About the Role
We are seeking an exceptional researcher with a strong track record in leadership and management, capable of effectively collaborating across teams and functions to define, research, and bring novel technical ideas to life and in the hands of customers.
As a research manager for Internet Insights, you will lead a team of researchers, data scientists, and engineers with the mission to create the Google Maps of the Internet! At ThousandEyes, we have access to an unparalleled dataset gathered from some of the world's most extensive enterprise and public networks. This data provides us with an unmatched broad and deep internet-scale visibility. You will own research projects that leverage this data to design algorithms and solutions that provide data-driven insights into how applications, networks, CDNs, etc are performing across the internet.
You will work closely with the product team to understand customers’ daily operational challenges and translate them into technical challenges. You will then lead your team of researchers in designing algorithms and building PoCs to solve these challenges. Finally, you will collaborate with engineering teams to productionize your research PoCs, delivering valuable solutions into the hands of our customers.
In this role, you will directly impact product definition, planning, strategy, and implementation
Qualifications
Education: PhD or MS in Computer Science
Experience:
- 5+ years of management experience
- Proven track record of managing research teams and leading projects from inception to production
- Demonstrated success in leading cross-functional teams and projects
- Established portfolio of network measurement research projects
Expertise:
- Deep understanding of internet architecture (applications, CDNs, BGP, etc.)
- In-depth knowledge of Internet protocols (TCP/IP, UDP, TLS, DNS, BGP, HTTP, etc.)
- Proficiency in Python
- Proficiency with network monitoring tools (e.g., tcpdump, ping, etc.)
- Experience with SQL and NoSQL databases (e.g., MongoDB, Hadoop)
- Experience with data science and MLOps tools (e.g., Spark, Flink)
- Experience in developing AI/ML solutions, preferably within networking
Communication:
- Exceptional written, verbal, and persuasive communication skills