Sr. Engineering Manager, Activation Platform

Job--8d0b-462f-99f0-0eeddc7eded9

Location:

San Francisco, California, United States

Employment type:

FULL TIME Posted:
Live Ramp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the Live Ramp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale.

Live Ramp is headquartered in San Francisco, California, with offices worldwide. Learn more at  is the foundation Live Ramp is built on: the rails that move petabytes of audience data, every day, safely and reliably, into hundreds of media, cloud, and measurement destinations — OpenAI, Meta, Google, Amazon, The Trade Desk, Tik Tok, and beyond. Nearly every other product at Live Ramp, including our AI and agentic capabilities, depends on this pipeline to deliver value downstream.

It's market-leading, and it's the single biggest driver of the company's revenue.

We're hiring a Senior Engineering Manager to own it outright: three teams, 20-25 engineers across the US and India, and a clear mandate to modernize the platform — migrating to Temporal, building self-service, and bringing AI-driven workflows to a system already running at massive scale.

Your team will:

Activation Backend runs the distribution, matching, and refresh pipelines that move  5 petabytes of audience data to destinations every day.

Integration Core builds the shared integration platform, quality tooling, and Conversions API framework that every destination is built on. It leads the hardest partner API migrations.

Integration Feature builds and maintains the individual destination integrations, from the largest walled gardens to emerging channels.

Together they solve hard problems in throughput, deduplication, partner API compliance, PII and identity-based activation, observability, and cost. They are the front line when a delivery or partner issue affects a customer.

You will:

Lead about 20 to 25 engineers across three teams in the US and India:
Activation Backend, Integration Core, and Integration Feature Hire, coach, and grow the engineering managers and tech leads who run these teams

Own the reliability, speed, and cost of the pipelines that deliver audience data to destinations every dayOwn the health and roadmap of our partner integrations, including Meta, Google, Amazon, Tik Tok, DSPs, and cloud platforms

Lead incident response for activation and integrations, from detection to post-incident review, and drive down P0/P1 volume

Set the technical direction: migrate workflows to Temporal, expand self-service capabilities, and own the reference architecture

Cut delivery turnaround time and eliminate duplicate data sent to partners as volumes grow Bring AI to Activation through MCP interfaces and agent-driven workflows for customers and internal teams

Partner with Product, Quality Engineering, Support, and platform teams on priorities, quality gates, and on-call processes

Represent Activation engineering to executives and to our destination partners' engineering teams

About you:

Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
10+ years in software engineering, including 5+ years managing engineering teams

Have led 15+ engineers, including managing managers or tech leads, and grown senior technical talent

Built and operated large-scale distributed data systems in a public cloud, including data pipelines and workflow orchestration

Owned production reliability for customer-facing systems: on-call, incident response, and root-cause analysis

Delivered and maintained integrations with third-party partner APIsHave set roadmaps with Product based on business outcomes and delivered on quarterly commitments

Led teams across multiple countries and time zones

Communicate clearly with engineers and executives, including on technical trade-offs and risk

Stay calm and decisive under high customer impact and shifting priorities

Preferred

Skills:

AdTech, Mar Tech, or data collaboration experience, such as Conversions API, Customer Match, DSPs, or clean rooms

Google Cloud Platform, Kubernetes, Apache Spark, and Temporal or Cadence Led a platform shift toward API-first and self-service

Applied AI or agentic tools in production or in engineering workflows, including MCPFamiliar with privacy…