Working with Joe has been the best candidate experience that I've ever had with a talent sourcing firm hands down. He was professional, knowledgeable, transparent throughout the hiring process, and kept me in the loop from start to finish.
Few people are as well-rounded, hardworking, and detail oriented as Joe. He has a natural ability to connect with others and build trust. I simply can't say enough great things.
Can't say enough good things about Joe. From the initial email to the job offer, he had my back all the way. He always took my calls and helped me prepare through multiple interviews.
I had the pleasure of working with Joe during my recent job search. His deep understanding of the industry was immediately apparent. His communication was outstanding, clear, timely, and supportive throughout.
Working with Joe has been the best candidate experience that I've ever had with a talent sourcing firm hands down. He was professional, knowledgeable, transparent throughout the hiring process, and kept me in the loop from start to finish.
Few people are as well-rounded, hardworking, and detail oriented as Joe. He has a natural ability to connect with others and build trust. I simply can't say enough great things.
Can't say enough good things about Joe. From the initial email to the job offer, he had my back all the way. He always took my calls and helped me prepare through multiple interviews.
I had the pleasure of working with Joe during my recent job search. His deep understanding of the industry was immediately apparent. His communication was outstanding, clear, timely, and supportive throughout.
He has been the BEST recruiter experience I have had in my 9+ year career. Joe has timely updates, high level of communication skills, full transparency and provides resources for setting up calls, tips, and ensures he can answer all questions.
Joe is, by far, the best recruiter I've worked with. From initial contact to final offer, he went above and beyond. His integrity and communication skills are both self-evident and rare.
Joe is an exceptional recruiter with a knack for placing tech-folks in roles that suit them well. He was kind, informative, and accommodating — and walked me through each point of the process.
Joe connected me with a few great companies and helped me prepare for each interview. He is super friendly and does not have the salesman vibe that some recruiters do.
He has been the BEST recruiter experience I have had in my 9+ year career. Joe has timely updates, high level of communication skills, full transparency and provides resources for setting up calls, tips, and ensures he can answer all questions.
Joe is, by far, the best recruiter I've worked with. From initial contact to final offer, he went above and beyond. His integrity and communication skills are both self-evident and rare.
Joe is an exceptional recruiter with a knack for placing tech-folks in roles that suit them well. He was kind, informative, and accommodating — and walked me through each point of the process.
Joe connected me with a few great companies and helped me prepare for each interview. He is super friendly and does not have the salesman vibe that some recruiters do.
Joe was incredibly attentive, staying in touch via calls, texts, and emails every step of the way. It made a real difference, and he set the bar for what recruiting should be.
I had a fantastic experience working with Joe to obtain my latest career advancing position. He came to the table with needed preparedness and ensured both sides had all the information needed.
Joe was such an incredible recruiter to work with. He was so professional, knowledgeable, and someone I felt I could rely on to have my best interest in mind. Anyone who works with him is in great hands.
Joe reached out to me on LinkedIn and helped me proceed with interviews. He has timely updates, high level of communication skills, full transparency, and provides resources every step of the way.
Joe was incredibly attentive, staying in touch via calls, texts, and emails every step of the way. It made a real difference, and he set the bar for what recruiting should be.
I had a fantastic experience working with Joe to obtain my latest career advancing position. He came to the table with needed preparedness and ensured both sides had all the information needed.
Joe was such an incredible recruiter to work with. He was so professional, knowledgeable, and someone I felt I could rely on to have my best interest in mind. Anyone who works with him is in great hands.
Joe reached out to me on LinkedIn and helped me proceed with interviews. He has timely updates, high level of communication skills, full transparency, and provides resources every step of the way.
Joe Kerridge
Principal: Technology & Product
$0M
Salaries Placed
0+
Placements Made
0%
Offer Acceptance Rate
0hrs
Avg. Response Time
Joe Kerridge
Principal Talent Partner · Resonance
Professional Career
Principal: Technology & Product · Resonance
Director of Technology & Product · Integrity Power Search
NFL Career
Cleveland Browns
Green Bay Packers
Washington Commanders
Education
University of Michigan
Team Captain · 2014, 2015
Ross School of Business
Cappo Sales Track · Marketing & Sales
Intentional Representation
Before I ever worked in tech, I spent years in highly competitive environments where performance and preparation were everything.
At the University of Michigan, I walked onto the football team, earned a scholarship, became a two-time team captain, and then played 5 years in the NFL. Those years shaped how I think about timing, positioning, leverage, and being intentional with every move. But performance on the field was only part of it.
Off the field, I saw what real strategic representation looks like. My agent didn't just negotiate contracts. He understood my strengths, my market value, the right timing, and the environments where I would thrive. Every move was deliberate. Nothing was reactive.
When I transitioned into recruiting, I carried that perspective with me.
I never saw recruiting as simply filling roles. I saw it as positioning - understanding where someone will do their best work and where a company truly unlocks value from a hire.
I operate more like a talent agent than a traditional recruiter. I spend time deeply understanding founders and technical leaders before ever making introductions. I want to know what this hire truly unlocks for the business, not just what sits on a job description. On the other side, I work closely with builders to clarify what they are optimizing for and the environments where they will thrive.
I don't run volume funnels. I take on a small number of searches and work them with conviction on both sides.
The goal isn't movement. It's alignment that leads to meaningful, long-term impact.
Backed by the firms who back the best
Active Searches & Placement Footprint
Active searches · Successful placements · Network connections
0 Remote Opportunities
8,500+
Connections
50
States
120+
Cities
12
Active Searches
Open
Pending
Remote
Remote opportunities listed in HQ city
Active Searches
Software Engineering
Full-stack · Frontend · Backend · Data
+
Founding Engineer / Technical Co-Founder
AI Health Platform · $5M Raised · Backed by Electric Capital, Precursor Ventures
Founding engineering role at a seed-stage AI health platform building the treatment recommendation layer that modern medicine hasn't delivered. Join before any technical decisions are locked in — you own the architecture, the stack, and the engineering culture from day zero. The core build: an agentic health companion and AI matching engine connecting chronic illness patients with protocols working for others like them. Co-founder title and double-digit equity are explicitly on the table for the right person. $5M raised in under two weeks. $1M GTM push planned for Q3.
$180K–$300K + Equity
Sr. Software Engineer (Robotics)
AI Robotics · $12M Raised · YC S24 · Backed by Physical Intelligence, NextView
Own the control interfaces and on-robot software that keep AI-native industrial robots running at 100% uptime in live U.S. warehouse deployments. This is a full-stack robotics role spanning control systems, vision-based motion planning, simulation, and teleop interfaces — working across the entire robot stack with no component belonging to someone else. Robots are already revenue-generating in the field. The systems you build run on deployed hardware with tight, real-world feedback loops. Backed by Physical Intelligence — widely considered the leading robotics AI research lab in the world — as one of their first investments.
$150K–$225K + Equity
Member of Technical Staff
AI Agents for Accounting · $100M Raise · $1.5B Valuation · Backed by Khosla, Accel, GV
As a Member of Technical Staff, you'll work across agent engineering (context engineering, tool design), agent platform (harness engineering, eval systems), product engineering, platform infrastructure, and agent data systems. The problems are net new: managing agent state over long horizons, designing the right level of tool abstraction as models get smarter, extracting dense signal from multi-hour agent trajectories, and building eval systems where judgement includes subjectivity. No static teams — pods reform quarterly around objectives. Engineers own outcomes end-to-end. In-person 5 days/week in Flatiron, NYC.
$150K–$300K + Equity
Founding Full-Stack Engineer
Consumer Fintech Startup · Founded 2025 · ARR $15M · Google Ventures
Consumer Fintech startup that has gone from 0 to 1.5M+ users in under 120 days. You'll be building core product from the ground up — real ownership, real equity, and a product users genuinely love. Looking for scrappy/entrepreneurial-minded engineers who are strong with AI coding tools. Stack flexibility — we care more about your instincts than your framework.
$175K–$210K + Bonus + Equity
Sr. Full-Stack Engineer
Consumer Services Platform · Founded 2022 · 1M+ Users · Google Ventures
As a Sr. Full-Stack Engineer, you'll own features end-to-end — from backend services and APIs to frontend experiences. Core work includes integrations with social media APIs (Instagram, TikTok, YouTube, Meta, X), ecommerce/payment platforms (Shopify, Stripe, PayPal), affiliate APIs, and Google APIs. You'll make architectural decisions that balance speed and scalability, build internal tools powering operations and partner workflows, and proactively identify product opportunities across the platform.
$175K–$225K + Equity
Sr. Data Engineer
Consumer Services Platform · Founded 2022 · 1M+ Users · Google Ventures
As a Sr. Data Engineer, you'll design, build, and improve the data systems that power search, matching, and recommendation features across the marketplace. You'll partner with product and engineering to define data requirements, build scalable ETL/ELT pipelines prioritizing quality and freshness, implement monitoring and alerting for high-confidence data at scale, and develop reusable tooling and frameworks that make it easier for teams to build on shared infrastructure.
$175K–$225K + Equity
Founding Software Engineer
Health Biotech · Novel Diagnostics · $5M Seed · SoHo NYC
Verticalized healthcare biotech company on a mission to build a universal model of biology — developing a novel diagnostic with the highest predictive power of any known test for detecting disease and measuring intervention efficacy, now commercializing at scale with a live product and paying customers.
As Founding Software Engineer, you own the consumer product end-to-end: React Native (mobile) for patients and React (web) for clinicians, the feature roadmap, the customer feedback loop, and the architectural decisions that define how the platform scales. You'll implement Figma designs to production, maintain a Python backend, build toward wearable integrations and telehealth touchpoints, and interface directly with early customers to iterate rapidly. Expected to grow into engineering leadership.
As Founding Software Engineer, you own the consumer product end-to-end: React Native (mobile) for patients and React (web) for clinicians, the feature roadmap, the customer feedback loop, and the architectural decisions that define how the platform scales. You'll implement Figma designs to production, maintain a Python backend, build toward wearable integrations and telehealth touchpoints, and interface directly with early customers to iterate rapidly. Expected to grow into engineering leadership.
$200K–$250K + Equity
AI / ML Engineering
Machine learning · Applied AI · Data Science · MLOps · Research
+
Founding AI Engineer
Health Biotech · Novel Diagnostics · $5M Seed · SoHo NYC
Verticalized healthcare biotech company on a mission to build a universal model of biology — developing a novel diagnostic with the highest predictive power of any known test for detecting disease and measuring intervention efficacy, while training a biological foundation model on proprietary biomarker data to power personalized health recommendations, risk prediction, clinical decision support, and pharmaceutical research applications.
As Founding AI Engineer, you're building the company's AI capability from scratch: designing the architecture and shipping the first LLM-powered consumer features (health result explanations, personalized recommendations, SMS/iMessage health copilot), building RAG systems grounded in biomarker data and scientific literature, designing automated evaluation and safety infrastructure, building knowledge graphs on scientific research, and owning the full model lifecycle from design through monitoring and re-architecture. Expected to grow into AI/ML leadership.
As Founding AI Engineer, you're building the company's AI capability from scratch: designing the architecture and shipping the first LLM-powered consumer features (health result explanations, personalized recommendations, SMS/iMessage health copilot), building RAG systems grounded in biomarker data and scientific literature, designing automated evaluation and safety infrastructure, building knowledge graphs on scientific research, and owning the full model lifecycle from design through monitoring and re-architecture. Expected to grow into AI/ML leadership.
$200K–$250K + Equity
Lead Machine Learning Engineer
AI Robotics · $12M Raised · YC S24 · Backed by Physical Intelligence, NextView
Own the data and ML infrastructure layer that powers neural network policy research for a fleet of AI-native industrial robots already deployed in U.S. warehouses. The core build: a PB+ scale data platform ingesting real-time video streams and sensor feeds from deployed robots, distributed training pipelines, and the infrastructure that determines how fast the company can iterate on its core AI systems. This is a foundational infrastructure role at the exact moment the fleet scales from a handful of robots to hundreds — the systems you build in the next 12 months define the company's iteration speed for years.
$175K–$275K + Equity
Machine Learning Engineer
AI Agents for Accounting · $100M Raise · $1.5B Valuation · Backed by Khosla, Accel, GV
This company builds real agents that do real work in the real economy. Their agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world — not chatbot-layer AI, but long-horizon autonomous systems making thousands of decisions per session. 10x ARR growth in the last 12 months, 5x+ headcount growth to 80+ total (25+ engineers), and backed by Khosla Ventures, Accel, Google Ventures, Nat Friedman & Daniel Gross, and technical leaders including Jeff Dean, Adam D'Angelo, and Noam Brown.
As a Member of Technical Staff, you'll work across agent engineering (context engineering, tool design), agent platform (harness engineering, eval systems), product engineering, platform infrastructure, and agent data systems. The problems are net new: managing agent state over long horizons, designing the right level of tool abstraction as models get smarter, extracting dense signal from multi-hour agent trajectories, and building eval systems where judgement includes subjectivity. No static teams — pods reform quarterly around objectives. Engineers own outcomes end-to-end. In-person 5 days/week in Flatiron, NYC.
As a Member of Technical Staff, you'll work across agent engineering (context engineering, tool design), agent platform (harness engineering, eval systems), product engineering, platform infrastructure, and agent data systems. The problems are net new: managing agent state over long horizons, designing the right level of tool abstraction as models get smarter, extracting dense signal from multi-hour agent trajectories, and building eval systems where judgement includes subjectivity. No static teams — pods reform quarterly around objectives. Engineers own outcomes end-to-end. In-person 5 days/week in Flatiron, NYC.
$170K–$350K + Equity
Data Scientist
AI Infrastructure · Backed by AMD & SignalFire · $100M+ Valuation
AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD — with hands-on support from AMD engineers — the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
As a Data Scientist, you'll own the end-to-end data lifecycle — from petabyte-scale web crawling to the fine-grained human-alignment datasets that define model behavior. You'll design the taxonomies, filtering heuristics, and post-training pipelines that ensure models are world-class in reasoning, safety, and multimodal understanding. Core work spans foundation dataset strategy (pre-training mix optimization), large-scale curation and deduplication, post-training & alignment data (SFT, RLHF/DPO), multimodal expansion (vision/video), and synthetic data generation.
As a Data Scientist, you'll own the end-to-end data lifecycle — from petabyte-scale web crawling to the fine-grained human-alignment datasets that define model behavior. You'll design the taxonomies, filtering heuristics, and post-training pipelines that ensure models are world-class in reasoning, safety, and multimodal understanding. Core work spans foundation dataset strategy (pre-training mix optimization), large-scale curation and deduplication, post-training & alignment data (SFT, RLHF/DPO), multimodal expansion (vision/video), and synthetic data generation.
$190K–$275K + Equity
Machine Learning / Research Engineer
AI Infrastructure · Backed by AMD & SignalFire · $100M+ Valuation
AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD — with hands-on support from AMD engineers — the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
As a Research Engineer, you'll work across the full foundation-model stack: pretraining and scaling, post-training and reinforcement learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You'll build and iterate quickly on research ideas, contribute production-grade infrastructure, and help deliver models that can serve real-world use cases at scale.
As a Research Engineer, you'll work across the full foundation-model stack: pretraining and scaling, post-training and reinforcement learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You'll build and iterate quickly on research ideas, contribute production-grade infrastructure, and help deliver models that can serve real-world use cases at scale.
$200K–$275K + Equity
Technical Leadership
Engineering Manager · Director · VP · CTO
+
VP of Research
AI Infrastructure · Backed by AMD & SignalFire · $100M+ Valuation
AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD — with hands-on support from AMD engineers — the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
$300K–$400K + Equity
VP of Applications
AI Infrastructure · Backed by AMD & SignalFire · $100M+ Valuation
AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD — with hands-on support from AMD engineers — the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
$300K–$400K + Equity
Product Management
PM · Senior PM · Head of Product · VP of Product
+
Head of Product
AI Data Infrastructure · $180M Valuation
This company builds the premium data infrastructure layer for frontier AI. The big insight: most AI teams aren't bottlenecked by models anymore — they're bottlenecked by data quality and iteration speed. Commodity labeling doesn't cut it for reasoning-heavy systems. What sets them apart is treating human intelligence as infrastructure, not labor. They've built a platform powered by the top 0.01% of global experts — people you could never hire full-time — and tightly integrate them into model training and feedback loops.
This role exists because that core idea is working, demand is there, and now they need someone to turn very high-touch workflows into a scalable, productized AI data platform. It's very greenfield, very high-impact, and you'd be defining how humans and models work together at scale.
This role exists because that core idea is working, demand is there, and now they need someone to turn very high-touch workflows into a scalable, productized AI data platform. It's very greenfield, very high-impact, and you'd be defining how humans and models work together at scale.
$275K–$350K + Equity
Placement Track Record
Last 21 Placements: Total Compensation
Base Salary
$160,000
Equity
$65,000
Lead Product Designer
$225,000
Seed · $6M
Base Salary
$315,000
Equity
$885,000
Director of Engineering
$1,200,000
Seed · $20M
Base Salary
$53,000
Equity
N/A
Staff Product Designer
$53,000 (4-Mo Contract)
Series A · $65M
Base Salary
$290,000
Equity
$200,000
Head of Engineering
$490,000
Post-Seed · $10.5M
Base Salary
$152,500
Equity
$49,000
Sr. Backend Engineer
$201,500
Series B · $50M
Base Salary
$415,000
Equity
$710,000
Sr. Staff Software Engineer
$1,125,000
Series A · $75M
Base Salary
$236,000
Equity
$89,000
Sr. ML Engineer
$325,000
Seed · $8M
Base Salary
$178,000
Equity
$31,600
Sr. Full-Stack Engineer
$209,600
Series A · $22M
Base Salary
$252,000
Equity
$112,000
Mechanical Engineer
$364,000
Seed · $9M
Base Salary
$163,000
Equity
$76,000
Sr. ML Engineer
$239,000
Seed · $20M
Base Salary
$189,000
Equity
$16,000
Founding Full-Stack Engineer
$205,000
Series A · $18.5M
Base Salary
$237,500
Equity
$77,700
Lead Software Engineer
$315,200
Series A · $50M
Base Salary
$158,000
Equity
$40,000
Sr. Backend Engineer
$198,000
Series A · $7.5M
Base Salary
$231,000
Equity
$58,000
ML Engineer
$289,000
Series A · $50M
Base Salary
$200,000
Equity
$160,200
Staff Software Engineer
$360,200
Series B · $27M
Base Salary
$184,000
Equity
$30,000
Lead Frontend Engineer
$214,000
Pre-Seed · $4.5M
Base Salary
$158,000
Equity
$43,700
Sr. Product Manager
$201,700
Series C · $65M
Base Salary
$210,000
Equity
$155,000
Director of Research
$365,000
Seed · $3.5M
Base Salary
$184,000
Equity
$29,000
Full-Stack Engineer
$213,000
Seed · $1.4M
Base Salary
$167,500
Equity
$44,000
Sr. Developer
$211,500
Seed · $2.1M
Base Salary
$173,000
Equity
$44,500
Product Manager
$217,500
PE · $10M