Solutions Engineer

About Copado

Copado is the leading DevOps platform for Salesforce, revolutionizing how the world's largest organizations achieve success in their Salesforce deployments. Our mission is to accelerate the Salesforce development lifecycle, support digital transformation, and deliver unparalleled value to our customers. We continuously innovate, ensuring our platform meets the evolving needs of Salesforce developers and operations professionals.

Job Summary

As a Sales Engineer for Copado, you will be responsible for educating customers during the sales cycle, including creating and delivering tailored software demos and architecture presentations.

Key Responsibilities

• Pre-sales support, collaborating with Account Executives on sales opportunities, Solution presentations and demonstrations, including answering technology-related inquiries
• Bid management & RFx responses: Support the completion of RFPs, RFIs, RFQs, and security questionnaires by providing accurate technical responses and solution documentation. Collaborate with internal teams to ensure high-quality submissions.
• Solution workshops, trials, and proofs of concept (POC): Lead technical workshops, product evaluations, and proof-of-concept engagements to validate solution fit and demonstrate business value. Guide customers through successful trial experiences.
• Solution design: Design high-level solution architectures and recommend best practices aligned with customer environments and objectives. Ensure proposed solutions are scalable, secure, and aligned with industry standards.
• Partner support: Provide technical guidance and product expertise to partners during customer engagements and joint sales opportunities. Support partner enablement through demonstrations and solution workshops.
• Marketing event support: Represent Copado at webinars, industry events, conferences, and customer workshops. Deliver product demonstrations and technical presentations to increase market awareness and customer engagement.
• Assist in sales strategy and building customer relationships: Contribute to account strategy by identifying customer challenges, technical opportunities, and growth potential. Build strong relationships with key stakeholders and serve as a trusted technical advisor throughout the sales process.

Requirements

• Minimum 3 years relevant business and technology experience
• Experience with implementing Salesforce and/or Salesforce Certification(s)
• Ability to lead technical presentations, engage the audience, and communicate value
• Demonstrated proficiency in business application design and technology
• Excellent written, verbal, and interpersonal skills
• Energetic self-starter with the ability to work independently
• Willingness to travel to industry events and onsite customer meetings

Qualifications & Experience

• Experience working with Copado
• Technical experience with building solutions on the Salesforce platform
• DevOps experience in the Salesforce space or with other technology stacks
• Prior experience in software pre-sales, consulting, or development
• Experience with the SDLC and Release Management
• Prior experience with data integration projects and data privacy requirements

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

Job Detail 

MSA Instruments is hiring Sales Engineers / Executives for business development and account management across Eastern India. As an Authorised Channel Partner for Siemens and Honeywell, we welcome both engineering graduates and commercially driven non-engineers who excel at field sales. If you have a passion for traveling, meeting factory clients, and closing business deals, we encourage you to apply.

Key Responsibilities & Duties

1. Managing Existing Customers

• Maintain Regular Contact: Keep in touch with our current factory clients, maintenance managers, and purchase teams through phone calls, messages, and regular site visits.
• Secure Repeat Orders: Check on their current inventory to secure recurring orders for replacement parts, upgrade tools, and consumables.
• Introduce Expanded Solutions: Show our current clients products that can further improve their factory efficiency or plant safety.

2. Bringing in New Customers

• Find New Buyers: Explore industrial zones to spot new manufacturing plants, upcoming factory setups, or workshops that need our systems.
• Make First Connections: Walk into, Email or Call new factories, to introduce our company’s product range, and connect with the right decision-makers (like Plant Heads or Purchase Officers).

3. Sales Strategy, Traveling, Deals & Deliveries

• Plan & Strategize: Plan your weekly and monthly sales schedule to ensure maximum territory coverage.
• Field Traveling: Frequently travel within your assigned industrial region to meet clients face-to-face and build strong field relationships.
• Conduct Product Demonstration Sessions: Organise online / offline product demo sessions for existing and / or new / potential customers.
• Create Price Quotations: Review what the customer needs and prepare clear, accurate price offers with support from the Inside Sales Team.
• Negotiate & Close Orders: Discuss discounts, payment terms, and delivery schedules with clients to finalize profitable sales orders.
• Coordinate Deliveries & Payments: Work with our logistics team to ensure items are delivered safely on time, and assist in completing the loop by helping the Accounts Receivable team in payment collection.

4. Customer Support & Problem Resolution

• Handle Product Issues: Act as the first point of contact if a client faces a problem with a delivered item or system.
• Resolve Conflicts Smoothly: Listen patiently to customer complaints regarding delays, wrong parts, or technical glitches, and coordinate with our the relevant OEM’s technical team to have the issue resolved quickly.
• Provide Basic Post-Sale Support: Ensure the client is satisfied with how the product is working and maintain a high level of customer trust.

5. Reporting & Updates

• Daily Sales Logging: Maintain a simple, clear record of your daily calls, client visits, and pending deals.
• Provide Progress Reports: Share regular weekly or monthly sales updates and field feedback with your manager

6. Market Awareness

• Understand the Market Landscape: Observe general industry preferences and note alternative instrumentation or automation setups commonly used across the territory.
• Track Industry Trends: Stay updated on standard market pricing, alternative product features, and common customer preferences in the region.

Key Skills Required for the Role

Part A: For Candidates WITH an Engineering Degree (Technical & Sales Skills)

Qualification: B.E. / B. Tech - (Instrumentation / Electronics / Electrical / Mechanical)

Technical Product Knowledge: Process Instrumentation, Industrial Automation, PLC, SCADA, VFD, Gas Detection Systems, Transmitters, Control Valves.

Engineering Tools & Data: Reading Engineering Drawings, Technical Datasheets, P&ID Diagrams, Technical Compliance, Tender Specifications.

Sales & Solution Design: Technical Sales, Engineering Sales, B2B Industrial Sales, Solution Pitching, ROI Calculation, Product Demonstration.

Part B: For Candidates WITHOUT an Engineering Degree (Commercial & Relationship Skills)

Qualification: B.Sc., B.A, B.Com, Diploma – (Instrumentation, Electronics & Telecommunication, Electrical)

Field Sales & Business Development: B2B Sales, Industrial Sales, Field Sales, Territory Mapping, Lead Generation, Cold Calling, Corporate Sales.

Account Management: Client Relationship Management, Customer Retention

Commercial Operations: Tender Process, GeM, Price Estimation, Commercial Quotations, Pricing Strategy, Contract Negotiation..

Presales Engineer – Cloud & AI — Comprinno, Bangalore (3–5 yrs experience)

Role: Bridges Sales, Solution Architects, Data & AI, and Delivery teams — shaping technical solutions, driving discovery conversations, and translating customer needs into cloud/AI architectures.

Core responsibilities:

• Customer discovery workshops, cloud assessments, and migration readiness evaluations
• Cloud transformation consulting (migration, modernization, DevOps, security, DR) using AWS frameworks (MAP, WAFR, FTR)
• AI/GenAI solution consulting — identifying use cases for GenAI, AI Assistants, Agentic AI, conversational AI
• Building technical proposals, architecture diagrams, SOWs, RFP/RFI responses
• Supporting PoCs, demos, and technical validations
• Customer-facing engagement, thought leadership (blogs, webinars, case studies)
• Maintaining reusable presales assets and knowledge repositories
• Travel for customer meetings/workshops as needed

Must-have qualifications:

• Bachelor's in CS/IT/Engineering or related
• Strong AWS knowledge (compute, networking, storage, security, databases)
• Kubernetes, containerization, cloud-native architecture, DevOps, IaC (Terraform/CloudFormation)
• GenAI concepts: LLMs, prompt engineering, RAG, AI assistants, Agentic AI
• Familiarity with Bedrock, SageMaker, Amazon Q; LangChain, LangGraph, CrewAI, OpenAI/Anthropic APIs
• AWS Solutions Architect – Associate Certification (mandatory)
• Strong communication/stakeholder management

Nice-to-have: AWS specialty certs (Security, ML, Networking, DevOps Pro), compliance knowledge (ISO 27001, SOC 2, HIPAA), MBA, published thought leadership.

Job Title: Sales Engineer

We are hiring a Sales Engineer to drive business growth by promoting and selling engineering products and technical solutions to industrial and commercial clients. The ideal candidate will combine technical knowledge with strong sales and relationship-building skills to understand customer requirements and recommend suitable solutions.

Key Responsibilities:

• Identify and develop new business opportunities through field visits and client meetings.
• Promote engineering products and provide technical product demonstrations.
• Understand customer requirements and prepare quotations and proposals.
• Negotiate contracts and close sales while ensuring customer satisfaction.
• Build and maintain long-term relationships with customers and channel partners.
• Coordinate with internal teams for order execution and after-sales support.
• Maintain accurate sales reports, customer records, and market feedback.
• Achieve assigned sales targets and contribute to business growth.

Requirements:

• Bachelor's degree in Mechanical, Electrical, Civil, Instrumentation Engineering, or a related field.
• 2–5 years of experience in technical or engineering sales (freshers with relevant technical knowledge may also apply).
• Strong communication, negotiation, and presentation skills.
• Ability to read technical drawings and specifications.
• Proficiency in MS Office and CRM software.
• Valid driving license and willingness to travel extensively for business development. 

Location: Ahmedabad

Experience: 2 to 5 years

Employment Type: Permanent

Payroll: On company payroll

Bond: No bond applicable

Benefits

• Health Insurance (₹3 Lakhs sum insured)
• Accident Insurance (₹50 Lakhs sum insured)
• Provident Fund (PF)
• Travel Allowances
• 5 working days per week

Role Purpose

• Drive ambitious sales growth in assigned territory
• Business development in focus markets
• Secure product specification and approvals with institutions and OEMs

Key Responsibilities

• Develop strong understanding of adhesive product technologies and applications
• Build relationships with decision‑makers at large manufacturers
• Maintain a healthy project pipeline to support business growth
• Travel extensively within assigned territory (up to 90%)
• Meet prospective clients daily, assess needs, and recommend solutions
• Submit timely sales reports and adhere to deadlines

Screening Criteria

• Education: Mechanical Engineering (B.E.) OR 12th + Diploma in Mechanical
• Experience: 2–5 years in sales + application engineering
• Stability: No frequent job switches
• Skills: Strong technical knowledge, ability to provide solutions to client problems, pre‑sales consultation, troubleshooting

Title: Application Engineer (Technical Sales)

Experience: 2 – 5 Years

Location: Ahmedabad / Pune / Chennai / Delhi NCR

Job Type: Full-time

🚀 About the Role

We are looking for a dynamic Application Engineer with strong technical and client-facing skills. The role involves pre-sales, technical consultation, and business development across industrial/mechanical product segments.

🎯 Key Responsibilities

• Provide pre-sales support and technical consultation to clients
• Understand customer requirements and recommend suitable solutions
• Conduct product demonstrations and technical presentations
• Build strong relationships with OEMs, manufacturers & key stakeholders
• Generate and manage sales pipeline within assigned territory
• Travel extensively to meet clients and drive business growth
• Coordinate with internal teams for smooth execution

🛠️ Skills Required

• Technical Sales / Sales Engineering
• Pre-Sales / Solution Consulting
• Product Demonstration
• Client Interaction & Relationship Management
• Technical Support & Troubleshooting

🎓 Eligibility

• B.E. / B.Tech in Mechanical (preferred)
• 2–5 years of experience in Application Engineering / Sales Engineering
• Exposure to industrial products / adhesives / manufacturing solutions

⭐ Good to Have

• Experience working with OEMs / B2B clients
• Strong communication & presentation skills
• Willingness to travel (field role)

💡 Why Join?

• Opportunity to work in a client-facing technical role
• High exposure to industrial & manufacturing clients
• Growth in technical + sales career path

Develop a deep understanding of adhesive product technologies and applications.  Develop strong business relationships with key decision-makers and influencers at large manufacturers.  Develop a healthy project pipeline to propel the business growth.  Travelling regularly within the assigned territory.  Meeting prospective clients daily, understanding their needs, and recommending right solutions.  Timely submissions of sales reports. Prospective candidate must respect and adhere to deadlines.

Comprinno is conducting an in person drive in Bangalore and calling Account Executives

Comprinno, a leading AWS consulting partner in the APJ region, is conducting an in-person hiring drive in Bangalore on 8th August 2026 and is calling out to Account Executives ready to grow with us. Join us at an exciting growth phase and accelerate your career while helping India's fastest-growing startups scale on the cloud.

Experience: 4 to 10 years

Location: Bangalore

What we're looking for:

• Experience in B2B tech, cloud, DevOps, managed services, data analytics, AI/GenAI, or SaaS sales
• Strong understanding of India's startup ecosystem
• Proven ability to engage founders, CTOs, and senior technology stakeholders
• Consultative selling skills with full sales-cycle ownership
• Strong CRM discipline and forecasting accuracy

Principal Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.