Roles: Quality Assurance Specialist: Ensure high-quality product delivery through comprehensive testing. Automation Expert: Use tools like Selenium, Cypress, Appium, and AI-driven testing frameworks to drive accuracy and efficiency. Stakeholder Communicator: Bridge the gap between technical teams and stakeholders through clear, actionable updates. Process Optimizer: Continuously assess and enhance QA workflows and strategies. Continuous Learner: Stay abreast of AI trends and testing innovations to meet evolving tech demands. Key Responsibilities: Develop and maintain automated test suites for web, mobile, and backend systems using tools such as Selenium, Cypress, and Appium. Plan, execute, and manage end-to-end testing cycles across portals, checklists, payment systems, and integrated platforms. Leverage AI/ML tools (e.g., test impact analysis, visual testing, predictive defect analysis) to enhance automation and efficiency. Create and maintain detailed test documentation including test cases, RTM, and defect logs. Communicate test plans, progress, and results effectively with cross-functional teams and stakeholders. Participate in release planning and support deployments by ensuring stability and resolving critical issues. Identify testing gaps and risks, and propose mitigations to improve software reliability. Expand expertise in non-functional testing areas: performance, security, accessibility, and usability. Continuously improve task management and prioritization to meet project timelines. Understand and apply relevant compliance, regulatory, and security standards in testing practices. Recommend and implement AI-based QA tools to streamline repetitive testing and enhance regression testing scope. Stay current with industry trends and emerging tools in test automation and AI applications in QA. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 6+ years of experience in automation testing. Proficiency with Selenium, Cypress, Appium, or equivalent automation tools. Exposure to or experience with AI/ML tools in the QA domain (e.g., Testim, Applitools, Mabl, or similar). Strong understanding of SDLC, STLC, and agile methodologies. Excellent documentation and reporting skills. Experience in API testing (e.g., Postman, Rest Assured) is a plus. Strong communication and collaboration skills. Passion for continuous learning and upskilling, especially in AI and intelligent test automation. Preferred Qualifications: Certification in Automation Testing or AI in Testing (ISTQB AI-Testing, etc.). Familiarity with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps. Hands-on experience with AI/ML algorithm integration into test environments (optional but a strong plus). Show more Show less
Key Responsibilities: Develop, enhance, and maintain web applications using Angular v14+ . Implement responsive designs using HTML, CSS, Bootstrap, and/or Tailwind . Integrate REST APIs for seamless front-end and back-end communication. Convert UI/UX designs from Adobe XD / Figma into Angular components with pixel-perfect accuracy. Optimize application performance for maximum speed and scalability. Troubleshoot and debug application issues efficiently. Collaborate with designers, back-end developers, and stakeholders to deliver high-quality features. Ensure cross-browser compatibility and mobile responsiveness. Mandatory Skills: Strong proficiency in Angular v14 and above . Expertise in HTML, CSS, JavaScript, and TypeScript . Experience with REST API integration . Solid understanding of responsive design principles . Knowledge of Bootstrap or Tailwind CSS . Troubleshooting and debugging skills. Experience with UI/UX implementation and design tools (XD/Figma to HTML/Angular). Good-to-Have Skills: Experience with Progressive Web Applications (PWA) . Knowledge of Component Library development . Familiarity with Storybook .
Role Summary & Key Responsibilities: Apply first-principles thinking to analyze product challenges, using both qualitative and quantitative insights to form clear, independent perspectives. Communicate complex findings with data-backed storytelling, ensuring clarity across teams with diverse backgrounds. Manage personal priorities effectively, work independently, and deliver consistently in a fast-paced environment. Document systems, technologies, and end-to-end processes within or outside the product ecosystem. Conduct gap analysis to identify inefficiencies and initiate corrective actions. Leverage consumer behavior insights to identify opportunities for product optimization and business growth. Partner with product managers, engineers, and business stakeholders to drive alignment and ensure smooth execution. Skills & Qualifications: Education: MBA or B.Tech preferred. Experience: Minimum 3+ years in Product Analysis, Business Analysis, Product Ops, or related roles. Strong stakeholder management and cross-functional collaboration skills. Excellent communication and presentation abilities to simplify complex concepts. Proficiency in Microsoft Office Suite and exposure to tools such as JIRA or similar project management software. Hands-on experience in customer insight analysis and converting findings into actionable outcomes. Knowledge of program/project management methodologies. A mindset driven by curiosity, critical thinking, and problem-solving.
Role Overview: We are seeking a versatile and creative Content Creator & Marketing Executive to join our team and support content and campaign needs across both our software and book publishing verticals. This role combines storytelling, digital strategy, and multi-format content creation to help us engage audiences and build brand visibility. Key Responsibilities: - Plan, write, and edit content for blogs, social media, emails, websites, and campaigns. - Collaborate with cross-functional teams (product, editorial, design) to gather insights and create targeted content. - Create and manage content calendars for both software and book publishing divisions. - Repurpose content across formats such as reels, carousels, video scripts, and newsletters. - Track content performance and optimize based on engagement and reach metrics. For Software Division (SaaS/Tech): - Write product blogs, case studies, and guides to explain features and customer success stories. - Support SEO-driven content for landing pages and help documentation. - Engage audiences on LinkedIn through thought leadership and feature updates. For Book Publishing Division: - Create engaging social content around new launches, author events, and festivals. - Write copy for book blurbs, author bios, and campaign taglines. - Produce reels, trailers, and behind-the-scenes content to drive interest and sales. Requirements: - Strong command of English with excellent storytelling and editing skills. - Experience using Canva, CapCut, or similar tools for content creation. - Familiarity with SEO, social media algorithms, and digital marketing basics. - Ability to manage multiple projects and switch between industries and tones. Nice to Have: - Experience with SaaS or educational content. - A personal blog, Instagram handle, or portfolio showcasing your creative work. - Interest in books, tech trends, or edtech.
We are looking for a driven and experienced Engineering Manager to lead our Integrations & Platform team. This is a player-coach role where you will own the end-to-end delivery of customer integrations, data pipelines (Snowflake/ELT), and identity/onboarding solutions (Azure AD/Okta). You will set the technical strategy, enforce SOC 2-aligned processes, and improve delivery predictability through DORA metrics, while remaining hands-on (3050% of your time coding). Key Responsibilities: Leadership & Team Development Hire, coach, and mentor a team of 48 engineers (Integration, Platform, and CS-facing). Drive agile best practices and ensure crisp execution of engineering processes. Set individual growth plans, conduct 1:1s, and foster a culture of accountability and collaboration. Technical Ownership & Delivery Define and own integration and data pipeline architectures (webhooks, queues, retries, CDC/ELT). Design scalable, idempotent, and replayable solutions following Enterprise Integration Patterns. Lead projects through full lifecycle: discovery, design, development, testing, deployment, and support. Build and manage CI/CD pipelines with automated quality gates. Hands-On Development Implement integrations, connectors, data transforms, and observability features using Python, TypeScript, and SQL. Build and maintain structured logging, alerts, and dashboards. Develop multi-tenant onboarding solutions and SSO integrations (OIDC, SAML). Security, Compliance & Process Discipline Enforce SOC 2-aligned SDLC practices: change control, artifact tracking, approval workflows, rollback plans. Collaborate with Security and Compliance teams during audits and reviews. Collaboration with Customer Success Maintain a shared plan-of-record (Jira) for visibility across teams. Provide UAT scripts, cutover/rollback runbooks, and training to Customer Success. Prevent surprise escalations through regular syncs and transparency. What We Expect: Minimum Qualifications: 710+ years in software engineering, including 24 years leading engineering teams. Strong hands-on coding experience in Python, TypeScript, SQL, REST APIs, JSON. Expertise in Snowflake or similar data warehouses, ELT/CDC pipelines. Proven track record delivering enterprise integrations (e.g., Salesforce, Yardi, MRI). Experience building and operating CI/CD pipelines, with a focus on improving DORA metrics. Solid understanding of SOC 2, SDLC, and change control processes. Preferred Skills (Nice to Have): Experience with Azure AD/Okta for identity federation and multi-tenant SaaS onboarding. Working knowledge of messaging systems such as SQS or Kafka. Designing idempotent, replayable pipelines and robust error handling.
We are seeking a hands-on Data Engineer to own the data side of customer go-lives. You will validate and sign off on data migrations, develop high-quality SQL models that power BI dashboards, and implement automated data quality checks. Your work ensures data accuracy, trust, and performance across our analytics and migration platforms. Key Responsibilities Migration Validation: Design and execute end-to-end migration tests: row/aggregate parity, schema diffs, referential integrity, nullability, duplicates, and sampling. Produce migration sign-off packs documenting functional and performance validation. SQL Development & Optimization: Build and optimize analytical SQL models (CTEs, window functions, incremental loads). Perform query performance tuning (EXPLAIN plans, indexing, statistics) with PostgreSQL. Data Quality Automation: Implement and automate data quality checks using Great Expectations, Deequ/PyDeequ, or similar frameworks. Integrate validation into CI/CD pipelines with visible reporting. Modeling & Documentation: Maintain well-documented SQL and dbt models with tests and exposures for traceability. Ensure all BI-facing datasets are reliable, performant, and documented. Orchestration & Reliability: Productionize pipelines and checks in Apache Airflow with clear SLAs, monitoring, and alerting. (If applicable) Develop incremental pipelines to Snowflake or optimize batch loads in PostgreSQL. Minimum Qualifications 4 to 7+ years of experience as a Data/Analytics Engineer. Advanced SQL expertise with strong RDBMS fundamentals (PostgreSQL required). Proven track record in data migration testing (parity, integrity, performance). Hands-on experience with at least one of: dbt Great Expectations / Deequ Airflow Strong understanding of Git-based workflows and CI/CD pipelines. Nice to Have Experience with Snowflake (Streams, Tasks, warehouse cost optimization). Exposure to BI stacks (Looker, Power BI, Tableau, Metabase) and metrics layers. Python for lightweight ETL, validation, and automation scripts.