Lead full-cycle sales of AI solutions to construction industry clients, driving adoption of agentic AI workflows.
Compensation
Base Pay Range:
147,200.00 - 202,400.00 AUD Annual
On Target Earning Range:
294,400.00 - 404,800.00 AUD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
Responsibilities
Partner with sales leadership, solutions teams, and account executives to identify and engage general contractors, specialty contractors, and asset owners ready to implement agentic AI workflows.
Lead deep technical discovery with client executives and operational teams, analyzing workflows across submittals, RFIs, estimating, contracts, and financials to uncover measurable business ROI.
Build and deliver tailored technical demonstrations, proofs of concept, and production-ready pilots showcasing LLM-based agents, MCP integrations, and API workflows using client-specific project data.
Configure, tune, and troubleshoot standard and domain-specific AI agents, establishing clear boundaries between standard platform capabilities and custom builds.
Own the full commercial sales cycle from qualification through proposal, pricing, and close, structuring contracts based on consumption sizing, platform credits, and phased adoption models.
Junior Backend Developer responsible for implementing business logic, building application components, integrating third‑party services, and collaborating with cross‑functional teams.
Responsibilities
Translate user and functional requirements into technical implementations
Design and build application components
Write clean, efficient and reusable code
Integrate third‑party libraries and external APIs
Debug applications and resolve issues
Requirements
Bachelor’s degree in Computer Science, Engineering or another applied science
Design and build agentic solutions and in-product AI assistants for end users, build MCP servers and tool integrations, build retrieval pipelines, integrate LLM providers, work with engineers, document architecture.
Responsibilities
Design and build agentic solutions and in-product AI assistants for end users
Build MCP servers and tool integrations so LLMs can safely work with the product's APIs and data
Build retrieval (RAG) pipelines and manage how much load AI features put on the production database
Integrate LLM providers and manage prompts, structured output, validation, cost and failure handling
Work with the existing engineers on feature development when needed
Requirements
Nice to have: AI assistants in SaaS product
Nice to have: Java front-end experience (React, Vue or Angular)
Nice to have: protecting production database from heavy AI workloads
Design, develop, test, and maintain scalable database pipelines and data platforms to support business decision-making.
Compensation
Salary Range: $95,000 - $115,000 This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements.
Responsibilities
Designing, developing, testing, and maintaining scalable database pipelines
Implementing ETL and data conversion processes
Conducting ad-hoc data extraction and complex analysis
Providing technical support and guidance on database security, backup and recovery
Developing and enhancing data governance and analytics platforms
Requirements
Bachelor’s degree in Computer Science, Technology, or a related field