Territory Sales Manager

Strong Implementation Specialist / Implementation Engineer / Technical Implementation Associate (Post-Sales SaaS) Profiles

Mandatory (Experience 1): Must have 1+ years of hands-on experience in software/tech Implementation roles within technical B2B SaaS companies, preferably working with global or US-based clients

Mandatory (Experience 2): Must have experience in executing and supporting end-to-end SaaS product implementations, including customer onboarding, workflow & configuration setup, data modeling/data setup, API-based integrations, and go-live support.

Mandatory (Experience 3): Must have strong technical fundamentals — ability to understand data models, debug API workflows, read JSON payloads, write basic SQL queries, and support configuration troubleshooting.

Mandatory (Experience 4): Must have basic hands-on experience writing scripts (preferably JavaScript) for data migration, configuration automation, or workflow customization in SaaS products.

Mandatory (Experience 5): Must have worked in post-sales environments, supporting customer success and delivery after deal closure, ensuring product adoption, accurate setup, and smooth go-live.

Mandatory (Experience 6): Must have experience collaborating cross-functionally with product, engineering, and sales teams to ensure timely resolution of implementation blockers and seamless client onboarding.

Mandatory (Company Type): B2B SaaS startup or growth-stage company

Some specific Requirements:

• Must have proficiency in Python
• At least 3+ years of professional experience in software application development.
• Good understanding of REST APIs and a solid experience in testing APIs.
• Should have built APIs at some point, and practical knowledge on working with them
• Must have experience in API testing tools like Postman and in setting up the prerequisites and post-execution validations using these tools
• Ability to develop applications for test automation
• Should be able to create fixtures, mock object,s and datasets that can be used by tests across different micro-services
• Proficiency in gitStrong in writing SQL queries, tools like Jira, Asa,na a or similar bug tracking tool, Confluence - Wiki, Jenkins - CI tool

Good to have:

• Good understanding of CI/Knowledge of queues, especially Kafka
• Should have built an API test automation framework from scratch and maintained it
• Knowledge of cloud platforms like AWS, Azure
• Knowledge of different browsers and cross-platform operating systems
• Web Programming, Docker & 3-Tier Architecture Knowledge is preferred.
• Should know about API Creation, Coding Experience would be added on.
• Bachelor's degree in Computer Science / IT / Computer Applications

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

• Responsible for providing technical leadership, design and development of complex pieces of the service oriented architecture based platform.
• Modelling Database Design for large scale applications.
• Develop for performance engineering.
• Design for the right use of micro services, containerization and observability.

• Drive technology and product innovation through rapid prototyping and iterative development.
• Create reference implementation for our integrations and for backward compatibility.
• Not interested in managerial responsibilities

Requirements, Desired Skills and Experience

• Tech Stack based on Ruby-on-Rails, Python-Django or Node.js frameworks.

• Engineering degree 

   Opportunities for the right candidate

• Build and develop SaaS and PaaS products from scratch
• Build the best-in-class UX based products
• State of Art technologies (Latest trends in the industry)
• Work with a well-knit team, almost like one’s family
• Startup culture and advantages of working in a co-working space
• Performance based career progress and high visibility with management and founders

Location: HSR Layout, Bangalore

Job Title: Consultant - SDR / Inside Sales / Business Development

Job Overview:

As a Sales Development Consultant, you will be at the forefront of our sales efforts. You will be responsible for generating and nurturing leads, initiating meaningful interactions, and setting the stage for our sales team to succeed, all while operating within the US time zone.

Key Responsibilities:

Lead Prospecting:

o Identify and prospect potential customers and leads through various tools like LinkedIn Sales Navigator / Apollo / Lusha / Zoom Info

o Tailor outreach efforts based on lead characteristics and requirements.

Lead Qualification:

o Evaluate and qualify leads to ensure they meet predefined criteria and are ready for engagement by the sales team.

o Gather essential information to facilitate the sales process.

Ideal Customer Profiling:

o Prospect leads based on the ideal customer profile (ICP) and business requirements defined by the sales and marketing teams.

o Align sales efforts with our target customer segments.

Meeting Scheduling and Follow-Up:

o Initiate contact with potential customers to schedule product/service demonstrations and meetings.

o Maintain diligent follow-up to ensure appointments are attended and opportunities are maximized.

LinkedIn Outreach:

o Engage in strategic outreach on LinkedIn to connect with professionals, share valuable content, and build relationships.

o Craft personalized messages to initiate meaningful conversations.ns.

Urgent requirement for IT Recruiter for a US-based MNC

Apply only if you have experience in End to end It Recruitment.

Apply only if okay for CIEL HR payroll.

Please note the notice period. we are looking for an immediate to 15 days joiner only.

Experience: 3+ years

Location: Baner, Pune(looking for people in Pune only)

Notice Period: Immediate to 15 days

Working: currently WFH

Skills: End to End recruitment, Stakeholder management, Bulk hiring

Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience

About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.

The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles

Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT,  RoBERTa, XLNet 
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus


Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus

Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.