BDR Ramp Accelerator — Speed New Hire Productivity (Hybrid)

Sage City; Atlanta (GA); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health, dental and vision

401(k) retirement match

32 days paid time off

18 weeks parental leave

Tuition reimbursement

Wellness rewards program

Volunteer days

Job summary

Sage is seeking a Ramp Accelerator for its BDR team in a hybrid Atlanta role. You will drive a scalable ramping process, coach new hires, and track milestones to accelerate time-to-productivity.

This is a high-impact, data-driven position designed to standardize ramp milestones and ensure a strong onboarding experience post-orientation. You will partner with Enablement and BDR Leadership to align content hand-offs, set clear expectations, and optimize ramp performance using data.

Qualifications

• Proven track record in BDR ramp acceleration and sales enablement.
• Experience developing early-career reps and coaching programs.
• Ability to influence across functions and drive structured ramp milestones.

Responsibilities

• Own and optimize the BDR ramp framework from post-orientation to full productivity.
• Deliver structured daily coaching, milestone tracking, and performance accountability for new BDR hires.
• Collaborate with Enablement and BDR Leadership to align content hand-offs and role expectations.
• Leverage performance data to refine the ramp experience and improve onboarding KPIs.

Skills

BDR ramp

Sales enablement

Early-career development

Cross-functional leadership

Metrics-driven

BDR operations

Job description

Sage is seeking a Ramp Accelerator for its BDR team in a hybrid Atlanta role. You will drive a scalable ramping process, coach new hires, and track milestones to accelerate time-to-productivity.

This is a high-impact, data-driven position designed to standardize ramp milestones and ensure a strong onboarding experience post-orientation. You will partner with Enablement and BDR Leadership to align content hand-offs, set clear expectations, and optimize ramp performance using data.