# FutureTech Recruitment — Engineering Manager

- Generated: 2026-09-10 06:28:16 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4463896797/
- Provider: LinkedIn
- Posted: approximately 2026-09-09 01:28 PM EDT (from '17 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: 57 applicants
- Work model/location: Fully remote — United States or Canada
- Compensation: $250,000-$300,000 base plus equity
- Travel: In-person offsite every six weeks; duration not disclosed, so percentage cannot be verified against Keith's 5% ceiling
- Positioning track: Technical manager
- Fit outcome: PASS — 92%

## Direct-match strengths

Long engineering-management record, teams of 8-25, hiring, performance management, budget/headcount ownership, distributed Agile delivery, production AI agents, AI-native engineering, voice interaction, and customer-focused SaaS execution.

## Hard or material gaps

Travel cadence is disclosed but trip duration is not, so compliance with the 5% ceiling cannot be confirmed. Haskell and JavaScript are stack context rather than stated requirements and are not claimed. The role is deliberately people-manager-first and will use less of Keith's hands-on architecture depth.

## Evidence map

1. 10+ years engineering and 5+ years managing 8+ (weight 3, evidence 3/3) — More than 20 years of engineering leadership; teams of 8-25 across multiple companies.
2. Hiring, career development, performance, budget/headcount (weight 3, evidence 3/3) — Direct hiring, reviews, bonus allocation, and budgets up to $900K.
3. Predictable, high-quality delivery (weight 3, evidence 3/3) — Multiple production products and platforms delivered under direct accountability.
4. AI-native team enablement (weight 3, evidence 3/3) — Built AssistX and mentored engineers in Codex/AI-assisted development.
5. Hands-on AI fluency (weight 3, evidence 3/3) — Built production LLM, RAG, agent, evaluation, voice, and AWS systems.
6. Product and customer-value partnership (weight 2, evidence 3/3) — Direct product ownership, customer discovery, and cross-functional delivery.
7. Conversational/voice AI (weight 1, evidence 3/3) — Direct voice-driven AssistX interfaces and CCaaS workforce platform context.
8. Travel ceiling (weight 2, evidence 2/3) — Cadence is every six weeks; duration is undisclosed.

## Full normalized job description

Engineering Manager
Fully Remote - US or Canada (travel every 6 weeks)
Base $250k - $300k + Equity
FutureTech Recruitment is partnered with a $110M+ funded Series B enterprise AI startup backed by top-tier institutional investors. The company is building and running AI agents in production for large enterprises in a nearly $1 trillion market that is barely 1% automated. This is a genuine AI company shipping a real AI product - not just AI on the website.
They’re hiring an Engineering Manager to join a tight management team of 6 that makes department-wide decisions together. You’ll own hiring, budget, headcount, and career development for a squad of 8-15 engineers - and have a real voice in hiring bar, OKRs, org design, and engineering process. People manager and servant leader first, with enough technical foundation that a team of senior engineers will trust your judgment.
Responsibilities
Lead and grow a squad of 8-15 engineers - own hiring, career development, performance management, and budget/headcount planning
Operate as a peer on a tight management team that meets multiple times per week and collectively owns all engineering department decisions
Set the pace and challenge the status quo - create an environment where great engineers ship fast and learn from failures quickly
Drive predictable, high-quality delivery - stand behind your team’s timelines and outcomes
Make your team AI-native - turn individual AI experimentation into team-level results with better throughput and faster paths from idea to production
Partner with Product, Delivery, and cross-functional teams to keep the squad anchored to real customer value
Requirements
10+ years in software engineering with 5+ years managing engineering teams of 8+ people - including hiring and performance management
People manager and servant leader first - happy to stay out of code reviews and architecture decisions
Was a credible software engineer earlier in career - enough technical foundation that senior engineers trust your judgment
Hands-on AI fluency with something real to show - what you built, what models you used, what worked
Must be based in the US or Canada - willing to travel every 6 weeks for in-person offsites
Experience in conversational AI, voice AI, or real-time infrastructure a nice-to-have
Tech Stack
Conversational AI, Voice AI, Telephony, LLMs, NLP, Machine Learning, Haskell, JavaScript, Python
$110M+ raised, Series B, AI agents running in production for large enterprises, nearly $1T market barely touched. If you’re a servant-leader engineering manager who thrives in high-growth, fully remote environments and wants to own a squad at a genuine AI company, we’d love to hear from you.

## Artifact metadata

- Resume: https://bit.ly/3UAdYxI
- Cover letter: https://bit.ly/4r4FShq
- Validation: PASS — 2-page resume (901 words), 1-page cover letter (230 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No
