Technical Program Manager - Cloud Infrastructure

Posted:
8/9/2024, 3:20:05 AM

Location(s):
Austin, Texas, United States ⋅ Texas, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Product

Workplace Type:
Hybrid

Pay:
$48/hr or $99,840 total comp

About Cognite
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. As an integral part of the esteemed Aker family, Cognite brings forth a legacy of innovation and excellence. Excitingly, we are set to extend our footprint to the vibrant landscapes of India, which opens the door for you to be part of the expansion from the beginning. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. The TPM team is the team responsible for shipping Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.
Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.

Cognite

Website: https://www.cognite.com/en/

Headquarter Location: Lysaker, Akershus, Norway

Employee Count: 501-1000

Year Founded: 2016

IPO Status: Private

Last Funding Type: Secondary Market

Industries: Artificial Intelligence (AI) ⋅ Industrial Automation ⋅ Information Technology ⋅ Machine Learning ⋅ SaaS