We’re on a mission to radically transform the way we design and construct our built environment.
Backed by Lightspeed Venture Partners, Eagle acquires civil, structural, and MEP engineering firms and transforms them with applied AI. Our thesis: 85% of what engineers do is automatable, yet less than 5% has been touched by AI; the largest gap of any profession. By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States.
We're looking for founding members of technical staff. If you get excited about building from zero, get energized by direct access to users, and want to work in a problem domain that's barely been touched by AI, we'd love to talk.
Forward Deployed Engineer: https://jobs.ashbyhq.com/eagle/ddd07f46-a42a-4709-8e19-091d5...
Staff Software Engineer: https://jobs.ashbyhq.com/eagle/00b0bfbe-b174-4c5b-8d29-3aba4...
ML Engineer: https://jobs.ashbyhq.com/eagle/8e12cc76-c169-4f38-bfba-8b02f...
Design Engineer: https://jobs.ashbyhq.com/eagle/b5dd7b60-24d5-4053-a753-463cf...
I'm the hiring manager for this role, which is for an IC tech lead. Please see the full job description for details, but I'm looking for someone who is comfortable leading engineering discovery and working with Product on roadmap planning within the API payroll integrations space. The most important thing in this role will be driving your own pace and taking projects from inception to completion. A successful candidate will be good at working efficiently without many hard deadlines or micromanagement. We also want someone who has strong systems design experience and good technical leadership skills. In terms of tech stack, it's mostly Python and Typescript, including nest.js
Our interview process is pretty straightforward. There's a phone screen with our recruiter, then a culture fit/qualifying interview with my boss, a technical interview with a real-world problem (no leetcode), and finally a cross-functional team interview with myself and another engineering leader at my company. We move pretty quickly and aim to keep the process respectful of everyone's time. Happy to answer any questions here! If you'd like to apply, please email recruiting [at] vestwell [dot] com with your resume.
The Subscriptions team is looking to expand our team in the NYC office. We are a dynamic team of engineers that support all your Disney, ESPN and Hulu subscriptions at scale! We solve problems at internet-scale that only a handful of teams ever reach.
* FP Scala is our main programming language. Apply if you have FP experience - we consider other language backgrounds coming in but you will be doing FP Scala, so expect an FP style interview.
* Strong collaborator - this team is very social and we keep each other honest.
* Passion in maintaining high code quality.
* AI Enabled but not dependent.
* Our backends are global scale built on AWS and K8S.
If you are comfortable with these technologies, please apply!
https://www.disneycareers.com/en/job/new-york/senior-softwar...
Quin is an agentic platform to (finally!) solve personal finance for people. It is a consumer-focused company.
I spent 13 years in private banking and have been working on Quin alone for about 15 months. I built 6 different prototypes to test different approaches. I've spent the last few weeks working with testers on the latest version and solidifying GTM. I need someone to take over engineering with a focus on building the backend and data layers that will support our agentic approach to personal finance.
Georgetown. UCLA (MBA). Ex-JPMorgan.
Traction: Prototype with testers
The role: You're the first engineering hire. This is about shipping the workflows that will become the product that users will trust and the data layer that can support an agent in the future.
You'll own backend architecture decisions from day one. Contract-first development (TypeScript contracts repo as source of truth), FastAPI, Supabase/Postgres, Groq for LLM inference. The stack is clean and the codebase is small.
Who I'm looking for: A full-stack engineer with a preference for backend. 5+ years backend engineering; Python / FastAPI preferred. Strong data modeling instincts — you've designed schemas that had to scale. Experience with multi-tenant data architectures. Comfort operating without process. Finance domain familiarity a plus, not a requirement. Comfort and experience using AI tools and incorporating new ideas quickly.
For the right person, this is an opportunity to take a CTO/co-founder role and define the full technical path.
Comp: Salary post-raise and meaningful equity. TBH, finding this role (either version) will be important for rasisng capital given that I do not have a technical background and fintech is complicated by regulations. I'm ok with part-time in the meantime if that's what it requires.
Email quin@iamquin.ai with the primary reason this interests you and the top two reasons why you should be considered (don't worry about a resume at this point).
L2 Labs is a brand new applied AI lab building machine intelligence for data integration and interoperability. We're fast growing: we closed a pre-seed funding round, established partnerships with Cornell and NYU, and secured a large enterprise customer in less than 3 months. We are a team of hard-working researchers and engineers who are obsessive about intricate, greenfield data problems - we love whiteboarding, spinning up experiments, ordering pizza, and suddenly it’s 2am and we've actually solved something. We build impactful products + publish in A* research venues.
We are currently seeking Founding Senior SWEs, with very meaningful upside in the form of a generous equity package + working alongside skilled engineers and PhDs from top universities. To learn more/reach out, email me at andrew@l2labs.ai. We are able to sponsor international candidates.
We recently raised a $54M Series B led by Accel with participation from Kleiner Perkins, Felicis, Altos Ventures, and YC.
Permitting is a challenging yet interesting problem; thousands of municipalities across the United States have their own processes and requirements - many which are continually updating. Software, AI, and LLMs provide an exciting opportunity for us to reason at scale and distill a nuanced and localized permitting process into a standard and streamlined experience for our customers.
We're looking for customer-obsessed, ambitious, and hard-working teammates who are excited about solving a real-world problem with technology at its helm.
NYC Onsite Roles | apply at: https://jobs.ashbyhq.com/permitflow?departmentId=d33195eb-89...
1. Staff Software Engineer - $200K-275K + equity
2. Fullstack Software Engineer - $125-245K + equity
3. Senior Frontend Engineer - $125K-245K + equity
Our product helps everyone make better legal decisions by better understanding the law. About one-third of important U.S. law is not accessible via ChatGPT or Claude. Much AI-generated legal analysis is wrong. We are building one of the largest collections of U.S. law in existence and using AI to make it make sense.
We are a seed-stage start-up, still in stealth (but already with an acquisition offer!), backed by tier-1 VCs and many of the most prominent experts in legal technology. We are working with several of the best law firms in the world. We have strong customer demand and need people to help us fill it. We are committed to improving access to justice.
We are hiring a small team of extremely talented, motivated, intense, and interesting people to solve the most difficult and important problem in legal tech: high quality answers to legal questions. Expect market-leading compensation, including meaningful equity ownership. Please send your resume to contact[at]ashmere.com.
Tapitab is a stealth-mode fintech startup building a proprietary self-learning customer intelligence platform for the US hospitality industry. We are patent-pending across multiple core innovations and are moving fast toward launch.
We are looking for a Senior Software Developer to join our technical team and take full ownership of building our POS software layer — including payment integration, tab origination and settlement flows, and Android application development on a handheld payment device.
What We Need:
• 5+ years of Android development experience (Java or Kotlin) • Hands-on payment processor API integration — Stripe, Shift4, Fiserv, Worldpay, Finix, or equivalent • Deep knowledge of EMV, NFC, and contactless payment standards • Proven experience building POS software for bars, restaurants - hospitality industry • Prior work with leading POS system providers is a strong plus
Compensation: - Permanent: competitive salary + meaningful equity - Contract: competitive hourly/daily rate - Open to either arrangement depending on the candidate
This is not a general dev role. We need someone who has built payment flows before and understands the hospitality POS environment from the inside.
Referral bonus — refer someone we hire and we pay you $2,500 on their start date. No middleman.
Contact: info@tapitab.com
Piramidal is looking for senior software engineers - frontend, backend, and infra - who are excited about solving difficult problems at the boundary of foundational AI and neuroscience. We work on real-time monitoring of neurological data to help clinicians better treat their patients.
Our core backend and infra stack is Python, Go, and Terraform deployed to various cloud and on-prem, while our frontend stack is React and TypeScript. Bonus points for either: standing up and maintaining reliable streaming systems with a production/ops mindset; or building smooth, data-intensive React UIs with modern plotting/visualization libraries.
You would take an active role in architecture and design, implementation, and hiring from your early days, and will have the opportunity to have ownership commensurate to your capacity and interests.
Apply for jobs here: https://job-boards.greenhouse.io/piramidalinc
Otherling is a fashion e-commerce startup helping consumers discover emerging luxury brands. We're hiring a Senior Full-Stack Engineer to design, build, and maintain our platform end-to-end.
REQUIREMENTS - 4+ years in software development (CS degree or equivalent) - React, Next.js, Tailwind CSS - Python or Node.js - SQL/NoSQL/Postgres and data modeling - REST and/or GraphQL APIs - Docker and AWS (ECS, Cognito, S3, Lambda, RDS) - Shopify platform and API development - Plus: startup or luxury-fashion interest
APPLY Email otherling@vornoy.com, subject 'Otherling dev'. Include your resume and location (New York or Los Angeles).
Searching for full-stack engineers, FDE, MTS (Member of Technical Staff - Applied AI)
- founders: ex-D.E.Shaw/Minecraft/Snap + scaled/exited before for >$100M
- building at the app layer (not training/tuning anything)
- live V1 product with happy customers + results
- $29M raised in last 12 months (bad proxy for success, but the point is we have resources)
- building in-person in NYC (no exceptions)
Answers to a # of questions you may have are here: https://monk.com/join-us (see 3 embedded links). This might be a strong fit if you align with our values (notion doc)
Questions or interest? Good! george@monk.com
We're a fast-growing custom & private loyalty platform powering programs for household-name brands. Small, fully-remote team across the US and Europe.
We want a detail-obsessed, autonomous mid-to-senior engineer (~5–10 yrs) to investigate customer problems, drive integrations end to end, and own the specs that make them work.
You will use AI to its fullest, but will keep a very close eye on whatever that AI produces. As such, this role is less about coding, and more about figuring out what to build, how that best fits into the system, and why things are as they are, debugging edge cases, anticipating failure modes, talking to people, and plain old debugging.
Tech-wise, we're running on Golang, and using custom database engine on top of local key-value stores, colocating the storage and compute on dedicated hardware servers, and reading data directly from mmap'ed pages of the database. Ever came across HN saying that one can run Twitter on a single machine these days? We're doing that in production. Zero lines of React, few third-party dependencies carefully vetted, every line of JavaScript manually written, and we render HTML server-side like it's 2005.
You: detail-oriented to a fault, self-motivated about investigation/debugging work, comfortable spoken English for client calls, available 9am to noon in New York time.
We are straightforward, driven, personal, and a little messy. We all care, and we expect you to care too.
Details + how to apply: https://jobs.bubblehouse.com/integration-engineer/
Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management. Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.
Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.
The company is growing quickly and hiring in NYC across all teams, see list here: https://jobs.ashbyhq.com/norm-ai?utm_source=7ow8wN5o3g
At Findigs, we’re transforming the rental experience — making it fairer, stress-free, and more convenient by changing the fundamentals of renting.
We build high-scale applications that streamline renting for millions. Our modern tech stack includes Python, Typescript, Node.js, React, and scalable cloud infrastructure.
We foster a collaborative culture where engineers have high ownership and autonomy, taking features from concept to deployment.
Join our sharp, supportive, and mission-driven team in our newly renovated NoHo office.
Open roles:
Lead Software Engineer (https://jobs.lever.co/findigs/1ea92751-1c85-4eb6-84b4-86c529...)
Senior Software Engineer (https://jobs.lever.co/findigs/3b39616d-223f-4326-a500-f804c3...)
Competitive Base Salary plus Pre-IPO Equity
401k Matching up to 4%
Unlimited PTO
Lunch in office every day, home office setup stipend, monthly gym stipend
We’re building a healthier future for women and children. We combine clinical excellence, human connection, and proactive technology to ensure our patients get the care they deserve, from preconception through midlife.
- Staff Software Engineer, Patient Experience
We're looking for a Staff SWE to operate as the Tech Lead for the Patient Experience team. Front-end leading fullstack eng, some mobile experience is a nice to have.
Apply here: https://grnh.se/ws5ijibc4us
- Senior Product Security Engineer WE're looking for a Senior SWE capable of running with customer-facing product feature development, that wants to work on security features, and has amazing communication skills.
Apply here: https://grnh.se/1371qh6h4us
Roles: We're hiring engineers for in-person work over here at Yuzu's HQ in Chelsea, NYC. Primary need is for Fullstack/Product Engineers but we're also looking for a Data Engineer, a Backend Engineer and a Product Designer. Job board here - https://yuzu.health/careers You can check out our old office in our MTV cribs office tour (we just moved to a bigger space so need to do a new one) - https://www.linkedin.com/feed/update/urn:li:activity:7398820... Here's a little blog post we put out recently also: https://yuzu.health/blog/series-a
I'm Kev, the recruiting lead. Reach out to me directly if interested on kev ( at ) yuzu ( dot ) health
Viam makes robotics as programmable as software. We build a unified software layer for robotics, connected machines, and devices across hardware, cloud services, edge compute, data systems, and AI workloads. Founded by former MongoDB CTO/co-founder Eliot Horowitz. Open Source.
Staff Engineer, Fleet Management: Build cloud systems and full-stack product experiences for managing fleets of machines. Own features end-to-end across backend services, web applications, APIs, permissions/auth, and platform architecture.
Lead, Data Platform: Manage a team of 5+ engineers building full-stack systems powering how machine data is captured, moved, stored, and used across deployed fleets. Stay hands-on while shaping architecture, mentoring engineers, and driving execution.
VP / Director Engineering: Lead teams building distributed systems, developer platforms, cloud infrastructure, and software for connected devices. Shape technical direction, improve execution, and stay close to hard engineering problems.
Tech Stack: Go, TypeScript, Svelte, MongoDB, gRPC/protobuf, Linux
Apply: https://grnh.se/g482kvei4us Questions: amanda@viam.com
The world doesn't need another ERP. CoPlane is building the Agentic Orchestration platform that enables enterprises to orchestrate intelligent processes across their existing systems. Founded by ex-Stripe/Segment product and tech leads, we're changing how businesses operate their backoffice - helping them scale intelligence not headcount.
We're looking for an exceptional product engineer to grow our small team of engineers that include ex-founders, open source contributors (authors of neovim and neverthrow), and architects of petabyte-scale data platforms.
We are looking for someone that wants to own product features end to end (Python + Typescript/React) but is particularly spiky on frontend and UI. You'll build a platform for billion-dollar enterprises solving their hardest, most mission-critical automation problems.
If you're excited about working at the nexus of data, automation and AI, and want to make a significant impact in an early, well-capitalized startup with large enterprise design partners, we'd love to hear from you.
Roles: Product Engineer.
For more info and to apply: https://coplane.com/careers
Pascal’s mission is to deliver AI-native systems to the offline economy, starting with the consumer packaged goods (CPG) sector. We are reinventing how they operate, building the foundational layer for decisions across finance, sales, and operations teams.
We are ex-MIT founders who have built at startups that have grown from six to nine figures in revenue. We are well-funded from investors and angels of category-defining businesses (Decagon, Cognition, etc.) and hiring our initial founding engineering team!
At Factory we build Droids, autonomous software development agents that review PRs, implement features, run tests, fix incidents, and handle migrations for enterprise engineering teams. Droid is model agnostic and surface agnostic, and works across your CLI, IDE, Web/Desktop app, CI/CD, Slack, and Linear. Customers include Nvidia, Adobe, Adyen, Klarna, and Ernst & Young.
We raised a $150M Series C at a $1.5B valuation, backed by Khosla Ventures, Sequoia, Blackstone, Insight Partners, NEA, and NVIDIA.
We're hiring across the stack:
- AI Engineer: agentic systems, LLM integrations, evals
- Fullstack Engineer: platform, APIs, auth, billing, terminal UIs
- Frontend Engineer: web and desktop apps (React, TypeScript, Electron)
- Platform Engineer: infrastructure, sandboxing, CI/CD, cloud
- Product Engineer: end-to-end feature ownership
- Data Engineer: pipelines, analytics, telemetry at scale
- Security Engineer / Research Engineer
Stack: TypeScript, React, Node.js/Bun, Python, GCP/AWS, Firestore, Electron.
We're also hiring in these roles: Enterprise & Mid-Market AEs, Solutions Engineers, Forward Deployed Engineers, Product Marketing, Product Manager, Product Designer, Partnerships, and Operations (RevOps, BizOps, People Ops, Recruiting). Some roles available in NYC and London.
In-office 5 days a week in SF (walking distance to Caltrain). Catered lunch and dinner, full medical/dental/vision, 401(k).
If you have strong opinions about how AI should actually work for production engineering systems at enterprise scale: we want to talk.
Apply: https://factory.ai/careers
We're helping non technical users adopt AI by making usage visible. Power users become role models and people can upskill to gain value rather than lose their jobs to AI.
It's a complex problem because we need to balance trivial UX, with a slew of security and compliance requirements.
This is the first non founder developer role on the z0.ai codebase. We need someone who can own the full stack end to end: product surfaces people enjoy using, services that stay correct, and the taste to make both feel like one product.
We're funded and are live with our first customer already. We expect to onboard our next customer later this week and are actively ramping up sales efforts.
Check out the full job posting at https://www.z0.ai/careers/founding-engineer/ and send an email to join@z0.ai
We are Nof1, an AI research lab applying AI to trading and forecasting. We recently closed a $15M funding round and are looking for senior engineers and researchers excited about building agentic systems for financial markets.
Some of the work we're doing:
* Agentic research systems (including Alpha Arena) * Market, alternative, and real-time data pipelines * Backtesting and simulation frameworks * Multi-agent systems and forecasting infrastructure
We hire for capability over specific technologies. Our stack includes Python, React, Firestore, Postgres, and AWS.
We're generally looking for engineers and researchers with 5-7+ years of experience in agentic systems, large-scale data infrastructure, quantitative trading, machine learning, or consumer products.
Email: recruiting [at] thenof1.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
Runway is building AI to simulate the world — merging art and science. We're a team of researchers, engineers, artists, and designers shipping the models and infrastructure behind a new generation of creative tools.
We're hiring across a lot of teams right now (engineering, research, product, design — see the full list below), but a few we'd especially love to talk to you about:
- Engineering Manager, API — https://jobs.ashbyhq.com/runway-ml/b5d136bb-4143-400b-914a-0ae7377ad8ed - MTS, Backend Engineer, API — https://jobs.ashbyhq.com/runway-ml/8489a08a-f0cf-4418-968c-c7c803d538bc - MTS, Research Engineer — https://jobs.ashbyhq.com/runway-ml/98e4b160-3bbe-4acd-b106-ad75ccc49675 Remote-friendly globally, with offices in NYC, SF, Seattle, London, Tel Aviv, and Tokyo. Full benefits (100% medical/dental/vision for US employees, unlimited PTO, parental leave, learning stipend).Full list of open roles: https://runwayml.com/careers
Hey HN! I'm Alexander, one of the founders of Hatchet. Hatchet is an open-source platform for running background jobs at scale.
We're hiring engineers who are excited to build the next class of engineering primitives, starting with queues, background tasks and durable execution. We started in early 2024 after launching our distributed task queue (https://news.ycombinator.com/item?id=39643136).
Hatchet is currently used by thousands of engineers for all kinds of workloads: log ingestion pipelines, code review agents, video encoding, GPU scheduling, etc. Our target customer is fast-growing startups who have a strong need for background jobs system. These days, that tends to be AI companies, though we're general-purpose and not exclusively targeted for AI workloads.
Stack: Postgres, Go, Typescript, React, Kubernetes
Applying: email me at alexander@hatchet.run and tell me about something impressive you've built, along with your CV and why you're interested in Hatchet.
Note that we're fully open-source, which you can check out here: https://github.com/hatchet-dev/hatchet (and if you have thoughts / opinions / questions about the codebase, please include those in your note!)
Trayd is building the operating system for construction payroll and back office. We make payroll fast and compliant for workers and subcontractors in a massive industry that still runs on spreadsheets and outdated systems. YC-backed and growing quickly with real customers and weekly payroll in production.
Apply here: https://www.ycombinator.com/companies/trayd/jobs/1Ez3l4b-sen...
AI data centers are creating a massive new wave of electricity demand, and the grid is already stretched. Strobe is building an autonomous power company to help meet that demand: software that turns buildings, batteries, EVs, and generators into a distributed power plant that can buy, sell, and dispatch electricity in real time.
We’re a 6-person, well-funded team backed by top investors. This is early, high-ownership, and very real-world: the software you build will control physical assets and move money in energy markets. We are the only company actively trading distributed power in New York - the space is entirely new and unlocked by recent FERC regulation.
I’m looking for a staff engineer to own the data integrations and cloud infrastructure that make the whole system work. That means connecting to utilities, grid operators, OEM hardware, weather providers, and our optimization engine — then making sure it all runs reliably when market events are happening and dollars are on the line.
You’d work on things like:
* Wholesale market integrations with NYISO, CAISO, ERCOT: pricing, capacity markets, dispatch signals * OEM hardware integrations for monitoring, control, and telemetry * Utility data pipelines, including Green Button Connect / ESPI, interval usage, billing, and meter data from utilities like ConEd, PG&E, and SCE * Weather forecast pipelines feeding our scheduling engine * Event-driven AWS infrastructure using Lambda, API Gateway, AppSync/GraphQL, EventBridge, IoT Core, Timestream, Amplify, and CloudWatch * Terraform IaC, observability, alerting, and the reliability work needed when downtime has real financial consequences
Good fit if you have deep AWS experience, have used Terraform seriously in production, and write a lot of Python. Energy experience is a plus, but not required. Experience with utilities, government APIs, OEMs, hardware, telemetry, or other “real world is messy” systems is very relevant.
Stack: Python, TypeScript, Rust, Terraform, AWS, GraphQL/AppSync, MQTT, Grafana. We use an AI-agent-optimized monorepo and are investing heavily in agent-enabled engineering efficiency.
Small team, no layers, high trust.
Apply: keeley@strobepower.com or https://strobepower.com/careers. Please mention Hacker News.
Odyssey is building the leading financial technology platform for school choice. We help families access funding for tuition, tutors, curriculum, software, and enrichment programs—empowering them with greater educational opportunities.
We’re well-funded, backed by top investors including Andreessen Horowitz (a16z), and we are rapidly scaling.
As Odyssey's first Security Engineer, you'll have full ownership of our security posture — shaping strategy, building programs from the ground up, and driving best practices across our entire technology stack and product suite. This is a high-impact, high-visibility role where your decisions will directly influence how we protect our customers, vendors, and employees.
You'll partner closely with cross-functional teams to embed security into everything we build and ship, champion solutions to emerging security challenges, and ensure we stay ahead of an evolving threat landscape. You're someone who embraces AI tools to work smarter — whether that's accelerating threat detection, streamlining vulnerability analysis, or improving how we respond to incidents.
Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to design and build step-function improvements over existing blockchain solutions. After raising $225M in series A funding, led by Paradigm, we are growing our team.
Senior Software Engineer, Compiler: https://jobs.ashbyhq.com/category-labs/e5c34899-cea1-4d25-be...
CLEAR is building the secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.
If interested, apply here --> https://grnh.se/e4e5dc881us
We're a 6 person team in person in New York City, raised $2.7M, have >5 years of runway, and are growing faster than we ever have.
You'll build a well-crafted product, and work on challenging problems at intersection of AI, construction (mapping), and fintech.
Apply here: https://www.ycombinator.com/companies/clad/jobs/YHGyRSf-seni...
Or email me at jason [at] withclad [dot] com
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.
Deep learning transformed text and images but mostly skipped tables, even though they're behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer. We're building the foundation-model approach for tabular data. We started with TabPFN. v2 was published in Nature and set a new state of the art on tabular benchmarks; since release we've scaled capabilities ~20x and crossed 3M+ downloads and 6k+ GitHub stars. The hard problems are still open: scaling to millions of rows, low-latency inference, new data modalities, and the infrastructure to run all of it in production.
Open roles: - Senior ML Infrastructure Engineer - own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. We spend tens of millions/year on compute; you own that budget. Train your own architecture if you've got one. - ML Engineer, Cloud Platform - design and scale the backend and infra that serve and finetune the models. Python/FastAPI, Terraform, K8s. - Full Stack Engineer, ML Platform - build the product end to end, data upload through inference. TS + Python, React/FastAPI/Postgres. - Research Scientist, Foundation Model - drive the model agenda: novel architectures, scaling 10K to 1M+ samples, multimodal and causal directions. PhD + top-venue publications or equivalent.
Also hiring: Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.
30-person team with backgrounds from Google, G-Research, Jane Street, Goldman, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.
All roles: https://priorlabs.ai/careers
At Guac, we’re building the first agentic AI platform for grocery. Today, we work with enterprise supermarket chains to forecast demand and help them optimize their inventory operations.
We’ve scaled to 7 figures ARR, and we’ve raised $7.2M from YC, Collab Fund, 1984. We're looking for talented engineers in NYC to join our mission: to solve grocery food waste and tackle food insecurity with technology.
Key technologies: Python, FastAPI, Dagster, Dagster, Dask, React, Next.js, TypeScript
More details/application:
Backend: https://www.linkedin.com/jobs/view/4414605553/ Fullstack: https://www.linkedin.com/jobs/view/4414608482/ Or email us directly: jack@guac-ai.com
- Radar is the geo-location dev tool
- Doing 1B+ API calls per day
- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).
- We're based in NYC with our HQ in Union Square and remote friendly (US)
Interesting things we're working on:
- HorizonDB, our Geospatial database written in Rust
- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.
- Anomaly detection to identify spoofed locations
- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time
- Multi-Region AWS K8s deployment, 99.99%+ availability
- Frontend tools to visualize and debug location data at scale
Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com
Sony Music Entertainment is one of the world's leading music companies, home to artists, labels, and the technology that powers them. We're hiring across engineering and product.
- Software Engineer, D2C (London): https://careers.sonymusic.com/jobs/8336599002
- Senior Software Engineer, D2C (London): https://careers.sonymusic.com/jobs/8344246002
- Senior Product Manager, D2C (New York): https://careers.sonymusic.com/jobs/8447185002
- Engineering Manager, Pub Admin (London): https://careers.sonymusic.com/jobs/8400756002
- VP of Engineering, Content (London): https://careers.sonymusic.com/jobs/8536490002
We're also hiring more Engineering Managers and Software Engineers (including Principal and Lead roles) in London, New York, and Tallinn.
For the details: https://careers.sonymusic.com/jobs
I’m an Engineering Manager in Security at Chime, and we’re actively hiring for three roles on our broader Product Security org:
Senior Application Security Engineer: https://careers.chime.com/jobs/8373535002/senior-application...
Product Security Engineer: https://careers.chime.com/jobs/8141068002/product-security-e...
Manager - Product Security: https://careers.chime.com/jobs/8526680002/manager-product-se...
Chime is a financial technology company focused on helping everyday Americans unlock financial progress. We built Chime on the premise that core banking services should be helpful, easy, and free, and our security teams play a direct role in protecting the products and infrastructure that members rely on.
Our Product Security org works across application and infrastructure security, security design and architecture reviews, and vulnerability management. We partner closely with engineering teams to identify, prioritize, and remediate risk early, with an emphasis on making security practical, embedded in everyday development, and useful to the teams building Chime’s products. If you’re excited about being on the front lines of securing both AI and financial technology, this is a particularly interesting place to do that work. We currently have Senior Application Security Engineer, Product Security Engineer, and Manager - Product Security open.
If none of those are quite the right fit, feel free to apply anyway! We expect to open more security roles in the near future across a range of experience levels and specializations.
Datadog is a monitoring, tracing, logs system, and more, for your infrastructure and services. We build our own tsdb, event store [1][2], distributed tracing tools, cutting edge visualizations, and more. We love shipping great experiences for customers just like us and are growing fast! We write a lot of Go, Java, Python, Typescript (with React), and a bit of other languages. We run on k8s, and are multi-region and multi-cloud.
We're looking for people who can build systems at scale as we process trillions of events per day. Let us know if that's you!
[1] https://www.datadoghq.com/blog/engineering/introducing-husky
[2] https://www.datadoghq.com/blog/engineering/husky-deep-dive
[Leadership] Engineering Manager, Platform (SF, NYC) https://grnh.se/gwrtizx95us
Staff SWE, Product Security (SF / NYC) https://grnh.se/b2kbmt3j5us
Staff SWE, AI (SF) https://grnh.se/cq0caps45us
Sr SWE (SF, NYC, DC) https://grnh.se/gwf63pot5us
Sr SWE, Data Governance (SF) https://grnh.se/ue4zfbjo5us
Sr SWE, Data Infrastructure (SF, NYC, DC) https://grnh.se/bq138yn05us
Sr Product Designer (SF / NYC) https://grnh.se/s96svypy5us
Sr Design Engineer (SF) https://grnh.se/z8ev1cgu5us
Work authorization: must be authorized to work in the U.S.; we are not able to sponsor visas at this time.
Evertune builds AI-native software for enterprise marketing teams, spanning GEO (generative engine optimization) products for AI search / answer engines and AI advertising products, including new ways for brands to reach customers in AI-native surfaces. We're backed by Eniac and Felicis, and founded by people who helped scale The Trade Desk.
Roles:
* NYC only: Tech Lead Full Stack, Product Manager GEO, Product Designer
* NYC or Seattle: Senior+ Full Stack Engineer, Senior+ Backend Engineer, Senior+ Backend Infra Engineer
Offices: NYC Flatiron, Seattle U District
Comp: Eng $150k - $250k + equity; Designer up to $160k + equity; PM up to $180k + equity.
Apply: casey@evertune.ai or https://www.evertune.ai/about-us/careers
Please mention Hacker News.
LLMs hallucinate, so they can't be the thing producing your numbers. In Kepler, the LLM orchestrates (decides what data to gather, what to compute, how to structure the output), but the model never touches the data itself. Every actual value flows through deterministic code pipelines with provenance metadata back to source. Verification loops cross-check outputs before users see them.
We started in finance because tolerance for wrong answers is zero. First product is a research platform for buy-side analysts: pull comparables, build models, research filings. Same architecture extends to chemicals, legal, healthcare. Models are commoditizing fast; the trust layer is what's missing.
If you want the deeper architecture writeup, Anthropic just published a case study on Kepler: https://claude.com/blog/how-kepler-built-verifiable-ai-for-f...
What you'd build:
- Source-explorer UI that traces any value back to its exact origin in the original document - Extraction pipeline for a data source we don't yet handle, with provenance and verification from day one - Agent orchestrator that handles partial failures so a bad extraction from one source doesn't block parallel work - Verification rules that cross-check values across multiple sources and surface conflicts with provenance on both sides
Stack: Rust backend (orchestration, extraction, computation), TypeScript/React frontend, PostgreSQL, AWS. Model-agnostic, currently Claude + GPT. We don't require Rust experience; we hire on fundamentals.
Looking for 5 years production experience, strong in TypeScript/React, comfortable in backend work. Bonus if you've built systems where correctness mattered (payments, data infra, healthcare, anything where a wrong output has consequences). Distributed systems basics: concurrency, fault tolerance, retries, idempotency.
Founding team is 40+ combined years at Palantir building Foundry's core systems (Ontology, Fusion, Workshop, FoundryML). CEO scaled a data company to $15M ARR, sold it, then ran Business Engineering at Citadel. Backed by founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs.
In-office NYC.
Apply: https://jobs.ashbyhq.com/kepler-ai/52624a4e-33e3-4f16-8028-0..., or email me: eddie.hammond@kepler.ai
If you or a loved one has ever suffered from confusing/egregious medical bills or insurance communications, this is your chance to give the power back to others in a similar situation.
Our mission is to demystify health insurance, healthcare and medical billing. By utilizing cutting-edge technology and advanced data analytics, we deliver personalized recommendations on how to save money, maximize use of plan benefits, stay on top of reimbursements and avoid erroneous or inflated medical bills.
Currently open roles:
- Strategy & Operations Manager (https://jobs.ashbyhq.com/sheerhealth/3354321f-78f4-414a-adbe...)
- Automation Engineer (https://jobs.ashbyhq.com/sheerhealth/ccd28cff-eac8-4970-beb4...)
- Backend Engineer (https://jobs.ashbyhq.com/sheerhealth/c3b52430-2060-4fac-bcab...)
- Infrastructure Engineer (https://jobs.ashbyhq.com/sheerhealth/fa3235eb-6503-4f5e-83f1...)
We are looking for experienced Site Reliability Engineers and Infrastructure Software Engineers to help build, scale, and secure the foundation of MongoDB Atlas, our globally distributed, multi-cloud database platform running across AWS, GCP, and Azure.
SRE at MongoDB is a builder role. We are heavily focused on making the platform more scalable, resilient, secure and self-service.
We have open roles (Senior, Staff, Lead) across several of our core Infrastructure teams:
- Infrastructure Security (InfraSec): Building infrastructure security controls and security observability tooling leveraging eBPF and Linux security mechanisms.
- Fabric: Building out service mesh, networking, and internal traffic routing.
- Storage Layer Services: Building our next-generation disaggregated storage architectures.
- Fleet Management & Deployments: Automating the lifecycle, deployments, and control planes of massive multi-cloud Kubernetes clusters.
- Atlas Infrastructure: Building core infrastructure operations on hundreds of thousands of Linux servers.
You could be a fit if:
- 5+ years of experience in SWE, SRE, or similar roles.
- Proficiency in at least one programming language: Golang, Rust, Python, C/C++ etc.
- Deep understanding of Linux internals, networking, distributed systems, and/or Kubernetes.
- Familiarity with at least one major cloud provider (AWS, GCP, or Azure).
- A builder's mentality: you think about failure modes, observability, and operability alongside correctness.
For any questions, or to apply directly (please mention HN) email: hani.benhabiles+hn@mongodb.com
[starbridge.ai](https://www.google.com/url?q=http://starbridge.ai&sa=D&sourc...)
Starbridge is building an AI platform that turns large-scale public and enterprise data into reliable sales insights. We are early, moving fast, and building from zero to one, so this role will have huge ownership and product impact.
Product Engineer: (React/Typescript) who would work closely with product and design to build user-facing parts of the platform. You will craft performant, stable frontends that explain technical concepts to non-technical users and help us iterate fast based on customer feedback.
AI Engineer: Applied AI plus strong software engineering. You will build, evaluate, and deploy LLM-driven features like deep document analysis and interactive chat, working with models from OpenAI, Anthropic, and Gemini. Expect hands-on Python, ML system design, experimentation, and production reliability. Bonus for RAG depth and frameworks like LangChain, LlamaIndex, or Hugging Face.
Backend Engineer: (looking for Kotlin/Java/Scala experience). You'll work across the backend: building enterprise integrations, large-scale scraping and parsing pipelines, and systems that let users apply LLMs to millions of documents to generate insights at scale.
We're looking to build our in-person team in NYC but also open to remote!
Apply: [https://starbridge.ai/careers](https://www.google.com/url?q=https://starbridge.ai/careers&s...) and mention HackerNews or email [recruiting@starbridge.ai](mailto:recruiting@starbridge.ai) with your resume.