Ask HN: Who is hiring? (March 2026)

We are looking for a Senior Data Analyst to work on validation economics, blockchain ecosystem research, and end-to-end data solutions — from modeling and experimentation to dashboards and data platform setup (BigQuery, Python, Airflow/DBT). Crypto experience is a must.

The role involves close collaboration with internal teams, ownership of data marts and reporting, and supporting decisions around yield optimization, new networks, and risk/opportunity analysis across the staking and restaking landscape.

Please apply on: https://jobs.ashbyhq.com/p2p.org/1a780127-c77f-44c3-802b-501...

Apply here: https://careers.qualcomm.com/careers/job/446706704240?domain...

We’re looking for a Kubernetes generalist to help expand and improve our Kubernetes platform automation. If you enjoy writing operators or controllers to automate complex environments, and welcome the challenge of configuring and tuning scaled Kubernetes platforms for enterprise usage, this role should be a good fit.

The work focuses on operating and troubleshooting multi‑tenant Kubernetes clusters across on‑prem bare metal and cloud. We use Rancher with RKE2 on‑prem, and GKE, EKS, and AKS in the cloud. It’s hands‑on, development+operational (DevOps/SRE/Platform Engineering/whatever-its-called-this-week) work: keeping clusters healthy, building and improving automation, supporting high performance GPU workloads, and evolving the platform as Kubernetes and our engineering needs change, all through GitOps style automation.

You’d be joining an experienced Kubernetes team, with room to grow your career through serious project work and mentoring. Example projects include developing self‑healing automation; bare‑metal platform integration, testing, benchmarking, and bring‑up; implementation and evolution of new multi‑tenancy patterns like vcluster; and global policy management using Gatekeeper OPA and Validating Admission Policy.

We’re looking for someone comfortable on Linux (Ubuntu) with a few years of Kubernetes administration experience, solid containerd and Kubernetes control‑plane knowledge, and the ability to write and maintain automation in Python (or Go) and bash. Familiarity with operator/controller patterns, Helm, Kustomize, Kubernetes networking internals (Cilium), git/GitHub, and Agile workflows is expected. Experience with Rancher/RKE2, Portworx, AI workflows/GPUs, OPA, Datadog, is a plus, but not required.

If this sounds like work you already do, or want to do more of, feel free to reach out directly at pkrizak@qualcomm.com. I’m happy to answer questions here or by email.

I built a small AI healthcare SaaS that recently reached six-figure ARR with enterprise customers. The product works and has real users, but I’m now focused on another startup and no longer have time to actively run it.

Much of the business is already automated (billing, onboarding, and parts of support), but there is significant room to improve systems, growth channels, and product experience.

Looking for a technical builder/operator who wants to operate and grow a small SaaS business.

Focus areas: - improving onboarding and reducing churn - running growth experiments (email, outbound, partnerships) - shipping targeted product improvements - standing up marketing and acquisition channels - handling customer emails and occasional calls

Infrastructure scaling and feature proliferation are not the priority.

Compensation: meaningful equity and revenue share with a path to operating and eventually owning the business. A stipend may be available depending on involvement and business growth.

Apply: https://forms.fillout.com/t/m9okbpAu4wus

Apply: https://yourhearo.netlify.app/

Hearo is building an AI platform that turns public internet conversations (Reddit, app reviews, online communities) into structured product intelligence. The goal is to help founders and product teams understand what users actually think about products by analyzing discussions at scale.

We’re looking for a founding engineer to help build the first version of the platform.

The core technical work involves ingesting large volumes of public conversation data, building reliable async data pipelines, and implementing retrieval-augmented generation (RAG) systems that transform noisy discussions into useful insights like product pain points, feature requests, sentiment trends, and competitor signals.

Tech stack is flexible but will likely involve Python or Node.js, Postgres, vector search (pgvector/Pinecone), and LLM APIs (OpenAI/Anthropic). Experience with backend systems, APIs, scraping, or data pipelines is especially valuable. Experience building LLM or RAG systems is a strong plus.

We’re looking for someone who enjoys early-stage product building and is comfortable owning systems end-to-end.

If this sounds interesting, apply here: https://yourhearo.netlify.app/