Presales Solution Consultant

Job Description

• Own the technical win from first engagement to signature. Partner with AEs on account strategy, opportunity qualification, stakeholder alignment, and deal progression. Identify technical decision criteria, competitive risks, and approval dependencies; resolve technical objections and secure customer acceptance of the proposed solution before contract signature.
• Engage decision-makers. Lead discovery and solution discussions with key stakeholders in KA account, CIOs, CTOs, and their operations teams. Connect executive priorities, investment criteria, architecture requirements, and operational needs to a clear purchasing decision.
• Own solution design. Translate business and technical requirements into solution architectures, integration designs, deployment options, and a clearly defined scope. Validate APIs, SIP connectivity, SSO, data flows, database dependencies, and integrations with CRM, contact center, and other enterprise systems.
• Build the ROI model and business case. Establish customer baselines and quantify expected value, costs, implementation assumptions, payback, and operational impact. Validate assumptions with customer stakeholders and equip AEs and economic buyers with an evidence-based investment case.
• Own the full PoV cycle through commercial closeout. Agree technical and business success criteria and the purchasing next steps upfront; scope, plan, and execute the PoV; analyze results; and own the final findings and executive readout. Secure agreement on outcomes, address remaining objections, and translate validated value into a customer commitment and a clear path to contract signature with the AE.
• Deliver tailored demonstrations and AI validation. Build customer-specific demos and use GPT, Gemini, and Claude and AIRudder’s self-developed LLM model hands-on to prototype and evaluate relevant use cases. Assess response quality, LLM latency, end-to-end conversational performance, and integration feasibility against agreed customer requirements.
• Lead cloud and on-premises technical deal work. Assess SaaS/cloud and on-premises deployment requirements, explain architecture and cost trade-offs, and coordinate technical, security, privacy, infrastructure, and data residency reviews with the appropriate specialists.
• Own RFI/RFP solution responses. Lead solution design, technical compliance responses, scope definition, and supporting evidence for bids and proposals. Coordinate inputs from Product, Engineering, Security, and other specialists, and present and defend the proposed solution in customer evaluations.
• Manage a portfolio of key-account opportunities. Prioritize presales effort across Singapore and ASEAN based on deal stage, revenue potential, strategic value, and technical risk. Maintain clear technical milestones, decision criteria, dependencies, and next steps with AEs.
• Ensure continuity into delivery. At deal closure, hand over the agreed solution, scope, assumptions, acceptance criteria, and commitments to delivery and Customer Success teams. Bring recurring customer requirements and competitive insights back to Product and Engineering.

Requirements

Minimum Qualifications:

• 5+ years of presales experience in enterprise SaaS, AI, or enterprise software, with direct ownership of the technical workstream on live sales opportunities through contract signature. A demonstrated record of contributing to closed deals and the ability to explain your role in qualification, technical validation, buyer alignment, and closing decisions are essential.
• Experience handling key accounts in Singapore and across ASEAN, partnering with AEs and engaging economic buyers, CIOs, CTOs, and enterprise buying committees.

Strong hands-on understanding of APIs, SIP, SSO, SaaS architecture, data flows, and database fundamentals, with the ability to validate integration feasibility and explain technical trade-offs to customer teams.

• Experience supporting and winning SaaS/cloud and on-premises deals, including deployment architecture, infrastructure dependencies, security reviews, and solution scoping during presales.

Practical understanding of LLM latency and its impact on real-time conversational experiences, including the ability to measure performance, diagnose bottlenecks with technical teams, and explain quality, latency, and cost trade-offs.

• Hands-on experience with GPT, Gemini, and Claude or equivalent LLM models for prototyping, prompt iteration, use-case evaluation, and customer-facing demonstrations, with an understanding of their practical capabilities and limitations.
• Proven ownership of PoV engagements from success-criteria definition and execution through executive readout, customer acceptance, and commercial closeout with the AE.
• Ability to produce clear solution designs, defensible ROI models, evidence-based PoV conclusions, and high-quality RFI/RFP submissions.
• Strong commercial judgment and executive communication skills, including the ability to handle objections, navigate competing stakeholder priorities, and connect technical decisions to revenue and customer value.
• Strong written and spoken English, preferred fluent Chinese, with confident presentation, proposal writing, and cross-functional coordination skills.

Preferred Qualifications:

• Conversational AI, voice AI, automation, contact center, or CRM solutions.
• Banking, financial services and insurance (BFSI), government/public sector, telecommunications, or other complex enterprise accounts.
• SQL, Python, Excel, or business intelligence tools for customer analysis, PoV measurement, and ROI modeling.

About AI Rudder

AI Rudder is an AI product company transforming how business communicate to their customers.

We launched in 2019 with one of the world’s first enterprise-grade AI voice agents: built to hold real, intelligent conversations, not just play back scripts. Today, we serve over 500 enterprises across 20+ countries, processing 50 million calls every day and having delivered more than 8 billion calls to date. Our customers range from fast-growing startups to large enterprises.

When AI talks to people, it has to feel human. That’s what we build.

How We Work

AI-first: AI isn’t a tool we reach for. It’s the default we start from. Every team, every workflow: AI-first.

Global Collaboration: We operate globally and work as one team. Distance is a logistics problem, not a cultural one. We build the habits that make distributed teams actually work

Communication Principle: Simple, Trust, Transparent. We remove unnecessary complexity so people can focus on what matters most.

What We Offer

• Learning & Development: Continuous learning through real projects, knowledge sharing session, mentorship, and cross-functional collaboration.
• Performance Recognition: Regular performance reviews, feedback, and opportunities for career progression.
• Global Exposure: Collaborate with international teams, global rotations, and work with global enterprise customers.
• Meaningful Impact: Build AI solutions that create real value for businesses around the world.
• Ownership & Autonomy: Freedom to take initiative and drive outcomes.
• Team Engagement: Team Building, Local & Global Gatherings & Local Events Celebration

AI Rudder is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants.