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Requirements:
Direct senior account management experience in the EDA or IC design space with a proven track record of planning, negotiating, and closing deals with complex global accounts
Demonstrated expertise in partnership-building and relationship management, both internally and externally; ability to build trust quickly with senior leaders and motivate cross-functional teams
Strong business judgment with a track record of delivering results optimized at the company level while supporting team and individual success
Excellent ability to manage competing priorities, address problems proactively, and deliver solutions in a timely manner
Outstanding interpersonal, oral, and written communication skills, with the ability to present effectively to all organizational levels, including executive and C-level leadership
Bachelor's degree in Electrical Engineering, Computer Science, or equivalent combination of education and experience.

Requirements:
4+ years experience as a Senior Data Engineer / Data engineer lead (Hands-On) / Data architect - working with Cloud environments
Experience in leading and implementing end to end complex Data pipelines and data platforms
Experience with collecting , analyzing and syncing complex data requirements from various data users such as: Data Analysts , Developers , Researchers and Managers
4+ years Experience with Data Modeling using various Data platforms and databases
4+ years Python experience - focused on Data related areas and distributed processing (Experience with at least one of the following:
Spark, GCP DataFlow (Apache Beam), GKE , etc)
Experience with Docker & Kubernetes / GKE
4+ Years experience with Cloud MPP Databases / Data Lakes such as: BigQuery , Redshift , Snowflake , Azure SQL DWH , Azure Kusto
Fluent with SQL
AI:
Using AI as part of the development cycle is second nature for you.
Experience generating code via Prompts and closing the loop by reviewing and testing
Experience writing MCPs , Skills and mds
Soft skills:
Collaborative Mindset: A team-first leader who believes that the best data products are built through collective genius and open communication.
Bridge Builder: Naturally connects the dots between diverse teams-from DevOps to Data Science-to break down silos and streamline data delivery.
Growth-Minded: Approaches feedback as a tool for evolution; possesses the grit to pivot and find the "silver lining" in complex technical setbacks.
Execution Passionate: Genuinely loves the "how" as much as the "what," finding joy in the pursuit of clean code and the deployment of mission-critical pipelines.
Preferred Qualifications
GCP experience
Data science background
Cyber security knowledge.

Requirements:
Your Experience
8+ years of experience as a software engineer.
Deep understanding of prompting and context management.
Hands-on experience building and running LLM-based systems in production.
Experience defining system architectural vision end-to-end.
Capability to define scalable data-driven standards.
Strong Python skills, with working knowledge of Go.
Experience with end-to-end codebase ownership, including CI/CD, testing, and releases.
Familiarity with security and automationworkflows, APIs, integrations, and building automated responses.