Full-Time

Business Development Manager

Microsoft, SME&C

Reply

Reply

10,001+ employees

Consulting and system integration across sectors

No salary listed

Chicago, IL, USA

Remote

Remote within the United States; travel up to 30% nationally.

Category
Business & Strategy (1)
Required Skills
Lead Generation

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Requirements
  • Must have channel sales experience working with Microsoft sellers and navigating the Microsoft ecosystem, ideally also bring an established network within Microsoft
  • 3+ years of experience selling technology consulting services and complex solutions
  • Successful deal closes ranging from $50K - $500K+
  • Proven success landing new logos, prospecting, account planning and achieving revenue targets
  • Success as a Trusted Advisor by nurturing client relationships
  • Experience working on proposals, SOWS and oral presentations
  • Strong communication, presentation and networking skills
  • Teamwork mentality to collaborate with internal Consulting & Development teams in the pre-sales process and driving future work in existing clients
Responsibilities
  • Foster and nurture relationships within the Microsoft channel and broader ecosystem for leads and collaborate on pursuits
  • Sell consulting services for D365 Sales, Service and Marketing/CIJ as well as Power Platform solutions to new clients in the US with a focus on SME&C (small, mid-size and corporate clients)
  • Take ownership to grow assigned territory and achieve revenue targets by utilizing multiple channels, including business development, lead generation/prospecting, responding to inbound inquiries, networking with Microsoft sellers and cold outreach campaigns
  • Lead the entire sales cycle from opportunity identification, qualification, discovery, proposals, contract negotiations through deal closure to ensure successful client delivery
  • Deal shaping with the assistance of technical and functional experts as needed
  • Build nurturing relationships with C-suite contacts and conduct sales presentations to all levels within a client organization
  • Develop a sales plan for targeting and achieving new business revenue
  • Help refine our sales processes and mentor new sellers as they onboard
  • Attend Microsoft conferences, trade shows, and other events to better understand the digital market and “what’s coming”
  • Track sales progress and opportunities in D365
  • Travel up to 30% nationally

Reply designs and implements solutions using new communication channels and digital media, operating as a network of specialized firms that together create business models enabled by big data, cloud computing, digital media, and IoT. It provides consulting, system integration, and digital services to clients in telecom and media, industry and services, banking and insurance, and the public sector. The company helps organizations adopt digital business models by combining advisory, technology services, and implementation to design architectures, deploy IoT and digital media solutions, and integrate them with existing systems. By being a network of specialists rather than a single vendor, it offers tailored, cross-domain solutions across multiple industries to help clients create value and transform operations.

Company Size

10,001+

Company Stage

IPO

Headquarters

Turin, Italy

Founded

1996

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Simplify Jobs

Simplify's Take

What believers are saying

  • H1 2026 turnover reached €1.312 billion, with EBITDA €233.2 million and positive cash.
  • Microsoft named Reply an Agent 365 launch partner in April 2026.
  • Reply's AI launches now span banking, manufacturing, procurement, HR, and content production.

What critics are saying

  • Consulting commoditization hit Accenture and Cognizant; Reply faces the same AI pricing pressure.
  • FedTec deepens exposure to U.S. federal procurement, security reviews, and budget-cycle delays.
  • Microsoft, Mistral, and AWS can disintermediate Reply if clients buy platforms directly.

What makes Reply unique

  • Reply's specialized network model drove €667.0 million Q2 2026 revenue, up 8.7%.
  • FedTec adds U.S. federal clearances, defense customers, and a new growth wedge.
  • Mistral Forge, Agent 365, and Model Factory position Reply as enterprise AI integrator.

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Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
GovCon Wire
Aug 11th, 2026
Italy's Reply Acquires Federal Contractor FedTec

CEO Ramanjit Singh and the existing leadership team will continue to run FedTec.

Associated Press
Jul 30th, 2026
Reply reports $1.5B revenue in H1 2026, up 7.4% on AI-driven growth

Reply S.p.A. reported consolidated turnover of €1,311.9 million for the first half of 2026, marking a 7.4% increase compared to the same period in 2025. The Italian technology consulting firm's EBITDA reached €233.2 million, whilst EBIT stood at €189.7 million for the six-month period. The company's second quarter performance showed consolidated turnover of €667.0 million, up 8.7% year-on-year. Reply's net financial position was positive at €402.0 million as of 30 June 2026. Chairman Mario Rizzante attributed the results to growing corporate investments in AI initiatives. He noted that artificial intelligence has become integral to growth strategies, driving convergence of software, data, and domain expertise. Reply specialises in solutions based on digital media and emerging technologies, serving clients across telecommunications, industry, banking, insurance, and public sectors.

Yahoo Finance
Jul 24th, 2026
Audi accelerates B2B used car platform development with AI multi-agent system from Comsysto Reply

Comsysto Reply has partnered with Audi to develop an AI-based multi-agent system for the carmaker's Used Car Platform, a digital marketplace for B2B used car trading. Since 2025, the platform has accounted for nearly 100% of Audi's B2B business in this sector. The solution uses three specialised AI agents built on GitHub Copilot to handle requirements analysis, code generation, and quality assurance. The agents work with a dedicated knowledge base containing the platform's architectural decisions and specifications, enabling them to produce outputs consistent with existing systems. The system follows a human-in-the-loop model, with AI handling repetitive tasks whilst developers focus on review and validation. Comsysto Reply has supported the platform since 2021, beginning with migration from legacy systems to AWS-based architecture.

Associated Press
May 28th, 2026
Reply launches production-ready AI applications to accelerate enterprise adoption

Reply has released a new set of Prebuilt AI Apps, production-ready agentic applications designed to accelerate enterprise AI adoption. The ready-to-use solutions combine process knowledge, curated datasets, domain ontologies and agentic workflows to deliver immediate operational value. The applications address key enterprise areas including credit evaluation, compliance assessment, manufacturing intelligence, HR processes, procurement and content production. They can be customised and integrated with existing enterprise systems whilst maintaining governance controls. Reply's Prebuilt AI Apps aim to help organisations transition from AI experimentation to scalable deployment by providing structured starting points that reduce initial complexity. The solutions automate recurring activities, improve decision-making through structured context and enhance user experience via conversational interfaces. The applications support industries including banking, critical infrastructure and manufacturing.

Business Wire
May 14th, 2026
Reply launches Model Factory to build custom generative AI models from enterprise data

Reply has launched Model Factory, an industrial production line for building generative AI models grounded in corporate knowledge. The platform enables organisations to train AI models using their internal documentation, software repositories, business data and domain expertise within secure vaults. The factory industrialises data preparation, training, evaluation and deployment through a controlled lifecycle. Its training layer includes pre-training for domain awareness, supervised fine-tuning for specific tasks, reinforcement learning for policy alignment, and distillation for efficient deployment. Each model is released as a versioned enterprise asset with quality controls and EU AI Act compliance. Reply CEO Tatiana Rizzante said proprietary models will become key strategic differentiators, allowing companies to transform distinctive assets into governed AI models that remain under their control whilst enabling continuous improvement and specialisation.