Job Description
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Role Overview
The Senior Software Engineer will architect, build, and optimize the high-performance advertising platform, leveraging machine learning and big data to drive significant profitability, efficiency, and scale for Audiohook's core business.
Key Responsibilities
Build and optimize a performance-based advertising service capable of servicing 10B requests per day.
Optimize bidding algorithms using machine learning models to increase profitability by 20% within 3 months of hiring.
Architect data pipelines capable of handling big data workloads.
Maintain data integrity between the data lake and reporting caches.
Reduce data processing costs by 10% within 6 months of hiring.
Complete 10-12 story points per week.
Present progress and demos in company Standup meetings twice a week.
Participate in live team code reviews.
Lead monthly Dev Tricks and Lunch and Learn presentations.
Other duties as assigned by supervisor or management.
Qualifications
Expert-level mastery of Python, Go, or Node.js. Able to work in Python.
Takes ownership over product-level architecture, projects, and personal tasks.
Collaborative — (pair programming, white boarding, code reviews, product and business discussions).
Present and involved in daily discussions.
Comfortable with taking calculated risks.
Understands trade-offs between short-term profitability and long-term stability.
Additional Requirements
If remote, willing to travel to Utah up to 1 week per month for in-office collaborative work.
Understands the strengths and pitfalls of AI Agents and frequently uses them to collaborate on, review, and write code.
About working at Audiohook
We are a small, tight-knit team punching way above our weight. Each member is a major player. No room for coasting. We're fully remote, because we hire people who are intrinsically motivated and want to be part of something bigger than themselves. If that sounds like you, we'd love to talk.
Our tech stack:
Python (our primary backend language)
PostgreSQL
Iceberg Datalake
Vue.js (front-end framework)
AWS Lambda, Firehose, Glue
Docker/DevOps Container orchestration
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Audiohook
View Company ProfileAudiohook (operating under audiohook.com) is the premier, enterprise-grade programmatic audio advertising platform, digital sound attribution pioneer, and performance-driven marketing powerhouse engineered to operate as the definitive, high-velocity audio distribution, conversion tracking, and campaign optimization layer for global consumer brands, affiliate agencies, and media buyers. The company completely eliminates the severe systemic friction of modern audio marketing—where advertisers lose immense budget momentum to untracked impressions, rigid CPM-only media models, fragmented networks, and opaque conversion analytics across disparate streaming surfaces—by deploying a unified, results-accountable advertising matrix. Moving far beyond traditional, passive radio broker networks or basic independent podcast sponsorships, Audiohook natively unifies centralized dynamic ad insertion (DAI), cross-platform programmatic targeting (spanning Spotify, Pandora, Amazon Music, iHeartRadio, and top-tier podcasts like Pod Save America), and its proprietary closed-loop TUNED™ attribution pixel into a single high-availability cloud workspace. Standing as an industry trailblazer with its highly disruptive CPA (Cost Per Action) buying model, the platform ensures brands only pay for verified actions—such as purchases, leads, app installs, or custom subscriptions—completely removing the risk of wasted ad spend. Under the hood, its sophisticated technical core deploys real-time demographic and contextual behavior-matching algorithms, granular multi-channel KPI dashboards tracking workflows from impression to checkout, and secure web tracking integrations designed to withstand intensive agency performance auditing. What sets Audiohook apart is its uncompromising dedication to replacing standard, awareness-only audio loops with absolute transactional accountability and digital revenue velocity; by bridging the gap between performance-intensive big data consumer audio attribution and frontline conversion-optimized growth channels, the firm remains the definitive cornerstone of modern algorithmic audio marketing and programmatic scaling.
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