Windfall
Software Engineer - Backend (Varying Levels)
San Francisco or Denver
Sponsorship not specified$160k-$215kDetected 61 days ago
Distributed SystemsMachine LearningCommunicationCollaboration
About the role
- Communication and collaboration are at the heart of Windfall and you will work closely with our product and our other engineering teams.
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization.
Responsibilities
- As a Backend Engineer on our application team at Windfall, you will be building the system for ingesting and processing our customer data.
- You will personally design and build a scalable distributed system capable of supporting Windfall's next phase of growth.
Compensation
- About Windfall Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights.
- By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes.
- More than 1,500 data-driven organizations use Windfall to power their business.
- For more information, please visit www.windfall.com.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes.
Company info
- (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
- It is the "brains" of everything our customers interact with.
- We're on a mission to change how organizations perceive and use people data.
Equal opportunity
- Windfall is an equal opportunity employer.
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This listing is sourced directly from Windfall's careers page and normalized into a canonical job model.