Growth Program Manager, Generative AI

To succeed as a Growth Program Manager at Scale AI, candidates should ideally have 3-5 years of experience in growth, product, or operations roles, or as a Software Engineer. A strong technical background is important, preferably with a degree in STEM and the ability to perform data analytics using SQL or Python. Additionally, experience in operations-heavy business models is a plus, alongside an analytical mindset and problem-solving skills.

As a Growth Program Manager at Scale AI, your key responsibilities include driving critical growth projects, collaborating with various teams, developing growth strategies, overseeing growth operations, and addressing prominent challenges in the Generative AI space. You'll also be expected to enhance customer engagement through finely-tuned growth funnels and meet evolving market demands.

At Scale AI, we prioritize the growth and development of our employees. As a Growth Program Manager, you'll have access to a learning and development stipend to pursue training and educational opportunities. This investment in your professional journey reflects our belief in the importance of continuous learning and adaptation within the fast-paced AI industry.

The company culture at Scale AI emphasizes inclusivity, collaboration, and innovation. As a Growth Program Manager, you'd be part of a supportive team that encourages open communication, diverse perspectives, and experimentation. We believe that fostering a positive work environment enables our employees to contribute their best work while thriving in their careers.

Scale AI offers competitive compensation packages for the Growth Program Manager position, including a base salary range of $144,000 to $180,000 depending on location and experience. Additionally, eligible roles may receive equity and benefits, such as comprehensive health coverage, retirement plans, and generous PTO, all aimed at supporting your well-being and work-life balance.

When developing growth strategies for a new market, it's important to conduct thorough market research, identify target customer segments, and analyze competitors. A Growth Program Manager should leverage data analytics to find trends and insights that can inform tailored strategies, ensuring they meet both customer needs and business objectives.

In your answer, reference a specific project where you played a key role. Outline the objectives, your approach to project management—including collaboration with teams—and the measurable outcomes. This demonstrates your ability to drive results and your experience in managing complex projects effectively.

Discuss a specific challenge related to growth operations you encountered, detailing how you identified the issue, your analytical approach to solving it, and the final outcome. Highlighting problem-solving skills and resilience shows your capability to navigate difficulties effectively.

Success can be measured through various key performance indicators (KPIs) such as revenue growth, customer acquisition rates, and engagement metrics. Discuss your approach to selecting relevant KPIs and how you analyze data to assess the impact of growth initiatives effectively.

Mention specific tools or platforms you're proficient in, such as SQL, Python, or data visualization software. Explain how you've utilized these tools in your previous roles to drive decisions or improve growth strategies, showcasing technical skills and analytical capability.

Prioritization should be based on factors such as potential impact on revenue, alignment with company objectives, and required resources. Explain a framework you use—like the Eisenhower matrix or a scoring system—to assess and prioritize projects effectively.

Discuss specific instances where you've collaborated with different departments, like engineering or marketing. Highlight how you ensured effective communication, shared goals, and a unified approach, demonstrating your teamwork and leadership skills.

Tailor your answer to reflect your unique qualifications, experience in growth and operations, and understanding of the AI landscape. Discuss your entrepreneurial mindset, adaptability, and how your values align with Scale’s mission and culture, making you an excellent cultural fit.

Mention specific resources you regularly check, such as industry publications, podcasts, webinars, or networking events. Showcase your commitment to ongoing learning and staying relevant in such a fast-evolving field like Generative AI.

Address how you embrace ambiguity by using data to guide decisions, fostering a culture of experimentation, and ensuring your team remains agile. Highlight your ability to lead projects and adapt as new information arises, critical skills for thriving in uncertain environments.