PVC Sales Manager

Strong Product Designer, with focus on B2C Products

Mandatory (Experience 1): Must have 5+ YOE in Product Design (both UI and UX) with atleast 2 year in B2C companies

Mandatory (Experience 2): Must have atleast 1 year experience building or working with highly scaled Design systems in a B2C company (non-negotiable)

Mandatory (Skills): Must have strong knowledge and experience of design with Ai tools(Figma Cloud, Chatgpt)

Mandatory (Portfolio): Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies

Mandatory (Company): B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns)

Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies

Mandatory (Note 1): CV must have portfolio link with at least 2 detailed case study

Mandatory (Note 2): This will be a complete IC role

Mandatory (Note 3): CTC is inclusive of 5%variable

Preferred

Preferred (Education): Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)

Preferred (Skills 1): Experience in subscription-based or marketplace products, CRO, and international market localization

Preferred (Skills 2): Exposure to AI-powered personalization and recommendation systems

Preferred Companies

Glance, Ola, Nykaa, Tata Cliq, Pepperfry, Bookmyshow, Pharmeasy, Purplle.com, Ketto, Dream11, Coindcx, Upstox, Zomato, PhonePe, Swiggy, Myntra, Razorpay, Flipkart

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Responsibilities:

• Educating customers about our business solutions.

• Presenting product to prospective clients.

• Negotiate agreements and keep records of sales and data.

• Closing customer contracts and generating new sales.

• Using automation tools to track progress and report goals.

• Analyzing consumer needs and developing innovative solutions.

• Remain in regular contact with your clients to understand and meet their needs.

Qualifications:

•Experience in the field of Saas
Strong interpersonal skills. Must be able to negotiate and problem-solve.

• Knowledge of current marketing and advertising trends and best practices.

• Strong leadership and decision-making skills.

• Demonstrable business acumen and a deep understanding of business sales processes.

• Proven experience as an Account Executive, or similar sales/customer service role

• Knowledge of market research, sales and negotiating principles

• Excellent communication/presentation skills and ability to build relationships

• Organizational and time-management skills

• Enthusiastic and passionate

Why should you join us?

We at Fieldproxy provide more than just a startup experience. Some of the perks you will be getting include:

1. Competitive Salary

2. Company paid Health Insurance

3. Friendly and supportive work culture

4. Other perks such as free snacks and an informal dress code

• Order Management Support (Req 3) 

Must have skills: 

Should have experience as End user in SCM 

Expertise in Supply Chain Management (SCM) Oracle preferred  

Experience in Order Management 

• 3 Point Role Definition 

• Data validating and entry 
• Return Material Authorization (RMA) processing 
• Create internal sales orders, requisitions, ship orders and receipts 
• Inventory variance resolution / reconciliation 
• Resolve shipping and billing issues 

• Systems Access Needed 

• Oracle 
• SalesForce 
• JIRA 

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward. 

Top Skills

•    You write high quality, maintainable, and robust code, often in Java or C++.

•    You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

•    You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

•    You solve problems at their root, stepping back to understand the broader context.

•    You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

•    You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

•    You recognize and use design patterns to solve business problems.

•    You understand how operating systems work, perform and scale.

•    You continually align your work with Amazon’s business objectives and seek to deliver business value.

•    You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

•    You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

•    You communicate clearly with your team and with other groups and listen effectively. 

Skills & Experience

•    Bachelors or Masters in Computer Science or relevant technical field.

•    Experience in software development and full product life-cycle.

•    Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

•    Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

•    Proficiency in SQL and data modeling.