Cisco ThousandEyes is a digital experience assurance (DXA) SaaS platform which applies machine-learning capabilities on top of synthetic active monitoring conducted from points of visibility around the world to surface actionable insights about the performance and reliability of critical applications and network infrastructure and provide customers a way to go from a telescope view to a microscope view of any issue to understand its blast radius and quickly get to MTTI/MTTR. ThousandEyes was acquired by Cisco at the end of 2020 and remains a fast-growing portion of the overall Cisco portfolio.
We are looking for three Technical Product Managers to join our world-class Product team. One role is on our platform team with a focus on Open Telemetry and API capabilities. Two roles are on my team within our agents organization focused on harmonizing our core capabilities across the many different points of visibility we support deploying agents to. Successful candidates for these roles should be technical, first and foremost, with a preference for people with an engineering and CS background. We believe it requires strong technical fundamentals to fully understand our product which primarily serves technical practitioners like SRE, NetOps, and IT teams.
To apply, do so through our Greenhouse portal accessible from the careers page at https://www.thousandeyes.com/careers/product. Two of the roles have reqs up today, the third role will have a req posted before the end of this week.
> "Cisco ThousandEyes is a digital experience assurance (DXA) SaaS platform which applies machine-learning capabilities on top of synthetic active monitoring conducted from points of visibility around the world to surface actionable insights about the performance and reliability of critical applications and network infrastructure and provide customers a way to go from a telescope view to a microscope view of any issue to understand its blast radius and quickly get to MTTI/MTTR."
With a search paradigm this wasn't an issue as much, because the answers were presented as "here's a bunch of websites that appear to deal with the question you asked". It was then up to the reader to decide which of those sites they wanted to visit, and therefore which viewpoints they got to see.
With an LLM answering the question, this is critical.
To paraphrase a recent conversation I had with a friend: "in the USA, can illegal immigrants vote?" has a single truthful answer ("no" obviously). But there are many places around the web saying other things (which is why my friend was confused). An LLM trawling the web could very conceivably come up with a non-truthful answer.
This is possibly a bad example, because the truth is very clearly written down by the government, based on exact laws. It just happened to be a recent example that I encountered of how the internet leads people astray.
A better example might be "is dietary saturated fat a major factor for heart disease in Western countries?". The current government publications (which answer "yes") for this are probably wrong based on recent research. The government cannot be relied upon as a source of truth for this.
And, generally, allowing the government to decide what is true is probably a path we (as a civilisation) do not want to take. We're seeing how that pans out in Australia and it's not good.
Independent Tribunal: https://www.independenttribunal.org/ (a project of mine)
Even in the of law there are various schenanigans and loopholes such as "legally true" :)