Tagup

Tagup

Partnerships Lead

New York, NY · Exec · Contract

No sponsorship$135k-$165kDetected 33 days ago
Machine LearningBusiness DevelopmentLogisticsProcurementLeadership

About the role

  • Primes, systems integrators, technology vendors, and logistics providers control much of the access, delivery capacity, and contract vehicles we need to scale.
  • Your job is to turn those relationships into pipeline, teaming wins, and delivered programs.

Responsibilities

  • Set and own the partnerships strategy: which partners matter, in what order, and why.
  • Build and run relationships with primes, integrators, technology vendors, and logistics providers, from first contact through signed agreement.
  • Drive capture and proposals through teaming strategy, partner coordination, and joint value propositions.
  • Work with engineering and product to scope integrations and keep partner commitments aligned with the roadmap.
  • Produce the partner-facing materials that carry the story: capability briefs, joint narratives, and go-to-market plans.
  • Tagup builds AI software for defense logistics and sustainment.
  • The Partnerships Lead owns Tagup's partner strategy across the defense, government, and industrial base.
  • You will work directly with our founders and leadership team, and you will build this function from the ground up.

Requirements

  • 8+ years in partnerships, business development, capture, or alliances, ideally in defense, government, or enterprise software.
  • Working knowledge of how defense and government buy: procurement pathways, contract vehicles, and the defense industrial base.
  • you can brief a general officer and a CTO in the same week.
  • A track record of building high-value external relationships and converting them into closed deals or won programs.
  • The ability to understand a technical product and translate it into partner and customer value.
  • Sharp commercial judgment: you read partner fit, delivery risk, and revenue potential quickly.
  • Excellent writing and executive presence
  • Comfort in a growth-stage environment where you build the playbook while you run it.
  • Willingness to travel as the work requires.
  • BA/BS required
  • advanced degree a plus.

Nice to have

  • Experience at a defense technology startup, prime contractor, or systems integrator.
  • Familiarity with AI/ML, predictive maintenance, logistics analytics, or sustainment systems.
  • An existing network across defense primes, integrators, or government program offices.
  • Equal opportunity and work authorization
  • Tagup is an equal opportunity employer.
  • Applicants must be authorized to work in the U.S. for any employer.
  • These tools assist our recruiting team and do not replace human judgment
  • final hiring decisions are made by people.

Skills

  • NDAs, teaming agreements, data-sharing arrangements, and reseller or delivery frameworks.

Compensation

  • The estimated salary range for this position is $135,000 to $165,000 annually, set against experience and qualifications.
  • Applicants must be authorized to work in the U.S. for any employer.
  • We are unable to sponsor or take over sponsorship of an employment visa at this time.
  • We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes.
  • These tools assist our recruiting team and do not replace human judgment; final hiring decisions are made by people.
  • Contact us for more information on how your data is processed.

Benefits

  • pipeline contribution, relationship health, and program outcomes.
  • Every team member shares in the company's growth through our Employee Stock Option Plan.
  • We also offer comprehensive health insurance, access to the company's 401(k), and regular company outings.

Company info

  • Our platform, Manifest, helps operators turn maintenance, supply, and operational data into faster, better-informed decisions.

Visa & Work Authorization

  • Equal opportunity and work authorization

This listing is sourced directly from Tagup's careers page and normalized into a canonical job model.