Telecom AI firm to nearly double tech team, India gets 75%
blackNgreen, an 18-year-old telecom AI company operating across 80+ countries, is scaling hiring across engineering, product, sales and business development. Its technology team is set to grow 65-100% over the next 12 months, sales and business development will double within six to eight months, and six to seven senior leadership roles will be added. About three-quarters of the new positions will be in India, with the rest spread across Africa, Europe, Latin America, the Middle East and Southeast Asia. The company is also embedding AI internally, training teams to build their own tools, and claims sprint cycles have shortened from 15 days to one week. Key signal: blackNgreen plans to grow its technology team by 65-100% over the next 12 months, with roughly three-quarters of new roles based in India. For hiring leaders, this matters because this is a useful counterweight to the narrative that AI hiring is concentrated in a handful of large GCCs and product giants. A mid-sized telecom AI firm hiring 65-100% more engineers, mostly in India, signals that AI talent demand is broadening into specialised product companies serving global telecom operators. For TA leaders, the differentiators here are explicit: AI fluency as a day-to-day expectation, early ownership of live systems, and profit-sharing instead of a fixed appraisal curve. That is a direct challenge to companies still hiring AI talent with conventional compensation and career-progression structures. Teksands view: Do not dismiss this because it is a press release. The signal is the hiring math: a mid-sized telecom AI company nearly doubling its tech team, with India carrying most of it. AI demand is broadening beyond elite GCCs. Note the talent pitch too: AI fluency expected daily, live-system ownership within months, profit-sharing over fixed appraisal curves. Companies still hiring AI engineers with rigid bands and slow onboarding will lose them to outfits like this.
Key fact
blackNgreen plans to grow its technology team by 65-100% over the next 12 months, with roughly three-quarters of new roles based in India.
Why it matters
This is a useful counterweight to the narrative that AI hiring is concentrated in a handful of large GCCs and product giants. A mid-sized telecom AI firm hiring 65-100% more engineers, mostly in India, signals that AI talent demand is broadening into specialised product companies serving global telecom operators. For TA leaders, the differentiators here are explicit: AI fluency as a day-to-day expectation, early ownership of live systems, and profit-sharing instead of a fixed appraisal curve. That is a direct challenge to companies still hiring AI talent with conventional compensation and career-progression structures.
The Teksands point of view
Do not dismiss this because it is a press release. The signal is the hiring math: a mid-sized telecom AI company nearly doubling its tech team, with India carrying most of it. AI demand is broadening beyond elite GCCs. Note the talent pitch too: AI fluency expected daily, live-system ownership within months, profit-sharing over fixed appraisal curves. Companies still hiring AI engineers with rigid bands and slow onboarding will lose them to outfits like this.
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