
51 - 200 employees
🔒 Cybersecurity
💰 $30M Series A on 2023-01
Cybersecurity
Sentra is a cloud-native data security platform that discovers, classifies, prioritizes, and remediates critical data security risks. The company ensures data security regardless of location or travel methods by automatically detecting vulnerabilities, misconfigurations, and unauthorized access. Combining Data Security Posture Management, Data Detection and Response, and Data Access Governance, Sentra enhances security posture and compliance adherence. Founded in 2021, it is co-headquartered in New York City and Tel Aviv.
🔥 12 hours ago
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51 - 200 employees
🔒 Cybersecurity
💰 $30M Series A on 2023-01
Cybersecurity
Sentra is a cloud-native data security platform that discovers, classifies, prioritizes, and remediates critical data security risks. The company ensures data security regardless of location or travel methods by automatically detecting vulnerabilities, misconfigurations, and unauthorized access. Combining Data Security Posture Management, Data Detection and Response, and Data Access Governance, Sentra enhances security posture and compliance adherence. Founded in 2021, it is co-headquartered in New York City and Tel Aviv.
• Build and enhance the revenue data platform, AI automations, and workflows, including CRM-to-warehouse sync, enrichment and scoring pipelines, and revenue forecasting systems • Operate, improve, and maintain the reliability of revenue data and AI processes • Own full revenue lifecycle systems management from first touch through renewal and expansion, including demand capture, lead flow, pipeline, and forecasting • Create analytics infrastructure for business decision-makers • Ensure published numbers are versioned and carry an explanation • Drive adoption by measuring whether sales representatives use built systems • Identify revenue leakage, build systems to close gaps, and own both commercial reasoning and the AI systems that support revenue teams • Take over, own, harden, and extend existing production systems
• LLM tooling as an engineer, not a consumer; built something where an LLM is a component in a pipeline and can explain how output was verified • Agentic coding tools such as Claude Code, Cursor, or equivalent • 5+ years in GTM operations, sales engineering, revenue operations, marketing operations, or sales systems at a B2B SaaS company • Experience preferably at high-growth startups scaling from $10M–$100M+ ARR • SQL fluency, including joins and window functions • Git fluency, including branches, pull requests, code review, and resolving conflicts • Practical scripting and API experience with Python, TypeScript, or JavaScript • Ability to read API documentation, handle authentication, paginate responses, and manage rate limits • Deep Salesforce knowledge: object model design, record-triggered flows, sharing, field-level security, and formula fields • Enterprise marketing automation experience; Marketo strongly preferred, with Pardot, Eloqua, or comparable systems considered • Commercial judgment to identify stalled deals in data and explain their business impact
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