Select Case Studies

Multi-Stage Venture Portfolio

0-to-1 Engineering & Leadership Scaling

Talent advisor across 16 VC portfolio companies, Pre-Seed through Series C+

The Situation

Early-stage founders pitching pre-revenue vision against Big Tech compensation and established scaleups. Deep-tech startups across AV, autonomous flight, EV, robotics and infrastructure needed executive-search rigor adapted for early-stage speed.

The Delivery

Applied executive-search rigor to place founding engineers, Chief Engineers, and first-in-kind leadership across GTM, Government Relations, Cybersecurity, Finance and Marketing — co-crafting candidate narratives with CEOs so pre-revenue startups could compete and win against incumbents. Built core teams that secured initial commercial deals, major government contracts and 3 major funding rounds. Created 3 unicorns with multi-billion-dollar valuation expansions, including a marquee deep-tech concept taken from 0 to working prototype in under 12 months.

Public Tech Enterprise

0-to-1 AI Lab Buildout & Enterprise Transformation

Built an in-house AI capability from scratch, then rebuilt critical cross-functional teams

The Situation

An established public technology enterprise needed an advanced, in-house AI capability from the ground up — while competing directly against deep-pocketed Magnificent 7 giants and hyper-funded VC startups for scarce ML and Staff-level engineering talent.

The Delivery

Designed and executed the recruitment strategy for the initial AI Leader and founding team, structuring custom compensation models, high-upside equity narratives and speed-optimized offer processes to outmaneuver traditional enterprise hiring friction. Scope expanded post-launch to rebuild critical cross-functional teams across Data, ERP infrastructure and Cybersecurity. First 10 core AI hires landed in 5 months, and the team scaled to 70+ high-impact placements across AI, Data, ERP and Cybersecurity — beating out Mag 7 incumbents and VC-backed startups along the way.

Decentralized Infrastructure

Deep-Tech Sourcing & Mainnet Launch

Deep-technical vetting and cross-border recruiting across EU and US to hit critical protocol milestones

The Situation

A decentralized data infrastructure startup needed extremely scarce, specialized talent across Zero-Knowledge Cryptography, Distributed Systems and Machine Learning. With candidate pools scattered across Europe and the US, the team required deep technical vetting and a cross-border recruiting strategy to hit critical protocol milestones.

The Delivery

Embedded with internal leadership to source and engage passive researchers and core engineers across European tech hubs and the US — navigating complex international hiring, cross-border compensation expectations and niche deep-tech positioning. Secured the critical skill sets directly responsible for protocol security, cryptography primitives and distributed ML architecture, closed the core cryptography and ML engineers required to execute a secure mainnet deployment, and built the high-performing distributed engineering team across European deep-tech hubs and the US whose hires enabled major enterprise customer contracts.

Humanoid Robotics

Transatlantic Expansion & 2x Headcount Scale

Talent partner for doubling headcount and establishing a Silicon Valley headquarters

The Situation

A high-growth humanoid robotics pioneer expanding from Europe into the US needed to double its team while establishing a new Silicon Valley headquarters. The company required elite hardware and physical AI talent across Embodied AI, Deep RL, Mechatronics and Robotic Hands, alongside leadership who could bridge European and US corporate cultures.

The Delivery

Embedded as talent partner to C-level and VP leadership to manage headcount planning, organizational design and transatlantic talent acquisition. Coached European VPs on competitive US executive recruiting, pitching high-upside equity packages and closing top-tier Silicon Valley leaders. Executed searches across full-stack robotics — embedded controllers, mechatronics, deep reinforcement learning, imitation learning and dexterous manipulators — doubling total headcount from 100 to 200+ people in under 12 months without diluting technical quality, recruiting Silicon Valley leaders to spearhead the new US headquarters, and placing principal specialists across EE, ME, Embodied AI, Deep RL and Dexterous Hands.