Deputy Manager - Sales & Application Engineering

The Store Manager is responsible for overseeing daily operations of the apparel store, ensuring excellent customer service and sales performance. They manage staff, maintain inventory levels, and ensure visual merchandising aligns with brand standards. The role includes analyzing sales data and implementing strategies to meet targets. Strong leadership and communication skills are essential. Experience in fashion retail is preferred.

Total Experience: 1+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): JavaScript/Node.js/Python, Web Crawling (Puppeteer/Playwright), Strong knowledge of web technologies

Desired Skills (Good if you have): HTML, Distributed Systems, Data pipelines, Proxy Management, Anti-bot Techniques

Job Responsibilities

• Design scalable web crawling solutions using modern technologies like Puppeteer and Playwright.
• Develop optimal and cost-effective methods for efficiently crawling diverse websites at scale.
• Implement robust proxy management and sophisticated anti-bot techniques.
• Create comprehensive debugging and monitoring systems for crawler performance.
• Actively contribute to technical discussions and architectural decision-making processes.

Job Requirements

• Experience in end-to-end management of large-scale distributed web crawling.
• Deep understanding of website internal mechanics, enabling innovative data extraction strategies.
• Expert-level proficiency in JavaScript/Node.js, web technologies, and anti-bot measures.
• Demonstrated ability to understand, adapt, and extend current system architectures. 
• Strong collaborative skills with the ability to work effectively within existing technical frameworks.

Preferred Qualifications

• Advanced system optimization skills.
• Proven experience with cloud platforms, databases, and distributed systems.
• Comprehensive knowledge of data pipelines and data warehousing concepts.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem.

We are a team of 600+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each owning one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team compared to an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

  Excellent communication and interpersonal skills

   Ability to multitask, prioritize, and manage time effectively

   Strong analytical and problem-solving skills

   Understanding of sales performance metrics

   Experience in the telecommunications industry is a plus

   Proficient in MS Office

   Utilize your extensive network and contacts in acquisition to drive sales and achieve revenue targets.

   Should be flexible to do market visits any areas in Bangalore.

   Upselling/Cross selling/pitching of new products/Product penetration

   Take ownership of promoting the brand and products in the market.

   Utilise your extensive network and contacts in acquisition to drive sales and achieve revenue targets.

We are product development & technology consulting studio.


1.) Love for technology & technology trends is first & foremost requirement
2.) We are looking for a data-driven inbound + outbound marketer to own the majority of the marketing funnel for our company. You will be in charge of attracting right target traffic, niche specific, converting that traffic into new leads for the business, and nurturing those leads to close into customers, the latter of which sales leadership will help you accomplish.
3.) “LinkedIn”, “Facebook” or B2B channels to bring on demand generation with right strategy & full automation to scale

4.) Creating, managing, and executing multi-channel marketing campaigns leveraging SEO, PPC, social, inbound marketing, email, campaigns and events to drive customer acquisition in B2B space


Experienced Digital Marketing Specialist with a demonstrated history of working in the information technology and services industry. Skilled in Search Engine Optimization (SEO), Microsoft Excel, Social Media Optimization (SMO), Microsoft Office, and Research. 

• You have experience with two or more development languages preferably Java or Python and React, etc 
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Job Location: Indore | Full-Time Internship  | Stipend - Performance Based  | 

About the company:

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand.  KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4

Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
• Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
• Proven problem solving and debugging skills.
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
• Experience with text analytics, data mining and social media analytics.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.