Ask HN: Who is hiring? (June 2026)

Kanary is a personal security platform that monitors the web to identify and reduce risk based on an individual's threat model. An executive has different exposure than a gamer, and our system classifies each person's risk across 55,000+ sources. We've been building since 2020, started in campaign security, data science, and government agencies, backed by Mozilla and Y Combinator. We have 200+ organizations on the platform and are fully funded by our customers.

Attackers have never had better tools. LLMs, social media, and search surface personal data in new ways. A few prompts can launch a deepfake and impersonation campaign. Risk sources appear and disappear across social platforms, telegram chats, and private data broker platforms. Kanary exists to play the cat and mouse game for people at the speed and scale of an agentic internet.

Kanary is a combination of software workflows (crawling, scraping, automation), AI (data classification, research, code generation), and people (analysts trained to support customers and escalate). This is dynamic system and requires an interest in adversarial programming.

We’re growing our team, and seeking a multifaceted engineer (2+ years experience). Our software stack is python, javascript, react, and for LLMs, we use Anthropic, OpenAI, and experiment with model fine tuning as needed. Experience with web scraping, data pipelines, or security tooling is required.

Must be authorized to work in the US. We’ll evaluate submissions for two weeks.

Email steven@kanary.com with something you've built and why it was hard.

Learn more here: https://www.kanary.com/join-the-team#senior-software-enginee...

We build geospatial AI infrastructure. Our platform lets analysts train custom object and change detection models on satellite/aerial/drone imagery in minutes, then reconstructs 3D terrain from those detections. We just shipped a planetary-scale simulation platform with Lockheed Martin powered by Unreal Engine.

If you want to work on distributed systems that run in a data center one day and an edge laptop the next, we have interesting problems. Our training and inference infrastructure is processing trillions of pixels and we deliver real world impact for our customers across defense, intelligence, and local governments.

Tech Stack: Python, Fast API, PyTorch, PostgreSQL, Redis, Vue.js

Infrastructure Stack: Kubernetes & Docker, Linux, AWS & Azure, Azure DevOps, Terraform, ELK, Prometheus & Grafana, ArgoCD & Helm

Roles:

Senior Software Engineer - Data Plane Team: https://jobs.eu.lever.co/blackshark/17fbf310-ea37-435f-a198-...

Software Engineer - Data Plane Team: https://jobs.eu.lever.co/blackshark/6110fedd-5cd8-40e5-ac11-...

DevSecOps Engineer - Deployment Team: https://jobs.eu.lever.co/blackshark/d425eda5-52ca-4e5c-a03d-...

Platform Engineer - Deployment Team: https://jobs.eu.lever.co/blackshark/56a85834-d986-4105-9cc8-...

or reach out to HM with questions at: 'eivanov@' + username[:-2] + '.' + username[-2:].lower()

Zūm (ridezum.com) is reinventing K-12 student transportation in the U.S. — a $30B+ industry that moves 26 million kids every school day. Our Connected Mobility Experience (CMX) platform combines modern routing, real-time tracking, and an EV fleet to give school districts a smarter, more transparent alternative to legacy transportation providers. Backed by TPG, Sequoia, and SoftBank with $430M raised at a $1.7B valuation, Zum operates in major districts including San Francisco and Oakland Unified, where they deployed the first all-electric school bus fleet in the country.

We're hiring Senior and Staff-level product-oriented backend software engineers as well as a Senior Product Manager. These are hybrid/onsite roles with an expectation of working from our amazing Redwood City HQ 3x/week.

Senior Engineer, Backend Platform: https://jobs.lever.co/ridezum/d458798c-7ab9-4979-bd5c-f79178...

Staff Engineer, Backend Platform: https://jobs.lever.co/ridezum/d02682b6-9e55-43b7-aff3-457af4...

Senior Product Manager: https://jobs.lever.co/ridezum/1c28a668-6552-4b2e-ab6c-1e9be5...

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. We're a YC '06 company — one of the oldest still around — running one of the largest Ruby on Rails sites, serving 200M+ unique visitors a month with 2M+ paying subscribers.

I'm hiring a PM to own our *AI Developer Platform* — the internal product 200+ engineers build on every day. The platform spans the full agentic stack: the tools in each engineer's hands (Claude Code), a plugin marketplace and a library of skills that extend them, an internal app platform and agent runtime that teams build on, and the evals, canonical context, and conventions that make agents reliable across a polyglot codebase (Ruby, Go, TypeScript, Python; AWS/Databricks). You'll own the product strategy for developer experience and how we measure it, partnering directly with the Developer Platform and Data Platform engineering teams who build the underlying capabilities.

We're looking for a highly technical PM — quite possibly a former engineer — who is genuinely passionate about how developer platforms are evolving in the age of AI. You've shipped real products with modern agentic primitives (agents, evals, tool use, MCP, plugins/skills), and you can hold your own with engineers in technical discussions. This is the first PM seat at Scribd pointed inward, in a brand-new domain with no playbook to inherit. Reports to me (Director, Developer Platform).

Friendly, people-first, engineering-driven culture with competitive salary, great benefits, and real work-life balance.

Apply: https://jobs.ashbyhq.com/ScribdInc/ff2680ea-9a6d-436d-bdb0-3... — or email me directly at cktaylor at scribd.com (I've hired off these threads before). Recruiters/agencies, please don't.