
We are looking for a dynamic and self-driven sales representative to join our team. As a SaaS Sales Representative, you will be responsible for driving sales of our recruitment software to new and existing customers. You will identify and qualify leads, create and deliver persuasive sales presentations, and close deals to meet and exceed sales targets.
Key responsibilities:
- - Identify and qualify potential customers through a variety of methods, including outbound calls, emails, and social media outreach
- - Understand customer needs and provide solutions through the use of our recruitment software
- - Create and deliver compelling sales presentations to potential customers, highlighting the benefits and features of our software
- - Negotiate and close deals with potential customers
- - Meet and exceed sales targets on a monthly and quarterly basis
- - Keep up-to-date with industry trends and competitive products
Qualifications:
- - 1- 4 years of experience in a SaaS sales role
- - Proven track record of meeting or exceeding sales targets
- - Excellent communication and presentation skills
- - Ability to build and maintain strong relationships with customers
- - Ability to work independently and as part of a team
- - Experience with CRM software (e.g., Salesforce) is a plus
- - Experience in the recruitment industry is a plus, but not required
If this sounds like a good fit for you, please apply with your resume and a cover letter explaining why you are interested in this role. We look forward to hearing from you!

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**Job Title:** Business Development Manager- IT Technology Products (Manufacturing Sector)
**Location:** [Faridabad]
**Department:** Sales
**Reports To:** Sales Manager / Director of Sales
**Employment Type:** Full-Time
### Job Summary
We are seeking a dynamic and results-driven Sales Executive with a strong background in the manufacturing industry to drive sales of IT technology products and solutions. The ideal candidate will leverage their understanding of manufacturing plant operations, processes, and challenges to effectively position and sell IT solutions such as ERP systems, IoT platforms, automation software, and other technology products tailored to enhance manufacturing efficiency, productivity, and digital transformation.
### Key Responsibilities
- **Prospecting & Lead Generation:** Identify and target potential clients within the manufacturing sector, including factories, plants, and industrial organizations, to generate new business opportunities.
- **Client Relationship Management:** Build and maintain strong relationships with key decision-makers, including plant managers, operations heads, and IT directors, to understand their needs and challenges.
- **Solution Selling:** Present and demonstrate IT technology products (e.g., ERP, MES, SCADA, IoT solutions, cloud platforms, and cybersecurity tools) tailored to address manufacturing-specific pain points.
- **Consultative Approach:** Collaborate with clients to assess their technical requirements, provide customized solutions, and highlight the value of IT products in optimizing manufacturing processes.
- **Sales Targets:** Achieve and exceed monthly, quarterly, and annual sales quotas by closing deals and expanding the customer base.
- **Market Research:** Stay updated on industry trends, competitor offerings, and advancements in manufacturing and IT technologies to position our products effectively.
- **Proposal & Negotiation:** Prepare and present proposals, quotes, and contracts, and negotiate terms to close deals while ensuring customer satisfaction.
- **Collaboration:** Work closely with the technical team, product managers, and marketing to ensure seamless delivery and implementation of IT solutions.
- **Reporting:** Maintain accurate records of sales activities, pipeline, and forecasts using CRM tools.
### Qualifications & Skills
- **Experience:**
- Minimum of 3-5 years of sales experience, with a proven track record of selling IT technology products or solutions.
- At least 2 years of experience working with or within manufacturing plants, with a deep understanding of production processes, supply chain, and operational challenges.
- **Education:** Bachelor’s degree in Business, Engineering, IT, or a related field. (MBA or relevant certifications are a plus.)
- **Technical Knowledge:** Familiarity with IT products such as ERP (e.g., SAP, Oracle), Manufacturing Execution Systems (MES), IoT platforms, automation software, and cloud solutions.
- **Industry Insight:** Strong understanding of manufacturing workflows, lean principles, and the role of technology in digital transformation.
- **Skills:**
- Excellent communication, presentation, and negotiation skills.
- Ability to build rapport and trust with technical and non-technical stakeholders.
- Proficiency in CRM software (e.g., Salesforce, HubSpot) and MS Office.
- Self-motivated, goal-oriented, and able to work independently and in a team.
- **Other:** Willingness to travel to client sites (manufacturing plants) as needed.
### Preferred Qualifications
- Prior experience selling to industries such as automotive, pharmaceuticals, or heavy machinery manufacturing.
- Knowledge of Industry 4.0, smart manufacturing, and emerging technologies like AI, machine learning, and big data in manufacturing.
- Established network of contacts within the manufacturing sector.
### Compensation & Benefits
- Competitive base salary + commission structure.
- Paid time off and holidays.
- Opportunities for career growth and professional development.
Senior Machine Learning Engineer
📍 Location: Remote
💼 Type: Full-Time
💰 Salary: $800 - $1,000 USD / month
Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6
About Us
At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.
Position Overview
We’re hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.
Key Responsibilities
📌 Design and Deliver Core Detection Pipeline
Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.
📌 Model Strategy, Development, and Optimization
Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.
📌 Latency-Conscious Production Readiness
Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.
📌 Evaluation Framework and Continuous Testing
Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.
📌 Deployment Engineering and API Integration
Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.
Required Skills & Qualifications
🎯 Technical Skills:
ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript
Audio Libraries: Librosa, Torchaudio, FFmpeg
Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet
Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation
Optimization: Quantization, pruning, GPU acceleration
DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC
🎯 Preferred Experience:
Prior work on audio deepfake detection or telephony speech processing
Experience with real-time ML model deployment
Understanding of adversarial robustness and domain adaptation
Familiarity with call center environments or telecom-grade constraints
Compensation & Career Path:
Competitive pay based on experience and capability. ($800 - $1,000 USD / month)
Full-time with potential for conversion to a core team role.
Opportunity to lead future research and production deployments as part of our AI division.
Why Join Momenta?
Solve a global security crisis with cutting-edge AI.
Own a deliverable that will ship into production at scale.
Join a fast-growing team with seasoned founders and engineers.
Fully remote, high-autonomy environment focused on deep work.
🚀 Apply now and help shape the future of voice security
Responsibilities:
- Lead simultaneous development for multiple business verticals.
- Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
- Ensure that exceptional standards are maintained in all aspects of engineering.
- Collaborate with other engineering teams to learn and share best practices.
- Take ownership of technical performance metrics and strive actively to improve them.
- Mentors junior members of the team and contributes to code reviews.
Requirements:
- A passion to solve tough engineering/data challenges.
- Be well versed with cloud computing platforms AWS/GCP
- Experience with SQL technologies (MySQL, PostgreSQL)
- Experience working with NoSQL technologies (MongoDB, ElasticSearch)
- Excellent Programming skills in Python/Java/GoLang
- Big Data streaming services (Kinesis, Kafka, RabbitMQ)
- Distributed cache systems(Redis, Memcache)
- Advanced data solutions(BigQuery, RedShift, DynamoDB, Cassandra)
- Automated testing frameworks and CI/CD pipelines Infrastructure orchestration(Docker/Kubernetes/Nginx)
- Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3 Route53 SES
- Cultivating solid relationships with clients through the provision of exceptional after-sales service.
- Creating a positive onboarding experience for new clients.
- Regularly interacting with clients through telephone calls, email communications, or face-to-face meetings.
- Identifying ways to overcome clients' initial dislike of company products.
- Maintaining an accurate record of all existing and potential clients.
- Responding to client inquiries in a timely and professional manner.
- Training and providing overall guidance to client service employees.
- Organizing training seminars to enable clients to fully utilize product features and benefits.
- Ensuring that the correct terms of sale are entered into the client database to prevent avoidable billing issues.
• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment
Oracle OAS Developer
Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.
Qualifications
Bachelor university degree in Engineering/Computer Science.
Additional information
Have knowledge of Financial and HR dashboard
o Convert machine learning models into APIs for applications accessibility
o Running machine learning tests and experiments
o Implementing appropriate ML algorithms
o Creating machine learning models and retraining systems
o Study and transform data science prototypes
o Design machine learning systems
o Research and implement appropriate ML algorithms and tools
o Train and retrain systems when necessary
o Test and deploy models
o Use AI to empower the company with novel capabilities
o Designing and developing machine learning and deep learning system
o Outstanding analytical and problem-solving skills
• Alexa
o Excellent in Python programming
o Experience with AWS Lamda
o Experience with Alexa skills
o Alexa skill directives
o Excellent in NodeJS programming
o Experience with GCP - Dialog Flow and Actions on Google
o Using built-in intents and developing custom intents
o API integration and Postman knowledge
Customer / Tech Support Engineer JD
We are looking for a Customer Support Engineer/Tech Support Engineer who will be solving high-priority customer technical issues in a fast-paced environment. The support team is the foundation of everything the company does, and we take the role of supporting our merchants seriously. This is a highly cross-functional role; you'll work closely with company’s merchants to uncover their business goals and then coach them on the best ways to use the company website to achieve them. Your role would involve explaining technical concepts, providing support for overall systems testing and implementation into the production, and creating and improving documents that help customers solve their problems. If you are someone who enjoys solving merchants' technical problems, we want to hear from you.
What You’ll Do:
- Participate in requirement, design discussions, and come up with solutions according to functional specifications
- Develop in-depth product expertise as a master Fulfil user and teacher
- Translate highly complex business requirements into technical solutions through efficient design and using appropriate tools and technologies
- Technical support and troubleshooting production issues and solution implementation
- Collaborating with the product team to share customer feedback, ensuring we continue to learn and improve our product and processes
- Identifying and resolving application issues, providing feedback for product improvements and overall direction
- Proactively identify areas of improvement and talk to our customers to ensure they are getting the most out of the product
- Involved in other programming and documentation including API references, guides, and tutorials
- Take an analytical approach to tracking points of friction for users, and then work with other teams to make those parts of our platform better
Requirements
We’re Looking for Someone With:
- Demonstrated proficiency with Python and SQL
- Relevant experience in working with eCommerce industry APIs e.g. Shopify, Magento, shipping carriers (e.g. USPS, DHL, FedEx etc), and Payment platforms
- Ability to adapt and write high-quality code that will be peer-reviewed.
- Familiarity with code versioning tools like GIT.
- Experience in working with web services i.e. HTTP, REST, JSON
- Superior interpersonal and customer support skills to provide excellent service
Senior Fullstack Developer (MERN Stack) having min 4 years of relevant experience with hands-on experience in handling all aspects of Product Management internal and external facing Product development. Work with Founders to set a product vision and strategy that delivers unique value based on customer needs and expectation. Work closely with development and program management to deliver products and features.
Key Responsibilities
- Demonstrated experience managing the full product development life cycle, including product conceptualization, prototyping, and development
- Software development experience to not just be able to solve stuff on your own but also to better communicate / manage and colloborate between team
- Hands on leader who's comfortable coding, providing code reviews, and leading complex architectural design discussions in team setting. Can set coding standards, ensure quality.
- Team leading experience
- Technical Expertise in AWS deployment
- Very deep capabilities to architect enterprise class applications on the cloud with web/mobile front ends. Microservices Architecture. Cross-platform integrations.
Stack base:
UI - Tailwind, styled components, react (familiar in Functional components and hooks) and react router
State management - Redux and redux saga,
Backend - Express and node,
Database - Redis and MongoDB with mongoose ODM








