Software Product Management Pre Sales Senior Manager- Pre Sales - Manufacturing Software

Accenture•Miami, FL

4d•$112,900 - $271,000

About The Position

Accenture is seeking a Senior Manager, Pre-Sales to support complex enterprise software sales cycles, with a focus on manufacturing software. The role combines product expertise and client-facing solution consulting to help convert pipeline opportunities across direct client engagements, partner-supported sales, and industry events. The position supports discovery, product demonstrations, requirements responses, solution scoping, proposals, workshops, and proof-of-concept engagements. It also develops reusable pre-sales assets, enables partners and team members, tracks pre-sales activity, and applies win/loss feedback to improve sales effectiveness. The role requires a deep understanding of manufacturing operations technology and OT/IT integration, including MES, quality management, condition monitoring, OEE monitoring, ISA-95, OPC-UA, MQTT, historians, PLC/SCADA data, Azure IoT Operations, and Microsoft Fabric. The person will design and present agentic AI platform solutions integrated with systems such as ERP, CMMS, PLM, and WMS, and demonstrate manufacturing AI use cases such as downtime response, quality deviation, and shift handover. The role also involves addressing industrial cybersecurity concerns, scoping and conducting manufacturing AI proofs of concept, and bridging standardized platforms with factory-specific environments, including through embedded MVP or Forward Deployed Engineer models. Travel may be required from 0% to 80%, depending on client and business needs. Accenture anticipates that the job posting will remain open until 11/28/2026.

Requirements

At least 8 years of pre-sales, solution consulting, or technical sales support experience in enterprise software, including contributions to complex sales opportunities, RFP responses, and solution demonstrations.
At least 8 years of experience with enterprise software delivery models, such as SaaS, license, or managed services, and integration approaches.
At least 12 months of demonstrated pre-sales experience supporting AI-native software products built on LLMs, agentic workflows, or machine learning platforms, with evidence of delivered demos or RFP contributions.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; candidates with an associate degree must have at least 6 years of work experience.
Experience presenting technical solutions to mid-level and C-suite stakeholders.
Strong written and verbal communication skills, including the ability to produce high-quality proposal content under time pressure.
Organized and detail-oriented, with the ability to manage multiple concurrent opportunities.
Self-motivated and resilient, with the ability to thrive in a fast-paced environment.
Deep understanding of manufacturing operations technology, including MES, quality management, condition monitoring, OEE monitoring, and the role of a semantic layer in making operational data unified and actionable.
Understanding of OT/IT integration architecture, including ISA-95, OPC-UA, MQTT, OSIsoft PI or AVEVA historian integration, PLC/SCADA data extraction, Azure IoT Operations, and Microsoft Fabric.
Ability to design and present manufacturing agentic AI platform architectures, including integrations with ERP systems such as SAP or Oracle, CMMS, PLM, and WMS, and familiarity with Azure IoT Operations, Microsoft Fabric, AI Foundry, and Copilot Studio.
Experience engaging manufacturing technical buyers, including Heads of IT/OT, Plant Managers, Heads of Engineering, Industrial Architects, and Chief Data Officers, and understanding how their priorities differ from those of operational and economic buyers.
Familiarity with manufacturing AI and ML applications, including anomaly detection, sensor-based failure prediction, multi-source operational-data root cause analysis, and agentic workflows that route recommendations while retaining human oversight.
Understanding of industrial AI orchestration, including agent reasoning across structured OT/IT data, human-in-the-loop approval, and appropriate boundaries for autonomous action.
Familiarity with OT/IT cybersecurity requirements, including IEC 62443, OT-to-cloud network segmentation, OT network anomaly detection, and sector-specific compliance considerations.
Experience scoping and running manufacturing AI proofs of concept, including defining asset or production-line scope, establishing data access and pipeline configuration, planning retrospective or live validation, and presenting results to operations and IT audiences.
Ability to deliver persona-tailored, scenario-based agentic manufacturing AI demonstrations, such as downtime response, quality deviation, or shift handover.
Experience in a Forward Deployed Engineer model or equivalent embedded MVP model, bridging standardized platforms and factory-specific data environments.
Experience developing agentic AI capabilities in a pre-sales or product context, including creating proof-of-concept agents using structured domain data and designing workflows with appropriate human-in-the-loop controls.

Nice To Haves

AI certifications such as Microsoft AI-900 or AI-102, Google Cloud Professional ML Engineer, AWS Certified Machine Learning Specialty, or DeepLearning.AI specializations.

Responsibilities

Support the end-to-end pre-sales process for assigned opportunities, including discovery, demonstrations, RFP responses, solution scoping, and proposal preparation.
Deliver tailored product demonstrations to mid-level and senior client stakeholders, connecting product features to business value.
Facilitate client workshops to identify requirements, validate solution fit, and shape the solution approach.
Prepare written responses to RFPs, RFIs, and security questionnaires in coordination with product, legal, and delivery teams.
Support proof-of-concept engagements, document outcomes, and feed learnings into the pre-sales playbook.
Support channel and technology partners through product demonstrations, technical guidance, positioning support, and assistance with partner-led opportunities.
Represent the business at industry events and trade shows by demonstrating products, engaging prospects and clients, and promptly documenting leads and follow-up actions.
Develop and maintain reusable pre-sales materials, including demo scripts, solution blueprints, proposal modules, competitive battle cards, and ROI templates.
Stay current on product updates, competitors, and industry trends, and share insights with the broader sales team.
Contribute to onboarding new team members on product and solution knowledge.
Coordinate with the sales lead and AD Pre-Sales on opportunity strategy and solution approach.
Maintain accurate records of pre-sales activities and solution configurations, and support pipeline reporting as needed.
Participate in win/loss reviews and apply lessons to improve proposals and demonstrations.
Design and present manufacturing agentic AI solution architectures integrating relevant OT/IT, enterprise, and Microsoft manufacturing technologies.
Scope and run manufacturing AI proof-of-concept engagements, including defining scope, arranging data access and pipeline configuration, validating results, and presenting outcomes to operations and IT audiences.
Develop scenario-based demonstrations of agentic manufacturing AI tailored to the client stakeholders and operational situation.
Develop proof-of-concept agents and agentic workflows grounded in structured domain data, with appropriate human-in-the-loop controls, and translate PoC outputs into reusable product enhancements.
Address OT/IT cybersecurity and compliance questions from client security stakeholders.