged on outcomes, including consulting, technical sales, customer-facing data science, product, founding, or early-startup operating roles.
Working proficiency with a Python or SQL notebook; ability to explain prediction problems and read a backtest. This will be tested.
Ability to structure ambiguous problems on a whiteboard, write concise one-page briefs, and communicate confidently with senior stakeholders.
Evidence of quickly learning a domain or technology and building or shipping something.
Willingness to travel, work long customer days, and operate in ambiguity.
Humility and a team-first approach, including taking on unglamorous work when it advances the account.
Nice to have
Depth in one relevant industry: energy, financial services, insurance, shipping, retail, or private equity.
Previous exposure to applied machine learning, forecasting, or analytics products.
A second language used in business.
Culture & Benefits
Competitive base compensation plus equity in a Series A company valued at $1.4B.
Medical, dental, and vision insurance; company equipment; wellbeing, learning, and home office stipends.
Structured eight-week ramp covering NEXUS, prediction framing, and value modeling, followed by ownership of customer accounts.
Mission-driven culture valuing diversity of thought, humility, and bias toward action.
Remote role with travel to customer sites at least 50% of the time.
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