Inside Sales Specialist (SaaS) at Zevi · Bengaluru (Bangalore) · 1 - 2 years · ₹3L - ₹6L / yr · Raised funding · Posted 29 Jan 2024

Job Summary:
We are seeking a motivated and enthusiastic Inside Sales Representative to join our team. The Inside Sales Representative will be responsible for selling our products or services over the phone, email, and other digital channels to potential clients. The ideal candidate should be an excellent communicator, have a strong sales aptitude, and possess the ability to work in a fast-paced environment.
Key Responsibilities:
- Reach out to potential customers via phone, email, and other digital channels to sell our products or services.
- Develop and maintain relationships with customers to build long-term partnerships.
- Conduct research to identify potential customers and understand their needs.
- Explain the features and benefits of our products or services to customers and address any questions or concerns they may have.
- Close sales and achieve weekly and monthly sales targets.
- Collaborate with marketing and sales teams to develop and implement sales strategies and tactics.
- Maintain accurate and up-to-date records of customer interactions and sales activities in our CRM system.
- Participate in regular sales training and stay up-to-date on industry trends and product knowledge.
- Provide exceptional customer service to ensure customer satisfaction.
Qualifications:
- Bachelor's degree in Business Administration, Marketing, or related field preferred.
- Must have worked with SAAS companies selling to the US market
- 2+ years of experience in inside sales or related fields.
- Excellent communication skills, both verbal and written.
- Strong sales aptitude and ability to negotiate effectively.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Familiarity with CRM software and sales tools.
- Goal-oriented and results-driven with a strong focus on achieving targets.
- Ability to work well in a team environment.
- Strong problem-solving skills and ability to think creatively.
- Positive attitude and ability to handle rejection professionally.
We offer a competitive salary package with incentives and opportunities for career growth. If you are a driven and results-oriented individual with a passion for sales, we encourage you to apply for this exciting opportunity.

About Zevi
About
About Zevi:
Zevi is an on-site search engine that is built with it's core around NLP instead of the traditional approach of string matching. This enables Zevi to understand the intent of the user and showcase results accordingly instead of just matching the exact word or their synonym. Zevi also has a vernacular engine which can address complex Hindi-English queries.
We are a team built by Ex-Myntra(Walmart) and Ex-Microsoft people who have worked on search as a problem. Through Zevi we have seen conversion rates jump by 11% and Average order value for new users jump by upto 28%. Zevi enables discovery within your website using best in class AI. Zevi is built ground up using NLP at it's core unlike others who have string matching at their core.
As of now, we are team of 12 people, mostly from IITB, IITK and IIITH. Raised our seed round in December and looking to build the core founding team.
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MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities-
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
- Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
- Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
- Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
- Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
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- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
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Knowledge of API testing and automation.
Experience with SQL for database validation.
Familiarity with Git or other version control systems.
Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI.
Strong understanding of SDLC, STLC, and Agile methodologies.
Excellent debugging, analytical, and problem-solving skills.
Good verbal and written communication skills.
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Experience working in enterprise-scale automation projects.
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Job Title: MLOps Engineer Intern
Company: Aaizel International Technologies Pvt. Ltd.
Location: Gurugram, Haryana (On-site)
Duration: 6 Months (PPO based on performance)
About Aaizeltech
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- Good understanding of Linux, shell scripting, and networking fundamentals.
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- Familiarity with Docker and Kubernetes.
- Understanding of Git and CI/CD concepts.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Basic understanding of machine learning workflows and model deployment.
- Familiarity with REST APIs using Flask, FastAPI, or Django.
- Strong analytical, debugging, and problem-solving skills.
- Good communication and willingness to learn new technologies.
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- Familiarity with Terraform or other Infrastructure as Code tools.
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At SarthhakAI, we’re building bodh scientific™, an AI-driven platform that helps scientists and engineers accelerate R&D- from experiment design to formulation optimization. We work with leading organizations in the field of Chemicals, Life Sciences and Material Sciences to bring AI into real-world scientific workflows.
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We area a growing global technology partner is looking for a skilled React Native Full Stack Mobile Developer to join their Technology and Development team.
If you're eager to showcase your expertise and collaborate with a talented group of engineers, this role is perfect for you!
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