Careers: explore opportunities with Versatile.

Versatile is an innovative AI-driven construction intelligence startup committed to transforming the construction industry with cutting-edge technology. Our mission is to enhance construction projects’ efficiency, safety, and productivity through intelligent solutions.

If you are a dynamic self-starter with a passion for introducing cutting-edge technologies to major industries that shape our world, and you excel in consultative sales, this is the opportunity for you.

As an Account Manager, you will play a critical role in executing our Go-to-Market strategy and driving success in your assigned territory.

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• Make outside, face-to-face sales to an assigned set of customers within your geographic territory, strengthening Versatile’s position and market share.
• Build account development plans for up to ten customer hierarchies to drive strategic initiatives and local opportunities.
• Work under the guidance of VP Sales  to implement enterprise  agreements.
• Demonstrate consultative selling, collaborating with customers to assess their needs and propose solutions.
• Conduct live, in-person demos of Versatile’s technology with customers.
• Identify key roles on construction sites, understand their responsibilities and pain points, and secure meetings with executive-level decision-makers.
• Collaborate with multiple internal departments including Product Management, Logistics, Credit, Marketing, Technical Services, and Customer Success.
• Represent Versatile in construction industry trade organizations to build relationships, expand your network, and understand local competitive offerings.

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• 3+ years in B2B sales or account management in construction technology.
  Demonstrated ability to develop and execute detailed and structured sales processes and manage multiple priorities simultaneously.
• Bachelor’s degree in Business, Marketing, Engineering, or a related field. 
• Proficiency with CRM tools (e.g., HubSpot or Salesforce) and the ability to interpret and analyze sales data.
• Ability to leverage AI-driven tools (e.g., ChatGPT, Gemini, MSFT Copilot) to streamline workflows, enhance communication, and support data-informed selling.
• Understanding of construction workflows, technology adoption, and customer pain points.
• Strong written and verbal communication skills, with the ability to engage effectively with diverse stakeholders.
• Proactive approach to identifying challenges and implementing solutions.
• Willingness to travel 50% of the time within the assigned territory.

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Versatile is an innovative AI-driven construction intelligence startup, committed to transforming the construction industry with cutting-edge technology. Our mission is to enhance the efficiency, safety, and productivity of construction projects through intelligent solutions.

We’re hiring a hands-on Senior Data Engineer who wants to build data products that move the needle in the physical world. Your work will help construction professionals make better, data-backed decisions every day. You’ll be part of a high-performing engineering team based in Tel Aviv.

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• Lead the design, development, and ownership of scalable data pipelines (ETL/ELT) that power analytics, product features, and downstream consumption.
• Collaborate closely with Product, Data Science, Data Analytics, and full-stack/platform teams to deliver data solutions that serve product and business needs.
• Build and optimize data workflows using Databricks, Spark (PySpark, SQL), Kafka, and AWS-based tooling.
• Implement and manage data architectures that support both real-time and batch processing, including streaming, storage, and processing layers.
• Develop, integrate, and maintain data connectors and ingestion pipelines from multiple sources.
• Manage the deployment, scaling, and performance of data infrastructure and clusters, including Spark on Kubernetes, Kafka, and AWS services.
• Manage the deployment, scaling, and performance of data infrastructure and clusters, including Databricks, Kafka, and AWS services.
• Use Terraform (and similar tools) to manage infrastructure-as-code for data platforms.
• Model and prepare data for analytics, BI, and product-facing use cases, ensuring high performance and reliability.

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• 8+ years of hands-on experience working with large-scale data systems in production environments.
• Proven experience designing, deploying, and integrating big data frameworks - PySpark, Kafka, Databricks. 
• Strong expertise in Python and SQL, with experience building and optimizing batch and streaming data pipelines.
• Experience with AWS cloud services and Linux-based environments.
• Background in building ETL/ELT pipelines and orchestrating workflows end-to-end.
  Proven experience designing, deploying, and operating data infrastructure / data platforms.
• Mandatory hands-on experience with Apache Spark in production environments. 
• Mandatory experience running Spark on Kubernetes.
• Mandatory hands-on experience with Apache Kafka, including Kafka connectors.
• Understanding of event-driven and domain-driven design principles in modern data architectures.
• Familiarity with infrastructure-as-code tools (e.g., Terraform) — advantage.
• Experience supporting machine learning or algorithmic applications — advantage.
• BSc or higher in Computer Science, Engineering, Mathematics, or another quantitative field.

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