The RoleAs Partner Development Manager, you will deliver on our strategy to build mindshare and adoption of ThoughtSpot’s Search & AI-Driven analytics platform in your market(s). This is a sales-focused role. You will be responsible for driving top-line revenue and end-customer success by building and managing a network of partners and engaging through/with them to win new customers and expand business with our existing customers.You will leverage AI and advanced analytics to identify high-value partner opportunities, optimize joint go-to-market strategies, and enable data-driven decision-making across the partner ecosystem. The ideal candidate has a business background that enables engagement at the CXO level, a sales background to interact confidently with enterprise customers and field sales teams, and a deep understanding of partner business models. You should have a demonstrated ability to think strategically about business, product, and technical challenges, and the ability to build and convey compelling, AI-enhanced value propositions.What You’ll Do: Create Joint Field Engagement Strategy: Collaborate with Hyperscalers, ISVs, and Global & Regional Systems Integrators (GSIs) using AI-driven insights to prioritize accounts, map opportunities, and generate incremental value for both ThoughtSpot and the Partner(s). Onboard and Manage Partners: Recruit and manage key strategic SIs and technology partners using a combination of outbound, inbound, and AI-assisted partner identification tactics. Build Governance Models: Develop partner governance models with clear goals and metrics, leveraging AI tools to track performance, forecast impact, and inform investment decisions. Develop Go-to-Market Programs & Joint Solutions: Design joint offerings with partners that create market differentiation and sales opportunity, using AI to uncover unmet needs and accelerate adoption. Enable Internal Processes: Work with Sales Ops, Finance, Legal, and Partner Programs to build AI-informed internal processes that maximize partner effectiveness. Act as the Connector: Serve as the single point of contact between ThoughtSpot field teams and partner field teams on current, pipeline, and future account opportunities, using AI-enabled analytics to guide prioritization and collaboration. Drive Revenue: Meet or exceed quarterly and annual revenue targets, using AI insights to optimize partner engagement and sales outcomes. What You Bring: 7+ years of experience managing Strategic Partnerships and Technology Alliances, ideally with experience in the data & analytics ecosystem (AWS, GCP, Snowflake, Databricks, dbt, Tableau, Slalom, Accenture, etc.), experience with resellers for SaaS is a plus Strong understanding of the power of technology partnerships and ability to drive partner-led sales with AI-augmented insights. Demonstrated success in scaling organizations and connecting with stakeholders at all levels. Proven ability to contextualize the value of partnerships to executives, excite managers, and incentivize salespeople, using data-driven and AI-supported strategies. Experience working cross-functionally within large organizations, including direct and channel marketing, product management, and account management teams. Strong familiarity with decision-making processes in enterprise customers, enhanced by AI tools for predictive insights and opportunity prioritization. Experience engaging and influencing C-level executives, presenting complex concepts clearly and persuasively. Excellent communication and presentation skills, both written and verbal, with the ability to incorporate AI-generated insights and analytics into compelling narratives. The estimated annual salary range for this role is $180k - $255k in most US locations.Actual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to: Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality. Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality. Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions. Write effective prompts to get the most accurate and creative results from AI tools. Spotters are expected to exemplify these key traits and AI Mindset: Curiosity in exploring new AI tools Adaptability to quickly learn and implement new, emerging AI technologies Critical thinking to know when to identify when AI should be used versus when human judgement is necessary This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.AI Mindset for All SpottersAt ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.Hybrid Work at ThoughtSpotThis office-assigned role is available as a hybrid position, reporting to the office in US - Mountain View.Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams. ThoughtSpot for AllAt ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.What Makes ThoughtSpot a Great Place to Work?ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.About ThoughtSpotThe world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.