• Unterstützung unseres Teams beim Fundraising, insbesondere durch Investorenrecherche und Pflege unserer Investorendatenbank • Entwicklung und Implementierung von Automatisierungslösungen, z. B. zur Unterstützung beim Deal Sourcing oder in Due-Diligence-Prozessen • Mitwirkung bei der Optimierung datenbasierter Rechercheprozesse mithilfe moderner AI-Tools

• Your primary goal is to build AI-powered infrastructure that gives VC and PE clients a genuine edge — proprietary systems that extract signals, automate decisions, and compound in value over time. • Agentic AI Systems: Multi-step LLM workflows, RAG pipelines, and agent orchestration systems — owned from architecture to production. From quick experiments to full production deployments — you know when to move fast and validate, and when to engineer for scale. Real clients depend on these systems to make investment decisions. • Full-Stack AI Applications: Client-facing web applications with AI embedded throughout — Python/FastAPI backends, React frontends, integrated with LLM providers (OpenAI, Anthropic, Gemini). Claude Code or Cursor is your primary environment. AI-assisted coding is your default mode, not a shortcut you reach for occasionally. • Data Platform Engineering: Scalable pipelines and cloud infrastructure (AWS/GCP) that underpin AI features — vector databases, data ingestion layers, API integrations. The foundation that makes everything else work. • Technical Discovery & Client Engagement: You’ll translate business needs into AI-first technical proposals — in the room with CFOs, GPs, and operating partners. You know what’s possible and you can explain it to someone who doesn’t write Python. • AI Quality & Internal Standards: Guardrails, automated testing, and observability for AI systems. You’ll help define what ‘good’ looks like across every engagement — contributing to internal engineering standards that compound over time.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Director, Strategic Alliances-AI Ecosystem to join our team. This role offers flexible location options including onsite or hybrid at our San Jose Office, or remote within the USA, reporting to the Senior Director, PM-AI Security & Strategic Initiatives in the PM - Security AI department. This role is business development focused. What you’ll do (Role Expectations) - Identify, engage, and cultivate strategic partnerships with AI ecosystem players and hyperscaler partners, owning the outreach pipeline from initial contact through executive-level meetings. - Develop and execute a partnership go-to-market strategy that aligns AI ecosystem integrations with Zscaler’s security platform roadmap and revenue objectives. - Serve as the technical bridge between partners and Zscaler product management, translating partner capabilities and integration requirements into actionable product collaboration opportunities. - Build and maintain a structured partner engagement framework, including joint roadmap planning, co-development agreements, and ongoing relationship management cadences. - Represent Zscaler’s AI security vision externally at industry events, partner forums, and ecosystem working groups to expand brand presence and attract new partnership opportunities. Qualifications - 5+ years in product management or business development (including BDM and strategic partnerships), with at least 3 years dedicated to AI/ML ecosystems or cloud security platforms. - Proven track record of identifying, negotiating, and closing strategic technology partnerships with hyperscalers (AWS, Azure, GCP) or major AI ecosystem players (Anthropic, OpenAI, Databricks, CoreWeave, etc). - Strong technical acumen in AI/ML architectures and integration patterns, with the ability to translate between partner product teams and internal product stakeholders. - Experience developing and executing partnership go-to-market strategy that drive measurable revenue impact and platform adoption. - Excellent executive communication and relationship management skills, with demonstrated ability to engage C-level and VP-level stakeholders at partner organizations. Requirements - Experience in cybersecurity or zero-trust architecture, particularly in how AI is applied to threat detection, data protection, or security operations. - Existing relationships within the AI ecosystem (e.g., model providers, inference platforms, AI infrastructure vendors) or major hyperscaler partner programs. - MBA or advanced technical degree, or equivalent experience building and scaling partnership programs at a high-growth enterprise SaaS company. Benefits - Various health plans. - Time off plans for vacation and sick time. - Parental leave options. - Retirement options. - Education reimbursement. - In-office perks, and more!

• Build and manage Velir x Brooklyn Data’s strategic partnerships with leading data and AI platform providers • Identify and develop new alliance opportunities within the modern data stack ecosystem • Strengthen Velir x Brooklyn Data’s positioning as a preferred services partner within partner ecosystems • Identify and pursue “first-to-market” opportunities, including early adoption of new partner features, products, or capabilities • Develop and execute joint go-to-market strategies that generate pipeline and new business opportunities • Work closely with Velir x Brooklyn Data’s sales and growth teams to support co-selling initiatives and partner-led opportunities • Proactively track and register opportunities to ensure the organization receives appropriate credit for sourced opportunities and client consumption growth • Serve as the primary Velir x Brooklyn Data liaison with key partner executives and alliance leaders • Establish and nurture executive relationships across partner organizations • Maintain strong collaboration between Velir’s sales, marketing, and delivery teams and partner counterparts • Lead Velir x Brooklyn Data’s strategy and execution for data and AI partner conferences, summits, and ecosystem events • Identify and prioritize the most impactful partner events including Snowflake Summit, Databricks Data + AI Summit, Domo Palooza, and dbt Coalesce • Develop pre-event go-to-market strategies to drive pipeline generation, partner alignment, and client engagement • Coordinate internal preparation across sales, marketing, and delivery teams to ensure Velir x Brooklyn Data is positioned effectively throughout event preparation, execution, and follow up • Oversee execution of Velir x Brooklyn Data’s presence at partner events including executive meetings, speaking opportunities, joint marketing initiatives, and partner engagement activities • Ensure strong post-event follow-up and pipeline conversion from meetings, leads, and partner introductions generated at these events • Identify opportunities to showcase Velir x Brooklyn Data’s expertise in data, AI, and modern digital experience transformation • Drive the development of early case studies and success stories that support partner adoption and strengthen market positioning • Maintain visibility into partner product and feature roadmaps to proactively identify opportunities for early testing, case studies, and joint go-to-market efforts • Ensure teams are enabled on partner technologies and value propositions • Align internal stakeholders on partner priorities and initiatives • Support joint solution development and partner-aligned service offerings