Strategic Product Manager

As a Strategic Product Manager at Scale, your main responsibilities include collaborating with cross-functional teams, developing actionable insights from competitive and market data, and enhancing existing products or creating new ones based on strategic customer needs. You’ll also manage technical stakeholders and contribute to data strategies that advance ML model development.

To be considered for the Strategic Product Manager role at Scale, you should have 4+ years of experience in a technical role, proficiency in SQL and other database languages, and a robust software engineering background, as this position involves some coding. Candidates with an entrepreneurial mindset and experience solving challenging problems in high-stakes situations will be favored.

The base salary for a Strategic Product Manager at Scale ranges from $164,000 to $196,800, depending on your location and experience. The compensation package is competitive and may include stock options, comprehensive health benefits, retirement plans, and other perks such as a learning stipend and generous PTO.

At Scale, we are committed to fostering an inclusive environment for all employees, including those applying for the Strategic Product Manager role. We believe in equal employment opportunity, regardless of race, gender, sexual orientation, or disability status, and we make efforts to accommodate applicants with disabilities throughout the application process.

In the Strategic Product Manager position at Scale, you'll be part of a collaborative work environment where creativity and innovation are encouraged. You will engage with diverse teams and stakeholders, allowing you to push the boundaries of ML development while working on high-impact projects.

Talk about specific projects where you collaborated with different departments, emphasizing your role in coordinating efforts, handling different viewpoints, and how your contributions led to successful outcomes.

Discuss your analytical methods and tools used to gather insights from market data. Highlight a situation where your findings impacted product strategy or development decisions and how that benefit clarified or improved the product's market position.

Consider discussing how you tailor your communication based on your audience, explain technical concepts in accessible terms, and share examples where you facilitated collaboration among diverse stakeholders.

Share your coding background and specific programming languages you've used. Illustrate how these skills have allowed you to better understand the technical aspects of product development and refine project requirements.

Highlight a situation where conflict arose, the steps you took to address the issue, and how your approach helped to navigate differing opinions while keeping the project on track.

Share specific details about the project, what challenges arose, how you addressed them, and the lessons learned that you can apply to future projects for improved outcomes.

Explain your methods such as using prioritization frameworks (like MoSCoW or RICE) and how you assess project impact on strategic objectives to ensure that critical tasks receive the attention they need.

Share your motivations for working in the ML and AI space, perhaps referencing specific projects, technologies, or the potential impact of these innovations on various industries.

Talk about strategies you've employed to provide team members with learning opportunities and mentorship during projects, and how that has positively affected team productivity and morale.

Convey your passion for Scale’s mission, how your skills align with their needs, and what excites you about contributing to their innovative projects in the AI and ML industries.