Reverse Recruiter Wanted – Place Me in $300k+ Senior AI Roles

Reverse Recruiter Wanted – Place Me in $300k+ Senior AI Roles

Reverse Recruiter Wanted – Place Me in $300k+ Senior AI Roles

Upwork

Upwork

Remote

16 hours ago

No application

About

I’m seeking a top-tier recruiter who knows how to place senior AI engineers into the $300k+ roles at companies like OpenAI, Anthropic, DeepMind, or frontier startups. What I Bring Founder-engineer who scaled applied AI products to 5,000+ users. Expertise in synthetic data, RAG pipelines, agent frameworks, and model alignment. Open-source track record with reproducible training pipelines and automation systems. Proven 0→1 velocity: idea to production in less than 24h, systems delivering ROI in weeks, not months. What I Need From You You’ve placed talent in $300k+ AI roles at top labs or emergent tech companies. You know exactly what these companies look for in senior hires. You can run mock interviews on the clock, then give me diagnostic feedback: where I fell short, what to train, and what 10/10 looks like. Together, we iterate until I’m ready—and then you place me. Why Work With Me This isn’t just another candidate search. You’ll partner with someone already proven at the cutting edge of applied AI automation. I want a recruiter who will coach, refine, and close—and get paid when I land. 👉 If you’ve placed at this level before and want a candidate who can actually deliver at the frontier, let’s talk. You may be a placement recruiter driving me through pipelines, or a senior insider recruiter who only wants to run high-level mock loops. Both roles are welcome — quote accordingly (hourly or placement commission) Current placement Strategy I’m not approaching this as “job hunting.” I’m building a systematic placement strategy to land in the optimal role at the frontier of AI, AI DevOps, or AI Automation. This strategy is deliberate, evidence-driven, and designed for comp at $300k+. I’m looking for recruiters who can plug into this system, either as placement specialists or as insider interview coaches from top labs. Placement Strategy Our placement process considers all the variables that actually matter at this level: Quality of fit with my existing skillset. Total compensation (salary, equity, perks) optimized as a package. Market demand leverage → aiming for the highest-demand applications of my skills, not just what’s available. Current evidence of fit → ensuring recruiters and hiring managers can see proof quickly and clearly. From this foundation, we: Identify skill gaps investors and hiring managers care about at $300k+. Cover those gaps strategically: starting with the highest-leverage fixes (e.g., reframing skills that already exist but aren’t visible on paper). Acquire missing skills at 10x pace, publishing open source work on GitHub as a visible trail of proof. Run mock interview loops with actual recruiters from OpenAI, Anthropic, and other AI powerhouses. These specialists provide precise feedback (“here’s where you’d fail onsite”). I learn, adapt, publish, and repeat until I’m interview-ready at a 10/10 level. This creates a self-reinforcing feedback loop: recruiters define what matters → I rapidly upskill with AI-augmented learning → I publish evidence → we retest. Think of it as a real-world college, except the curriculum is defined by the companies that actually hire. What I’m Looking For I’m open to two types of recruiter partnerships: Placement Recruiters (Commission-Based): Drive outreach, pipeline placement, negotiation, and closing offers. Specialist Recruiters (Hourly/Consulting): Current or former recruiters from OpenAI, Anthropic, DeepMind, or similar. You run mock interviews, give surgical feedback, and help me align to the exact bar these companies use. 👉 Quote based on your role. You might handle grunt work, high-level surgical coaching, or both. Why Work With Me Founder-engineer who scaled applied AI products to 5,000+ users. Expertise in synthetic data, RAG, agent frameworks, model alignment, and production deployment. Open-source record of reproducible pipelines and frameworks. Committed to iterative refinement until I’m a top 1% candidate in this market. Deliverables Placement into a $300k+ AI/AI Automation/AI DevOps role. Transparent, adaptive process: mock → feedback → upskill → evidence → repeat until 10/10 hire. My Always up to date current resume: https://docs.google.com/document/d/1cWjWwEqBbB24uZDz0Ib_TeEfGcplwkmW5t4_vZWnepY/edit?usp=sharing