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

About Accenture

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com .

The Role

As Senior Manager, Pre-Sales you support complex software sales cycles by delivering compelling product demonstrations, responding to technical and functional requirements, and building reusable pre-sales assets. You combine solid product knowledge with strong client-facing skills to accelerate pipeline conversion — working across direct client engagements, partner-supported opportunities and industry events.

What You Will Do:

Pre-sales support and solution delivery

Support the end-to-end pre-sales process for assigned opportunities: discovery, demos, RFP responses, solution scoping and proposal preparation.

Deliver tailored product demonstrations to mid-level and senior client stakeholders, translating features into business value.

Facilitate client workshops to identify requirements, validate 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 back into the pre-sales playbook.

Partner and event support

Support channel and technology partners in pre-sales engagements: provide product demonstrations and technical guidance, build their confidence in positioning the solution, and assist on partner-led opportunities when additional pre-sales depth is required.

Support the business at industry events and trade shows: deliver product demonstrations for event audiences, engage prospects and clients on-site with relevant use cases, and document leads and follow-up actions promptly after each event.

Asset development and enablement

Develop and maintain reusable pre-sales materials: demo scripts, solution blueprints, proposal modules, competitive battle cards and ROI templates.

Stay current on product updates, competitive landscape and industry trends; share insights with the broader sales team.

Contribute to the onboarding of new team members on product and solution knowledge.

Collaboration and reporting

Work closely with the sales lead and AD Pre-Sales to align on opportunity strategy and solution approach.

Maintain accurate records of pre-sales activities and solution configurations; support pipeline reporting as required.

Participate in win/loss reviews and apply learnings to improve proposal quality and demo effectiveness.

INDUSTRY AND PRODUCT FIT:

• •Deep understanding of manufacturing operations technology: MES, quality management, condition monitoring, OEE monitoring, and how these systems generate data that is rarely unified or actionable without a semantic layer above them.
• •Understanding of OT/IT integration architecture: ISA-95, OPC-UA connectivity, MQTT, historian integration (OSIsoft PI, AVEVA), PLC/SCADA data extraction, and the data pipeline from shop floor to cloud via Microsoft Azure IoT Operations and the role of Microsoft Fabric as a unified data layer.
• •Ability to design and present a solution architecture for an agentic AI platform deployment in a manufacturing environment, including integration touchpoints with ERP (SAP, Oracle), CMMS, PLM, and WMS — and familiarity with the Microsoft manufacturing stack (Azure IoT Operations, Microsoft Fabric, AI Foundry, and Copilot Studio).
• •Experience engaging technical buyers in manufacturing: Head of IT/OT, Plant Manager, Head of Engineering, Industrial Architect, and Chief Data Officer — with an understanding of how their priorities and concerns differ from operational and economic buyers.
• •Familiarity with AI and ML applications in manufacturing: anomaly detection, failure prediction from sensor data, root cause analysis across multi-source operational data, and agentic workflows that route recommendations to the right persona without removing human oversight.
• •Understanding of Industrial AI orchestration: how agentic systems reason across structured OT/IT data to generate prescriptive recommendations, how human-in-the-loop approval is designed into agentic workflows, and where autonomous action is appropriate versus where it is not.
• •Familiarity with cybersecurity requirements for OT/IT connected environments: IEC 62443, network segmentation between OT and cloud, anomaly detection for OT networks, and sector-specific compliance considerations — sufficient to address a CISO or IT security lead's concerns without escalating every question.
• •Experience scoping and running proof-of-concept engagements for manufacturing AI: defining the production line or asset scope, working with the client to establish data access and pipeline configuration, structuring a retrospective or live validation exercise, and presenting results credibly to a mixed operations and IT audience.
• •Ability to deliver a compelling, scenario-based demonstration of an agentic manufacturing AI platform across a representative operational situation — downtime response, quality deviation, or shift handover — tailored to the persona in the room rather than defaulting to a feature walkthrough.
• •Experience operating within a Forward Deployed Engineer (FDE) or in an equivalent embedded MVP model, bridging the gap between a standardized platform and the realities of a specific factory's data estate.
• •Experience developing agentic AI capabilities in a pre-sales or product context: building proof-of-concept agents grounded in structured domain data, designing agentic workflows with appropriate human-in-the-loop controls, and translating PoC outputs into reusable product enhancements.

Travel may be required for role - 0-80% depending on client and business needs

Here’s What You Need:

• •Minimum 8+ years of pre-sales, solution consulting or technical sales support experience in enterprise software including a track record of contributing to complex sales opportunities, including RFP responses and solution demonstrations.
• •Minimum 8+ years of enterprise software delivery models (SaaS, license, managed services) and integration approaches.
• •Minimum 12 months of demonstrated experience supporting pre-sales for AI-native software products — solutions built on LLMs, agentic workflows or machine learning platforms — with evidence of demos delivered or RFP contributions.
• •Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Professional Skills:

• •Experience presenting technical solutions to mid-level and C-suite stakeholders.
• •Strong written and verbal communication skills; able to produce high-quality proposal content under time pressure.
• •Organized and detail-oriented; comfortable managing multiple concurrent opportunities.
• •Self-motivated and resilient; able to thrive in a fast-paced environment

Bonus Points if You have:

AI certifications (e.g. Microsoft AI-900/AI-102, Google Cloud Professional ML Engineer, AWS Certified ML Specialty, DeepLearning.AI specialisations) are valued.

Compensation a