Manager - Marketing

At Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.

Why Palcode.ai

Tackle Complex Problems: Build AI that reads between the lines of construction bids, spots hidden risks in contracts, and makes sense of fragmented project data

High-Impact Code: Your code won't sit in a backlog – it goes straight to estimators and project managers who need it yesterday

Tech Challenges That Matter: Design systems that process thousands of construction documents, handle real-time pricing data, and make intelligent decisions

Build & Own: Shape our entire tech stack, from data processing pipelines to AI model deployment

Quick Impact: Small team, huge responsibility. Your solutions directly impact project decisions worth millions

Learn & Grow: Master the intersection of AI, cloud architecture, and construction tech while working with founders who've built and scaled construction software

Your Role:

• Design and build our core AI services and APIs using Python
• Create reliable, scalable backend systems that handle complex data
• Help set up cloud infrastructure and deployment pipelines
• Collaborate with our AI team to integrate machine learning models
• Write clean, tested, production-ready code

You'll fit right in if:

• You have 1 year of hands-on Python development experience
• You're comfortable with full-stack development and cloud services
• You write clean, maintainable code and follow good engineering practices
• You're curious about AI/ML and eager to learn new technologies
• You enjoy fast-paced startup environments and take ownership of your work

How we will set you up for success

• You will work closely with the Founding team to understand what we are building.
• You will be given comprehensive training about the tech stack, with an opportunity to avail virtual training as well.
• You will be involved in a monthly one-on-one with the founders to discuss feedback
• A unique opportunity to learn from the best - we are Gold partners of AWS, Razorpay, and Microsoft Startup programs, having access to rich talent to discuss and brainstorm ideas.
• You’ll have a lot of creative freedom to execute new ideas. As long as you can convince us, and you’re confident in your skills, we’re here to back you in your execution.
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Location: Bangalore, Remote

Compensation: Competitive salary + Meaningful equity

If you get excited about solving hard problems that have real-world impact, we should talk.

All the best!!

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Enterprise Sales Consultant will work in the sales team of Cogno AI and report to the respective managers. The enterprise sales consultant will be responsible for ensuring timely closures of the opportunities assigned to them and will be responsible for handling the end-to-end sales cycle for all the leads/opportunities allotted to them. Basis their experience they could be put in an International (APAC/MENA/Africa) or Domestic team.

Key Responsibility Areas (KRAs)

• Setting up the initial meeting with the right stakeholders.
• Establish client relationships through constant follow-ups and discussions/progress updates.
• Mapping the right use cases with the stakeholder for each of our existing clients.
• Showcasing the demo of our Products and explaining the use cases to the clients.
• Answering the most common questions related to the Product, use-case, Technical Architecture, Product Security, etc.
• Coordinating with various teams within the client - Business, IT, Information Security, etc.
• Coordinating with various teams within Cogno AI - Operations, Customer Success, Product, Information Security, etc.
• Completing the Sales cycle by getting the PO and the Contract Agreement signed.
• Achieving revenue (MRR booking) targets.

What do we look for?

• Should have worked at a fast-growing startup for at least 2 years.
• 1 to 4 years of B2B Sales experience in IT/SaaS based Enterprise software domain (Preferred if already have experience selling to BFSI companies)
• Experience in selling to international BFSI clients (APAC/MENA/Africa) - preferred
• Should have handled end-to-end sales cycle (Lead gen to closure - Money hitting company's bank account)
• Should have given product demos and converted the business ask of the customer to a solution for the end customer.
• Should have handled sales cycles of 4 to 6 months.
• Have handled 30 to 40 opportunities in parallel
• Should have handled senior-level persons (CxOs, SVPs, etc. ) in the past organization
• Should have closed opportunities worth Rs. 50,000 to Rs. 1,00,000 per month (MRR)

What do we have to offer you?

• Ownership of business goals.
• Hybrid Working policy
• MacBooks
• Health Insurance
• Life Insurance
• Kaha Mind Mental Wellness Plan
• Communication Allowance
• Flexible salary structure with tax savings
• Paytm Food Wallet
• Office clothes allowance

Job Summary:

We are seeking a detail-oriented Sales Coordinator with a mechanical background to support our sales team in the transmission tower lines sector. The role involves managing client interactions, coordinating project activities, and ensuring smooth execution of sales processes.

Key Responsibilities:

• Client Coordination: Serve as the main contact for clients, handle inquiries, and manage relationships.
• Sales Support: Prepare proposals, quotations, and contracts. Track and follow up on sales leads.
• Project Management: Coordinate with internal teams to ensure project requirements and deadlines are met. Monitor project progress.
• Administrative Duties: Maintain project documentation, generate sales reports, and manage scheduling and travel arrangements.
• Market Research: Conduct market analysis and provide insights to support sales strategies.

Qualifications:

• Education: Bachelor's degree in mechanical engineering or related field.
• Experience: 2-3 years in a sales coordination or related role, preferably in the power transmission industry.

Are you looking for a promising career with a well known ed-tech brand, which is looking to make life easier for kids and parents to understand basic concepts of learning? Then read on.

Our client aspires for equity in education along with profound, measurable societal impact. The company provides learning solutions such as digitalized educational contents, English speaking, school infrastructure, improvement and management solutions etc. for a spectrum of audiences ranging from children in schools and informal setting, to teachers, adults, and corporate. They've created significant reach and impact at scale; through their presence across 32 States and Union Territories and 478 districts of India, in 36,000 schools and with a network of around 300 Institutes of Skills, and 100 industrial clusters, they directly impact 15 million people on a daily basis.

What you need to have:

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams