Activeloop, a Y Combinator-backed startup, is seeking experienced Python back-end and AI search engineers. They are building a data lake for deep learning, focusing on efficient management and access of large datasets. Ideal candidates possess strong Python skills, experience with distributed systems and cloud infrastructure, and a background in areas like search, databases, or machine learning. The company emphasizes a fast-paced, collaborative environment where engineers contribute directly to the core product and its open-source community. They offer competitive compensation, benefits, and the opportunity to work on cutting-edge technology impacting the future of AI.
Nango, a platform simplifying the development and management of product integrations, is seeking a senior full-stack engineer. The role involves building and maintaining core product features, including their SDKs and API. Ideal candidates have strong experience with TypeScript, React, Node.js, and PostgreSQL, as well as a passion for developer tools and a desire to work in a fast-paced startup environment. This remote position offers competitive salary and equity, with the opportunity to significantly impact a growing product.
Hacker News users discussed Nango's hiring post with a focus on the broad tech stack requirements. Several commenters expressed concern about the expectation for a single engineer to be proficient in frontend (React, Typescript), backend (Node.js, Python, Postgres), and DevOps (AWS, Terraform, Docker, Kubernetes). This sparked debate about the feasibility of finding such a "full-stack" engineer and whether this listing actually indicated a need for multiple specialized roles. Some speculated that Nango might be a small team with limited resources, necessitating a wider skill set per individual. Others suggested the listing could deter qualified candidates who specialize in specific areas. A few commenters also questioned the use of both Python and Node.js, wondering about the rationale behind this choice. The overall sentiment leaned towards skepticism about the practicality of the required skillset for a single role.
Frigade, a Y Combinator W23 startup building developer tools for customer onboarding, is seeking its second engineer. This full-stack role will involve significant ownership and impact, working directly with the founders on core product development. Ideal candidates have 3+ years of experience and are proficient in TypeScript, React, Node.js, and PostgreSQL. Experience with developer tools and B2B SaaS is a plus. This is a fully remote position with competitive salary and equity.
The Hacker News comments on the Frigade job posting are sparse and mostly focused on the requested skillset. Some users question the necessity of proficiency in both React and Vue.js for a single role, suggesting it might indicate a lack of focus or evolving technical direction within the company. Others express interest in the position and company mission, while a few commenters offer feedback on the job description itself, proposing ways to make it more appealing or informative. One commenter highlights the unusual use of "engineer #2" in the title, speculating about its implications for the company's structure and potential employee experience. Overall, the discussion is limited and doesn't offer substantial insights beyond surface-level observations about the job posting.
Strac, a Y Combinator-backed startup focused on endpoint security, is seeking a Senior Endpoint Security Engineer specializing in Windows. The ideal candidate possesses deep Windows internals knowledge, experience with kernel-mode programming (drivers and system services), and expertise in security concepts like code signing and exploit mitigation. This role involves developing and maintaining Strac's agent for Windows, contributing to the core security product, and collaborating with a small, highly technical team. Experience with reverse engineering and vulnerability research is a plus.
Hacker News users discussing the Strac job posting largely focused on the requested salary range ($110k - $170k) for a Senior Endpoint Security Engineer specializing in Windows. Several commenters found this range too low, particularly given the specialized skillset, experience level required (5+ years), and the current market rate for security engineers. Some suggested that Strac's YC status might be influencing their offered compensation, speculating that they're either underfunded or attempting to leverage their YC association to attract talent at a lower cost. Others debated the value of endpoint security as a focus, with some suggesting it's a niche and potentially less valuable skillset compared to other security specializations. There was also discussion around the phrasing of the job description, with some finding the wording unclear or potentially indicative of company culture.
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https://news.ycombinator.com/item?id=43473478
HN commenters discuss Activeloop's hiring post with a focus on their tech stack and the nature of the work. Some express interest in the "AI search" aspect, questioning what it entails and hoping for more details beyond generic buzzwords. Others express skepticism about using Python for performance-critical backend systems, particularly with deep learning workloads. One commenter questions the use of MongoDB, expressing concern about its suitability for AI/ML applications. A few comments mention the company's previous pivot and subsequent fundraising, speculating on its current direction and financial stability. Overall, there's a mix of curiosity and cautiousness regarding the roles and the company itself.
The Hacker News post titled "Activeloop (YC S18) Is Hiring Senior Python Back End and AI Search Engineers" linking to Activeloop's careers page sparked a small discussion thread with a few noteworthy comments.
One commenter questions the framing of "AI Search Engineers" as a distinct role, suggesting it might be a trendy buzzword conflating traditional search engineering with machine learning. They express skepticism, stating that true search expertise likely resides in individuals with a deep understanding of information retrieval and search systems, rather than specifically "AI" focused engineers. This comment implies that Activeloop might be using trendy terminology to attract talent, potentially overselling the "AI" aspect of the role.
Another commenter, seemingly familiar with Activeloop and their open-source project "Hub", focuses on the perceived complexity of the product. They find it difficult to grasp the core offering and express frustration with the documentation, suggesting it doesn't effectively communicate the value proposition. This comment points to a potential issue with Activeloop's product marketing and documentation clarity, potentially hindering wider adoption.
A third comment briefly mentions having used Activeloop's Hub and finding it helpful for managing large datasets, specifically for a machine learning project. This offers a positive counterpoint, suggesting that the product does have value for certain use cases, particularly in handling substantial data volumes. However, this positive comment lacks detail and doesn't address the concerns raised by the other commenters regarding complexity and marketing clarity.
The remaining comments are brief and less substantive, mostly offering opinions about the job market or making light-hearted remarks. Overall, the discussion thread is brief and doesn't delve deeply into the technical aspects of Activeloop's offerings or the specifics of the job postings. The most compelling comments highlight potential concerns about product complexity, marketing clarity, and the use of potentially inflated job titles.