Federal & Public Sector Enterprise AI Client Partner — Enterprise AI Solutions & Strategy

We are seeking a detail-oriented Federal & Public Sector Enterprise AI Client Partner — Enterprise AI Solutions & Strategy ($220,000 - $400,000/year, 100% remote) to join ZR Talent Group. Contributors in this role draw upon real-world mastery of Client Acquisition, Outbound Prospecting, Enterprise partnerships, Enterprise AI to evaluate AI-generated deliverables, construct detailed grading rubrics, and guide post-training model alignment.

Prior experience building machine learning systems is not required—our research partners value authentic practitioner judgment, domain rigor, and clear analytical writing.

Key Responsibilities & Deliverables

• Identify, engage, and close opportunities across U.S. Government, DoW, and defense contractor ecosystems.
• Build trusted relationships with operators, program managers, and technical stakeholders in mission-critical environments.
• Translate real-world mission needs into AI-driven solutions that can be deployed in secure and constrained environments.
• Own the full deal cycle: from early discovery and stakeholder mapping through contract execution and expansion.
• Navigate government procurement processes, including working with primes, subcontractors, and acquisition pathways.
• Partner with internal product and engineering teams to align capabilities with mission requirements.
• Drive initial deployments and ensure successful adoption within operational workflows.
• Maintain clear pipeline visibility and provide insight into government demand signals and priorities.
• Help shape our defense GTM strategy, positioning, and early customer footprint.
• What We Look For
• Background in the U.S. military, Department of War, or broader U.S. Government ecosystem.
• Experience working at or with a defense contractor or defense tech company.
• Strong understanding of how government programs, procurement, and stakeholder dynamics operate.
• Ability to engage both technical and non-technical stakeholders in mission-driven environments.
• High ownership mindset with the ability to operate independently in an early-stage setting.
• Strong communication skills with the ability to translate between technical capabilities and mission outcomes.
• Hunger and drive to build—this is a hands-on role with significant growth potential.
• Preferred
• Demonstrated background in early-stage defense tech startups.
• Exposure to AI/ML, data systems, or autonomy in defense applications.
• Working knowledge of acquisition pathways (e.g., SBIR, OTA, IDIQ).
• Existing network within DoW, federal agencies, or defense primes.
• Prior experience supporting or leading government-facing sales efforts.
• Compensation & Benefits Notice
• The national pay range for this full-time position is base salary of $140,000 –$180,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. ZR Talent Group provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

Required Qualifications & Technical Criteria

• Demonstrated professional or advanced academic background in Client Acquisition, Outbound Prospecting, Enterprise partnerships, Enterprise AI.
• Strong analytical writing and critical evaluation skills in English.
• Self-directed work ethic suited for an asynchronous, 100% remote research environment.

Compensation, Remote Eligibility & Schedule

• Compensation Band: $220,000 - $400,000/year
• Work Model: 100% Remote / Work From Home with flexible asynchronous scheduling
• Eligible Remote Locations: United States, Canada, United Kingdom, Australia, New Zealand, Ireland, and South Africa
• Current Openings: 1 active specialist position
• Hiring Organization: ZR Talent Group
• Core Skills & Technologies: Client Acquisition, Outbound Prospecting, Enterprise partnerships, Enterprise AI