Top Tech Jobs & Startup Jobs

Lead Flexera’s platform product portfolio, including the Unified Object Model, data platform, shared services, governance, AI readiness, and cross-product user experience. Define strategy, roadmaps, metrics, and adoption plans while partnering with Product, Engineering, Architecture, UX, Data, and AI leaders. Build and develop a high-performing product management team, establish operating frameworks, drive platform adoption, and translate complex technical initiatives into business value across globally distributed teams.

Build and maintain cloud-native backend services, APIs, integrations, and data pipelines using Go and Python. Own features through implementation, testing, deployment, and production support. Work with Kubernetes, containers, CI/CD, observability, and distributed systems while debugging issues and participating in design reviews. Use AI-assisted development tools responsibly to improve implementation, testing, and code exploration while validating all resulting work.

Administer and optimize NetSuite Order-to-Cash processes, including configurations, workflows, integrations, reporting, troubleshooting, permissions, and automation. Support SuiteBilling, Dunning, Advanced Revenue Management, Salesforce and Boomi integrations, data quality, system maintenance, audits, UAT, change management, and user training. Translate business requirements into scalable system solutions and improve operational effectiveness across a high-growth SaaS environment.

Lead a small autonomous engineering team combining experienced developers with AI coding agents. Own architecture, technical direction, software implementation, delivery, quality, security, reliability, and production operations. Establish AI-assisted engineering workflows, testing and deployment guardrails, and scalable development practices. Mentor two engineers, translate business objectives into technical solutions, resolve blockers, and continuously improve engineering productivity and software quality through hands-on leadership.

Leads end-to-end planning and delivery of product releases and new offerings. Defines roadmaps, milestones, and success metrics; coordinates product, engineering, design, marketing, sales, and customer success teams; manages dependencies, risks, and contingency plans; communicates progress to executives and stakeholders; and improves program management processes. Requires extensive program management experience in technology organizations and familiarity with Agile, SDLC, AI/GenAI, data, and platform architecture.

Build, test, deploy, and support production software, including product features, APIs, integrations, and internal tools. Use AI coding agents such as Claude Code and OpenAI Codex to accelerate development while reviewing generated code for correctness, security, and performance. Write automated tests, debug issues, participate in code reviews, maintain documentation, and own features through production readiness. Collaborate with engineers, clarify requirements, and continuously improve software delivery practices.

Lead complex, cross-functional software programs from planning through delivery, including product releases and new offerings. Define roadmaps, milestones, and success metrics; coordinate product, engineering, design, marketing, sales, and customer success teams; manage dependencies, risks, and contingencies; communicate progress to executives; and drive continuous process improvement.

Lead the architecture and development of scalable data platforms, Python APIs, PostgreSQL systems, CI/CD pipelines, and cloud-native infrastructure. Optimize reliability, performance, observability, and cost across data-intensive workloads. Own backend initiatives through production, collaborate across engineering teams, guide technical standards, mentor engineers, and develop AI-powered systems using Databricks, AWS, and LLM-based workflows.

Senior Product Manager responsible for the vision, strategy, roadmap, discovery, prioritization, and delivery of cloud workload optimization products. The role focuses on Kubernetes platforms, autoscaling, capacity management, reliability, scalability, and cloud cost efficiency. Responsibilities include customer research, data analysis, experimentation, cross-functional collaboration, and translating technical expertise into commercially successful B2B SaaS products.

Develop and maintain manual and automated UI, API, and backend tests for cloud-native SaaS services. Build reusable testing utilities and infrastructure, execute test suites across environments, analyze failures, and integrate automation into Jenkins and cloud-based CI/CD systems. Collaborate with distributed engineering teams on test strategies, functional validation, regression testing, test data, and environment configuration. Explore AI-assisted automation and support quality throughout the software development lifecycle.