Staff Software Engineer, Audiences

Fetch is hiring a Staff Software Engineer, Audiences for a remote role open to applicants in United States. Level rates it ; you can apply on Fetch.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
This is listed as a remote role.
Level classes it as a lead role.
Fetch has 78 other open roles on Level.
Posted in the last few days.

AI in this role

What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
Meet Fetch EngineeringAt 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.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:

Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
Continuing Education: Fetch provides ten thousand per year in education reimbursement.
Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more!
Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.

How we rate this

Staff Software Engineer, Audiences at Fetch rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.