Marketing Associate — Content & Growth Ops

Job Title: Business Development Manager

Location: Vashi, Navi Mumbai

Company: Grexa AI Pvt Ltd

About Grexa

Grexa is a new-age, venture-funded AI startup founded by four seasoned entrepreneurs and former CXOs of Testbook.com - Ashutosh Kumar, Narendra Agrawal, Ayush Varshney, and Arpit Oswal. Together, they built Testbook from the ground up into a $30Mn ARR business with 1,000+ employees, which was later successfully acquired by a leading edtech company. The founding team comprises IIT Bombay and IIT Kanpur alumni, each with over 15 years of experience in building high-growth digital businesses powered by cutting-edge AI.

At Grexa, we're on a mission to build the world’s first Marketing AI Agent for small businesses - a fully autonomous system that drives real revenue growth by automating and optimizing every aspect of digital marketing. Our goal is to make powerful digital marketing accessible to every small business on the planet.

We’re assembling a rockstar team to create one of the fastest-growing AI startups from India, poised to disrupt the global digital marketing space.

If you're excited about solving meaningful problems and building transformative AI products - we’d love to hear from you. Apply now and be part of this journey.

Role Overview

We are looking for a Business Development Manager with strong expertise in sales, strategy, digital marketing, and team leadership, particularly in the local business technology solutions space.

Key Responsibilities

• Lead sales operations, including lead nurturing, consultation pitching, and deal closures.
• Develop and execute smart sales strategies to deliver high conversion numbers.
• Analyze market trends, competitor offerings, and customer pain points to refine sales tactics.
• Work closely with the marketing team to optimize lead conversion through targeted campaigns.
• Conduct pricing and value comparisons to demonstrate ROI to clients.
• Oversee the entire sales pipeline, ensuring smooth follow-ups and post-sale satisfaction.
• Track performance metrics, prepare sales reports, and implement strategies for continuous improvement.

Requirements

• Proven 4+ years of experience in business development, sales and digital marketing (preferably in local business tech solutions).
• Strong expertise in sales pitch, sales strategy, digital marketing, and team leadership.
• Excellent communication, negotiation, and presentation skills.
• Comfortable with using and selling technology platform solutions
• Self-motivated, target-driven, and adaptable to a fast-paced environment.

Nice to Have

• Experience in selling digital marketing services or SaaS products to local businesses.
• Understanding of SEO and Local SEO, online reputation management, and Google and Meta Ads.
• Experience in handling high-ticket sales and negotiating long-term contracts.

Senior Data Engineer

About Pro Football Focus (PFF)

Pro Football Focus (PFF) is a global leader in sports analytics, delivering the most comprehensive football data and insights in the industry. Trusted by all 32 NFL teams and numerous collegiate programs, PFF transforms game film into advanced analytics and decision-support tools that power winning strategies.

With a strong focus on data science, engineering excellence, and innovation, PFF builds scalable data platforms that process massive volumes of structured and unstructured football data — enabling teams, media, and fans to make smarter, data-driven decisions.

Key Responsibilities

• Design and build scalable ETL pipelines for large-scale data transformation and ingestion
• Handle both one-time bulk data migrations and real-time streaming data updates
• Develop and maintain data workflows that ensure reliability, quality, and performance
• Design efficient data storage strategies using relational and columnar databases
• Make architectural decisions on when to use columnar vs relational systems
• Work with and contribute to data lake architectures and data warehousing solutions
• Optimize query performance and data modeling strategies
• Collaborate with backend engineers, data scientists, and product teams
• Contribute to API layers including GraphQL integrations where required
• Ensure best practices around data governance, scalability, and observability

Required Skills & Experience

• 5+ years of relevant experience in Data Engineering
• Strong experience writing and maintaining ETL pipelines
• Hands-on experience with large-scale data transformation and storage
• Solid understanding of:
• Relational databases (e.g., PostgreSQL, MySQL)
• Columnar databases (e.g., Redshift, Snowflake, ClickHouse)
• Knowing when and why to use each
• Strong understanding of Data Lake concepts (S3-based architectures, partitioning, storage layers, metadata management)
• Experience with Data Warehousing concepts (dimensional modeling, star schema, fact/dimension tables)
• Familiarity with GraphQL and data API exposure
• Experience working in AWS ecosystem (S3, Redshift, Glue, Lambda, etc.) preferred
• Strong SQL skills and query optimization knowledge
• Good understanding of performance tuning and scalable system design

Nice to Have

• Experience working with streaming systems (Kafka/Kinesis)
• Experience with infrastructure-as-code
• Exposure to analytics-heavy or sports/media domains
• Experience building or contributing to data lake architecture

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

We are seeking a dynamic Digital Marketing Executive/Manager to join our team. The ideal candidate will have at least 1 year of hands-on experience in digital marketing Specially in Social Media, Face book and Google Ads. And will be responsible for planning, executing, and monitoring our digital marketing campaigns. This role is perfect for someone who is passionate about leveraging digital platforms to drive business growth and enhance brand presence.

Skills & Abilities:

•           Good Knowledge Of Google Ads / Facebook Ads And Social Media Marketing.

•           Manage social media campaigns and create engaging content.

•           Develop and implement digital marketing strategies to drive online traffic and engagement

Key Responsibilities:

•           Run and optimize PPC campaigns and analyze ad performance.

•           Manage and maintain social media profiles (e.g., Facebook, Instagram, Google).

•           Online Advertising: Launch optimized online advertisements through platforms like Google

              AdWords and Facebook to enhance company and brand awareness.

•           Lead Generation: Design and implement lead generation campaigns through platforms such as

             Google Ads and social media focusing on home buyers.

Required Qualifications

             Experience:

·      Minimum of 1 year in digital marketing with proven experience executing digital campaigns.

              Educational Background:

·      Bachelor’s degree in Marketing, Business, Communications, or a related field (or equivalent experience).

·      Technical Proficiency:

·      Familiarity with digital marketing tools such as Google Analytics, SEO tools, email marketing platforms, and social media management software.

                Skills:

·      Excellent communication skills, a creative mindset, strong analytical abilities, and a proactive approach to problem-solving.

Adaptability:

·      Comfort in a fast-paced environment with the ability to manage multiple projects simultaneously.

Application Process

·      Interested candidates should submit their resume along with a cover letter outlining their experience and why they are a good fit for this role. We look forward to reviewing your application!

Primary Role

• As an SSRS Report Engineer, the primary job role is to develop a transactional data report using Microsoft SQL Service Reporting Service 2016 or above.
• This includes developing high performing Stored Procedures, Functions, and corresponding reporting formats.
• Required to design the required logics for the queries and collaboratively coordinate with the rest of the team.

Main Duties / Responsibilities

• Design & implement high performing T-SQL queries as per the functional specification.
• Create Technical Specification.
• Effective troubleshooting of technical issues and bugs.
• Package deployment and release management.
• Provides technical support to customers.
• Participate in Requirements discussions.
• Must be able to manage timelines and task priorities.
• Attention to detail and maintaining high-quality standards is a must.

TECHNICAL KNOWLEDGE

• Experience in Microsoft SQL Server 2016 (or above) and Microsoft SQL Service Reporting Service 2016 (or above).
• Knowledge of T-SQL including complex SQL queries, stored procedures, views and functions.
• Experience with usage of indexes and T-SQL performance tuning techniques.

QUALIFICATIONS

• Bachelor’s Degree or an equivalent qualification

Frontend Developer

RESPONSIBILITIES

• Understanding requirements present in specification documents
• Integrate data from various backend-services and databases
• Working with code base across multiple development & staging environments
• Take part in User Acceptance Testing (UAT)
• Be part of Production deployment & release activities

TECH SKILLS

• Must Have:

*       Proven working experience in web programming

*       Know HTML, CSS and JavaScript and the relevant web design coding

*      Must have knowledge on Angular 4+

*      Good to have knowledge on React js

*      Good to have knowledge on view.js

*      Good documentation skills

EXPERIENCE

• 2 to 4 years, preferably in an agile environment