Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more. Backed by IVP and Redpoint.
About the role
Define and own the core metrics for how Netflix understands infrastructure cost, usage, and efficiency across its compute, storage, streaming, and machine learning platforms, and expand that coverage as the footprint grows. Help pioneer new ways to measure the productivity impact of AI tooling and autonomous agents, shaping frameworks that leadership across the company will use to guide investment. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experienced in metric research and development in a technical domain: you build metric frameworks (not just one-off metrics) at multiple granularities that ladder up to a coherent whole, and you set targets people trust
- Self-sufficient across the full analytics loop: data exploration, cleaning, light pipeline building, business logic, and dashboards. Fluent in Python and SQL
- At home in messy, changing data, with the judgment to know when a number is right and when it needs a second look
- An exceptional communicator with both technical and non-technical audiences, experienced at telling stories with data and influencing decisions at all levels of the business
- A strong product thinker with good product sense: you get at what your partners actually need and build solutions that satisfy it
- Comfortable with ambiguity, and you thrive with minimal oversight and process
More about this role
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Everything that we build to delight our members relies on our extensive technical infrastructure, which spans from services we rent from AWS to our custom-built content delivery network, Open Connect . As that infrastructure grows, so does investment in AI tooling, and understanding how efficiently we use both is central to Netflix's investment decisions.
As a Senior Analytics Engineer on Platform Data Science & Engineering, you will own how Netflix understands the efficiency of its cloud and AI infrastructure. You will join a data org of Analytics Engineers, Data Engineers, Visualization Engineers, and Data Scientists who partner with engineering teams and leadership to define the metrics, build the datasets, and deliver the insights that the company relies on to spend wisely. Your work will be the trusted...
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