Senior Technical Product Manager

Level is a learning technology company dedicated to helping students build real academic and life skills with confidence and joy. We combine proven curriculum principles with world class interactive design to make meaningful practice something students want to come back to, not something they struggle through.

We support what teachers, schools, and parents are already doing by increasing student engagement with high quality, standards aligned practice that reinforces classroom learning. That’s why we’re building:

• →

• 6+ years of experience in product management, with at least 3 years in a technical product management role at a software or technology company.

• Demonstrated ability to work directly with engineering teams and engage fluently in technical conversations around architecture, APIs, data models, and system design.

• Strong track record of owning and delivering complex software products end to end, from discovery through launch and iteration.

• Proficiency in agile methodologies and tools (Jira, Linear, Shortcut, or equivalent), with hands-on experience leading sprint ceremonies and managing backlogs.

• Experience defining and tracking product KPIs, with comfort using analytics platforms (Mixpanel, Amplitude, Looker, or equivalent) to inform decisions.

• Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts for non-technical audiences and vice versa.

• Proven ability to manage competing priorities, navigate ambiguity, and drive alignment in a fast-moving environment.

• Strong judgment in making trade-off decisions across scope, quality, and timelines.

• Background in software engineering, data science, or a related technical discipline.

• Experience building and managing developer-facing products, APIs, or platform/infrastructure features.

• Familiarity with cloud infrastructure concepts (AWS, GCP, Azure) and how they influence product architecture decisions.

• Experience working in a B2B SaaS or enterprise software environment.

• Exposure to AI/ML product development, including working with model teams or integrating LLM capabilities into products.

• Knowledge of data privacy regulations (GDPR, CCPA) and their product implications.

• Experience with design tools (Figma or equivalent) and a working familiarity with UX principles.

• Proven success launching products in a 0-to-1 or early-stage environment.

• Public-facing portfolio work, conference talks, or writing that demonstrates product thinking and communication skills.