Engineering Manager

We are seeking a Partner Program Manager to join our global team, responsible for implementation and execution of NuoData's partner program initiatives. In this role, you will help manage key elements of our partner ecosystem to support revenue growth, enhance partner profitability, and ensure a positive partner experience with NuoData. You will report to Senior Director, Marketing, Partnerships, and GTM and collaborate with cross-functional teams across our global offices.

Responsibilities:

• Develop and manage global partner program that drives sales through acquisition and onboarding of solutions, software, services, hyperscalers, technology, system integrators, and vertical industry partners.
• Partner scouting, vetting, and determining product and services that compliments NuoData.
• Establish partner relationships through portal registration and alliance contacts.
• Ensure NuoData receives the optimum benefit from the partner relationship.
• Develop joint go-to-market programs delivering co-branded campaigns, sales enablement, and join sales efforts.
• Design and oversee partner reseller benefits and incentives that motivates top-performing partners.
• Mitigate partner conflict, competition with NuoData and other partner solution overlap, and product offerings.
• Help maintain program structure elements including partner tiering, rules of engagement, qualification processes, and training standards.
• Collaborate with regional teams to track partner performance against established metrics and support partner success initiatives.
• Assist with the implementation of training and certification programs that develop partner capabilities.
• Monitor program effectiveness through data collection and analysis to support continuous improvement efforts.
• Implement process improvements and enhance program scalability.
• Maintain documentation for program policies and processes.
• Setup regular business reviews (QBRs) to track KPIs, partner-sourced revenue, and product integration.
• Contribute to partner community-building initiatives, events and forums.
• Write copy for partner content on web, newsletters, and partner marketing materials.

Required Skills:

• 3-5 years of experience in partner programs, portals, relations, and successes, in similar roles in B2B SaaS companies.
• Has the technical knowledge and understanding of cloud infrastructure, data management and engineering, APIs, and industry technology stack.
• Strong understanding of partner operations, sales strategies, partner business models, and partner lifecycle management.
• Experience supporting partner onboarding, enablement, and development processes.
• Familiarity with partner engagement strategies for account management and growth.
• Solid organizational and project management skills
• Detail-oriented with an analytical approach to problem-solving
• Experience with channel sales motion (co-sell, resell, or distributor)
• Ability to work effectively in a hybrid environment and build relationships remotely
• Balanced approach to implementing immediate solutions while supporting long-term program optimization

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Date posted: January 22, 2026

Pay: ₹10,000.00 - ₹15,000.00 per month

Job description:

*Role Overview*

The Support Executive will act as the first point of contact for Jupsoft clients, providing prompt assistance, resolving day-to-day issues, and ensuring a smooth user experience with our ERP, CRM, and LMS products. The role requires excellent communication skills, problem-solving ability, and a strong customer-first approach.

*Key Responsibilities*

1. Handle customer queries via phone, email, chat, or ticketing system.

2. Provide timely solutions for user-level issues such as login, permissions, password resets, and navigation support.

3. Log, track, and close tickets while maintaining SLA compliance.

4. Escalate unresolved or complex issues to higher-level support when needed.

5. Maintain accurate documentation of issues and resolutions.

6. Assist clients in using ERP/CRM/LMS modules effectively.

7. Share product updates, FAQs, and knowledge base content with clients.

8. Contribute feedback on recurring issues to improve product quality and support processes.

*Requirements*

1. Proficiency in English (written and spoken).

2. Willingness for Travelling

3. Strong interpersonal and communication skills.

4. Ability to handle day-to-day client tickets with patience and empathy.

5. Customer-first attitude with focus on satisfaction.

6. Analytical and problem-solving skills.

7. Exposure to School ERP/CRM/LMS is an added advantage.

8. Required Experience- 1 year

Job Type: Full-time

Experience:

• Customer support: 1 year (Preferred)

Language:

• English (Required)

Willingness to travel:

• 50% (Required)

Work Location: In person

looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL

Job description

Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field

Requirements :

• Good interpersonal with excellent communication skills
• Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
• Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
• Conduct online and classroom training sessions by providing practical use cases and assignments
• Able to cater College Seminar, Workshop, Corporate training.
• Provide Interview Preparation and placement assistance to students
• Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.

Job Profile :Sr. Software Engineer/Software Engineer/Associate Software Engineer

Technologies :NodeJS Developer

Eligibility Criteria :Requires minimum of a Bachelor’s Degree in IT, Computer Science, MCA or equivalent experience.

Experience :1 to 3 year

Job Description

Job roles and responsibilities

The candidate’s primary focus will be developing new features for our modern web application. They will get exposure to an ‘agile-centric’ delivery model, while leveraging modern / innovative JavaScript approaches. A candidate who is driven, innovative and has passion for elegant technical solutions will thrive in this role.

• You should have deep understanding of NodeJS

• You should be strong in Javascript and TypeScript

• You should be capable of writing complex queries

• ES6, Express, Apollo Server, Send Grid Email, Twilio SMS, Payment Gateway,

• Error Loggin, API Developement, API Security,

• PostGreSQL/MSSQL/MySQL, MongoDB/CouchDB

• Very good knowledge on REST API

• Good experience in Agile methodologies

• Ability to design and write code complying with coding standards and other factors like performance, scalability, reliability, reusability, modularity in mind

• You should have strong logical and problem solving skills

• Excellent communication and customer interfacing skills

• AWS certification is nice to have

• Strong proficiency with JavaScript and good to have ES6(Typescript) knowledge

• Knowledge of Node.js and frameworks such as Express, Restify

• Understanding the nature of asynchronous programming and its quirks and workarounds

• Understanding accessibility and security compliance

• User authentication and authorization between multiple systems, servers, and environments

• Integration of multiple data sources and databases into one system

• Understanding fundamental design principles behind a scalable application

Competencies and Skills Required

• Requires excellent analytical, problem solving, and good communications skills

• Must be able to work effectively with business stakeholders

• Strong passion for delivering technical solutions to business problems

• Understanding and mindset of Agile software delivery (Ability to adapt to continually changing priorities)

• Team player who understands the importance of teamwork and collaboration

• Passion for delivering new approaches and challenging the ‘status-quo’

• Hungry to learn and always in search of continuous improvement