Looking for an ex Big Law 6-10 years+ Corporate transactions, ECVC/Startups, IP/Data/MSAs/Data Licensing or similar frontier tech type practice.

Ideally came from Biglaw pedigree, must have gone in-house to a Tech startup/AI lab for sometime but want something more exciting, part of a small but extremely high impact team.

Work directly with founders, C-suite. Hands on IC, startup scrappy culture.
Well backed AI startup with runway and capacity to grow.

Base + competitive equity on offer. Based in or happy to move to San Mateo, CA.

DM me.

hey all in the Robotics community, wondering if we have any Software Full Stack, Mechanical, Design, Electrical Engineers based in or keen to move to the Bay Area for well funded Robotics AI startups?

Experience in Humanoids, Robotics, Hardware industry is a must.

Various eng disciplines welcome as I have multiple openings right now.

DM me. Thanks yall!

hey all in the Robotics community, wondering if we have any Software Full Stack, Mechanical, Design, Electrical Engineers based in or keen to move to the Bay Area for well funded Robotics AI startups?

Experience in Humanoids, Robotics, Hardware industry is a must.

Various eng disciplines welcome as I have multiple openings right now.

DM me. Thanks yall!

For quants and tech folks in funds environment who want out.

Roles include Founding Eng, Product Eng, Member of Technical Staff, FDE.

Variety of AI verticals: Enterprise AI, consumer tech products, finance, ML/DL/RL, physical robotics, AI security, compliance. Some of these firms founded by former quant/HF pedigree too.

Interesting problem solving, different WLB.

Pays between 180-300k base, some pay up to 400 base for exceptional profiles. Many of these comp package include equity.

I’ve 10+ firms with various roles. The match and pipeline obviously depends on your education background, your experience + your interests. Will try my best, run you through and match meaningfully.

US based Quant Devs, SWE and QR specifically - if you’re keen, DM me.

Been neck deep in FDE hiring lately so figured I’d share what I’m seeing, patterns from going through a lot of these specs, pls don’t downvote I don’t dictate these specs/control hiring outcome.

Take it as you will.

The tech bar is the same everywhere

Python, TypeScript, REST APIs, some cloud. That’s it. Almost every single spec. So if you’re getting filtered out, it’s probably not your stack.

Talked to a bunch of hiring managers about failed FDE hires. Same thing comes up every time:

“They kept waiting for someone to tell them what to build.”

These aren’t normal eng roles. No PM, no clean spec.

You walk into a customer’s environment, figure out what’s broken, and fix it. Sometimes in a codebase you’ve never seen. Usually with the customer (some sort of executives, people with authority)

When specs say “comfort with ambiguity” and “lead with no playbook”, they really do mean it.

Two very different jobs are being called “FDE” right now:

One is bit more technical, writing production code inside customer environments, owning integrations, shipping fast.

The other is more operator/strategist (or an evolved PM as I like to view it), still technical but more running pilots, driving adoption, working with business stakeholders. Less coding, more problem structuring.

Different profiles, different comp, different career paths. Worth knowing which one you’re going for before you apply.

Also, FDE isn’t just for engineers

This is important and I don’t see it said enough.

Researchers, analysts, scientists, deployment strategists, all showing up in these specs. The common bit isn’t the title, it’s the operating model. Embedded with or close to the customer, owning outcomes, sitting at the intersection of technical and business context.

If you’re a researcher who’s worked with enterprise clients, an analyst who’s owned implementations, or a scientist who’s taken models into production, you’d probably be more relevant here than you think.

What I keep seeing on the reject side too:

If your background is mostly structured environments where someone else defined the problem and you executed that’s a tough sell. These teams want real ownership, direct customer contact, startup exposure.

Pure Big Tech with nothing else is a flag too. Not impossible, but you’ll need to show the ownership piece clearly.

Verticals moving fast:

Insurance AI is busier than I expected. Consumer Tech AI, busy for sure lots of problems to solve more. Healthcare AI high volume, more niche(?) like AIDD for example. Defense tech smaller pool but picking up. Legal AI early but picking up.

That’s what I’m seeing from the recruiting side.

Happy to answer questions have been engaged on a number of these searches across SF and NYC so have a decent read on what’s moving.

Been neck deep in FDE hiring lately so figured I’d share what I’m seeing, patterns from going through a lot of these specs, pls don’t downvote I don’t dictate these specs/control hiring outcome.

Take it as you will.

The tech bar is the same everywhere

Python, TypeScript, REST APIs, some cloud. That’s it. Almost every single spec. So if you’re getting filtered out, it’s probably not your stack.

Talked to a bunch of hiring managers about failed FDE hires. Same thing comes up every time:

“They kept waiting for someone to tell them what to build.”

These aren’t normal eng roles. No PM, no clean spec.

You walk into a customer’s environment, figure out what’s broken, and fix it. Sometimes in a codebase you’ve never seen. Usually with the customer (some sort of executives, people with authority)

When specs say “comfort with ambiguity” and “lead with no playbook”, they really do mean it.

Two very different jobs are being called “FDE” right now:

One is bit more technical, writing production code inside customer environments, owning integrations, shipping fast.

The other is more operator/strategist (or an evolved PM as I like to view it), still technical but more running pilots, driving adoption, working with business stakeholders. Less coding, more problem structuring.

Different profiles, different comp, different career paths. Worth knowing which one you’re going for before you apply.

Also, FDE isn’t just for engineers

This is important and I don’t see it said enough.

Researchers, analysts, scientists, deployment strategists, all showing up in these specs. The common bit isn’t the title, it’s the operating model. Embedded with or close to the customer, owning outcomes, sitting at the intersection of technical and business context.

If you’re a researcher who’s worked with enterprise clients, an analyst who’s owned implementations, or a scientist who’s taken models into production, you’d probably be more relevant here than you think.

What I keep seeing on the reject side too:

If your background is mostly structured environments where someone else defined the problem and you executed that’s a tough sell. These teams want real ownership, direct customer contact, startup exposure.

Pure Big Tech with nothing else is a flag too. Not impossible, but you’ll need to show the ownership piece clearly.

Verticals moving fast:

Insurance AI is busier than I expected. Consumer Tech AI, busy for sure lots of problems to solve more. Healthcare AI high volume, more niche(?) like AIDD for example. Defense tech smaller pool but picking up. Legal AI early but picking up.

That’s what I’m seeing from the recruiting side.

Happy to answer questions have been engaged on a number of these searches across SF and NYC so have a decent read on what’s moving.

Title pretty much.

I'm hiring 3 Analysts for a Tech/Applied AI startup in NYC.

If you are in the Tiger cubs, large pod shops doing Equity Research (any sector), Strategy Research as a QR, Analyst and up to Sub PM.

You feel tired of all the constant churn, market vol

You enjoy this sector but you're spent

You enjoy building tools, dabbled in AI workflows, code relatively well, you enjoy people interactions

You still want to remain in the industry, but not doing the investing or trading all the time

I've got a role for you in NYC (no sponsorship). Pays competitive, up to 250k first year.

Ping me.

Research Analyst role - Applied AI/Tech

Will keep it short folks.

NYC based role.
Current or ex Equity Research no more than 6 years, have to be on the public equities desks ideally at a fund or a big bank.

Believes in and demonstrated building, integrating AI tools that help with your equity research work.

Communicates well, collaborative environment, wants to work in the intersection of equity research but leveraging AI tools.

Pays up to 220-250 base.

TLDR, if you work in equity research, likes to tinker and use lots of AI tools, build research projects in your free time, wants to stay in research but not necessarily be tied to trading P&L, hire and fire culture all the time (let’s be honest it do be like that in our space), ping me.

Attorneys, full transparency I'm a recruiter who got burned out and felt like I reached the ceiling of learning.

I needed a breadth of fresh air and new exposure, hence recently moved into legal with a background 6 years recruiting for Life Sciences (blue chip pharma, AI drug discovery, biotech clients) and Investment Management (hedge funds, trading tech).

My no. 1 priority and why candidates and clients work with me is, they feel like I take good care of them, and I'm always accessible and give them time of day to discuss and bounce ideas as peers and friends rather than treating folks as transactions.

I am based in Asia, have family in the Florida that I haven't seen for 20 years and looking to visit them. I'm supporting mid-senior associates search on behalf of 3-5 different firms (AmLaw100) across M&A, ECVC, Securities/Investment IP related practice.

Hiring offices are NY, SF, Sillicon Valley, Seattle, Boston. WIth flex to work hybrid, manageable hours and mentorship.

HMU, I might be useful now or in the future, I'd love to collab with you folks, or if you have any advice I'll really appreciate it too please DM me. TYSM!