We are a new discretionary, tech industry focused hedge fund, founded by a portfolio manager with 15+ years of experience at a Tiger Cub. I lead the data/technology team here and previously spent ~6 years in a similar role at a well known Tiger Cub and briefly running a data startup.
We are hiring for: - Fullstack engineer for our internal research management web application
Our tech stack: * Frontend: Typescript, Vue3 * Backend: Cloudflare, Supabase/Postgresql, Typescript *
On the data side: AWS, Cloudflare, Snowflake, Clickhouse, Dagster
Obviously, we are not the only ones trying to figure out how to use AI in investing but in a world where there are lots of people trying to build picks & shovels, this is an opportunity to be one of the goldminers at a greenfield, new firm. This role makes sense for people who are interested in finance/investing (although you do not necessarily have to have experience in the industry).
We're in full-time in office in NYC, so that's a requirement for FTE.
We work very hard, hours are long, and people are very dedicated to the mission. It is not for everyone, but for those interested in competing in financial markets, love startup atmosphere without near-term existential risk, and want to work with super smart colleagues (both technical and investors!), this could be a great fit.
I write about hedge fund data teams frequently here, if you are just interested in learning about the space: https://magis.substack.com/
Target salary 180-250K, depending on experience + Bonus/Carry (hedge fund equity equivalent)
Contact: I am at: ai (at) nx1 (dot) com (I'm Alex, ai are my initials... you are not being sent to an ai :] )
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What we're looking for: - 4-8 YoE in Typescript (we use Vue) + Python experience - Ability to be in-office in NYC - Bonus: SQL (ie. you know Window Functions), AWS (ie. you'd know how to configure an IAM role)
We’re a VC-backed startup of 35 people, with engineering and product based in Sydney. The founding team previously built and exited companies in the fraud and security space (including billion-dollar outcomes).
The role: We’re looking for a senior fullstack engineer who enjoys working across boundaries from TypeScript frontends and backend services to data pipelines and distributed systems. You’ll work closely with our platform and product teams to build the tools that power customer fraud detection and orchestration. Someone who has built vscode extensions or has worked closely in the fraud or security space would be a bonus
Our stack: Rust for the engine, ClickHouse for persistence, TypeScript (React + Node) for frontend and ancillary services, deployed globally at the edge.
Interested? decodeRot13(oqnirl@qnejvavhz.pbz)
Lantern is Series A company, building the future of sales automation with AI agents that actually work. We're replacing the messy patchwork of enrichment tools, intent platforms, and automation software with a single system that does it all—pulling from 150+ data sources to research prospects, verify contacts, and help close deals.
We're a small, focused team tackling hard problems at the intersection of AI and enterprise data. You'll be working directly on the core product, helping us build intelligent systems that can reason about complex sales workflows and make autonomous decisions.
On any given day, you might:
- Build reliable agentic workflows that orchestrate multi-step research and outreach processes
- Design data pipelines that synthesize insights from hundreds of disparate sources into actionable intelligence
- Architect systems that scale gracefully as we handle increasingly complex prospect analysis and verification
- Collaborate directly with early customers to understand how our AI agents can solve their hardest go-to-market challenges
Tools we use:
- Python, LangGraph, BAML, Temporal.io, ClickHouse, Postgres, dlt - TypeScript, React - AWS, Modal.com, K8s, ArgoCD, GitHub Actions
This is a chance to work on genuinely novel problems in AI—not just fine-tuning LLMs, but building autonomous agents that can navigate messy real-world data and make smart decisions. If you're excited about pushing the boundaries of what AI agents can do in production, we'd love to talk.
apply using form, just answer a few questions
PostHog equips devleopers to build successful products by combining product analytics, feature flags, session replay, a data warehouse, CDP and many more.
* we have a public handbook (posthog.com/handbook) if you want to learn how we work, pay and more in complete detail.
* we are growing through more autonomy and transparency not through process.
* we have a ton of scale and a bunch of super interesting technical problems to solve
* we're building 20 more products over the next couple of years, so you could end up building one of those
* we need: product engineers, clickhouse operations engineer, backend engineers, AI product engineers, technical account managers and technical customer success managers.
MachineSP (https://www.machinesp.com/) is a fast growing mortgage-backed securities (MBS) fintech company with a client list that includes most of the largest banks and hedge funds in the industry.
We’re seeking Software Engineers to join our growing engineering team. You’ll help design, build, and maintain scalable systems that power our industry-leading data analytics platform supporting both buy-side and sell-side participants in the MBS market.
You’ll work in a modern cloud environment, collaborating with experienced engineers and domain experts to deliver robust, high-performance applications that provide insight and transparency into complex financial instruments.
Our engineering team makes extensive use of AI tools — including Claude Code, OpenAI, Gemini, Warp, and GitHub Copilot — to accelerate development, testing, and data workflows, giving you the opportunity to work at the forefront of applied software and AI integration.
ClickHouse skills a strong plus. Prior experience in mortgage-backed securities or financial technology is not required, but a plus for candidates interested in applying their technical skills to the capital markets domain.
Responsibilities: - Design, develop, test, and deploy backend applications and APIs. - Build and maintain scalable systems in an AWS environment (EC2, Lambda, S3). - Optimize databases and data pipelines; write clean, efficient Python code. - Work closely with engineers and domain experts to implement analytics solutions.
Qualifications: - 3–7 years of professional software development experience. - Strong programming skills in Python and experience developing and deploying applications in cloud environments. - Solid understanding of database design, query optimization, and RESTful APIs. - Excellent analytical, problem-solving, and collaboration skills.
Why Join Us: - Work on challenging and impactful problems in fintech analytics and capital markets. - Collaborate with a supportive, highly skilled engineers and domain experts. - Gain hands-on experience with large-scale financial data systems and AI-powered workflows. - Competitive compensation, benefits, and growth opportunities.
Send resume/CV -> careers@machinesp.com