Head of Fintech, Partnerships
Offchain LabsFull Time
Senior (5 to 8 years)
Candidates must have over 10 years of experience in technology alliances, business development, or strategic partnerships within enterprise software, with a preference for cybersecurity or threat intelligence. Proven success in managing partnerships with major tech companies like Splunk and Palo Alto Networks is essential. A deep understanding of API integrations, SIEM/SOAR platforms, cloud security, and threat detection technologies is required, along with strong business acumen and technical fluency. Excellent communication, negotiation, and executive presence are necessary, as is experience working cross-functionally with sales, marketing, product, and engineering teams. A Bachelor's degree is required, and an MBA or technical degree is a plus. Preferred experience includes working with channel programs, MSSPs, or OEM partnerships, and a history of launching co-branded solutions or integrations on platforms like Splunkbase or Cortex XSOAR Marketplace.
The Director of Technology Alliances will develop and execute a comprehensive alliance strategy for Splunk and Palo Alto Networks, aligning with Dataminr’s business goals. They will enhance joint value propositions, sales plays, and enablement content to drive pipeline and revenue growth with partner sales and marketing teams. Responsibilities include collaborating with product and engineering teams to manage and improve integrations with Splunk and Palo Alto platforms, and building strong relationships with executives and teams at partner companies and internally. The role also involves coordinating training programs, webinars, and joint field events for enablement, defining KPIs to track partnership effectiveness and ROI, and reporting performance to leadership. Additionally, the director will stay informed about competitive developments and market trends in the cybersecurity and threat intelligence ecosystems.
Real-time AI for risk detection and alerts
Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.