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Ensono

IT transformation and cloud migration services

Sales Specialist - Applications & AI

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree from a four-year college or university, or equivalent work experience.
  • Experience within a managed services provider, consulting organization, systems integrator, or technology services company.
  • At least 7 years of quota-carrying enterprise technology sales experience, including at least 3 years selling application services such as application managed services, application modernization, application development and support, or DevOps/SRE services.
  • A consistent record of meeting or exceeding quota on complex, multi-year services deals, including opportunities sourced independently.
  • Direct experience selling AI, data, or intelligent automation solutions, such as generative or agentic AI use cases, AIOps, or data platforms supporting AI, and the ability to explain what enabled deals to succeed beyond the pilot stage.
  • Working knowledge of how modern applications are built, run, and supported, including the Software Development Lifecycle, Agile, continuous integration and continuous delivery, ITIL-based service management, observability, and site reliability engineering practices.
  • Familiarity with cloud platforms including AWS, Microsoft Azure, and Google Cloud.
  • Ability to engage and influence senior executives, including CIOs, CTOs, CFOs, and business unit leaders, and build business cases connecting technology investment to financial and operational outcomes.
  • Experience in a sales specialist, overlay, or solution sales role, with the ability to influence without direct authority across a matrixed organization.
  • Strong verbal, written, presentation, and executive communication skills, and strong analytical and problem-solving ability.
  • Fluency using AI tools in day-to-day work and ability to keep pace with a fast-moving market.
  • Proficiency with customer relationship management tools, Microsoft Office applications, and sales enablement platforms.

Responsibilities

  • Own and deliver quarterly and annual bookings targets for Application Managed Services and AI, across overlay opportunities and independently sourced pipeline.
  • Prospect for and open new application and AI conversations with C-level leaders, application leaders, and business unit leaders, including in accounts where Ensono does not yet manage applications or AI.
  • Partner with Account Executives and Client Partners on account plans that expand Ensono's role from infrastructure into application, data, and AI layers.
  • Lead deal strategy from first conversation through contract by leading with a business problem, qualifying opportunities, shaping solutions, building business cases, and driving deals to close.
  • Use focused entry engagements, such as application observability and insight reviews, AI-assisted application and code assessments, data-readiness-for-AI assessments, AI strategy workshops, and time-boxed AI proofs of value, to create early wins that convert into recurring managed services.
  • Forecast accurately, keep the customer relationship management system current, and provide leadership with a clear view of pipeline health, risks, and upside.
  • Maintain an informed view of client priorities, competitive activity, and the application and AI services market.
  • Advise clients on running, modernizing, and improving critical applications across mainframe, cloud, and hybrid estates, and on using AI to improve speed, reliability, and operating cost.
  • Translate technology outcomes, including faster change delivery, fewer incidents, lower operating cost, reduced risk, and new AI-enabled capabilities, into terms that executives and business leaders can fund.
  • Facilitate discovery conversations, workshops, and assessments with technical, operational, and executive stakeholders to understand business challenges, identify important outcomes, and prioritize application and AI investments.
  • Lead client conversations with a focus on business outcomes, especially for AI; work with business leaders to understand desired outcomes and coordinate with Ensono teams to design solutions that meet them.
  • Position AI-enabled operations, including predictive incident detection, AI-driven root cause analysis, intelligent change-risk scoring, and automated remediation, as part of Ensono's application operations.
  • Position Ensono's AI Managed Services and connect opportunities to develop clients' AI capabilities with plans to manage and govern those capabilities, linking consulting engagements to recurring services opportunities.
  • Build business cases, return-on-investment models, and commercial proposals, including service-level-agreement- and outcome-based structures, to support executive decisions.
  • Address responsible AI, security, data governance, and regulatory considerations with clients in highly regulated industries.
  • Coordinate Solution Architects, AI and data specialists, application delivery leaders, and partners to design solutions that can be delivered and operated profitably.
  • Lead solution positioning, proposal development, pricing discussions, presentations, and contract negotiations for application and AI opportunities.
  • Work with hyperscaler and AI technology partners on joint account planning, co-selling, and partner-funded programs.
  • Increase application and AI fluency across the sales organization by running enablement, sharing successful sales approaches, and mentoring sellers on finding and qualifying opportunities.
  • Use AI in sales activities, including account research, meeting preparation, proposal development, and pipeline analysis, and share effective practices with the team.
  • Partner with marketing and portfolio teams on campaigns and programs that build application and AI pipeline.
  • Bring client feedback, competitive intelligence, and win/loss insights to portfolio, product, and AI teams to shape offers, packaging, and pricing.
  • Identify barriers to customer success and help develop strategies that improve client outcomes.
  • Advocate for client needs while balancing business objectives and operational realities.
  • Support strategic growth initiatives and other assigned responsibilities.

Desired Qualifications

  • Experience selling application services or modernization for mainframe or other legacy platforms alongside cloud.
  • Experience selling AIOps, observability, or AI-enabled IT operations services.
  • Familiarity with emerging AI engineering practices such as specification-driven development, AI agent orchestration and workflow design, and Model Context Protocol server architectures.
  • Familiarity with data governance, data mesh, data warehousing, data virtualization, and the data foundations AI depends on.
  • Experience structuring service-level-agreement-, experience-level-agreement-, or outcome-based commercial models.
  • Experience selling into regulated industries such as financial services, insurance, healthcare, or the public sector, or deep expertise in another industry vertical aligned with Ensono's growth strategy.
  • Experience working with large enterprise and mid-market clients and participating in large, strategic, multi-service transformation programs.
  • Relevant certifications in cloud, AI, application, or managed services technologies.

About the Company

Ensono

IT transformation and cloud migration services

Ensono helps large organizations modernize IT and migrate to cloud platforms through managed services and consulting. It specializes in mainframe modernization, cloud enablement, data architecture transformation, and data center consolidation, delivering end-to-end IT transformation. The company offloads non-core IT tasks to its teams and handles migrations, modernization projects, and ongoing cloud and IT management to keep systems stable, scalable, and secure. Its goal is to improve operating speed and reliability by leveraging cloud and data insights, so clients can focus on their core business.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$76.2M
Headquarters
Chicago, IL
Founded
1969

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