Appen

GTM Strategy & Enablement Manager (West Coast remote role)

United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Annotation, BiotechnologyIndustries

Go-to-Market Strategy & Enablement Manager

Employment Type: Permanent - Regular Full-time


About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. We leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. Our advanced AI-assisted data annotation platform is used to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems, and Appen is trusted by the world's largest technology companies. With the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments deploy world-class AI products with confidence.

At Appen, we are purpose-driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

Appen is committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Position Overview

We’re looking for a Go-to-Market Strategy & Enablement Manager to help shape how we land and expand our most strategic accounts and capture the next wave of growth in AI. This role is ideal for a former management consultant who wants to move beyond analysis and into direct impact—working on complex deals, driving cross-functional GTM initiatives, and influencing real revenue outcomes. You’ll partner with Sales, Product, Marketing, Strategy, and Leadership to craft winning account strategies, build tailored customer narratives, and scale what works across the organization.


Responsibilities

  • Drive GTM strategy for top enterprise accounts and AI/ML or generative AI use cases, aligning stakeholders across Product, Sales, Marketing, and the Exec team.
  • Serve as a strategic advisor on key deals—leading stakeholder mapping, account planning, opportunity analysis, and creating C-level pitch materials.
  • Build repeatable GTM frameworks, sales plays, and industry-specific toolkits that turn one-off wins into scalable programs.
  • Lead sales enablement initiatives that bring product strategy and value messaging to life for enterprise buyers.
  • Use customer segmentation, vertical insights, and account intelligence to influence territory strategy, campaign design, and messaging priorities.

Qualifications

  • 3–6 years in management consulting (e.g., McKinsey, BCG, Bain) or a strategic GTM/Revenue role supporting complex enterprise sales.
  • High curiosity and interest in AI and emerging tech, and how these technologies are transforming business.
  • Excellent structured thinking and communication skills—you’re confident turning complexity into compelling executive-ready narratives.
  • Strong collaboration and stakeholder influence skills across functions and seniority levels.
  • Self-starter mindset, with comfort operating in ambiguity and a fast-paced, startup-like environment.

Bonus Points

  • Experience in B2B SaaS, data/AI, or go-to-market roles in regulated industries like finance, healthcare, or public sector.
  • Familiarity with GTM tools such as Salesforce, Gong, Hubspot, or other platforms.

Salary & Location

  • Salary: $130,000 - $150,000 a year (Actual compensation will depend on factors such as skills, experience, and qualifications.)
  • Location Type: Not specified.

About Appen (Continued)

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd...

Skills

GTM Strategy
Enablement
Account Management
Cross-functional Collaboration
Strategic Planning
Business Development

Appen

Provides high-quality training data for AI

About Appen

Appen provides high-quality training data necessary for developing artificial intelligence (AI) systems, specializing in collecting and labeling data such as images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its global reach and extensive contractor network, allowing it to offer reliable data tailored to client needs. The goal of Appen is to enable organizations to create AI systems that perform various functions, enhancing the overall capabilities of AI technology.

Sydney, AustraliaHeadquarters
1996Year Founded
$358MTotal Funding
IPOCompany Stage
AI & Machine LearningIndustries
10,001+Employees

Benefits

Remote Work Options
Professional Development Budget
Flexible Work Hours

Risks

Increased competition from emerging data annotation startups threatens Appen's market share.
A major contract breach with Google highlights potential client relationship vulnerabilities.
Office closures in Toronto and Bellevue may impact operational capabilities and morale.

Differentiation

Appen specializes in high-quality training data for AI systems.
Appen offers multi-language database development for complex language technology needs.
Appen's Social Instinct platform moderates social media content in multiple languages.

Upsides

Appen raised $50 million to capitalize on generative AI opportunities.
Appen launched a solution for enterprises to customize large language models.
Appen recognized as a leader in data annotation by Everest Group in 2024.

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