BizOps Engineer (AI-native)
פורסם 6 באוג׳ · 0 מועמדים
התפקיד במילים פשוטות
תפקיד זה כולל תכנון ותחזוקה של פלטפורמת AI פנימית, לצד בנייה מעשית של פתרונות AI ואוטומציות עבור מחלקות שונות בחברה כמו מכירות, משאבי אנוש וסייבר. בעל התפקיד יעבוד מול סמנכ"ל המחקר והפיתוח, ויפתח כלי AI מותאמים אישית תוך דאגה לאבטחת מידע וממשק למערכות קיימות. בהמשך, התפקיד מיועד להתרחב לניהול צוות הנדסי ייעודי.
- 5+ years in software engineering, DevOps, or business systems engineering
- Deep technical proficiency in AI-native tools (LLMs, RAG, agentic workflows)
- Hands-on experience building complex API-first integrations and data pipelines
- Strong product sense and intuition for user needs to design ROI-driven internal tools that translate operational bottlenecks into technical requirements
- Ability to operate as an individual contributor with vision and capability to build and lead an engineering team as the function scales
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסי תוכנה, DevOps או מערכות עסקיות עם מעל 5 שנות ניסיון ורקע חזק בכלי AI מתקדמים (כגון LLM ו-RAG) ופיתוח צינורות נתונים. הוא פחות מתאים למי שאינו מעוניין בעבודה מעשית (IC) או בחשופה רחבה לצרכים תפעוליים ועסקיים של מחלקות שונות.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןWe are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
About Us
Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.
Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.
Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 100 with offices in California, New York and Tel Aviv.
Responsibilities:
• Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
• Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
• Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
• Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.
Requirements:
• 5+ years in software engineering, DevOps, or business systems engineering.
• Deep technical proficiency in AI-native tools (LLMs, RAG, agentic workflows) and hands-on experience building complex API-first integrations and data pipelines.
• Strong product sense and intuition for user needs to design ROI-driven internal tools that translate operational bottlenecks into technical requirements.
• Ability to operate effectively as an individual contributor today while possessing the vision to build and lead an engineering team as the function scales.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 5+ years in software engineering, DevOps, or business systems engineering, Deep technical proficiency in AI-native tools (LLMs, RAG, agentic workflows), Hands-on experience building complex API-first integrations and data pipelines, Strong product sense and intuition for user needs to design ROI-driven internal tools that translate operational bottlenecks into technical requirements, Ability to operate as an individual contributor with vision and capability to build and lead an engineering team as the function scales