What you'll own

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

- Cross-geo coordination 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 DSP's 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 organization and Group CTO leadership, while remaining deeply embedded in DSP's 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.

- Solid executive communication and stakeholder management skills, able to operate comfortably with Group CTO-level stakeholders as well as ICs.

- A track record of building lightweight but effective program operating rhythms in fast-moving, technically deep orgs, not heavyweight process for its own sake.

- Bachelor's/Master's in Computer Science, Engineering, or a related technical field preferred

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Technical Program Manager (Bengaluru)
🏢 InMobi
📍 Bengaluru