Read Time: 2 min
In a startup, you don’t just hire for skills, you hire for passion and potential to grow with the chaos.
🤝 Good Morning and Welcome Back to Good People 🤝
A weekly newsletter for 36,500+ elite engineers, founders, and investors who watched two aliens communicate for the first time this week.
Short and sweet this week! Check out which Hot Startups are Hiring Below!
🚨 Customize Your Weekly Read 🚨
New Here? Fill out our Welcome Survey to let us know if you’re an engineer, founder, or student.
Startup Curious? Fill out our Opportunities Survey to receive a carefully curated list of startup opportunities that match your every desire.
Ready to make a move? Chat with our recruiters to explore startup roles – Schedule a career consult.
🔥 Hot Startups Hiring🔥
📚 Startup #1 📚
🏙️ Hiring Location: NYC, SEA, SF
🛠️ Industry: AI, SaaS
💸 Round/Funding: Series C, $160m
🏦 Investors: Databricks, Kleiner Perkins, Sequoia, Snowflake, a16z
🙏🏼 Mission/Vision: This Startup’s mission is to make world-class machine learning accessible to every company. They do this by offering a powerful platform that simplifies and accelerates the development and deployment of ML features—especially for real-time use cases.
🏗️ Product: This Startup is a feature platform for machine learning. It empowers data teams to build, manage, and serve ML features from batch and streaming data in real time—solving one of the hardest, most time-consuming parts of building production ML systems.
📣 Talking Points:
Built by the Uber Michelangelo team – elite engineering DNA.
Mission-critical adoption by high-growth companies for fraud detection, dynamic pricing, and personalization.
Live data, live decisions – powering real-time ML systems at scale.
🧑💻 Roles: Staff Software Engineer; Full Stack Engineer; Data Engineer
💸 Salary: $175k-250k
🚙 Days Required Onsite: 2
🛠️ Startup #2 🛠️
🏙️ Hiring Location: SF
🛠️ Industry: AI, SaaS
💸 Round/Funding: Seed, $5M
🏦 Investors: Foundation Capital, South Park Commons
🙏🏼 Mission/Vision: This Startup is re-wiring the insurance-brokerage industry with AI agents that allow brokerages to grow revenue without growing headcount. Their mission is to eliminate grunt work and empower Account Managers to focus on what truly matters—serving clients and growing books of business.
🏗️ Product: This Startup automates the most painful, manual workflows for insurance brokerages—giving account managers instant leverage.
Key product features:
AI-powered proposal generation
Automated policy checking
Coverage comparison in minutes
Cert automation and document parsing
Instead of spending hours copy/pasting and re-checking 100+ data points, account managers using This Startup complete full workflows in 3–4 minutes. It’s not just time saved—it’s headcount avoided and revenue unlocked.
📣 Talking Points:
Breakneck Growth, Real Revenue: This Startup grew from $100K to $1M+ ARR in a single quarter, with zero sales fluff. 25 brokerages already onboard—and each one saves thousands of hours and grows revenue without hiring more people.
Unsexy Industry. Unmatched Opportunity: Insurance brokerage is a $1T+ market running on spreadsheets and PDFs. This Startup is the first to bring real automation into this space—solving problems that are painful, essential, and untouched by modern tech.
Small Team, Big Surface Area: Just 5 engineers owning end-to-end product in a deeply operational market. You won’t be optimizing buttons—you’ll be shipping workflows that directly power agencies insuring everything from warehouses to space stations.
🧑💻 Roles: Senior Full Stack
💸 Salary: $165k- $215k
🚙 Days Required Onsite: 5
📊 Startup #3 📊
🏙️ Hiring Location: SF
🛠️ Industry: AI, Advertising
💸 Round/Funding: Seed, $7.3M
🏦 Investors: Canaan, J Ventures, NEO
🙏🏼 Mission/Vision: This startup’s mission is to enable clients of all sizes to easily and efficiently execute advertising strategies that optimize return on ad spend. In little more than a year, their data-driven, tech-enabled approach has become thoroughly disruptive, displacing traditional incumbents and winning return business in the highly lucrative half-trillion dollar per year digital ads market.
Traditional agencies have been given notice: This startup is building the future of advertising.
🏗️ Product: They compete directly with traditional ad agencies who are limited to human scale. This startup automates ad buying, strategy, and creative decisions using rich data models. This tooling enables their agency to start faster, act quicker, and iterate more efficiently than traditional agency models.
📣 Talking Points:
AI-native ad agency model - This startup is doing what traditional agencies can’t: automating campaign execution and creative iteration with state-of-the-art machine learning.
Backed by legends who built the internet - Investors include Scott Banister (invented search ads, early PayPal board) and Steve Huffman (Reddit co-founder & CEO)—a high-conviction bet on the next great performance engine.
🧑💻 Roles: Senior Software Engineer; Principal Engineer
🚙 Days Required Onsite: 4
🏦 Startup #4 🏦
🏙️ Hiring Location: NYC
🛠️ Industry: AI Models
💸 Round/Funding: Series A, $20M
🏦 Investors: Conviction, a16z
🙏🏼 Mission/Vision: To reinvent robotic process automation (RPA) with intelligent agents, making enterprise workflows faster, more adaptive, and vastly more accessible across legacy industries.
🏗️ Product: This Startup is building the next-gen RPA platform—AI-native and no-code.
Users build adaptive automations with visual tools powered by agentic AI.
This Startup’s bots handle repetitive tasks that previously took teams of humans, syncing data, verifying insurance, managing shipments, processing invoices, and more—across outdated enterprise systems.
📣 Talking Points:
AI-Native RPA for Real Enterprises – Finally replacing legacy automation with intelligent agents across healthcare, logistics, and finance.
Insanely Fast Enterprise Sales – Six-figure deals closed in 30–45 days; unheard-of speed in enterprise software.
Stacked Team, Real Urgency – Series A closed, revenue quadrupled, and customer demand is outpacing engineering capacity.
🧑💻 Roles: Senior Back End; FDE (Forward Deployed); Senior Full Stack
💸 Salary: $120,000 - $250k+
🚙 Days Required Onsite: 5
🤖 Startup #5 🤖
🏙️ Hiring Location: NYC
🛠️ Industry: AI, SaaS
💸 Round/Funding: Series A, $30M
🏦 Investors: Craft Ventures, Floodgate, Sozo Ventures
🙏🏼 Mission/Vision: This Startup’s mission is to transform how startups are discovered and funded—so that the most promising ideas don’t get missed. Their platform powers sourcing, diligence, and pipeline workflows for top venture firms and startup buyers by providing the richest real-time index of early-stage companies available.
Their vision is to become the source of truth for startup data—fueling smarter investing, better GTM, and faster talent matchmaking.
🏗️ Product: This Startup is building the startup discovery engine of record—a single platform that combines real-time data, an AI research assistant, and collaborative CRM tools.
Key capabilities:
“Scout” investment agent: AI-powered research assistant for startup due diligence
Flow CRM: Workflow tool for tagging, annotating, and managing startup interactions
Granular search: Find startups by stage, team size, domain, funding, and other signals—down to “two founders in a garage”
Used daily by investors, corp dev, and talent teams to discover and act faster on high-potential startups.
📣 Talking Points:
Double-digit ARR with a 15-person eng team: This Startup is moving fast and shipping real product that drives ARR—without bloated teams or half-baked ideas.
Redefining how venture capital works: The best startups get missed all the time. This Startup is fixing that—by helping VCs and buyers find the next fund-returner before it gets picked up by Crunchbase or LinkedIn.
The tools investors didn’t know they needed—until now: Flow + Scout turns This Startup from a search engine into a system of record for startup relationships. This is Notion x GPT—but purpose-built for the venture world.
🧑💻 Roles: Senior Full Stack; Full Stack (Back End emphasis); Full Stack Engineer
💸 Salary: $180–$250k
🚙 Days Required Onsite: 3
⛑️ Startup #6 ⛑️
🏙️ Hiring Location: NYC
🛠️ Industry: AI, Healthcare
💸 Round/Funding: Seed, $11M
🏦 Investors: A*, Box, Epic Ventures, Liquid2, Maverick, SV Angel
🙏🏼 Mission/Vision: Increase America’s health span and provide 100M+ American employees and their families with an affordable, accessible, high quality, and aligned advanced primary-care experience.
🏗️ Product: A B2B2C healthcare platform that connects large employers and health insurers with high-quality, cost-effective advanced primary care providers. It operates as a marketplace that helps employers choose, contract with, and offer access to top-tier clinics and care organizations like One Medical, Galileo, Marathon, and others.
It’s like a matchmaking + infrastructure layer between modern care providers and the employers who want to offer them as benefits.
📣 Talking Points:
$11M raised from top investors like A*, SV Angel, Liquid2, and Box — building the next-gen health benefits platform for large employers.
Early traction with major customers like 7-Eleven and large employer groups (HTA, Cincinnati Employers Group), with 2–10x industry engagement rates from employees.
B2B2C marketplace model that connects employers to high-quality advanced primary care groups (e.g. One Medical, Galileo), already scaling nationally.
🧑💻 Roles: Staff Software Engineer
💸 Salary: $175k-$200k
🚙 Days Required Onsite: 2
🪄 Startup #7 🪄
🏙️ Hiring Location: SF
🛠️ Industry: AI, Automotive
💸 Round/Funding: Seed, $17M
🏦 Investors: Breakpoint Capital, Explorer Fund, Flex Capital, Unpopular Ventures, YC, a16z
🙏🏼 Mission/Vision: This startup’s mission is to modernize how automotive dealerships handle communication by deploying intelligent AI agents that function as reliable, first-line team members.
The long-term vision is to build a fully autonomous AI teammate capable of managing all dealership communication and back-office tasks — from handling phone calls to executing service requests — allowing human staff to focus on high-value customer interactions like relationship building and closing sales.
🏗️ Product: This startup provides customizable AI agents for automotive dealerships that:
Answer 100% of inbound calls
Handle a wide range of service and sales requests autonomously
Are tailored to each dealership’s brand, tone, and workflows
Use multi-model LLM orchestration, including OpenAI, Anthropic, Meta, Groq, and in-house models
Support natural conversation, with edge-case training and environmental awareness
Integrate with internal systems like DMS, CRM, service scheduler, and external sources like NHTSA and Black Book
This startup’s voice AI platform was built entirely in-house.
📣 Talking Points:
AI voice agents for dealerships, already handling 1M+ call minutes since launch.
Backed by a16z, YC, and CarDealershipGuy and have clear PMF — with some dealerships seeing millions in recovered revenue and >50% of tasks fully handled by AI.
10-person team in SF early-stage, huge ownership, deep technical surface.
🧑💻 Roles: Senior Product Engineer
💸 Salary: $180k-$250k
🚙 Days Required Onsite: 3
☁️ Startup #8 ☁️
🏙️ Hiring Location: NYC
🛠️ Industry: AI, DevTooling
💸 Round/Funding: Series A, $24.3M
🏦 Investors: Aaron Levie, Anton Troynikov, Buckley Ventures, Daniel Gross, Framework Ventures, Nat Friedman, Naval, Sound Ventures
🙏🏼 Mission/Vision: This startup is on a mission to eliminate cloud complexity. By combining deep infrastructure insight with powerful AI agents, the company automates configuration, optimization, and incident response—freeing engineers to focus on building, not debugging.
Vision: Infrastructure that configures, optimizes, and heals itself with minimal human intervention.
🏗️ Product: This startup’s current product automates cloud cost optimization by delivering personalized recommendations tailored to each customer’s infrastructure profile.
The upcoming product evolves this into an AI-driven infrastructure agent that:
Understands infrastructure deeply
Optimizes configurations
Automatically detects and resolves issues
Launches infrastructure in its best state from day one
Operates under outcome-based instructions (e.g., “keep this fast and reliable”)
📣 Talking Points:
From Monitoring to Autonomy - This startup isn’t building another DevOps tool—it’s building self-operating infrastructure that acts on your behalf, not just reports issues.
Proactive, Not Reactive - The AI agent prevents problems before they happen, optimizes configurations upfront, and handles outages without human input.
Deep Stack Automation - Competing with players like DataDog, This startup goes deeper—not just observing infra, but managing and evolving it in real time.
🧑💻 Roles: Product Engineer; Artificial Intelligence/Machine Learning; Infrastructure Engineer; Senior Back End
💸 Salary: $200 - 300K
🚙 Days Required Onsite: 5
💸 Startup Engineering Compensation Calculator 💸
If you haven’t already, checkout our Engineering Compensation Calculator, a zero-fluff tool powered by thousands of verified offer letters from VC-backed startups.
Still Here? Then why not book a call with our team! We’d love to help you find your next role. Grab a quick 15-minute consultation call with our recruitment experts to learn more about these opportunities.
Have a friend, colleague or classmate who might be interested? Feel free to reply with their email or forward this to them. We offer very generous referral incentives 💰
Not interested in receiving this? Hit unsubscribe below (I will miss you though).