Full-Time
Product Owner
Swagger
Updated on 8/22/2026
SmartBear
501-1,000 employees
Web and API testing platform
No salary listed
Bengaluru, Karnataka, India
In Person
 Product (1) |
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- At least 5 years of experience in Product Ownership, Product Management, Software Engineering, Quality Assurance, DevOps, Solutions Engineering, or a related technical role.
- Strong understanding of API development and lifecycle management, including design, testing, documentation, governance, security, and consumption.
- Experience working with SaaS and/or enterprise on-premises software products.
- Demonstrated ability to work effectively within Agile product development environments.
- Strong written and verbal communication skills with the ability to influence technical and business stakeholders.
- Experience collaborating with engineering, user experience, documentation, support, sales, and marketing teams.
- Experience defining product requirements for technical audiences and translating customer needs into actionable engineering work.
- Own and prioritize the product backlog while balancing customer needs, technical feasibility, business value, and strategic objectives.
- Partner with Product Management, Engineering, UX, Documentation, and go-to-market teams to deliver API lifecycle experiences.
- Define product requirements, user stories, acceptance criteria, and success metrics aligned to measurable customer outcomes.
- Collaborate with engineering teams to deliver secure, scalable, and reliable SaaS and on-premises solutions.
- Work directly with customers and internal stakeholders to understand workflows, pain points, and emerging industry trends.
- Identify opportunities to leverage AI, automation, and intelligent workflows to improve developer productivity and API governance.
- Partner with technical writers to ensure features, APIs, integrations, and AI capabilities are effectively documented.
- Support go-to-market activities, including release planning, enablement, launch readiness, and customer communications.
- Analyze usage data, customer feedback, and market trends to inform prioritization and product direction.
- Experience with AI platforms such as OpenAI, Anthropic, Google Gemini, Azure AI, or similar technologies.
- Familiarity with MCP architecture, AI tool ecosystems, and agent interoperability standards.
- Experience in the API industry and knowledge of API protocols, including OpenAPI, AsyncAPI, GraphQL, and API governance solutions.
- Familiarity with continuous integration and continuous delivery pipelines, DevOps practices, and cloud-native architectures.
- Experience working on developer platforms, documentation products, or API lifecycle management solutions.
SmartBear provides a suite of software testing and quality-assurance tools for web and API testing, performance monitoring, and test management. Its products help developers and testers verify that applications are reliable, secure, and fast by supporting functional testing, API testing, performance testing, and continuous testing. The tools integrate with popular development workflows and environments, including Jira and CI/CD pipelines, and cover end-to-end testing across modern Agile and DevOps practices. SmartBear differentiates itself with a broad, integrated platform used by millions of users across thousands of companies worldwide, delivering depth across multiple testing domains and strong ecosystem compatibility. The company aims to help software teams deliver high-quality software quickly and efficiently by improving testing accuracy, monitoring performance, and streamlining testing processes.
Company Size
501-1,000
Company Stage
Growth Equity (Venture Capital)
Total Funding
$22.1M
Headquarters
Somerville, Massachusetts
Founded
2003
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Simplify's Take
What believers are saying
- Dave Phillips became CRO on July 22, 2026, tightening renewals and channel execution.
- July 15, 2026 integrations with Claude, GitHub, Atlassian, and Kiro expand distribution.
- COCC's June 2026 QMetry-Reflect deployment validates enterprise migration and cross-sell potential.
What critics are saying
- Checkmarx's July 2026 self-healing agents attack SmartBear's testing budget inside AI coding tools.
- IBM Bob's July 2026 multi-agent release raises enterprise expectations for integrated, auditable development platforms.
- Atlassian, GitHub, and Anthropic can bundle quality features, commoditizing SmartBear's standalone point products.
What makes SmartBear unique
- Stoplight, QMetry, and TestComplete create SmartBear's broad API-to-test workflow.
- July 2026 Claude, GitHub, Atlassian, and Kiro integrations embed SmartBear inside developer workflows.
- June 2026 Vision AI tests CAD, Citrix, Tableau, and other visually complex applications.
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Benefits
Flexible Work Hours
Paid Vacation
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 11%SmartBear BearQ wins 2026 CRN Tech Innovator award. Manisha Talwar August 05, 2026 SmartBear BearQ(TM), an agentic QA system, has won a 2026 CRN(R) Tech Innovator Award. CRN, a brand of The Channel Company, named BearQ a winner in the Application Development and DevOps category, calling it out among the most innovative technologies shaping the IT channel this year. AI has changed how fast software gets built, but for many organizations, testing hasn't kept pace. Seventy percent of software experts say application quality is already suffering as AI speeds up code creation, while 68% worry that faster AI-driven development will only widen the testing bottleneck, according to a recent SmartBear study, Closing the AI Software Quality Gap. That imbalance affects the entire software delivery pipeline because it functions like an assembly line. Speed up code generation without speeding up testing, and the gains at any one stage lack real impact. Instead, the pressure just piles up downstream, on QA teams, turning what should be efficiency gains into headaches. BearQ was built to close that gap. Why CRN recognized BearQ. The CRN Tech Innovator Awards honor products that show real technological differentiation and value to the solution provider channel. CRN's editorial team chose this year's winners from hundreds of submissions across 30 technology categories. BearQ was selected for its innovation, market differentiation, and measurable value for partners and customers. "The 2026 CRN Tech Innovator Awards winners represent the most innovative technologies driving the future of the IT channel," said Jennifer Follett, vice president, U.S. content and executive editor at CRN, The Channel Company. "These award-winning solutions demonstrate exceptional vision, technological ingenuity, and a commitment to solving real-world challenges for partners and customers." BearQ's agentic approach to QA. BearQ is an agentic QA system that autonomously explores, tests, and validates applications as they exist today, not against outdated scripts or specs. Its always-on QA agents, including the QA Lead Agent, Explorer Agent, and Tester Agent, map how an application actually behaves, generate and maintain tests, and validate real user journeys as the product evolves. That's a meaningful evolution from how most teams test today. Scripted automation tools only validate what engineers explicitly define, and they break the moment a UI or workflow shifts underneath them. BearQ starts from a different premise. It learns the application directly, discovers user journeys on its own, and keeps coverage current without someone rewriting scripts or updating specs every sprint. Teams decide what level of autonomy BearQ executes at. Configurable oversight lets QA and engineering leaders set where agents explore freely and where a human reviews before anything ships, so expanded coverage doesn't come at the cost of control. Many product engineering and QA teams are under pressure to test more without adding headcount or more script maintenance work. BearQ's combination of wider, adaptive coverage and configurable human oversight is what made the difference in earning this recognition. What's new with BearQ. As software development evolves, so will BearQ. Since launching in March, BearQ has added: * Greater configurability: Additional configurable guardrails, exclusion rules, and functional area focus controls let teams define exactly what BearQ should explore and what it should leave alone. * Cost governance: Workspace-level agent compute unit (ACU) tracking, project and team consumption visibility, and overage alerts help teams stay ahead of usage before hitting limits. * Deeper ecosystem connectivity: New integrations span CI/CD, GitHub, Atlassian, Azure DevOps (ADO), and MCP-enabled workflows. * Bidirectional MCP support: BearQ can now participate in broader agent ecosystems, not just take instructions from them. * Richer reporting: Workflow-level issue details are now tracked alongside BearQ's daily summaries and audit-ready reports. See what's next with BearQ Application integrity, validated by the channel. This win maps back to SmartBear's mission of helping teams achieve application integrity, the continuous, measurable assurance that software works as intended, at speed and scale. For SmartBear's channel partners, it's further proof that BearQ gives them a way to help customers modernize QA and clear testing bottlenecks as AI reshapes how software gets built. BearQ is available now. Start a free trial today and see how autonomous QA agents close the gap between how fast your team ships and how confidently you can test it.
Sauce Labs, Meticulous and Functionize: the latest vendor and product news. Artificial intelligence continues to reshape software testing, with vendors racing to build platforms that can validate AI-generated code, automate quality engineering and strengthen software assurance. This week's roundup includes fresh funding for Meticulous, a major new AI testing platform from Functionize, SmartBear's latest AI integrations, Elastic's independent testing success and more. Sauce Labs launches release assurance platform. Sauce Labs has launched AURA, an AI-powered release assurance platform designed to help enterprises verify AI-generated code at the pace it is produced. The company said AURA uses agentic AI to author, execute and analyse tests through an autonomous learning loop, integrating with existing CI/CD pipelines and DevOps workflows. Sauce Labs claims enterprise deployments have achieved 90% fewer production incidents, 47% faster release cycles and reclaimed 38% of engineering capacity. The launch accompanies a new study of 400 engineering leaders highlighting growing concern over AI-driven software quality, with more than half admitting they knowingly release code containing critical defects. Meticulous lands $15m. AI-powered testing startup Meticulous has raised $15 million in Series A funding led by Redpoint Ventures to accelerate development of its autonomous software testing platform. Meticulous automatically creates and maintains end-to-end browser tests by observing how users interact with applications, dramatically reducing the effort traditionally required to build regression suites. The company, founded in 2021 in London, says its deterministic browser technology also helps eliminate flaky tests, serving a range of banks and financial firms, mostly in the UK. The investment reflects growing demand for automated verification as AI coding assistants generate ever larger volumes of software that still need independent validation before release. Functionize launches new testing agent. Functionize has unveiled Studio, a new AI-native software quality platform designed to act as an independent testing agent for applications built by both developers and AI coding assistants. Users describe what they want to validate in natural language, after which Studio generates, executes and maintains automated tests. The platform also automatically repairs tests as applications evolve. Functionize says the launch marks a shift towards autonomous quality assurance, where AI agents verify software produced by other AI agents. mabl extends AI assistance. Testing platform mabl has introduced additional AI-powered capabilities designed to simplify test authoring, debugging and maintenance. The new features help engineering teams create automated tests more quickly using natural language while providing AI-assisted recommendations when failures occur. The launch reflects the industry's wider move towards conversational software testing as the gap between code generation velocity and quality validation is widening. "Coding agents ship faster than any team in software history, but an agent grading its own work is biased toward shipping," warned mabl founder Dan Belcher. Tricentis strengthens AI testing. Tricentis has expanded its AI-powered testing portfolio with new capabilities designed to accelerate test creation and improve enterprise software validation. The latest enhancements use generative AI to help create, optimise and maintain automated tests while reducing manual effort across complex enterprise environments. The company continues to position AI as a way to improve testing productivity while maintaining governance over increasingly rapid software delivery. SmartBear expands testing ecosystem. SmartBear has announced a series of AI integrations spanning Anthropic Claude, GitHub, Atlassian Rovo and Amazon Web Services' Kiro development environment. The new integrations bring test generation, API governance and quality intelligence directly into AI-assisted development workflows, allowing developers to access testing information without leaving their coding environments. The move reflects the growing trend towards embedding quality assurance directly inside software engineering platforms. Keysight expands Eggplant AI. Keysight Technologies has added further AI capabilities to its Eggplant testing platform aimed at reducing maintenance across automated UI testing. The enhancements enable engineers to identify interface elements using natural language descriptions rather than brittle selectors, making automated tests more resilient as applications evolve. Applitools boosts autonomous testing. Applitools has expanded its autonomous testing capabilities, adding new AI-powered visual validation and test maintenance features. The company says the enhancements allow engineering teams to detect user interface changes more accurately while reducing false positives and ongoing maintenance effort. Visual AI continues to play an increasingly important role as AI-generated applications evolve more rapidly. Sonar deepens AI code assurance. Sonar has expanded its AI Code Assurance capabilities to help organisations validate software created by AI coding assistants. The platform combines static analysis, security scanning and code quality checks to identify defects before software reaches production, supporting organisations adopting AI-assisted development at scale. As AI accelerates coding, vendors increasingly see continuous verification rather than code generation as the key differentiator. This september in London. Why not become a QA Financial subscriber? It's entirely FREE Regulation & Compliance. Looking for more news on regulations and compliance requirements driving developments in software quality engineering at financial firms? Visit our dedicated Regulation & Compliance page here. Watch now. July 23, 2026 July 22, 2026 July 21, 2026 July 20, 2026 July 17, 2026 July 16, 2026
SmartBear names Dave Phillips Chief Revenue Officer to lead growth as AI raises the bar for software quality. Go-to-market leader of 20+ years will unify sales, customer success, and channel strategy to help customers build with confidence at AI speed and scale SOMERVILLE, Mass. - July 22, 2026 - SmartBear, helping teams build, test, and ship quality software at AI speed and scale, today announced the appointment of Dave Phillips as Chief Revenue Officer. In this role, Phillips will lead the company's global revenue growth, overseeing sales, customer success, renewals, channel partnerships, and go-to-market strategy as SmartBear continues to help organizations deliver application integrity in the age of AI-disrupted software development. As Chief Revenue Officer, Phillips will focus on deepening the trust of existing customers, bringing on new customers with the speed and urgency they need as they adopt AI in their SDLC, and doing so in lockstep with the company's channel, reseller, and marketplace partners to meet customers wherever they choose to buy. "Dave has earned the trust of our leadership team, our employees, and our customers by building strong teams, driving execution, and staying relentlessly focused on customer outcomes," said Dan Faulkner, CEO of SmartBear. "He brings deep sales expertise and a proven track record in customer success. As AI transforms how software is built and tested, application integrity is the standard the market needs to meet, and Dave's role is making sure our customers have access to the solutions that get them there." Phillips joined SmartBear nearly two years ago, most recently serving as Senior Vice President of Customer Success and Renewals, where he strengthened customer retention, expanded strategic customer relationships, and helped build a customer-centric revenue organization. A proven go-to-market executive with more than 20 years of leadership experience, Phillips has led high-performing sales organizations across new business, expansion, and indirect channels. Prior to SmartBear, he served as Chief Revenue Officer at Alyce, where he led the revenue organization to more than 20% ARR growth and helped the company secure its Series B funding. He also led teams across all markets and sales motions at Quickbase, helping guide the company through two private equity-backed exits and growing revenue from $25M to $125M. "We're at a pivotal moment for software development," said Dave Phillips, chief revenue officer at SmartBear. "AI is letting teams build faster than ever, but it's making it harder to trust what's being shipped. I've watched that gap widen on both the vendor and customer side, and it won't close on its own. That's the problem I want to spend my time solving - helping teams move at the speed AI now demands without losing confidence in what they build and ship."
SmartBear expands ai-powered testing across developer ecosystems with integrations in Anthropic's Claude, Atlassian, GitHub, and Kiro. New integrations extend SmartBear's capabilities into the AI-native IDEs, assistants, and marketplaces where developers and QA teams already work, helping customers achieve application integrity SOMERVILLE, Mass. - July 15, 2026 - SmartBear, helping teams build, test, and ship quality software at AI speed and scale, today announced its cohesive AI ecosystem strategy of new integrations that expand its AI-powered testing and governance capabilities into Anthropic's Claude, Atlassian, GitHub, and Kiro. Through integrations with AI-native IDEs, assistants, and partner platforms, SmartBear is bringing its AI-powered testing and governance capabilities directly into the tools used to build software to ensure quality keeps pace. These ecosystem integrations are part of SmartBear's unified AI strategy, in response to customers using AI to accelerate development. Unlike other point solutions that address only a single, isolated layer of the AI-disrupted SDLC, SmartBear's approach spans the quality lifecycle, from API design and governance through testing and into production monitoring. Teams get consistent quality signals at every checkpoint without stitching together disconnected MCP integrations or isolated toolchains. With these integrations, SmartBear's AI-powered testing capabilities live directly inside developer and QA team workflows, reducing friction and context switching so quality doesn't happen somewhere else while AI accelerates code creation. From there, teams can generate, validate, and govern AI-created tests conversationally and contextually, in the tools they already trust. That turns fragmented verification into a single source of truth for quality, helping prevent integration drift as AI agents become first-class consumers of APIs and systems. "Atlassian's Marketplace is built on partners who extend what customers can do inside the tools they already trust," said Chris Hemphill, head of marketplace partnerships at Atlassian. "SmartBear's Zephyr Agent for Rovo brings conversational, AI-driven quality intelligence directly into Jira, so QA teams get release-readiness answers without leaving their workflow. That means faster, more confident release decisions for teams running at AI speed." New integrations available today include: * Swagger Contract Testing in Kiro * ReadyAPI and Swagger connectors for Anthropic's Claude * Zephyr Agent for Rovo in Atlassian * SmartBear MCP Server for GitHub Together, these integrations span SmartBear's API governance and testing, contract validation, and test management portfolio, along with the MCP Server, underpinning future AI-driven experiences. SmartBear plans to deepen these integrations with richer skills in Rovo, additional Powers and MCP actions in Kiro, and extended Claude workflows, while forming new ecosystem partnerships and readying more announcements over the coming year. "Development is moving into AI-native IDEs, assistants, and ecosystem platforms, and increasingly, developers would rather continue working in those platforms instead of jumping to standalone testing tools," said Sheryl Koenigsberg, senior vice president of product marketing at SmartBear. "At SmartBear, we're meeting developers in their workflows, building on open protocols, skills frameworks, and extension models so our testing and quality intelligence work wherever developers and agents make decisions." To learn more about these new SmartBear integrations, visit the Swagger, ReadyAPI, and Zephyr Enterprise integration pages.
SmartBear adds integrations with Anthropic Claude, Atlassian, GitHub, and Kiro. July 15, 2026 SmartBear announced new integrations that expand its AI-powered testing and governance capabilities into Anthropic's Claude, Atlassian, GitHub, and Kiro. Through integrations with AI-native IDEs, assistants, and partner platforms, SmartBear is bringing its AI-powered testing and governance capabilities directly into the tools used to build software to ensure quality keeps pace. These ecosystem integrations are part of SmartBear's unified AI strategy, in response to customers using AI to accelerate development. SmartBear's approach spans the quality lifecycle, from API design and governance through testing and into production monitoring. Teams get consistent quality signals at every checkpoint without stitching together disconnected MCP integrations or isolated toolchains. With these integrations, SmartBear's AI-powered testing capabilities live directly inside developer and QA team workflows, reducing friction and context switching so quality doesn't happen somewhere else while AI accelerates code creation. From there, teams can generate, validate, and govern AI-created tests conversationally and contextually, in the tools they already trust. That turns fragmented verification into a single source of truth for quality, helping prevent integration drift as AI agents become first-class consumers of APIs and systems. "Atlassian's Marketplace is built on partners who extend what customers can do inside the tools they already trust," said Chris Hemphill, head of marketplace partnerships at Atlassian. "SmartBear's Zephyr Agent for Rovo brings conversational, AI-driven quality intelligence directly into Jira, so QA teams get release-readiness answers without leaving their workflow. That means faster, more confident release decisions for teams running at AI speed." New integrations available today include: - Swagger Contract Testing in Kiro - ReadyAPI and Swagger connectors for Anthropic's Claude - Zephyr Agent for Rovo in Atlassian - SmartBear MCP Server for GitHub Together, these integrations span SmartBear's API governance and testing, contract validation, and test management portfolio, along with the MCP Server, underpinning future AI-driven experiences. SmartBear plans to deepen these integrations with richer skills in Rovo, additional Powers and MCP actions in Kiro, and extended Claude workflows, while forming new ecosystem partnerships and readying more announcements over the coming year. "Development is moving into AI-native IDEs, assistants, and ecosystem platforms, and increasingly, developers would rather continue working in those platforms instead of jumping to standalone testing tools," said Sheryl Koenigsberg, SVP of product marketing at SmartBear. "At SmartBear, we're meeting developers in their workflows, building on open protocols, skills frameworks, and extension models so our testing and quality intelligence work wherever developers and agents make decisions." Industry news. July 15, 2026 SmartBear announced new integrations that expand its AI-powered testing and governance capabilities into Anthropic's Claude, Atlassian, GitHub, and Kiro. July 15, 2026 Checkmarx introduced self-healing application security: autonomous agents that detect, fix, and verify vulnerabilities as developers code. July 15, 2026 CleanStart announced the launch of Clean Libraries, a new product that helps organizations use verified open-source libraries by default, reducing software supply chain risk before dependencies become part of an application. July 15, 2026 Anaconda has acquired Kilo Code, an open source, model-agnostic agentic engineering platform. July 14, 2026 Oracle announced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications that enables customers and partners to create and run Fusion Agentic Applications natively within Oracle Fusion Cloud Applications. July 14, 2026 Pegasystems announced the general availability of Pega Infinity(TM) 26, Pega's AI suite of products designed to help enterprises scale AI with confidence. July 14, 2026 Port announced Port AI Builder, a purpose-built vibe coding experience designed for platform engineering and development teams. July 13, 2026 LTM announced a partnership with Anthropic to accelerate enterprise-scale adoption of Claude, Claude Code and Claude Cowork across engineering, modernization, and business workflows. July 13, 2026 IBM and Red Hat announced the commercial launch of Lightwell, delivering automated vulnerability remediation at scale through two offerings: Lightwell Network and Lightwell Clearinghouse Premier. July 09, 2026 IBM announced major updates to IBM Bob, its agentic software development platform, including new multi-agent capabilities, built-in AI cost and use analytics, and pre-built, specialized workflows for modernizing enterprise systems. July 09, 2026 RapidFort and ReversingLabs (RL) announced a strategic partnership to deliver RapidFort Open-Source Dependency Libraries - an open-source package catalog to combine RapidFort's proven curation and hardening process with independent third-party validation powered by ReversingLabs' Spectra Assure(R) platform. July 08, 2026 Deloitte, IBM and Red Hat announced a collaboration to help protect the software supply chain against increasingly automated cyber threats. July 08, 2026 Unisys announced a strategic partnership with Antenna to embed independent third-party benchmarks directly into Unisys applications, solutions and services. July 08, 2026 Entire launched the preview of its distributed Git network, letting developers host repositories around the world instead of on a single central provider. July 08, 2026 Couchbase announced general availability of the AI Data Plane, a unified data infrastructure layer for enterprise AI agents.