Category Manager

About HighLevel:

HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have 1000+ employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/

YouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g

Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/

Our Customers:

HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 450K million businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.

Scale at HighLevel:

Work with scale, our infrastructure handles around 30 Billion+ API hits, 20 Billion+ message events, and more than 200 TeraBytes of data

About the role:

We are seeking an experienced Engineering Manager to lead our Generative AI teams. You will inspire and manage a team of engineers, driving performance and innovation. Your role will include developing robust AI-driven products and overseeing strategic project management.

Team-Specific Focus Areas:

Conversations AI

-Develop AI solutions for appointment booking, forms filling, sales, and intent recognition

-Ensure seamless integration and interaction with users through natural language processing and understanding

Workflows AI

-Create and optimize AI-powered workflows to automate and streamline business processes

Voice AI

-Focus on VOIP technology with an emphasis on low latency and high-quality voice interactions

-Fine-tune voice models for clarity, accuracy, and naturalness in various applications

Support AI

-Integrate AI solutions with FreshDesk and ClickUp to enhance customer support and ticketing systems

-Develop tools for automated response generation, issue resolution, and workflow management

Platform AI

-Oversee AI training, billing, content generation, funnels, image processing, and model evaluations

-Ensure scalable and efficient AI models that meet diverse platform needs and user demands

Requirements:

• Expertise with large scale Conversation Agents along with Response Evaluations
• Extensive hands-on experience with Node.Js and Vue.js (or React/Angular)
• Experience with scaling the services to at least 200k+ MAUs
• Bachelor's degree or equivalent experience in Engineering or related field of study
• 5+ years of engineering experience with 1+ years of management experience
• Strong people, communication, and problem-solving skills

Responsibilities:

• Mentor and coach individuals on the team
• Perform evaluations and give feedback to help them progress
• Planning for fast and flexible delivery by breaking down into milestones
• Increase efficiency by patterns, frameworks and processes
• Improving product and engineering quality
• Help drive product strategy
• Design and plan open-ended architecture that are flexible for evolving business needs

EEO Statement:

At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

SR Accounts Receivable:

1 - Processing accounting receivables and incoming payments in compliance with financial policies and procedures

2 - Performing day to day financial transactions, including verifying, classifying, computing, posting and recording accounts receivables' data

3 - Preparing bills receivable, invoices and bank deposits

4 - Presenting Receivable MIS to the stakeholder’s

5 - Evaluating Receivable MIS & action course for recovery

6 - Clearing B2B Primary/Secondary/Tertiary claims on regular intervals

7 - Approving Invoices of all B2B Customers on regular basis

8 - Reconciling Customer accounts every month

Must haves -

1.Creating MIS

2.Reports

3.Advanced excel

Note : Looking from FMCG companies

About Us

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.

The Opportunity

If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms;

You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.

If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!

What you’ll do day to day as a Lead ML Engineer

• If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms.
• You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.
• You will work on architecting the ML pipelines and deploy them at scale 
• You will optimize ML solutions for performance, scale and reliability
• You will work with large data sets and build an ML pipeline to process and train the data
• You will run ML experiments scientifically and analyzes the results
• You will work with the team in building exciting stuff and guide juniors in the process
• You will deploy solutions into production and maintain several models for fast experiments
• You will simply, own a module end-to-end and show us your data skills
• you will keep up-to-date with latest ML and deep learning literature to implement latest techniques into Observe.AI Voice & Speech platform.
• If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!

What you’ll bring to the role

• Graduate/Post Graduate degree in Computer Science/Electrical Engineering from leading research institutes.
• Strong working experience in building Speech technologies like ASR, TTS, Diarization, and Speech signals
• Hands-on experience in building end-to-end models using the latest architectures.
• 6+ years of commercial experience in ML solutions and pipelines
• 6+ years of programming experience in Python, Shell scripting, and C/Java
• Hands-on experience in speech processing frameworks such as Kaldi, Espnet, Speech brain, etc.
• Experience with Machine learning and Deep learning libraries such as Scikit Learn, TensorFlow, or PyTorch

Some of the other coolest things you deliver

• A world-class Speech technology that has an impact on Customers and the research community
• Publish papers in International Speech and NLP conferences like Interspeech / Icassp / NIPS/ ASRU etc.
• Inter team coordination for research initiatives.

About the ML Team

We are a strong 25-member Machine Learning team with a focus on Speech, NLP, and Data platforms. Our main research focus is to drive the contact centers using AI which leads to improving operational efficiency, customer experience, and compliance. Our Machine Learning team pushes the boundaries in understanding the nuances in the conversation AI by processing millions of calls per day and empowering the call centers to improve efficiency.

The Speech team focuses on Speech Recognition, Speaker Diarization, and Speech Signals to understand the nuances in the behavior of the agents. The ML team is at the forefront of publishing our research in international conferences such as Interspeech, Icassp, ICML, and EMNLP AACL, and we encourage our research in the same.

Apart from work, the team loves to collaborate on research initiatives, present the initiatives/findings in internal/external tech conferences, participate in hackathons, and have formal/informal gatherings.

Compensation, Benefits and Perks

Excellent medical insurance options and free online doctor consultations

Yearly privilege and sick leaves as per Karnataka S&E Act

Generous holidays (National and Festive) recognition and parental leave policies

Learning & Development fund to support your continuous learning journey and professional development

Fun events to build culture across the organization

Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

1. Urgent Opening for Corporate Gifting Executive Profile

   Location: Navi Mumbai

   Job Description:

   • Coordinating between clients & warehouses/respective teams to ensure smooth delivery of customised gifting orders - personal or corporate.
   • Plan for and manage inventory across all channels - e-commerce, retail & third party portals.
   • Work on gifting catalogue, client leads and end to end customer servicing
   • Showcases leadership qualities, is focused, self motivated & punctual.
   • Displays ownership and fulfils projects within timelines
   • Locate new vendors and have innovative ideas for gifting
   • Work in tandem with all teams within the organisation to ensure smooth functioning of the requirements
   • Work on multiple projects at once and is able to meet set deadlines.
   • Willing to travel to store locations within and even outside the city if required to set up gifting items at retail stores and participate in visual merchandising.

About the role: One key differentiator of FabHotels brand for our asset partners is bestin-class returns. While our online & offline demand teams drive higher occupancies for our partners, this role entails ownership of developing and work on react native side of application development.

Key responsibilities:

• Knows how to embed React-Native in a native (iOS/Android) component and vice versa.
• Firm grasp on JS/CSS fundamentals
• Build pixel-perfect, battery smooth UIs ((layouts, animations, etc.))across both mobile platforms
• Good understanding of Design and Architecture Patterns
• Strong focus on app performance
• Familiarity with native build tools, like XCode, Grade (Android Studio, IntelliJ)
• Good in debugging
• Experience in iOS app development is preferable.

Individuals who would connect best with the job requirements are those who:

• Are excited to be part of a young, dynamic team that is building a disruptive, sustainable business
• Are willing to go the extra 100 miles it takes to win in a super competitive market
• Are innovative, resourceful and comfortable with dynamic business requirements
• Fulfil below minimum criteria:

- 1+ years experience in React-Native based app development  

- 1-2 years experience in Mobile app development(React-Native + iOS).         

- Hands on experience in Redux