Engineering Manager | Bangalore | Premium Institute Only - IIT (M,D,B,K),NIT, BITS, IIIT, VIT

We're hiring an Engineering Manager at Reach and this one's not for everyone.

If you're the kind of leader who gets restless in meetings that go nowhere, loses sleep over a P1 until it's resolved, and genuinely enjoys turning a tense client call into a moment of trust this might be exactly what you've been looking for.

And if you're already using AI to move faster, think sharper, and build better teams we definitely want to talk.

A little about us

Reach is a global SaaS platform that helps companies launch, operate, and scale their own wireless, broadband, and IoT services fast. We give brands everything they need to run an MVNO: billing, provisioning, network ops, the works.

Our clients are real businesses running live services on our platform every single day. When things go wrong, they call us. When things go right, they grow with us. That's the kind of accountability we're used to and honestly, it's what keeps the work interesting.

We're now at a point where AI isn't a future topic on our roadmap. It's already changing how our teams write code, review architecture, debug issues, and serve clients. We need an EM who doesn't just accept that but leads it.

www.reachplatform.com

What this role actually looks like day to day

You'll lead 710 engineers across 34 pods. Your team is spread across Bangalore, the US, and Canada. You'll report to the VP of Service Delivery and have a direct seat in co-founder strategy reviews.

No two days look the same. One morning you're doing sprint planning with the India team using AI-assisted tools to flag risks in the backlog before the meeting even starts. By afternoon you're on a call with a Fortune 500 CTO, translating a technical constraint into a business decision they can actually work with. In between, you're reviewing architecture for a real-time billing module, evaluating where an AI layer could reduce latency or improve accuracy, and squeezing in a mentoring session with one of your senior engineers on how to get more out of their AI-assisted dev workflow.

The best part? Every decision you make has a visible impact on clients, on the product, and on how fast this company grows.

What you'll own

On the delivery side

Lead your pods to maintain >95% on-time delivery. Go-live dates are commitments, not targets.

Surface blockers 2 sprints early with solutions already in hand, not just the problem.

Zero P1 bugs in production launches. Automated test coverage >80%. These aren't stretch goals, they're the baseline.

Champion AI-assisted development practices from code generation and test automation to smarter code reviews and release risk analysis.

On the business side

Understand how your technical choices affect client economics and platform margins.

Own build-vs-buy decisions with a clear ROI case including honest evaluations of where AI tooling actually saves time and cost, and where it doesn't.

Jump on P1 escalation calls within 30 minutes and turn them into process improvements, not just fixes.

Contribute to product roadmap and pricing strategy including how AI features get prioritized, scoped, and delivered.

On the technical side

Stay hands-on. Debug production issues. Unblock teams. Drive architectural decisions.

Lead conversations on where AI and ML can be embedded into the platform smarter billing, predictive alerts, automated diagnostics.

Use data Datadog, New Relic, Looker to make decisions. Not gut feel.

Set OKRs, run great code reviews, and hold the bar high for everyone on your team.

What we're looking for

The truth is, the bar here is high. But the best EMs we've worked with aren't just strong engineers they're people who care deeply about the outcome, not just the output. And right now, the outcome increasingly involves knowing how to put AI to work intelligently.

Here's what the profile looks like:

11+ years of experience, with at least 34 years managing other engineering managers not just individual contributors

Strong engineering foundation B.Tech / M.Tech from IIT, IIIT, NIT, BITS, VIT or equivalent

Solid hands-on background in distributed systems, microservices, and cloud platforms (AWS / Azure / GCP)

Comfortable across the stack Java / GoLang, SpringBoot / Dropwizard, Kafka, DynamoDB, MongoDB, Redis, Elasticsearch, MySQL

Actively using AI tools in your engineering workflow GitHub Copilot, Cursor, LLM-powered testing or observability tools, or similar. Not as a gimmick. As a real productivity multiplier.

A track record of >90% on-time delivery in fast-moving environments

Executive presence you can walk into a C-suite conversation and walk out with alignment

Strong project management instincts you know the difference between a blocker and a dependency

Bonus if you have

Hands-on experience integrating AI/ML features into a production SaaS product

Familiarity with LLM APIs, RAG pipelines, or AI-assisted observability and incident response

Experience managing global async teams across time zones

Background in telecom, MVNO, eSIM, HLR/HSS, or billing platforms

Exposure to platforms running millions of transactions a day

We can teach the telecom domain. We can't teach the ownership mindset or the hunger to keep learning in a field that's changing this fast.

The kind of person who thrives here

They don't wait for clarity they create it.

They're already thinking about how AI changes the way their team works next quarter. Not because someone told them to, but because they're genuinely curious about building better, faster, smarter. They escalate fast, always with a plan. They're direct when they need to be, but they bring people along. They treat ownership as a default, not a bonus.

And they know that in 2025, the best engineering leaders aren't the ones who fear AI replacing their team they're the ones actively using it to make their team 10x more effective.

What you get

A real seat at the table co-founder access, roadmap influence, and strategic ownership from Day 1

The chance to shape how AI gets embedded into a live, high-scale telecom SaaS platform not just talk about it in planning meetings

Global exposure Fortune 500 clients, enterprise CTOs, and cross-border teams across the US and Canada

The rare chance to go deep in telecom while building world-class SaaS most people never get both

A fast-scaling company where your decisions this quarter show up in the product next quarter

Opportunity to speak at industry conferences and represent Reach externally

If this sounds like the role you've been waiting for or if you know someone it's perfect for drop a comment, send a DM, or hit Apply.

We read every single application.

Bangalore | Full-Time | Hybrid

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