Engineering Lead Manager, Data Products

At Index Exchange, we’re reinventing how digital advertising works—at scale. As a global advertising supply-side platform, we empower the world’s leading media owners and marketers to thrive in a programmatic, privacy-first ecosystem.

We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.

We process more than 550 billion real-time auctions every day (in comparison, Google processes 8.5 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs primarily on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.

At the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.

About the Role

Index Exchange is looking for an experienced Engineering Manager / Engineering Lead to lead a team building the data products that turn large-scale marketplace data into capabilities consumed by customers, internal applications, operational teams, and machine learning systems.

Our Data Products organization sits between foundational data infrastructure and the consumers of data. We build the curated datasets, real-time data products, domain APIs, reporting experiences, integrations, and delivery mechanisms that make data usable as a product.

This is a highly technical leadership role. You will lead and develop a team of engineers while helping define the architecture and technical direction of systems spanning large-scale data processing, distributed systems, APIs, streaming, analytics, and product-facing serving.

The ideal candidate combines strong engineering leadership with deep technical experience building data-intensive products and distributed backend systems at scale.

What You'll Do

Lead a High-Impact Engineering Team

• Lead, mentor, and grow engineers working across backend systems, data processing, APIs, streaming, and analytical products.
• Establish strong engineering practices around architecture, testing, reliability, observability, operational ownership, and system design.
• Create an environment where senior engineers can independently lead complex technical initiatives.
• Partner with Product and Engineering leadership to translate business needs into a scalable technical roadmap.
• Balance near‑product delivery with investments in architecture, automation, reliability, and engineering velocity.

Build Data as a Product

Lead the development of reusable data products that turn large-scale marketplace data into trusted business capabilities.

You and your team will:

• Build curated and aggregated datasets supporting reporting, billing, operational workflows, experimentation, and ML use cases.
• Establish reusable aggregation frameworks and standardized patterns for creating new data products.
• Own correctness, reconciliation, discrepancy management, freshness, and SLAs for product‑facing datasets.
• Design systems that allow new datasets, metrics, dimensions, and capabilities to be introduced quickly and safely.
• Drive self‑service patterns that reduce one‑off engineering work and make data capabilities reusable across the organization.

Build Real‑Time Data Products

Help evolve Data Products beyond traditional batch analytics toward increasingly real‑time product experiences.

• Build streaming‑derived datasets and real‑time operational data products.
• Design business‑oriented transformations and aggregations over high‑volume event streams.
• Define and operate freshness and availability guarantees for near‑real‑time products.
• Develop architectures that combine historical and real‑time data where appropriate.
• Work with shared streaming and data platform teams while owning the business‑facing products built on top of those capabilities.

Build APIs & Serving Experiences

Data should be accessible as a product rather than only through databases or BI tools.

You will help lead the development of:

• Domain‑oriented data APIs.
• High‑performance reporting and retrieval APIs.
• Serving layers combining historical and real‑time datasets.
• Semantic and product‑oriented data ac