Adobe IllustratorCreative & Art Direction
- Define and drive the visual style, tone, and overall artistic direction across projects.
- Develop moodboards, style references, and design treatments aligned with brand identity and campaign objectives.
- Collaborate with creative directors, producers, and directors to bring storyboards and visual concepts to life.
- Oversee set design, props, styling, and visual aesthetics for all production outputs.
- Ensure consistency in visual tone and quality across multiple projects and formats.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Windowseat Agency
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About MyOperator
MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform.
Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform.
Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.
Role Overview
The AVP – Engineering & Technology will own the entire technology ecosystem of the company end-to-end. This role is responsible for product architecture, engineering execution, AI strategy, platform scalability, security, and technical excellence across all products and services.
This is a hands-on leadership role with complete accountability—from product vision to production reliability. You will act as the technical custodian of the company, working closely with the CEO, Product, Business, and Customers.
This role is ideal for entrepreneurial leaders, ex-founders, or senior technologists who have built and scaled products and teams.
Key Responsibilities
Technology & Product Ownership
● Own end-to-end product engineering for all SaaS platforms and AI solutions
● Define and drive technical vision, architecture, and long-term scalability ● Ensure high availability, performance, security, and reliability of platforms
● Translate business vision into robust, scalable technical systems
AI & Innovation Leadership
● Lead the AI roadmap including LLM-based agents, automation, and intelligence layers
● Drive build vs buy decisions for AI, infra, and tools
● Ensure responsible, secure, and cost-effective AI adoption
● Continuously evaluate emerging technologies for competitive advantage Engineering Execution & Delivery
● Build, mentor, and scale high-performing engineering teams
● Set engineering standards for code quality, DevOps, testing, and deployment
● Own delivery timelines, tech debt management, and release governance
● Establish strong engineering culture, accountability, and ownership
Stakeholder & Business Alignment
● Partner closely with CEO, Product, Sales, and Customer Success
● Support enterprise deals with technical confidence and credibility
● Act as the final escalation point for all technical risks and decisions ● Present technology strategy and progress to leadership and board
What We’re Looking For
Experience & Background
● 10+ years of experience in software engineering and architecture
● Proven experience leading large-scale SaaS platforms
● Strong exposure to AI/ML, LLMs, APIs, cloud-native architectures ● Experience owning products from 0 → 1 or 1 → scale
● Prior experience as Founder, Co-founder, CTO, VP Engineering is a strong plus
Leadership & Mindset
● Entrepreneurial mindset with ownership mentality
● Ability to think business-first, not just tech-first
● Comfortable operating in ambiguity and fast-paced environments ● Strong decision-maker with bias toward action
● Deep sense of accountability and execution excellence
Why Join Us
● Direct reporting to the CEO with real decision-making power
● Opportunity to shape the technical DNA of a growing AI company
● Build AI agents and SaaS products at scale
● Potential for long-term leadership growth and wealth creation
● High-impact role with visibility across the organization
Angular (2+)
AngularJS (1.x)
HTML/CSSKey Responsibilities:
- Build and maintain Single Page Applications (SPAs) using Angular.
- Design and implement CRUD functionalities and modular components.
- Develop responsive, user-friendly interfaces using CSS and frameworks like Bootstrap.
- Optimize web application performance and address validation, error management, and edge cases.
- Collaborate with cross-functional teams to ensure seamless integration of UI/UX designs.
Job Description:
- Basic Qualifications Proficiency in Angular (AngularJS or Angular 2+).
- Strong skills in JavaScript, TypeScript, HTML5, and CSS3.
- Experience in building modular frontend architectures and reusable components.
- Familiarity with Angular features such as routing, directives, and services.
- Knowledge of responsive design principles and CSS frameworks like Bootstrap.
- Strong debugging and problem-solving skills.
Preferred Qualifications:
- 2+ years of professional experience in frontend development.
- Proven experience in building CRUD-based applications.
- Exposure to fintech or customer-facing domains is a plus.
- Experience with custom directives, Angular Pipes, or other frontend frameworks/libraries
React.js
Javascript
Redux/Flux· 7+ years of professional experience in front-end development.
· 5+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.)
· Strong understanding of JavaScript (ES6+), HTML5, and CSS3.
· Experience with RESTful APIs, GraphQL, and WebSocket integration.
· Proficiency in modern build tools (Webpack, Vite, Babel, etc.).
· Expertise in state management libraries (Redux, MobX) and React Query.
· Solid understanding of UI/UX principles and responsive design.
· Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).
· Familiarity with modern CI/CD pipelines and version control tools (Git).
Python
Django
Flask- Experience in HTML, CSS and Bootstrap library is required.
- Experience in Python Programming. Experience in Pandas and Numpy Libraries.
- Experience with Django Framework & REST API.
- Experience Flask, Microservices
- Experience in FAST API would be added advantage.
- Exposure in converting ML models to Microservices and exposing them as API
- GRPC development
Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Headquartered in San Francisco, CA our client is an online marketplace that offers high quality sustainable fashion at altogether low prices. It is a pioneer in the manufacturer to consumer (M2C) retail model where factories produce inventory on demand and ship directly to the customers, thereby eliminating environmental and financial wastages.
The company has raised $14.5 MM in seed funding and partners with over 30 manufacturers around the world and is founded by seasoned entrepreneurs and technology leaders who come from institutions like IIT Bombay and Stanford GSB.
As a Assistant Controller - Finance, you will be responsible for assisting the Financial Controller in overall accounting and finance function. You will help in building scalable and reliable accounting processes and valuable financial reporting for operational, business analytics and planning purposes. This role is a critical and strategic role and instrumental to the company’s success.
What you will do:
- Managing daily accounting activities and finance operations and developing plans for driving efficiency and automation
- Owning the financial close process and all associated activity to deliver accurate and timely results reporting to management
- Helping in building the accounting team and our financial infrastructure to support the company throughout our high-growth journey
- Serving as the key point of contact with our external auditors to ensure accuracy and compliance with GAAP
- Evaluating financial performance of company by comparing and analysing actual result with budgets/ forecasts
- Playing a key role in driving towards IPO readiness including S-1 preparations
- Developing the team’s capabilities across the range of sub-functions: general ledger, tax, treasury, payroll, accounts payable, financial reporting, audit and legal
- Ensuring consistent implementation of corporate accounting principles and procedures in full compliance with US GAAP
- Developing, implementing and maintaining the internal systems and financial controls, ensuring compliance with all tax and corporate requirements and filings
- Understanding and documenting reporting needs, collaborating on operational issues, developing creative solutions and providing business guidance and insight through financial reporting
Desired Candidate Profile
What you need to have:- Good problem solving skills
- Success in combining technology, data science into best-in-class financial outcomes
- Ability to make high-judgement decisions at rapid pace amidst the frequent ambiguity that comes with charting a course of action with no precedent
- Attention to detail
Amazon Web Services (AWS)- Develop and Maintain IAC using Terraform and Ansible
- Draft design documents that translate requirements into code.
- Deal with challenges associated with scale.
- Assume responsibilities from technical design through technical client support.
- Manage expectations with internal stakeholders and context-switch in a fast paced environment.
- Thrive in an environment that uses Elasticsearch extensively.
- Keep abreast of technology and contribute to the engineering strategy.
- Champion best development practices and provide mentorship
An AWS Certified Engineer with strong skills in
- Terraform o Ansible
- *nix and shell scripting
- Elasticsearch
- Circle CI
- CloudFormation
- Python
- Packer
- Docker
- Prometheus and Grafana
- Challenges of scale
- Production support
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
Java-
Owns the end to end implementation of the assigned data processing components/product features i.e. design, development, dep
loyment, and testing of the data processing components and associated flows conforming to best coding practices -
Creation and optimization of data engineering pipelines for analytics projects.
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Support data and cloud transformation initiatives
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Contribute to our cloud strategy based on prior experience
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Independently work with all stakeholders across the organization to deliver enhanced functionalities
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Create and maintain automated ETL processes with a special focus on data flow, error recovery, and exception handling and reporting
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Gather and understand data requirements, work in the team to achieve high-quality data ingestion and build systems that can process the data, transform the data
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Be able to comprehend the application of database index and transactions
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Involve in the design and development of a Big Data predictive analytics SaaS-based customer data platform using object-oriented analysis
, design and programming skills, and design patterns -
Implement ETL workflows for data matching, data cleansing, data integration, and management
-
Maintain existing data pipelines, and develop new data pipeline using big data technologies
-
Responsible for leading the effort of continuously improving reliability, scalability, and stability of microservices and platform
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Full Stack Developer - Averlon