Senior/Staff Backend Engineer (Data & Platform)

Why this role

Help build the backbone of audio measurement. Podscribe is the industry standard for attribution and incrementality in podcast and digital audio, trusted by advertisers, agencies, and publishers to make better, faster decisions.

We’re growing quickly and pushing the limits of innovation in audio. We are looking for someone to help architect and ship systems that process billions of rows of data to verify ads, model performance, and surface actionable insights. At Podscribe, we iterate quickly and focus on outcomes. Our engineers have extensive flexibility and ownership and there is tons of opportunity to innovate and grow. 

What you’ll do

• Design & deliver high‑scale backend services that analyze, process, and model large datasets with reliability and speed.
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• Build platforms & tooling other teams can extend such (APIs, data services, internal developer tools etc)
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• Experience end‑to‑end ownership, from ideation to architecture to implementation to deployments, you will own complete systems and features
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• Lead major platform initiatives; set technical direction and raise the quality bar for performance, correctness, and cost efficiency.
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• Partner across the stack contributing UI when needed to ship complete features
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• Collaborate with customers and go‑to‑market partners to deeply understand use cases and translate them into product and platform capabilities.
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• Champion data: statistical thinking, experiment design, and metrics that matter (familiarity with ML/stat modeling is a plus).
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Example projects you may tackle

• Optimization engine that selects which downloads to insert ads into based on historical and real‑time performance signals.
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• Data pipelines & deployment systems for statistical/ML models, from training to serving to monitoring.
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• Large‑scale data graph over billions of rows to enhance attribution and incrementality solutions.
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• Enhanced radio modeling: unify new data sources and combine multiple models to produce robust results.
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• AI insights: develop a system that utilizes SOTA AI models to provide insights and simplify workflows for our customers
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Our environment

• Stack: Python, TypeScript/Node.js, Go, React. The language is less important than your craft.
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• Cloud: Deep in AWS (experience helpful but not required).
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• Databases: Clickhouse, PostgreSQL, Redis, DynamoDB
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• Domain: cross‑channel measurement (podcast, streaming, CTV, radio) with pixel‑based attribution and household‑level insights.
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• Thought leadership: monthly rankings and quarterly benchmark reports keep us, and the market, data‑driven.
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What will make you successful here

• 5+ years writing production code with a track record of shipping durable systems.
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• Data platform experience: pipelines, ETL/ELT, event‑driven systems, and schema design.
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• Systems mindset: you’ve built for scale and reliability and can profile, optimize, and tune costs.
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• Platform builder: you’ve created tools or services that others build on top of.
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• Product sense: you sweat the edge cases and the user experience, not just the happy path.
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• Clear communicator: crisp writing and thoughtful async collaboration; comfortable meeting with customers.
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• Ownership: self‑directed, comfortable with ambiguity, and motivated to turn messy into measurable.
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• Nice to have: familiarity with statistical modeling or ML; experience across AWS services.
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How you’ll grow

• Massive impact: your work directly shapes how the market measures and optimizes audio advertising.
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• Room to innovate: prototype, test, and iterate, then scale what works.
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Lead beyond title: drive technical strategy, mentor teammates, and influence product direction.