Product manager

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Key Responsibilities

● Handle inbound and outbound customer calls, emails, and chat queries.

● Provide accurate information about products/services and resolve issues within defined SLAs.

● Escalate unresolved issues to the appropriate department and follow up until closure.

● Maintain detailed records of customer interactions in the CRM system.

● Coordinate with cross-functional teams to ensure seamless customer experience.

● Meet daily/weekly performance metrics including response time, resolution rate, and customer satisfaction scores.

● Adhere to company policies, shift schedules, and quality standards.

Required Skills & Qualifications

● 0–3 years of experience in customer support (freshers can apply).

● Excellent verbal and written communication skills in English and Hindi.

● Strong problem-solving and listening skills.

● Ability to handle high-pressure situations and maintain professionalism.

● Familiarity with CRM software and ticketing tools is a plus.

● Willingness to work in rotational shifts and week-offs.

Strong Technical Account Manager (Publisher Side) Profile

Mandatory (Experience 1) – Must have minimum 8+ years of total experience, including 5+ years as a Technical Account Manager / Publisher Operations professional in AdTech, Programmatic Advertising, or Digital Media

Mandatory (Experience 2) – Must have hands-on experience managing top publisher accounts or supply-side relationships; specifically publisher-side technical account handling

Mandatory (Experience 3) – Strong working knowledge of SSPs, programmatic ecosystem, ad-serving workflows, and ability to explain technical concepts clearly to non-technical stakeholders

Mandatory (Experience 4) – Proven experience in technical onboarding, integrations, troubleshooting, and providing technical assistance to publishers

Mandatory (Experience 5) – Demonstrated experience conducting live product demos, explaining features/benefits, and tailoring demos for publisher / stakeholders

Mandatory (Experience 6) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption

Mandatory (Company) – Must come from an AdTech, Programmatic, SSP, Publisher-side, or Digital Media Tech organisation dealing with supply partnerships / publisher ops

About the Role: We are a Y Combinator backed company (YC W21) and have closed our pre-series A round. Backed by experienced founders/CXOs/directors from renowned companies like WhatsApp, Lulu group, OYO, Netflix, Pepsico, Cleartax, InMobi etc. to add to our team.

In 2025, Businessonbot has grown 20% MoM, March'25, MRR and inched towards profitability in Q1 of FY 2025. We target a massive wave of D2C businesses in India. In the year 2025, we are the market leader in our domain. There’s never been a more exciting time to be in BusinessOnBot.

We are on a mission to help a million+ consumer brands with automated sales and user acquisition via omni channels (WhatsApp/Instagram/Email and SMS)

Position Overview: We are looking for a passionate and skilled React Native Mobile Developer with hands-on experience in building high-performance mobile applications for both iOS and Android platforms. In this role, you will be responsible for developing scalable, user-centric mobile solutions that align with product goals and enhance overall customer experience.

You will work closely with Product, Design, and Engineering teams to design, develop, test, and deploy new features while ensuring application performance, responsiveness, and reliability. The ideal candidate is a proactive problem-solver with strong technical expertise in React Native, a solid understanding of mobile architecture and APIs, and the ability to write clean, maintainable, and efficient code in a fast-

paced SaaS environment.

Key Responsibilities:

1. Develop and maintain mobile applications using React Native for both iOS and Android platforms.
2. Collaborate with cross-functional teams to define, design, and deliver new features.
3. Ensure the performance, quality, and responsiveness of applications.
4. Identify and correct bottlenecks and fix bugs to enhance application performance.
5. Write clean, maintainable, and efficient code following industry standards and best practices.
6. Integrate third-party APIs and services.
7. Work on continuous integration and continuous deployment (CI/CD) pipelines for mobile applications.
8. Stay updated on the latest technologies and frameworks to continuously improve app development.

Skills and Qualifications:

• Proven experience as a React Native Developer (minimum 1 years).
• Hands-on experience with React Native, including complex app architectures, Redux-Saga, Sockets.io or Context API.
• Understanding of mobile app development principles, including the mobile development lifecycle.
• Knowledge of RESTful APIs to connect mobile apps with backend services.
• Experience in optimizing app performance and troubleshooting crashes.
• Strong problem-solving and debugging skills.

Must Have:

• Experience with TypeScript in React Native and Angular
• Understanding of mobile app distribution via App Store and Play Store.

Benefits:

• Work closely with Product and Engineering teams in a fast-growing SaaS company
• Exposure to SaaS product workflows and direct collaboration with product & tech teams
• Positive and collaborative work culture

Required Skills and Experience:

Proficient in Java (Java 8 and above), with a strong understanding of object-oriented programming.

Knowledge in the trading domain, including familiarity with trading systems and protocols.

Strong skills in SQL and PL/SQL for database management and query optimization.

Hands-on experience with Linux and Windows operating systems for application deployment and maintenance.

Proficiency in scripting languages (e.g., Bash, PowerShell, or similar).

Knowledge of Python programming for auxiliary development and analytics tasks.

Familiarity with multithreading, concurrency, and low-latency application development.

Experience with CI/CD pipelines, version control systems (e.g., Git), and deployment workflows.

Responsibilities:

• Engage directly with customers to design, develop, and deploy AI enterprise applications on the 
• Become an expert in application design and development on the ; lead design and code reviews of end-to-end customer applications
• Perform enhancement, testing, and troubleshooting, of applications with and on behalf of customers
• Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs
• Write specifications, documentation, and user guides for customer applications

 Required Qualifications:

• Bachelor’s degree in a Science, Technology, Engineering or Math (STEM) field
• 3+ years professional experience in a customer-facing role building enterprise cloud software applications
• Solid understanding of cloud computing concepts
• Solid understanding of databases types and trade-offs
• Demonstrated proficiency in Java and/or similar programming languages
• Working knowledge of Agile software development methodology
• Strong analytical ability and problem-solving techniques
• Strong organizational skills with high attention to detail
• Excellent interpersonal skills with the ability to work effectively in a cross-functional team

 Preferred Qualifications:

• Bachelor’s degree in Computer Science or equivalent field; graduate degree in complimentary STEM or Business field
• Experience building and deploying AI-based enterprise applications
• Solid understanding of common machine learning techniques, applications, and trade-offs
• Demonstrated proficiency in javascript and/or similar programming language
• Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications
• Proficiency in time series analysis, data cleansing, and data normalization

Work in an exciting and challenging role at a leading credit rating company that is leveraging software and technology tools to change the face of credit rating in India!

Our client with nearly two decades of presence has established itself as the second-largest credit rating agency in India. They provide ratings in the financial sector, infrastructure sector, corporates, public finance, and MSME spaces. The company is headquartered in Mumbai and has regional offices at Ahmedabad, Bengaluru, Chandigarh, Chennai, Coimbatore, Hyderabad, Jaipur, Kolkata, New Delhi, Pune and Mauritius.

Our client also carries out grading of IPOs, assesses financial strength of shipyards, grades various courses of Educational institutions and provides grading services to Energy service companies. They are nurturing global opportunities and have made forays in different forms with 4 partners from Brazil, Portugal, Malaysia and South Africa.

As the Senior Manager (Ratings - BFSI), you will maintaining cases and assignments undertaken by group head in the year, managing Sector reports / criteria commentary publishing

What you will do:

• Ensuring Execution of projects
• Providing inputs and commitments towards strategic/ quality decision making
• Facilitating Development & improvement of methodology for sectors
• Minimising Sharp Rating Migration Cases/Rating Quality
• Ensuring quality and readability of rating report as well as rationale, press releases etc.
• Handling Complex situations
• Ensuring timely completion of rating assignments.
• Keeping track of changes in the respective sectors & and bringing important facts to managements notice.
• Presenting the case in the Rating Committee Meeting
• Maintaining MIS, quarterly results/ no default statement, rating reckoner etc.
• Leading & guiding the team of analysts working in the team.
• Monitoring and measuring productivity of team members
• Modelling the leadership behaviors and coaching and mentoring junior staff

What you need to have: