Maven is the missing grad school for technology jobs. We have the largest collection of expert-led cohort-based-courses on the topics that matter most for today's careers.
We’re looking for full-stack product engineers to own big parts of our fast growing marketplace, from recommendation systems to data infrastructure to the course experience at the center of it.
The ideal candidate has shipped meaningful features to a real user base and is comfortable with the broad set of concerns that come with building production web apps.
You will have a high degree of ownership over our technical systems, and because we believe in giving people as much responsibility as they want, you will also be able to shape our product direction and the evolution of your own role.
We are a team of just under 20, have raised $25 million from a16z and First Round, and are growing towards profitability in the coming year and half.
We use React+Nextjs, Python+FastAPI, Postgres+OpenSearch, OpenAI, dbt+Snowflake.
Maven is the best way to teach and learn critical career skills after college, with the largest marketplace of expert-led tech and business cohort-based courses.
We're 15 people, have raised $25 million, are earning revenue, fully remote but tight knit, very experienced, and building a new way to learn that students and instructors love.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
Maven is the best way to teach and learn critical career skills after college, through the largest marketplace of expert-led tech and business cohort-based courses.
We're 15 people, have raised $25 million, are earning revenue, fully remote but tight knit, very experienced, and building a new way to learn that we're very proud of.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
About us: building the university of the future, starting with the largest marketplace of expert-led cohort-based-courses on the Internet.
We're a 5 person eng team and a 15 person team led by the founders of Udemy, Venmo, Socratic. Raised $25 million from a16z and First Round in 2021, have 3+ years of runway, and are hitting our best months every month.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
About us: building the university of the future, starting with the largest marketplace of expert-led cohort-based-courses on the Internet.
We're a 5 person eng team and a 15 person team led by the founders of Udemy, Venmo, Socratic. Raised $25 million from a16z and First Round in 2021, have 3+ years of runway, and are hitting our best months every month.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
+1, I've been using OpenSearch (basically Elasticsearch 7.0), and have been pretty happy with the setup so far.
OpenSearch specifically has an edge over Elasticsearch because it supports vectors up to 10k dimensions, whereas ES maxes out at indexing 1024 dimensions, which isn't enough to support OpenAI's 1536 dimension vectors.
And then there's the benefit of it being well documented / Q&A'd, and able to support regular searching, faceting, etc. as well.
Also if you want to do hybrid retrieval with legacy system in place elasticsearch is a good option. I would like to see some comparison for the hybrid retrieval as well.
You aren't supposed to index vectors larger than ~128 dimensions. Because of concentration of measure which is an aspect of the curse of dimensionality the distances between high-dimensional vectors tend to become identical.
You need to do dimensionality reduction before indexing. Basically it's fine to just pick n first components if you don't want anything fancy.
Maven is building the university of the future - empowering the world’s creators to offer cohort-based courses directly to their audiences. Courses on Maven have community at their core, focus on active learning, and are available anywhere in the world.
Our team has raised $25 million from incredible investors including Andreessen Horowitz, First Round, Naval, and Arlan Hamilton, and we've launched sold-out courses with instructors like Li Jin, Anthony Pompliano, Lenny Rachitsky, and Sahil Lavingia.
We're the leading player in a massive and growing market, but are still early enough for you to make a big impact. Join us!
Maven | Full-stack, Front-end Engineers | Remote (US timezones) | Full time | $120-$170k + equity | https://maven.com
Maven helps anyone build a cohort-based course and deliver an incredible student experience at scale.
Unlike small workshops or on-demand online classes, we integrate both live and asynchronous components to engage students without needing to scale up instructor time or support staff.
Our mission is to democratize education through online cohort-based courses. Right now, many experts and creators don't have the team, budget, or bandwidth to create a high quality cohort-based course. Inspired by the simplicity and power of tools like Shopify and Substack, we are building a platform that enables the best instructors to build the most engaging courses.
Our team of 12 has built and run educational experiences at Udemy, AltMBA, Minerva, Google, General Assembly, Socratic, and Shopify. We're backed by Andreessen Horowitz, First Round Capital, Naval Ravikant, Arlan Hamilton, and many more. We've launched sold-out courses for incredible instructors like Li Jin, Anthony Pompliano, Lenny Rachitsky, Sahil Lavingia, and more.
We're looking for our 2nd designer, and 6th and 7th engineers whose work will span across our system and will have a big impact on our product. We're experienced, ambitious, and supportive. We work with React/Typescript/Next.js, Python/FastAPI, AWS/ECS/RDS.
Maven is the missing grad school for technology jobs. We have the largest collection of expert-led cohort-based-courses on the topics that matter most for today's careers.
We’re looking for full-stack product engineers to own big parts of our fast growing marketplace, from recommendation systems to data infrastructure to the course experience at the center of it.
The ideal candidate has shipped meaningful features to a real user base and is comfortable with the broad set of concerns that come with building production web apps.
You will have a high degree of ownership over our technical systems, and because we believe in giving people as much responsibility as they want, you will also be able to shape our product direction and the evolution of your own role.
We are a team of just under 20, have raised $25 million from a16z and First Round, and are growing towards profitability in the coming year and half.
We use React+Nextjs, Python+FastAPI, Postgres+OpenSearch, OpenAI, dbt+Snowflake.
Read more and apply at https://maven.com/s/eng-jd