Staffing Simplified  ·  Greg Taylor

Good recruiting starts with human conversations.

Built for hiring leaders who value human relationships, honest communication, and thoughtful recruiting over transactional outreach and forgettable candidate experiences.

Relationship-driven recruiting support across engineering, leadership, sales, operations, and business-critical hiring.

Let's Talk Hiring
Greg Taylor

Companies such as

EasyPost
Hayes Locums
Landstar
ShipScience
FedEx
UPS
Shippo
Pirate Ship
Flexport
Mercury
Ramp
Retool
Plaid
Vercel
Cloudflare
EasyPost
Hayes Locums
Landstar
ShipScience
FedEx
UPS
Shippo
Pirate Ship
Flexport
Mercury
Ramp
Retool
Plaid
Vercel
Cloudflare
Hayes Locums
Landstar
ShipScience
FedEx
UPS
Shippo
Pirate Ship
Flexport
Mercury
Ramp
Retool
Plaid
Vercel
Cloudflare
EasyPost
Hayes Locums
Landstar
ShipScience
FedEx
UPS
Shippo
Pirate Ship
Flexport
Mercury
Ramp
Retool
Plaid
Vercel
Cloudflare
Greg and son at turtle park Greg with his boys
2.2:1
Submission-to-hire ratio
Precision over volume. Fewer resumes, stronger signal.
94%+
Offer acceptance rate
The right fit for both sides, every time.
Fluent in Engineer
Technical fluency
Go, Python & JavaScript. Candidates get a real technical round with me before they ever hit your desk.
9 Functions
Hired across
Engineering, Product, Sales, Legal, HR, Operations, Finance, Leadership & Executive.

About Greg

A recruiter who thinks like an operator.

My name is Greg Taylor, founder of Staffing Simplified. More importantly, I'm a dad, husband, athlete, and relationship builder who believes good recruiting starts with human conversations.

In a world increasingly obsessed with AI-generated outreach and automated recruiting tools, I still believe the best hiring outcomes come from trust, human relationships, and honest conversations.

I've spent the better part of the last decade scaling teams, with a heavy focus on engineering and technical hiring. I taught myself enough Go, Python, and admittedly questionable JavaScript to better understand the people I recruit, the systems they build, and the conversations that actually matter. That technical fluency has helped me consistently deliver high-signal candidates while scaling teams quickly and thoughtfully.

While engineering is where I naturally thrive, I've supported hiring across leadership, sales, HR, legal, and operations — from junior contributors to executive leadership.

Whether I'm helping scale an engineering org, supporting a leadership search, or finally closing a role that's been open for months — my approach stays the same: communicate honestly, move quickly, and build long-term relationships that create meaningful impact for both companies and candidates.

What drives the work

Fatherhood

“Becoming a dad changed the way I think about relationships, responsibility, and the kind of impact I want my work to have.”

Athletics

“Training and competition taught me something recruiting reinforces every day: meaningful results are almost always built slowly, intentionally, and through consistency.”

Grit

“Some of the most defining experiences in my life came from pushing through discomfort and long stretches where persistence mattered more than motivation.”

Greg with family

How I Help

Recruiting support built around your actual needs.

01

Contingent Search

Focused support for difficult-to-fill roles where candidate quality matters more than volume. My technical fluency lets me thrive in engineering and product environments where deeper conversations create stronger hiring outcomes.

02

Embedded Recruiting

A true hiring partner integrated directly into your business — operating inside your existing ATS and workflows. I work closely with leadership and hiring managers, owning the recruiting process end-to-end. Especially effective for high-volume growth phases where a dedicated partner creates stronger outcomes at a lower cost than per-placement fees.

03

Recruiting Strategy & Process

Recruiting is often the first real impression candidates have of your company. I help organizations improve hiring workflows, strengthen alignment between recruiters and hiring leaders, and build candidate experiences that feel intentional and human from the very first conversation.

Open Roles

Every search is relationship-driven.

Every role I support is thoughtfully calibrated and centered around long-term fit. If something below aligns with your background, I'd genuinely love to hear from you.

Staff AI Frontend Engineer
San Francisco, CA On-site $250,000 – $315,000

A post-Series B AI company generating 8-figure revenue with 9 people is hiring two staff frontend engineers to ship at AI speeds. Real-time WebRTC companion agents, generative dashboards, and agentic UI that operates the product itself. The bar is high and the surface is genuinely novel.

What You'll Own

  • Architect scalable frontend systems: reusable component libraries, state management patterns, API integration, and bundle optimization
  • Own and ship primary user-facing features end-to-end, from React components through API integration to production polish
  • Build complex real-time systems including WebRTC streaming, generative dashboards, and agentic chat
  • Use AI tooling to rapidly prototype and ship multiple features per day

Must Have

  • 6+ years shipping production-grade products at Senior to Staff level
  • Mastery of React, Next.js, TypeScript, and Tailwind with deep performance instincts
  • AI-native developer: Cursor, Claude Code, v0.dev, and comparable tools as extensions of your craft
  • High agency — founder, founding engineer, or significant scope ownership at a real startup
  • Based in SF or willing to relocate immediately. In-person 5 days a week

Nice to Have

  • Real-time WebRTC or video pipeline experience
  • Voice AI or generative UI product experience
  • Python backend comfort for occasional cross-stack work
Member of Technical Staff — AI / Full-Stack
San Francisco, CA On-site $250,000 – $450,000

A seed-stage AI operating system company — $12M raised, $3.5M ARR in Q1, 50+ enterprise customers — is hiring engineers who can handle modeling, systems, and product without a roadmap handed to them. You report directly to the founder. The culture goes beyond 996.

What You'll Do

  • Build, integrate, and deploy AI-powered systems into production across enterprise customers
  • Fine-tune, evaluate, and work with machine learning models in real-world applications
  • Design scalable pipelines for training, inference, and data processing
  • Improve latency, throughput, cost efficiency, and reliability of production AI systems
  • Partner with product, research, and design to ship end-to-end features

Must Have

  • Strong proficiency in Python and modern ML frameworks
  • Experience building and deploying systems in production environments
  • Prior experience in a venture-backed, fast-paced environment — big tech backgrounds typically don't thrive here

Nice to Have

  • Familiarity with LLMs, agents, or workflow automation systems
  • Background at a frontier AI lab or high-growth startup
  • Prior founding experience or built something completely end-to-end
Chief of Staff
New York City, NY On-site $130,000 – $180,000

A YC-backed AI-native insurance broker working with 40 major US carriers needs a high-agency generalist sitting directly next to the CEO. You own whatever is most important that week: fundraising, ops, GTM, analytics, partnerships. The scope is intentionally broad and always changing.

What You'll Own

  • Support fundraising end-to-end: investor research, deck iterations, data room, follow-up coordination
  • Own operational projects from start to finish: vendor evaluation, hiring pipeline buildout, process design
  • Analyze data to surface insights across lead conversion, unit economics, and carrier performance
  • Draft investor updates, internal documentation, and external communications without hand-holding

Must Have

  • 1–3 years at a top-tier firm (Goldman, McKinsey, Bain, BCG, or comparable); exceptional new grads considered
  • Strong analytical ability and excellent written communication
  • High agency and bias toward action — figures things out before asking
  • Based in NYC or genuinely committed to relocating
Senior / Staff Backend Engineer — Payments Infrastructure
SF or NYC On-site $200,000 – $280,000

A YC-backed Series A fintech moving $1.5B annually to over 1 million payees is scaling its core infrastructure. Four open headcount. Python and React at scale, AWS and ECS, with meaningful equity and a team that pushes you to level up.

What You'll Bring

  • 7+ years designing and building scalable, production-ready systems
  • Experience with large-scale data and high-throughput backend architecture
  • Track record of launching and iterating on large software projects

Nice to Have

  • FinTech or finance industry experience
  • Infrastructure experience with AWS and Kubernetes
  • Background at Stripe, Ramp, Brex, Plaid, or Robinhood

Stack

  • Frontend: React — Backend: Python — Infrastructure: AWS, ECS
ML Engineer — Recommendation Systems
San Francisco, CA On-site preferred $160,000 – $220,000

An a16z-backed interactive entertainment startup is hiring its first ML engineer to own the recommendation brain — the engine deciding which ad reaches which user across millions of daily interactions. Full-stack ML from pipelines to production serving. Traditional ML depth, not LLM hype.

What You'll Build

  • Low-latency ad ranking system (retrieval → ranking → reranking) balancing advertiser ROAS against user experience
  • Data pipelines and feature stores powering continuous model training
  • Serving infrastructure for sub-second latency at scale

Must Have

  • 0–6 years ML engineering — strong new grads welcome
  • At least one ML system shipped in production (not just notebooks)
  • Backend depth across data architecture, feature pipelines, and serving infrastructure
  • Bias toward shipping at early-stage pace

Nice to Have

  • Recommendation systems, ranking, or ad experience at scale
  • Prior work at Meta, Amazon, Pinterest, TikTok, or Etsy
  • PyTorch fluency
Senior Backend Engineer — AI Logistics Platform
San Francisco, CA On-site $210,000 – $285,000

Backed by First Round Capital and Pear VC, this team is automating customs brokerage with AI — cutting clearance times to under 5 minutes and returning 30,000+ hours to logistics teams. Own core data infrastructure across AI pipelines, queues, databases, and search. Zero-to-one ownership from day one.

What You'll Own

  • Architect and scale distributed backend systems: queue pipelines, communication hubs, observability layers
  • Own database design and reliability: schema, indexing, query optimization, and data pipelines
  • Build AI search infrastructure for real-time logistics lookup and AI-driven features
  • Collaborate directly with founders on roadmap and technical direction

Must Have

  • 5–8+ years professional software engineering experience
  • Demonstrated ability to own and ship backend systems end-to-end in ambiguous environments
  • Real startup experience — big tech only backgrounds typically don't thrive here
  • Based in SF or committed to relocating — in-person, non-negotiable
Senior Software Engineer — Product
New York City, NY On-site $175,000 – $290,000

A YC X25 company automating enterprise software implementations is hiring a senior product engineer to own features end-to-end. AI-powered collaborative workflows, document generation, and enterprise tool integrations. Sharp, fast, and relentless is the bar — no fluff.

What You'll Do

  • Build and iterate on user-facing AI-powered collaborative workflow experiences
  • Own features end-to-end from technical design through launch and iteration
  • Build rich document generation and review experiences on top of LLM infrastructure
  • Develop integrations connecting enterprise tools (Confluence, Jira, SharePoint) into seamless workflows

Must Have

  • 4+ years software engineering on product-centric teams
  • Track record of shipping user-facing features in fast-growing SaaS products
  • Comfort working across the stack — polished UI and the APIs behind it
ML Engineer — Pretraining & Research Infrastructure
San Francisco, CA On-site $150,000 – $350,000

A small frontier research organization working on mechanistic interpretability, new architectures, and pretraining science is hiring three ML engineers. The bar is rate of growth, not years on a resume. Open to new grads, dropouts, and senior engineers who want to do real ML work.

What You'll Own

  • Implement research ideas reliably in PyTorch or JAX, translating papers into production-grade code
  • Build and operate end-to-end training pipelines covering data, training, and evaluation
  • Debug training instability, divergence, and throughput bottlenecks
  • Reason about learning dynamics and optimization choices alongside researchers

Must Have

  • Strong PyTorch or JAX competence with ability to implement research ideas reliably
  • Hands-on experience with transformer training, distributed setups, and evaluation frameworks
  • Ability to read research papers and implement custom architectures

Nice to Have

  • Experience with Megatron-LM, DeepSpeed, or xformers
  • Prior tenure at FAIR, DeepMind, Google Brain, or OpenAI infra
  • Open-source contributions to PyTorch, Megatron, or JAX repos
Senior Backend Engineer — Agent Observability
San Francisco, CA On-site $300,000 – $450,000

Backed by Lightspeed and others — $30M raised in five months — hundreds of teams use this platform to monitor AI agent behavior in production. Hiring senior backend engineers to mature its systems. Deep ClickHouse and OLAP infrastructure work. Hands-on technical leadership from day one.

What You'll Own

  • Lead backend development hands-on while guiding system architecture across the team
  • Build and optimize backend systems against ClickHouse and columnar/OLAP databases at production scale
  • Mentor junior engineers and establish a culture of technical excellence
  • Partner with founders on reliability, scalability, and deployment decisions

Must Have

  • 5–8 years backend or full-stack engineering at top-tier VC-backed or FAANG companies
  • Deep experience with columnar/OLAP databases, especially ClickHouse
  • Hands-on technical leadership — writes code daily while guiding architecture
AI Agent Engineer — Voice Infrastructure
Manhattan, NYC On-site $200,000 – $300,000

A YC-backed startup with AI agents already outperforming human collectors 2x, $2M ARR with a team of five, is building its voice AI infrastructure in-house. Own it end-to-end: LiveKit, orchestration, prompting strategy, and evaluation across millions of real consumer interactions.

What You'll Own

  • Build voice AI infrastructure in LiveKit from the ground up
  • Design and own real-time voice agent architecture: orchestration, state management, latency optimization
  • Own the end-to-end prompting strategy including conversation flows and compliance-safe phrasing
  • Build and maintain testing and evaluation frameworks: A/B testing, regression testing, conversation QA
  • Optimize ASR, STT, TTS, turn-taking, and interruption handling

Must Have

  • 2+ years in voice AI, conversational AI, prompt engineering, or agentic workflows
  • 3+ years in platform, infrastructure, or backend engineering
  • Strong experience with Node.js, AWS, and SQL
  • Experience with voice orchestration platforms such as LiveKit or equivalent
  • Native or near-native English (required for compliance-sensitive prompt engineering)
  • Based in or willing to relocate to NYC — in-person 4–5 days per week

Recommendations

What people say about working together.

Relationships are the foundation of everything I do. Here's what hiring managers and candidates have said after working with me.

“Greg doesn't just send resumes — he sends the right people. Every candidate he put in front of us had already been vetted for cultural fit, not just skills. That's rare in recruiting and it saved us weeks of wasted interviews.”

JM
J. Mitchell
VP of Engineering, Series B AI company

“I was skeptical of working with a recruiter — most of my experiences had been transactional and forgettable. Greg was the opposite. He took the time to genuinely understand what I was looking for and advocated for me throughout the process.”

SR
S. Ramirez
Staff Engineer, now at Series A AI startup

“We were stuck on a senior backend role for four months before engaging Greg. He closed it in three weeks. More importantly, the hire is still with us two years later and has become one of our most impactful engineers.”

AK
A. Kim
CTO, Seed-stage fintech

“What separates Greg is his technical fluency. He actually understood the role, could speak to the stack, and didn't waste our engineering team's time with candidates who clearly hadn't been properly screened.”

TP
T. Patel
Head of Engineering, Series B AI infrastructure company

“Greg reached out about a role that genuinely matched where I wanted to go next. He was honest about the company, the stage, and what I was walking into. That level of transparency made all the difference in my decision to take the offer.”

LC
L. Chen
ML Engineer, placed at frontier AI lab

“We've used Greg across three different hiring cycles — engineering, sales leadership, and operations. Every time, same standard. He doesn't cut corners when pressure is on, and he doesn't disappear after the offer is signed.”

PH
P. Henderson
COO, Enterprise Logistics & Fulfillment Company

“We brought Greg in during a critical growth phase when we needed to scale our engineering team quickly without sacrificing quality. He delivered consistently and treated every search with the same urgency we did.”

RN
R. Nguyen
Founder & CEO, YC-backed startup

“The thing I noticed immediately is that Greg listens. He asks questions most recruiters skip entirely and remembers the answers. It made every conversation feel like it was building toward something, not just filling a pipeline.”

DW
D. Williams
Engineering Manager, Series C startup

“I've done a lot of technical interviews, and Greg was the first recruiter who could actually hold a real conversation about system design and architecture. He sent me into that process feeling like someone in my corner actually got it.”

JS
J. Sutherland
Staff Engineer, placed at Series B infrastructure company

“Hiring in our world isn't straightforward — we needed someone who could understand a complex technical environment and still move fast. Greg figured it out quickly and delivered candidates we actually wanted to hire.”

DF
D. Fairchild
VP of Engineering, Fortune 500 Transportation Company

“Greg closed a leadership search for us in under a month that two other firms had failed on for over a quarter. His network in the SF engineering and leadership community is genuinely deep.”

EH
E. Harris
COO, Series B AI company

“What surprised me most was how prepared Greg was on the technical side. He walked me through the coding round format, explained what the team actually cared about, and could speak fluently about the stack. When a recruiter can do that, it changes the whole dynamic.”

AT
A. Thornton
Senior ML Engineer, placed at frontier AI research lab

Get in Touch

Let's Talk Hiring

Good recruiting starts with human conversations.
The best hiring partnerships usually do too.

Greg Taylor and family
Goes directly to Greg.

Thanks for reaching out — I'll be in touch soon.