Engineering Manager, Core

📋 Description

• • Lead a full-stack engineering team focused on building and scaling core product experiences for Enterprise customers, balancing steady product requests with multi-quarter strategic initiatives.
• • Manage and support engineers in a remote-first environment, fostering collaboration, growth, and high-performance execution across parallel workstreams.
• • Stay technically hands-on, contributing to codebase development, architectural decisions, and system design while maintaining deep familiarity with the product’s technical foundation.
• • Drive engineering execution for key focus areas including versioning systems, design system improvements, NPS enhancement, and scaling audit capabilities into internal audit workflows.
• • Promote and implement effective, safe adoption of AI tools in engineering workflows, helping the team develop practical processes for AI-assisted development.
• • Serve as a coach and operator for an established, high-functioning engineering team, enabling clarity, accountability, and continuous improvement.
• • Collaborate cross-functionally with product, design, and customer success teams to align engineering priorities with enterprise customer needs and business goals.
• • Evaluate and refine engineering processes to ensure scalability, reliability, and velocity in a fast-paced startup environment with evolving technical requirements.
• • Maintain technical proficiency in modern full-stack development stacks, including React, TypeScript, Postgres, and Hasura, and guide team members in best practices for these technologies.
• • Support the company’s core values by embodying fearlessness, ownership, inclusivity, and a commitment to delivering 11-star experiences in both product and team culture.
• • Contribute to strategic long-term platform investments that enhance the scalability and reliability of Fieldguide’s core infrastructure.
• • Balance 70% management responsibilities with 30% hands-on coding, ensuring leadership remains technically grounded while empowering team growth.
• • Help the team navigate complex, concurrent priorities with clarity and precision, prioritizing work that delivers maximum impact on enterprise customer trust and workflow efficiency.
• • Advocate for and model inclusive team dynamics, supporting diverse perspectives in problem-solving and decision-making to build better products and teams.
• • Act as a bridge between technical execution and business outcomes, translating enterprise customer feedback into actionable engineering roadmaps.
• • Maintain a strong AI-native mindset, exploring and integrating generative AI tools into development workflows while enforcing safety, quality, and governance standards.
• • Foster a culture of continuous learning and experimentation, encouraging the team to adopt new tools and techniques that improve productivity and product quality.
• • Work within a values-driven organization that prioritizes trust, empathy, and mutual success in all aspects of engineering and team leadership.