Account Executive (San Francisco)

🏢 Appen · 📍 San Francisco, California · 💼 hybrid · ⏰ Permanent - Regular Full-time 💰 $150,000 - $200,000 / yr

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Position Summary & Responsibilities

About the Role

Appen's Go to Market team sits at the center of the company's growth strategy, partnering with the world's most ambitious AI programs to deliver the data that makes models work. This role will focus on developing new business with strategic customers across Big Tech, AI Labs, and Enterprise AI adopters.

This is a high-visibility commercial role for a business development professional who understands the AI industry and can identify opportunities, build relationships, and turn customer needs into strategic partnerships.

Location and Work Arrangement

This role is based in the San Francisco Bay Area. You'll be expected to meet clients in person and be comfortable building relationships through regular face-to-face meetings.

Your Impact

You'll own end-to-end sales cycles with both research-led AI labs and enterprise buyers, from discovery and qualification through commercial negotiation and contract execution, working from well-developed territory and account plans.

You'll stay multi-threaded across research, buying, technical, and operational stakeholders, positioning Appen's portfolio as the partner of choice by mapping capabilities directly to each client's AI program priorities. Expect to craft compelling business cases and proposals, and to run regular Executive Business Reviews to keep clients aligned on strategic goals and surface new partnership opportunities.

Pipeline comes from outbound account-based strategies run in partnership with Marketing, backed by strong CRM discipline and accurate,

🎯 Candidate Preparation Guide For Appen Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Focuses on global scalability, meticulous management of distributed human-in-the-loop workforces, and AI data quality control.

📋 Preparation Priorities (Key Areas to Clarify):

1. Ignoring the ethical and operational complexities of managing global contractor workforces
2. Treating data labeling as a purely automated problem without human nuance
3. Inability to handle massive volume scale and asynchronous communication challenges

✨ Recommended Role Alignment Hook:

I build robust operational frameworks that ensure AI training data is ethical, scalable, and exceptionally high-fidelity.

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