Software Product Management Pre Sales Senior Manager - Marketing Analytics Software

Accenture•St. Louis, MO

4d•$112,900 - $271,000

About The Position

Accenture is hiring a Senior Manager, Pre-Sales to support complex sales cycles for marketing analytics software. The role involves delivering product demonstrations, responding to technical and functional requirements, and developing reusable pre-sales assets to help accelerate pipeline conversion. The position supports direct client engagements, partner-supported opportunities, and industry events. The role centers on Marketing Investment Navigator and marketing measurement. The successful candidate will engage clients on approaches such as Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality, sales and brand lift, and unified measurement. They will help clients connect historically fragmented methods and data into trusted views of marketing performance, investment effectiveness, and ROI, and explain how measurement insights can support optimization, forecasting, scenario planning, and business decisions across different deployment models. The position requires consultative engagement with senior stakeholders across Marketing, Commerce, Finance, Analytics, Revenue, Data, and Technology. It also calls for familiarity with relevant marketing, advertising, data, identity, commerce, and analytics ecosystems and trends, including privacy-safe measurement, identity resolution, retail media, cloud environments, and AI-enabled analytics. Travel may be required, ranging from 0–80% depending on client and business needs. Accenture describes itself as a global professional services company serving clients across industries. The posting states that the company offers medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Compensation varies by location and other factors; listed annual ranges differ by state and district.

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, 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 work experience of at least 12 years; 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.
Understanding of modern marketing measurement approaches, including MMM, MTA, incrementality, sales and brand lift, and unified measurement.
Ability to explain measurement and analytics concepts in clear business language for executive and practitioner audiences.
Ability to engage senior stakeholders across Marketing, Commerce, Finance, Analytics, Revenue, Data, and Technology functions.
Familiarity with marketing, advertising, data, identity, commerce, and analytics ecosystems, including martech and adtech platforms, CDPs, CRM systems, retail media platforms, identity solutions, clean rooms, and cloud environments.
Understanding of challenges involving fragmented measurement, disconnected data, conflicting performance signals, slow insight cycles, and lack of a single source of truth.
Ability to discuss measurement, analytics, decision-support, forecasting, optimization, and investment decision-making in a client context.
Travel may be required, from 0–80%, depending on client and business needs.

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, are valued.
Familiarity with privacy-safe measurement, identity resolution, retail media growth, AI-enabled analytics, cloud-agnostic architectures, multi-platform measurement environments, and evolving approaches to marketing effectiveness and attribution.
Ability to discuss bidirectional feedback loops between top-down and bottom-up measurement approaches and their use in improving insight, learning cycles, scenario planning, and business decisions.
Familiarity with Marketing Investment Navigator deployment models and capabilities, including MMM-only, unified measurement, retail media measurement, commercial optimization, Measurement Office, and future growth and investment planning.
Familiarity with Measurement Office and Insights-as-a-Service offerings, Bring Your Own Model (BYOM) deployments, Attribution Bridge capabilities, and enterprise-scale Marketing Measurement Office transformations.

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 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, build their confidence in positioning the solution, and provide additional pre-sales depth for partner-led opportunities.
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, the 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 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 learnings to improve proposal quality and demonstration effectiveness.
Lead consultative sales conversations and coordinate product, industry, analytics, data science, and technology subject matter experts to address client requirements and advance opportunities.
Identify client business challenges and connect Marketing Investment Navigator capabilities to relevant business outcomes, including growth, efficiency, profitability, planning effectiveness, measurement transparency, decision confidence, and investment optimization.
Build executive-level business cases linking marketing, media, commerce, trade, and commercial investments to measurable business impact and defensible decision-making.