--- title: 'Founding Engineer, Backend at Falconer' canonical: 'https://feeny.ai/job/founding-engineer-backend-falconer-san-francisco-150wdzx5jpae' type: 'job' last_seen: '2026-09-13' --- # Founding Engineer, Backend at Falconer - **Company:** Falconer - **Location:** San Francisco, CA - **Compensation:** $150k–$250k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-04-14 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.ashbyhq.com/falconer/cf424d45-bc08-4036-be3d-c14e633ce1e1 ## Job description At Falconer, we’re transforming how engineers create, access, and share knowledge with each other and their AI agents. We’re looking for a Founding Backend Engineer to help us build an AI-powered knowledge platform that companies love. As a founding engineer, you'll have a major impact on our product development, technical direction, and culture. Key responsibilities: - Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying - Research and apply best practices in terms of infra, deployment, and containerization of our products and ML stack - Develop and maintain backend systems including API services, databases, and server-side logic - Optimize applications for maximum speed and scalability - Write clean, efficient, and well-documented code, following industry best practices—the Falconer platform will help you! - Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices Who you are: - Degree in Computer Science, Engineering or a related field, or equivalent work experience - Minimum of 5 years of experience in developing APIs or backend systems in different languages (we'll gravitate towards Python and Node.js) - You can evaluate trade-offs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs) - You have experience with event queues such as Kafka or RabbitMQ - You make containers look simple, and are the go-to person to discuss Docker or Kubernetes - You can make anything run in AWS or Google Cloud - You enjoy hard problems and open-ended assignments - You use data to make decisions, and experiment your way around hard problems Bonus points: - You've developed products with LLMs before (extra if you've already built your own agents) - You're familiar with vector databases and similarity search Perks and benefits: - Generous equity package - Competitive salary and benefits - 401(k) retirement account - The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fast - Flexible work arrangements with in-office work or hybrid work for the right candidate - Our office is in San Francisco, just steps from Caltrain At Falconer, we value diversity and equal opportunities. We welcome applicants from all backgrounds and are committed to creating an inclusive workplace. If you are passionate about technology and thrive in a challenging environment, come join our team and help us shape the future of work communication. ## About Falconer ## Company Overview - **One-liner**: Falconer provides an AI-powered knowledge management platform that acts as a self-updating "company brain" for high-speed engineering teams to create, find, and maintain trustworthy knowledge. - **Entity Type**: Private (Unfunded / Bootstrapped) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 (per Tracxn) or 2025 (per Built In/LinkedIn) - **Founders**: David Nunez (CEO) and Maximiliano Benedetto (Co-Founder) ## Core Business - Primary industry: Technology, Information and Internet / AI-powered Knowledge Management - Target customers: B2B, specifically engineering teams and high-speed product teams who want to scale their organizational knowledge and supercharge AI coding agents - Mission statement: "The source of truth for high-speed teams" — creating a unified, self-maintaining memory bank for tribal knowledge, docs, and code. ## Products & Services - **Falconer Platform**: An AI-powered knowledge management SaaS platform that integrates with GitHub, Slack, and Linear. It automatically updates documentation when PRs merge, generates docs from legacy code, personalizes agent responses, and provides a searchable system of record for documents, code files, and answers. - **Falconer Knowledge Health**: A feature that monitors the accuracy and freshness of the context provided to AI agents, reducing token waste and errors. - **Falconer Generate**: A feature for creating customizable and editable documentation on demand, designed to keep engineers in flow. ## Market Standing - **Valuation/Market Cap**: Not disclosed (company is unfunded). - **Key Metric**: Total funding is $0 (bootstrapped). Employee count is 11-12 as of mid-2026. - **Notable Investors/Partners**: No institutional investors. Competitors include Glean, ClickUp, and Bloomfire. This is a competitive space, but Falconer is carving out a focus on "engineering teams" and "coding agents." - **Growth Signals**: - Workforce grew 300% YoY (from ~3 to ~11-12 employees between 2025 and mid-2026). - Monthly employee growth was +9.1% in recent months. - LinkedIn followers: 1,824, growing at 2.4% monthly. - Aggressive feature shipping cadence (new features like auto-updating docs, agent personalization, Knowledge Health, and Generate were launched between March and May 2026). - The team is attracting talent from elite companies (Meta, Amazon, American Express, Ironclad). ## Competitive Advantages - **Self-updating system of record**: Unlike static wikis, Falconer reduces the burden of manual documentation by automatically updating itself from code changes (PR merges). - **AI-agent-first design**: Built specifically to provide accurate context for coding agents, reducing "hallucinations" and improving agent output quality. - **Integration depth**: Direct connectors to GitHub, Slack, and Linear reduce friction for existing tech stacks. - **Targeted focus on high-speed teams**: The product is optimized for shipping speed and developer productivity, not just general knowledge management. ## Strategic Focus - Becoming the default knowledge layer for "high-speed teams" using AI agents. - Automating documentation and knowledge health to reduce meeting overhead and stale content. - Developing agent personalization (long-term memory for user preferences). - Scaling the company from a bootstrapped startup to a larger organization by attracting top engineering and design talent. ## Why Work Here - **Engineering culture**: The team is heavily technical (50% technical roles), with a focus on building a product that makes other engineers more productive. The founders have strong technical backgrounds and are hands-on. - **Growth trajectory**: As an unfunded but rapidly growing startup (300% YoY headcount growth), employees can have a massive impact on product direction and company culture. - **Autonomy and remote flexibility**: The company supports a remote workspace, with employees located across multiple locations (7 locations noted). The policy is "In-Office or Remote," giving flexibility. - **AI/LLM cutting edge**: Work at the forefront of LLM-powered knowledge retrieval and agentic systems. This is a hot area of AI. - **High talent density**: Team composition includes alumni from Meta, Amazon, and high-growth startups, suggesting a high-performance environment. ## Sources 1. [falconer.com](https://falconer.com/) 2. [Built In - Falconer Careers](https://builtin.com/company/falconer) 3. [LinkedIn - Falconer](https://www.linkedin.com/company/falconer-ai-company) 4. [Tracxn - Falconer Company Profile](https://tracxn.com/d/companies/falconer/__TEOO1Rcotq-ZAbL8t-Rsfrgu1Xck70NUwd-016Zucro) 5. [Falconer Jobs](https://jobs.ashbyhq.com/falconer) ## Other roles at Falconer - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-falconer-san-francisco-vdq8z74hd53d) — San Francisco, CA - [Founding AI Engineer](https://feeny.ai/job/founding-ai-engineer-falconer-san-francisco-1r7t691hent1) — San Francisco, CA