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Pear VC

Founding Full-Stack Engineer - Takt

San Francisco Bay AreafulltimemidAdded 1 month ago

About this role

Takt is looking for a Founding Full-Stack Engineer to be the first engineering hire, collaborating with the founders to create the intelligence engine that enhances factory operations. The role involves designing, building, and deploying comprehensive systems that transform data into actionable insights.

What you'll do

  • Collaborate with founders to develop core product technology
  • Design and implement full-stack systems for factory intelligence
  • Influence product and system architecture from the ground up
  • Deploy and maintain software solutions across the manufacturing stack
  • Work closely with various teams to ensure operational efficiency

What they're looking for

  • Proficiency in full-stack development
  • Experience with AI and machine learning applications
  • Strong problem-solving abilities
  • Familiarity with manufacturing processes
  • Data analysis and visualization skills
  • Ability to work in high-stakes environments
  • Excellent communication and teamwork skills
  • [unknown]

Benefits

  • Competitive salary range of $120-180K
  • Equity options (0.5-1%)
  • Opportunity to work in a dynamic startup environment
  • In-person collaboration in San Francisco
  • Flexible working hours with space for personal interests
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Pear VC

Pear VC invests in and supports AI-driven enterprise software companies building automation platforms, compliance systems, and specialized tools across industries like financial services, insurance, and software development. The portfolio companies are hiring founding and senior engineers to design core infrastructure, build AI systems, and develop scalable backend platforms alongside their leadership teams.

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Likely interview questions

  • Tell us about a time you built a full-stack feature end-to-end. How did you approach the architecture and what were the key trade-offs?
  • This role involves orchestrating AI agents with operational context across manufacturing systems. What experience do you have integrating AI/ML models into production applications?