Sales Representative; SaaS
Listed on 2026-09-27
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Sales
Sales Development Rep/SDR, Sales Representative
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
We are looking for a highly motivated
Sales Representative to partner directly with our Enterprise Sales Executive. In this role, you will play a critical part in managing high-value, complex enterprise deals and driving faster deal progression. This is a unique opportunity to learn the ropes of enterprise-level tech sales from the inside out while contributing meaningfully to our revenue growth and customer success.
- Drive Deal Momentum:
Partner closely with the Enterprise Sales Executive across all phases of the sales cycle—from discovery to close to help accelerate deals and boost close rates. - Own Meeting Execution:
Prepare tailored agendas, create materials for prospect calls, attend high-stakes meetings, and take charge of all follow-up actions to keep opportunities moving forward. - Conduct Account Research:
Dive deep into market and account research to identify potential customers and gather key insights that personalize our outreach. - Optimize Sales Materials:
Customize pitch decks, case studies, and ROI calculators for specific verticals or clients to maximize our impact and conversion rates. - Manage Pipeline Intelligence:
Monitor active opportunities, maintain accurate CRM entries for clean forecasting, and pr
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