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1 день назад

Implementation Lead / Program Manager (AI)

110 000 - 140 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Implementation Lead / Program Manager (AI): Owning enterprise scientific software implementations from scoping to go-live with an accent on phased planning, customer sign-offs, integrations, and AI-assisted configuration. Focus on coordinating cross-functional delivery teams, managing scope and risks across concurrent accounts, and translating complex R&D workflows into reliable platform rollouts.

Location: Onsite in New York, San Francisco, Munich, or London; salary information also lists Cleveland and Pittsburgh locations.

Salary: $110K–$140K in New York and San Francisco; $90K–$110K in Cleveland and Pittsburgh; €85K–€100K in Munich; £80K–£100K in London, plus equity and bonus.

Company

hirify.global builds a unified R&D platform used by chemists, materials scientists, and biologists to accelerate product discovery, development, and commercialization across chemicals, pharmaceuticals, advanced materials, and food and beverage.

What you will do

  • Own customer implementations from scoping through phased go-live, defining requirements, teams, workflows, deliverables, timelines, and post-sales commitments.
  • Run customer and internal status meetings, maintain written status reporting, manage stage gates and sign-offs, and control scope, hours, risks, change requests, and resourcing.
  • Plan and run onsite workshops, scope integration requirements, write actionable tickets, and coordinate integrations with ERP and other enterprise systems.
  • Manage Scientific Implementation Managers and Associates, coordinate implementation partners and system integrators, and drive effective use of AI agents for configuration and setup.
  • Partner with Account Managers on customer sentiment, escalations, future phases, go-live handoff, and Customer Success transition.
  • Improve scoping, estimation, reporting, and implementation playbooks based on lessons across accounts.

Requirements

  • 3+ years leading software implementations or digital lab rollouts, including end-to-end ownership of the plan, stakeholders, and outcome for at least some implementations.
  • Background in chemistry, materials science, biology, chemical engineering, or a related field sufficient to scope R&D workflows and work with PhD-level researchers.
  • Consistent project discipline across several concurrent projects, including status, risks, scope, and sign-offs.
  • Ownership and judgment to challenge unreasonable timelines, scope, or designs with customers and senior colleagues.
  • Existing use of AI tools and willingness to drive an AI-first delivery model in which agents perform a significant share of configuration and setup.
  • Clear, concise written and presentation communication for bench scientists, R&D directors, and IT leaders.
  • Comfort working in a fast-moving company where processes are still being built.

Nice to have

  • M.S. or Ph.D. in a scientific or engineering field.
  • Experience implementing ELN, LIMS, PLM, or other R&D data platforms on the vendor side or as a customer project lead.
  • Experience leading digital initiatives across multiple sites or regions, including onsite workshops with scientific teams.
  • Experience scoping ERP or other enterprise integrations and working with IT organizations.
  • Experience with implementation partners or system integrators.
  • Experience in a regulated or GxP-adjacent environment.
  • A second customer language such as German, French, or Spanish.

Culture & Benefits

  • High-impact product organization with real ownership from day one and direct exposure to company leadership.
  • Competitive base salary, performance bonus, meaningful equity, health and dental insurance, and 401(k) employer contribution for US locations.
  • Opportunity to shape an AI-first implementation delivery model and its playbook.
  • Exposure to varied R&D domains including coatings, polymers, food science, and pharma.
  • Growth path toward leading Implementation Program Managers or a broader delivery organization.

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