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Retain over 1 year ago
datadata🇺🇸 usa only🇺🇸 usa only
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< class="h3">About Retain.ai

Retain is the world's first customer insights engine. By sitting naturally in a team’s workflow, Retain enables companies to be strategically customer obsessed. We deliver a system that enables everyone responsible for engaging customers to make data-driven decisions and give a complete view across the entire customer lifecycle.

Retain powers enterprises like Salesforce, Indeed, and Snowflake. Our leadership team is composed of experienced founders from LiveRamp ($15M funding to $5B NYSE: RAMP), and early employees from Uber (NYSE: UBER), PagerDuty (NYSE: PD), C3 AI (NYSE: AI), Pluralsight, and UIPath.

We recently announced a $23M Series A with backing from Emergence Capital, Baseline Ventures, Upside Partnership, Afore Capital, and Industry Ventures. Gordon Ritter (an early investor in Zoom, Box, Veeva, and Salesforce) and Steve Anderson (first investor in Instagram, SoFi, PagerDuty, Heroku, StitchFix, and many others) sit on our board.

We are a remote-first company headquartered in San Francisco where our team of friendly and talented people often meet to create a great product!

You can learn more about our team and values here: https://www.retain.ai/careers

About the Role:

The Data Engineering team designs, builds, and operates data acquisition and transformation pipelines that enable Retain to capture user workflows at scale, model them to deliver value to customers, and apply advanced analytics to translate data into actionable insights.

As a manager for the Retain Data Engineering team, you will be responsible for the core Retain data platform to deliver increasing functionality, performance, and value of the core retain data and analytics infrastructure to support Retain’s rapid customer growth. You will be responsible for collaborating with tech leads, executives, product managers, and data scientists to translate product objectives into actionable engineering plans, and build and manage a culture and team to rapidly deliver the data product roadmap.

The leadership brought to Retain by this role will enable the company to solve problems ranging from helping executives prioritize investment budgets of 100s of millions of dollars to enabling iniduals to be more efficient and drive work-life balance.

What You’ll Do:

  • Actively coach, train, and grow a team of engineers by providing honest, direct and actionable feedback.

  • Help your team stay productive by removing obstacles, optimizing team processes and promote a healthy culture.

  • Work collaboratively with Executives, Product, Engineering and Data Science teams to develop and deliver scalable and reliable products.

  • Collaborate with fellow engineering leaders and staff to establish engineering best practices and drive the architecture strategy for our platform.

  • Build a team culture that is centered around employee growth, happiness, and performance.

  • Manage and support risks the engineering team may encounter.

  • Mitigate escalations on the software platform and drive continuous improvement to prevent recurring problems, recognize system deficiencies and implement effective solutions.

  • You will play an essential role in the hiring process, from scouting potential candidates to interviewing to helping close new hires.

What You’ll Get:

  • Competitive compensation, benefits, and equity.

  • Being part of a high growth AI technology startup.

  • Being part of an empathetic and high performance team that puts culture and people first, but takes pride in moving fast and delivering high quality product.

  • Mentorship from executives and growth opportunities along with company growth.

Skills and Qualifications:

  • 5+ years experience in software engineering with at least 2 years in a management role.

  • Experience building and running data platforms.

  • Experience with Python and SQL required, and experience with Snowflake, DBT, Looker is a plus.

  • You are excited about managing high performance and great culture teams and have done so in the past.

Education:

  • Computer Science or Engineering Degree or equivalent experience.