Accenture Media Suite Presales Manager

THE ROLEAs a Software Pre-Sales Manager, you will work closely with clients, sales teams, product teams, and other cross-functional stakeholders to understand business needs, shape software solutions, and communicate their value. You will support the full pre-sales cycle through discovery, demonstrations, solution design, proposals, and client presentations while building trusted relationships and helping convert opportunities into successful client outcomes.WHAT YOU WILL DOPre-sales support and solution deliveryLead and support software pre-sales activities across assigned products, industries, and client opportunities.Engage clients to understand business priorities, requirements, operating processes, and desired outcomes.Develop solution approaches that align product capabilities with client needs and clearly articulate business value.Facilitate discovery sessions, solution workshops, product demonstrations, and proof-of-concept activities.Coordinate technical and functional inputs needed to deliver compelling, feasible, and differentiated solutions.Business development and client relationshipsSupport opportunity qualification, proposals, client presentations, demonstrations, and solution discussions throughout the sales cycle.Partner with sales teams to develop pursuit strategies, value propositions, competitive positioning, and responses to client questions.Build and maintain strong client relationships by providing trusted, consultative guidance and responsive support.Identify opportunities to expand client value through additional product capabilities, use cases, and complementary offerings.Solution expertise and cross-functional collaborationDevelop a strong understanding of assigned software products, capabilities, configurations, integrations, implementation considerations, and roadmap direction.Translate complex business and technical requirements into clear solution recommendations and compelling client narratives.Stay current on product innovations, relevant technologies, market trends, competitors, and industry best practices.Collaborate with functional, technical, and business teams to ensure successful project delivery and client satisfaction.Manage multiple pursuits and competing priorities while maintaining high-quality, timely deliverables.PRODUCT AND INDUSTRY FITExpert-level knowledge of core capabilities of the four products of Media Suite, standard configurations, integration requirements (MCP servers, REST APIs, OSS/BSS, ad servers and ad-tech partners) and typical deployment patterns (SaaS or self-hosted on AWS or Azure, phased module-by-module adoption). Knowledge of the architecture of the four products and the shared runtime (common Core API contract and shared media ontology); the Media Nexus Intelligence and Orchestration Engines, Signal Fabric and agent marketplace; integration patterns through MCP, Agent2Agent (A2A) and REST APIs; configuration and governance options (agent autonomy levels, criticality tagging, audit trail); and known limitations — execution-layer capabilities such as playout, encoding/transcoding, CDN, DRM, SSAI and SSP are partner-provided, JT-DMF, TAMS and MXL are supported through partners, and some advanced autonomy capabilities are on the roadmap.Ability to demonstrate Media Suite end-to-end, tailored to specific media use cases: Media Nexus agents running on the client's own context, broadcast workflow orchestration and intent-based workflow authoring in Media Ops, the five Media Engage modules for a direct-to-consumer streaming service, and AI-assisted proposal building, pricing and campaign optimisation in Media Sales.Media-specific processes, standards and technology stack: the content supply chain from creation to consumption (ingest, MAM/DAM, QC, compliance, versioning, localisation, scheduling, playout and master control, distribution), advertising sales and traffic, subscriber and entitlement management; regulatory requirements and technology priorities relevant to the product's value proposition; nice to have: standards including SMPTE ST 2110, IMF, EIDR and MovieLabs 2030; cloud media workloads on AWS and Azure.Experience engaging CTO, Chief Architect, Head of Broadcast Operations, Chief Data Officer and Head of Ad Operations in media organisations on solution design and business case: OPEX reduction in broadcast operations, advertising revenue uplift and cost-to-serve of the streaming platform.Familiarity with competing products — media orchestration and agentic layers (e.g. Dalet Dalia, SDVI Rally, Blue Lucy, Amagi, Comcast Technology Solutions VideoAI), OTT platforms (e.g. Quickplay, MediaKind, Brightcove) and SI-led agentic accelerators (e.g. EPAM, Globant, HCLTech) — and ability to articulate our differentiation clearly: orchestration across vendor boundaries rather than inside a single vendor's ecosystem.Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.Here's What You Need:Minimum 5+ 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 5+ 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 environmentBonus Points if You have:AI certifications (e.g. Microsoft AI-900/AI-102, Google Cloud Professional ML Engineer, AWS Certified ML Specialty, DeepLearning.AI specializations) 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 12/14/2026.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 | AccentureRole Location Annual Salary RangeCalifornia $94,400 to $293,800Colorado $94,400 to $253,800Connecticut $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Ohio $87,400 to $235,000Virginia $87,400 to $270,300Washington $100,500 to $270,300Requesting an AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. 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