Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.
Position Summary
The Technical Success Manager (TSM) is a hybrid role that combines technical expertise with strategic customer engagement. Partnering with Sales and Client Services teams, the Technical Success Manager leads long-term technical adoption of the Domo platform. This role requires hands-on experience with data, deep product knowledge, and the ability to design scalable, innovative solutions that help customers realize maximum value. Ideal candidates thrive in fast-paced environments and excel at solving complex business challenges through technical strategy.
Key Responsibilities
Lead and guide customers through the technical aspects of adopting and expanding their use of the Domo platform over time;
Collaborate with Sales and CS teams to align on customer strategy, ensure smooth handoffs, and support strategic initiatives;
Design and implement scalable and innovative solutions that address customers' business and data challenges;
Work directly with customer data and systems to configure, troubleshoot, and optimize Domo implementations;
Build strong relationships with customers by providing ongoing technical guidance, sharing best practices, and identifying opportunities for deeper platform usage;
Help educate customers on Domo’s capabilities, ensuring they are empowered to leverage the platform effectively;
Tackle complex customer problems with creativity and a deep understanding of both business context and technical tools.
Job Requirements
3+ years of experience in a technical, data-focused role (e.g., Solutions Consultant, Data Analyst, BI Developer, Technical Account Manager, or similar);
Proven experience working directly with customers in a technical or strategic advisory capacity;
Experience supporting or partnering with Sales, Customer Success, or Pre-Sales teams;
Strong understanding of data modeling, ETL/ELT processes, and business intelligence concepts;
Hands-on experience with SQL; additional scripting or data transformation tools (Python, R, etc.) is a plus;
Familiarity with cloud data platforms (e.g., Snowflake, Redshift, BigQuery) and data integration patterns;
Experience designing scalable technical solutions for enterprise environments;
Working knowledge of APIs, data connectors, and system integrations;
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences;
Strong presentation skills, particularly in customer-facing settings;
Ability to manage multiple priorities and work cross-functionally in a fast-paced environment;
Customer-first mentality with a passion for helping customers succeed through technology;
Strategic thinker with a problem-solving orientation and a proactive, ownership-driven mindset;
Ability to thrive in ambiguity and adapt to evolving customer and business needs;
Bachelor’s degree in a technical or analytical field (e.g., Computer Science, Engineering, Information Systems, or similar) or equivalent practical experience.