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M/s. Picsys

Technical Pre-Sales / Discovery EngineerIndustrial AI &amp; Manufacturing IntelligenceLocationBangalore (Primarily Office/Remote with occasional customer visits if required)Employment TypeFull TimeAbout UsWe are an industrial intelligence platform focused on improving manufacturing productivity, operational visibility, and process efficiency using AI-powered vision systems and edge analytics.We work closely with manufacturing companies to build practical, deployable industrial AI solutions across assembly lines, fabrication, machine operations, process monitoring, workforce visibility, and production analytics.We work with industries such as Automotive, Engineering, Fabrication, Heavy Equipment, EV Manufacturing, Textile, and General Manufacturing.Role OverviewWe are looking for a customer-focused Technical Pre-Sales / Discovery Engineer who can engage with prospective customers, understand business challenges, articulate our capabilities, and qualify opportunities.This role will act as the first technical interface between customers and us.The ideal candidate should possess strong communication skills, technical aptitude, and experience working closely with software/product engineering teams. The role primarily involves conducting remote discovery discussions, understanding customer pain points, presenting our capabilities, and preparing opportunities for detailed on-site assessment by the Industrial Solutions team.This is not a field-intensive manufacturing consulting role.Key ResponsibilitiesDiscovery &amp; Qualification<ul><li>Conduct structured discovery calls with prospective customers.</li><li>Understand:</li><li>Customer business overview</li><li>Manufacturing processes at a high level</li><li>Existing challenges and pain points</li><li>Current methods of monitoring and reporting</li><li>Existing digital infrastructure</li><li>Business objectives and expected outcomes</li><li>Qualify opportunities based on:</li><li>Customer fit</li><li>Use-case suitability</li><li>Business impact potential</li><li>Technical feasibility</li></ul>Solution &amp; Capability Presentation<ul><li>Present our platform capabilities to prospective customers.</li><li>Explain:</li><li>Platform architecture</li><li>AI vision capabilities</li><li>Edge deployment architecture</li><li>Dashboards and analytics capabilities</li><li>Deployment methodology</li><li>Integration possibilities</li><li>Demonstrate how we can address customer challenges.</li></ul>Requirement Capture<ul><li>Conduct structured requirement gathering discussions.</li><li>Prepare:</li><li>Meeting Minutes (MOM)</li><li>Discovery Reports</li><li>Opportunity Summaries</li><li>Requirement Documents</li><li>Customer Qualification Reports</li><li>Ensure customer expectations and requirements are accurately documented.</li></ul>Proposal &amp; Commercial Support<ul><li>Support preparation of:</li><li>Solution proposals</li><li>Presentations</li><li>Scope documents</li><li>Pilot proposals</li><li>Coordinate with Founder and Industrial Solutions Consultant during proposal preparation.</li></ul>Internal Coordination<ul><li>Work closely with:</li><li>Founder/CEO</li><li>Industrial Solutions Consultant</li><li>CTO</li><li>AI/ML Team</li><li>Engineering Teams</li><li>TPM / Delivery Manager</li><li>Ensure smooth handover of qualified opportunities for on-site process study and solution definition.</li></ul>CRM &amp; Opportunity Management<ul><li>Maintain opportunity records within CRM systems.</li><li>Track:</li><li>Customer interactions</li><li>Discovery outcomes</li><li>Follow-ups</li><li>Proposal status</li><li>Opportunity progression</li><li>Coordinate follow-up activities with SDR and Founder.</li></ul>Candidate ProfileEducationPreferred:<ul><li>B.E/B.Tech in:</li><li>Computer Science</li><li>Information Science</li><li>Electronics &amp; Communication</li><li>Electrical Engineering</li><li>Instrumentation</li><li>Related technical disciplines</li></ul>Experience2 to 5 years of experience in one or more of the following areas:<ul><li>Technical Pre-Sales</li><li>Solution Consulting</li><li>Sales Engineering</li><li>Customer Success Engineering</li><li>Solution Architecture</li><li>Enterprise Software Consulting</li><li>Industrial Software Solutions</li><li>SaaS/Platform Solutions</li></ul>Experience in startup environments is highly preferred.Technical SkillsStrong understanding of:<ul><li>Software applications and system architectures</li><li>APIs and integrations (basic understanding)</li><li>Cloud and edge computing concepts</li><li>AI/Computer Vision concepts (desirable)</li><li>Industrial AI/IIoT solutions (desirable)</li></ul>Ability to understand and explain:<ul><li>System architecture</li><li>Deployment approaches</li><li>Product capabilities</li><li>Technical workflows</li></ul>Soft Skills<ul><li>Excellent communication and presentation skills</li><li>Strong listening and questioning skills</li><li>Structured and analytical thinking</li><li>Strong documentation skills</li><li>Customer-facing confidence</li><li>Ability to simplify complex technical concepts</li></ul>Preferred ExperienceExposure to one or more of the following will be an advantage:<ul><li>Video analytics solutions</li><li>Industrial software platforms</li><li>IoT solutions</li><li>Enterprise SaaS products</li><li>Manufacturing technology solutions</li><li>Startup environments</li></ul>Key Success Metrics<ul><li>Number of qualified opportunities generated</li><li>Discovery-to-site-study conversion ratio</li><li>Proposal turnaround time</li><li>Requirement completeness and quality</li><li>Customer engagement quality</li><li>Opportunity progression and conversion support</li></ul>What Success Looks LikeWithin 6 months, the candidate should be able to:<ul><li>Independently conduct customer discovery discussions.</li><li>Effectively present our capabilities and architecture.</li><li>Qualify customer opportunities with minimal supervision.</li><li>Prepare complete and structured discovery documentation.</li><li>Enable smooth transition from remote discovery to on-site industrial assessment.</li></ul>Compensation₹4 LPA &ndash; ₹6 LPA (Depending on capability and experience)Performance incentives may be offered based on opportunity conversion and business outcomes.Pay: ₹400,000.00 - ₹600,000.00 per yearWork Location: In person

Technical Pre-Sales / Discovery Engineer

LocationBangalore (Travel to customer manufacturing sites across India)Employment TypeFull TimeAbout UsWe are an industrial intelligence platform focused on improving manufacturing productivity, operational visibility, and process efficiency using AI-powered vision systems and edge analytics.We work closely with manufacturing companies to build practical, deployable industrial AI solutions across assembly lines, fabrication, machine operations, process monitoring, workforce visibility, and production analytics.We work with industries such as Automotive, Engineering, Fabrication, Heavy Equipment, EV Manufacturing, Textile, and General Manufacturing.Role OverviewWe are looking for an Industrial Solutions Consultant / Application Engineer who can bridge the gap between manufacturing operations and technology.The ideal candidate should possess strong manufacturing and industrial engineering knowledge and be capable of studying shop floor processes, identifying operational improvement opportunities, and translating customer requirements into deployable solutions.This is a customer-facing role requiring frequent visits to manufacturing plants.Key ResponsibilitiesCustomer Process Study &amp; Discovery<ul><li>Visit customer manufacturing facilities to understand existing operations and workflows.</li><li>Conduct detailed shopfloor studies to understand:</li><li>Process flow</li><li>Material flow</li><li>Operator activities</li><li>Machine interactions</li><li>Quality checkpoints</li><li>Bottlenecks and losses</li><li>Interact with:</li><li>Plant Heads</li><li>Production Managers</li><li>Manufacturing Engineers</li><li>Industrial Engineers</li><li>Maintenance Teams</li><li>Continuous Improvement Teams</li></ul>Solution Identification &amp; Definition<ul><li>Identify suitable use cases across:</li><li>Assembly lines</li><li>Fabrication shops</li><li>Welding shops</li><li>Machine shops</li><li>Material movement areas</li><li>Manual and semi-automated operations</li><li>Identify opportunities related to:</li><li>Productivity improvement</li><li>Cycle time monitoring</li><li>Throughput analysis</li><li>Operator utilization</li><li>Process adherence</li><li>Bottleneck identification</li><li>Line balancing</li><li>Idle time analysis</li><li>WIP visibility</li><li>SOP compliance</li></ul>Pilot Scope Definition<ul><li>Define pilot scope including:</li><li>Stations/processes to be covered</li><li>Camera requirements</li><li>KPIs to be monitored</li><li>Success criteria</li><li>Acceptance criteria</li><li>Expected business outcomes</li></ul>Functional Requirement Definition<ul><li>Translate customer requirements into structured engineering inputs.</li><li>Prepare:</li><li>Functional Requirement Specifications (FRS)</li><li>Use-case documents</li><li>Process flow diagrams</li><li>KPI definitions</li><li>User stories</li><li>Acceptance criteria</li></ul>Internal Coordination<ul><li>Work closely with:</li><li>Founder</li><li>Technical Pre-Sales Team</li><li>CTO</li><li>AI/ML Team</li><li>Embedded Team</li><li>TPM / Delivery Manager</li><li>Deployment Engineers</li><li>Ensure engineering teams clearly understand customer expectations and intended business outcomes.</li></ul>Pilot Execution &amp; Validation<ul><li>Support pilot deployments and validation activities.</li><li>Validate whether deployed solutions meet customer expectations.</li><li>Gather customer feedback and recommend improvements.</li></ul>Candidate ProfileEducationPreferred:<ul><li>B.E/B.Tech in:</li><li>Mechanical Engineering</li><li>Production Engineering</li><li>Industrial Engineering</li><li>Manufacturing Engineering</li><li>Mechatronics</li></ul>Experience<ul><li>3 to 5 years of relevant experience.</li></ul>Experience in one or more of the following areas:<ul><li>Industrial Engineering</li><li>Manufacturing Engineering</li><li>Production Engineering</li><li>Lean Manufacturing</li><li>Continuous Improvement</li><li>Manufacturing Consulting</li><li>Industrial Automation</li><li>MES/MOM implementation</li><li>Digital Manufacturing initiatives</li></ul>Preferred Industry ExposureExperience in one or more industries:<ul><li>Automotive</li><li>Auto Components</li><li>Heavy Engineering</li><li>EV Manufacturing</li><li>Fabrication &amp; Welding</li><li>Industrial Machinery</li><li>General Manufacturing</li><li>Textile Manufacturing</li></ul>Technical SkillsGood understanding of:<ul><li>Manufacturing processes</li><li>Industrial engineering concepts</li><li>Cycle time studies</li><li>Time &amp; motion studies</li><li>Lean manufacturing concepts</li><li>Line balancing</li><li>OEE and productivity metrics</li><li>Process mapping</li><li>Continuous improvement methodologies</li></ul>Basic understanding of:<ul><li>Industrial automation systems</li><li>Cameras and machine vision systems</li><li>Industrial networking</li><li>AI/Computer Vision applications in manufacturing</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Excellent observation skills</li><li>Structured thinking and documentation capability</li><li>Strong customer interaction skills</li><li>Ability to work independently in factory environments</li><li>Excellent communication and presentation skills</li></ul>Good to Have<ul><li>Exposure to AI/vision-based industrial applications</li><li>Experience in digital transformation initiatives</li><li>Knowledge of MES/MOM systems</li><li>Familiarity with Lean, Six Sigma, Kaizen, or TPM methodologies</li></ul>What Success Looks LikeWithin 6 months, the candidate should be able to:<ul><li>Independently conduct factory studies.</li><li>Identify high-value use cases.</li><li>Define pilot scope and KPIs.</li><li>Translate customer requirements into engineering inputs.</li><li>Become the primary bridge between customer operations and engineering teams.</li></ul>Compensation₹4LPA &ndash; ₹6 LPA (Depending on experience and manufacturing domain expertise)Travel Allowance and Expenses: As per company policy.Pay: ₹400,000.00 - ₹600,000.00 per yearWork Location: In person

Industrial Solutions Consultant / Application Engineer – Manufacturing Solutions

Join M/s. Picsys and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

M/s. Picsys

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Technical Pre-Sales / Discovery Engineer

Industrial Solutions Consultant / Application Engineer – Manufacturing Solutions