Clera
Singapore
Forward-Deployed / Applied Research Engineer
- AI
- Docker
- Linux
- Python
AI Summary
Build and scale the go-to-market pipeline for an early-stage AI infrastructure company, focusing on outbound sales, CRM automation, and technical messaging for ML engineers and AI researchers. Requires 2+ years of GTM/commercial experience, technical background, and hands-on GTM systems expertise. Must engage with technical buyers and optimize conversion metrics.
Key Highlights
Build and scale GTM pipeline for AI infrastructure tools
Hands-on GTM systems (CRM, sequencing, lead scoring)
Engage with ML engineers, AI researchers, and technical buyers
Key Responsibilities
Own outbound pipeline from prospect targeting to meeting booking
Build and maintain GTM tooling (CRM automations, lead scoring, custom GTM systems)
Develop and refine messaging for technical buyers (ML engineers, AI researchers)
Track and optimize pipeline metrics for conversion
Partner with founding team to improve GTM playbook
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Technical Skills Required
Benefits & Perks
Base salary: $100,000 to $170,000 USD annually
Visa sponsorship available
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Nice to Have
Familiarity with reinforcement learning concepts (environments, evaluations, benchmarks)
Experience selling developer tools, infrastructure, or AI/ML products
Early-stage startup experience
Job Description
About the Role
Join an early-stage AI infrastructure team and help build its go-to-market motion from the ground up. You will connect engineering and revenue, creating scalable systems to reach technical buyers and grow adoption of tools for building and evaluating AI models.
What You'll Do
Own the outbound pipeline from prospect targeting and enrichment through outreach, follow-up, and meeting booking.
Build and maintain outbound sequences, CRM automations, lead scoring, and custom GTM tooling.
Use AI tools, scrapers, and workflow automation to increase the reach and efficiency of GTM work.
Develop and refine messaging for ML engineers, AI researchers, and engineering leaders.
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