Manager - Customer Success

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping 

businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow 

their revenues via WhatsApp.

Why AiSensy?

AiSensy is building for the next wave of WhatsApp Engagement between 

Businesses and Users. We aim to solve WhatsApp Engagement for Millions

of Businesses with their users and are quite onto it! We're looking for 

energetic and growth-oriented individuals who believe in the mission and 

would love to join the FORCE.

2500+ Paying Customers 

200mn+ WhatsApp Messages done between Businesses and Users 

via AiSensy

Working with top brands like Skullcandy, Vivo, Rentomojo, BYJUS & 

more

High Impact as Businesses drive 25-60% Revenues using AiSensy 

Platform

Mission-Driven and Growth Stage Startup 

Job Summary

We are looking for a talented and creative Video Editor to join our team. The ideal candidate will have experience in video production and editing, a keen eye 

for detail, and a passion for storytelling through video.

Responsibilities

Execute the filming of high-quality professional audio and video footage 

(arrange for and operate required camera, audio and lighting equipment) and 

work with the talent to deliver within required schedules learning content 

video assets

Correctly estimate and communicate the time and effort needed to perform tasks.

Contribute to the conceptualization of projects.

Edit content in collaboration with the content team to an exceptional standard

and create repeatable / streamlined processes for on-going and future project 

needs

Ideate, create and manipulate complementary compelling and dynamic 

animated and static graphics to improve comprehension of filmed learning 

content and concepts

Create basic video edits - automated audio syncing, color correction and 

grading, audio noise removal, trimming of non-content footage, basic titling 

and logging of content

Work with the content team to determine methods to improve learning (notes,

multi-windows, illustrations, other learning aids) and technically execute the 

recommendations throughout the lifecycle of a production.

Ensure logical sequencing and smooth running of content (continuity, lip sync,

focus, order of topics, segmentation into clips)

Create the final cut rendered in appropriate formats

Be responsible for the backup and archival of final cut content according to 

SOP guidelines.

Consult and communicate effectively with team members and other company 

stakeholders and interface with other departments to execute ad-hoc video 

projects as required

Handle in-house requests for recording video, with quick editing turnaround 

time and suitable quality to enable uploading of clips onto the company’s 

social media channels

Identify equipment needs and maintain current equipment (including software

/ OS)

Continuously discover and implement new editing technologies and industry’s

best practices to maximize efficiency.

Requirements

2+ years of video editing and design experience in Adobe Premiere Pro and 

After Effects (including sound sync, audio noise removal, lower thirds titling, 

color correction, green screen keying, title animations)

Familiarity with best practices for video recording (audio levels, mic setup, 

lighting setup, camera and related equipment setup and operation)

Familiarity with screen capture software and technologies

Ability to work independently and be a proactive learner

Good communication skills – verbal and written

Excellent project management skills and ability to deliver projects according

to timelines

Qualifications

2+ Yrs. of editing experience.

A portfolio demonstrating an ability to work across a range of visual styles

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.