Sales Development Representative

About the role

We’re looking for a driven, outbound-focused Sales Development Representative (SDR) to help fuel ThoughtSpot’s next phase of growth in the US. This is not a traditional SDR role — you’ll be at the forefront of how modern sales teams leverage AI, data, and automation to engage buyers more effectively.

Responsibilities

• Own outbound prospecting strategy across target accounts to generate qualified meetings and pipeline for Sales Leaders
• Research enterprise organizations to identify key initiatives, buying signals, and trends across data, analytics, and AI
• Leverage generative AI and automation tools to craft highly personalized outreach at scale across email, phone, and social channels
• Use AI-driven insights and real-time data to tailor messaging based on each prospect’s industry, role, and business challenges
• Partner closely with Account Executives and Marketing to align on account strategy and convert engagement into qualified opportunities
• Experiment with emerging tools (e.g., conversational AI, automation platforms, intent data) to continuously improve outbound effectiveness
• Maintain accurate activity tracking, pipeline hygiene, and account insights in Salesforce
• Consistently meet and exceed weekly/monthly pipeline generation targets

Requirements

• Proven success in an outbound SDR or similar pipeline generation role
• A strong “hunter” mentality with a passion for outbound prospecting and creating opportunities from scratch
• Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences
• Comfort operating in a fast-paced, evolving environment with a high degree of ownership
• Curiosity and enthusiasm for leveraging AI, automation, and data to improve sales performance
• Strong organizational and time-management skills with the ability to manage multiple priorities
• A collaborative mindset and willingness to partner cross-functionally with Sales and Marketing
• A positive attitude, resilience, and a desire to grow within a high-performing sales organization

Preferred

• Exposure to Business Intelligence, Data Analytics, or Data Warehousing concepts
• Experience using tools like Salesforce, LinkedIn Sales Navigator, or other prospecting platforms
• Early experience experimenting with AI tools (e.g., ChatGPT, automation platforms, or sales engagement tools) in a professional setting

Benefits

• In Illinois, the estimated annual salary range for this role is $70k – $80k per year. 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

• Spotters are expected to demonstrate AI literacy and workflow integration to include the 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.
• Write effective prompts to get the most accurate and creative results from AI tools.

Hybrid Work at ThoughtSpot

Spotters are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

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.