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As a Demand Generation Lead, you will play a critical role in driving revenue growth through strategic demand generation campaigns and initiatives. You will be responsible for executing integrated marketing campaigns, optimizing lead generation efforts, and collaborating with cross-functional teams to achieve business objectives.

Roles and Responsibilities:

• Develop and implement comprehensive demand-generation strategies that align with our business objectives and target audience. Identify target markets, segments, and personas to guide campaign planning and execution.
• Planned, create, and execute integrated marketing campaigns across various channels, including email marketing, digital advertising, content marketing, social media, and events.
• Optimize lead generation efforts through the effective use of marketing automation platforms, lead capture forms, landing pages, and lead nurturing workflows.
• Collaborate with the content team to develop high-quality content assets, such as whitepapers, case studies, blog posts, and videos, that support demand generation efforts.
• Utilize marketing analytics tools to track, analyze, and report on campaign performance, including metrics like conversion rates, ROI, and pipeline generation.
• Work closely with cross-functional teams, including sales, product marketing, design, and PR to align demand generation initiatives with overall marketing and sales strategies.
• Stay informed about market trends, competitor activities, and industry best practices related to demand generation and B2B marketing.

Requirements:

• Bachelor’s degree in marketing, business, or a related field.
• Proven experience in demand generation, digital marketing, or a related field within the B2B SaaS industry.
• Strong knowledge of demand generation tactics and channels, including email marketing, digital advertising, content marketing, social media, and events.
• Proficiency in marketing automation platforms, such as HubSpot, Marketo, or Pardot, and CRM systems like Salesforce.
• Excellent analytical skills with the ability to interpret data, track key metrics, and make data-driven decisions to optimize campaign performance.
• Exceptional project management skills with the ability to manage multiple campaigns and priorities simultaneously.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Strategic mindset with a focus on driving results, meeting targets, and contributing to revenue growth

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

Job Description:

Oracle EBS Technical

Senior Program Analysts having 3+ years of experience working on Oracle EBS (release 12+) Financial modules (Projects, Purchasing optional)

Expertise in D2K forms, Reports, XML reports, PLSQL, API/Interface development, OAF knowledge is optional

Should have knowledge of Financial modules (GL, AP, AR)

Worked on interfaces and API

Can work independently once requirements are shared. Able to navigate and test functionality in Oracle EBS without support

Additional information

Good communication skills and accounting knowledge is must

The Impact you will create on the Job

Understand and handle deploying, troubleshooting issues with Compute, Networking, Storage, Database services on AWS & Azure.
IT experience in a team handling the cloud, infrastructure and Linux, Windows operating systems.
Working on  different services in AWS & Azure Cloud Platform
In depth knowledge of a wide range of AWS & Azure services in Compute, Storage, Networking, Infrastructure as a code, Serverless computing, IAM, CI/CD pipelines
Possess a thorough understanding of Internet based technologies (DNS, Security, IP Routing, SSH, FTP, HTTP/HTTPS etc.)

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

• Mandatory Modules: Inventory, Purchase Order, Order Management.

• Skill: Oracle Supply Chain Management Functional Consultant

• Hands-on experience in Oracle SCM 11i & R12 with good English (Written + Verbal) communication skills, team player, ready to travel / relocate & available at short notice.

• Should have extensively worked on Oracle EBS Support/implementation/upgrade Projects should be aware of the solution design, documentation, and AIM/OUM methodology.

• Expertise in Modules OM, Purchasing, Inventory. 

• Industry experience in Supply Chain Industry will be an added advantage.

• Ready to work in Shifts by rotation if required.

*Skill Required: Oracle EBS SCM Functional*