Treasure Data:

At Treasure Data, we’re on a mission to radically simplify how companies use data and AI to create connected customer experiences. Our intelligent customer data platform (CDP) drives revenue growth and operational efficiency across the enterprise to deliver powerful business outcomes.

We are thrilled that Forrester has recognized Treasure Data as a Leader in The Forrester Wave™: Customer Data Platforms For B2C. It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities.

Furthermore, Treasure Data employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

Your Role:

As a Manager, Software Engineering - AI you will lead a high-impact backend team to deliver reliable, scalable services that power customer-facing experiences. You’ll manage and grow a team of engineers, partner closely with Product and cross-functional peers, and stay hands-on enough to guide technical direction, unblock work, and uphold engineering quality.

Responsibilities & Duties:

  • Manage 2-5 team members, setting clear expectations, providing constructive feedback, and handling difficult management situations
  • Work with Product and other engineering teams to focus the team on high customer value projects.
  • Actively coach the people you work with to grow each member's communication, collaboration, and self-management capabilities.
  • Establish and encourage networks of communication. An Engineering Manager should always look for opportunities for engineers to directly communicate and self-organize, within and across teams.
  • Work with technical leads and engineers directly to break down the roadmap and product requirements for delivery.
  • Assisting with production operations as part of our full team on-call rotation.
  • Assisting with system design activities, bringing an experienced perspective to discussions to make the right tradeoffs.
  • Help surface challenges and areas for improvement, assisting in driving our product roadmap

Required Qualifications:

  • A student of complex systems theory and how to build resilient and adaptive systems and teams.
  • Have experience working in highly distributed teams, across large time zone differences.
  • Have read and enjoyed books like "The Manager's Path", "Nonviolent Communication", "High Output Management", "A Philosophy of Software Design", and "Systems Performance."
  • 10 years of BE’s experience, with 3+ years in management
  • Hands-on manager who enjoys to code and pair with other engineers to help overcome challenges.
  • Experience building software with Ruby / Ruby on Rails

Physical Requirements:

3 Days in Office

Travel Requirements:

May require Less than 5% travel for team meetings.

Our Dedication to You:

We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.

Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it.

Agencies and Recruiters:

We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!

About Treasure Data

Treasure Data provides global brands the trusted data foundation and intelligence to know and engage every customer with hyper-personalized experiences. The company’s Intelligent CDP, AI Agent Foundry, and AI Marketing Cloud together form the AI-enabled marketing platform to help companies reduce total cost of ownership and power revenue growth through more relevant engagement and AI decisioning.

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