Sales Executive-Punjab

ROLES AND RESPONSIBILITIES:

We are looking for a dynamic, tech-savvy Technical Account Manager who is passionate about emerging technology and dedicated to delivering exceptional customer experiences. As a key member of our global supply team, you will be pivotal in engaging with both prospective and existing clients, particularly with top endemic publisher accounts in the AdTech/Pharma Tech sectors, support the onboarding process, helping customers gain maximum value from our solutions.

• Account management: build and maintain strong, strategic relationships with clients, acting as a trusted technical advisor throughout the onboarding and post-implementation phases
• Onboarding & implementation: support technical onboarding for new clients, managing integrations and ensuring clients are set up for success from day one
• Ongoing client support: act as the primary technical contact for key accounts, troubleshooting issues, and proactively identifying opportunities to drive client satisfaction and retention
• Conduct live demos: present our solutions to prospective clients, emphasizing unique benefits and features, and tailor demos for varying audience levels, with a focus on endemic and top publisher accounts
• Cross-functional collaboration: identify client needs and customise demo experiences for prospective and new clients, ensuring alignment with their goals, particularly with top publisher accounts
• Feedback & reporting: gather insights from client interactions to inform product development. Regularly report on account health, demo success, and product feedback, helping share future enhancement

IDEAL CANDIDATE:

• Total experience 8+ Yrs
• 8+ years of experience as a technical account manager, publisher ops role or similar role, with experience in the AdTech, digital media, programmatic advertising space
• Strong hands-on expertise working with top SSP platforms and publisher accounts
• Strong understanding of programmatic technology, SSPs, and the AdTech ecosystem, comfortable explaining technical concepts in clear, accessible language
• Skilled in building and nurturing client relationships, with a strong commitment to costumer success and satisfaction
• Demonstrated ability to think on your feet, solve technical issues in real time, and effectively address client concerns
• Exceptional presentation skills, with the ability to engage diverse audiences and adapt content to client needs
• Team player with ability to work collaboratively with sales, customer success, and product teams
• Adaptable and able to thrive in a dynamic, fast-paced environment
• Bachelor's degree

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Job Title: Data Engineer

About the Role

We are looking for a highly motivated Data Engineer to join our growing team and play

a critical role in shaping the data foundation of different software platforms. This role sits

at the intersection of data engineering, product, and business stakeholders, and is

responsible for building reliable data pipelines, delivering actionable insights, and

ensuring data quality across systems.

You will work closely with internal teams and external partners to translate business

requirements into scalable data solutions, while maintaining high standards for data

integrity, performance, and usability.

Key Responsibilities

Data Engineering & Architecture

 Design, build, and maintain scalable data pipelines and ETL/ELT processes

 Develop and optimize data models in PostgreSQL and cloud-native

architectures

 Work within AWS ecosystem (e.g., S3, Lambda, RDS, Glue, Redshift, etc.) to

support data workflows

 Ensure efficient ingestion and processing of large-scale datasets

Business & Partner Integration

 Collaborate directly with business stakeholders and external partners to

gather requirements and deliver reporting solutions

 Translate ambiguous business needs into structured data models and

dashboards

 Integrate with third-party APIs and other external data sources

Data Quality & Governance

 Implement robust data validation, monitoring, and QA processes

 Ensure consistency, accuracy, and reliability of data across the platform

 Troubleshoot and resolve data discrepancies proactively

Reporting & Analytics Enablement

 Build datasets and pipelines that power dashboards and reporting tools

 Support internal teams with ad hoc analysis and data requests

 Partner with product and engineering teams to embed data into the SaaS product experience

Performance & Scalability

 Optimize queries, pipelines, and storage for performance and cost efficiency

 Continuously improve system scalability as data volume and complexity grow

Required Qualifications

 3–6+ years of experience in Data Engineering or related role

 Strong proficiency in Python for data processing and scripting

 Advanced experience with PostgreSQL (query optimization, schema design)

 Hands-on experience with AWS data architecture (S3, RDS, Lambda, Glue,

Redshift, etc.)

 Experience integrating with external APIs

 Solid understanding of ETL/ELT pipelines, data modeling, and warehousing

concepts

 Experience working cross-functionally with business stakeholders

Preferred Qualifications

 Experience in AdTech, eCommerce, or SaaS platforms

 Familiarity with BI tools (e.g., Looker, Tableau, Power BI)

 Experience with workflow orchestration tools (e.g., Airflow)

 Understanding of data governance and compliance best practices

 Exposure to real-time or streaming data pipelines

What We’re Looking For

 Strong problem-solver who can operate in a fast-paced, ambiguous

environment

 Ability to balance technical depth with business context

 Excellent communication skills — able to work directly with non-technical

stakeholders

 Ownership mindset with a focus on execution and quality

Responsibilities

• Content Creation: Write and edit blog posts, articles, and social media content in line with our company’s tone and voice.
• Research: Conduct thorough research on industry topics and trends to produce relevant, data-backed content.
• SEO Optimization: Learn and implement SEO best practices to help increase the visibility of content in search engines.
• Content Planning: Assist in content planning and strategizing for blog posts, social media, and newsletters.
• Proofreading & Editing: Review and edit content for clarity, grammar, and consistency, ensuring it meets high-quality standards.
• Collaboration: Work with the marketing and design teams to ensure the content aligns with the brand’s goals and design principles.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

As a Senior Scrum Master at AVIZVA, you will be the proud skipper of

project-level Scrum Ceremonies. You will act as a bridge of dialogue

between the Scrum Team and other important stakeholders. You will not

just spot and voice the potential hiccups in your team’s progress, but you

will build solid safeguards by joining forces both within and beyond the

team

As an ambassador of Scrum principles and values, you will coach your

team to be a devoted Scrum follower. You will master the project scope

curriculum and learn the program goal basics. You will team-up with the

Product Owner and make sure that the product backlog is always up to

the minute. You will be the face of your Scrum team in cross-team

dependency reviews.

Job Responsibilities

• Acquire a holistic overview of all ongoing projects, initiatives within the

program, thoroughly understanding assigned projects' objectives,

scope, and business alignment while identifying significant cross-team

dependencies.

• Act as the custodian of Scrum practices and processes, leading the

Scrum ceremonies (Sprint Planning, Daily Standup, Sprint Review,

Sprint Retrospective) effectively and aligning them with team goals.

• Mentor the team on Agile practices, Scrum principles, product vision,

and scope, empowering them to develop a shared sense of ownership

and continuous improvement.

• Monitor project progress, provide timely feedback, and drive clear and

transparent communication within the team and with external

stakeholders.

• Identify technical and people-centered risks/roadblocks that may hinder

progress, collaborating with stakeholders to define and proactively

mitigate risks, enabling the team to focus on core tasks.

• Assist the Product Owner in refining and maintaining a visible,

transparent product backlog by estimating story points and utilizing

insights from standup meetings.

• Represent the team in weekly Scrum of Scrums meetings, presenting

detailed reports on progress, achievements, and alignment with project

goals.

• Attend PI Planning events, driving clear communication on workflow

alignment and dependencies with multiple stakeholders of the Agile

Release Train.

• Assume a proactive approach in eliminating the risk in question thus,

enabling the team to stay focused on their core tasks.

Skills & Qualifications

• Demonstrated 5 to 7 years of hands-on experience as a Scrum Master

or in Agile project management roles, exhibiting mastery in guiding

teams to successful project outcomes.

• Proficiency in facilitating Scrum events such as Sprint Planning, Daily

Standups, Sprint Review, and Sprint Retrospective, ensuring effective

collaboration and productivity.

• Extensive hands-on expertise in utilizing Agile project management

tools, particularly Jira, for comprehensive planning, tracking, and

execution of Agile projects. Strong emphasis on hands-on experience in

Jira automation.

• Deep understanding and application of Agile estimation techniques like

Story Pointing and Planning Poker, fostering accurate project planning

and delivery.

• Expertise in utilizing advanced project scheduling tools like Advance

Roadmap and PI Planning Tools such as Team Board Post Scheduler,

enabling strategic project planning and execution.

• Familiarity with SaFe methodology, providing added advantage in

orchestrating large-scale Agile initiatives.

• Proactive and enthusiastic approach to learning and adapting to new

methodologies, staying abreast of industry trends and best practices.

Expert level of knowledge in Kanban practices and strong understanding

of Lean principles.

• Strong analytical skills and proactive problem-solving ability, adept at

mitigating risks and prioritizing tasks for efficient project delivery.

• Bachelor’s or Master’s degree in Computer Science or related field

preferred, underpinning theoretical knowledge with practical experience.

• Demonstrated leadership in taking ownership of tasks and driving well-

informed decision-making through a solutions-oriented mindset,

fostering transparency and collaboration within the team.

Minimum Qualifications

• Excellent problem-solving skills and the got right attitude to work in fast paced environments
• Bachelor’s degree in computer science or equivalent practical experience
• 2 to 5 years of experience in software development using modern frontend frameworks in JavaScript/TypeScript.
• Strong understanding of data structures and algorithms.

Preferred Qualifications

• Strong in Object Oriented Programming and Design Patterns.
• You have experience of working closely with the product and design teams to deliver the product that materially impacts the business and improves the customer experience
• You follow SOLID principles and have experience with microservice architecture, have designed and implemented high performance scalable services/APIs.
• You have experience with component based architectures, PWA, Service workers, UI patterns and libraries most preferably ReactJS / NextJS
• Write client side high performant applications & develop prototypes
• Experience working with Node, NestJS / Express.
• Experience working with PostgreSQL, Redshift, Dynamo, Mongo and Cassandra databases.
• Experience working with RabbitMQ, Kafka.
• You constantly learn and adopt best practices at work, keeping in mind app performance, security, and scalability.
• You have experience working in distributed systems and built/designed systems to failover, event streaming, caching strategies
• You have experience with Docker/Kubernetes in AWS or any cloud computing platforms. And, are familiar with CI/CD processes.

Bonus if you are great communication and team collaboration skills.

• Acquiring a deep understanding of our tech product, CKKA Lite.
• Conduct market research to identify selling possibilities and evaluate customer needs
• Actively seek out new sales opportunities through cold calling, networking and social media
• Set up meetings with potential clients and listen to their wishes and concerns
• Deliver appropriate presentations on products 
• Create frequent reviews and reports of sales
• Participate on behalf of the company in exhibitions or conferences
• Negotiate/close deals and handle complaints or objections
• Collaborate with team members to achieve better results
• Gather feedback from customers or prospects and share with internal teams