Staff Software Engineer, Audiences

Responsibilities

You will lead the engineering behind audience products by building services for defining, scoring, and delivering audience segments to advertising partners. You will also partner with Data Science to operationalize predictive models and ensure high-quality, reproducible data workflows.

Requirements

The role requires 12+ years of professional software engineering experience with a focus on data-intensive products and distributed systems. Candidates must demonstrate strong technical leadership, experience operationalizing machine learning systems, and the ability to navigate complex architectural tradeoffs.

Skills

• Software engineering
• Distributed systems
• Data modeling
• API design
• Machine learning
• Predictive systems
• Identity resolution
• Adtech
• Data pipelines
• System architecture
• Mentorship
• Technical leadership
• Data platform
• Batch scoring
• Operational controls

Benefits

• Competitive compensation
• Equity

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 building the capabilities to turn purchase insights into a scalable
audience business. We want to help advertisers reach both known buyers and
prospective customers through predictive and lookalike audiences, combining
Fetch’s purchase data with licensed identity and attribute data to expand reach
beyond our existing users.

We’re looking for a hands-on Staff Software Engineer to lead the engineering
behind these products. You’ll partner with Data Science, Product, and Data
Platform to take audience models from prototypes to reliable products that
partners can activate through their advertising platforms.

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

Role Responsibilities: 
* Build the audience lifecycle. Develop services and workflows for defining
seed audiences, incorporating identity and attribute data, scoring eligible
populations, validating membership, refreshing segments, and delivering
audiences to partners and DSPs.
* Bring predictive and lookalike models into production. Partner with Data
Science to build repeatable training, evaluation, deployment, and
batch-scoring workflows. Make it straightforward to introduce new models,
compare versions, and refresh audiences as data and behavior change.
* Make audience activation reliable. Integrate identity mappings and
partner-specific delivery requirements. Track how audience coverage changes
through matching and delivery, diagnose losses, and build repeatable
integrations that support additional partners.
* Build quality and operational controls into the product. Version datasets,
models, and audience definitions so results are reproducible. Implement
monitoring, quality checks, safe retries, corrections, and access controls,
including enforcement of data-use restrictions.
* Lead technical execution across the domain. Shape the audience engineering
roadmap, make architecture and build-versus-reuse decisions, and guide other
engineers through delivery. Build on shared ingestion, storage,
orchestration, and governance capabilities with the core Data Platform team.

Minimum Requirements:
* 12+ years of professional software engineering experience, including
ownership of data-intensive products from design through production adoption.
* Strong coding, API design, data modeling, and distributed-systems skills.
* Experience operationalizing ML or predictive systems, including data
dependencies, evaluation workflows, deployment, batch scoring, and
monitoring.
* Demonstrated experience setting technical direction for an engineering
domain, aligning teams around architecture and priorities, and leading
complex initiatives from ambiguous requirements through production adoption.
* Experience making and evolving architectural decisions for production
systems, balancing near-term delivery with long-term reliability,
scalability, operating cost, and maintainability.
* Ability to explain technical tradeoffs, build agreement across teams, and
resolve dependencies and ownership boundaries.
* Experience increasing the effectiveness of other engineers through design
reviews, mentoring, technical standards, and breaking complex initiatives
into work that multiple engineers can deliver.
* A track record of delivering measurable outcomes and using production results
to guide improvements.
* Experience with identity resolution, audience activation, adtech, or partner
data integrations.

Compensation: At Fetch, we offer competitive compensation packages including
base, equity, and benefits to the exceptional folks we hire. Discover our
benefits and how our employees live rewarded at https://fetch.com/careers
[https://fetch.com/careers].

About Fetch

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