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SmartBear specializes in quality-driven software, offering HaloAI-powered visibility and automation, and is trusted by over 16 million developers across 32,000+ organizations—including Adobe, JetBlue, FedEx, and Microsoft. The Enterprise Renewals Specialist will build enduring customer relationships, act as a trusted advisor, and drive retention, loyalty, and growth as SmartBear expands globally. Responsibilities include strategic customer engagement, ensuring retention and lifetime value, driving onboarding and adoption to maximize license utilization, expanding accounts through needs-based upsell and cross-sell, and monitoring product experiences with actionable recommendations. Requirements include 1–2 years in a customer-facing role, a bachelor’s degree or equivalent, software sales/account management/customer success experience preferred, strong customer focus, excellent communication, and the ability to consult remotely or onsite with a collaborative, problem-solving mindset. SmartBear promotes career growth, a People and Culture approach, diversity and well-being, social responsibility, global offices, and industry awards, and is an equal opportunity employer.

SmartBear offers quality software solutions across the SDLC—Swagger for APIs, BugSnag for Observability, and Zephyr for Testing—enhanced by SmartBear AI, trusted by over 16 million developers at 32,000+ organizations including Adobe, JetBlue, FedEx, and Microsoft. The Digital Customer Success Manager role focuses on onboarding, adoption, and scalable digital engagement, using product usage data, segmentation, lifecycle insights, and AI-enabled workflows to automate and personalize journeys. Responsibilities include owning digital CS programs across onboarding, adoption, and ongoing engagement; engaging customers through 1:many and 1:few channels; monitoring health signals and milestones; and collaborating with Product, Marketing, and global teams. Requirements include 2–5 years in customer-facing SaaS roles, experience with pooled or digital CS models, strong analytics and CRM/CS tool skills, and familiarity with automation and AI-enabled personalization. Why join: opportunities for growth, a people-centric and inclusive culture, global offices and awards, and a commitment to equal opportunity and making the technology-driven world better.

SmartBear emphasizes quality in software and offers AI-powered solutions across the SDLC, including Swagger for APIs, BugSnag for Observability, and Zephyr for Testing, delivering visibility and automation. The company is trusted by over 16 million developers and 32,000+ organizations such as Adobe, JetBlue, FedEx, and Microsoft. The Customer Success Manager (Migrations) leads structured customer transitions from legacy products to SmartBear’s strategic growth platforms, overseeing onboarding, enablement, and post-transition adoption while coordinating cross-functional execution. The role owns pre-migration readiness planning, milestone tracking, risk management, and end-to-end project management, translating technical requirements into actionable insights and acting as a technical liaison, while monitoring usage signals to drive ongoing value and supporting long-term engagement across global teams. Requirements include 3–6 years in customer-facing SaaS roles with strong technical aptitude and experience with developer-focused products, in a culture at SmartBear that emphasizes growth, inclusivity, ethical practices, global offices, awards, and equal opportunity (#LI-AC2).

SmartBear offers quality-focused software solutions across the SDLC, including Swagger for APIs, BugSnag for Observability, and Zephyr for Testing, all enhanced by SmartBear AI to bring visibility and automation. They are trusted by over 16 million developers at 32,000+ organizations, including Adobe, JetBlue, FedEx, and Microsoft. The text references QMetry’s transformation and invites visiting the QMetry Test Management for Jira page on SmartBear, with a free trial available. The Junior QA Automation Engineer role involves developing and executing automated test scripts with Java and Selenium WebDriver, performing functional, regression, and smoke testing, and collaborating in an Agile/Jira environment to improve coverage and speed. SmartBear promotes growth, an inclusive culture, equal-opportunity hiring, and a values-driven workplace with global offices and recognized awards.

SmartBear emphasizes quality-driven software and offers end-to-end solutions across the SDLC—Swagger for APIs, BugSnag for Observability, and Zephyr for Testing—augmented by SmartBear AI, trusted by over 16 million developers at 32,000+ organizations including Adobe, JetBlue, FedEx, and Microsoft. The Associate Software Engineer – JAVA role is part of SmartBear’s transformation of QMetry Test Management for Jira and focuses on solving challenging business problems and building scalable Java 17/21 applications, including backend services and REST APIs using Java, Spring Boot, and JSON. You will design, document, and implement new systems and enhancements, write code per product requirements, create automated tests, contribute to system testing, and communicate status, issues, and risks in an Agile, Jira-enabled environment while collaborating with business and technical stakeholders. Required qualifications include 1–2 years of hands-on Java 17+ experience with a bachelor’s degree in computer science, computer engineering, or related field; API-driven development with REST/JSON; experience with Java, Spring, and JPA; relational databases (MySQL, PostgreSQL, MSSQL, Oracle); Agile/SCRUM experience; and familiarity with the Atlassian suite (a plus). SmartBear offers opportunities for career growth, a holistic People and Culture approach, celebration of diversity (including birthdays off), a commitment to ethics and social responsibility, an inclusive workplace, and a global presence with offices worldwide, supported by awards and an equal-opportunity employer stance (LI-AC2).

SmartBear believes quality drives great software and offers solutions across the SDLC—Swagger for APIs, BugSnag for Observability, and Zephyr for Testing—infused with SmartBear AI and trusted by over 16 million developers at 32,000+ organizations, including Adobe, JetBlue, FedEx, and Microsoft. The Product Security Engineer role will advocate for security throughout product and engineering processes, define security expectations, verify controls, provide training, and partner with product and engineering leaders to identify weaknesses and security features that protect customers and drive adoption, working with languages such as Go, Java, Node.js, React, Ruby, and Python. The Product Security team covers 25+ products, ranging from home grown to acquired, offering complex processes and growth opportunities, and you will be embedded with engineering and product groups to understand priorities and delivery timelines, validate security postures, participate in security reviews (threat modeling, code review support, penetration testing), triage vulnerabilities, and document findings. Requirements include 1–3 years of experience in software engineering, cybersecurity, or application security; familiarity with OWASP Top 10 and secure coding principles; interest in SaaS or cloud environments and modern pipelines; basic ability to read code in Java, Python, or JavaScript; awareness of security testing tools; and a strong curiosity and collaborative mindset with a desire to grow into a senior role. Why join? You can grow your career at every level, SmartBear invests in success and collaboration, the culture celebrates diversity and personal well-being (including giving birthdays off), and the company emphasizes an inclusive, equal-opportunity workplace with a global presence and awards.

SmartBear offers quality-driven software solutions across the SDLC—Swagger for APIs, BugSnag for Observability, and Zephyr for Testing—enhanced by SmartBear AI to improve visibility, automation, and faster delivery, trusted by over 16 million developers in 32,000+ organizations including Adobe, JetBlue, FedEx, and Microsoft. The company is leading AI-driven workflows across the lifecycle by integrating Generative AI into products like QMetry, Reflect, and Swagger to drive value and growth velocity, with free trials available on their product page. The Junior Software Engineer role focuses on building new and ongoing AI-focused products (including an MCP framework with Agentic AI offerings) across API Design/Management, Testing, and Observability, validating new use cases, maintaining UX, performing code reviews, delivering on time, and iterating on technical designs. Required skills include 2-4 years of Python experience with Flask or FastAPI, familiarity with LLM or agent-based systems (e.g., LangChain/LangGraph), Docker and AWS deployment, GitHub, solid understanding of HTTP/REST APIs, NoSQL or vector databases a plus, and full-stack experience with TypeScript/JavaScript, plus clear English communication. Why join SmartBear: opportunities for career growth, a People and Culture-centric environment, an inclusive and values-driven workplace, global offices, industry awards, and a commitment to ethical practices and equal opportunity; #LI-AC2.