Drive high-impact initiatives across DeepMind, Google Research, and Tech and Society as a Strategic Partner Development Manager. This role bridges cutting-edge AI research with real-world societal impact, leading critical ecosystem engagements to enhance foundational models and public data infrastructure for billions. Focus areas include scaling Indic language capabilities, AI accessibility programs, and establishing factual public data infrastructure via Data Commons. The position is crucial for ensuring our frontier AI models are highly capable and localized for the APAC region.

Develop and manage scaled partnership ecosystems and advance research strategies across complex organizations like Deep Mind, Research, and Tech and Society. Engage with a diverse set of partners, including academic institutes, government ministries, and NGOs. A passion for AI accessibility and societal impact is essential, along with the ability to operate comfortably in ambiguity to drive "first-of-its-kind" partnerships in frontier language data collection and model benchmarking.

This role demands exceptional cross-functional collaboration and operational excellence, managing multiple complex funding streams, data licensing extensions, and Go-To-Market strategies simultaneously. The Global Partnerships organization is dedicated to exploring new opportunities with Google's partners, bringing the best of Google to power their businesses and support Google's product teams.

Support language data initiatives and partnerships for Google Research to enhance multilingual capabilities for approximately 1.5 billion users. Lead critical programs like Vaani phase 3 for Indic data generation with IISc, manage DeepMind agreement extensions for data acquisition, and support strategic Go-To-Market partnerships such as the 1800-Gemini rollout.

Drive the expansion of Data Commons in APAC, with a significant focus on India. Collaborate closely with government and institutional partners to develop example state-level implementations and influence standard data formats. Explore the usage of Data Commons Model Context Protocol servers with market players like Sarvam to ground external LLMs on factual Data Commons data.

A Bachelor's degree or equivalent practical experience is required. Candidates must possess 10 years of experience in business development, partnerships, management consulting, or investment banking within sectors such as Consumer Electronics, Auto, OEMs, Telecom, E-Commerce/Retail, Apps, Ads, Gaming, or Technology.

Demonstrated experience working with C-level executives and collaborating cross-functionally across all management levels is essential. Proven ability to manage agreements and partnerships effectively is also a key requirement. A Master's degree or other advanced degree is preferred.

Preferred experience includes 10 years in business development, partnerships, or management consulting, with a specialization in Frontier AI, Public Sector/Government data infrastructure, or Tech for Social Good. Experience establishing and navigating partnerships with government ministries, academic institutions, NGOs, and sophisticated scientific or developer partners is highly valued. The ability to manage ambiguity, coupled with excellent problem-solving skills and a strategic mindset, is crucial for translating challenges into project opportunities aligned with evolving business priorities. Strong communication skills, meticulous attention to detail, and the capacity to influence stakeholders at all levels, alongside experience building win-win relationships with cross-functional teams, are also important.