Manager II, Engineering

About this role:

As an Engineering Manager on the Connections team, you will lead engineers working on product areas that help people engage more meaningfully with others across our platform. You’ll partner closely with cross-functional leaders to shape strategy, drive execution, and build a healthy, high-performing team.

Responsibilities:

• Lead and grow a cross-functional engineering team working across user-facing product areas and the systems that support them.
• Set clear goals and drive execution against a roadmap aligned with broader product and business priorities.
• Partner with Product, Design, Research, and Data Science to shape strategy, prioritize opportunities, and deliver measurable outcomes.
• Create a strong team environment with clear expectations, healthy operating rhythms, high standards, and psychological safety.
• Coach and develop engineers across levels, helping them grow in scope, impact, and career progression.
• Support technical and architectural decision-making to ensure the team builds reliable, scalable, and maintainable systems.
• Use data, experimentation, and user insight to guide product and engineering decisions.
• Use AI to accelerate analysis, research, drafting, synthesis, and iteration, while applying strong judgment and verification to ensure quality and correctness.

Requirements:

• Experience leading engineering teams that build and ship consumer-facing products.
• Experience managing engineers across multiple levels and helping teams improve in effectiveness, quality, and impact.
• Strong people leadership skills, including coaching, feedback, performance management, and team development.
• Strong product sense and strategic thinking, with the ability to translate broad goals into clear priorities and execution plans.
• Solid technical foundation and the ability to engage in architecture, design reviews, and technical trade-offs.
• Proven ability to lead through ambiguity, align cross-functional stakeholders, and deliver meaningful results.
• Expertise in using data and experimentation to inform product and engineering decisions.
• Demonstrated ability to use AI to improve speed and quality in day-to-day work for relevant outputs.
• Strong track record of critically evaluating and verifying AI-assisted work through testing, review, or other quality controls.
• High integrity and ownership in using AI: you protect sensitive information, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Strong communication and collaboration skills, with experience working closely with Product, Design, Research, Data Science, and other engineering teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of software engineering experience, including 3+ years managing teams of 5+ engineers.