Insights on Building AI Teams — Heath Black, SignalFire

AI Engineer · Beginner ·🚀 Entrepreneurship & Startups ·1y ago
Market trends and people data. In a world with inflating salaries, it's more important now than ever to ensure you're using the proper filtering, timing, and narrative to find and hire the best possible engineering teams in the new AI era. In this talk, we'll share and discuss data sourced from SignalFire’s Beacon AI platform. Whether building a team or expanding one, we'll examine the information and processes we use to give our portfolio companies an edge, and a framework for setting themselves apart from the competition. Recorded live at the Leadership Track Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Heath Heath Black joined Signalfire as Head of Product in 2021 to lead Beacon Talent and other machine-learning initiatives that help make our portfolio companies' lives better. Before joining SignalFire, Heath was a senior product manager at Facebook (2017-2021), where he worked in the Facebook Reality Labs organization on various machine learning products for the Facebook + Rayban smart glasses collaboration. Before joining Facebook, Heath worked at several startups across Seed to Series A– Appstores, Chirpify, and Imzy. He also worked at Reddit from 2014-16, where he focused on building out new business lines to monetize the site. His favorite product at Reddit was the subscription box he worked on for cat owners. The box people received could be refolded into a tiny cat house. Heath received a B.A. from Oklahoma Wesleyan University, where he studied English, with history and communications minors. He received his M.A. from DePaul University in English with a focus on Modern Irish Literature. He's a published poet, avid golfer, bookworm, NBA enthusiast, and father of two rambunctious boys.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from AI Engineer · AI Engineer · 0 of 60

← Previous Next →
1 AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer
2 AI Engineer Summit 2023 — DAY 2 Livestream
AI Engineer Summit 2023 — DAY 2 Livestream
AI Engineer
3 Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
AI Engineer
4 Announcing the AI Engineer Network: Benjamin Dunphy
Announcing the AI Engineer Network: Benjamin Dunphy
AI Engineer
5 The 1,000x AI Engineer: Swyx
The 1,000x AI Engineer: Swyx
AI Engineer
6 Building AI For All: Amjad Masad & Michele Catasta
Building AI For All: Amjad Masad & Michele Catasta
AI Engineer
7 The Age of the Agent: Flo Crivello
The Age of the Agent: Flo Crivello
AI Engineer
8 See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
AI Engineer
9 Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
AI Engineer
10 Pydantic is all you need: Jason Liu
Pydantic is all you need: Jason Liu
AI Engineer
11 Building Blocks for LLM Systems & Products: Eugene Yan
Building Blocks for LLM Systems & Products: Eugene Yan
AI Engineer
12 The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
AI Engineer
13 Climbing the Ladder of Abstraction: Amelia Wattenberger
Climbing the Ladder of Abstraction: Amelia Wattenberger
AI Engineer
14 Supabase Vector: The Postgres Vector database: Paul Copplestone
Supabase Vector: The Postgres Vector database: Paul Copplestone
AI Engineer
15 [Workshop] AI Engineering 101
[Workshop] AI Engineering 101
AI Engineer
16 The Hidden Life of Embeddings: Linus Lee
The Hidden Life of Embeddings: Linus Lee
AI Engineer
17 [Workshop] AI Engineering 201: Inference
[Workshop] AI Engineering 201: Inference
AI Engineer
18 The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
AI Engineer
19 The AI Evolution: Mario Rodriguez, GitHub
The AI Evolution: Mario Rodriguez, GitHub
AI Engineer
20 Move Fast Break Nothing: Dedy Kredo
Move Fast Break Nothing: Dedy Kredo
AI Engineer
21 AI Engineering 201: The Rest of the Owl
AI Engineering 201: The Rest of the Owl
AI Engineer
22 Building Reactive AI Apps: Matt Welsh
Building Reactive AI Apps: Matt Welsh
AI Engineer
23 Pragmatic AI with TypeChat: Daniel Rosenwasser
Pragmatic AI with TypeChat: Daniel Rosenwasser
AI Engineer
24 Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
AI Engineer
25 Retrieval Augmented Generation in the Wild: Anton Troynikov
Retrieval Augmented Generation in the Wild: Anton Troynikov
AI Engineer
26 Building Production-Ready RAG Applications: Jerry Liu
Building Production-Ready RAG Applications: Jerry Liu
AI Engineer
27 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
AI Engineer
28 The Weekend AI Engineer: Hassan El Mghari
The Weekend AI Engineer: Hassan El Mghari
AI Engineer
29 Harnessing the Power of LLMs Locally: Mithun Hunsur
Harnessing the Power of LLMs Locally: Mithun Hunsur
AI Engineer
30 Trust, but Verify: Shreya Rajpal
Trust, but Verify: Shreya Rajpal
AI Engineer
31 Open Questions for AI Engineering: Simon Willison
Open Questions for AI Engineering: Simon Willison
AI Engineer
32 Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
AI Engineer
33 GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
AI Engineer
34 Using AI to Build an Infinite Game: Jeff Schomay
Using AI to Build an Infinite Game: Jeff Schomay
AI Engineer
35 How to Become an AI Engineer from a Fullstack Background - Reid Mayo
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
AI Engineer
36 The Code AI Maturity Model and What It Means For You: Ado Kukic
The Code AI Maturity Model and What It Means For You: Ado Kukic
AI Engineer
37 AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer
38 From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
AI Engineer
39 The Making of Devin by Cognition AI: Scott Wu
The Making of Devin by Cognition AI: Scott Wu
AI Engineer
40 The Future of Knowledge Assistants: Jerry Liu
The Future of Knowledge Assistants: Jerry Liu
AI Engineer
41 Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
AI Engineer
42 Open Challenges for AI Engineering: Simon Willison
Open Challenges for AI Engineering: Simon Willison
AI Engineer
43 Lessons From A Year Building With LLMs
Lessons From A Year Building With LLMs
AI Engineer
44 From Software Developer to AI Engineer: Antje Barth
From Software Developer to AI Engineer: Antje Barth
AI Engineer
45 Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
AI Engineer
46 Copilots Everywhere: Thomas Dohmke and Eugene Yan
Copilots Everywhere: Thomas Dohmke and Eugene Yan
AI Engineer
47 Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
AI Engineer
48 Low Level Technicals of LLMs: Daniel Han
Low Level Technicals of LLMs: Daniel Han
AI Engineer
49 Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
AI Engineer
50 How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
AI Engineer
51 What's new from Anthropic and what's next: Alex Albert
What's new from Anthropic and what's next: Alex Albert
AI Engineer
52 Using agents to build an agent company: Joao Moura
Using agents to build an agent company: Joao Moura
AI Engineer
53 Decoding the Decoder LLM without de code: Ishan Anand
Decoding the Decoder LLM without de code: Ishan Anand
AI Engineer
54 Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
AI Engineer
55 Building with Anthropic Claude: Prompt Workshop with Zack Witten
Building with Anthropic Claude: Prompt Workshop with Zack Witten
AI Engineer
56 Building Reliable Agentic Systems: Eno Reyes
Building Reliable Agentic Systems: Eno Reyes
AI Engineer
57 10x Development: LLMs For the working Programmer - Manuel Odendahl
10x Development: LLMs For the working Programmer - Manuel Odendahl
AI Engineer
58 Disrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner
Disrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner
AI Engineer
59 Hypermode Launch: Kevin Van Gundy
Hypermode Launch: Kevin Van Gundy
AI Engineer
60 Git push get an AI API: Ryan Fox-Tyler
Git push get an AI API: Ryan Fox-Tyler
AI Engineer

Related AI Lessons

The Danger of Performative Leadership in Startups
Learn to recognize performative leadership in startups and its dangers, and how to focus on progress over appearances
Medium · Startup
Faraday Future raised $25 million for its robotics pivot. The fine print tells a different story.
Faraday Future raises $25 million for robotics pivot, but fine print reveals more complexity
The Next Web AI
Beyond the Corporate PR: 4 Deep Reflections on Building, Learning, and Scaling in India
Learn from Sabeer Bhatia's reflections on building, learning, and scaling in India, beyond the typical corporate PR
Medium · Startup
Why I am building CarryFeed
Learn how to identify and solve real-world problems by building a product like CarryFeed, a solution born out of personal frustration
Dev.to · carryfeed
Up next
Creating a Business of Your Own
Coursera
Watch →