
General Manager - Operations
General Manager - Operations
Department: Operations
Location: Goa (Corlim Industrial Estate)
Reports To: BOD Role
Summary: The General Manager – Production will lead the overall production function of the Elastic Plant in Goa, ensuring timely, cost-effective, and high-quality output. The role is responsible for achieving daily, monthly, and annual production targets, driving continuous improvement, managing production teams, and aligning plant activities with corporate goals while maintaining health, safety, and compliance standards.
Key Responsibilities:
1. Production Planning & Execution
• Oversee daily and long-term production schedules to meet delivery timelines and output targets.
• Coordinate with SCM, Maintenance, and QA for uninterrupted production flow.
• Monitor real-time production KPIs and take immediate corrective actions when needed.
2. Capacity Utilization & Productivity
• Optimize plant capacity and resource utilization (manpower, machines, materials).
• Drive initiatives for improving machine efficiency, reducing downtime, and eliminating bottlenecks.
• Implement lean manufacturing and productivity-enhancing practices.
3. Quality Control & Compliance
• Ensure adherence to product specifications and quality standards.
• Work with QA/Technical teams to address quality issues and customer feedback.
• Ensure compliance with SOPs, statutory regulations, audits, and certifications.
4. Cost Optimization
• Monitor production costs and control wastage of raw materials, utilities, and manpower.
• Identify opportunities to reduce cost per unit through process improvement and waste reduction.
5. Team Management & Development
• Lead and manage production supervisors, line managers, and floor staff.
• Define roles, set individual KPIs, monitor performance, and provide developmental feedback.
• Ensure effective training programs for skill development and safety practices.
6. Safety, Health & Environment
• Ensure adherence to all safety norms and regulations across the production floor.
• Promote a culture of safety and conduct periodic audits and drills.
• Ensure environmental compliance in waste disposal and energy usage.
7. Reporting & Reviews
• Maintain daily, weekly, and monthly production reports with key metrics.
• Participate in management reviews and provide insights into production performance.
• Propose improvement plans based on data trends and performance gaps.
Qualifications & Experience
• Education: Degree in Mechanical/Textile/Industrial Engineering or related discipline. Postgraduate qualification preferred.
• Experience: 12–15 years in production/manufacturing roles, with at least 5 years in a senior leadership role.
• Industry Preference: Elastic/Narrow Fabric, Textile, Garments, or Process Manufacturing.
Key Skills
• Strong command of production planning and execution • Leadership and team-building abilities
• Proficiency in lean manufacturing, 5S, Kaizen, and TPM
• Analytical and problem-solving mindset
• Working knowledge of ERP systems (SAP, Oracle, etc.)
• Commitment to quality, safety, and compliance

About Hunarstreet Technologies Pvt Ltd
About
At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.
We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.
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Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets.
Springer seeks an Remote LLM Intern to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.
Job Highlights
As an intern for the LLM team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.
What you will do as an intern:
Answer various business challenges using data generated through AI software.
Designing, monitoring, and implementing solutions to extract data using existing AI tools.
Report your findings in AI data to your manager.
Our commitment to your development:
Overarching and detailed training materials before interns hit the desk
Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback
Greater leadership and responsibilities will be given to interns based on work quality
Who we are looking for:
Strong experience using Excel.
Passionate about analyzing data.
Experience (preferred) with data analysis.
Research and problem-solving abilities.
About Springer:
Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.
Technical and legal Information
The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.
Some educational institutions require prior approval before the start of an internship. It is the responsibility of the student to check with their institution to be sure they meet any requirements before they accept a position.
As a Sales Development Representative (SDR), you will be responsible for supporting the sales team by identifying, prospecting, and qualifying potential clients. This entry-level role is ideal for someone with 1-2 years of experience in sales development or customer-facing roles, who is looking to grow their career in SaaS sales. This position offers a fantastic opportunity to learn about SaaS sales processes, sharpen outreach skills, and build relationships with industry professionals. This position involves regular client interaction, both virtually and in-person, and requires travel. The day-to-day
Lead Generation and Outreach
● Research potential clients within target industries and initiate contact via email, phone, and social media channels.
● Qualify inbound and outbound leads based on initial criteria to identify high-potential opportunities for the sales team.
● Conduct discovery calls to understand prospect needs and determine fit with jhana.ai’s offerings. Pipeline Management
● Keep CRM records(e.g., Salesforce, HubSpot) updated with lead information, activities, and progress.
● Ensure timely follow-up with prospects and manage the lead handoff process smoothly with Account Managers.
Support Sales Strategy
● Work closely with the SDR team to align on messaging and outreach strategies that resonate with our ideal customer profiles (ICPs).
● Attend weekly meetings and actively participate in brainstorming and strategic discussions. Performance Tracking &Reporting
● Track personal outreach metrics (e.g., emails sent, calls made, meetings set) and meet or exceed weekly/monthly targets.
● Share insights from prospect interactions to help refine sales messaging and improve lead qualification criteria.
Qualifications & Skills
● Experience: 1-2 years in an SDR, customer service, or other client-facing role, ideally within the SaaS or technology industry.
● Strong Communication Skills: Excellent verbal and written communication skills with an ability to connect with people and convey value concisely.
● Adaptability and Resilience: Able to handle a fast-paced environment and manage constructive feedback, with a positive, solutions-oriented mindset
● Curiosity and Willingness to Learn: Strong interest in understanding customer needs and learning the sales process in depth.
● Organizational Skills: Ability to prioritize tasks effectively, manage time efficiently, and keep track of multiple interactions and leads.
● Tech-Savvy: Basic familiarity with CRM systems (e.g., Salesforce, HubSpot) and sales engagement tools (e.g., Outreach, SalesLoft). Comfortable with learning and using new software.
● Team Collaboration: Willingness to work closely with Account Managers, other SDRs, and Marketing to share insights and align on lead qualification strategies.
● Self-Motivated and Goal-Oriented: Driven to achieve targets, with a proactive approach to managing outreach and follow-up activities
. ● Understanding of SaaS Sales (Preferred): Basic knowledge of SaaS sales cycles and customer pain points, especially within legal or tech industries, is a plus.
Responsibilities
- Manage and drive a team of Data Analysts and Sr. Data Analysts to provide logistics and supply chain solutions.
- Conduct meetings with Clients to gather the requirements and understand the scope.
- Conduct meetings with internal stake holders to walk them through the solution and handover the analysis.
- Define business problems, identify solutions, provide analysis and insights from the client's data.
- 5 Conduct scheduled progress reviews on all projects and interact with onsite team daily.
- Ensure solutions are delivered error free and submitted on time.
- Implement ETL processes using Pentaho Data Integration (Pentaho ETL)Design and implement data models in Hadoop.
- Provide end-user training and technical assistance to maximize utilization of tools.
- Deliver technical guidance to team, including hands-on development as necessary; oversee standards, change controls and documentation library for training and reuse.
Requirements
- Bachelor's degree in Engineering.
- 16+ years of experience in Supply Chain and logistics or related industry and Analytics experience.
- 3 years of experience in team handling(8+People) and interacting with the executive leadership teams.
- Strong project and time management skills with ability to multitask and prioritize workload.
- Solid expertise with MS Excel, SQL, any visualization tools like Tableau/Power BI, any ETL tools.
- Proficiency in Hadoop / Hive.
- Experience Pentaho ETL, Pentaho Visualization API, Tableau.
- Hands on experience of working with Big data sets (Data sets with millions of records).
- Strong technical and Management experience.
Desired Skills and Experience
- NET,ASP.NET
Technical Knowledge (Must Have)
- Strong experience in SQL / HiveQL/ AWS Athena,
- Strong expertise in the development of data pipelines (snaplogic is preferred).
- Design, Development, Deployment and administration of data processing applications.
- Good Exposure towards AWS and Azure Cloud computing environments.
- Knowledge around BigData, AWS Cloud Architecture, Best practices, Securities, Governance, Metadata Management, Data Quality etc.
- Data extraction through various firm sources (RDBMS, Unstructured Data Sources) and load to datalake with all best practices.
- Knowledge in Python
- Good knowledge in NoSQL technologies (Neo4J/ MongoDB)
- Experience/knowledge in SnapLogic (ETL Technologies)
- Working knowledge on Unix (AIX, Linux), shell scripting
- Experience/knowledge in Data Modeling. Database Development
- Experience/knowledge creation of reports and dashboards in Tableau/ PowerBI
- Having 6+ experience as a QA/SDET
- Having good knowledge on iOS/Android App based apps testing.
- Having good exposure on mobile based application testing and testing process.
- Good knowledge on backend API testing
- Good in writing manual test cases with all possible scenarios.
- Good exposure on JIRA, Zypher and QC.
- Good in debugging skills and ELK stack.
- Good to have experience in Java and automation technologies
- Reads typescript or proof page to detect and mark for correction any grammatical, typographical, or compositional errors
- Check page numbers and headings are correct, Spelling and other aspects, such as the use of capital letters, are consistent, Chapter headings match the contents table, Photos and illustrations are correctly captioned
- Check spelling and grammar.
- Reads proof against copy, marking by standardized code, errors that appear in proof.
- Raise appropriate compositor queries.
- Returns marked proof for correction and later checks corrected proof against copy.
- May measure dimensions, spacing, and positioning of page elements to verify conformance to specifications, using printer's ruler.
- Ensures that pages are whole and logically arranged
- He/she should be able to carry out the work mentioned in an independent manner.
- He/she should be able to quality-check the work of his/her team members.
- He/she should plan and monitor the flow of work (based on priorities)
- He/she should be able to provide classroom/on-the-job training to his/her team members and help them overcome their weaknesses.
- He/she should be responsible for his/her team producing an error-free output.
- He/she should check the mail correspondence regarding workflow regularly
EXPERIENCE PROFILE
- Able to perform edit/proofread independently and make the work done by the team members delivery ready
- Postgraduate in any field of science; good command over the English language; an eye for detail; exposure to various style guides; readiness to meet daily/monthly productivity targets; and maintaining the expected quality norms
Desirable
- Good communication skills; team player; problem-solving skills; proactive and innovative
Title
ML Product Manager
Reporting to
Sr. Director of Product Management
About the role
We are looking for a Product Manager for our AI/ML Product team that is responsible for delivering ML powered products and applications such as Campaign recommendations and personalization.
As part of the team, the candidate will lead the full product lifecycle of the product, including market research, competitive analysis, gathering requirements, developing specifications, and getting the product developed and delivered to customers.
You will help transform ideas into AI products for our customers and drive adoption working with cross functional teams.
What You'll Do
- Own product feature from market research, execution, go-to-market and impact evaluation.
- Review customer feedback, analyze impact and prioritize it, and convert into clearly defined product requirements to create a feature backlog
- Write product specs, define product UI with the UX team, review test plans.
- Collaborate with Engineering in product development, validating builds and driving releases to meet target dates.
- Be the product champion. Document product functionality and train the organization on new features. Define the value proposition of your products and guide marketing / sales in selling your products.
- Facilitate in data-driven decision making and create the telemetry and metrics required to evaluate the success of the products you launch.
- Define and drive internal and external pilots prior to releases to gather early feedback and ensure adoption of new features and functionality.
What You'll Need
- 4+ years of Product Management experience in an enterprise B2B/B2B2C SaaS company building products in one or more of the following domains: marketing cloud products, such as Campaign Management, Segmentation, Marketing Automation
- Experience working on AI/ML projects and applications, Data & Analytics
- Experience working in Agile development environment
- Strong analytical and problem-solving skills
- Strong communication skills
- Self-starter, detail-oriented
- Technical background required. MBA is a strong plus.
Bonus Points if You Have
- Familiarity with multi-cloud environments
- Familiarity with Enterprise Data Platforms, CDP and Enterprise Integrations
Data auditing, validating and monitoring all data for accuracy.
Create daily, weekly, monthly and quarterly MIS report.
Coordinating & collecting the data
Updated the data in CRM
Greetings!!
This email is regarding a job opportunity with a position of Angular Developer at our India Branch, Valsad Location.
Differentiating Factors :
- Five-day working/ 40 hours per week
- Flexible Working Hours
- Evening Refreshments
- Best package in this area
- Balance between work and personal life
- Company culture which encourages new ideas and innovation
- Talents with diverse and broad experience
*Salary: No bar ON Right Candidate.
We are looking for People who are passionate about their work. If you are interested or have references, kindly send your updated CV
“Please go through the company profile and share your feedback and thoughts.
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