Software Sales Senior Manager - Manufacturing Software

Accenture•St. Louis, MO

7d•$122,700 - $271,000

About The Position

Accenture is hiring a Senior Manager, Software Sales, as a high-energy individual contributor responsible for originating and advancing qualified software opportunities within an assigned territory and product scope. The role works with Accenture client account teams and directly with clients to develop pipeline, while supporting channel partners as a complementary source of leads. It may also provide informal guidance to junior team members. The position focuses on manufacturing software and agentic AI. The successful candidate should understand manufacturing operations technology, including MES, historians, SCADA, condition monitoring, ISA-95, OT/IT convergence, and the security and data sovereignty considerations of connecting factory systems to cloud infrastructure. The role positions an agentic AI platform as a reasoning layer above existing factory systems, rather than an MES replacement or point analytics tool, and connects software opportunities to broader manufacturing transformation programs. The Senior Manager develops and qualifies opportunities, manages an individual sales pipeline and CRM records, conducts discovery, prepares value propositions and proposals, coordinates presales resources, and supports negotiations. The role also works with channel and technology partners, reports pipeline and forecast information, shares competitive intelligence and client feedback, and stays current on the product portfolio. Travel may be required, ranging from 25% to 100% depending on business need and client requirements. The role is eligible for additional incentive compensation based on achievement toward individual sales metrics and plan terms. Accenture lists annual salary ranges by location: California $132,500–$271,000; Colorado, Connecticut, Maryland, Minnesota $132,500–$234,100; District of Columbia $141,100–$249,300; Illinois, New York $122,700–$234,100; Maine $112,900–$199,500; Massachusetts $132,500–$249,300; New Jersey $141,100–$271,000; Ohio $122,700–$216,800; Virginia $122,700–$249,300; and Washington $141,100–$249,300. The posting is anticipated to remain open until 11/28/2026.

Requirements

At least 8 years of experience in enterprise software sales or a closely related commercial role.
At least 8 years of experience selling software solutions to large enterprises; familiarity with SaaS, license, and managed service commercial models.
Proven track record of achieving and exceeding quotas.
At least 6 months of demonstrated experience selling AI-native software products built on LLMs, agentic workflows, or machine learning platforms, with evidence of originated pipeline or opportunities advanced toward close.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate degree with a minimum of 6 years of work experience.
Understanding of manufacturing operations technology, including MES, historians, SCADA, and condition monitoring systems, and the role of an intelligence layer in translating existing data infrastructure into frontline action.
Familiarity with ISA-95 and the ability to discuss unified operational data models and semantic context for manufacturing AI with client data or automation architects.
Experience selling to economic buyers and operational champions in discrete and process manufacturing, and understanding how the sales motion differs across these audiences.
Understanding of OT/IT convergence challenges, fragmented factory data estates, cross-site data model standardization, and security and data sovereignty concerns when connecting shop-floor systems to cloud infrastructure.
Familiarity with the manufacturing AI competitive landscape, including MES incumbents, AI-native platforms, and hyperscalers, and ability to articulate the position of an agentic AI platform relative to them.
Ability to position an agentic AI platform as a reasoning layer above existing factory systems, not as an MES replacement or point analytics tool.
Experience with land-and-expand SaaS or platform sales in industrial or enterprise contexts, including qualifying entry points, expanding validated use cases across multiple sites, and managing subscription-based commercial structures.
Familiarity with the Microsoft Azure ecosystem in enterprise sales, including co-sell motions, Azure Marketplace, and Azure-native architecture considerations.
Ability to build business cases around operational outcomes such as OEE improvement, downtime reduction, and defect and scrap reduction, and translate these into client-verifiable financial terms.
Experience navigating complex, matrixed sales environments and coordinating direct sales, internal channels, and ecosystem partners while aligning priorities, managing channel conflict, and maintaining commercial momentum.
Strong communication and presentation skills, including confidence engaging director- and VP-level buyers.
Organized and data-disciplined, with consistent CRM hygiene, forecast accuracy, and deal documentation.
Self-starter with resilience and comfort working in a fast-moving, target-driven environment.
Ability to travel 25% to 100%, depending on business need and client requirements.

Nice To Haves

AI certifications are valued, such as Microsoft AI-900 or AI-102, Google Cloud Professional ML Engineer, or AWS Certified ML Specialty.

Responsibilities

Originate and qualify software sales opportunities within an assigned territory, working with Accenture client account teams and/or directly with clients.
Manage a personal pipeline sufficient to cover the individual sales target and keep CRM stage, forecast category, and deal information accurate and current.
Conduct discovery conversations to identify client pain points, map them to product capabilities, and qualify commercial fit.
Participate in client account planning for key territory targets, contributing opportunity identification and go-to-market input.
Prepare and deliver tailored value propositions, business cases, and commercial proposals for mid-market and enterprise accounts.
Coordinate presales and product resources throughout the sales cycle to maintain deal momentum.
Support contract negotiations under the direction of the AD and own commercial input for smaller and renewal deals.
Follow up on marketing-qualified leads, partner referrals, and event interactions to convert them into active pipeline.
Attend industry events and trade shows, prepare prospect target lists, represent the business, and promptly log leads and commitments in CRM.
Maintain regular contact with channel and technology partners, share relevant sales plays and product updates, and ensure partner-sourced leads are qualified and progressed promptly.
Provide informal guidance to junior sales team members on deal progression and qualification when needed.
Produce accurate weekly pipeline reports and flag risks and upside to the AD before forecast reviews.
Share competitive intelligence and client feedback with product and go-to-market teams.
Stay current on the product portfolio through enablement programs, product updates, and sales plays.

Benefits

Medical coverage
Dental insurance
Vision insurance
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off
Additional incentive compensation based on individual sales metrics and plan terms