Sales

About Certa

Certa is a leading innovator in the no-code SaaS workflow space, powering the full lifecycle for suppliers, partners, and third parties. From onboarding and risk assessment to contract management and ongoing monitoring, Certa enables businesses with automation, collaborative workflows, and continuously updated insights. Join us in our mission to revolutionize third-party management!

What You'll Do

• Partner closely with Customer Success Managers to understand client workflows, identify quality gaps, and ensure smooth solution delivery.
• Design, implement, and execute both manual and automated tests for client-facing workflows across our web platform.
• Write robust and maintainable test scripts using Python (Selenium) to validate workflows, integrations, and configurations.
• Own test planning for client-specific features, including writing clear test cases and sanity scenarios — even in the absence of detailed specs.
• Collaborate with Product, Engineering, and Customer Success teams to reproduce client-reported issues, root-cause them, and verify fixes.
• Lead or contribute to exploratory testing, regression cycles, and release validations before client rollouts.
• Proactively identify gaps, edge cases, and risks in client implementations and communicate them effectively to stakeholders.
• Act as a client-facing QA representative during solution validation, ensuring confidence in delivery and post-deployment success.

What We're Looking For

• 3–5 years of experience in Software QA (manual + automation), ideally with exposure to client-facing or Customer Success workflows.
• Strong understanding of core QA principles (priority vs. severity, regression vs. sanity, risk-based testing).
• Hands-on experience writing automation test scripts with Python (Selenium).
• Experience with modern automation frameworks (Playwright + TypeScript or equivalent) is a strong plus.
• Familiarity with SaaS workflows, integrations, or APIs (JSON, REST, etc.).
• Excellent communication skills — able to interface directly with clients, translate feedback into testable requirements, and clearly articulate risks/solutions.
• Proactive, curious, and comfortable navigating ambiguity when working on client-specific use cases.

Good to Have

• Previous experience in a Customer Success, Professional Services, or client-facing QA role.
• Experience with CI/CD pipelines, BDD/TDD frameworks, and test data management.
• Knowledge of security testing, performance testing, or accessibility testing.
• Familiarity with no-code platforms or workflow automation tools.

Perks

• Best-in-class compensation
• Fully remote work
• Flexible schedules
• Engineering-first, high-ownership culture
• Massive learning and growth opportunities
• Paid vacation, comprehensive health coverage, maternity leave
• Yearly offsite, quarterly hacker house
• Workstation setup allowance
• Latest tech tools and hardware
• A collaborative and high-trust team environment

Job Title: Senior Conference Producer

Industry: Lifesciences, Conferences

Objective: To conduct primary and secondary research, perform SWOT, trend, and competitor analysis, and develop data-driven conference content across Biotech, Medical Devices, and Therapeutics industries.

Employment Type: Full Time (In-office)

Education: Graduate (Life Sciences, Biotechnology, or related field preferred)

Experience: 3+ years of experience in research, content development, or conference production

Working Days: Monday – Friday (Sat & Sun Off)

Shift Timings: 12 PM – 9 PM

Location: Andheri East, Mumbai

Introduction to Company:

Since 2016, the TT LifeSciences has been committed to delivering excellent educational events, conferences, and meetings to tightly targeted audiences in highly regulated industries.

At that time, most of the educational forums provided for specialised industries were general and colourless. They were designed to have broad appeal to companies operating in vastly different sectors. In trying to address the needs of too many people, they actually addressed none.

TT LifeSciences set out to do things differently. We are client-centred and carefully curate a programme designed for our clients’ needs. The result? Educational events that are tailored to the professionals who attend and provide a space for real growth.

We are proud to have grown to a global operation, with headquarters in both the UK and Asia. We serve some of the biggest healthcare names in the world, like Merit Medical, Getinge Group and Occlutech.

We have hosted over 100+ interactive and informative medical device conferences, bringing together professionals in niche markets who share similar concerns and challenges to learn,inspire and innovate.

Company Website: https://www.ttgroupworldwide.com

Benefits:

• Work life balance

• Rewards & Recognitions programs

• Employees completing three yearsreceive loyalty bonuses.

• Professional development and career advancement opportunities are actively encouraged.

• Health coverage includes medical insurance.

• Opportunity to work globally across Berlin, Germany, the USA, and Europe.

• Additional benefits include paid holidays, festive leaves, and team gatherings.

• Comprehensive perks such as Provident Funds and health insurance are provided.

• Conduct primary and secondary research to identify key trends, challenges, and emerging opportunities within the Life Sciences, Biotech, and Healthcare sectors.

• Lead, mentor, and support a team to achieve individual and collective goals.

• Perform SWOT, trend, and competitor analysis to identify market gaps and help shape conference content strategy.

• Develop conference agendas, topics, and speaker line-ups based on verified research insights and produce the events.

• Communicate directly with industry experts, clients, and speakersto validate research findings and gather fresh perspectives.

• Build and maintain relationships with clients, industry leaders, and associations for knowledge exchange and collaboration.

• Prepare detailed research briefs, content outlines, and analytical reports to support marketing and production teams.

• Work closely with the Conference Producer/Manager to conceptualize event themes and ensure strategic alignment with market needs.

• Support the creation ofspeaker invitations, proposal decks, and post-event reports.

• Coordinate with internal departments (marketing,sales, and design) to ensure seamless event execution.

• Maintain a strong understanding of industry news, competitor events, and global market developments.

Candidate Specification:

• Excellent verbal and written communications skills.

• Confident while working

• Strong work ethic

• International exposure

• To-do-attitude

• Willingnessto learn

• Long term approach

Required Skills:

• Graduate in Life Sciences, Biotechnology, or related discipline.

• 3+ years of experience in research, analysis, or conference content roles.

• Excellent verbal and written communication skills; ability to interact confidently with international professionals.

• Strong analytical mindset with proficiency in SWOT, trend, and competitor analysis.

• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

• Exceptionaltime management, multitasking, and attention to detail.

• Collaborative approach with the ability to work effectively within a global team.

Preferred Skills:

• Experience in conference research, business intelligence, or market analysis.

• Familiarity with Life Sciences, Biotech, or Healthcare sectors.

• Understanding ofstrategic content planning and event research 

workflows.

• Prior experience in client communication and stakeholder management.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What You Will Do:

• Develop and optimize high-performance backend systems in Golang for trading platforms and financial

services.

• Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency.

• Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

• Own your work—no babysitting, no micromanagement.

• Work alongside equally driven engineers who expect nothing less than brilliance.

• Learn faster than you ever thought possible.

Must-Have Skills:

• Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

• Deep understanding of concurrency, memory management, and system design.

• Experience with Trading, market data processing, or low-latency systems.

• Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing.

• Hands-on with Docker, Kubernetes, and CI/CD pipelines.

• A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Contributions to open-source Golang projects.

• A history of building something impactful from scratch.

• Understanding of FIX protocol, WebSockets, and streaming APIs.

Technical Architect (Databricks)

• 10+ Years Data Engineering Experience with expertise in Databricks
• 3+ years of consulting experience
• Completed Data Engineering Professional certification & required classes
• Minimum 2-3 projects delivered with hands-on experience in Databricks
• Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
• Experience in Spark and/or Hadoop, Flink, Presto, other popular big data engines
• Familiarity with Databricks multi-hop pipeline architecture

Sr. Data Engineer (Databricks)

• 5+ Years Data Engineering Experience with expertise in Databricks
• Completed Data Engineering Associate certification & required classes
• Minimum 1 project delivered with hands-on experience in development on Databricks
• Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
• SQL delivery experience, and familiarity with Bigquery, Synapse or Redshift
• Proficient in Python, knowledge of additional databricks programming languages (Scala)

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Main Purpose of Job:

1. Responsible for Lead Generation and Client Conversion (Closing deals with Pharmacies and Doctors)

2. Working on Client Retention and Marketing Strategies (Onboarding patients by doing promotional activities)

3. Cold calling and Field sales activities.

Key Responsibilities / Accountabilities:

Key Activities - End Results

1. R&D for Lead Generation:

Will ensure lead generation and conversion as well.

2. Competitive Research Analysis:

Research will ensure less error rates and hence more efficiency.

3. Provide Weekly and Monthly reports:

Will show regular growth and advancements.

4. Identify potential market and test them extensively:

Opens new market ways and hence will help in increasing revenue.

5. Collecting and evaluating customer feedback:

Will show customer or client satisfaction.

6. Evaluating customer research, market conditions and competitor data:

Will provide more insights and hence increase productivity.

Competency Profile:

1. Experiences in delivering client focused solutions to customer needs.

2. Ability to work to budgets and deadlines.

3. Highly Energetic

4. Self-discipline & commitment

5. Innovative & Creative

6. Cost Consciousness

7. Efficient in Microsoft office (Excel & PowerPoint)

8. Good reasoning abilities. Sound judgment.

9. A creative approach to problem-solving skill

10. Tactful, mature, flexible.

11. Result oriented

12. Strategic Thinker

13. Build and Maintain strong, long lasting client relationship.

14. Strong verbal and written communication