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

Accenture•Chicago, IL

3d•$112,900 - $271,000

About The Position

As Senior Manager, Pre-Sales, you will support complex manufacturing software sales cycles by delivering product demonstrations, responding to technical and functional requirements, and creating reusable pre-sales assets. You will work across direct client engagements, partner-supported opportunities, and industry events to help accelerate pipeline conversion. The role focuses on manufacturing operations technology and agentic AI solutions. You will engage technical, operational, and economic buyers; help design and present solution architectures integrating manufacturing systems and enterprise applications; and support proof-of-concept engagements. You will also help develop and improve agentic AI capabilities and pre-sales materials, while collaborating with sales, product, legal, delivery, and partner teams. Travel may be required, ranging from 0–80% depending on client and business needs. The position offers an annual salary range that varies by location: $112,900–$271,000 across the listed U.S. locations. Accenture offers medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

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, including SaaS, license, and managed services, and with integration approaches.
At least 12 months of demonstrated experience supporting pre-sales for AI-native software products built on LLMs, agentic workflows, or machine learning platforms, with evidence of delivered demonstrations or RFP contributions.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate degree with 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 semantic layers for 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 solution architectures and familiarity with ERP integrations such as SAP and Oracle, as well as CMMS, PLM, WMS, 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 their differing priorities from operational and economic buyers.
Familiarity with AI and ML applications in manufacturing, including anomaly detection, failure prediction from sensor data, root-cause analysis across operational data, and agentic workflows that route recommendations while retaining human oversight.
Understanding of industrial AI orchestration, including 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, network segmentation between OT and cloud, anomaly detection for OT networks, and sector-specific compliance considerations.
Experience scoping and running manufacturing AI proof-of-concept engagements, including defining asset scope, arranging data access and pipelines, performing retrospective or live validation, and presenting results credibly to operations and IT audiences.
Ability to deliver scenario-based demonstrations of an agentic manufacturing AI platform tailored to the audience.
Experience operating within a Forward Deployed Engineer (FDE) model or equivalent embedded MVP model, bridging standardized platforms and factory data-estate realities.
U.S. employment applicants must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

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

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, translating product features into 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 with product demonstrations and technical guidance, help them position the solution, and assist with partner-led opportunities when additional pre-sales depth is needed.
Represent the business at industry events and trade shows by demonstrating products, engaging prospects and clients, and 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, the competitive landscape, and industry trends, and share insights with the sales team.
Contribute to onboarding new team members on product and solution knowledge.
Work with the sales lead and AD Pre-Sales to align opportunity strategy and solution approach.
Maintain accurate records of pre-sales activities and solution configurations, and support pipeline reporting as required.
Participate in win/loss reviews and apply learnings to improve proposal quality and demonstration effectiveness.
Design and present solution architectures for agentic AI platform deployments in manufacturing, including integration touchpoints with ERP, CMMS, PLM, and WMS systems.
Scope and run manufacturing AI proof-of-concept engagements, including defining production-line or asset scope, establishing data access and pipeline configuration, validating results, and presenting outcomes to operations and IT audiences.
Deliver scenario-based demonstrations of agentic manufacturing AI for situations such as downtime response, quality deviation, or shift handover, tailored to the audience.
Develop proof-of-concept agents grounded in structured domain data, design workflows with human-in-the-loop controls, and translate outputs into reusable product enhancements.