Account Manager

Criteria

Mandatory

Strong Senior Business & Data Analyst Profile with deep experience in sales incentives and compensation analytics

Mandatory (Experience 1) – Must have 3+ years of experience in a Business analyst/Data analyst/Product analyst role with atleast 2+ years in BFSI/Fintech/B2B SaaS domain handling incentives or commissions

Mandatory (Experience 2) – Must have hands-on experience managing sales commissions, incentives, or variable pay programs (CRM administration alone is not sufficient).

Mandatory (Experience 3) – Must have worked independently on analytical workstreams, from problem framing through to stakeholder presentation.

Mandatory (Tech skill 1) – Must have deep proficiency working with complex, large, messy sales and incentives datasets (commission plans, quota structures, channel programs, and payout workflows)

Mandatory (Tech skill 2) – Must have a solid understanding of how commission plans are structured, how channel incentives differ from direct sales comp, and why calculation accuracy and auditability matter.

Mandatory (Tech skill 3) – Must have advanced Excel skills — building models from scratch, nested formulas, pivot tables, and strong calculation accuracy.

Mandatory (Tech skill 4) – Must have a track record of translating business requirements into precise product requirements, bridging business stakeholders and product/engineering teams.

Mandatory (Communication) – Must have clear written and verbal communication with both technical and non-technical stakeholders.

Mandatory (Domain) – Must have prior exposure to BFSI/Fintech/B2B SAAS platforms dealing with Sales Performance Management (SPM), Incentive Compensation Management (ICM), or channel incentives (commission automation, quota & territory planning, gamification, or channel partner loyalty).

Mandatory (Note): The compensation is inclusive of variable (Exact breakdown is subjective to each candidate)

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

• Ability to understand business requirements and translate them into technical requirements
• Write, test, and release world-class, production-ready code
• Ensure that the data needs of the UI are fulfilled with efficient database queries
• Ensure compliance with software engineering standards and processes defined at Simform.
• Optimizing components for maximum performance across a vast array of web enabled devices and browsers

• Solid hands-on experience with ReactJS frontend development with modern practices. 
• HTML5, JavaScript, ES6, and TypeScript expertise
• Experience with   React .js / D3.js / GraphQL is a plus
• Proficiency with CSS3, Sass, and Mixins - knowledge of GSAP would be a plus
• Familiarity with RESTful APIs integration 
• Experience with common front-end development tools such as Babel, Webpack, NPM, Bower, Gulp etc. 
• Familiarity with code versioning tools such as Git, SVN, Github, Bitbucket

Position Summary

We are seeking an experienced Senior Test Engineer to ensure the quality and reliability of our full-stack mobile and web applications built with React Native and Ruby on Rails. In this role, you will work closely with cross-functional teams to design and execute testing strategies, develop automation frameworks using Selenium and BrowserStack, and contribute to the continuous improvement of our QA processes.

Key Responsibilities

1. Testing Strategy and Execution:

• Develop and execute comprehensive test plans for mobile and web applications.

• Conduct functional, regression, performance, compatibility, and security testing.

• Collaborate with developers, product managers, and stakeholders to clarify requirements and ensure test coverage.

2. Automation Frameworks and Tools:

• Build and maintain test automation frameworks for web and mobile applications using Selenium and BrowserStack.

• Create and maintain automated test scripts for cross-browser and cross-device testing.

• Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitHub Actions.

3. Mobile and Web Application Testing:

• Perform testing of React Native mobile applications across various devices and platforms using BrowserStack.

• Validate web application functionality across multiple browsers and screen resolutions with Selenium.

• Ensure the performance and responsiveness of applications on both mobile and web platforms.

4. Defect Management and Reporting:

• Log and track defects in tools like JIRA , working closely with developers for resolution.

• Provide detailed test reports and feedback to stakeholders, highlighting risks and improvement opportunities.

5. Performance and Load Testing:

• Execute backend performance and load testing for Ruby on Rails applications using tools like JMeter.

• Analyze application performance metrics to identify potential bottlenecks.

6. Process Improvement:

• Actively contribute to improving QA processes and adopting best practices for testing and automation.

• Participate in Agile/Scrum ceremonies, ensuring quality is integrated into each sprint cycle.

• Help with internal and external audits inline with Quality Management System.

7. Documentation and Knowledge Sharing:

• Maintain detailed documentation of test cases, automation scripts, and testing processes.

• Share insights and technical knowledge with team members to support their growth.

Qualifications and Skills

1. Technical Expertise:

• Hands-on experience in testing mobile applications built with React Native.

• Experience in backend testing for Ruby on Rails, including API testing using tools like Postman or Swagger.

• Proficiency with automation frameworks such as Selenium and tools like BrowserStack.

2. Automation Skills:

• Strong skills in developing and executing automated test cases for web and mobile applications.

• Knowledge of programming languages like Java, JavaScript, or Python for automation scripting.

• Experience integrating test automation into CI/CD workflows.

3. Problem-Solving and Collaboration:

• Ability to analyze complex systems, troubleshoot issues, and propose solutions.

• Strong collaboration skills with the ability to work closely with cross-functional teams.

4. Industry Knowledge:

• Familiarity with Agile methodologies and test-driven development practices.

• Understanding of best practices in security, performance, and accessibility testing.

• Exposure to Health Tech and related domains is a plus.

• Exposure to start up environment is a plus.

5. Preferred Skills:

• Experience with cloud environments (e.g., AWS, Azure, GCP) for testing and deployment.

• Knowledge of SQL/NoSQL databases for database validation and testing.

• Awareness of mobile app deployment processes for App Store and Google Play.

Education and Experience

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

• 4+ years of QA/testing experience with expertise in mobile and web application testing.

• Hands-on experience with React Native and Ruby on Rails applications is highly preferred.

Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work opportunities.

• Professional development and training reimbursement.

Customer Care Executive

Location: Jaipur.

Job Type: Full-Time

Experience Level: Entry Level (Freshers)

Responsibilities:

• Provide exceptional customer support via phone, email, or chat.
• Assist customers with inquiries, product information, and issue resolution.
• Maintain accurate and detailed customer records.
• Ensure customer satisfaction through effective communication and problem-solving.
• Adhere to company policies and procedures.

Qualifications:

• High school diploma or equivalent.
• Strong communication skills (written and verbal).
• Excellent interpersonal skills.
• Willingness to learn and adapt in a fast-paced environment.

Benefits:

• 14 Days Accomondataion.

As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.

Roles and Responsibilities:

• Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
• Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
• Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
• Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
• Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
• Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
• Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.

Requirements:

• Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
• Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
• Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
• Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
• Proven ability to translate complex data into actionable insights for stakeholders.
• Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
• Comfortable working under tight deadlines and strong attention to detail.
• Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
• Knowledge of GDPR, PECR, and other relevant privacy regulations.

Job Description:

• Research and write original, well-researched, and informative content for the website and blog.
• Work closely with the marketing team to create content that aligns with the company’s overall marketing strategy.
• Collaborate with the subject matter experts to ensure that all the content is accurate and up-to-date.
• Optimize content for search engines and ensure that it is easily discoverable by users.
• Monitor website analytics to identify areas of improvement and adjust the content strategy accordingly.
• Stay up-to-date with the latest trends and best practices in content creation and SEO.