Our mission is to build intelligence that helps B2B sales teams win deals. Our first product is a suite of AI agents for sales teams that helps create winning proposals and RFP responses for $1.4 Trillion dollar industry.
Our founding team is from Google Deepmind, Stanford, UC Berkeley, and IIT. We were part of Y-Combinator S2023.
JD | Apply: https://inventiv.notion.site/Senior-Full-Stack-Product-Engin...
Website: https://inventive.ai
CivAI is a non-profit that educates policymakers and the public about AI risks using live software demonstrations. As a software engineer, you will be responsible for conceiving of, and building end-to-end, the software demonstrations that are the core of what we do. These will explain both prosaic AI capabilities and more nascent ones that are fast approaching.
- Stack: SvelteKit, Python
- Salary: $125-200k
Copper Home (fka Channing Street Copper) builds battery-integrated induction appliances for home electrification — we're making decarbonization accessible by putting energy storage inside everyday products, starting with the stove.
The firmware team is small and owns application firmware, device connectivity, automated testing, manufacturing tools, and an MQTT backend for OTA updates and fleet telemetry.
We're hiring a staff embedded systems engineer focused core firmware architecture on the Charlie induction range.
In this role, you may:
- Own major pieces of our embedded platform and prototypes of future products.
- Lead improvements to device connectivity (Wi-Fi, BLE, OTA, provisioning, failure recovery) and energy management.
- Evolve fleet management, telemetry, and remote management/update systems with a focus on robustness and cost efficiency at scale.
- Mentor engineers through design reviews and day-to-day technical collaboration.
Tech stack: C and Python; FreeRTOS on ESP-IDF; 802.11, BLE, CAN; MQTT; AWS
Salary: $182k–$210k + equity
Questions? Send me an email (<username>@copperhome.com) or reply here.
More details and apply: https://copperhome.com/pages/jobs?gh_jid=4119303007
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PrairieLearn (https://www.prairielearn.com) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams.
We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one.
Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: https://github.com/PrairieLearn/PrairieLearn
Details:
- Location: Remote (US only)
- Salary: $100k-$140k depending on experience
- Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours
- Role: Full-time. (We’re not able to sponsor visas at this time.)
Apply at https://www.prairielearn.com/jobs-ashby?utm_source=YeEJ5MAKk...