Graphic Designer

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

Job Requirements for Java Developer Roles

* Strong hands-on expertise in Java programming.

* In-depth understanding of Java garbage collection mechanisms and their impact on application performance.

* Ability to write clean, efficient, and maintainable code.

* Familiarity with best practices for performance optimization.

* Strong problem-solving skills and attention to detail.

Please note that you will have to attach the following documents after Round 1 that will be needed for the client submission:

1. LWD confirmation
2. PF service history

Mode of work: Hybrid weekly 3 Times.

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

• Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

• Globally present with offices US, India, UK, Australia, Mexico, and Canada.

• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

• Wissen Technology has been certified as a Great Place to Work®.

• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Website : www.wissen.com

Key Responsibilities:

• Identify potential clients through online research, LinkedIn, email campaigns, and other lead generation channels.
• Develop and execute outreach strategies via email, social media, and cold calling (if required).
• Build and maintain a pipeline of qualified leads for the sales team.
• Understand client requirements and promote our services effectively.
• Schedule meetings or demos for the sales team with potential clients.
• Maintain accurate records of leads and follow-ups using CRM tools.
• Collaborate with the marketing team to align lead generation with campaigns and content strategy.

Requirements:

• Strong communication and interpersonal skills.
• Ability to research and identify relevant leads and decision-makers.
• Familiarity with digital services like web design, mobile app development, and SEO.
• Self-motivated with a strong work ethic and target-oriented mindset.
• Basic knowledge of CRM tools (e.g., HubSpot, Zoho, or similar) is a plus.
• Bachelor’s degree in Marketing, Business, IT, or related field preferred.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

We are looking for a dynamic UI/UX designer who will be responsible for the user experience (UX) and user interface (UI) design of our various digital assets. You will ensure that all elements of the online user experience are optimized for improved usability, usefulness, and exceptional visual design. The successful candidate will evidence a passion for delivering adaptive and creative solutions to UI/UX design problems by staying up to date with best practices and emerging trends in user experience design and user interface technology.

UI UX Designer Responsibilities:

• Investigating user experience design requirements for our suite of digital assets.
• Developing and conceptualizing a comprehensive UI/UX design strategy for the brand.
• Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.
• Designing UI elements and tools such as navigation menus, search boxes, tabs, and widgets for our digital assets.
• Testing UI elements such as CTAs, banners, page layouts, page designs, page flows, and target links for landing pages.
• Collaborating with the marketing team, and internal and external designers to ensure the creation and delivery of tailored experiences for the digital user.
• Providing advice and guidance on the implementation of UX research methodologies and testing activities in order to analyze and predict user behavior.
• Adhering to style standards on typography and graphic design.

UI UX Designer Requirements:

• Should have prior knowledge and experience of HTML & CSS mandatorily.
• Working knowledge of the following technologies and software: Sketch, InVision, Visio, iOS, Android, Design Systems, and Adobe Creative Suite.
• A team player but can work independently too.
• Excellent written and verbal communication skills.
• Multi-tasking and time-management skills, with the ability to prioritize tasks.

• Performing market research.
• Gathering and processing research data.
• Assisting with inventory control.
• Organizing staff meetings and updating calendars.
• Processing company receipts, invoices, and bills.
• Assisting and supporting management.
• Review data for deficiencies or errors, correct any incompatibilities if possible and check output
• Research and obtain further information for incomplete documents
• Apply data program techniques and procedures
• Generate reports, store completed work in designated locations and perform backup operations
• Scan documents and print files, when needed
• Keep information confidential

• Work with development teams and product managers to create software solutions.
• Design client-side and server-side architecture.
• Build the front-end of applications.
• Develop and manage well-functioning databases and applications.
• Write effective APIs.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade software.
• Create security and data protection settings.
• Build features and applications with a mobile responsive design.
• Write technical documentation.
• Work with data scientists and analysts to improve the software.

Qualifications:

Degree in Computer Science, Software Engineering or relevant field.
Experience with Java, Spring, and Restful API's.
Experience with Database development (MySQL, Postgres, etc).

Proven experience as a Full Stack Developer or similar role. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, jQuery).
Knowledge of multiple back-end languages (e.g. Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js).
Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design.
Experience with AWS or other cloud environments

Job Description

Primary Skills

• Server Side (Java) & AWS serverless framework.
• Must have hands-on experience on serverless framework.
• Design knowledge/experience of cloud-based web application. Familiarity with software design representation tools like astah, visio etc.
• Must have good experience on AWS (Overall knowledge, EC2 Volume, EC2 Security Group, EC2 AMI, Lambda, S3, AWSbackup, CloudWatch, CloudFormation, CloudTrail, IAM, SecretsManager, StepFunction, CostExplorer, KMS, VPC/Subnet)
• Understanding business requirements w.r.t UI/UX.
• Working experience on development/staging/production servers.
• Good testing and verification skills
• Knowledge on SSL certificates and encryption.
• Knowledge on Docker containerization.

Soft Skills

• Excellent interpersonal, oral and writing communication skills.
• Strong Analytical and Problem-solving skills.
• Should have skills to understand and analyzecustomers requirements and expectations.
• Must have experience in interaction with customer
• Work experiences with international cross-culture teams (Good to have)

Secondary SKills

• Scripting using Python
• Good to have knowledge of identity management
• UI/UX
• Knowledge of ReactJS/typescript/bootstrap
• Understanding business usecases w.r.t UI/UX
• Fixing issues wrt to integration on cloud(front end/back end/system/services APIs)