Stackadapt Jobs (NOW HIRING)

The Data Delivery team builds the systems that help StackAdapt 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.

StackAdapt 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 StackAdapt's broader platform vision, watch Yang Han discuss the evolution of StackAdapt's AI-powered advertising and marketing platform:
How AI Advertising Platform StackAdapt 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 system design: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture.
• Cross-functional influence: Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy.
• Platform thinking: Ability to design systems that create leverage for multiple teams and make future product development easier.
• Data quality mindset: Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust.
• Business and product judgment: Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value.
• Technical communication: Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences.
• Mentorship: Experience developing senior engineers and raising engineering standards across a team or domain.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, forecasting, or high-volume event processing is a plus.

You will help Data Delivery and the broader Stats & Analytics domain build trusted, scalable, and efficient data systems that enable faster product development and better customer outcomes.

In practice, this means:

• Data Delivery has a clear long-term technical direction that supports StackAdapt's product and platform growth.
• Teams can launch new reporting, measurement, forecasting, billing, export, and analytics capabilities faster and with greater confidence.
• Core data systems are more reliable, scalable, cost-efficient, and easier to evolve.
• Product and engineering teams have a stronger understanding of how Stats & Analytics systems fit together.
• Technical trade-offs are clearly understood, documented, and aligned across teams.
• Engineers around you grow through your mentorship, strategic guidance, and example.
• Data Delivery helps StackAdapt scale new advertising and marketing opportunities by giving customers a trusted view of performance across channels and the customer journey.