Mercor Logo

Mercor

Enterprise AI Associate

Reposted 2 Months Ago
In-Office
San Francisco, CA, USA
110K-150K Annually
Junior
In-Office
San Francisco, CA, USA
110K-150K Annually
Junior
The Enterprise AI Associate will engage with customers, support AI solution deployment, and translate feedback into structured plans while collaborating with engineering teams and refining marketing strategies.
The summary above was generated by AI
About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

 

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.

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)

  • Medical, dental, and vision coverage

  • 401(k)

  • Monthly meal stipend

  • Excellent in-office culture

HQ

Mercor San Francisco, California, USA Office

San Francisco, California , United States, 94105

Similar Jobs

9 Days Ago
Hybrid
San Francisco, CA, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, develop, deploy, monitor, and maintain AI-enabled enterprise and cloud security solutions. Build machine learning workflows, data pipelines, and scalable security capabilities using Python, Java, TensorFlow, and related libraries. Analyze security risks and data quality, translate technical findings into client recommendations, support security controls across cloud and infrastructure environments, review deliverables, and mentor junior team members.
Top Skills: Artificial IntelligenceAWSCloud SecurityData PipelinesDatabricksEnterprise SecurityGCPJavaMachine LearningMachine Learning LibrariesAzurePythonSnowflakeTensorFlow
Yesterday
In-Office
186K-401K Annually
Entry level
186K-401K Annually
Entry level
Cloud • Information Technology • Consulting
Lead consulting engagements for major accounts, developing AI-enabled enterprise networking and technology transformation solutions. Build CXO-level relationships, shape strategic change agendas, drive business development and revenue growth, negotiate scope and fees, manage margins, and oversee multidisciplinary delivery teams. The role also requires thought leadership, innovation, talent development, customer satisfaction, and execution of Kyndryl’s consulting strategy.
Top Skills: Artificial Intelligence (Ai)Enterprise Networking
2 Days Ago
In-Office
157K-257K Annually
Expert/Leader
157K-257K Annually
Expert/Leader
Biotech • Pharmaceutical
Owns the strategy, roadmap, delivery, and adoption of enterprise AI platforms and tools. Translates business needs into technical requirements, leads AI platform development, and partners with engineering and business teams on production deployments. The role includes forward-deployed engineering, prototyping, agentic AI integrations, evaluation, observability, governance, and reusable architecture development. It requires strong product leadership, deep generative AI expertise, hands-on technical ability, and 10+ years of progressive technical product management experience.
Top Skills: Agent-To-Agent (A2A) ProtocolsAgentic AiAi EvaluationAi ObservabilityArtificial IntelligenceAutomation PipelinesAWSAzureContext EngineeringData PipelinesEmbeddingsFine-TuningFoundation ModelsGenerative AiGoogle Cloud Platform (Gcp)Large Language ModelsLlmopsMachine LearningMlopsModel Context Protocol (Mcp)Model ServingPrompt EngineeringRetrieval-Augmented Generation (Rag)Search And RankingVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account