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Bazaarvoice is a B2B SaaS platform that connects brands and retailers with consumers through user-generated content, product reviews, and AI-powered shopping experiences. The company operates a global network spanning North America, Europe, Asia, and Australia, serving thousands of brands and retailers.
You will serve as Director of Strategic Partnerships, reporting to the SVP of Strategic Partnerships. This is a relationship-ownership and account-strategy role focused on Bazaarvoice's portfolio of deep, multi-year partnerships with LLM and AI platform providers (e.g., Google, OpenAI, hyperscalers, and emerging AI commerce players).
Key Responsibilities:
- Serve as the primary relationship owner and account strategist for key LLM and AI partners, deepening executive relationships and identifying new avenues for mutual growth.
- Establish and lead structured account management cadences (QBRs, strategic joint roadmapping, executive steering committees) to ensure alignment, resolve operational friction, and secure durable partnership renewals.
- Drive cross-functional initiatives to scale existing pilots into permanent, core integrations, demonstrating how Bazaarvoice data improves LLM-powered search, recommendation, and agentic shopping outcomes.
- Collaborate with partners on success metrics (conversion lift, engagement, relevance) to ensure ROI is consistently measured and leveraged to unlock broader usage tiers.
- Package account successes, performance gains, and case studies to advocate for broader rollouts across additional partner product lines and business units.
- Translate ongoing partner feedback and evolving technical needs into actionable insights for Product and Engineering; ensure APIs, data feeds, and integrations are continually optimized.
- Work closely with Legal to update client terms, navigate data privacy and retention discussions, and co-lead renegotiations as partnership scopes expand.
- Refine non-quota commercial models (tiered access, usage expansion, co-marketing, joint GTM) to capture increasing economic value as accounts mature.
- Partner with Revenue, Finance, and Strategy to track the expanding baseline value of LLM partnerships and reflect account health in corporate performance.
- Represent Bazaarvoice with senior partner executives and key client stakeholders, advocating for the long-term value of Bazaarvoice's authenticated UGC network in AI commerce.
Requirements:
- 8+ years in strategic partnerships, platform partnerships, or ecosystem leadership roles, with strong emphasis on data, platforms, and/or adtech/eCommerce.
- Demonstrated success building and nurturing senior-level relationships with large technology platforms (hyperscalers, major ad platforms, LLM providers), including aligning on joint strategy and executing multi-phase roadmaps.
- Proven experience turning emerging technology shifts (AI, privacy changes) into concrete partner offerings and measurable client value.
- Track record structuring complex data or platform partnerships where value is created through integration, usage, and proof of performance, not just contract size.
- Experience partnering closely with product and engineering teams to inform roadmaps and translate partnership opportunities into scalable, real-world products and integrations.
- Comfort operating at the intersection of legal, privacy, and commercial outcomes—shaping pragmatic, scalable positions on data rights, training usage, and acceptable use while enabling innovation.
- Experience in environments where authenticity, trust, and sustainability are central to the value proposition is a plus.
- Relationship-first operator who derives energy from building long-term, trust-based partnerships while moving quickly to tangible proof points.
- Strategic, systems-level thinker who can connect macro industry shifts in AI and commerce to specific partnership structures and experiments.
- Highly collaborative, low-ego leader comfortable influencing without direct authority across Strategy, Product, Engineering, Legal, and GTM.
- Comfortable with ambiguity and first-of-kind work; default to test-and-learn, not endless debate.
