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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$170к-190к/год
$180к$220кмедиана$240к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $5.4к/мес ($3.7к - $5.8к)
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Зона ответственности в AI-продукте и его развитии описана четко, а миссия и возможности обучения выглядят привлекательно; ограничение для U.S. persons сужает круг тех, кто может рассматривать вакансию.
Ниже рынка
Только для U.S. persons
Четкая зона ответственности
AI для энергетики
Поддержка развития
Баланс работы и жизни
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Owner, AI Platform (AI/Data Science): Building and scaling AI capabilities for GridUnity’s intelligence platform with an accent on customer-valued use cases, model performance, explainability, and responsible AI governance. Focus on translating strategy into an outcome-based roadmap, managing the experiment-to-production lifecycle, and solving complex data, product, and stakeholder tradeoffs for utility customers.
Location: Remote; restricted to U.S. persons who are U.S. citizens, lawful permanent residents, asylees, or refugees.
Salary: $170,000–$190,000 annually in Tier 1 U.S. markets; $130,000–$150,000 annually in Tier 3 U.S. markets. Bonus offered.
Company
hirify.global provides interconnection life cycle management software for utilities, grid operators, policymakers, and energy developers, helping reduce grid interconnection processing times.
What you will do
Translate company and product strategy into a prioritized roadmap for AI deployment across hirify.global products.
Engage customers, validate AI use cases, and make build, buy, partner, sequencing, and pricing decisions.
Own the AI backlog, user stories, acceptance criteria, experiments, pilots, A/B tests, phased rollouts, and release readiness.
Partner with product, design, engineering, data science, customer success, sales, security, and operations teams.
Track model and business metrics, assess data quality and labeling needs, and course-correct initiatives that do not deliver value.
Set requirements for explainability, auditability, bias mitigation, privacy, monitoring, human review, fallback behavior, and AI risk controls.
Requirements
Degree in data science, computer science, statistics, engineering, or a related STEM field, or equivalent experience.
7+ years of experience in B2B SaaS software organizations, including 4+ years in a Product Owner role and 2+ years working on AI or data-heavy products requiring data science or analytics experience.
Track record of shipping products or feature sets used by real customers with measurable outcomes.
Strong understanding of the ML lifecycle, including data preparation, training, evaluation, deployment, monitoring, and drift.
Practical experience with LLMs and generative AI, including prompting, RAG, evaluation, cost and latency tradeoffs, and agentic workflows.
Senior-level autonomy, comfort with ambiguity, strong written and verbal communication, and ability to communicate technical and business topics.
Experience communicating with executive stakeholders and developing risk-mitigation and opportunity-securing pathways.
In-depth understanding of Agile software development and ability to manage multiple changing priorities.
Must qualify as a U.S. person under applicable federal law.
Nice to have
Energy or utility industry experience, including transmission planning or interconnection processes.
Culture & Benefits
Remote-first work with flexibility and work-life balance.
Professional development through training, mentorship, and career pathing.
Health, dental, and vision insurance from day one, plus disability and basic life insurance at no cost.
401(k) plan with a 4% match and flexible PTO.
Mission-driven work focused on improving the energy sector.
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