Sales Engineer (AI)

Location: On-site in Jakarta, Indonesia

Company

hirify.global provides an AI and knowledge platform connecting data, business context, and AI across cloud, on-premises, and hybrid environments.

What you will do

• Lead technical discovery, architecture design, solution validation, competitive positioning, and technical responses during enterprise sales cycles.
• Analyze customer environments, business challenges, data volumes, query concurrency, performance targets, and technical requirements.
• Develop and present tailored architecture proposals demonstrating how hirify.global meets customer needs.
• Design and deliver proof-of-concepts and benchmarks using representative workloads and data, including setup, testing, analysis, and stakeholder presentations.
• Create sandbox environments and demonstrate Compute Engine and Elastic Compute capabilities across cloud and hybrid environments.
• Partner with Sales, Product, Engineering, Field Marketing, partners, and account teams, while transitioning won opportunities through structured technical handovers.

Requirements

• Eight or more years of experience in presales, sales engineering, or solution architecture, focused on Growth motions and competitive enterprise sales cycles.
• Demonstrated contribution to new-logo wins, including completed proof-of-concepts, technical evaluations, and competitive deals.
• Practical experience with AWS, Microsoft Azure, or Google Cloud and strong knowledge of cloud-native and hybrid data platforms.
• Hands-on SQL and Python skills, with the ability to design, size, and deliver technical solutions in live customer environments.
• Knowledge of data platform architecture, parallel processing, lakehouse patterns, streaming ingestion, query performance, workload sizing, and benchmarking.
• Experience supporting Growth pursuits in APJ markets such as Australia, Japan, ASEAN, Korea, or Taiwan.

Nice to have

• Understanding of retrieval-augmented generation, embedding models, vector stores, similarity search, and enterprise large language model workflows.
• Experience using AI Studio or a comparable platform in customer demonstrations or proof-of-concepts.
• Industry knowledge in financial services, retail and consumer goods, public sector, or manufacturing and supply chain.
• Degree in computer science, software engineering, mathematics, data science, or a related field, or equivalent professional experience.

Culture & Benefits

• People-first culture focused on employee well-being and professional growth.
• Flexible work model supporting decisions about how, when, and where work is performed.
• Inclusive environment that values and celebrates individual backgrounds.