Salary
💰 $132,000 - $185,000 per year
About the role
- Develop go-to-market strategies for AI solutions and team augmentation services
- Identify market opportunities and competitive positioning in the AI/automation space
- Create scalable frameworks for client acquisition and retention
- Design growth experiments and measure performance against key metrics
- Lead consultative sales processes for complex AI implementations
- Conduct needs assessments to identify automation opportunities within client organizations
- Present AI use cases, ROI projections, and implementation roadmaps to C-level executives
- Collaborate with technical teams to scope AI projects and define success metrics
- Navigate complex enterprise sales cycles with multiple stakeholders
- Assess client staffing needs and recommend optimal team augmentation models
- Design hybrid workforce strategies combining full-time, contract, and AI-powered resources
- Develop pricing models and service packages for various augmentation scenarios
- Create onboarding processes that seamlessly integrate augmented team members
- Serve as trusted advisor to clients on digital transformation initiatives
- Facilitate workshops on AI adoption, change management, and team optimization
- Provide ongoing strategic guidance throughout client engagement lifecycle
- Identify expansion opportunities within existing client relationships
- Build and maintain relationships with key industry partners and vendors
- Represent the company at AI conferences, trade shows, and networking events
- Create thought leadership content around AI trends and team augmentation best practices
- Develop referral partnerships with complementary service providers
Requirements
- 5+ years in growth, business development, or strategic consulting roles
- 3+ years of experience selling AI/ML solutions, automation tools, or technology services
- Proven track record in team augmentation, staff augmentation, or workforce solutions
- Experience with enterprise B2B sales cycles ($100K+ deal sizes)
- Strong understanding of AI/ML technologies, use cases, and implementation challenges
- Familiarity with automation platforms, workflow tools, and integration capabilities
- Knowledge of various team augmentation models (offshore, nearshore, hybrid)
- Understanding of data privacy, security, and compliance requirements
- Experience with specific AI platforms (OpenAI, Anthropic, Google AI, AWS AI services)
- Background in management consulting or professional services
- Track record of successfully scaling teams from startup to growth stage
- Industry certifications in AI, project management, or sales methodologies