
Director of Technology Alliances
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
β’ Establish Gray Swan's OEM strategy along with target platforms, model providers, security vendors, and SaaS companies.
β’ Create target lists, business cases, and a pipeline for OEM collaborations.
β’ Oversee negotiations related to licensing models, white-label and embedded terms, revenue sharing, minimum commitments, SLAs, and support obligations.
β’ Collaborate with Legal and Finance on deal structuring, and with Product and Engineering on integration scope.
β’ Cultivate executive and field-level relationships across AWS, Microsoft Azure, and Google Cloud Platform.
β’ Manage marketplace listings, co-sell initiatives, private offers, and alignment on committed spending.
β’ Develop joint solution briefs, enable partners, align with the field, co-market, and engage in shared account planning.
β’ Ensure that partner sellers are informed about when and how to involve Gray Swan in opportunities.
β’ Integrate partner and integration requirements into the product roadmap.
β’ Collaborate with Engineering on APIs, SDKs, and deployment models for the embedding of Gray Swan.
β’ Define and report on metrics such as partner-sourced and partner-influenced pipeline, OEM ARR, marketplace revenue, time-to-first-deal, and partner productivity.
β’ Assist in developing a broader partner program that encompasses resellers, MSSPs, and technology alliances.
β’ Work closely with founders, and teams in Product, Engineering, Research, Legal, and Marketing.
β’ Minimum of 8 years in partnerships, alliances, or business development within cybersecurity, cloud infrastructure, or enterprise software, with direct responsibility for partner-driven revenue.
β’ Proven success in sourcing, negotiating, and finalizing OEM, embedded, or white-label agreements, with deals characterized by structure, size, and revenue impact.
β’ Practical experience with at least one hyperscaler (AWS, Microsoft, or Google Cloud), including marketplace listings, co-sell programs, or private offers.
β’ Established network within hyperscalers and among security or platform vendors.
β’ Comfortable with technical products, capable of explaining APIs, integrations, and deployment models to both engineers and business leaders.
β’ Experience in an early-stage or high-growth company environment.
β’ Nice-to-have: Experience with OEM agreements involving security vendors or AI and model-platform providers.
β’ Nice-to-have: Understanding of AI security and safety, encompassing LLM red teaming, prompt injection, agent security, AI governance, and emerging regulations.
β’ Nice-to-have: Background in building a partner function from the ground up, including initial hires, programs, and compensation structures.
β’ Nice-to-have: Experience at a company that has successfully scaled through significant growth phases.
β’ Authorization to work in the United States.
β’ Meaningful equity participation.
β’ 401k with up to 4% matching.
β’ 28 days of annual leave (vacation + holidays).
β’ Health, dental, and vision coverage.
β’ Catered lunches (Pittsburgh office).
β’ Flexible work arrangements.
β’ Performance-based compensation.
β’ Opportunity for significant earnings driven by high inbound interest and large deal sizes.
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