Posted by whoishiring 7 days ago
Ask HN: Who is hiring? (April 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://nthesis.ai/public/hn-who-is-hiring, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....
Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=47601858
The Redistricting Data Hub provides individuals, good government organizations, and community groups the data, resources, and knowledge to participate effectively in the redistricting process. In service of this mission, we host thousands of datasets in all 50 states, and continue to add new data that is useful for map drawing and analysis.
We are currently hiring a full-time data analyst to join our team. In this role, you will work with geospatial data, election results, and other key datasets. We're seeking candidates who are comfortable working remotely on a small team, skilled in data processing and analysis, and experienced with Python.
Applications will be accepted through Friday, May 1, 2026. Visit our website for the full job description, including responsibilities and application instructions: https://redistrictingdatahub.org/join-us/work-with-us/
Modal builds the serverless cloud used by many of the most popular AI companies you've heard of. People use Modal for inference, training, batch operations and also, sandboxes. A good example is the Ramp Inspect tool, that was built on Modal sandboxes. https://engineering.ramp.com/post/why-we-built-our-backgroun... — We also recently passed over a billion sandboxes created and on our way to 2B soon.
I am one of the hiring managers here, hiring for the Product Engineering team that builds the observability tooling for our developers. Modal is the cloud for many of our customers and we help them reason about what's happening in their systems, help them expand their use and generally have a good experience.
If you are interested in a product engineering role, please feel free to reach out directly via email at can@modal.com with a recent resume. This role is NYC based and is on-site, so please mention your current location to be considered. I am especially looking for folks with deep ClickHouse, Postgres, Redis, and Python experience.
Product Engineering Role: https://jobs.ashbyhq.com/modal/a4b8b2b6-5d0c-4ba6-9256-b84be...
For all other roles, please apply from our website.
All roles: https://modal.jobs
We're a VC-funded startup (recently raised $51M Series C) building an infrastructure orchestrator and collaborative management platform for Infrastructure-as-Code – from OpenTofu, Terraform, Terragrunt, CloudFormation, Pulumi, Kubernetes, to Ansible.
On the backend we're using 100% Go with AWS primitives. We're looking for backend developers who like doing DevOps'y stuff sometimes (because in a way it's the spirit of our company), or have experience with the cloud native ecosystem. Ideally you'd have experience working with an IaC tool, i.e. Terraform, Pulumi, Ansible, CloudFormation, Kubernetes, or SaltStack.
Overall we have a deeply technical product, trying to build something customers love to use, and have a lot of happy and satisfied customers. We promise interesting work, the ability to open source parts of the project which don't give us a business advantage, as well as healthy working hours.
If that sounds like fun to you, please apply at https://careers.spacelift.io/jobs/3006934-software-engineer-...
You can find out more about the product we're building at https://spacelift.io and also see our engineering blog for a few technical blog posts of ours: https://spacelift.io/blog/engineering
Promptless builds AI agents that automatically update customer-facing documentation. Startups, CNCF projects, and Fortune 500 companies use us. YC-backed with a seed round from top VCs and angels.
This is a one-of-one role. You'll own the documentation practice at Promptless: onboarding customers onto the platform, building the methodology for AI-assisted documentation, and growing our reputation as the company that makes docs teams more effective. Think practice lead at a top consulting firm, except the domain is docs and the leverage is AI.
You should have deep experience in technical documentation (developer docs, API references, support content), be comfortable reading code, and be excited about pushing the boundaries of LLM-assisted writing. You'll be building this function from scratch, so an entrepreneurial mindset is key.
Read more: https://promptless.ai/jobs#founding-docs-practice-lead
Email us directly: founders@promptless.ai (mention HN!)
--- ALSO ---
Promptless (YC) | Founding Engineer | San Francisco (Onsite) | Full-time | $140k–$200k + equity
As a Founding Engineer, you'll build the core product—AI agents, integrations, and infrastructure that powers automatic documentation updates.
Read more: https://promptless.ai/jobs#founding-engineer
Same deal. Email us directly: founders@promptless.ai (mention HN!)
I’m the CTO at GameBrain. I previously spent 6 years helping to build autonomous vehicle perception stacks at Cruise and Ford.
At Gamebrain, we’re applying SOTA computer vision models to help teams dramatically accelerate game prep and scouting, saving days of manual repetitive work per week to give coaches and analysts massive leverage over their opponents. One of the biggest unlocks: legal access to real, high-quality sports data through deep relationships in the sports industry. Anyone who has built production CV systems knows how rare, and how valuable, that is.
I'm hiring a Staff Deep Learning Computer Vision Engineer. If you've spent your career designing, training, and scaling complex perception stacks - in AV, robotics, AR/VR, or anywhere that demands rigorous 3D spatial reasoning and multi-view fusion - this role was made for you.
The engineering problems: automated homography with unknown camera intrinsics/extrinsics, temporal tracking through heavy occlusion, and multi-view sensor fusion.
We do not want a 50-person engineering org. We want a highly elite and specialized team to outperform massive legacy organizations.
You will own the zero-to-one architecture of our perception pipeline. We just hired an Active learning expert from the self driving car space who you will work closely with.
You must deeply understand projective geometry, representation learning vs. pixel reconstruction, and how to build robust active learning loops.
We compensate at parity with tier-one AV companies (Tesla, Waymo) for this role.
Location: Anywhere. Required to come to Troy 1-2 weeks per quarter (which we will pay for). Required to take meetings when needed during Eastern Time hours.
If you are a high-leverage operator who wants to build complex spatial architecture that actually sees production on day one, apply below:
PrairieLearn (https://www.prairielearn.com) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams.
We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one.
Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: https://github.com/PrairieLearn/PrairieLearn
Details:
- Location: Remote (US only)
- Salary: $100k-$140k depending on experience
- Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours
- Role: Full-time. (We’re not able to sponsor visas at this time.)
Apply at https://www.prairielearn.com/jobs-ashby?utm_source=YeEJ5MAKk...
Senior & Mid-level Software Engineers - end-to-end product engineering and helping build systems that scale
Technical Chief of Staff - CTO's operational right hand. Picks up hard, ambiguous problems across engineering, compliance, and commercial conversations and owns them end to end.
Cassidy is an AI agent and automation platform for non-technical knowledge workers. By connecting to a company's knowledge where it lives and building intuitive core primitives, Cassidy lets non-technical teams automate large swaths of busy work, freeing them up to do the work that really matters. Series A, 25 people, growing fast.
I'm the solo founder/developer of RemoteWorks.pro — a portfolio SaaS for remote professionals. You publish your portfolio on personal subdomain (username.remoteworks.pro) in minutes, with 12 templates, Pro feature gating, a full analytics system, and a built-in SEO content engine (26 blog posts, competitor comparison pages, structured data).
The technical foundation is complete. What's missing is someone who can turn it into a business.
What you'd own: - Growth strategy (SEO leverage, community, content, partnerships) - Acquisition channels — we have comparison pages vs Carrd, Read.cv, Polywork, Contra, etc. ready to rank - Positioning and messaging for the remote work audience - Early user relationships and conversion to Pro ($12/mo or $99/yr)
Who I'm looking for: Someone who has grown an early-stage SaaS or developer tool before. You understand PLG, know how to build in public, and have opinions about which channels to prioritize before paying for anything.
The structure steps up as you prove the role: 10% in year one, 20% from year two, 30% from year two and a half onward. No cliff, no salary — this is a co-founder-level commitment on the GTM side.
Email me directly(me@remoteworks.pro) or reply here.
Appear builds high-performance live media processing and video delivery infrastructure used by broadcasters, sports leagues, and streaming platforms worldwide. We focus on low-latency, high-throughput systems where reliability and performance are critical.
Role: Senior Software Engineer (Rust)
Tech stack: Rust, C/C++, distributed systems, Kubernetes, Linux, networking, media processing
What you'll do:
- Build high-performance backend systems in Rust
- Work on distributed media processing platforms
- Improve reliability, observability, and performance
- Help shape technical architecture
- Strong experience with Rust, C, or C++
- Experience with high-performance or distributed systems
- Solid Linux and networking fundamentals
- Senior-level engineering experience