Sales Representative at Pentoz Technology · Remote only · 1 - 3 years · ₹2.5L - ₹5.5L / yr · Raised funding · Remote only · Posted 10 Jul 2023
PENTOZ is a leading business innovation firm for new business ideas. More than 2500+ people world wild are ready forging their own path to success. We offer opportunities, the support of a corporation that is family owned, that is financially stable and has been in business for over 6 year. PENTOZ is a global community, operating in more than 100 countries and territories, ready to offer support and a compensation plan that has paid out more bonuses than any other direct selling company.
Roles and responsibilities:
· Actively seek out new sales opportunities throught cold calling, networking and social media.
· Set up meeting with a potential client and listen to their wisher and concerns.
· Prepare and deliver appropriate presentations on services.
· Create frequent reviews and report with sales and financial data.
· Negotiate\Close deals and handle complains or objections and Collaborate with team members to achieve better results.
· Gather feedback from customers or prospects and share it with internals team.
· The main focus will be selling technology services and Negotiating and closing multiple sales deals to achieve high revenue.
· Ability to approach and engage potential customers with excellent interpersonal skills by submitting monthly and annual territory analyses, daily call reports, weekly work plans, and monthly and annual performance reports, you keep management updated.
· Retaining position relationship with clients so that future sales will be assured, Focuses on maximizing sales by studying potential and existing dealer volumes.
· Conduct virtual meet-ups to build new business relationships.
· Increase your productivity by integrating the appropriate technologies into your sales activities.
Sales Representative Qualifications/Skills
· Customer service
· Meeting sales goals
· Closing skills
· Territory management
· Prospecting skills
· Negotiation
· Self-confidence
· service knowledge
· Presentation skills
· Client relationships
· Motivation for sales
Education, Experience, and Licensing Requirements:
· 12+ and any degree University degree with a concentration in marketing, promotions, advertising sales, or business administration preferred.
· One to three years of IT Service based sales experience.
Our Company motivation:
“IF OPPORTUNITY DOESN’T KNOCK, BUILD A DOOR.”
Shubham Vishwakarma
Full Stack Developer - Averlon
About Pentoz Technology
About
Company social profiles
Similar jobs (10)
Skills & Experience
● Minimum 8 years of experience in sourcing and managing HNI clients in wealth management or related financial services.
● Strong understanding of Equity and Debt Capital Markets, mutual funds, insurance, and structured investment solutions.
● Familiarity with global markets and international investment products will be an added advantage.
● High level of comfort with technology platforms, digital tools, CRM systems, and AI-assisted advisory workflows.
● Excellent communication, presentation, negotiation, and relationship management skills with strong proficiency in English
Python
NodeJS (Node.js)
Amazon Web Services (AWS)Role overview
The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.
We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.
This is not a CRUD‑only backend role.
You will work on:
- long‑running jobs
- distributed processing
- GPU inference orchestration
- storage for embeddings and metadata
- integration with AI models
- reliability and observability at scale
Key responsibilities
Media ingestion & processing pipelines
- Design and implement ingestion pipelines for multi‑hour video and audio content.
- Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
- Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
- Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.
API & platform architecture
- Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
- Define clear contracts for internal services and external integrations.
- Implement authentication, authorisation and rate‑limiting for platform endpoints.
- Ensure backward‑compatible API evolution as the product matures.
Model‑serving & AI integration
- Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
- Design request/response flows that handle large payloads, streaming outputs and structured results.
- Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
- Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.
Storage, data models & performance
- Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
- Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
- Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
- Optimise performance for large datasets and high‑volume workloads.
Reliability, observability & operations
- Implement logging, metrics and tracing across services for debugging and monitoring.
- Set up health checks, circuit breakers and graceful degradation for critical services.
- Work with CI/CD pipelines to ensure safe, repeatable deployments.
- Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.
Requirements (must‑have)
Experience:
- 4–8 years in backend or platform engineering.
- At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).
Languages & frameworks:
- Strong proficiency in Python or Node.js (one primary, both are a plus).
- Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).
Distributed systems & pipelines:
- Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
- Experience building asynchronous, long‑running job pipelines.
- Understanding of idempotency, retries, backoff, and failure handling.
APIs & integration:
- Strong experience designing and implementing REST APIs (gRPC is a plus).
- Experience integrating with external services and handling network‑level failures.
Cloud & infrastructure:
- Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
- Experience with Docker; exposure to Kubernetes is a strong plus.
Data & storage:
- Experience with SQL and at least one NoSQL store.
- Ability to design schemas and data models for performance and maintainability.
Engineering quality:
- Strong debugging skills across services and environments.
- Experience with unit/integration tests for backend systems.
- Clear, structured communication in English.
Nice‑to‑have
- Experience with media/video processing (FFmpeg, transcoding, segmenting).
- Experience with AI/ML model integration (serving models, handling inference requests).
- Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
- Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
- Experience working with remote teams across time zones.
What we are explicitly NOT looking for
To reduce noise and mismatches, we are not looking for:
- Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
- Engineers who have only worked on small, single‑service apps without scale or complexity.
- Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
- Candidates who are uncomfortable with ownership of subsystems end‑to‑end.
Why join us
- Work on real, complex problems at the intersection of media, AI and distributed systems.
- Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
- Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
- Operate with high ownership, clear expectations and direct access to the CTO.
NodeJS (Node.js)Python
MongoDBAmazon Web Services (AWS)Role & Responsibilities
- work with peers in Product, QA, and other Engineering departments;
- coach and mentor team members;
- cautiously drive adoption of new technologies and processes;
- preserve our engineering values of quality, scalability, and maintainability;
- “see around corners” — identify blind spots and prioritize work across teams;
- work with international teams to ensure successful product development and delivery; and
- own the overall architecture and systems engineering for your products.
Ideal Candidate
- exceptional communication and organizational skills;
- experience recruiting for and building software engineering teams;
- the ability to inspire and motivate team members;
- a strong technical background in software engineering and architecture, and experience with modern programming languages and frameworks;
- 6+ years of software development experience; and
- 4+ years of experience managing software teams (as a Team Lead or a Manager) or similar experience as an individual contributor.
AngularJS (1.x)
Angular (2+)
React.jsNodeJS (Node.js)MongoDBJD:
- 12 + Yrs of total experience along with knowledge and hands-on experience in MERN (Mongo db, Express js, React js and Node js) stack.
- Experience to unblocking and helping technical teams.
- Experience in application architecture design and development
- Expertise in designing scalable applications.
- Experience in working on deployments, cloud infra and CI/CD.
- Full stack development experience
- Hands on experience in MERN stack.
NodeJS (Node.js)React.jsMongoDBClipboard Health - an alumnus of Y combinator is an online marketplace offering no-commitment staffing for healthcare facilities and on-demand shifts for healthcare professionals. Clipboard Health works with healthcare facilities such as hospitals, assisted living facilities, and rehab centers to provide on-demand nursing staff. Their mission is to enable healthcare professionals to work when they want, and where they want, and to enable healthcare facilities to get staff when they need it.
Tech stack: MERN (MongoDB, Express, React.js and Node.js)
- 4+ years experience in MERN stack
- Good communication skills
- Ability to work independently with minimum supervision.
- Excellent organization and problem-solving skills
- Hands-on experience in software development and agile methodologies
- Proven analytical and problem-solving capabilities
Responsibilities:
- Contribute at a senior level to the development process
- Own the product engineering lifecycle with the team
- Mentor team members at technical as well as career development level
- Manage developer allocations on tasks to best utilize time and resources
- Work with Product Managers and the team to ensure that commitments are met
- Contribute to the design and architecture of products
What will make you a great fit:
- Startup experience
- Worked on products from scratch and built them to scale
- Proactive instead of reactive
Note:- This is a Remote Job. Apply only if you are willing to work with over lapping US time zones.
React.js
Javascript
Redux/Flux
HTML/CSS
NextJs (Next.js)React + Next.js + Microfrontend, strong communication skills, and the ability to work independently.
Skillset required: Javascript, React.js, Good CSS and Designing, React Native, Unit testing, Next.js, Microfrontend, HTML, Redux
Additional Technical requirements: SSR, (GitHub Actions, GitHub/bitbucket/Git, GitLab CI/CD); JavaScript, TypeScript, Linting), Competitive Coding Experience (good to have)
Freelance Job HTML/CSS HTML5 React JavaScript Redux Next.Js
Tentative start date of the project: 2/1/2023 for about 2 months or more
Full allocation - 8 hrs a day * 20 days per month
Timezone: IST overlap with US timezone 8-11 PM IST
PHP
Bootstrapshould have basic knowledge of UI/U, PHP , MYSQL, CSS, BOOTSTRAP
React.jsJavascriptHTML/CSS
React NativeRedux/FluxWe are looking for a Developers who can create crafted web and mobile applications from UI using the React library. Your primary responsibility will be the implementation of visual elements and their behaviors with user interactions and ensure technical feasibility of UI/UX designs.. You will be defining how the application looks and functions by working with both the front-end and back-end developers.
1.A developer who is proficient with ReactJS (Redux or Flex)
2.Strong hands on the backend with nodeJS and has experience in developing robust web application with javascript
3.Should have basic understanding of AWS, various Databases and able to write simple api with express
4.Familiar with concepts like Isomorphic web apps , state management, push state, local storage, and promises
5.Sufficient knowledge on git, test driven development and browser debugging
SKILLS
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Experience with popular React.js workflows (such as Flux or Redux)
- Experience with data structure libraries (e.g., Immutable.js)
- 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
- Familiarity with code versioning tools such as Git, SVN, and Mercurial
- Educational qualifications of B.E. or M.E. equivalent degrees in Computer Science will be preferred
We're looking for a passionate and data-driven person to own the SEO & SEM section of the marketing funnel for Beagle Security. You'll be in charge of all online acquisition marketing, managing the strategy, execution, and optimization across SEO & SEM with a strong focus on generating ROI.
Beagle Security is a SaaS-based web application penetration testing tool that helps companies identify vulnerabilities on their website & APIs before hackers exploit them. Currently used by 1500+ customers across 90+ countries to improve their website security.
Key Responsibilities
- Plan, implement and manage our SEO strategy
- Drive keyword strategy, discovery and expansion of keyword opportunities and link building initiatives
- Work with development team to ensure SEO best practices are properly implemented
- Track, report and analyze website analytics, pay-per-click (PPC) initiatives and campaigns
- Optimize copy and landing pages for paid marketing campaigns
- Collaborate with the marketing team to integrate and complement marketing strategies across multiple channels
- Proven results in SEO/SEM or similar role (Prior experience working in SaaS is a plus)
- Well-versed in performance marketing, conversion and customer acquisition
- Ability to analyze data and provide recommendations to improve our SEO/SEM performance
- Experience working with SEO, SEM and website analytics tools
- Familiar with A/B testing and running growth experiments
- Up to date with the latest SEO/SEM trends and best practices
- Critical thinker and problem-solving skills
- Ability to work independently with minimal supervision and comfortable working in a fast-paced environment
Machine Learning (ML)
Data Science
Deep Learningalong with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon