Product Lead

 research and identify new business opportunities - including new markets, growth areas, trends, customers, partnerships, products and services - or new ways of reaching existing markets  seek out the appropriate contact in an organisation  generate leads and cold call prospective customers  meet with customers/clients face to face or over the phone  foster and develop relationships with clients  understand the needs of your customers and be able to respond effectively with a plan of how to meet these  think strategically - seeing the bigger picture and setting aims and objectives in order to develop and improve the business  work strategically - carrying out necessary planning in order to implement operational changes  draw up client contracts - depending on the size of company, this task may be completed by someone else or agreements may not be as formal  have a good understanding of the businesses' products or services and be able to advise others about them  ensure staff are on board throughout the organisation, and understand the need for change and what is required of them  train members of your team, arranging external training where appropriate  discuss promotional strategy and activities with the marketing department  seek ways of improving the way the business operates  attend seminars, conferences and events where appropriate  keep abreast of trends and changes in the business world.

We are looking for

A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

Mentor and coach other team members

Evaluate the performance of NLP models and ideate on how they can be improved

Support internal and external NLP-facing APIs

Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

Proven ability to multi-task and deliver results within tight time frames

Must have strong verbal and written communication skills

Strong listening skills and eagerness to learn

Strong attention to detail and the ability to work efficiently in a team as well as individually

Hands-on experience with

NLP

Deep Learning

Machine Learning

Python

Bert

• You have experience with two or more development languages preferably Java or Python and React, etc 
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker

• Experienced in defining & realizing end-to-end Technical Architecture for large scale enterprise systems. Ability to identify and define non-functional requirements and design systems to meet the same.
• Strong experience in OOAD and in applying Design patterns
• At least 5 years’ hands-on experience in Java/ JEE technologies like Struts/JSF, Spring, EJB, JMS Experience only on front-end technologies like Struts, JSP, Servlets, HTML will not be sufficient.
• Experience in performance testing and optimization of JEE systems on any of the following application servers - WebLogic, WebSphere and JBoss. Deep expertise in any one of the application server is a
• Strong experience in at least one RDBMS (Oracle, MS-SQL, MySQL).
• Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment architecture, Workload modeling
• Excellent understanding of software development methodologies and
• Experience in either of these areas is a definite add-on - Infrastructure sizing, Capacity planning, Performance modeling, Cloud
• Working experience on Linux/Unix based OS system is a
• Working experience on any one of these open source technologies (LAMP stack, Node.js framework, ELK, Cassandra, MongoDB, Couch base NO-SQL databases).

Senior Software Engineer I

Primary Responsibilities

• Designs, codes, debugs, optimizes, and releases both frontend and backend components as well as internal tools.
• Performs code reviews of pull requests.
• Assists junior engineers with development and SDLC processes.
• Works closely with QA analysts for feature and regression testing.
• Writes and maintains unit, integration, and acceptance tests.
• Helps select and incorporate new tools and technologies.
• Drives continuous improvement of best practices within the development team.
• Identifies and recommends where increased automation, performance enhancements, application enhancements, and quality enhancements may be incorporated.
• Remains flexible and responsive to changing priorities and multiple, concurrent responsibilities.
• Keeps current with emerging technologies and technological developments within the industry.

Education & Experience

·      Level of Formal Education:

o  Bachelors or 5 years of professional experience

·      Area of Study:

o  Computer Science or related field

·      Years of Experience:

o  5+ years

·      Type of Experience:

o  Software Engineering

·      Special Certifications or Technical Skills:

o  n/a

·      Information Systems:

o  C#, .NET Framework, JavaScript, SQL Server

·      Technical Competencies:

o  n/a

·      Skills and Ability:

o  C# (or similar language)

o  JavaScript / Node.js

o  SQL Server (or similar relational database management system)

o  Object-oriented design

o  Unit, integration, & acceptance testing

o  Git (or similar version control system)

·      Personal Attributes:

o  Accountable, analytical, methodical, strategic, situational awareness

·      Other/Preferred:

o  Full Stack Development experience

o  Experience or interest in learning:

§ REST web services / microservice architecture

§ Continuous integration & continuous delivery

§ Behavior-driven development

§ GraphQL

§ Docker containers

§ Cloud technologies (e.g. serverless architecture / AWS Lambda)

• Get involved in the entire customer lifecycle from on-boarding through the duration of their subscription period 
• Provide product training to enable the customers to realize the potential of the company
• Identify product usage gaps and provide actionable solutions to the customers 
• Build value-based relationships with customers and create company champions 
• Conduct Strategic Business Reviews (EBRs and QBRs) to understand customer lifecycle milestones, communicate the value of our product, showcase ROI, 
• Drive desired customer outcomes through a consultative approach 
• Ensure customer retention by negotiating and closing renewals 
• Identify opportunities of upselling and cross-selling along with the Account Managers 
• Identify appropriate business use cases where the company can be deployed 
• Establish deployment goals and desired success outcomes and then develop a plan to carry them out successfully 
• Have a strong business sense to keep looking out for new use cases and solutions using a company to create a win-win situation with customers 
• Communicate and brain-storm with the product team on customer feedback and help refine product roadmap 
• Work with the marketing team to execute customer surveys, case studies, etc 
• Identify and Process Success milestones for the customers 
• Optimize existing processes within the company and actively enhance all Customer Success initiatives 
• Drive customer advocacy through reviews, testimonials, customer meetups; and create a center of excellence within the customer's organization 

Our ideal Customer Success Manager: 

• Has relevant 3 to 7 years of work experience (CSM - 3 to 5 yrs; Sr CSM - 4 to 6 yrs; Lead or Principal CSM - More than 7 yrs)  in a high-touch Customer Success / Strategic Consulting role in a B2B SaaS or Tech Product based company 
• Being an organization that believes in a flat hierarchy, we have only 1 people manager per region for the CS team and everyone else, including those with 15+ yrs of Customer Facing experience add value to the company and its customers in the capacity of an individual contributor 
• Should be open to aligning with the US / EU time zone (5 PM to 2:00 AM / 1 PM to 10 PM IST). Note - The company does provide free lunch + dinner, and a cab drop facility with an additional allowance for the ones working in the US time zone. 
• Showcases exemplary written and verbal communication skills to work along with Global Customers 
• Has worked directly with Large Enterprise Customers in the Americas or European region  
• Has an exceptional ability to communicate and foster positive business relationships
• Demonstrates a deep understanding of customers concerns and thoughts regarding the use of products
• Managed customers across different segments in the past and knows how to manage them differently
• Exhibits a true passion for customers and for Customer Success