Pega

• Strong Outbound Sales profile with B2B Saas or ERP-Tech Sales experience
• Mandatory (Experience 1): 1+ YOE in B2B SaaS / Tech Sales experience as an SDR
• Mandatory (Experience 2): Must have strong experience in Lead Generation & Outbound Calls
• Mandatory (Experience 3): Hands-on experience outbound experience using email, LinkedIn, cold calls, and WhatsApp.
• Mandatory (Tools): Proficient in using CRM systems like HubSpot and LinkedIn Sales Navigator.
• Mandatory (Company) - B2B SaaS Products OR IT/Tech Services companies

Preferred

What You’ll Do

• Own the QA function end-to-end: from test strategy to UAT definition, release readiness, and post-release health.
• Collaborate early with Product and Design to clarify requirements, foresee edge cases, and co-define testable outcomes.
• Define and drive UAT: Create business-aligned acceptance criteria and ensure features meet real-world use cases.
• Build a quality feedback loop that incorporates exploratory, automated, and regression testing seamlessly into CI/CD.
• Act as the guardian of the release, balancing release velocity with confidence in quality.
• Lead, mentor, and grow a team of QA engineers (manual + automation) to think like product owners and not just bug reporters.
• Champion QA as a design + product-first mindset, not just a gate at the end of development.

What We’re Looking For

• 6+ years in QA, with at least 2 years in a leadership or decision-making role at a SaaS or startup company.
• Proven experience in owning QA strategy for web or mobile platforms with real users and frequent releases.
• Strong ability to define UAT plans and align with product/UX for customer-centric validation.
• Experience setting up and scaling QA processes that work within agile teams (Jira, CI/CD, post-release monitoring).
• Confidence in influencing cross-functional teams and pushing back with data when needed.
• Excellent communication written, verbal, and cross-functional.

Nice to Have

• Familiarity with automation tools (Cypress, Playwright, Postman, etc.)
• Exposure to microservices architecture and API-first testing.
• Experience in tools like BrowserStack, TestRail, Sentry, Mixpanel for QA coverage and monitoring.

Why Join Us?

• You'll have a seat at the table for product and release planning, not just QA sign-off.
• Work closely with founders and senior leadership in shaping product quality.
• Build and mentor a QA culture that’s respected, not an afterthought.
• Be part of a mission-driven team solving meaningful problems at scale.

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

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Candidate should have 5-7 years of experience in both manual and automation testing. Candidate should have atleast one year experience as a lead of a QA team.

Candidate should be self motivated and passionate and should have clear understanding of agile/scrum processes

Create and maintain database tables, views, indexes, and triggers.

Implement and maintain database code in the form of stored procedures, scripts, queries, views, triggers, etc.

Develop and maintain high-quality stored procedures.

Write low cost, high-quality database queries and code while maintaining data quality, privacy, and security

Profile databases, measure database performance and troubleshoot complex database issues, and IO bottlenecks.

Optimize database queries and ensure table locking/deadlocks happen in production.

Optimize large, complicated SQL statements & Stored Procedures.

Cost optimization of Amazon instances using databases.

Knowledge of database design principles, query optimization, index management, integrity checks, statistics and isolation levels

Knowledge of message queuing, indexing, and high-performance data concept

Knowledge of JSON and PostgreSQL support for JSON.

Good Grasp of ETL concepts

Work with front-end developers to define simple yet powerful APIs

Work with DBAs to ensure the efficiency of database code, integrity of data structures and quality of data content.

Coordinate with product managers and leadership teams to build effective database objects

Excellent verbal and written communication skills

Good attitude towards work and flexibility

Ability and willingness to handle multiple tasks in a fast-paced environment

Ability to evaluate alternative solutions and/or workarounds

Platform Engineering Team - where HE/SHE will be a direct impact on the entire engineering org by leading the design, build, and test of critical systems leveraged by all engineers every day. HE/SHE will manage and operate CI/CD systems, Artefact management systems, and common infra automation. HE/SHE will be partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug, and release software quickly.

What we need from you

• You will bring very strong consulting skills, are customer focused and know how to navigate through tough project situations
• You are highly motivated, creative in your approach to technical problems and love all things about Data!
• You spend a significant amount of time to keep your technical skills updated and are constantly looking for the next big data challenge
• You will be a key contributor to our growth and our customer’s success
• You will bring both broad and deep knowledge in Efficient Java (JSP, Servlet) Developer and going forward build the ability to architect a solution by mapping a customer business challenges
• You are resourceful and confident under pressure
• Willingness to travel as needed to customer sites

Competencies:

• Relevant experience on using tools like JSP, Servlet for web applications
• MVC frame works - Struts or Spring
• Web services- SOAP and REST WebLogic, Hibernate
• Middleware technologies MQ OSB.
• Web/App Servers: Tomcat or WebLogic or JBoss
• Experience using Angular, Micro Services using Spring, jersey, Swagger
• Good knowledge of Backend and Front-end technologies
• Good knowledge of Core Java, J2EE, Ajax, Spring, Java Script, jQuery, HTML
• Good knowledge of any RDBMS database like SQL Server, Oracle, MySQL & Cluster set-up, performance benchmarking, client-side API evaluation, knowledge of various deployment strategies
• Strong knowledge with Core JAVA concepts – Exception handling, Multi-threading, Collection, String, OOPS etc…
• Advanced understanding of Windows and Linux based operating systems
• Mainly 3-4 months hands on with reverse engineering and old legacy solutions to new modern applications
• Working knowledge using REST, HTTP, TCP, SCTP protocols
• Hands-on with JAVA frameworks such as – Thread Pool Executor, Object Pooling, Logging (Log4j preferred), XML/JSON handling

Education Criteria:

• Preferred BE degree in CS, E&C, E&E
• Proficient being a J2EE Developer (courses or project done) and data analytics skills
• Flexible to work on any projects assigned

Note: Terms & Conditions

• This opportunity will be work from office