7 дней назад
Product Manager - Sustainability (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
'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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