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Happy Friday! This week we’re spotlighting roles at 10 of the hottest ventures in AI, legal bots, DevTools, Web3, and beyond.

💸 Notable Fundraises

LM Arena just closed a $100 million seed round led by Andreessen Horowitz and UC Investments. The Berkeley-born platform that started as a simple way to compare chatbots has become the neutral referee that every major AI lab depends on for credible model evaluation. Read About It Here →

🎧 What We’re Listening To

Tune in to this incredible pod on overcoming adversity, having an insatiable desire for curiosity, all while investing in Uber, Spacex, Deepmind. Listen Here →

Remember to forward this email to any friends who you think have what it takes to work at a tier-1 VC Backed Startup.

💸 Round/Funding: Series A, $20 M

🏦 Investors: Lux Capital; Mantis Ventures; Sequoia

🙏🏼 Mission/Vision: Bring Autonomy to Software Engineering • More concretely, their first and primary goal is to help organizations optimize and automate their software development lifecycle.

🏗️ Product: Accelerates development with autonomous AI agents and unified context from across your engineering context (from GitHub, Notion, Linear, Slack, Sentry, etc.) to complete end‑to‑end tasks. Enterprises are using them to accelerate everything from bug‑fixing and coding to PRD creation, release automation, migrations, and more.

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Senior Full Stack; Senior Front End; Platform Engineer

💸 Salary: $200 – 250 K

💸 Round/Funding: Series A, $60 M

🏦 Investors: Lightspeed; Menlo Ventures; a16z

🙏🏼 Mission/Vision:
Leader in AI for Plaintiff Law, helping them take on more cases and increase revenue.

🏗️ Product:
Legal AI for plaintiff litigation firms. She handles the heavy lifting of a case—from intake through resolution. Built on top of a case intelligence engine, it ingests all case information from legal business and communication systems and uses it to perform a wide variety of legal work including document analysis and legal document drafting.

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Senior Full Stack; Senior Back End; Staff Software Engineer; Artificial Intelligence/Machine Learning

💸 Salary:

💸 Round/Funding: Seed, $5.5 M

🏦 Investors: Google Ventures; Y Combinator

🙏🏼 Mission/Vision:
Builds state‑of‑the‑art tools to generate and edit humans in video. Their models allow business leaders, creators, and Hollywood producers to edit what is already spoken in a video so you don’t have to reshoot it again.

🏗️ Product: Trains audio/video models to generate & edit humans in video.

📣 Talking Points:

🧑‍💻 Roles:
Senior Front End; Artificial Intelligence/Machine Learning; Senior Full Stack; Senior Designer

💸 Salary: 185 K – $230 K

💸 Round/Funding: Series B, $37 M

🏦 Investors: Foundation Capital; Lightspeed; YC; a16z

🙏🏼 Mission/Vision:
Reimagining healthcare operations by building the most powerful AI automation platform for medical practices—starting with the one system no one else dared to touch: the fax machine. Their mission is to eliminate the administrative chaos in healthcare so doctors can spend more time healing, not faxing.
Vision: To become the default operating system for back‑office healthcare automation—powering referrals, payments, records, and claims with intelligent precision.

🏗️ Product:
Tackling one of the biggest pain points in U.S. healthcare: manual administrative work. While other startups are chasing futuristic healthcare dreams, grounded in reality—starting with automating the chaotic but essential communication that happens via fax machines. Their platform “reads” messy medical faxes and automates the workflows behind them—making scheduling, referrals, payments, and records as seamless as ordering food online. They’re not replacing healthcare workers—they’re supercharging them with AI that understands the rules of healthcare’s messy back‑office world.

📣 Talking Points:

🧑‍💻 Roles (p0–p3):

💸 Salary:

💸 Round/Funding: Series B · $80 M

🏦 Investors: Accel · Menlo Ventures · a16z

🙏🏼 Mission/Vision: Accelerate software delivery by replacing slow, monolithic pull-request workflows with fast, AI-assisted “stacked diffs.”

🏗️ Product: A modern code-review platform tightly integrated with GitHub; includes dependency awareness, stacked PRs, and AI suggestions to boost velocity for large engineering teams.

📣 Talking Points:

🧑‍💻 Roles (P0-P3):

💸 Salary (band):

💸 Round/Funding: Series A, $24.3 M

🏦 Investors: Aaron Levie; Anton Troynikov; Buckley Ventures; Daniel Gross; Framework Ventures; Nat Friedman; Naval; Sound Ventures

🙏🏼 Mission/Vision: 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.

🏗️ Product: 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:

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Product Engineer; Artificial Intelligence/Machine Learning; Infrastructure Engineer; Senior Back End

💸 Salary: $200 – 300 K

💸 Round/Funding: Series A, $24 M

🏦 Investors: Liquid2, Redpoint, Sequoia, Tony Xu

🙏🏼 Mission/Vision: Build the most trusted, tech-powered legal brand for everyday people — starting with transforming Personal Injury law through automation, AI, and operational excellence.

🏗️ Product: Reinventing the Personal Injury legal process end-to-end using generative AI, intelligent agents, and automation. Instead of selling point tools to lawyers (like EvenUp), they combine software + services to operate like a tech-enabled law firm, delivering:

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Senior Back End, Senior Full Stack, Artificial Intelligence/Machine Learning

💸 Salary:

💸 Round/Funding: Series A, $13 M

🏦 Investors: Bessemer Venture Partners; Y Combinator

🙏🏼 Mission/Vision: Aims to democratize access to high‑quality developer tools by providing tools that streamline API integration and usage.

🏗️ Product:
Offers a suite of tools designed to enhance the developer experience—automatic API generation, interactive documentation, dynamic backoff, and more—ensuring robust and reliable integrations.

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Senior Back End; Senior Front End; Deployed Engineer; Artificial Intelligence/Machine Learning

💸 Salary: $150 K – $250 K

💸 Round/Funding: Series A, $40 M

🏦 Investors: Abstract; Amazon Alexa Fund; Index; a16z

🙏🏼 Mission/Vision: AI-native platform for generative media, powered by Character-3, our proprietary foundation model. Character-3 is the first omnimodal model in production and enables the creation of high-quality character performances in any style or use case.

🏗️ Product: Character-3 is the first omnimodal model in production, allowing users to generate engaging character performances from just an image and audio. It’s the only model that works across any framing (full body, side profile, close-up, etc) or character type (realistic, animated, animals, etc)

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Lead Product Engineer; Senior Fullstack Engineer

💸 Salary: $200 – $250 K

💸 Round/Funding: Series A, $170 M

🏦 Investors: Databricks; Index; NEA; NVIDIA; Radical Ventures; Snowflake

🙏🏼 Mission/Vision: Leader in multimodal AI that understands videos like humans.

🏗️ Product: Models have redefined the frontier of video‑language modeling and are currently state‑of‑the‑art on many industry and academic benchmarks.

📣 Talking Points:

🧑‍💻 Roles (p0–p3): Artificial Intelligence/Machine Learning; Data Engineer; Infrastructure Engineer

💸 Salary: $220 K – $275 K