Senior Partner Solutions Engineer

About this role

As Sr. Partner Solution Engineer, you will be the primary expert and ambassador on ThoughtSpot’s place in the analytics ecosystem for our partners and our sales teams. This role is part solutions architect, part sales, part product manager. Technical competence is the foundation but communication is the heart of this role. You will be an innovator, an educator, an advocate, and an ambassador.

You’ll have the opportunity to work with hyper-scalers, ISVs, SIs, and other channel partners to showcase the power of Thought’s agentic analytics platform and how it fits into AI-forward architectures. You will not only understand our integrations deeply, but help shape them with our Product leadership. You’ll help shape how our entire GTM team thinks about partnerships and become the go-to expert for partner products.

What you'll do:

• Drive ThoughtSpot's revenue through product strategy, technical enablement, and support of strategic partners

• Build and lead the technical relationships with ThoughtSpot's cloud partners (Snowflake, Databricks, GCP, AWS, etc.) on both product and field engineering fronts to turn them into champions

• Create and evangelize tools & accelerators with partners - technology and SI - to incorporate ThoughtSpot into demoware, accelerators, and all forms of pre-sales & post-sales architectures & solutions

• Develop domain expertise and thought leadership regarding ecosystem technology trends as well as in new areas for expansion to create and champion a vision for joint innovation

• Build the business case and communicate partner needs, product feedback, and innovation opportunities to Product Management & Engineering to incorporate partnerships into the roadmap and backlog

• Collaborate with Partnership GTM and PMM to develop joint product messaging, competitive intelligence, and objection handling

• Work with SIs to incorporate latest releases into their solution development, architectures, and training & enablement

• Provide leadership and enablement to ThoughtSpot's SE, CS, and PS teams on partner capabilities, building bridges between them partners

• Survey the broader data ecosystem for new technical partnership opportunities and threats

What you bring:

• Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred

• 7+ years of technical sales or solution architect experience

• 5+ years of hands-on experience with data platform implementations in cloud environments

• Advanced proficiency with SQL & Python

• Familiarity with BI tools such as Tableau, Power BI, Looker, and similar

• Cloud platform experience (AWS, Azure, GCP, Databricks, Snowflake)

• Deep understanding of data warehousing, modeling & analytics concepts

• An ability to quickly communicate complex ideas around a technical topic

• Comfort working independently in a fast-changing environment

• Tenacious, curious, and self-motivated, with a strong interest in both sales and technology

What will set you apart:

• A great reputation in the industry, sought out by partners as a trusted technical advisor

• Ability to evangelize ThoughtSpot in the data community

• Rich hands-on experience and networks with Snowflake and Databricks sellers & SEs

• Strong demo development & delivery skills for both technical and nontechnical audiences

• Understanding of product management & engineering process and how to collaborate on roadmap development

Remote Work at ThoughtSpot

This role is available as a remote position

About ThoughtSpot

The 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.

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 Spotters

At 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…