
201 - 500 employees
🏢 Enterprise
⚡ Productivity
☁️ SaaS
💰 Private Equity Round on 2019-12
Enterprise • Productivity • SaaS
Appspace is a workplace experience platform designed to enhance communication and management within physical office spaces. It offers a comprehensive suite of tools including digital signage, space reservation, employee apps, intranet solutions, and visitor management, all centralized in a single platform. Appspace integrates with popular workplace tools like Microsoft Teams and Google, allowing users to manage employee communications, office spaces, and workplace technology seamlessly. The platform is designed to improve the office experience by connecting people, places, and spaces, making it ideal for hybrid work environments and frontline workers. Appspace aims to consolidate tech stacks while ensuring easy management and communication within organizations.
🔥 2 minutes ago
AWS
Azure
Cloud
Cypress
Docker
Google Cloud Platform
JavaScript
Jenkins
JMeter
Kubernetes
Microservices
Python
Selenium
SQL
TypeScript
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201 - 500 employees
🏢 Enterprise
⚡ Productivity
☁️ SaaS
💰 Private Equity Round on 2019-12
Enterprise • Productivity • SaaS
Appspace is a workplace experience platform designed to enhance communication and management within physical office spaces. It offers a comprehensive suite of tools including digital signage, space reservation, employee apps, intranet solutions, and visitor management, all centralized in a single platform. Appspace integrates with popular workplace tools like Microsoft Teams and Google, allowing users to manage employee communications, office spaces, and workplace technology seamlessly. The platform is designed to improve the office experience by connecting people, places, and spaces, making it ideal for hybrid work environments and frontline workers. Appspace aims to consolidate tech stacks while ensuring easy management and communication within organizations.
• Define and own the enterprise QA strategy and multi-year quality roadmap across Appspace's product suite including: Digital Signage, Space Reservation, Visitor Management, and Intranet, aligning quality investment with business and engineering priorities. • Build, lead, mentor, and scale a globally distributed QA organization spanning manual, automation, and performance testing, working through QA managers and leads across multiple time zones. • Establish the test automation strategy and standards, selecting and governing frameworks (e.g., Playwright, Selenium, Cypress, Appium, REST Assured/Postman) and driving coverage, stability, and maintainability across product domains. • Direct the performance and reliability testing practice, setting load, stress, and scalability standards and defining latency, throughput, and error-budget targets for critical service boundaries. • Own the quality gate strategy within CI/CD pipelines — defining how automated tests are triggered, what constitutes a release blocker, and how quality signals are surfaced to engineering teams and leadership. • Define the quality metrics and reporting framework — defect escape rate, test coverage, automation ROI, release readiness, and trend-based regression detection — and brief executive leadership with clear, actionable quality posture. • Champion a shift-left culture, partnering with product and engineering to embed quality practices, test design, and risk assessment early in the development lifecycle. • Drive the adoption of AI-augmented testing approaches — test generation, self-healing automation, anomaly detection, and result analysis — within the AIDLC framework, including quality practices for AI-assisted and AI-generated code. • Standardize test management, environments, and data strategy across teams (e.g., TestRail, Xray, Zephyr, Jira) to ensure traceability from requirements to results. • Own the QA budget, tooling investments, and vendor relationships, and make build-vs-buy decisions across the quality tooling landscape. • Recruit, develop, and retain top QA talent — setting career frameworks, performance standards, and a culture of continuous improvement across a global team. • Communicate quality strategy, risk assessments, and capability roadmaps to engineering leadership and cross-functional stakeholders, influencing decisions without direct authority.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience. • 10–15 years of experience in software quality engineering, with a significant track record in senior QA leadership roles managing managers and leads. • Demonstrated experience leading QA teams that span manual, automation, and performance testing across a large-scale, multi-tenant SaaS platform. • Proven ability to build and manage globally distributed QA teams across multiple time zones, including experience with offshore and hybrid delivery models. • Deep, hands-on understanding of the modern test automation ecosystem — Playwright, Selenium, Cypress, Appium, and API testing tools (REST Assured, Postman) — with the judgment to prescribe the right approach for a given context. • Strong command of performance and reliability testing tools and practices (e.g., JMeter, k6, Gatling, Locust) and the ability to define meaningful SLOs, SLAs, and error budgets. • Experience integrating quality gates into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Azure DevOps) with sophisticated pass/fail logic and trend-based regression detection. • Solid understanding of modern software architecture — microservices, event-driven systems, APIs, and cloud-native platforms (GCP, AWS, or Azure) — sufficient to reason about quality and performance risk across the stack. • Experience defining and operationalizing quality metrics and KPIs, and reporting quality posture to executive leadership. • Working proficiency with test management and defect tracking tools (Jira, TestRail, Xray, Zephyr) and BDD practices (Cucumber, Gherkin). • Hands-on familiarity with SQL, containerization (Docker/Kubernetes), and scripting in Python and/or JavaScript/TypeScript to stay credible with engineering teams. • Practical experience applying Generative AI tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate test design, automation authoring, or result analysis. • Excellent written and verbal communication skills — able to produce clear strategy documents and executive-facing quality narratives. • Proven ability to lead technical discussions, drive alignment across engineering teams, and influence design decisions without direct authority. • Ability to operate effectively in a globally distributed team environment across time zones.
• Health insurance • 401(k) plan • Paid parental leave • Generous PTO • Flexible work schedules • Remote work opportunities • Paid company holidays • Appspace Quiet Fridays (No non-essential internal meetings scheduled) • A casual dress work environment
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