Sr. Manager, Engineering

P-138

At the company, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

And we're only getting started.

As a Senior Engineering Manager, you will work with your team to build infrastructure and products for the the company platform  have multiple teams working on different domains.

Resource management infrastructure powering the big data and machine learning workloads on the the company platform in a scalable, secure, and cloud‑agnostic way

Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers

Build tools to allow the company engineers to operate their services across different clouds and environments

Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

Hire great engineers to build an outstanding team.

Support engineers in their career development by providing clear feedback and develop engineering leaders.

Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).

Work with engineering and product leadership to build a long-term roadmap.

Coordinate execution and collaborate across teams to unblock cross‑cutting projects.

What we look for:

Great at hiring and developing talent, especially leadership

Great at creating efficient processes that increase velocity and quality

Managed teams that build and operate high-volume distributed systems in a SaaS environment

Have experience scaling engineering teams from 5 to 30+

Team player who will work with other departments

BS or higher in Computer Science, or a related field

About the company
the company is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

To learn more, follow the company on Twitter, Linked In and Facebook.

Benefits
At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region .

Our Commitment to Diversity and Inclusion
At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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