Software Product Management Pre Sales Senior Manager - Marketing Analytics 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.

PRODUCT AND INDUSTRY FIT

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• Understanding of modern marketing measurement approaches, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality, sales and brand lift, and unified measurement. Ability to articulate the value of bringing historically fragmented measurement approaches together into a trusted view of marketing performance, investment effectiveness, and ROI.

• Ability to engage clients in discussions about the future of measurement, including how bidirectional feedback loops between top-down and bottom-up measurement approaches can create more trusted insights, faster learning cycles, improved scenario planning, and better business decision‑making.

• Ability to meet clients where they are in their measurement, analytics, and decision‑support journey, from marketing measurement strategy engagements and MMM methodology discussions, to software‑led opportunities focused on visualization, optimization, forecasting, and scenario planning; Measurement Office and Insights‑as‑a‑Service offerings; Bring Your Own Model (BYOM) deployments; Attribution Bridge capabilities that unlock unified measurement; and enterprise‑scale Marketing Measurement Office transformations.

• Ability to articulate Marketing Investment Navigator's value proposition across multiple deployment models, including MMM‑only, unified measurement, retail media measurement, commercial optimization, Measurement Office, and future growth and investment planning capabilities.

• Familiarity with how marketers, commerce teams, finance organizations, and analytics teams use measurement, forecasting, optimization, and decision‑support capabilities to improve business outcomes, guide investment decisions, and demonstrate business impact.

• Ability to engage senior stakeholders across Marketing, Commerce, Finance, Analytics, Revenue, Data, and Technology functions, including CMOs, Heads of Media, Marketing Effectiveness leaders, Marketing Analytics leaders, Commerce leaders, Chief Revenue Officers, Marketing Technology leaders, Chief Data Officers, and CFO organizations.

• Understanding of the challenges organizations face with fragmented measurement, disconnected data sources, conflicting performance signals, slow insights cycles, and the lack of a single source of truth for decision‑making.

• Familiarity with modern marketing, advertising, data, identity, commerce, and analytics ecosystems, including martech platforms, adtech platforms, customer data platforms (CDPs), CRM systems, retail media platforms, identity solutions, clean rooms, cloud environments, and emerging AI‑enabled analytics capabilities.

• Understanding of evolving industry trends including privacy‑safe measurement, identity resolution, retail media growth, AI‑enabled analytics, cloud‑agnostic architectures, multi‑platform measurement environments, and changing approaches to marketing effectiveness and attribution.

• Ability to identify client business challenges and translate Marketing Investment Navigator capabilities into relevant business outcomes, including growth, efficiency, profitability, planning effectiveness, measurement transparency, decision confidence, and investment optimization.

• Experience building executive‑level business cases that connect marketing, media, commerce, trade, and commercial investments to measurable business impact and defensible decision‑making.

• Ability to communicate complex measurement, analytics, and optimization concepts in clear business language tailored to both executive and practitioner audiences.
• Ability to lead consultative sales conversations and effectively orchestrate product, industry, analytics, data science, and technology subject matter experts to address client requirements and advance opportunities through the sales cycle.

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 at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 11/28/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range
California $132,500 to $271,000
Colorado $132,500 to $234,100
Connecticut $132,500 to $234,100
District of Columbia $141,100 to $249,300
Illinois $122,700 to $234,100
Maine $112,900 to $199,500
Maryland $132,500 to $234,100
Massachusetts $132,500 to $249,300
Minnesota $132,500 to $234,100
New York $122,700 to $271,000
New Jersey $141,100 to $271,000
Ohio $122,700 to $216,800
Virginia $122,700 to $249,300
Washington $141,100 to $249,300

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