Job description
Matterhaul | Founding Applied AI + Founding Infrastructure Engineer | San Francisco, CA | Onsite (4x/week) | $200-260K | https://www.matterhaul.com/ Looking for opportunities to develop an AI-powered product with a practical impact? Look no further. Matterhaul is building the AI-native ERP for industrial distribution and the hard goods supply chain. In other words, we're making it much, MUCH easier for materials manufacturers and distributors to access information about their products, answer questions with confidence, and speed up time to sale. We've only been in operation for ~a year, and several early design partners have asked to invest. Now, we're in the process of hiring a pair of specialized Engineers to help us take our MVP to the next level. Interested in doing more than riding the AI hype train? Shoot me an email at amber.auslander@matterhaul.com.
✍️ Tailored application (cached — grounded in your resume)
66 / 100 honest fit
Daniel is a strong match for the infrastructure half of this pair: eight-plus years of Python/C++ backend work, AWS (Lambda, S3, DynamoDB), Jenkins CI/CD, and a habit of independently taking Flask services from idea to hardened, monitored production on a self-hosted Linux box in days — which is close to what founding engineers actually do at an MVP-stage company. On the applied-AI side, his LLM experience is real but is as a power user of agentic tooling (Claude Code) shipping ~a dozen production apps, not as an engineer building LLM/RAG systems as the product, and he has no ERP, distribution, or hard-goods supply-chain domain background. The other honest gap is location: he is Northridge, CA and this is 4x/week onsite in San Francisco, so it requires relocation.
Tailored resume highlights
- Designed, built, and operate a suite of production Flask/Python web apps on a self-hosted Linux server using LLM/agentic tooling (Claude Code) as a core part of the workflow — live public products behind Cloudflare tunnels with gunicorn, hardened endpoints, per-IP rate limiting, automated cron data pipelines, self-healing watchdogs, and real organic traffic; idea to monitored production service in days.
- Built a multi-strategy algorithmic trading platform end-to-end solo: brokerage API integration, automated backtesting, live dashboard, and reboot-safe scheduled execution — full-stack ownership from data ingestion through operations.
- Implemented AWS-based solutions (Lambda, S3, DynamoDB) supporting scalable data processing and monitoring, and built backend services and validation pipelines for connected medical devices that guarantee reliable data delivery.
- Developed Python automation frameworks integrated into Jenkins CI/CD, enabling reproducible deployments and accelerating feature delivery; expanded regression and integration pipelines that cut manual effort 40% and raised test reliability.
- Led root-cause analysis of complex field-found issues in safety-critical software — reproducing rare defects in-house and driving resolution across embedded and cloud teams, in a regulated environment where correctness is a requirement, not a goal.
"Why this company?" (draft — personalize before sending)
Two things pull me toward Matterhaul. First, agentic development is already how I work — I've built and now operate roughly a dozen production Flask services on my own Linux server using Claude Code end-to-end, idea to live traffic in days. Building an AI-native ERP is that same loop, pointed at a domain where a wrong answer costs someone real money. Second, my day job is connected medical devices, where reliability isn't a feature, it's the requirement. Distributors asking questions about their products need answers they can trust, and I've spent my career being accountable for correctness rather than demos.
Cover letter (review before sending)
Hi Amber,
I'm writing about the founding engineer roles at Matterhaul. I'm a Senior Software Engineer at Medtronic, where I build backend services, AWS data pipelines (Lambda, S3, DynamoDB), and Python automation wired into CI/CD for connected medical devices — an environment where a wrong or late answer is a real problem, not a bad demo. That's the instinct I'd bring to an ERP that has to answer product questions with confidence.
Outside of work, I design, build, and operate a suite of production Flask apps on my own Linux server, developed with Claude Code as a core part of my engineering workflow: Cloudflare tunnels, gunicorn, rate limiting, cron data pipelines, self-healing watchdogs, live traffic. Including a multi-strategy algorithmic trading platform with a brokerage API, backtesting, and scheduled execution. I go from idea to a deployed, monitored service in days — which is roughly what MVP-to-next-level demands.
I don't have distribution or hard-goods domain experience, and I'd be relocating to the Bay Area for this. I'd like to talk anyway.
Daniel Maynard
ATS keywords you have but should add
Applied AILLMAI-native product developmentagentic toolingfull-stack engineeringFlaskLinux server administrationgunicorninfrastructure / DevOpsproduction deployment and monitoringMVP / 0-to-1 developmentfounding engineer ownershipthird-party API integrationdata pipelinesstartup pace
Everything is grounded strictly in your resume — review before you submit. Nothing is auto-sent.