Technical Program Manager

InMobi · Bangalore

  • Senior
  • Full-time
  • Posted 2026-09-22
  • Confirmed live on 25 September 2026

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Job description

InMobi (Corporate)

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.

InMobi Advertising

InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.

Glance

Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.

About the team.
InMobiʼs DSP is a real-time bidding platform operating at millions of queries per second with sub-50ms latency SLAs, built on a Scala, Pekko, gRPC, and GKE stack. The organization spans ~60 people across engineering and applied science, and is in the middle of a significant platform re-architecture toward a commerce-first, ML-driven model including a modernized feature store and lakehouse layer, and a growing applied science presence across multiple geographies focused on commerce advertising. This role sits within InMobiʼs central TPM organization (which reports to the Group CTO) and works in close, day-to-day partnership with the Head of Technology for DSP and their leadership team (Director of Engineering, Director of Applied Science, Principal Scientist).

What youʼll own.

• End-to-end program management across DSPʼs full portfolio, spanning platform/infra re-architecture, applied science/ML initiatives, and customer/commerce-facing feature launches. Youʼre the connective tissue across all three, not siloed into one.

• Cross geo co-ordination across Bangalore, Beijing, and Lucknow, as the applied science and engineering org scales, aligning roadmaps, resolving dependencies, and keeping distributed teams working off a shared plan despite time zone and org-distance challenges.

• Translating strategy into execution, partnering with DSPʼs engineering and applied science leadership to break down large initiatives (e.g., feature store migration, new bidding/commerce capabilities) into sequenced, resourced, trackable plans.

• Program governance, roadmaps, dependency maps, RAID logs, milestone tracking, and operating cadences (planning cycles, status reviews, exec updates) suited to a real-time, high-QPS distributed systems environment.

• Risk identification and mitigation across technically complex, cross-team efforts surfacing conflicts early, before they hit sub-50ms latency SLAs or launch timelines.

• Representing DSP programs upward and outward, reporting into the central TPM org and Group CTO leadership, while remaining deeply embedded in DSPʼs day-to-day technical context.

• Stakeholder alignment across engineering, applied science, and adjacent partner teams (data platform, commerce/monetization, infra).

Who you are.

• 3-6 years of technical program management experience, ideally within ad-tech, real-time bidding, or large-scale distributed/low-latency systems.

• Proven experience running programs that span both software engineering and applied science/ML teams, comfortable with the different cadences and artifacts each discipline needs.

• Working technical fluency with distributed systems concepts (gRPC, streaming/Kafka, Kubernetes/GKE, service mesh), enough to engage credibly with senior engineers and scientists, not just track Jira tickets.

• Working understanding of the applied science/ML project lifecycle, experimentation design, offline vs. online metrics, feature engineering, model evaluation, and rollout/A-B testing, sufficient to plan, sequence, and de-risk applied science programs rather than treat them as black boxes.

• Experience coordinating across geographies and time zones (India-China or similar), including navigating cultural and organizational distance across multiple sites.

• Strong executive communication and stakeholder management skills, able to operate comfortably with Group CTO-level stakeholders as well

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