Sales Executive

Palcode is building AI Agents for the construction industry — RFI responders, bid validators, and scope analyzers built with deep domain logic. These aren’t chatbots — they’re real workflows for real problems.

We're now hiring our first Product GTM Associate to help us test messaging, automate outreach, and tell stories that resonate with the field — Project Managers, Estimators, and Construction Executives.

💼 What You’ll Do

• Run cold outreach on Smartlead, Clay, LinkedIn & email — messaging that feels personal, not spammy
• Create story-first content — short, clear, and built around the voice of construction professionals
• Own and test GTM motion: ICP → Copy → Campaign → Learn → Iterate
• Work with tools like Zapier, Notion, Clay, Airtable, and V0.dev to automate and scale growth loops
• Partner with the founding team to experiment with GTM channels, offers, and narratives
• 
  

🎯 Who You Are

• 0–1 year of experience in product marketing, GTM, SaaS growth, or founder-led outreach
• Technical background (CS, Engineering, Data) — you’re hands-on with tools and learn fast
• Clear writer — you don’t fluff, you clarify. Bonus if you’ve published before (LinkedIn, blog, etc.)
• Curious and iterative — you love launching small experiments and learning what works
• You care about the product, not just the metrics. You want to understand the user and the job to be done

💸 Compensation

• Probation (4 months): ₹12,000–₹16,000/month (based on profile)
• Post-confirmation: ₹3–4 LPA (depending on performance)
• Annual Bonus: ₹50,000
• Fully Remote

🎁 Perks

• Direct mentorship from founder + visibility into every GTM decision
• Deep learning in outbound SaaS growth, content marketing, and automation
• Build and launch GTM experiments from day one — you’ll move fast
• A front-row seat in how a real AI startup is built, from zero to one

🔍 How to Apply

Just send us:

• A short intro or Loom video on why this excites you
• Links to anything you’ve written, built, or shipped (LinkedIn, GitHub, Notion, blogs, etc.)

Job Title: GCP Data Architect

Location: Madurai

Experience: 12+ Years

Notice Period: Immediate 

About TechMango

TechMango is a rapidly growing IT Services and SaaS Product company that helps global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. We are seeking a GCP Data Architect to lead data modernization efforts for our prestigious client, Livingston, in a highly strategic project.

Role Summary

As a GCP Data Architect, you will be responsible for designing and implementing scalable, high-performance data solutions on Google Cloud Platform. You will work closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals.

Key Responsibilities:

• Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP)
• Define data strategy, standards, and best practices for cloud data engineering and analytics
• Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery
• Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery)
• Architect data lakes, warehouses, and real-time data platforms
• Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP)
• Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers
• Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards
• Provide technical leadership in architectural decisions and future-proofing the data ecosystem

Required Skills & Qualifications:

• 10+ years of experience in data architecture, data engineering, or enterprise data platforms
• Minimum 3–5 years of hands-on experience in GCP Data Service
• Proficient in:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner
• Python / Java / SQL
• Data modeling (OLTP, OLAP, Star/Snowflake schema)
• Experience with real-time data processing, streaming architectures, and batch ETL pipelines
• Good understanding of IAM, networking, security models, and cost optimization on GCP
• Prior experience in leading cloud data transformation projects
• Excellent communication and stakeholder management skills

Preferred Qualifications:

• GCP Professional Data Engineer / Architect Certification
• Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics
• Exposure to AI/ML use cases and MLOps on GCP
• Experience working in agile environments and client-facing roles

What We Offer:

• Opportunity to work on large-scale data modernization projects with global clients
• A fast-growing company with a strong tech and people culture
• Competitive salary, benefits, and flexibility
• Collaborative environment that values innovation and leadership

Profile - Software developer

Experience- 2 to 4 years

Skills- ASP.NET, C#, Entity Framework, SQL Server, LINQ, SSRS, Knowledge of HTML, CSS, JavaScript

Job Location - Navi Mumbai

CTC - Based on your valuable experience

JD

1. Developing innovative solutions.

2. Learning the code base and improving your coding skills.

3. Assisting the development manager with all aspects of software design and

coding.

4. Writing and maintaining error-free code.

5. Monitoring the technical performance of Internal systems.

6. Troubleshooting and debugging code.

7. Working closely with developers to improve the product's functionality.

8. Developer's end testing.

9. Should be able to adapt fast-paced work environment

Company Profile:

The company is World's No1 Global management consulting firm.

Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification

Senior Analytics Consultant- Responsibilities

• Understand business problem and requirements by building domain knowledge and translate to data science problem
• Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
• Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
• Prototype and experiment the solution to successfully demonstrate the value
  Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines
• Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
• Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives

• 7 years of hands-on experience on database development
• Very strong and hands-on in Oracle Database and PL/SQL development
• Hands on experience in designing solutions and developing for data migration projects using Oracle PL/SQL
• Experience with Oracle Argus Safety, ArisG and other Safety/Clinical systems
• Working experience in development of ETL process, DB Design and Data Structures
• Excellent knowledge of Relational Databases, Tables, Views, Constraints, Index (B Tree, Bitmap and Function Based) , Object type, Stored Procedures, Functions, Packages and Triggers, Dynamic SQL, Set transaction, pl/sql Cursor variables with Ref Cursor
  Excellent written and verbal communication skills

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering