THE ROLE
As 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 DO
Pre-sales support and solution delivery
- Lead 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 relationships
- Support 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 collaboration
- Develop 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 FIT
- Expert-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 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 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 | Accenture
Role Location Annual Salary Range
California $94,400 to $293,800
Colorado $94,400 to $253,800
Connecticut $94,400 to $253,800
District of Columbia $100,500 to $270,300
Illinois $87,400 to $253,800
Maine $80,400 to $216,200
Maryland $94,400 to $253,800
Massachusetts $94,400 to $270,300
Minnesota $94,400 to $253,800
New York $87,400 to $293,800
New Jersey $100,500 to $293,800
Ohio $87,400 to $235,000
Virginia $87,400 to $270,300
Washington $100,500 to $270,300
