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💼 Full-time🗓 2026-06-25

Core

Fractional advisor providing strategic guidance on engineering team structuring, scaling, and hiring for a workforce intelligence platform.

Role type

Fractional CTO / Technical Advisor

Builds

Engineering organization and talent acquisition for a US-based tech startup

Domain

SaaS / Workforce Intelligence

Deliverable

client delivery

Required skills

CTO experience in early/growth-stage startups, scaling engineering teams from zero to 50+, technical evaluation of AI/DevOps/Data Science/Full-Stack roles, org design expertise

Responsibilities

Co-own interview process for key engineering hires, design technical interview components, advise on org design and team scaling, serve as technical sounding board for Head of Engineering

Seniority

Senior, hands-on IC

Rewrite
## About Us We're building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. We're a U.S.-based tech company with a high bar for talent, ownership, and execution, and we're intentional about building a strong, globally distributed team from the start. ## About the Work Problem: Our Head of Engineering is most focused on building and is looking for ongoing guidance on structuring and scaling their engineering team. We are looking for a fractional advisor for approximately 10-15 hours a week. Specifically, you'll: - Co-own the interview process for our key engineering hires, including: - DevOps Engineer (priority) - Data Scientist (priority) - Windows & Mac engineers - Full-stack web engineers - Design the technical portion of the interview process yourself, and either run the interviews or bring in trusted specialists to help us assess skills - Advise our Head of Engineering on org design and team scaling strategies - Beyond hiring, serve as a technical sounding board for our Head of Engineering ## About You You MUST have: - Been a CTO for other early and growth-stage VC-backed tech startups - Scaled engineering teams from roughly zero to 50+ engineers within the last few years - A technical skillset that can confidently evaluate candidates across a range of roles from AI, DevOps, Data Science, Full-Stack, etc. - Built engineering teams with a technically complex product - Based in the USA only ## Compensation We offer competitive pay based on the market and where you're located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.
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