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

Accenture•St. Louis, MO

12d•$122,700 - $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 developing reusable pre-sales assets. You combine product knowledge with client-facing skills to help convert pipeline opportunities across direct client engagements, partner-supported opportunities, and industry events. This senior-level role focuses on solution shaping and client engagement for a route-to-market product suite serving Consumer Goods & Services and adjacent industries, including retail, pharmaceuticals, durable goods, and distribution-led businesses. It requires deep functional knowledge of field sales automation, order management, van sales, pre-sell processes, distribution and territory management, retail execution, journey planning, and in-store compliance. The role translates business requirements into scalable integrated architectures and acts as a trusted advisor to senior business and IT stakeholders. The position also involves supporting proof-of-concept engagements, including pilot scoping, field deployment configuration, device and user onboarding, live field trials, and presentation of outcomes. It brings together domain expertise, architectural credibility, and AI-driven innovation to position route-to-market transformation solutions for global enterprises. Travel may be required, ranging from 0–80% depending on client and business needs.

Requirements

At least 8 years of experience in pre-sales, solution consulting, or technical sales support in enterprise software, including a track record contributing 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 demos delivered or RFP contributions.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an Associate’s degree with a minimum of 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.
Strong understanding of offline-first mobile architectures, including synchronization strategies, conflict resolution, background processing, low-bandwidth optimization, and field resilience mechanisms.

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 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 learnings into the pre-sales playbook.
Support channel and technology partners in pre-sales engagements by providing demonstrations and technical guidance, building their confidence in solution positioning, and assisting partner-led opportunities when additional pre-sales support is needed.
Support industry events and trade shows by demonstrating products, engaging prospects and clients on relevant use cases, 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, competitive landscape, and industry trends, and share insights with the broader 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.
Shape and position route-to-market solutions for Consumer Goods & Services and adjacent industries, covering business scenarios such as route planning, field execution, order capture, promotional compliance, delivery confirmation, and performance reporting.
Translate complex business requirements into scalable integrated solution architectures spanning ERP platforms, warehouse management systems, promotional planning tools, retailer ecosystems, and enterprise data platforms.
Design master data frameworks for customer hierarchies, product catalogues, pricing, promotions, and territory structures, along with enterprise deployment readiness and governance.
Define compliance and verification capabilities, including regulatory workflows, audit trails, image-based validation, and field assurance processes.
Leverage analytics and BI integration for KPI tracking, call effectiveness, promotional uplift, and execution compliance.
Integrate AI capabilities across the solution lifecycle, including generative AI for guided selling and content generation, predictive AI for demand forecasting and next-best-action recommendations, computer vision for shelf and planogram compliance, and intelligent automation for route optimization and anomaly detection.
Lead proof-of-concept pre-sales efforts, including pilot scope definition, field deployment configuration, device and user onboarding, live field trials, and outcome presentation to technical and commercial stakeholders.