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Aquifer

Development Manager

Aquifer

. Ensure engineering executes the cadence necessary to deliver roadmap commitments set by the Lead Product Manager .

Posted 10/23/2026full-timeRemote • New Hampshire • United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
RubyRuby on Rails

About the role

Key responsibilities & impact
  • Ensure engineering executes the cadence necessary to deliver roadmap commitments set by the Lead Product Manager
  • Own engineering scorecard metrics for quality and delivery
  • Directly manage all engineers, including pod tech leads, covering performance, career development, hiring, and day-to-day support
  • Provide meaningful roles and assignments through talent and capability mapping
  • Own engineering capacity planning and translate roadmap commitments into realistic delivery plans
  • Own release reliability and production quality across both pods
  • Participate in engineering planning at every cadence
  • Lead adoption of AI development best practices with the Technical Architect
  • Support and grow the existing Rails-based product with attention to technical sustainability and delivery cost
  • Partner with the Lead Product Manager and tech leads on cross-functional delivery planning

Requirements

What you’ll need
  • Proven experience managing engineering teams, engineering managers, or senior individual contributors — ideally in a Ruby on Rails environment
  • Track record of owning delivery commitments and release quality for a live SaaS product
  • Experience managing distributed or multi-site engineering teams
  • Demonstrated ability to evaluate the technical judgment and output of senior or staff-level engineers
  • Comfortable setting and enforcing technical and process guardrails for AI-assisted software development
  • Experience running structured capability assessments is a plus
  • Working familiarity with Jira/Confluence

Benefits

Comp & perks
  • Non-profit mission-driven work
  • Remote work arrangement
  • Career development and growth opportunities
  • AI development best-practices learning and adoption opportunities