[Hiring] Growth Equity Analyst @Turing

Role Description

Turing is looking for Growth Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in evaluating high-growth companies, revenue scaling analysis, and minority/majority investment structuring to evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

What Does Day-to-Day Look Like:

• Evaluate LLM models on growth equity topics such as growth-stage company valuation, unit economics analysis, and investment memo writing.
• Create rubrics to assess model capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds.
• Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Qualifications

• 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage VC, or growth-focused PE funds).
• Strong grasp of growth-stage valuation, unit economics, scaling metrics, and investment structuring for minority and majority stakes.
• Excellent written English communication.

Requirements

• Bonuses (Not at All Necessary):
• CFA (Level I/II/III), MBA in Finance, or experience in high-growth operating roles.

Benefits

• Work on the cutting edge of AI and finance.
• Fully remote and flexible work environment.
• Competitive hourly compensation of ~$100+/hour depending on experience.

Company Description

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways:

• Accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents.
• Applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.