Software Product Management Pre Sales Senior Manager - Consumer Goods & Services

Accenture•Chicago, IL

10d•$112,900 - $271,000

About The Position

As Senior Manager, Pre-Sales, you support complex software sales cycles by delivering product demonstrations, responding to technical and functional requirements, and building reusable pre-sales assets. You combine product knowledge with client-facing skills to help convert pipeline opportunities through direct client engagements, partner-supported opportunities, and industry events. The role focuses on solution shaping and client engagement for a route-to-market product suite serving Consumer Goods & Services and adjacent sectors, including retail, pharmaceuticals, durable goods, and distribution-led businesses. It requires deep functional expertise across field sales automation, order management, van sales, pre-selling, distribution and territory management, retail execution, journey planning, and in-store compliance. You act as a trusted advisor to senior business and IT stakeholders and translate business requirements into scalable, integrated solution architectures. You will position route-to-market transformation solutions that integrate with ERP platforms, warehouse management systems, promotional planning tools, retailer ecosystems, and enterprise data platforms. The work includes addressing offline-first mobile architecture, master data, compliance and verification, analytics and BI, and AI capabilities. You will also lead pre-sales proof-of-concept efforts, from pilot scope and field deployment configuration through live field trials and presentation of outcomes. Travel may be required, ranging from 0% to 80%, depending on client and business needs. Accenture describes itself as a global professional services company serving clients across industries and offers a market-competitive benefits package. The stated annual salary ranges vary by location; see the posting for the listed state-specific ranges.

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, licensed software, 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 demonstrations delivered or RFP contributions.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; candidates with an associate’s 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 functional expertise in field sales automation, order management, van sales, pre-sell processes, distribution and territory management, retail execution, journey planning, and in-store compliance.
Ability to articulate end-to-end business scenarios covering route planning, field execution, order capture, promotional compliance, delivery confirmation, and performance reporting.
Ability to advise senior business and IT stakeholders, including enterprise architects and commercial systems leaders.
Ability to translate complex business needs into scalable, integrated solution architectures.
Understanding of offline-first mobile architectures, master data frameworks, compliance and verification capabilities, analytics and BI integration, and AI applications in route-to-market solutions.
Ability to lead pre-sales proof-of-concept activities, including pilot definition, field deployment, onboarding, trials, and stakeholder outcome presentations.

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, 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 lessons back into the pre-sales playbook.
Support channel and technology partners in pre-sales engagements through product demonstrations, technical guidance, solution-positioning support, and assistance on partner-led opportunities.
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, competitors, 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 on 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 lessons to improve proposal quality and demo effectiveness.
Lead pre-sales proof-of-concept work, including pilot scope definition, field deployment configuration, device and user onboarding, live field trials, and outcome presentations to technical and commercial stakeholders.
Shape and position route-to-market solutions addressing field sales automation, order management, van sales, pre-selling, distribution and territory management, retail execution, journey planning, and in-store compliance.
Translate complex business requirements into scalable integrated architectures spanning enterprise and retailer systems.
Address offline-first mobile architecture, including synchronization, conflict resolution, background processing, low-bandwidth optimization, and field resilience.
Design master data frameworks for customer hierarchies, product catalogues, pricing, promotions, and territory structures, as well as enterprise deployment readiness and governance.
Define compliance and verification capabilities such as regulatory workflows, audit trails, image-based validation, and field assurance processes.
Use analytics and BI integration to support KPI tracking, call effectiveness, promotional uplift, and execution compliance.
Position AI capabilities across the solution lifecycle, including generative AI, predictive AI, computer vision, and intelligent automation.