LeapYear solutions are used to unlock unprecedented value from the most sensitive data assets. The platform is based on the mathematical standard of differential privacy, which enables companies to compute on data across business lines, geographic boundaries, and organizations while preserving locality, confidentiality, and value.
We are looking for a Director of Alliances and Channels to develop new partnerships and manage/drive revenue through existing partnerships, including systems integrators, data/technology partners, and monetization partners.
Responsibilities
Map the landscape of systems integrators, technology partners, and data aggregators
Develop a model for working across different partner types and market motions
Recruit and close partners
Promote and enable partners
Work in the field to collaborate with partners and the LeapYear team to build pipeline and close qualified opportunities
Contribute to a culture of accountability and a team selling approach
Requirements
Minimum 10 years experience in alliances and channels for enterprise software
Experience working in a variety of partnering models
Experience at both the strategic (alliance creation) and field alliances functions; demonstrated track record of building new partnerships, enabling partners, and driving deals in the field
Knowledge of financial markets and of market and/or alternative data is helpful
Prior experience in startup organizations and selling products that are novel or require creativity and evangelism.
Ability to simply articulate highly technical products and serve as a trusted advisor to customers and partners.
A Few of the Perks
Culture of teaching and learning
Competitive compensation package of salary and equity: $150,000 – $250,000, depending on skills and experience
Matching 401k plan
Generous health insurance plan
Disability, accident, and life insurance
Relocation support
Company outings
Build your ideal work station
Berkeley, CA
LeapYear is the world’s first platform for differentially private reporting, analytics and machine learning. We enable enterprises across highly regulated industries to safely create value from their most sensitive datasets.
The platform embeds mathematically proven privacy into every computation, statistic and model enabling analysts and data scientists to generate insights from data without exposing the data itself. Our customers safely leverage and share data across institutional silos, geographic borders and with third parties, all while preserving privacy and confidentiality.
LeapYear is deployed in production, at multi-petabyte scale, across global 1000 financial institutions, healthcare companies, and insurers.
The rise of large-scale data collection and machine learning has been accompanied by pressing questions related to privacy, security, and data access.
LeapYear builds technology to address these issues in a scalable, rigorous, and future-proof way.
With LeapYear, some of the largest enterprises in the world are able to break down data silos, form data partnerships, and accelerate the adoption of machine learning, all with mathematically proven privacy protection.