Technical Program Manager

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.
• Strong 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

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