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At a glanceSummarised by Seekless from the posting.
Must have8
8+ years building production systems
Several years as the technical owner of a platform used by multiple teams
Deep expertise in distributed system architecture
A track record of leading design across multiple teams and pulling divergent efforts into a single architecture
Hands-on depth in AI agentic systems: model APIs, prompt orchestration, tool-calling, evaluation, and agentic data pipelines
Demonstrated influence on engineering culture and hiring: standards you set, loops you designed, engineers you grew
Product-first thinking and 0-to-1 experience
Work with product and business stakeholders across functions and geographies
Skills
model APIs
prompt orchestration
tool-calling
evaluation
agentic data pipelines
About the company
About Loop: Loop AI is an agentic AI platform for the back office of the real economy. Today we build end-to-end agentic workflows for enterprises; our goal is for users to build and manage agents themselves. Founded in 2022, we’re trusted by 300+ brands powering thousands of locations across the US, backed by a $14M Series A led by Nyca Partners, with teams in New York, San Francisco, Tampa, and Bengaluru.
We’re built by a world-class team. Several of us are ex-founders who scaled our own companies to multiple millions in ARR before joining hands at Loop to execute on a bigger shared vision — alongside operators and AI engineers from Stanford, Harvard, Wharton, Uber, Google, Amazon, and McKinsey.
We believe agentic products are the future of the software–human interface, and restaurants were only the beginning. Flat hierarchy, lean high-impact team, radical ownership, no bureaucracy — this is your chance to help steer the rocketship.
About the role
About the Role: We’re built by a world-class team. Several of us are ex-founders who scaled our own companies to multiple millions in ARR before joining hands at Loop to execute on a bigger shared vision — alongside operators and AI engineers from Stanford, Harvard, Wharton, Uber, Google, Amazon, and McKinsey.
We believe agentic products are the future of the software–human interface, and restaurants were only the beginning. Flat hierarchy, lean high-impact team, radical ownership, no bureaucracy — this is your chance to help steer the rocketship.
As a Staff Engineer, you own technical direction across multiple pods. You lead the system designs that shape how Loop’s agentic platform works, drive the initiatives nobody has scoped yet, and stay hands-on in the code where it matters most.
You also build the engineering culture: the standards we hold in review, how we hire, and who we hire. You will work directly with product, GTM, and leadership to translate where the company is going into what engineering builds next.
We hire for end-to-end ownership, product curiosity, and the hunger to raise the bar for everyone around you.
Key Responsibilities:
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Lead system design across pods: Own the architecture for Loop’s highest-impact systems, resolve the hard cross-team tradeoffs, and make sure independent pods build toward one coherent platform rather than three overlapping ones.
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Drive new engineering initiatives: Take on the problems that arrive as a vague ambition, define the technical bet, prove it with a prototype, and hand a working foundation to a pod.
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Stay hands-on: Write code on the hardest parts. Lead by shipping, not by diagram.
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Build the engineering culture: Set the bar for design review, code review, testing, and operational discipline, and mentor senior engineers into people who set that bar themselves.
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Own hiring: Identify what roles the org needs and when, shape the interview loop, and run technical interviews for senior and staff hires.
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Work with stakeholders: Partner with product, GTM, and leadership to turn business direction into a technical roadmap, and tell them plainly what is expensive and what is not.
What We’re Seeking:
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8+ years building production systems, including several years as the technical owner of a platform used by multiple teams.
•
Deep expertise in distributed system architecture. You can design across services, defend the tradeoffs, and see the failure mode two quarters ahead.
•
A track record of leading design across multiple teams and pulling divergent efforts into a single architecture.
•
Hands-on depth in AI agentic systems: model APIs, prompt orchestration, tool-calling, evaluation, and agentic data pipelines. You still write the code.
•
Demonstrated influence on engineering culture and hiring: standards you set, loops you designed, engineers you grew.
•
Product-first thinking and 0-to-1 experience. You work with product and business stakeholders across functions and geographies, and you judge your work by what customers get.