Principal Software Engineer, Data Products

Responsibilities

Own the technical direction and delivery of a significant data product domain, building and operating production services, APIs, and workflows for audience creation, delivery, and advertising measurement. Partner with engineering, data science, product, sales, and external partners to turn evolving needs into reliable, scalable products while guiding technical decisions and mentoring engineers.

Requirements

Requires 15+ years of software engineering experience, including technical strategy, architectural leadership, and ownership of a data-intensive product from an ambiguous early stage through production and sustained use. Candidates should have experience with advertising or related data products, large-scale production systems, cross-team technical leadership, and strong product judgment and communication; machine learning production experience is preferred.

Skills

• Software Architecture
• Backend Development
• System Design
• Data-Intensive Systems
• Data Pipelines
• API Development
• Production Operations
• Data Quality
• Reliability Engineering
• Machine Learning Productionization
• Advertising Measurement
• Audience Products
• Technical Leadership
• Cross-Functional Collaboration
• Product Judgment
• Mentorship

About this role

Meet Fetch Engineering
At Fetch, engineering is driven by curiosity, ownership, and a bias toward
action. We operate in complex problem spaces where the right answer is not
always clear, and success depends on adaptability, critical thinking, and
informed decision-making. Our engineers are comfortable navigating ambiguity,
understanding tradeoffs, gathering context, and turning uncertainty into
progress while maintaining high technical standards.

Engineers at Fetch take pride in building reliable, scalable systems that serve
millions of users. You will contribute directly to the codebase, collaborate
closely with cross-functional partners, and help shape best practices that
elevate the quality of our work. We foster a culture of mentorship and
collaboration, where engineers grow by learning from one another and holding a
high bar for quality, reliability, and impact.

About the Role:
Fetch is expanding its data business to help brands understand what consumers
buy, reach relevant shoppers, and measure whether advertising drives incremental
purchases. We’re hiring a technical leader to build the software behind these
products, from creating and delivering audiences to running repeatable
measurement workflows. You’ll help turn early capabilities into products that
partners can evaluate, integrate, and use at scale.

This is a Principal-level individual contributor role on the software
engineering ladder within our Data organization, reporting to the VP of Data.
You’ll combine hands-on software development with architectural ownership and
technical leadership, guiding a significant product or platform domain from
early exploration through production.

You’ll work closely with Engineering, Data Science, Product, and our
go-to-market teams to determine what to build, validate it with partners, and
establish the systems needed to support a growing business.  You’ll tackle
problems such as turning a purchase-based audience into a repeatable creation,
scoring, and delivery workflow; building measurement pipelines that produce
reproducible partner results; and making new partner integrations faster through
reusable services and APIs. We’ll agree on your initial area of ownership during
the interview process, based on business priorities and your experience

This is a full-time role that can be held from one of our US offices or remotely
in the United States.

What you’ll do at Fetch: 
* Own technical direction and delivery. Define the architecture and
implementation approach for a significant area of Fetch’s off-platform data
business. Lead work from problem definition and proof of concept through
production delivery and ongoing improvement.
* Build and operate production software. Design, implement, and maintain the
services, APIs, and processing workflows behind our data products. Work with
Core Data Platform to build on shared ingestion, storage, orchestration, and
trusted data assets. Establish clear interfaces and ownership so product
teams can extend these capabilities without duplicating foundational
infrastructure
* Turn evolving needs into concrete solutions. Partner with Product, Sales, and
external partners to clarify requirements, test assumptions, and translate
feedback into practical engineering decisions.
* Make sound architectural tradeoffs. Balance delivery speed, scalability,
reliability, and maintainability, choosing solutions appropriate to the
product’s stage and partner commitments.
* Bring data science into production. Partner with data scientists to turn
audience models and measurement methods into reliable software. Build
repeatable data preparation, scoring, evaluation, and delivery workflows,
with clear versioning, monitoring, and recovery mechanisms. Jointly define
production acceptance criteria, balancing scientific validity, partner
requirements, runtime, and cost.
* Improve data quality and reliability. Build validation, monitoring, and
operational safeguards that help ensure accurate, dependable outputs and meet
agreed partner service levels.
* Lead through technical influence. Align engineers and cross-functional
partners on design decisions, resolve dependencies, and guide implementation
across the teams contributing to your domain.
* Raise the engineering bar. Mentor engineers, provide thoughtful design and
code reviews, and establish patterns that help a growing team build and
operate these systems effectively.

Minimum Requirements:
* 15+ years of software engineering experience, including setting technical
strategy, leading architectural decisions across organizations, and driving
initiatives with company-level impact.
* Demonstrated ownership of a data-intensive product from an ambiguous problem
or prototype through production launch and sustained customer or partner use.
You can explain the architectural decisions you made, what changed after
launch, and how you measured reliability, adoption, and business value
* A track record of building and operating production software, with direct
ownership of consequential architectural decisions and delivery outcomes.
* Experience building advertising platforms, audience products, measurement or
attribution systems, demand-side platforms, or closely related data products.
* Strong software engineering fundamentals, including system design, backend
development, testing, and production operations.
* Experience designing systems that process substantial volumes of data, with
an understanding of data quality, performance, reliability, and operational
tradeoffs.
* Demonstrated technical leadership of complex initiatives involving multiple
engineers or teams, including setting direction, guiding implementation, and
resolving technical disagreements.
* The ability to move work forward when requirements are incomplete, form
informed technical opinions, and adjust your approach as new evidence
...

About Fetch

Technology, Information and Internet · 501-1,000 employees · headquartered in Hybrid-remote workplace · founded 2013