
About us
Wednesday is an engineering services company. We provide services in Data Engineering, Generative and applied AI, and Application Modernization. We partner with mid-sized companies and enterprises to solve their most ambitious engineering challenges. Over the years, we have worked with organizations that have become household names in Southeast Asia. Our customers include startups, unicorns, and enterprises.
We are a group of makers - designers, developers, and project managers. We care about our work and think of it as a craft. We love working with ambitious entrepreneurs and help them realize their business goals.
Our engineering philosophy is to be practical. We have deep expertise in data engineering, cloud-native technologies, and mobile application development. We love to work on complex problems and use our expertise to create long-term frameworks that yield business results.
Job Description
As a Go developer, you will be responsible to manage the exchange of data between users and servers. You will be responsible for writing server-side logic, database definitions and ensuring high performance to requests from our front end.
Core Requirements:
- Participate in daily standups, weekly demos, and scrum planning sessions.
- Participate in code reviews.
- Write unit and integration tests.
- Follow git-flow as a continuous software development practice.
- Should have a figure-it-out attitude and should be able to build features by referencing documentation.
- Good understanding of design principles behind scalable applications
Skills Required:
- Knowledge of Go frameworks such as gin or echo.
- Knowledge of testing in Go.
- Good understanding of goroutines.
- Ability to create database schemas that represent and support business needs.
- Good understanding of databases, both SQL and NoSQL.
Benefits
- Mentorship: Work next to some of the best engineers and designers.
- Freedom: An environment where you get to practice your craft. No micromanagement.
- Comprehensive healthcare: Healthcare for you and your family.
- Growth: A tailor-made program to help you achieve your career goals.
- A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

About Wednesday Solutions
About
Our portfolio? It's on your phone.
Wednesday works with digital-first businesses, helping them solve some of their most challenging engineering problems.
We are known for our work in these areas:
- Data Engineering: Using DataOps principles, we build data pipelines that are cost-effective, performant, and allow you to make strategic decisions.
- Generative & Applied AI: We use large language models and your proprietary data to build data-centric intelligent apps for your customers.
- App Development: We use our expertise in strategy, product development & design to build web, mobile, TV & IoT Applications.
We offer our expertise through these services:
- Launch -> https://www.wednesday.is/servicing/launch
- Catalyse -> https://www.wednesday.is/servicing/catalyse
- Amplify -> https://www.wednesday.is/servicing/amplify
- Control -> https://www.wednesday.is/servicing/control
Connect with the team
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Position Title: Account Executive- 3 Positions (SaaS – US Market) Experience Level: 5–8 Years Industry: B2B SaaS Sales Segment: Small & Medium Businesses (SMB) Market: United States Employment Type: Full-time Location: Bangalore, work from the office Key Responsibilities Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers Handle inbound and outbound leads, including cold outreach Conduct product demos, discovery calls, and negotiations Build and manage a healthy sales pipeline and accurate forecasts Consistently achieve or exceed monthly and quarterly quotas Maintain accurate CRM records and sales activity tracking Required Qualifications 3–8 years of experience as an Account Executive in B2B SaaS Strong experience selling to SMB customers (not enterprise-only profiles) Direct exposure to selling in the U.S. market Proven track record of quota achievement Excellent communication, negotiation, and closing skills Hands-on experience with CRM tools such as HubSpot Strong understanding of U.S. buyer behavior and SMB needs Preferred Qualifications Experience in fast-paced SaaS startups or growth-stage companies Familiarity with high-volume deal environments ($5k–$100k ARR) Strong consultative selling approach Strong understanding of U.S. buyer behavior and SMB needs
Job Title: Coordinator – Customer Care (US Voice Process)
Experience: 1 – 4 Years
Batch Start Date: 20th October 2025
Job Responsibilities
- Handle loan-related customer inquiries over toll-free numbers (pre-foreclosure to delinquent accounts).
- Follow up with customers when payment commitments are not met.
- Accurately log borrower contacts into the loan servicing system.
- Provide long-term resolutions to resolve delinquency.
- Use autodialing systems effectively to maximize contact ratios.
- Ensure daily prescribed contact targets are met.
- Stay familiar with customer relations functions and services offered.
- Perform other duties as assigned by the department manager.
Education & Experience
- Strong customer service and communication skills (English fluency required).
- Graduate preferred; Undergraduates must have at least 6 months call center experience.
- Prior knowledge of mortgage loan servicing is desirable but not mandatory.
- Minimum 1 year of international voice process experience.
Work Schedule / Requirements
- Must be willing to work in US shift timings.
- Immediate joiners preferred.
Nice to Have
- More than 1 year of international voice process experience.
- Good understanding of KPI’s & KRA’s in a call center.
- Strong interpersonal and customer-handling skills.
Compensation & Benefits
- Attractive variable pay – employees have earned on average ₹20,000/month last year.
- This is not a Sales, Collection, Marketing, or Insurance process – variable pay is purely based on individual performance.
We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.
Responsibilities:
- Data Analysis and Exploration:
- Collect, clean, and preprocess large datasets from various sources.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies.
- Visualize data using appropriate tools and techniques to communicate findings effectively.
- Machine Learning and Modeling:
- Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
- Evaluate model performance and optimize algorithms for accuracy and efficiency.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
- Statistical Analysis:
- Perform statistical hypothesis testing and A/B testing to validate findings.
- Apply statistical methods to analyze data and draw meaningful conclusions.
- Develop statistical models to forecast future trends and outcomes.
- Data Visualization and Reporting:
- Create compelling visualizations and dashboards to present data insights to stakeholders.
- Prepare clear and concise reports summarizing findings and recommendations.
- Effectively communicate complex data concepts to non-technical audiences.
- Collaboration and Communication:
- Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
- Present findings and recommendations to stakeholders at all levels of the organization.
- Contribute to the development of data-driven strategies and initiatives.
Responsibilities:
• The ideal candidate must have experience as an end-to-end for both IT and Non-IT.
• Should have good technical knowledge.
• Responsible for end-to-end hiring: Sourcing, interviewing, salary negotiation, and closing
• Candidates for assigned requisitions.
• Must have good experience in hiring Candidates.
• Should have experience in using job portals (Naukri, LinkedIn, Monster, etc) and other
• open-source platforms and have a good pipeline of passive candidates.
• Ability to work independently and multi-task in a fast-paced environment.
• Ability to communicate effectively with candidates and hiring managers.
• Maintaining an internal database of candidates as per their skill sets.
• Excellent sourcing skills.
Qualifications:
• Proven experience as an HR recruiter.
• Proficiency in English.
• Familiarity with Applicant Tracking Systems and resume databases.
• Experience with sourcing techniques.
• Self-motivated with a results-driven approach.
- 3+ years of experience with LAMP stack: Linux, Apache, MySQL, PHP
- 3+ years of experience with web APIs: REST
- AWS Experience would be great to have.
- Java/Python experience will be a Plus.
- Good Communication Skills.
1. Work on lead identification and conversion.
2. Talk to influencers and decision-makers involved in procuring IT/software development services.
3. Qualify prospects and identify potential opportunities.
4. Coordinate with the technical team to schedule pre-sales discussion & ensure smooth communication between prospect, sales team.
5. Work on handling the up-level lead generation.
6. Work on setting up the pipeline and driving the revenue growth.
7. Research, prospect, and build a targeted client base for business development.
8. Set up online demo meetings and face to face meetings.
9. Follow-up with prospects identified as potential clients and who have shown interest to use our services.
10. Serve as the first in-depth point of contact to customers.
11. Make outbound cold calls to the targeted list of prospects.
12. Provide product information to prospective customers.
13. Develop an active sales pipeline of qualified prospects.
14. Work on customer onboarding, client support, nurturing and success.
Candidate should have:
1. Good communication skills (spoken and written).
2. Persuasion and people skills to engage clients and customers.
3. Data mining experience using LinkedIn, Google, etc.
4. IT solution/IT sales/mobility/pre-sales/outbound(software sales)/business development/key account management exposure/analytics sales experience.
Establish Customer Support Practices
Customer Success Managers are responsible for creating policies and procedures that optimize the customer experience. Customer Success Managers may gather feedback from their customers, study other customer success programs, and analyze customer data to identify the best practices. The Customer Success Manager must establish policies the entire staff can adhere to so all customers receive the same quality of service.
Provide Technical and Product Support
Customer Success Managers must know the company’s products inside and out. They are often called upon to provide technical support to customers or to provide training on their products. They may even help customers plan and understand the best ways to utilize their software or products based on the customer’s business needs or business plans. The Customer Success Manager is not focused on making sales, rather on educating their customers on the flexibility and capabilities of their software so customers are encouraged to continue using their services.
Tech Stack:
Golang, Microservices (AWS ECS, App Mesh), Ruby, Rails, MySQL, Postgres, Redis, NATS.
Required Skills:
- 5+ years of experience with Ruby on Rails OR 2+ years of experience with Golang.
- 5+ years of experience with MySQL or Postgres and relational data modelling.
- Experience consuming and writing REST APIs.
- Focus on writing clear, maintainable, tested code.
- Experience with Git, continuous integration and regular deployments.
- Experience with complex Rails projects and design principles.
- Strong willingness to learn and use Golang at work.
- Experience with CI (continuous integration).
- Strong understanding of Linux.
- Strong understanding of Docker.
- You must be a strong communicator who can explain complex ideas to anyone regardless of background.
Preferred Skills:
- 2+ years of experience with Golang.
- Experience with Microservices deployed in Kubernetes.
- Experience with AWS ECS, App Mesh and Lambda.
- Ability and interest in mentoring junior engineers a plus.
- Excellent written communication skills and diligent ability to contribute to the team by performing code reviews.
- B.S. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience








