We partner with venture-backed startups, AI labs, fintech companies, and global technology firms across the United States and Europe to place exceptional technical and executive talent.
Most of our searches are confidential leadership or highly specialized engineering roles supporting companies building the next generation of AI infrastructure, developer platforms, fintech systems, and cloud-scale products.
If you are interested in learning more about any of the opportunities below, please reach out directly.
Lead engineering and technical strategy for high-growth venture-backed companies building AI-native platforms, fintech infrastructure, and next-generation SaaS products.
Typical Requirements
Experience scaling engineering teams from early-stage to growth stage
Deep experience with distributed systems or AI platforms
Background leading engineering teams of 30–150+ engineers
Startup and venture-backed company experience preferred
Compensation Range
$300,000 – $600,000 base
Equity packages may exceed $2M+
Drive engineering strategy, platform architecture, and product delivery for rapidly scaling companies building AI and developer infrastructure products.
Responsibilities
Build and scale engineering organizations
Lead platform architecture and system reliability
Partner with product leadership to deliver roadmap
Compensation Range
$250,000 – $400,000 + equity
Lead the research and applied ML teams responsible for building advanced AI systems including LLM platforms, recommendation engines, and multimodal models.
Compensation Range
$250,000 – $450,000 + equity
Work on deploying large language models and AI systems into production environments across consumer and enterprise products.
Tech Stack
Python
PyTorch
TensorFlow
LLM APIs
Vector databases
Compensation Range
$180,000 – $300,000 + equity
Design and deploy ML models powering recommendation systems, fraud detection, personalization, and predictive analytics.
Experience
ML frameworks (PyTorch / TensorFlow)
Data pipelines and model training
Experience deploying models at scale
Compensation Range
$200,000 – $350,000 + equity
Build the infrastructure required to train and deploy large-scale machine learning systems.
Responsibilities
GPU infrastructure optimization
Distributed training systems
Model serving pipelines
Performance optimization
Compensation Range
$220,000 – $400,000 + equity
Develop novel machine learning approaches across areas including:
Reinforcement learning
Multimodal models
LLM training and optimization
AI safety and alignment
Compensation Range
$250,000 – $450,000 + equity
Design scalable backend systems and APIs supporting global technology platforms.
Tech Stack
Python
Go
Java
Rust
Microservices architecture
Compensation Range
$170,000 – $260,000 + equity
Build product features across frontend and backend systems.
Tech Stack
React
TypeScript
Node.js
GraphQL
Cloud-native infrastructure
Compensation Range
$160,000 – $240,000 + equity
Join early-stage startups as one of the first technical hires responsible for shaping product architecture and technical direction.
Responsibilities
Build core product architecture
Work closely with founders
Define engineering culture and processes
Compensation Range
$180,000 – $260,000 + significant equity
Build and maintain scalable, reliable infrastructure for high-growth technology platforms.
Tech Stack
Kubernetes
Docker
Terraform
AWS / GCP
Monitoring & Observability tools
Compensation Range
$180,000 – $280,000 + equity
Develop internal developer platforms and tooling to support engineering productivity and scalability.
Responsibilities
Build CI/CD systems
Maintain internal developer tooling
Improve deployment reliability
Compensation Range
$190,000 – $300,000 + equity
Design cloud architecture supporting high-scale distributed systems and AI workloads.
Compensation Range
$180,000 – $280,000 + equity
Protect critical infrastructure and software platforms through advanced security engineering.
Focus Areas
Application security
Cloud security
Infrastructure security
Security automation
Compensation Range
$170,000 – $250,000 + equity
Design enterprise security frameworks across distributed cloud systems and AI infrastructure.
Compensation Range
$200,000 – $320,000 + equity
Build scalable data pipelines and data infrastructure supporting machine learning and analytics.
Tech Stack
Python
Spark
Kafka
Snowflake
Airflow
Compensation Range
$170,000 – $250,000 + equity
Design data models and analytics infrastructure that enable organizations to make data-driven decisions.
Compensation Range
$160,000 – $220,000 + equity
Develop predictive models and analytics solutions for fintech, SaaS, and AI-driven platforms.
Compensation Range
$180,000 – $260,000 + equity
We also support venture-backed startups with fractional and advisory talent.
Examples include:
Fractional CTO
AI Strategy Advisor
Technical Advisor (Deep Tech)
Startup Engineering Advisor
If you are interested in any of the opportunities listed above or would like to explore confidential searches, please connect.
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