1-3 years of experience in consulting, operations, strategy, or product management
Strong problem-solving skills with clear communication abilities
Excellent attention to detail while maintaining a holistic view
Ability to navigate ambiguity and propose actionable solutions
Genuine interest in understanding AI technologies and their applications
Collaborative team player capable of building quick trust with clients
Bonus: exposure to AI, data operations, or tech sectors
Responsibilities
Support end-to-end delivery of enterprise AI projects
Document client pain points and prioritize organizational needs
Translate client feedback into actionable plans for engineering
Define and drive projects in ambiguous problem spaces
Refine marketing messaging based on customer insights
Contribute to internal process improvements and frameworks
Stay updated on AI and data operations trends for client conversations
Benefits
Medical, dental, and vision coverage
401(k)
Monthly meal stipend
Strong in-office culture
Opportunity for equity participation
Full Job Description
About the Role
As an Enterprise AI Associate, you'll work at the intersection of customer engagement, product management, and go-to-market operations - helping Mercor's largest enterprise customers successfully deploy and scale AI solutions. This role is built for someone with a structured, analytical mindset who thrives on high agency, moving quickly, and taking ownership of ambiguous problem statements. You'll be embedded in active customer engagements, working alongside senior Enterprise leads in conversations with senior stakeholders about their top organizational AI priorities and pain points, and translating those needs into engagement delivery. You will play a critical part in shaping our offerings by supporting our go-to-market motion, brand positioning, and relaying customer feedback to engineering.
What You'll Do
Support the end-to-end delivery of enterprise AI engagements - scoping workstreams, tracking milestones, and coordinating across internal and client-side stakeholders
Join client meetings to document AI pain points, synthesize top organizational priorities, and identify specific workflows where Mercor can drive value
Translate qualitative client feedback and edge cases into structured execution plans, working directly with engineering teams to shape new AI agent capabilities
Step into ambiguous problem spaces - scope unowned internal initiatives, define clear goals, and drive projects forward when there is no established playbook
Refine go-to-market messaging and sales collateral - converting real-world customer interactions into updated pitch decks, company blurbs, and brand positioning
Contribute to internal process improvements - building playbooks, templates, and frameworks that make the team more effective at scale
Stay current on trends in frontier AI, enterprise AI deployment, and data operations to bring an informed perspective to client conversations
What We're Looking For
1-3 years of experience in management consulting, operations, strategy, product management, or a similarly structured analytical environment
Strong ability to break down complex problems, structure work plans, and communicate findings clearly to diverse audiences
Excellent operational instincts - you track details without losing sight of the bigger picture
Comfortable navigating ambiguity and proposing solutions when there's no clear playbook
Genuine intellectual curiosity about AI - you don't need to be an engineer, but you should want to understand how these systems work and why they matter
Collaborative by nature, with the ability to build trust quickly with both clients and internal teammates
Bonus: prior exposure to AI, data operations, or technology-adjacent work
How You Work
High-agency operator: you proactively insert yourself into undefined challenges
Structured thinker: you approach messy problems with frameworks and clear hypotheses
Strong communicator: you write and speak with precision, adjusting your style for technical and non-technical audiences
Delivery-oriented: you take ownership of workstreams and see them through to completion
Curious and adaptable: you learn quickly and bring energy to new domains
Nice to Haves
Experience in strategy consulting at a top-tier firm, particularly in technology sectors
Prior exposure to enterprise AI or SaaS commercial motions
Background in venture capital or private equity with client-facing responsibilities
Compensation and Benefits
Competitive salary and bonus earning potential + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
