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Requirements:
Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
Bachelors degree or equivalent practical experience.
Preferred qualifications
Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

Requirements:
Experience in Sales Operations, Revenue Operations, Commercial Operations, or a similar business-facing role.
Hands-on experience with Salesforce, including dashboards, reports, pipeline management, and data quality.
Strong analytical skills with proven ability to build reports, track KPIs, and translate data into business insights.
Experience working with or supporting global sales teams or senior commercial leadership.
Full professional proficiency in English, including daily written and verbal interaction with global stakeholders.
Practical experience using AI tools to improve productivity, reporting, or operational workflows.
Advantages
Experience in SaaS, enterprise software, fintech, or another complex B2B technology environment.
Experience supporting QBR processes, forecasting cycles, or executive business reviews.
Familiarity with BI tools such as Power BI, Tableau, or Looker.
Experience with sales enablement, onboarding coordination, or process adoption programs.
Additional languages beyond English.
Skills
Highly analytical with strong attention to detail and a natural ability to connect data to business outcomes.
Proactive and self-driven, someone who identifies problems and acts on them without being prompted.
Strong commercial mindset and genuine interest in how sales organizations operate and grow.
Excellent communication skills, both written and verbal, with the ability to present clearly to senior stakeholders.
Highly organized with the ability to manage multiple priorities simultaneously.
Comfortable working independently in a fast-moving, global environment.
AI-driven approach to work, with a genuine interest in using modern tools to work smarter and faster.
Eager to learn, grow, and take on increasing responsibility over time.

Requirements:
At least 3 years of experience managing a store, smart warehouse, or logistics center - required.
Strong technological aptitude and ability to work with reports and performance monitoring.
Full proficiency in Hebrew and English - required.
Full-time availability, Sunday-Thursday.
This role is open to all genders.