Ask HN: Who is hiring? (November 2026)
Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.
Please only post if you are actively filling a position and are committed to replying to applicants.
Commenters: please don't reply to job posts to complain about something. It's off topic here.
Readers: please only email if you are personally interested in the job.
Searchers: try https://gethnjobs.com/, https://hnwork.app, https://nthesis.ai/public/hn-who-is-hiring, https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com.
Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=50338726
168 comments
[ 3.0 ms ] story [ 62.6 ms ] threadHi HN, I'm Adriaan. Simple Analytics exists thanks to HN: it started with my Show HN in 2018 [1]. Today we're a self-funded, profitable team of four building privacy-first analytics.
Privacy is why we run our own bare-metal servers instead of the cloud. We're preparing for a LOT more traffic, and you'll own the infrastructure and its reliability. We have good documentation. First project: leading the infra side of our Elasticsearch to ClickHouse migration, with Alex, our developer.
Stack: Ansible, OpenTofu, Docker Compose, Grafana, GitHub Actions, TypeScript. Clear async communication matters more than knowing every tool.
You can apply from your terminal:
[1] https://news.ycombinator.com/item?id=18024277When you say "Full-time, 32h, 24h possible | €5,000/month (full-time)" is the €5,000/month salary pegged at 40h/week so that the actual payment is scaled up/down based on the number of hours worked per week?
Although we are flexible to move days back or forth between weeks.
A tip for the upcoming ones: please tell us about yourself instead of repeating the job ad back to us. Leave your AI off for 10 minutes, and give us those spelling mistakes!
Synteq is a developer cloud running our own hardware and network. We do large-scale bare-metal, GPU, VPS, storage, and PaaS deployments across 5 US datacenters.
- Growth Lead: own top of funnel for a developer cloud product, covering SEO, community, PLG, and partnerships. Open to people new to growth or with some experience. https://synteq.com/career/growth-lead
- Systems Administrator: Proxmox hypervisors, networking, physical builds, Ceph, and bare metal. Ideally 2–15 YOE. https://synteq.com/career/systems-administrator
Small, close-knit team that takes on hard problems. We've grown a lot this past year and there's much more ahead. Come build it with us.
Full-Stack & Applied AI Engineer with 3.5+ years of experience (5+ cumulative) building scalable web applications, robust backend architectures, and production AI integrations.
Highlights: - Built Clip Matters: AI video intelligence platform with semantic vector search (Qdrant), background processing, and modern React interface. - Developed Orange Express: High-throughput 14-stage financial state machine with real-time audit logging and payment gateways. - Experienced in building AI-powered bots, real-time messaging, and multi-tenant SaaS.
Experienced working asynchronously with remote teams across the US, UK, EU, and GCC with high responsiveness and clear communication.
Our group at Cambridge works on Earth Observation foundation models (Tessera: v1 https://arxiv.org/abs/2506.20380, v2 https://arxiv.org/abs/2607.03949, https://geotessera.org/) and we've started a collaboration with Manchester to understand how they can be used to improve pollution models and then environmental decision making in general. This involves training new models and doing high-resolution inference across national or even global scales, as well as figuring out how to use that data to help policymakers make better decisions.
As part of this work we have a PhD studentship through the joint Manchester-Cambridge Centre for Doctoral Training for AI in Decision Making for Complex Systems. This involves one year at Manchester doing taught postgraduate study and then three years at Cambridge for the PhD.
Our work is all open source and involves solving significant compute and data challenges. Training our current-generation model takes ~250k GPU hours and a single year of global inference needs to move over 5.5 petabytes of data through the inference pipeline. This project would suit someone with strong machine learning and software engineering experience. We can help you build the atmospheric science and Earth Observation skills.
We are a highly collaborative group who spend our time not only on foundational research but also on developing applications with practitioners and decision makers. Our work sees use in many industrial, academic and government environments for problems like crop classification, tree species mapping and change detection.
You can find out more here: https://www.findaphd.com/phds/project/from-satellite-to-stre... - if you have questions about the project you can contact me, Sadiq Jaffer, at sj514@cam.ac.uk . For questions about the application process you'll want aidecisionscdt@manchester.ac.uk .
Application deadline is Friday 4th of December with a course start date of September 2027.
Please note: working proficiency in Dutch is strictly required for these roles, and we kindly ask for no automated applications. The rest of this post will continue in Dutch.
Wij zijn een non-profit die zich inzet om lesmateriaal voor scholen beter, betaalbaarder en flexibeler te maken, in zowel digitale als gedrukte vorm.
Werktijden en kantoordagen zijn flexibel en worden in overleg bepaald op basis van de rol. Wij bieden een competitief salaris.
Openstaande rol:
- Senior Frontend Engineer Ervaring met Yjs of vergelijkbare CRDT frameworks/algoritmen vereist.
E-mail jobs[at]openeducation.foundation met (HN) + de functienaam in het onderwerp, samen met een korte introductie en een link naar je LinkedIn-profiel en/of GitHub. Als er van beide kanten een goede match lijkt te zijn, plan ik graag een kennismakingsgesprek in.
https://openeducation.foundation | https://www.neon.nl
At Shepherd, we're pursuing the most ambitious technical vision in commercial insurance: fully autonomous underwriting. Shepherd is an AI-native commercial insurance platform transforming how high-hazard industries get covered.
The infrastructure behind the AI boom (data centers, semiconductor fabs, renewable energy assets) has to be built and insured, but traditional carriers weren't built for this speed. We built Shepherd to solve that.
We announced our $42M Series B earlier this year! That brings our total funding to over $60M — led by Intact Private Capital, the investment arm of one of the largest insurers in the world. Intact is not only our lead investor but also a carrier partner, a testament to the confidence the incumbent industry has in what we're building.
We’re looking for product-minded, high ownership engineers to join our team! The Engineering team is HQ’d in SF, but we’re growing in NYC now too!
We’re hiring for 2 Senior SWEs, 1 MLE and 1 AI PM in SF, and 2 Staff SWEs in NYC. Engineers own projects end-to-end so full stack ability is expected.
Check out our open roles here: https://shepherdinsurance.com/careers Our stack includes: Typescript, React, Next.js, GraphQL w/ Apollo, Node.js, Postgres & Redis – If you have experience building AI agents or multi-step reasoning systems, we’d love to hear from you.
* In the form, be sure to mention that you heard about this opportunity via Hacker News. If you want to read more about our team and culture, check out our blog: https://shepherdinsurance.com/blog
We're a small, bootstrapped, profitable AI consulting firm. We embed with small and mid-size businesses (wealth management, real estate, construction, higher ed, nonprofits), learn how the work actually gets done, build what makes sense (mostly Claude: skills, agents, connectors, MCP) and train every person until they don't need us. We went from 1 client in February to about 20.
You'd own client relationships end to end: discovery, the build, the training. Strong builders who can also explain things to a 60-year-old business owner do very well here.
Apply (written answers + a short video, about an hour): https://www.bridgeaiconsulting.com/careers?src=hn
United Risk is a global property and casualty insurance underwriting and distribution platform, with practices from surety to aviation to fine art. Our in-house AI team builds the tools that make specialist underwriters quicker and smarter: submission ingestion, underwriting workbenches, risk analysis and back-office automation.
All roles: 0–4 years of experience (internships and co-ops count; new grads and junior engineers welcome), strong Python, working SQL, and something you built that you can show us: GitHub, a deployed app or a portfolio. Each role leans one way, but everyone works across apps, data and infrastructure, and three senior AI engineers review your work. Start dates from December 2026.
Hybrid: in office at Rockefeller Center, NYC; you'll need to live within commuting distance (NY/NJ/CT).
Stack: Python, SQL Server, Azure AI services (incl. Document Intelligence), Claude and OpenAI APIs, self-hosted models on our own GPUs
- Application Development (full-stack): AI apps and agentic workflows underwriters use every day, including LLM document extraction with human review built in. https://jobs.lever.co/auw/9234d6e2-f306-48d9-9cd6-9192d34d88...
- Data Science: pipelines, models and RAG/document Q&A that turn submissions, policies and loss runs into risk insight; a grounding in statistics. https://jobs.lever.co/auw/6f317af6-4362-4dea-accc-e86ec1d102...
- Infrastructure/DevOps: deploy, monitor and secure AI apps on Azure, run models on our own GPU servers, CI/CD and pipelines; Linux and a major cloud. https://jobs.lever.co/auw/515a3498-4257-4e68-91ff-cf82e854f1...
Benefits: Our Benefits Include: - 100% employer-paid medical, dental, and vision insurance for employees. - 401(k) plan with 100% immediate vesting and a 4% company match. - Paid time off (PTO) and paid holidays. - Life, disability, critical illness and accident insurance. - Employee Assistance Program (EAP). - Pre-tax Flexible Spending Accounts for health, dependent care, and commuter-related expenses. - Tuition reimbursement. - Fitness reimbursement and various additional quality-of-life benefits.
We build and run our own brands (race finders, training tools, AI guides, sports media) with a small remote team and a lot of AI agents.
Most of our brands have an identity that is good enough. We want someone with a sharp eye to make them good: logo refinements, lockups, favicons, social and OG images, colour and type rules. It's polish and judgment, not starting from scratch. Our agents do the digging, so you spend your time designing.
Please include identity work that is live somewhere. There's a short assessment, read by a person. https://wetheflywheel.com/en/careers/brand-product-designer/...
* 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
* public compensation calculator! see immediately what you'd get paid
* we're hiring: ai research engineer, technical customer success managers (americas & emea), finance manager, site reliability engineer, and more. https://posthog.com/careers
Kanmon is a venture-backed fintech startup making business financing more accessible.
Our team is growing and we are looking for an ambitious full stack engineer with 2–4 years of experience who loves building, moves fast, and wants real ownership.
You will work with a small, talented engineering team, ship meaningful products, and have a real impact from day one. It's also a role where you wear many hats.
full stack TypeScript, +++ energy
mags@kanmonhq.com
We are a funded and backed venture building the regulated base layer for tokenized commodities including the US-regulated trading venue, Mint and benchmarks, bridging institutional commodity markets and on-chain finance. Commodity markets trade tens of trillions a year on infrastructure designed for paper-based trading; we are what comes next. Launching Q1 2027.
Roles currently available:
VP of Engineering: owns the platform end to end, from on-chain contracts (Avalanche) to the trading engine, custody integrations and institutional-grade security and operations. A VP or SVP who still builds and ships, not one who just manages others; you will have a real say in the architecture before we finalize it and will work with leaders in tech and commodities. You must have done this before: delivered a trading venue or institutional token issuance, end to end. $200K to $300K base plus equity depending on experience and location.
Lead Product Manager: works with our partners and customers to ensure the launch product suite is fit for purpose and aligns participant experience across onboarding, trading, collateral and reporting. You must have shipped products in a regulated financial venue, exchange, clearing house or institutional crypto platform, you write the spec yourself, and you have run product through a regulator's questions. $150K to $240K base plus equity.
We hire on written replies and quality of CVs. We read every reply ourselves, so please write yours yourself. Send a short note on what you have built that is closest to the seat, with references, to careers@neo.co and put the role in the subject line. Please mention you came from HN.
Remote: Yes (EU/US time zones)
Willing to relocate: Yes.
Technologies: Rust, Python (PyTorch, NumPy/Pandas, Flask, Django), PyO3 Databases/infra: Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s) ML and systems: vLLM, TensorRT, Ray, edge ML inference, gRPC/Protobuf, systems profiling (perf, flamegraphs, Valgrind) Rust focus: Async services (Tokio, Axum/Actix), data/compute (Polars/Arrow), database proxies, performance-critical pipelines.
Domain expertise: - Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience. - Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
Email: hn [at-symbol] vixe.re
Fusionality builds integrated operations technology for fusion devices, spanning real-time diagnostics, control, actuators, data systems, and simulation. Built on decades of operational experience at the Swiss Plasma Center at EPFL, we help fusion teams run their machines more safely, reliably, and efficiently through combined physics, software, hardware, and control expertise.
* Senior Control Systems Engineer
* Computational Scientist / Scientific Machine Learning
* Data/ML engineer, fusion data
Learn more & apply at: https://fusionality.com/careers/
I run the US West Specialist Field Engineering team at CoreWeave. We work hand in hand with the labs pushing the boundaries of AI, on some of the largest GPU Kubernetes clusters in the world. Specialist Field Engineers own the technical side of the customer relationship: architecture, proofs of concept, and the hard debugging nobody else can do. What you learn in the field feeds straight back into the product.
Must live near one of the cities above. This is a hybrid role, and we do not offer relocation.
Must have deep experience in these areas. It's in the title. The work we do goes exceptionally deep, and we need people who are already experts in one of these areas.
* Kubernetes [ https://grnh.se/7j1kydde6us ] You've written a production k8s operator, in go or rust. Bonus: GPU scheduling (device plugins, topology, MIG, RDMA), control plane scaling at thousands of nodes, Slurm, CNCF contributions.
* Security [ https://grnh.se/jxbek1o66us ] You've secured large-scale infrastructure and can trace an identity or isolation problem from the IdP, through the kernel and network, into Kubernetes. Bonus: threat modeling against SOC 2/FedRAMP, confidential computing and attestation, Falco/Tetragon, DPU/GPU/secure boot.
* Storage [ https://grnh.se/137kuvyv6us ] You've built or run a parallel filesystem (VAST, WEKA, Lustre) at scale, and can explain in detail how S3 works under the hood. Bonus: NFS-over-TCP debugging at scale, checkpointing for AI training, CSI drivers, kernel NFS/Lustre/Ceph contributions.
* Compute Infrastructure [ https://grnh.se/q3hmrcf56us ] You've brought up and validated large GPU clusters on GB200/GB300-class hardware, from InfiniBand/RoCE fabric validation thorugh PXE boot and NCCL acceptance. Bonus: firmware/BMC/BIOS, bare metal, Kubernetes, or Slurm.
If you're local and that's you, apply through the links above (they route to me) and mention HN.
We're preparing a U.S. Department of Education SBIR Phase IA proposal to build an assessment reasoning platform for school speech-language pathologists. It implements TTL-MSM, a fully specified decision framework for one of the hardest calls in school eligibility evaluations: whether a student's communication profile reflects a disorder or a difference. Clinicians code each source of evidence, and a fixed rule combines them. The rules are written; the software isn't. The research lead is at Baylor University.
Prototype Developer ($70–95/hr): build a browser-based web app from a written spec, with privacy designed in from the start so it's ready for FERPA-protected student data later. About 15–20 hrs/week for nine months if funded.
Technical Product Lead ($75–100/hr): the bridge between the clinical spec and the engineering. Scope the prototype, turn the spec into requirements, and keep the build on schedule. About 5–8 hrs/week for nine months if funded.
Pre-award scoping (10–15 hrs for the developer, 5–10 for the lead) is unpaid, and funded work is contingent on award. U.S. citizens or permanent residents.
Apply (structured application, about 30 minutes; replies within five business days):
https://orffmaestra.com/developer
https://orffmaestra.com/technical-lead
We're founding an in-house AI unit and hiring its first two engineers. You'd work directly with the unit's head and shape how it's built from day one. Software work: LLMs, data, APIs and the systems around them.
Senior AI/ML Engineer: LLM assistants and agents over real company data, Arabic and Saudi-dialect language work, a proper evaluation practice, and open-weight models on our own hardware. The unit publishes research, with the opportunity to co-author.
Senior Backend Engineer: the services and integrations connecting AI to enterprise systems and operational data, on a modern serverless stack. Reliability, security and clean data are the job.
Package: competitive salary, housing and transport allowances, family medical insurance, annual flights.
Apply at https://zalvi.app, a short game-like screening assessment we built ourselves (English or Arabic). Shortlisted applicants move to the next stage.
FutureSearch builds AI that predicts the future. You can see our public track record on our site. We launched the FutureSearch product this August. We also publish benchmarks and datasets, and do work for frontier AI labs.
I'm the CEO, previously CTO of Metaculus and creator of Google's current internal prediction market. FutureSearch is about ten people, remote-first and concentrated in London.
We're hiring (US pay, adjusted to the local market elsewhere):
- Chief Operating Officer, $180–250k - Director of Partnerships, $160–240k - Director of Strategic Projects, $140–220k - Head of Product, $160–240k - Program Manager, Research, $130–190k - Research Scientist, $160–250k
See the jobs and apply at https://futuresearch.ai/careers/
We build AI agents that run revenue for short-term rental and hotel operators on Booking.com and Airbnb: live prices, promotions and visibility on real portfolios, plus an MCP connector so customers work their accounts from Claude and ChatGPT.
Our engineers no longer type most of the code. Claude Code and Codex do. The hard part is knowing what to build, how it should fit together, and whether what the agent wrote is actually right. You will talk to customers, own the architecture, write the briefs, and catch what the agent missed.
We do not care which language you know.
We care that you can do architecture (single source of truth, clear boundaries, the right layer for a fix) and that you already ship this way.
Big bonus if you have worked on hotels, short-term rentals or dynamic pricing.
Small team, paying customers, hard problems (private OTA APIs, PMS integrations, pricing decisions that move real money). Three interview stages, no take-home. Email me (CTO) directly: martin@mydatavalue.com
Product Engineer: (React/Typescript) who would work closely with product and design to build user-facing parts of the platform. You will craft performant, stable frontends that explain technical concepts to non-technical users and help us iterate fast based on customer feedback.
We're looking to build our in-person team in NYC!
Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume in pdf format.
SwingVision uses computer vision to turn a single phone camera into an automated stats, highlights, and line-calling system for tennis, pickleball, and padel. Models run on-device in real time, and the app won an Apple Design Award for Innovation. We're growing the ML and product teams.
- Head of Machine Learning: https://jobs.deel.com/swingvision/job-details/c2cc0f23-3e59-...
- Machine Learning Engineer: https://jobs.deel.com/swingvision/job-details/cc271cef-58f7-...
- Head of Product: https://jobs.deel.com/swingvision/job-details/cb631dcb-1a80-...
- Machine Learning Intern: https://jobs.deel.com/swingvision/job-details/0597eeac-eded-...
- Data Labeling Intern: https://app.deel.com/job-boards/swingvision/job-details/a9a7...
We build long-endurance autonomous aircraft and the software used to operate them.
Looking for a strong generalist software engineer. Most application work is TypeScript/web, with C/C++ and Rust elsewhere in the stack. You’ll work across frontend, backend, cloud, DevOps, and directly with flight test and hardware teams.
We care a lot about code quality, maintainability, and engineers who can take ambiguous problems and independently ship solid software. No sloppers.
U.S. defense/security eligibility required.
Apply: software@khaero.com