Senior Staff Software Engineer, Data Delivery

StackAdapt Inc.; United States; Remote; USD 240,000 - 330,000; Full time

Benefits offered by this job

Retirement plan

Generous PTO

Mental health support

Health benefits from day one

Parental leave

Home office stipend

Learning budget

Structured onboarding

Job summary

StackAdapt is seeking a Senior Staff Engineer to lead Data Delivery and analytics infrastructure for an AI-powered advertising platform. You will shape long-term strategy, mentor engineers, and collaborate with product and business leaders to drive critical initiatives.

The role emphasizes building scalable backend services, data pipelines, and observability, with a remote-friendly setup across the US and Canada and a strong focus on reliability and data quality.

Qualifications

• Experience shaping technical direction across multiple teams or large platform areas.
• Deep expertise building scalable backend services and distributed data systems.
• Strong judgment in API, pipeline, and data model design with observability.
• Ability to balance correctness, latency, cost, and maintainability.

Responsibilities

• Define long-term technical strategy for Data Delivery and adjacent Stats & Analytics domains.
• Lead cross-team initiatives that align groups on durable, scalable technical solutions.
• Design and evolve systems that support reporting, measurement, forecasting, billing, exports, and analytics capabilities.
• Make high-impact architectural decisions across APIs, data pipelines, data models, distributed systems, storage, and serving layers.
• Partner with product, data science, analytics, and business leaders to translate priorities into technical roadmaps.
• Mentor and coach engineers, including senior engineers, through design reviews and strategic guidance.

Skills

Technical leadership

Backend systems

System design

Trade-off analysis

Reliability improvements

Adtech familiarity

Job description

Role overview

This senior staff engineering role sits at the intersection of platform architecture and analytics infrastructure for an AI-powered advertising and marketing platform. The Data Delivery team transforms raw campaign activity, including impressions, clicks, conversions, spend, and audience reach, into trusted, actionable reporting for customers and internal teams. The position calls for broad technical leadership that shapes long-term strategy across multiple product and engineering groups.

Responsibilities

• Define long-term technical strategy for Data Delivery and adjacent Stats & Analytics domains.
• Lead cross-team initiatives that align groups on durable, scalable technical solutions.
• Design and evolve systems that support reporting, measurement, forecasting, billing, exports, and analytics capabilities.
• Make high-impact architectural decisions across APIs, data pipelines, data models, distributed systems, storage, and serving layers.
• Partner with product, data science, analytics, and business leaders to translate priorities into technical roadmaps.
• Mentor and coach engineers, including senior engineers, through design reviews and strategic guidance.

Requirements

• Experience shaping technical direction across multiple teams, domains, or large platform areas.
• Deep expertise building scalable backend services, distributed systems, or data-intensive applications.
• Strong judgment in system design, including APIs, pipelines, databases, and observability.
• Demonstrated ability to weigh trade-offs around correctness, latency, freshness, cost, and maintainability.
• History of improving reliability, scalability, data quality, and operational practices at a systemic level.

Nice to have

• Background in adtech, martech, reporting, analytics, billing, attribution, forecasting, or high-volume event processing.

Benefits and work setup

• Remote-first role open to candidates in Canada or the United States.
• Canada base salary band of CAD $260,000 to $357,500; US base salary band of USD $240,000 to $330,000, with potential eligibility for additional compensation such as bonuses or equity.
• Retirement or pension savings, generous paid time off, mental health support, health benefits from day one, parental leave, home office reimbursements, learning budgets, and structured onboarding.