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HighLevel

Engineering Manager (Data Science)

Sorry, this job was removed at 09:47 p.m. (IST) on Thursday, Mar 27, 2025
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Hiring Remotely in Delhi, Connaught Place, New Delhi, Delhi
In-Office or Remote
Hiring Remotely in Delhi, Connaught Place, New Delhi, Delhi

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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:

We work at scale; our infrastructure handles around 30 Billion+ API hits & 2 Billion+ message events monthly and over 25M views of customer pages daily. We also handle over 200 Terabytes of data across 5 Databases.


About the Role

We are looking for a strategic and visionary Engineering Manager of AI to lead our cutting-edge Generative AI initiatives. In this role, you will oversee multiple AI teams, drive innovation, and ensure alignment with business goals. You will focus on building robust AI solutions and scaling AI-driven products to meet diverse customer and business needs, all while maintaining a strong emphasis on people management and team development.


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


Roles & Responsibilities

People Leadership and Team Development

-Mentor and coach senior engineers, fostering a culture of learning and growth

-Lead performance evaluations and provide constructive feedback to ensure career development

-Build and maintain a resilient, high-performing team capable of delivering AI innovations at scale


Execution & Strategic Delivery

-Lead long-term project planning and execution strategies, setting clear milestones and deliverables

-Drive process improvement by implementing efficient patterns, frameworks, and systems

-Ensure teams are set up for high performance and fast-paced, flexible delivery


Product and Technology Oversight

-Oversee the development and scaling of AI-driven products, maintaining high engineering and product quality

-Drive innovation in AI, ensuring that the solutions meet evolving business and customer needs


Business Alignment and Vision

-Collaborate with cross-functional teams to define product strategy and business goals for AI technologies

-Design open, flexible architectures that anticipate future business needs and scalability challenges


Qualifications

-Proven experience in leading large-scale AI-driven projects and teams

-Expertise in large-scale conversational agents and response evaluation frameworks

-Deep understanding of retrieval-augmented generation (RAG), including knowledge graphs, chunking, and reranking strategies

-Bachelor’s degree or equivalent in Engineering, Computer Science, or a related field

-7+ years of engineering experience, with at least 2+ years in leadership or management roles

-Strong leadership, communication, and problem-solving skills

EEO Statement: 

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.


#LI-Remote #LI-RS1

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