sales

Job Title : Red Hat PAM Developer

Experience Required :

• Relevant Experience : 4+ Years
• Total Experience : Up to 8 Years

No. of Positions : 4

Work Locations : Hyderabad / Bangalore / Mumbai / Pune / Gurgaon / Chennai

Work Mode : Hybrid

Work Timings : 1:00 PM to 10:00 PM IST

Interview Mode : Virtual

Interview Rounds : 2

Mandatory Skills :

• Excellent communication skills – must be comfortable in client-facing roles
• Red Hat Process Automation Manager (PAM)
• JBPM (Java Business Process Management)
• BPMN 2.0 (Business Process Model and Notation) – low-code platform
• DMN (Decision Model and Notation) – business processes and rules
• Spring Boot
• JavaScript

Good-to-Have Skills :

• Red Hat Fuse
• Apache Kafka
• Apache Camel

Job Title: Sales Manager

Location: Koramangala 5th Block, Bangalore

Company: Palis Decor

Job Type: Full-Time

Working Hours: 12-hour shifts

Week Off: Rotational

Salary: ₹30,000 per month + Incentives (based on achieving a ₹15 lakh target)

Probation Period: 6 months

Notice Period: 1 month

Performance Observation Period: 2 months (termination possible if targets are not met)

Document Submission: Original documents to be submitted to the company upon joining

Job Overview

Palis Decor, a leading brand in the decor industry, is looking for a motivated and performance-oriented Sales Manager to oversee our retail store operations at Koramangala 5th Block, Bangalore. This is an excellent opportunity for an individual with strong sales skills, a proven track record in team leadership, and a passion for delivering outstanding results.

Key Responsibilities

1. Sales Management

• Achieve or exceed the store’s monthly sales target of ₹15 lakh.
• Drive revenue growth through innovative sales strategies and customer engagement.

1. Team Leadership

• Lead, manage, and motivate the sales team to meet individual and collective goals.
• Provide training, coaching, and guidance to enhance team performance.

1. Customer Relationship Management

• Build strong relationships with customers to drive repeat business and loyalty.
• Ensure a high standard of customer satisfaction through exceptional service.

1. Inventory & Store Operations

• Monitor inventory levels and coordinate stock replenishment to maintain product availability.
• Ensure the store is well-maintained, organized, and visually appealing.

1. Sales Reporting

• Prepare and present sales reports to management, highlighting key achievements and improvement areas.

1. Market Research & Strategy

• Analyze market trends and competitor activity to identify new opportunities and refine sales strategies.

Qualifications & Skills

• Experience: Proven experience (3-5 years) in a sales management role, preferably in the retail or decor industry.
• Leadership: Strong team management and leadership skills to drive high performance.
• Communication: Excellent verbal and written communication skills in Kannada and English.
• Sales Expertise: Ability to handle pressure, meet deadlines, and deliver exceptional results.
• Technical Skills: Proficiency in sales management tools and software.
• Customer Focus: Strong interpersonal skills and a customer-first mindset.

Why Join Us?

• Opportunity to work with a well-known decor brand.
• Attractive incentives for achieving targets.
• Scope for professional growth and career advancement.

Job description

About Us-

At Vertical Fox, we’re building a modern SaaS platform that simplifies how companies manage employee benefits. As a product company, we obsess over getting the details right — especially when it comes to configuring complex insurance plans. Our clients count on us to make the confusing world of benefits… less confusing.

Key Responsibilities:

• Interpret and configure benefit plans, rate structures, and contribution strategies within our platform
• Analyze documents like SBCs, rate sheets, and benefit summaries with attention to financial implications
• Collaborate with software developers to test plan functionality and flag any issues or mismatches
• Help simulate edge cases and validate end-to-end user scenarios from a benefits perspective
• Assist Customer Success Managers in onboarding and maintaining client plan configurations
• Provide feedback to the product team based on actual client use cases and plan behaviours.

You’ll Excel If You:

• Are an MBA (Finance) graduate or have similar experience in financial analysis, insurance, or benefits
• Are detail-oriented and can spot a typo in a 20-page document without breaking a sweat
• Can think logically through how a benefits rule should behave in software
• Enjoy working in a team that includes both client-facing folks and developers
• Like the idea of combining structured work with some hands-on product exposure
• Want to build domain expertise in US insurance/benefits, finance-tech, or HR SaaS

Bonus Points If You:

• Have worked with US-based insurance or benefit plans
• Know your way around testing workflows or tools like Cypress or Postman
• Can handle a spreadsheet like a pro-Excel or Google Sheets or financial modelling tools
• Have experience in QA, even if basic, or have a curious mindset about how things break

• Responsible for creation and maintenance of website pages.
• Creating new WebPages based on all information provided by the stakeholder.
• Creating new pages within the CMS from a template, or by adding components to a page.
• Working on the existing website by setting up new pages and uploading content within the content management system (CMS).
• Uploading content (text, images carousels, videos, and animations etc) to the existing website.
• Adding Meta data and descriptions to website.
• Populating new pages with content.
• Maintenance of content on the websites, primarily through building, replacing, and uploading content in the CMS.
• Migrating content from existing media libraries into the new DAM -Digital Asset Management and tagging images.
• Adding metadata to the assets uploaded to the DAM.
• Replacing or editing content to keep up-to-date.
• Quality assuring content before upload e.g. checking file weight sizes, and file formats are correct.
• Focus on the quality and accuracy of the material displayed on the website.
• Ensuring all site content is appropriately tagged and searchable.
• Collaborating with stakeholder and approvers to ensure content is published on time and the pages meet the experience and best practice definitions for our site.
• Maintaining documentation and guidance on content processes and keep this up-to-date at all times.

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.