SaaS Sales Specialist

Responsibilities:

Design, develop, and maintain high-quality software solutions using programming languages such as Java.

Implement backend services using frameworks like Spring Boot and frontend interfaces using frameworks like React.

 Apply deep knowledge of algorithms and data structures to solve complex problems efficiently.

 Optimize code for performance, scalability, and reliability.

 Work with SQL and NoSQL databases to design, implement, and manage data storage solutions.

 Ensure data integrity and optimize database queries.  Leverage open-source tools and frameworks to develop scalable and maintainable solutions.

 Stay updated on the latest trends in open-source technologies.

 Utilize Linux systems for development and deployment.

 Automate and streamline processes using Linux tools and scripts.

 Develop and maintain mobile applications that align with user requirements and business goals.

 Collaborate with cross-functional teams to ensure seamless integration with backend systems.

 Work closely with product managers, designers, and other engineers to bring ideas to life.

 Participate in code reviews, testing, and debugging to ensure high-quality deliverables.

Qualifications and Skills:

 Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related discipline.

 Strong knowledge of algorithms and data structures.

 Proficiency in at least one programming language, preferably Java.

 Hands-on experience with backend frameworks like Spring Boot and frontend frameworks like React.

 Familiarity with SQL and NoSQL databases.

 Solid understanding of Linux systems and tools.

 Experience developing mobile applications is highly desirable.

 Strong problem-solving skills and ability to work in a fast-paced environment.

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & 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 Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

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)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• 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).

Responsibilities: 

1.                  Lead the strategic planning, development, and launch of Azure integration capabilities within our flagship product ensuring a seamless and efficient integration process. 

2.                  Conduct market research and engage with customers to understand their needs and challenges related to Azure cloud services. 

3.                  Collaborate with engineering, design, and sales teams to define product requirements, roadmaps, and go-to-market strategies for Azure Launch. 

4.                  Deliver actionable product feature requirements and stories with wireframes (hands-on work is required here) 

5.                  Drive feature delivery to customers and conduct feedback loop based improvements. 

6.                  Stay abreast of Azure services and cloud industry trends to ensure our product remains competitive and innovative. 

Required Experience and Skills: 

·                    Bachelor's degree in computer science, Engineering, Business, or a related field. A master's degree or an MBA would be a plus. 

·                    4+ years of experience in a product management role, ideally in a cloud-based product environment. 

·                    Strong understanding of Azure services, cloud computing technologies, and SaaS platforms. 

·                    Experience building features/ solutions in Cloud Management/Cloud Operations in FinOps, SecOps, Cloud IT Ops. 

·                    Experience with Azure Migration, Azure CloudOps configuration, Managed Services is a plus 

·                    Passion for Automation and simplification of complex IT processes 

·                    Proven track record of managing all aspects of a successful product throughout its lifecycle. 

·                    Excellent communication, leadership, and interpersonal skills. 

·                    Ability to work in a fast-paced, dynamic environment and handle multiple tasks simultaneously. 

·                    Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment. 

·                    Excellent written and verbal communication skills, with experience in creating customer-facing technical documentation such as user guides and release notes. 

·                    Comfortable with ambiguity and able to prioritize tasks in a rapidly changing environment. 

·                    Demonstrated success in defining and launching products would be a plus. 

Success Factors: 

·                    You bring curiosity and passion for continuous learning. 

·                    You enjoy ideating, simplifying and solving problems that create value for customers. 

·                    You have an entrepreneurial mindset. 

·                    You bring a growth mindset and value collaborative approach to growing others and yourself. 

·                    You have an ownership mindset to areas you take on, and you are a self-starter that can work independently when needed. 

Your Responsibilities :

• Creating, designing and developing data models
• Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
• Validating results and creating business reports
• Monitoring and tuning data loads and queries
• Develop and prepare a schedule for a new data warehouse
• Analyze large databases and recommend appropriate optimization for the same
• Administer all requirements and design various functional specifications for data
• Provide support to the Software Development Life cycle
• Prepare various code designs and ensure efficient implementation of the same
• Evaluate all codes and ensure the quality of all project deliverables
• Monitor data warehouse work and provide subject matter expertise
• Hands-on BI practices, data structures, data modeling, SQL skills

Hard Skills for a Data Warehouse Developer:

• Hands-on experience with ETL tools e.g., DataStage, Informatica, Pentaho, Talend
• Sound knowledge of https://www.freelancermap.com/it-projects/sql-1084" target="_blank">SQL
• Experience with SQL databases such as Oracle, DB2, and SQL
• Experience using Data Warehouse platforms e.g., SAP, Birst
• Experience designing, developing, and implementing Data Warehouse solutions
• Project management and system development methodology
• Ability to proactively research solutions and best practices

Soft Skills for Data Warehouse Developers:

• Excellent Analytical skills
• Excellent verbal and written communications
• Strong organization skills
• Ability to work on a team, as well as independently