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thatDot is seeking a Head of Product to drive product and market segment definition through proactive customer discovery. As Head of Product you will:
We’re looking for a curious, creative, driven, collaborative, customer-centered product thinker with a background in data-oriented systems. Other indicators that you may be a fit for this role are:
Support for fully-remote and in-person collaboration as it works best for individuals and the team.
As a Full Stack Engineer at thatDot, we are seeking someone who understands the crucial role that a well-designed user interface plays in user success. The ideal candidate has experience building highly scalable, low latency interfaces in the presence of large amounts of visual data. As a fast-growing team it is important that you can successfully collaborate with developers, architects, and product managers, ideally in an early stage company environment.
Support for fully-remote and in-person collaboration as it works best for individuals and the team. Some of our team is based in Portland, Oregon, but we are a remote-first company.
thatDot is seeking a Head of Product to drive product and market segment definition through proactive customer discovery. As Head of Product you will:
We’re looking for a curious, creative, driven, collaborative, customer-centered product thinker with a background in data-oriented systems. Other indicators that you may be a fit for this role are:
Support for fully-remote and in-person collaboration as it works best for individuals and the team.
thatDot is a growing company that specializes in solving high-throughput data streaming problems (entity resolution, streaming joins, ingest pipelines, incremental computation, pattern matching, etc.) using graphs.
Designing and maintaining protocols in distributed systems
Implementing new features in our querying engines and actor-based graph interpreter
Creating high-throughput back-pressured streaming pipelines
Ensuring horizontal and vertical scalability
Quine, our core technology, is a streaming graph interpreter that makes it easy to find complex patterns and anomalies in massive data streams and trigger action immediately. Built on native streaming graph technology as the result of 7+ years of DARPA-funded R&D, this hot new technology makes it easy for infinite datasets to be efficiently analyzed in real-time. Quine powers many key use cases in cybersecurity, fraud detection, data pipeline engineering, infrastructure optimization, and a long list of others.
