Sales Manager | Angul

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

The Opportunity

CloudSufi is building a focused, research-led outbound program to reach a concentrated set of Sales-Qualified Accounts five cycles, each targeting a tight account list that's been intentionally selected, not scraped. The program only works if someone owns the execution with real precision: the right accounts, the right contacts, the right message, the right sequence. You'll be the first person to own ABM end-to-end at CloudSufi. Your pipeline numbers will be visible to everyone.

What You'll Do

• Build and manage a focused target account list each cycle using intent signals and tech stack data deliberate selection, not volume plays.
• Achieve multi-role contact coverage (economic buyer, technical evaluator, champion) across Tier 1 accounts before any sequence launches.
• Run structured data enrichment workflows to build verified, deliverable contact lists at target accounts sequencing providers and fallbacks until coverage meets the bar.
• Build and deploy multi-touch outreach sequences: personalized messaging across email and LinkedIn, adapted at the account and persona level using AI-powered workflows.
• Build AI workflows to automate and accelerate your outreach motion — including multi-agent pipelines, sub-agent orchestration, and evaluation frameworks to measure what's working.
• Track what matters — account-to-opportunity conversion, cost-per-meeting, influenced revenue — and cut sequences that don't move those numbers.
• Build and maintain dashboards that give the team clear, real-time visibility into pipeline health: accounts touched, responses, meetings booked, conversion by segment and persona.
• Brief the Content Lead weekly on what messaging hooks and assets are landing — close the loop between content production and outreach performance.

Must-Haves

• You understand how ABM works end-to-end: account selection logic, contact mapping, sequence architecture, and conversion measurement. You don't need to be told the process — you have one.
• You've built AI workflows in your day-to-day — not as experiments, but as infrastructure. You can build multi-agent pipelines, deploy sub-agents for specific tasks, and run evals to know whether your automation is actually working.
• You connect your work to pipeline. When asked what your best campaign delivered, you answer in opportunities created and revenue influenced, not open rates or impressions.
• You've done multi-stakeholder mapping: you know the difference between a champion, a technical evaluator, and an economic buyer, and you sequence them differently.
• You measure everything and build dashboards to make that visibility real — for yourself and for the team. If a metric isn't visible, it doesn't exist to you.

Strong Preferences

• You've worked in a small team or startup where you owned the full outbound stack, not just one slice.
• You've managed enrichment workflows across multiple data providers — you know what to do when your primary source fails.
• You have a point of view on what makes a sequence worth running versus worth killing.

Hiring Process

Round 1 — Structured Screen with HR (10 min)

Five short questions — no prep needed. We're testing whether your instincts are right for this role before investing more time on both sides. Questions cover how you built your last outbound sequence, how you use AI in your workflow, and what leading indicator tells you a sequence isn't working. One hard disqualifier: describing AI use as "I use ChatGPT to write emails."

Round 2 — 90 min with GTM Lead (merged discussion + live build)

30 min discussion: We go deep on one or two campaigns from your R1 answers — not in theory, in specifics. Walk us to the number. Show us the AI workflow you mentioned. Describe the buying committee you mapped.

60 min live build (brief sent 24h before, screen shared throughout): Using public sources and Claude, you build four things — a 10-company ICP-fit account list with fit scores, buying contacts at the top 3, a personalised first-touch email to your #1 account, and a lead scoring framework for 200 accounts. The brief is realistic, not a trick. We're watching how you decompose the task, how you use AI structurally, and whether your email is company-specific or a name swap on a template.

Round 3 — Culture and Fit (30 min)

A conversation with the broader team. We're looking for someone who is direct, self-driven, and comfortable building in ambiguity. You'll get a sense of how we work; we'll get a sense of whether this is the right environment for you.

HR Executive (Recruitment & Payroll)

Overview

Dolat Capital is a technology-driven, multi-strategy quantitative trading firm trading in financial markets. Founded by Shri Dolatbhai Shah in 1971, we thrive on innovation, math, and technology. Our HR team plays a vital role in building and supporting world-class teams to drive our vision forward.

We are seeking a smart, confident, and result-oriented HR Executive (Recruitment & Payroll) to join our HR team. This role will focus on 70% recruitment activities and 30% payroll & HR operations.

Roles & Responsibilities

Recruitment

• Manage end-to-end recruiting cycle for IT & Non-IT roles.
• Source, screen, and evaluate candidates using innovative methods.
• Conduct HR rounds, negotiate offers, and manage candidate experience.
• Handle onboarding, joining formalities, and employment documentation.
• Drive campus recruitment initiatives and build strong university relationships.
• Support employee engagement initiatives.

Payroll & HR Operations

• Manage monthly payroll processing, attendance, and leave records.
• Address employee queries related to payroll, attendance, and HR policies.
• Maintain and update employee database and generate MIS reports.

Skills & Experience

• Bachelor’s degree with strong academic record.
• 1–5 years of hands-on experience in recruitment and payroll.
• Prior exposure to IT/Tech hiring and payroll software is a plus.
• Excellent communication, negotiation, and interpersonal skills.
• Strong attention to detail, confidentiality, and problem-solving ability.

Benefits

• Young & dynamic, cubicle-free workplace.
• Competitive salary.
• Opportunity to work in a fast-paced, tech-driven environment.

Requirements

• Design and implement a full-stack web application using Python Django framework and ReactJS.
• 1+ years of experience in building and deploying web applications.
• Experience in designing and using RESTful APIs.
• Basic knowledge in front-end technologies such as JavaScript, , ReactJS, HTML5, and CSS3.
• Understanding of fundamental design principles behind a scalable application.
• Understanding of databases, SQL and non-relational, plus the Django ORM.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Experience in web mark-up like HTML and CSS.
• Experience with data structure libraries.
• Familiarity with RESTful APIs.
• A knack for bench marking and optimization.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end build pipelines and tools.
• Experience with common front-end development tools such as NPM etc.
• Strong knowledge of Git version control.
• Experience deploying Python applications into production.
• Amazon Web Services (AWS) knowledge is a plus.
• 
  

Responsibilities

• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performance applications using Django framework in Python.
• Create and use the REST APIs for communicating with other apps.
• Assess and prioritize feature requests and work in Agile framework.
• Implementation of security and data protection algorithms.
• Integration of data storage solutions like databases, key-value stores, blob stores, S3 etc.
• Improve the functionality of existing systems and applications.
• High commitment to work and taking ownership of deliverables.
• Help to research and influence our path forward with strategic technology initiatives.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

ABOUT COMPANY

StyleCracker is India’s largest personal styling platform. By seamlessly combining data science with human expertise, the Company has reinvented the way Indian’s consume fashion and has democratized personal styling at incredible scale.

Our Core Value Proposition

• Convenient - the boxes are delivered to your doorstep, saving you time and effort.
• Personalised- your box is curated by your own personal stylist based on your preferences.
• Value For Money- we are able to offer our customers considerable value, well over the amount they pay for the box. 

Responsibilities and Duties

• Outgoing sales calls (not cold calls) to customers and assisting them with their purchase process and guiding them about how StyleCracker works with our various offerings.
• Tracking daily and monthly reports of the calls and conversions made.
• Training new joinees with pitching and other guidance.
• Visiting StyleCracker events and do on ground sales.

Key Skills
Communications, Telecommunication, Inside Sales

Required Experience and Qualifications

• Excellent communication skills. Proficient in English
• Good Convincing Power
• Event Handling.
• Target Oriented
• Budget: 20 ,000 - 25,000 + incentives
• Job Type: Full-time

Location:

Mumbai, Dadar

We are looking for an android developer to enhance design, fix bugs, improve performance and develop new features of a functional Android application

Responsibilities & Skills

An ideal candidate:

Should have 3+ years of professional experience in autonomously designing, developing, testing, debugging and maintaining mobile applications on the Android platform

Should have hands-on experience with Android SDK and Android Frameworks

Should have expertise in building REST API in PHP with MySQL database, and seamlessly integrating it with backend services, third party APIs and Android application

Should be well conversant with Android UI design principles

Should fix bugs and improve Android application performance

Should develop new features of the Android application

Should assume end-to-end ownership of the Android application and assigned tasks

Should work independently without the need of guidance and supervision

Education