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17 часов назад

Product Engineer (Manufacturing)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US/Finland
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 Engineer (Manufacturing): Building and deploying configured manufacturing planning solutions, plugins, Python components, and integrations for US enterprise and mid-market customers with an accent on complex data modelling, constrained optimization, and production forecasting. Focus on leading requirements from presales through production, diagnosing optimization and forecasting results, and delivering measurable customer KPIs and SLAs across manufacturing sites.

Location: Must be based in the United States; regular domestic travel to customer sites and production facilities is required. This is a field-embedded, onsite role and is not remote.

Company

hirify.global provides planning software for retailers and manufacturers, covering forecasting, stocking, pricing, promotion, production, distribution, purchasing, and scheduling.

What you will do

  • Manage high-impact manufacturing deployments from presales through production and own measurable customer outcomes.
  • Build relationships across customer organizations, from C-suite stakeholders to planners and production supervisors.
  • Gather, workshop, challenge, and agree on end-to-end requirements to ensure the right solutions are developed.
  • Configure RELEX, build plugins and Python components, and develop integrations in live customer environments.
  • Work with central engineering to improve the core product when configuration or custom solutions are insufficient.
  • Own solution performance, customer KPIs, and SLAs until the deployment delivers measurable results.

Requirements

  • Strong Python and SQL skills, with sound data modelling experience across complex, multi-site data.
  • Knowledge of heuristics and constrained optimization, including the ability to analyze solver output and improve planning results.
  • Machine learning literacy sufficient to diagnose production forecasting issues and explain them clearly to customers.
  • Fluency with AI tools and interest in driving their adoption across a delivery organization.
  • Strong business acumen, ownership, ambiguity management, and the ability to connect technical work with financial impact.
  • Manufacturing, supply chain, or complex industrial operations experience, plus direct experience with US enterprise or mid-market customers in a technical or solutions role.

Culture & Benefits

  • Flexibility in how and where work is organized within the requirements of the field-embedded role.
  • Autonomy, ownership, flat hierarchies, and short decision-making chains.
  • Practical benefits supporting work, family, wellness, and everyday life.
  • Opportunities to grow in a fast-moving global company with a strong market position.
  • Work focused on reducing waste and improving sustainability.
  • Two paid volunteering days each year.

Hiring process

  • Apply for consideration for the US manufacturing engineering team.
  • US work authorization is required; visa sponsorship is not available now or in the future.

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