Phaselaw

Phaselaw

Founding Full-Stack Engineer - Takt

San Francisco Bay Area

Sponsorship not specified$50k-$70kDetected 169 days ago
Full-Stack DevelopmentSQLAzureCloud PlatformsMachine LearningData EngineeringLLMsAgentic AIComplianceSAPSupply ChainERPAerospace EngineeringResearchLeadership

About the role

  • ABOUT TAKT Our Vision: A world where factories think.
  • Factories have spent the last decade digitizing: adding sensors, software, and dashboards everywhere.
  • Yet most factories aren't meaningfully smarter.

Responsibilities

  • We own our decisions.
  • Takt is building the brains of factories.
  • Long-term commitment to the mission, we are building foundational systems, not short-lived features.

Requirements

  • Deep experience with data pipelines, especially cleaning messy, inconsistent real-world data AI-native in approach to coding utilizing new-age tools (e.g. Claude Code) to develop with speed.
  • 2-3 years minimum

Nice to have

  • Experience shipping production AI/ML or LLM systems end-to-end (not research prototypes).
  • Hands-on experience integrating with enterprise systems like ERP, MES, and other data historians (Microsoft Business Central/ SAP)
  • Working knowledge of relational + SQL databases
  • Familiarity with per missioning models, data governance, or SOC2/GDPR.
  • Strong sense of agency and ownership: comfortable making fast decisions and revising them.
  • Willing to learn and can get things done, even if they don't know it from the get-go
  • Thrives with incomplete information
  • Passion for the product: speaks their mind, contributes ideas, and pushes for the best solution

Skills

  • www.taktconnect.com http://www.taktconnect.com
  • Adhitya is from a small village in South India and first learned about factories by working
  • as an operator on his father's shop floor.
  • His journey through squash took him to
  • Princeton (Mechanical & Aerospace Engineering), Harvard (MBA, Baker Scholar), and
  • firsthand in factories and aiming to put a dent in the $8 trillion of waste that occurs in
  • manufacturing globally.
  • Will an MIT PhD has deep experience in optimizing manufacturing processes through
  • physics-based modeling and AI, driven by a belief that advanced methods can
  • fundamentally transform how things are made.
  • Along the way, he built open-source
  • tools and collaborated with engineers across diverse manufacturing sectors, learning

Compensation

  • Prior experience: 2-3 years minimum
  • You will be the first engineering hire and will work directly with the founders to build the
  • core intelligence engine that powers modern factories.
  • You will help design, build, and
  • deploy systems across the entire stack and influence the earliest product, infrastructure,
  • and architecture decisions.

Benefits

  • Equity: To be discussed (0.5-1%)
  • This means putting in the hours consistently and also making harder short term decisions for long term benefits

Company info

  • Its always day 1 and we are an empty cup, a dry sponge ready to learn.
  • Approaching every action with humility and scientific rigor and adopting a Kaizen mindset.
  • Shipping and moving quickly, makes practical choices, and delivers value to customers
  • Long-term commitment to the mission, we are building foundational systems, not short-lived features. This means putting in the hours consistently and also making harder short term decisions for long term benefits
  • We are dreamers who build a better world.
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This listing is sourced directly from Phaselaw's careers page and normalized into a canonical job model.