What you will do

Own the execution success of the quarterly roadmap for the Detection Fundamentals team; engage continuously with the Tech Leads to adjust and prioritize current roadmap items according to team’s charter and company priorities.
Deliver on:

Business criticality module to automatically maintain precision of the detection engine at both overall and individual customer levels.
Standardizing and scaling the message decisioning systems as new heuristics and ML detectors are added to the system.
Cost efficacy projects to help scale the detector decisioning infrastructure costs as the scale of customers and messages processed grow.

Own both directly customer impacting metrics and system metrics and able to work with the team to proactively identify and repair degradations:

High Precision metrics for both onboarded and new customers
Automation metrics for responses to customer specific requirements
System metrics related to scaling of detectors including efficiency and health metrics

Own the business logic layer for signal generation for both message metadata/content and current/historical user behaviour, and systems and processes to continuously adapt and improve signals.
Make sure the team delivers on projects that are set by TLs as part of the technical roadmap.

Manage the quarterly roadmap updates, project time estimates, weekly sprint planning, day-to-day standups
Identify risks on project delivery (technical, operational, dependency risks) and escalate to appropriate technical leads
Able to assess progress in a metrics-oriented manner

Drive Stakeholder alignment
(i) represented to the TLs of the Detection Fundamentals team to propose future roadmap items according to team’s charter and company priorities
(ii) tracked and communicated to stakeholders

Solicit input from teams that are customers of the Detection Fundamentals team (MD Attack, DSS, GTM etc), and ensure that the input is

Must Haves

1+ years experience of managing data-oriented product teams running at medium-large data scale and ability to guide a team technically in this respect.
4+ years of hands-on experience in engineering preferably building and safely shipping data-oriented products or ML adjacent systems at high velocity.
Metrics driven culture: Has led a team of engineers in building out systems and displayed the ability to define metrics of excellence and setup processes to continuously monitor and maintain high standards on metrics.
Be Customer obsessed: Worked with multiple stakeholders to gather requirements and then prioritize and balance against the team's roadmap.
Set High standards - sets high standards and expectations for project execution for themselves and the whole team.
Ability to hire and retain top talent

Familiarity with ML models, feature engineering knowledge, ML model work
Familiarity with cyber security industry
MS degree in Computer Science, Electrical Engineering or other related engineering field

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