SEO Executive

Strong Enterprise B2B SaaS Sales Profile

Mandatory (Experience 1) – Must have minimum 3+ years of experience in Enterprise B2B SaaS Sales, with a strong focus on end-to-end sales management including prospecting, qualification, solutioning, negotiation, and closure.

Mandatory (Experience 2) - Must have strong hands-on experience in new business acquisition along with exposure to existing account management, including upselling and cross-selling opportunities.

Mandatory (Experience 3) – Must have managed long enterprise sales cycles (6+ months) and independently driven complex, multi-stakeholder deals from discovery to contract signing.

Mandatory (Experience 4) – Must have closed minimum ₹25 Lakhs ARR per deal and managed a portfolio of ₹1 Cr+ ARR (e.g., 4 enterprise deals worth ₹25L+ each).

Mandatory (Industry) – Prior experience in Logistics / Supply Chain SaaS Sales is strongly preferred. Candidates selling supply chain visibility, fleet management, freight tech, ERP, TMS, or related enterprise tech solutions will be highly preferred.

Mandatory (Stakeholders) – Must have experience engaging and negotiating with CXO / Senior Decision Makers (Supply Chain Heads, Logistics Heads, COOs, CIOs, etc.) in enterprise accounts.

Mandatory (Skills) – Strong communication, presentation, solution selling, and negotiation skills with the ability to design client-specific solutions and articulate value propositions clearly.

Mandatory (Tools & Process) – Experience in structured enterprise sales processes, pipeline forecasting, and CRM usage (Salesforce / HubSpot / Zoho or equivalent).

Mandatory (Location) –Candidate must be based out of Mumbai.

🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.

Job description

Team Leader – Collection Process

Experience: Minimum 2 years in loan recovery / collections

Education: Any Graduation

Role & Responsibilities:

Handle and manage a team of up to 20 collection agents

Achieve daily and monthly collection targets

Monitor team performance and provide guidance

Handle escalations and ensure process compliance

Prepare basic MIS and reports using Excel

Skills Required:

Strong knowledge of loan recovery process

Good Excel and data analysis skills

Team handling and leadership skills

Languages:

English mandatory

Any two South Indian languages mandatory

CTC: Based on previous CTC

Location: Bengaluru (On-site)

Job description

Kapture CRM is an enterprise-focused Service automation SaaS platform. We help 500+ enterprises in 14 countries to manage their customer service in a more intelligent, contextual way.

Responsibilities

• Manage and monitor all installed systems and infrastructure
• Install, configure, test and maintain operating systems, application software and system management tools
• Proactively ensure the highest levels of systems and infrastructure availability
• Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes
• Maintain security, backup, and redundancy strategies
• Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks
• Participate in the design of information and operational support systems
• Provide 2nd and 3rd level support
• Liaise with vendors and other IT personnel for problem resolution

Requirements:

• BS/MS degree in Computer Science, Engineering, or a related subject
• Proven working experience in installing, configuring and troubleshooting UNIX /Linux based environments.
• Solid experience in the administration and performance tuning of application stacks (e.g.,Tomcat, JVMS, Apache, NGINX, Email servers, Mysql)
• Solid Cloud experience AWS and Google Cloud
• Experience with virtualization and containerization (Dockers, Kubernetes, Eureka, Kafka)
• Experience with monitoring systems
• Experience with automation software (e.g., Puppet, cfengine, Chef)
• Solid scripting skills (e.g., shell scripts, Perl, Ruby, Python)
• Solid networking knowledge (OSI network layers, TCP/IP)

Website : https://www.kapturecrm.com/

Candidate should have overall exposure of accounts and finance (Including GST, TDS, Financial reporting, Monthly & Annually closing, MIS, payroll & Accounts payable)

Must be familiar with e-commerce business and have a good understanding of Marketplace & inventory-based business models, COD & Courier Freight Reconciliations. 

Eager to explore new areas and excited to work with business teams for problem-solving. 

Must be able to own his work and manage the timelines 

Should have a long term mindset not looking for short term salary hike. 

Good team player, hard-working, should have the ability to manage the cross-functional stakeholders 

Should have a good understanding of Excel, ERP & Tally and able to work with large data sets in excel knowledge of SQL will be an added advantage. 

• Expert in SAP master data/integration related experience
• Has participated in at least two large information transformation engagements
• ​Ability to work with and collaborate with all Teams and Individuals in the Business Teams and the SAP Teams toward developing a best practice data creation, maintenance, governance, quality, and efficiencies
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