Jobs at Vena Solutions

Lead architecture and hands-on development for Vena's C#/.NET Excel desktop add-in. Drive feature design, upgrades, performance optimization, complex bug fixes, cross-team collaboration, mentoring, and technical initiatives to improve code and product quality while working on a distributed, remote-first team.

Design, build, monitor and scale an enterprise data warehouse and pipelines. Lead data integration, ETL design, source-to-target mapping, reusable frameworks, automated testing/CI, and partner with stakeholders to deliver secure, governed analytics for product, marketing and HR use cases.

Design, build, and maintain high-quality front-end features and reusable UI components for a cloud-native SaaS product. Contribute to and maintain the design system, resolve complex front-end bugs and performance issues, modernize the frontend stack, collaborate with cross-functional teams, mentor junior developers, and drive adoption of AI-driven development practices and engineering excellence.

Lead a backend Core Engineering team to deliver and modernize Vena's core platform. Provide technical leadership, hands-on engineering, system design, risk mitigation, mentoring, roadmap execution, and champion engineering best practices and AI-driven tooling to improve productivity and codebase health.

Architect and modernize Vena’s cloud-native backend platform. Lead design, performance optimization, and complex bug resolution. Mentor engineers, drive major technical initiatives, partner with product/architecture, and adopt AI-driven tooling to improve code quality, performance, and delivery.

Lead and deliver front-end engineering for a cloud-native SaaS product: drive architecture and design system ownership, modernize core front-end infrastructure, mentor engineers, manage technical debt and roadmaps, collaborate with PMs and designers, and contribute hands-on code while promoting AI-driven development practices to improve productivity and quality.

Build, maintain, and modernize front-end features and design system for Vena's core platform. Fix complex bugs and performance issues, conduct code reviews, collaborate with cross-functional teams, improve testing and accessibility, mentor teammates, and drive adoption of AI-driven development practices.

Own product execution for Insights by collaborating with product managers, designers, and engineers to define requirements, set KPIs using data insights, drive adoption, monitor releases against acceptance criteria, improve agile practices, and influence strategic product vision to deliver commercial impact.

Own and drive solution architecture and roadmap for cloud SaaS product features. Translate business requirements into resilient designs, validate engineering implementations, support Scrum teams, maintain architecture artifacts, participate in governance, and run PoCs to promote innovation while ensuring non-functional requirements and security standards.

Maintain and upgrade software, hardware, and network infrastructure; provide L2 support; manage IAM, backups, security (patching, antivirus, firewalls, IDS) and Vena servers; administer LAN/WAN services; document procedures and collaborate with cross-functional teams and vendors to ensure reliable IT operations.

Develop scalable, performant back-end components for a SaaS cloud product: write clean code, prototype, refactor, optimize, and contribute to CI/automated testing. Collaborate cross-functionally, adopt modern cloud technologies, and work in an Agile environment.

Perform high-volume outbound prospecting to engage SMB, Mid-market and Enterprise prospects. Qualify leads, converse with C-level and managers, build pipeline with Regional Sales Managers, drive attendance to webinars/events, track activity in Salesforce, and support marketing initiatives to influence the market.

Develop and deliver scalable SaaS features, focusing on backend systems. Perform code reviews, improve code quality, mentor and coach developers, prioritize work, communicate across teams, and drive development best practices and initiatives.

Join the STO team to improve observability, scalability, stability and security of a SaaS platform. Support ITIL processes, define runbooks, triage incidents to meet SLAs, maintain live services, troubleshoot root causes, work with IaC and CI/CD, collaborate cross-functionally, report performance metrics, and participate in on-call rotation.

Lead and grow one or more software development teams in an agile SaaS environment. Define roadmaps with Product and Architecture, drive delivery and quality, mentor engineers, recruit and onboard talent, remove blockers, monitor team health, communicate with stakeholders, and champion AI-driven tooling and process improvements to boost engineering productivity.

Execute post-implementation configuration, testing, and optimization of Vena solutions to support customer adoption. Configure data models, templates, reports, workflows, and integrations; validate data feeds; troubleshoot issues; document changes; and contribute reusable templates and best practices to improve adoption, efficiency, and retention metrics.

Designs and builds scalable, resilient services; guides teams on architecture and automation; resolves difficult bugs; drives product-quality and performance initiatives; engages cross-team stakeholders and fosters engineering excellence.

Own and execute integrations product work with product managers, designers, and engineers. Define requirements, validate hypotheses using data, assess release outcomes, monitor delivery, improve agile practices, and drive strategic product vision to deliver data integration and ETL features for a B2B SaaS product.

Implement Vena for customers: configure data models, financial templates and reports, integrate data, automate workflows, run workshops to gather requirements, enable adoption, and work with Project Managers to deliver projects on time and on budget.

Lead a software engineering team for a cloud-native SaaS product, drive system design with architects, deliver high-impact product enhancements, mentor engineers, improve codebase quality, manage roadmaps and risks, and promote AI-driven development and engineering best practices.