ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse.
What we are looking for:
Distributed Systems / Cloud Engineers to build
- AutoScaling Systems for a Cloud Database - A Distributed Caching Layer on top of S3 [0] If you have experience in productionizing and maintaining distributed systems cloud-based multi-tenant caches - you would fit right in.We also maintain our own ClickHouse based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past.
Can work in a fast moving scale-up environment. Proactive and hands on. You must be independent and self-organized. Database SRE / Cache Operations experience Go, Kubernetes, Distributed Systems in general You will need to be able to do On-Call - debugging production infra, db or cache issues Low-level database programming (C++, ClickHouse) - This is crucial for the cache. If you want to work on operating production critical databases/caches in the cloud on or write data-driven algorithms for autoscaling, consider applying! Send me an email: manish.gill [at] clickhouse [dot] com[0] https://clickhouse.com/blog/building-a-distributed-cache-for...
We're an AI agent that automates pricing and promotions for short-term rental operators on Booking.com and Airbnb. Bootstrapped to real revenue, recently funded, small team.
Pitch: we sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties.
Our agent is rules-based where it should be data-driven. You'd be the founding ML/data hire fixing exactly that.
You're a fit if you:
* Ship clean production Python in a Django codebase, not just notebooks
* Think in experiments and know correlation from causation (time series a plus)
* Use frontier AI coding tools/agents to ship fast
* Have startup experience and thrive in ambiguity
Stack: Python, pandas, scikit-learn, PostgreSQL, ClickHouse, Django, time series, causal inference, AI agents.
Email me at martin@mydatavalue.com.
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 or SF 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.
Please mention how you have used Modal or similar tools in the past and link to a recent resume. Resumes and emails that are clearly human-written will go to the front of the line. I wrote this by hand, so can you. Or can you?
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
Hey everyone! We're staffing up our AI control plane product to meet market demand. Come join a team in San Francisco or London focused on building core infrastructure to help companies securely scale agent use. Think security engineering, observability built on clickhouse, MCP oauth and protocol work, building out our serverless backend and headless experiences. Our team cares deeply about craft and quality and has a track record building highly used developer tools. Team is around 30 and growing!
Our technical blog: https://www.speakeasy.com/blog
Open roles: https://www.speakeasy.com/careers#open-roles
or email me at sagar@speakeasy.com (ceo and co founder)
Lantern is building AI-powered revenue intelligence—autonomous agents that turn cold outreach into warm conversations. We detect buying signals across your tech stack, prioritize opportunities, and help B2B sales teams focus on deals that actually close. We're early, agentic-first, and moving fast.
Senior Software Engineer: You'll own complex technical problems end-to-end—translating customer needs into scalable architecture, optimizing AI model efficiency through prompt engineering, and shipping features that directly impact how revenue teams operate. We want bold ideas and people who push boundaries.
Junior Software Engineer: You'll work across our stack (Python, FastAPI, Next.js, React) alongside senior engineers, contributing to real features from day one. Great fit if you're hungry to learn, ship fast, and grow with a startup building cutting-edge agentic systems.
New Grad Software Engineer: Entry point for recent grads excited about AI and agentic systems.
You'll get hands-on experience with our modern data stack (Postgres, ElasticSearch, ClickHouse, DuckDB), Kubernetes/AWS deployment, and Temporal.io, pi.dev, context engineering, workflow orchestration while shipping production code.
This role is based in our Manhattan office (4 days/week in-person). Full health and dental coverage.
Apply: https://forms.gle/kEi5MDDiaJKdyN3fA or email maksym at withlantern.com with your resume.
* 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: product engineers, clickhouse operations engineer, backend engineers, technical customer success managers, technical account managers, developer marketers, forward deployed engineers and onboarding engineers.