Senior Software Engineer, Data Delivery

Stack Adapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI‑powered Stack Adapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward‑thinking marketers choose Stack Adapt to orchestrate high‑impact campaigns across programmatic advertising and marketing channels.

The Data Delivery team builds the systems that help Stack Adapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer‑facing dashboards, reporting, billing, forecasting, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross‑channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer‑facing teams to make data accurate, timely, scalable, and easy to use.

Stack Adapt is expanding into the next generation of AI‑powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI‑powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, forecasting, billing, API, export, and data‑serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Senior Staff Software Engineer on Data Delivery, you will help shape the long‑term technical strategy for Data Delivery and the broader Stats & Analytics domain. You will work across teams to understand how the platform fits together, identify the right technical investments, and enable new product and feature development through scalable, reliable, and well‑designed data systems.

This role is ideal for someone who can operate across a broad technical surface area, connect product goals with platform architecture, and influence technical direction beyond a single team.

To learn more about Stack Adapt’s broader platform vision, watch Yang Han discuss the evolution of Stack Adapt’s AI‑powered advertising and marketing platform:
How AI Advertising Platform Stack Adapt Connects Marketers With Agencies - CTO Yang Han

• Technical strategy:
  Shape the long‑term architecture and technical direction for Data Delivery and related Stats & Analytics systems.
• Cross‑team leadership:
  Lead initiatives that span multiple teams, systems, and product areas, helping teams align on durable technical solutions.
• Platform enablement:
  Build and guide systems that make it easier to launch new reporting, measurement, forecasting, billing, export, and analytics capabilities.
• System design:
  Make high‑impact technical decisions across APIs, data pipelines, data models, distributed systems, storage, serving layers, and operational patterns.
• Product partnership:
  Work with product, engineering, data science, analytics, and business leaders to translate company priorities into technical roadmaps.
• Technical quality:
  Identify systemic gaps in reliability, scalability, data quality, developer experience, and operational ownership, then drive improvements.
• Decision‑making:
  Clarify trade‑offs around correctness, latency, freshness, cost, migration complexity, maintainability, and long‑term platform leverage.
• Technical mentorship:
  Coach and mentor engineers, including senior engineers, through architecture reviews, design discussions, and strategic technical guidance.

• Broad technical leadership:
  Experience shaping technical direction across teams, domains, or large platform areas.
• Backend and data systems expertise:
  Deep experience building scalable services, distributed systems, data platforms, or data‑intensive applications.
• Strategic…