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7 дней назад

Product Manager - Sustainability (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager - Sustainability (AI) (Utilities and AI): Transforming building energy and utility data into sustainability outcomes while shaping product direction, roadmaps, requirements, and customer validation with an accent on Building Performance Standards, ESG metric verification, and AI-augmented product workflows. Focus on designing multi-step prompts, integrating LLM and agentic systems, evaluating AI outputs for hallucinations and bias, and improving product delivery efficiency.

Location: United States; remote workplace. Domestic travel is required for client meetings, industry events, and company gatherings.

Company

hirify.global's Customer Operations – Utilities department develops solutions that transform building energy and utility data into sustainability outcomes.

What you will do

  • Support long-term product strategy, vision, roadmap discussions, and product performance measurement.
  • Conduct customer research, interviews, market validation, and analysis to inform product decisions.
  • Define and prioritize backlog items and draft epics, user stories, and detailed requirements.
  • Collaborate with Product, Engineering, Marketing, Sales, and Services on product delivery and go-to-market activities.
  • Support sales and services training, feature-request evaluation, and implementation improvements.
  • Apply AI tools, prompting, workflow automation, and agent-based systems to improve research, analysis, and product delivery.

Requirements

  • At least 2 years of product management or related software-industry experience, plus a bachelor's degree, advanced degree, or equivalent experience.
  • Intermediate understanding of product management principles, customer needs, product documentation, backlog refinement, and cross-functional collaboration.
  • Advanced expertise in multi-step prompting, context engineering, and AI-augmented workflows.
  • Working knowledge of transformer-based LLMs, attention mechanisms, tokenization, context windows, RAG, and common model failure modes.
  • Experience integrating LLMs with APIs, vector databases, code execution environments, or agentic systems.
  • Ability to evaluate AI outputs for drift, hallucinations, bias, and inefficiencies while protecting proprietary and personally identifiable information.

Culture & Benefits

  • Remote work environment with collaboration across Product, Engineering, Marketing, Sales, and Services.
  • Fast-paced environment requiring effective prioritization, deadline management, and professional stakeholder communication.
  • Domestic travel for client meetings, industry events, and company gatherings.

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