Tars is a Conversational Marketing Platform which enables businesses to increase their conversion rate, generate more qualified leads by using chatbot landing pages and automated customer support. Some of our customers include American Express, Daimler, Vodacom, University of California and they have been using our chatbots for requirements in marketing, customer service, customer onboarding, engagement as well as internal operational aspects.
Till date, our product has enabled over 20,000 creators to build over 35,000 chatbots that have together completed over 50 million conversations.
What's more, we are poised for scale and growth, which is why we need more talent like yourself.
We believe in:
- Building a large profitable business: We envision building a capital-efficient, large, profitable business to achieve our mission. This means less dependence on investors & more ownership with the team. We are one of the few profitable Indian SaaS startups building Value SaaS.
- Employee Wellness <> Customer Success: We give as much importance to each team member’s personal & professional success as much as we care about our customer's success. We believe it’s all about balance.
The Opportunity:
Tars is looking to hire an Account Executive to close new sales. In this role, your goal is to help:
- Marketers get better ROI in their campaigns
- Help customer support teams deliver a better experience with automation
You will be handed sales qualified leads that are generated through various inbound & outbound channels, and you will be responsible for handling that relationship until they sign a contract. Once they sign a contract, customer success will take over and help them succeed.
Our ideal candidate is confident, can communicate clearly, and has a passion for sales.
Please be aware that the market you will be selling into in this position currently will be the US. So you are expected to work during US EST hours.
Responsibilities:
- KPIs - Number of new deals closed, $ revenue added, opportunity to closed-won conversion rate.
- Follow a solution selling approach to understand the challenges customer is looking to solve and helping them realise why our product is the solution for them.
- Handle product demos for sales qualified leads - Show them how Tars can solve their challenges and achieve their goals. You’ll also present pricing, according to their requirements.
- Handle all further conversations from product questions to contract negotiations after an opportunity is created to eventually close the deal and handover to customer success team.
- Prioritize and consistently nurture all the leads in your pipeline with high quality followups.
- You will be supported by the rest of the team whenever you need assistance. Eg: if there are deep technical questions, an engineer can join the call with you. If there are questions about the product roadmap, a product manager will join the call. If you need help with negotiating a contract, the CEO will join the call with you.
- Identify insights and pain points from conversations with prospects, and contribute to the product roadmap by providing active feedback to the product team.
Requirements
Skills & Experience:
- Excellent written and verbal business communication skills.
- Experience in SaaS sales, to the US geography is a bonus.
Ability to learn quickly. Eg: learn the product, learn solution selling methodology, etc.
Personality traits:
- Fun & confident personality. Someone who loves to meet new people and build relationships.
- Pays great attention to detail, loves taking notes and maintains discipline with CRM.
- Highly motivated to work at a scaling startup.
What will a typical quarter look like?
- By the beginning of the quarter we’ll come up with the targets for the quarter, in terms of number of new deals closed, and $ revenue added.
- Based on the targets, you will prioritize the right leads to maximize your pipeline and close more revenue.
- You will participate in weekly deal reviews to discuss and get tactical advice to drive closure.
- In the last two weeks of the quarter we’ll start working on goals for the next quarter.
What will make you successful in this role?
- First and foremost, you need to be good at building rapport with prospects. Relationship building is very critical to be successful as a salesperson in this market. They need to first trust you before buying anything from you.
- You need to get really good at solution selling. Our product is not a commodity with simple features. You need to be able to connect the customer’s needs, don the consultant’s hat, and provide the right solution to them. That’s half the sale. You need to develop a good enough understanding of the product and the market to be effective at this.
- You need patience but you need to be proactive in nurturing the prospect to succeed in this role.
- You need to be resilient, be ready to face rejections and still keep going. Without an intrinsic motivation to perform well and constantly improve, this is a hard job. It will take time to succeed.
- You need to be disciplined and good at multi tasking. When you have many leads in your pipeline at any time, prioritization & context switching become critical skills. Otherwise, it’s easy to get overwhelmed.
How will we set you up for success in this role?
- We will provide you with detailed training to give you a head start. We’ll also talk about the competitive landscape, provide you access to hundreds of recorded conversations, and existing marketing materials. Our CRM is a treasure trove :)
- We will provide you an in-depth training into our product along with sandbox access to let you play around. The focus is for you to figure out how each piece helps toward solving the puzzle for customers.
- We’ll walk you through our current sales playbook and sales enablement materials. We’ll also do a deep dive on competitors and handling other objections, along with role plays to get you prepared.
- During the first 4 weeks, you will be invited to shadow plenty of sales calls just to listen in and understand how we go about sales currently. We believe everybody will learn different things from this process but it has worked very effectively in the past.
- We have a weekly 30 min standup for marketing, SDRs, and AEs to sync up along with the CEO. It ensures we are all aligned and understand the priorities. You will have a quarterly 1:1 review with the CEO to discuss your career goals and overall success, apart from regular mentoring.
- We will provide you access to the best SaaS sales resources and add you to a few SaaS sales communities so you can discuss with other people in similar roles - learn and teach at the same time. We’ve found that this is the fastest way to improve your skills.
- Most importantly, we will help you setup a one-on-one casual chat with every member of the Tars team so you get to know everyone well.
Why should you join Tars?
SaaS is set to explode in India and Inside Sales is one of the most critical functions for any growing SaaS company. Over the years we have developed some of the best practices in inside sales. In this role, you will get to learn a lot and become a highly skilled salesperson. At the same time, the team is still small enough for you to change how things are done and have an outsized impact.
Benefits
This is what our team members enjoy the most about Tars:
- Freedom & Responsibility: If you are a person who wants to take up challenging work & push your personal boundaries, then this is the right place for you.
- Great Salary & Equity: For our top performers and leaders, we grant stock options. As Tars continues to grow, you’ll have a real opportunity to create wealth for yourself and your family. We'll ensure you are financially well-off in the end.
- Transparency: If you ever wanted to know what it’s like to be on an entrepreneurial journey, then working with Tars gives you that opportunity to experience it all first hand.
- Remote-work friendly: Allowances to setup workspace at home and recurring allowances to make you happier and more productive.
If all of this sounds exciting to you, join us for an exciting and fulfilling ride at Tars!
Shubham Vishwakarma
Full Stack Developer - Averlon
About Tars
About
Bot by bot, we’re reimagining the world’s best conversations💬 We envision a world of no boring forms. Where conversation and tech bring people together, instead of apart. We see future conversational-driven and it starts with you...👩💻 👨💻
We ensure a diverse and inclusive workplace where we learn from each other is core to TARS’ values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and an awesome and supportive place to work.
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Location: Remote
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We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.
Why This Role Matters
Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.
This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.
What You Will Do
Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.
Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.
Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.
Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.
Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.
Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.
Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.
What We Are Looking For
- 6+ years building and operating production ML systems, not prototypes or research work
- Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
- Production experience with gradient boosting models (LightGBM, XGBoost)
- Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
- Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
- Experience applying business rules, policy overrides, or constraint layers on top of model outputs
- Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
- Technical leadership: design docs, code review, roadmap input, mentoring
- Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
- Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch
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- Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
- Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
- Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
- Exposure to structured data from telecoms, financial services, or retail sectors
- Prior work owning a decisioning or ranking system as the technical lead
Life at Terrabase
We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.
Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.
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- Social Media Covers
- Presentations
- E-Books
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- Less of a copy cat but more of a cool cat
- Less of Gyan/ talks and more of hand-on experience
- High on power of observation and story visualisation. Someone who sees art/design in everything around
- Understanding of disruptive themes, art work and agency level brand centric manifestations
- Nothing less than global standards while working on any creative/ viral marketing areas
- Known to deliver cool work rather than keeping cool looks only
- Understanding of graphics / design tools at a professional level
- Hand on experience – Photoshop, Corel, Illustrator with brain of his/her own
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AngularJS (1.x)🚀 Exciting Opportunity for Dot Net Developer in Gurgaon! Join Our Dynamic Team!
Hello,
I hope this message finds you well! We are currently on the lookout for a talented and experienced Dot Net Developer to join our team in Gurgaon. If you are passionate about backend development, have a strong command over technologies like C#, .NET Core, and API Gateways, and boast 5+ years of relevant experience, we want to hear from you! Immediate joiners are preferred.
🌟 Key Skills:
- Dot Net Core
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- C#
🚀 Job Details:
- Role: Dot Net Developer
- Experience: 5+ Years
- Location: Gurgaon
- Availability: Immediate joiners
Responsibilities:
As a Dot Net Developer at our organization, you will:
- Utilize 5+ years of backend development expertise to deliver high-quality solutions.
- Showcase proficiency in C#, .NET Core, and API Gateways to build scalable and efficient applications.
- Navigate technologies like REST, OAuth, Rabbit MQ, and the Microsoft ecosystem with ease.
- Manage databases such as Oracle, SQL lite, PostgreSQL, etc. ensuring optimal performance.
- Demonstrate expertise in microservices architecture, and any experience with Azure cloud is a significant advantage.
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- Collaborate effectively with cross-functional teams, fostering a culture of innovation and continuous improvement.
If you are ready to take on new challenges and contribute to cutting-edge projects, we want to hear from you!
Join us on this exciting journey of innovation and growth. Your skills are the missing piece to our puzzle!
#DotNetDeveloper #JobOpportunity #TechInGurgaon #JoinOurTeam #InnovationInTech #DotNetCore #APIDevelopment #CSharp #BackendDevelopment
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React.jsAngular (2+)Job description
Role : Java Developer
Experience: 5+ years
Work Location: Bangalore (Work From Office )
Requirements:
Hands-on experience in Java/J2EE technologies in developing Web, Distributed Enterprise and Interoperable Applications.
Expert level programming skills in Java OOPS concepts.
Expertise in Spring boot ,Microservices
Experience in using and developing RESTful APIs using JAX RS, Spring Rest using JSON and XML.
Good to have Experience in developing SOAP API using JAX WS with (XML, XSD, DTD, WSDL).
Good to have knowledge in Struts (Struts 1.0, JSP, JavaScript, jQuery, AJAX, Servlets)
Prior hands-on experience & Knowledge in Docker & Kubernetes, Microservice Architecture (developing applications on cloud platforms)
Good experience and understanding in Caching, Distributed/Scalable Architecture.
Expertise in using GOF Design Patterns, Data Structures & Algorithms and reactive programming technologies
Experience in Unit Testing Frameworks.
Must have Degree in Computer Science or equivalent
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Machine Learning (ML)Data ScienceAbout Us
Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.
With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.
Job Brief
We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.
Credibility:
- You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
- You have the ability to directly connect business problems to research problems along with the latest emerging technologies.
Strategic Responsibility:
- To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc.
- To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
- To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
- To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
- To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
- To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
- To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
- To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.
Personality:
- Requires excellent communication skills – written, verbal, and presentation.
- You should be a team player.
- You should be positive towards problem-solving and have a very structured thought process to solve problems.
- You should be agile enough to learn new technology if needed.
Qualifications:
- B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
- 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
- Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
- Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
- Working knowledge of Amazon Web Services(AWS).
- Experience with Docker and Kubernetes will be a plus.
- Experience with Natural Language Processing, Recommendation Systems, or Search Engines.
Our Culture
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.
Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.
To know more about us, feel free to go through these videos:
1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&;t=6s
2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY
3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s
To view more videos, please access the below-mentioned link:
https://www.youtube.com/c/mindtickle/videos
Mindtickle is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.
Vue.jsAngularJS (1.x)Angular (2+)React.jsJavascriptWHAT WE'RE LOOKING FOR
- Bachelors or master’s in software engineering, Computer Science or other relevant disciplines
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- Strong Knowledge in Python v3.x Language
- Experience in REST APIs with JSON
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Docker
KubernetesMandatory:
● A minimum of 1 year of development, system design or engineering experience ●
Excellent social, communication, and technical skills
● In-depth knowledge of Linux systems
● Development experience in at least two of the following languages: Php, Go, Python,
JavaScript, C/C++, Bash
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● Self-starter that enjoys and takes pride in the engineering work of their team ● Tried
and Tested Real-world Cloud Computing experience - AWS/ GCP/ Azure ● Strong
Understanding of Resilient Systems design
● Experience in Network Design and Management
Data Science
R ProgrammingPython
Deep Learning- Adept at Machine learning techniques and algorithms.
Feature selection, dimensionality reduction, building and
- optimizing classifiers using machine learning techniques
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Creating automated anomaly detection systems and constant tracking
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- Strong in Data Analysis and mining is a must
- Deep Learning, Neural Network, CNN, Image Processing (Must)
Building analytic systems - data collection, cleansing and
- integration
Experience with NoSQL databases, such as Couchbase, MongoDB,
Cassandra, HBase
Partner with product and UX peers to create beautiful consumer experiences that are consistent with the brand's identity and promise.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon