Ask HN: Who is hiring? (August 2026)

Hi just applied! didn't see a place to let you know I applied from HN! (i'm the guy with incredibly long name)

Hi Max, I have filled in the form and am looking forward to having a chat

XP Health | Senior Full Stack Engineer | ONSITE 2-3 days per week — San Carlos, CA | Full-time

XP Health is a Series B startup building the next generation of vision care. We're on a mission to revolutionize vision care through cutting-edge technology, including augmented reality, while ensuring a delightful and seamless user experience. We serve 3,000+ clients, including Fortune 500 companies, and have raised $50M+ in funding.

As a Senior Full Stack Engineer, you'll own features end-to-end—from designing and shipping customer-facing experiences to building backend services, infrastructure, and developer tooling. You'll work closely with our founding team & help shape the technical direction of the platform. Our stack includes React, Node.js, and AWS, with opportunities to work across the full stack. Backend leaning, Startup, and AR experience is a plus.

$180K–$220K base + equity, bonus, and strong benefits.

Apply here: https://grnh.se/bhfswi9e5us

Hello Samuel!

Thanks for sharing. I recently applied for the Analytics Engineer role at PermitFlow. My background is in analytics engineering, including dbt, data modeling, ETL pipelines, and data quality/governance. PermitFlow’s problem space and the opportunity to build the data foundation behind a fast-growing product are especially interesting to me. Would love the opportunity to speak with the team.

Tessellate | Full Stack Engineer | Hybrid | Nashville, TN | Full-time

Tessellate is pre-seed and early — this is a real chance to help build a startup from the ground floor, led by second-time founders. There are genuinely hard, interesting data challenges under the hood that push us to lean into AI and machine learning as part of the product itself. We expect our engineers to be AI-native: using the most advanced AI and cloud tooling to ship quality software at pace. Startups aren't for everyone — but you'll learn a great deal, own outcomes that matter, and share in the upside if we win.

We're hiring an associate to mid-level product engineer to build alongside our small team and ship features across the product — from a mobile-first frontend through the Python API and the data beneath it. This is a build-and-ship role: your week is spent turning product ideas into working, tested, shipped features that physicians use.

You won't be alone at the edges. We have fractional senior support for our infrastructure and a dedicated data engineer for the claims layer, so you can lean on real depth where you need it and stay focused on moving the product forward. What we need from you is momentum on the product itself.

$100K - $130K apply at https://jobs.gem.com/tessellate/am9icG9zdDrOWl6wmQoqG4beEY9k...

Tessellate | Senior ML Data Engineer | Hybrid | Nashville, TN | Full-time

Tessellate is pre-seed and early — this is a real chance to help build a startup from the ground floor, led by second-time founders. There are genuinely hard, interesting data challenges under the hood that push us to lean into AI and machine learning as part of the product itself.

Physicians make some of the biggest decisions of their careers with almost no trustworthy information: job posts, recruiter calls, and vague promises about culture. Tessellate is building something better: a physician-first platform that helps doctors see where they'd actually fit, using real clinical data instead of recruiter intuition.

At the center of the product is a matching engine that pairs physicians with organizations. Making it genuinely intelligent is your job.

Our matching engine works today, but it's mostly rules and weights. Over the next year we want to make it genuinely smart; real semantic matching and vector search over physicians, organizations, and clinical profiles - with the rigor to actually measure whether it's getting better. That's the heart of this role.

Two things make it hard. The matching is only as good as the identity underneath it: if one health system shows up as three fragmented records, you get three bad embeddings instead of one good one. And healthcare data is a mess, fragmented across sources that don't agree, so reasoning about fit from it is a genuinely deep problem.

Apply at: https://jobs.gem.com/tessellate/am9icG9zdDousPEmemDgHrTzKprU...