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2 дня назад

Solutions Engagement Manager (AI)

130 000 - 200 000$
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

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TL;DR
Solutions Engagement Manager (AI): Leading client-facing delivery of custom AI, machine learning, and data solutions for critical industries with an accent on translating business outcomes into technical direction, evaluating architectures, APIs, data pipelines, and ML deployments. Focus on coordinating complex multi-stakeholder initiatives, challenging low-value requests, and ensuring engineering deliverables create measurable business impact.

Location: Fully remote within the United States; travel to company summits twice per year is required. Applicants must be currently authorized to work in the United States on a full-time basis.

Salary: $130K–$200K annually, plus equity and bonus eligibility.

Company

hirify.global is a fast-growing, profitable startup building physics-informed machine learning and enterprise AI solutions for climate, sustainability, energy, utilities, real estate, logistics, and infrastructure challenges.

What you will do

  • Partner with clients to understand desired outcomes and translate them into actionable direction for engineering.
  • Lead engineers as the technical product manager for assigned accounts, defining what should be built, why it matters, and how success will be measured.
  • Review system architecture, data pipeline designs, API integrations, and technical requirements before engineering work begins.
  • Challenge unclear or low-value requests and connect project decisions to client and company goals.
  • Coordinate project delivery, including planning, stakeholder coordination, budget tracking, forecasting, and deliverable management.
  • Use and refine project management processes, tooling, and automation while holding development teams accountable for commitments and quality.

Requirements

  • 4+ years of project, program, and/or product management experience leading technology initiatives with mid- to large-size customers.
  • Hands-on experience working with or deploying AI, machine learning, or advanced analytics solutions, with the ability to translate between technical and business stakeholders.
  • Strong technical literacy in system architecture, APIs, data pipelines, and ML model deployment, while maintaining strategic oversight.
  • Proven experience delivering custom-built software and data solutions, rather than only SaaS deployments, with measurable business impact.
  • Domain expertise in at least one of energy, utilities, real estate, logistics, climate, or infrastructure, including understanding of related data, regulatory, and operational challenges.
  • Demonstrated success managing complex, multi-stakeholder initiatives in ambiguous and rapidly changing environments.
  • Familiarity with cloud-native environments such as AWS, GCP, or Azure, CI/CD pipelines, and modern software development practices.
  • Tenacious problem-solving ability and an outcomes-focused approach.

Culture & Benefits

  • Fully remote culture with a cluster of teammates in Seattle.
  • Competitive early-stage startup compensation based on capabilities, experience, and location.
  • Bonus eligibility and equity.
  • Health insurance with meaningful dependent coverage.
  • Flexible paid time off.
  • Travel to company summits twice per year.

Hiring process

  • Applicants who do not meet every qualification are still encouraged to apply.
  • Employment visa sponsorship or takeover of existing sponsorship is not available.

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