National Sales Capability & Productivity Lead

PT. Indosat Tbk; Jakarta Pusat; On-site; IDR 600,000,000 - 1,000,000,000; Full time

Job summary

PT. Indosat Tbk is seeking a senior sales capability leader to scale ODU standards across the national field. You will own certification, toolkit development, and frontline process improvements to drive performance.

You will diagnose underperforming Circles, create fix plans, and lead a team of trainers to implement rigorous coaching and data-driven productivity models across markets.

Qualifications

• Bachelor's degree in any discipline; business or management preferred.
• Eight to ten years in sales effectiveness or related fields, with at least three years leading field teams or trainers.
• Has built a sales toolkit and certification that a large, agency-based field force actually used.
• Credible in the field: can run a door-to-door shift and coach on the spot.
• Knows FWA or broadband CPE well enough to teach site qualification and the ODU vs IDU choice.

Responsibilities

• Own the national ODU sales capability standard, certification, sales routines and the frontline tools.
• Fixes underperforming Circles with a diagnosis and a capability plan, not another target.
• Build the ODU toolkit: pitch, objection handling, on-site signal check and site qualification.
• Set and audit daily/weekly routines run by Sales Managers and TLs: huddle, journey plan, field coaching.
• Own the productivity model: GA per active AE, %-productive AE, strike rate, time to first sale, and benchmarks by market.

Skills

Sales toolkit

Certification

Field coaching

Door-to-door sales

FWA knowledge

Education

Bachelor's degree

Tools

iSales

Job description

PT. Indosat Tbk is seeking a senior sales capability leader to scale ODU standards across the national field. You will own certification, toolkit development, and frontline process improvements to drive performance.

You will diagnose underperforming Circles, create fix plans, and lead a team of trainers to implement rigorous coaching and data-driven productivity models across markets.