How to sell to Heads of People at AI & machine learning companies

What actually hurts

• high turnover in tech roles
• struggles with skill shortages
• challenges in compliance with AI regulations
• difficulty integrating AI into workforce

The playbook

1. 01

   Identify skill gap initiatives

   Research recent announcements from AI companies regarding upskilling or reskilling programs for employees. Use platforms like LinkedIn or company press releases to find organizations that have publicly committed to bridging skill gaps in machine learning. This indicates a readiness to discuss talent solutions.

2. 02

   Analyze retention challenges

   Look for data on turnover rates in AI & machine learning sectors, particularly in roles involving LLM or AI agents. If a company has experienced high turnover, it’s likely they are seeking solutions to improve employee satisfaction and retention. Tailor your outreach to address these specific pain points.

3. 03

   Monitor AI adoption trends

   Track companies that have recently integrated AI tools into their operations. Use news articles or industry reports to identify these firms. Reach out to discuss how your expertise can help them manage the associated talent and training challenges that come with new technology adoption.

4. 04

   Offer insights on compliance

   Identify firms facing challenges with compliance related to AI usage and employee data. Research recent regulatory changes in AI and machine learning that impact workforce management. Position your outreach to highlight how you can help navigate these complexities, making your approach relevant and timely.

5. 05

   Engage with diversity initiatives

   Find companies that have recently launched diversity and inclusion initiatives within their talent acquisition strategies. Use LinkedIn or corporate social responsibility reports to identify these efforts. Discuss how your solutions can enhance their programs and improve overall workplace culture.

Subject lines that fit

• Improving retention in AI teams
• Tackling skill gaps in machine learning
• Navigating AI compliance challenges

Questions

Why do Heads of People in AI ignore outreach about generic talent solutions?

Heads of People in AI are inundated with generic pitches that don't address the specific challenges of their industry. They need solutions tailored to the unique skill sets and compliance issues associated with AI and machine learning, making it crucial for outreach to demonstrate a deep understanding of these nuances.

What triggers a response from Heads of People in AI?

A well-researched outreach that speaks directly to their current challenges, such as high turnover rates or the need for specialized training in machine learning, is more likely to elicit a response. Demonstrating knowledge of their specific context and offering actionable insights can create a compelling reason for them to engage.

How can outreach be more effective for AI talent leaders?

Outreach should focus on the unique intersection of talent management and technology within the AI sector. Providing case studies or insights on successful talent initiatives in similar firms can resonate more with Heads of People, as they seek proven solutions that align with their strategic goals.

What common objections do Heads of People in AI have?

Common objections include concerns about the relevance of a solution to their specific industry challenges, skepticism about the effectiveness of proposed initiatives, and the perceived complexity of integrating new systems into existing workflows. Addressing these objections with tailored insights can help overcome initial resistance.