
Position Title: Business Development Manager.
Experience: 7+ Experience
Location: Delhi
Working Mode: On Site
Primary skills:IT Securitiy, Data scuritiy ,Data backup sales , corporate customers , OEM,IT Hardware , IT Software
Qualification : Any
Essential Duties and Responsibilities:
Sale of hardware, data security and data backup solutions to corporates of Delhi NCR
- It’s a Client facing role with a proven experience into security or backup solution sales.
- Meet Monthly/ Quarterly/Yearly target of customer meetings and sales target.
- Identify and close deals into SMB/Enterprise segment.
- Manage a healthy relationship with the OEMs.
- Must have a good understanding of IT Security solutions (Endpoint/Networking/Data Security, DLP, Backup, NGF, MDM, Helpdesk, Asset etc) or backup solutions (server backup, desktop/ laptop backup, replication)
- Sell data security and data backup solutions to corporate customers of Delhi NCR
Skill Requirements:
- Good communications skills.
Mandatory Requirement
- At least 7 years’ experience of selling data security or data backup solutions to corporate customers of Delhi NCR form Delhi NCR
Education and/or Work Experience Requirements:
- At least 7 years’ experience of selling data security or data backup solutions to corporate customers of
- 7+ years of experience in the Mandatory Requirements given below.
- Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service.

About Arting Digital
About
Similar jobs
Required Technical Skill Set:Teradata with Marketing Campaign knowledge and SAS
Desired Competencies (Technical/Behavioral Competency)
Must-Have
1. Advanced coding skills in Teradata SQL and SAS is required
2. Experience with customer segmentation, marketing optimization, and marketing automation. Thorough understanding of customer contact management principles
3. Design and execution of campaign on consumer and business products using Teradata communication manager and inhouse tools
4. Analyzing effectiveness of various campaigns by doing necessary analysis to add insights and improve future campaigns
5. Timely resolution of Marketing team queries and other ad-hoc request
Good-to-Have
1. Awareness of CRM tools & process, automation
2. Knowledge of commercial databases preferable
3. People & team management skills

Location: Remote / Hybrid (Silicon Valley)
? Job Type: Full-Time
? Experience: 4+ years
About Altimate AI
At Altimate AI, we’re revolutionizing enterprise data operations with agentic AI—intelligent AI teammates that seamlessly integrate into existing workflows, helping data teams build pipelines, automate documentation, optimize infrastructure, and accelerate delivery.
Backed by top-tier investors and led by Silicon Valley veterans, we’re on a mission to automate and streamline data workflows, allowing data professionals to focus on innovation rather than repetitive tasks.
Role Overview
We are looking for an SDET (Software Development Engineer in Test) with expertise in Python, automation, data, and AI to help ensure the reliability, performance, and scalability of our AI-powered data solutions. You will work closely with engineering and data science teams to develop test automation frameworks, validate complex AI-driven data pipelines, and integrate testing into CI/CD workflows.
Key Responsibilities
✅ Develop and maintain automation frameworks for testing AI-driven data applications
✅ Design, implement, and execute automated test strategies for data pipelines and infrastructure
✅ Validate AI-driven insights and data transformations to ensure accuracy and reliability
✅ Integrate automated tests into CI/CD pipelines for continuous testing and deployment
✅ Collaborate with engineering and data science teams to improve software quality
✅ Identify performance bottlenecks and optimize automated testing approaches
✅ Ensure data integrity and compliance with industry best practices
Required Skills & Experience
? Strong Python programming skills with experience in test automation (PyTest, Selenium, or similar frameworks)
? Hands-on experience with data testing – validating ETL pipelines, SQL queries, and AI-generated outputs
? Proficiency in modern data stacks (SQL, Snowflake, dbt, Spark, Kafka, etc.)
? Experience with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI
? Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
? Excellent problem-solving and analytical skills
? Strong communication skills to work effectively with cross-functional teams
Nice-to-Have (Bonus Points)
⭐ Prior experience in a fast-paced startup environment
⭐ Knowledge of machine learning model validation and AI-driven testing approaches
⭐ Experience with performance testing and security testing for AI applications
Why Join Altimate AI?
? Cutting-Edge AI & Automation – Work with next-gen AI-driven data automation technologies
? High-Impact Role – Be part of an early-stage, fast-growing startup shaping the future of enterprise AI
? Competitive Salary + Equity – Own a meaningful stake in a company with massive potential
? Collaborative Culture – Work with top-tier engineers, AI researchers, and data experts
⚡ Opportunity for Growth – Play a key role in scaling AI-powered data operations
HSV Digital is a B2B technology company with a 100% focus on enterprise technology firms, which includes technology providers, consultants, system integrators, managed service providers, telcos and all the other type of companies powering this ecosystem. We have worked with extensively with some of the world’s leading brands such as Microsoft, IBM, Redington, Eka Software, and Applied Information Science, helping them develop product and service messaging, build assets to communicate their stories across platforms, deliver digital campaigns, and activate channel go-to-market efforts.
As a member of the team, your major role would be to:
- 60-70% - Research, ideate and develop strategic marketing collaterals for high-profile B2B IT clients, including solution sheets, social media ads, offers, emails, infographics, landing pages and white papers.
- 10-20% - Work closely with different stakeholders to track and manage marketing programs across channels
- 10% - Research the client, their key buyer persona and customer journey & pain points.
- 10% - Attend client pitch meetings and develop custom proposals for them to support BD efforts.


Job Description
We're a fast growing fintech startup based in Pune. In June 2019, we launched, an app to check and monitor credit scores. It is the only app in India that helps consumers improve their credit score via an AI-based score planner.
WE are on a mission to re-imagine credit and payments from first principles and is building a mobile-first credit card in India.
- Roles & Responsibilities:-
Strong proficiency in JavaScript.
Thorough understanding of React.js and its core principles.
Experience with popular React.js workflows (such as Flux or Redux)
Familiarity with newer specifications of Ecma Script.
Familiarity with RESTful APIs.
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 Babel, Webpack, NPM, etc.
Ability to understand business requirements and translate them into technical requirements.
A knack for benchmarking and optimization.
Our client is India's leading digital care ecosystem for chronic condition management. They are a one stop shop catering to all needs from tracking fitness levels to managing diet, to consultation with doctors and health coaches. They combine real-time monitoring through their IoT-connected devices and app ecosystem to provide AI-driven personalized insights and proactive intervention by doctors and health coaches to patients with chronic conditions.
This revolutionary startup was named in Forbes Asia’s inaugural ‘100 to watch and is backed by renowned investors. They are backed by some of the best VCs and investors in India, and with their most recent fund-raise of $5.7 million, they are on track to expand beyond India into ASEAN countries as the first stage of their global expansion.
As a Financial Controller, you will be responsible for all aspects of financial management, including corporate accounting, regulatory and financial reporting, budget and forecasts preparation, as well as development of internal control policies and procedures
What you will do:
- Managing all accounting operations including Billing, Reconciliation, Revenue Recognition, Cost Accounting, Inventory Accounting, AR and AP etc.
- Managing accounting and financial systems including accounting software Tally
- Coordinating and directing the preparation of the budget and financial forecasts and report variances
- Supporting month-end and year-end closing process
- Streamlining accounting functions and operations
- Developing plans for financial growth
- Reporting to the CFO
- Ensuring quality control over financial transactions and financial reporting
What you need to have:
- 6 to 8 years of relevant experience in a Health Tech / Digital Health / E-commerce startup
- CA degree
- Must be confident communicator, self-starter, and having the ability to get things done
- Must have an analytical bent of mind, able to take data and make reports, draw out trends
- Strong knowledge in preparation of financial projections
- Strong knowledge related to Books-Close, Controllership, Analytics, Financials’ preparation etc. under a Tally environment
- Should be currently based out of Delhi/ NCR




DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

