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Engineering Manager, Enterprise Product

Manage and scale high-performance systems for enterprise data processing and security
San Francisco, California, United States
Senior
$240,000 – 339,900 USD / year
2 days ago
Bayes (Acquired by Airtable)

Bayes (Acquired by Airtable)

Bayes provides advanced data analysis tools to help businesses make data-driven decisions and streamline their operations.

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Engineering Manager, Enterprise Product

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

Airtable is used by more than half of the Fortune 500 companies to power their mission-critical initiatives. Enterprise customers leverage Airtable to build sophisticated apps, and orchestrate deep, end-to-end workflows. As we continue to scale, our teams are building the systems to ensure the security and governance of our customer's data - from secure handling of file attachments to enterprise key management. These are advanced systems that provide robust security measures to protect our user's data.

We are seeking Engineering Managers to join our Enterprise engineering pillar, focused on scaling product experiences for our biggest customers. We currently have openings on:

The Scaled Experiences Team (SF/NYC): The Scaled Experiences team focuses holistically on the customer problem of using Airtable at scale. This includes owning Airtable's high-scale storage and processing system, HyperDB, as well as user-facing scale-related experiences such as large view interactions, search, charting, and bulk actions on large volumes of data.

Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco or New York City who are open to coming into the office at least ~2-3 times/week for team collaboration.

What You'll Do

  • Lead, manage, and grow a team of high-functioning engineers that are in charge of our systems and frameworks.
  • Partner with engineering leaders to drive technical decisions and initiatives to build products in a high-quality and sustainable way.
  • Nurture a team of passionate and capable engineers. Partner with senior engineers to multiply their impact, and coach & grow early-career engineers.
  • Partner with cross-functional peers including product and design to come up with and execute against short and long term strategy and plans for the team.
  • Implement processes to help the team scale and be productive, while allowing for agility to accommodate the dynamic environment that we operate in.

Who You Are

  • 5+ years experience as an engineer (previously in a staff or TL level IC position) and 2+ years as a manager, or a similar combination.
  • Strong customer focus and experience working closely with Product Managers to define products, manage tradeoffs, and drive adoption with customers.
  • Experience with navigating large systems.
  • Experience leading high performing engineering teams in a fast paced environment.
  • Experience in growing and mentoring engineers.
  • Experience in managing, organizing, and prioritizing multiple projects and work streams.

Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $240,000 - $339,900 USD

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Engineering Manager, Enterprise Product
San Francisco, California, United States
$240,000 – 339,900 USD / year
Engineering
About Bayes (Acquired by Airtable)
Bayes provides advanced data analysis tools to help businesses make data-driven decisions and streamline their operations.