Ververica | Original creators of Apache Flink®

Role Description We're looking for a Deal Desk Analyst (m/f/d) to join our Revenue Operations team. This role sits at the intersection of sales, finance, and legal, where you'll structure deals, ensure pricing accuracy, and remove friction from the sales process. You'll work directly with our sales team to close complex enterprise agreements while maintaining compliance and optimizing deal structure. - Deal Structuring and Support - Review and approve non-standard deal requests, including pricing exceptions, custom terms, and multi-year agreements - Partner with sales to structure deals that balance customer needs with company objectives - Provide guidance on contract terms, discount approvals, and negotiation strategies - Ensure all deals comply with company policies and approval workflows - Process Management - Own the end-to-end deal approval process from initial request to contract execution - Maintain and improve deal desk workflows and playbooks - Reduce quote-to-cash cycle time by identifying and eliminating bottlenecks - Coordinate cross-functionally with sales, legal, finance, and revenue operations teams - Systems and Data - Manage deal data in our CRM (HubSpot) and CPQ systems - Ensure data accuracy across all revenue systems - Build and maintain reporting dashboards for deal metrics and approval turnaround times - Document processes and maintain knowledge base resources for the sales team - Analysis and Optimization - Analyze deal trends to identify patterns in pricing, discounting, and terms - Provide insights to leadership on deal velocity, win rates, and margin impact - Recommend process improvements based on data and sales feedback - Support quarterly business reviews with deal performance analysis Qualifications - 3+ years of experience in deal desk, sales operations, or revenue operations - Strong understanding of SaaS business models and enterprise sales cycles - Experience with CPQ (Configure, Price, Quote) tools and contract management - Analytical mindset with the ability to balance speed and accuracy - Clear written and verbal communication skills - Comfortable working cross-functionally with sales, legal, and finance teams - Detail-oriented with strong organizational skills Requirements - Experience with HubSpot CRM and workflows - Familiarity with billing and revenue recognition platforms (Maxio or RevOps.io) - Background in B2B SaaS or enterprise software - Understanding of subscription pricing models and revenue metrics - Experience working with international deals and multi-currency contracts Benefits - Technical Excellence: Work with the original creators of Apache Flink and some of the brightest minds in stream processing - Enterprise Impact: Support deals with global brands solving mission-critical challenges - Growth Opportunity: Join a fast-growing company at the forefront of real-time data and AI - Collaborative Culture: Work with a team that values clarity, speed, and customer success - Remote-First with Real Flexibility: Work from wherever you're most productive - home, a coworking space, or one of our offices when you want a change of scenery. We meet in person a few times a year because some conversations are just better face-to-face.

• Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. • Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. • Diagnose and resolve correctness, performance, and stability issues in distributed production environments. • Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. • Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. • Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the RoleWe are building the next generation of stream-native storage systems centered around table semantics — not just logs. Our Stream Storage team develops high-performance distributed systems that power real-time analytics, streaming pipelines, and transactional workloads. As a Senior Software Engineer, you will contribute to core stream storage infrastructure, Apache Fluss (open-source), and internal production-grade systems built on Fluss. This role sits at the intersection of distributed systems, storage engines, streaming systems, and database internals. What You’ll DoCore Engineering - Design and implement distributed storage components for streaming tables - Work on table lifecycle: schema evolution, ingestion, compaction, retention, indexing - Enhance the Fluss Lakehouse ecosystem support - Contribute features and fixes to the Apache Fluss OSS project - Participate in design discussions and Fluss Improvement Proposals (FIPs) - Improve Fluss table engine performance and reliability - Enhance integration with streaming engines (e.g., Flink) - Engage with the open-source community via PR reviews and discussions Internal Platform Development - Build internal tooling and services on top of Fluss - Improve observability (metrics, logging, failure diagnostics) - Optimize production deployments - Contribute to benchmarking and testing frameworks

About the Role We are building the next generation of stream-native storage systems centered around table semantics — not just logs. Our Stream Storage team develops high-performance distributed systems that power real-time analytics, streaming pipelines, and transactional workloads. As a Senior Software Engineer, you will contribute to core stream storage infrastructure, Apache Fluss (open-source), and internal production-grade systems built on Fluss. This role sits at the intersection of distributed systems, storage engines, streaming systems, and database internals. What You’ll Do Core Engineering - Design and implement distributed storage components for streaming tables - Work on table lifecycle: schema evolution, ingestion, compaction, retention, indexing - Enhance the Fluss Lakehouse ecosystem support - Contribute features and fixes to the Apache Fluss OSS project - Participate in design discussions and Fluss Improvement Proposals (FIPs) - Improve Fluss table engine performance and reliability - Enhance integration with streaming engines (e.g., Flink) - Engage with the open-source community via PR reviews and discussions Internal Platform Development - Build internal tooling and services on top of Fluss - Improve observability (metrics, logging, failure diagnostics) - Optimize production deployments - Contribute to benchmarking and testing frameworks