Parspec transforms the $15 trillion construction industry by digitizing and structuring product data across the entire materials supply chain. Using proprietary AI, it maintains a real-time catalogue of millions of construction products, allowing designers, builders, distributors, manufacturers, and sales agents to instantly locate the best options for their projects. The platform’s comprehensive, up-to-date inventory streamlines procurement decisions and reduces lead times, while its data-driven insights support more sustainable building practices. Trusted by top industry players and backed by leading venture investors, Parspec is redefining how construction professionals discover and select materials.
Open Positions
Senior Software Engineer - 1 (Application Pod | Frontend)
5+ years of experience, understanding of Lerna JS, monorepo architecture, and knowledge of Typescript, Javascript, React JS, and Angular JS
Staff Engineer - Applied ML (Search & Recommendations)
2+ years of experience, Bachelor's or Master's degree in Science or Engineering with strong programming and analytical skills
Senior Customer Success Manager
5+ years of experience in Customer Success, 2+ years leading enterprise implementations, and proven track record of building relationships with executive stakeholders
Customer Enablement Specialist, Customer Success
1-3 years of customer-facing experience, strong presentation skills, and a passion for teaching and coaching
Senior SDET (Software Development Engineer in Test)
5+ years of experience as an SDET, QA Automation Engineer, or Software Engineer in backend or platform systems. Strong coding skills in Java, Python, Go with proven experience in building or maintaining automation frameworks
Software Engineer - 2 (Application Pod | Frontend)
3+ years of experience as a frontend developer with proficiency in TypeScript, JavaScript, and React.js
QA Lead
Bachelor's degree in CS or related field. 7+ yrs QA exp. & 2-3 yrs as QA leadership. Proficiency in automation & CI/CD
Machine Learning Engineer - 2
3+ years of experience in a Science or Engineering field, strong machine learning and deep learning skills, and ability to write clean, efficient code
Senior Machine Learning Engineer - 1
Bachelor's/Master's in related field + 5+ years ML/Data science experience + LLM experience. Strong conceptual understanding of ML/DL and programming skills
Human Resources Intern
Current degree in HR or related field, strong organizational and communication skills, attention to detail
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