Software Sales Senior Manager - Accenture Billing and Payments Engine

Accenture•Chicago, IL

8d•$112,900 - $271,000

About The Position

The Software Sales Senior Manager is a high-energy individual contributor responsible for originating and advancing qualified software sales opportunities within an assigned territory and product scope. The role works closely 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 utility and tolling billing and payments ecosystems, and selectively telecommunications. It requires explaining the business value of billing modernization, engaging executive buyers, positioning the product against legacy platforms and competitors, and leading complex software sales pursuits. The role also involves understanding modern payment ecosystems, AI-enabled billing transformation opportunities, and cloud-based software commercial models. Travel may be required, ranging from 0% to 100% depending on client and business needs.

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, such as solutions built on LLMs, agentic workflows, or machine learning platforms, with evidence of originating pipeline or advancing opportunities toward close.
Bachelor’s degree or equivalent, including at least 12 years of work experience; alternatively, an associate’s degree with at least 6 years of work experience.
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 operating in a fast-moving, target-driven environment.
Deep understanding of utility and tolling (and selectively telecommunications) billing and payments ecosystems, including customer onboarding, usage collection, rating, invoicing, payments, collections, revenue assurance, and customer service operations.
Ability to articulate the business value of billing modernization and connect operational challenges to outcomes such as revenue growth, cost reduction, improved customer experience, and regulatory compliance.
Experience engaging executive buyers including CIO, CTO, CFO, Chief Customer Officer, Head of Billing, and Head of Revenue Operations, translating platform capabilities into strategic business value.
Ability to position the product against legacy billing platforms and competing solutions, explaining differentiators in scalability, configurability, cloud readiness, payments integration, and operational efficiency.
Knowledge of utility billing complexity, including smart meter programs, interval data processing, time-of-use pricing, settlements, regulatory requirements, and customer affordability programs.
Knowledge of other event-based billing complexity, including convergent billing, subscription monetization, usage charging, roaming, partner settlements, and digital service bundling.
Understanding of modern payment ecosystems, including direct debit, card processing, payment orchestration, digital wallets, open banking, and customer payment experience optimization.
Ability to identify and qualify opportunities for AI-enabled billing transformation, including intelligent exception management, automated dispute resolution, payment recovery optimization, and agent-driven customer engagement.
Knowledge of cloud-based software commercial models, including SaaS, subscription licensing, consumption-based pricing, implementation services, and managed services.

Nice To Haves

AI certifications, such as Microsoft AI-900/AI-102, Google Cloud Professional ML Engineer, AWS Certified ML Specialty, or DeepLearning.AI specializations.

Responsibilities

Originate and qualify new software sales opportunities within an assigned territory, working with Accenture client account teams and/or directly with clients.
Maintain a personal pipeline sufficient to cover the individual sales target and keep CRM stages, forecast categories, and deal data 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 software 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 pre-sales 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 in the territory, share sales plays and product updates, and ensure partner-sourced leads are qualified and progressed.
Provide informal guidance to junior sales team members on deal progression and qualification where needed.
Produce accurate weekly pipeline reports and flag risks and upside to the AD ahead of 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.
Lead complex software sales pursuits, including qualification, opportunity shaping, executive workshops, solution demonstrations, commercial negotiations, and contract closure.
Collaborate with product, engineering, implementation, and partner teams to create pursuit strategies and deliver client outcomes.