Business Development Manager ( Software )

Universal Access and Systems Solutions Inc.; Pasig; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Universal Access and Systems Solutions Inc. is seeking a seasoned Business Development Manager to drive growth by identifying opportunities and crafting software and AI solutions that deliver measurable business value.

You will collaborate with Sales, Presales, Technical, Engineering, Delivery, and vendor teams to develop winning proposals and compelling client presentations. The role requires leading discovery sessions, sizing opportunities, and translating requirements into practical,

Qualifications

• 5+ years in solutions architecture, presales engineering, business development, or software development with customer-facing exposure.
• Strong understanding of SDLC/methodologies (Agile/Scrum, CI/CD).
• Experience translating business needs into technical designs and BOMs.
• Exposure to API design/integration concepts (REST, SOAP) and MCP-like frameworks.
• Familiarity with enterprise infrastructure and security platforms (Cisco/Splunk).
• Demonstrated ability to scope, size, and cost software and AI solutions.

Responsibilities

• Partner with account managers to qualify opportunities and shape winning software/AI strategies.
• Lead technical discovery sessions translating business requirements into technical designs.
• Size software/AI requirements, licensing, and BOM for accurate proposals.
• Prepare and deliver technical presentations, demos, and PoCs to clients.
• Respond to RFPs/ToRs ensuring accuracy and completeness of solutions.
• Support contract discussions by clarifying scope, assumptions, and exclusions.

Skills

Consultative selling

Business acumen

Excellent communication

Public speaking

Cross-functional collaboration

Self-motivated learner

Education

Bachelor's degree in CS/IT/Engineering

Tools

Cisco

Splunk

Claude Code

GitHub Copilot

Job description

Business Development Manager (BDM)

The Business Development Manager (BDM) is responsible for driving business growth by identifying new opportunities, understanding client needs, and developing software and AI solutions that deliver measurable business value. The role works closely with Sales, Presales, Technical, Engineering, Delivery, and vendor teams to develop winning solutions, support proposals and client presentations, and ensure that proposed solutions are technically feasible, commercially viable, and aligned with customer requirements.

Responsibilities

• Partner with account managers and sales engineers to qualify opportunities, understand customer business drivers, and shape winning software and AI solution strategies.
• Lead technical discovery sessions with customers to translate business requirements into
• Scope and size software and AI requirements — effort estimation, licensing, infrastructure sizing, and cost modeling — to support accurate proposals and Bill of Materials (BOM).
• Prepare and deliver compelling technical presentations, demos, and proofs of concept (PoCs) to prospective and existing clients.
• Respond to RFPs/RFQs and Terms of Reference (ToR) compliance sheets, ensuring technical accuracy and completeness of proposed solutions.
• Support contract and SOW discussions by clarifying technical scope, assumptions, and exclusions.

Solution Architecture & Technical Design

• Design end-to-end software solution architectures, including application, integration, data, and AI/ML components, aligned to customer requirements and industry best practices.
• Apply working knowledge of the Software Development Life Cycle (SDLC) — Agile, Waterfall, and hybrid methodologies — to plan realistic project timelines and delivery approaches.
• Design and validate API integrations and MCP (Model Context Protocol) connections between AI/software platforms and infrastructure systems such as Cisco, Splunk, and other network, security, and observability platforms.
• Build and demonstrate integration prototypes and automation workflows to validate solution feasibility before handoff to delivery teams.
• Produce High-Level Design (HLD) documents, architecture diagrams, and technical documentation to support proposals and project delivery.
• Collaborate with delivery, engineering, and vendor teams to ensure proposed solutions are implementable and supportable post-sale.
• Provide architectural oversight and governance during implementation to ensure the delivered solution matches the approved design.
• Serve as the design authority for change requests and scope adjustments after handoff.
• Produce and maintain architecture deliverables (HLD, and where needed LLD inputs) that comply with UNVRS SDLC phase-gate requirements and traceability standards.
• Contribute reference architectures and reusable design frameworks to UNVRS's internal IP.
• Help define and maintain solution architecture standards, patterns, and the approved technology stack for UNVRS engagements.

AI Enablement

• Use AI coding assistants (e.g., Claude Code, OpenAI Codex, or similar tools) to rapidly prototype integrations, automate repetitive tasks, and accelerate solution design.
• Evaluate and recommend AI tools and platforms that improve the speed and quality of presales, scoping, and quality assurance work.
• Champion the adoption of AI-assisted workflows within the presales team, including compliance-sheet response drafting and QA review.
• Perform quality assurance review of proposals, BOMs, and compliance matrices to ensure technical accuracy, consistency, and alignment with customer requirements before submission.
• Maintain reusable solution templates, reference architectures, and sizing tools to improve team efficiency and proposal turnaround time
• Design agentic AI and retrieval-augmented (RAG) solution components including orchestration, workflow automation, and model integration — into client and internal solutions.

Business Strategy

• Analyze market trends, competitor offerings, and customer demand.
• Recommend new software solutions, managed services, and AI offerings.
• Develop go-to-market strategies for new software products.
• Identify opportunities for productization and recurring subscription services.
• Collaborate with Marketing on campaigns, webinars, events, and customer enablement activities.

Core Competencies & Soft Skills

• Consultative selling mindset with strong business acumen and the ability to align technology recommendations to customer outcomes.
• Strong verbal and written communication skills, able to simplify complex technical concepts for non-technical stakeholders.
• Confident public speaker comfortable leading executive presentations, workshops, and technical demonstrations.
• Detail-oriented with strong QA discipline, able to catch inconsistencies in proposals and
• Collaborative team player able to work cross-functionally with sales, delivery, and vendor
• Self-driven learner who stays current with emerging AI tools, platforms, and integration patterns.

Tools & Technologies

• Infrastructure/Platforms: Cisco, Splunk, and related network, security, and observability platforms.
• AI Development Tools: Claude Code, OpenAI Codex, and similar AI coding assistants.
• Integration: REST/SOAP APIs, MCP (Model Context Protocol), webhooks, automation scripting.
• Presales Deliverables: Bill of Materials (BOM), High-Level Design (HLD) diagrams, compliance/ToR response sheets, proposals, and SOWs.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
• 5+ years of experience in a solutions architecture, presales engineering, business development, or software development role, with direct customer-facing exposure.
• Strong understanding of the SDLC and modern software development practices (Agile/Scrum, CI/CD, version control).
• Hands-on experience with API design/integration concepts (REST, SOAP, webhooks) and exposure to MCP (Model Context Protocol) or similar AI-tool integration frameworks.
• Working knowledge of enterprise infrastructure and security platforms such as Cisco (networking/security) and Splunk (observability/SIEM), or equivalent platforms.
• Practical experience using AI-assisted development tools such as Claude Code, GitHub Copilot, OpenAI Codex, or similar.
• Demonstrated ability to scope, size, and cost software and AI solutions, and to translate technical designs into Bills of Materials and proposals.