Founding Engineer

Founding Engineer - Senior/Staff

Noto

ABOUT NOTO Noto is building the AI native operating system for after school businesses like tutoring centers, music schools, and sports academies. Our mission is to power the 150K after-school businesses across the U.S. with a unified platform that replaces spreadsheets and outdated tools. We recently raised a $3.8 M seed from Base10 Partners and South Park Commons. Founded by two technical founders — AJ Ding (CEO) and Steve Wang (CTO) — we’re based in NYC and assembling a small, exceptional team of builders who care deeply about craft, users, and impact. Join us to build software that empowers small-business owners in local communities! (us at karaoke with one of our favorite customers) TEAM BACKGROUND 🤝🏻 AJ Ding (CEO) - Second-time founder and previously built an AI recruiting company. He was a machine learning engineer and data scientist at Quora, Lyft, & Meta. He studied Statistics at Yale and most importantly, he comes from a family of small business owners. Steve Wang (CTO) - Former Head of Engineering at Nitra (a16z backed vertical SaaS). He's worked in data science and engineering at Lyft. He studied math at Harvard, and his family is from Canada. LOCATION 📍 * 4 days in-office (Union Square area) * 1 day remote per week * 1 week per quarter work from anywhere * Occasional travel for team off sites and customer visits WORK CULTURE 💼 * High Camaraderie: We are in the trenches together and celebrate our collective success. * Low Ego: We believe in collaboration over hierarchy 🤝. We have a flat decision-making structure—great ideas can come from anywhere. * High Output: Expect an intense, high-growth environment — roughly 55-60 hours on average. We invest that time because every week moves the product forward and our users closer to success. * Have Fun: Hackathons in Mexico City 🌮, karaoke with customers, team off-sites. * Growth Mindset: We attend industry events and learn directly from our users. THE ROLE 🎯 We’re hiring a Senior or Staff Level Founding Engineer who will partner directly with our CTO (Steve) to help lead product, engineering, and design. This is not a typical developer role. You will: * 🧭 Drive engineering execution – help with sprint planning, code reviews, and release quality. * 🧩 Collaborate cross-functionally – work with QA, design, Customer Success, Sales, and GTM to guide product decision making, drive architecture, and shape how we build as we scale. * ⚙️ Build with ownership – ship large features end-to-end, define engineering culture and process as we scale. * 🏗️ Set technical direction – make architectural decisions that shape our next 3 years of growth. * 🤝 Mentor & unblock others – be the first line of defense for technical and product questions and help the team move faster. IDEAL CANDIDATE 💡 * Comfortable leading projects * Hungry for growth and impact. There’s no ceiling to your growth here— take on as much responsibility as you’re ready for * Thrives in ambiguous environments and takes ownership end-to-end * Excited to help small businesses thrive through technology * 5+ years of experience * Full-stack (React, Next.js, Node, Postgres) ENGINEERING CULTURE 🛠️ We value product-minded engineers who think like founders. You’ll own features end-to-end and help shape the roadmap. We tolerate messiness to ship quickly, but take responsibility for cleaning up our tech debt. As the founding engineering, you will help shape a strong engineering culture that keeps us efficient and motivated: 1. Always Be Shipping – Progress over perfection, iterate quickly 2. Pride in our Craft – Quality matters - we take pride in our work 3. Serve the Customer – Our users run small businesses; we exist to make their lives easier COMPENSATION & PERKS 💰 * Competitive pay and meaningful equity 📈 * Office lunch and a stipend for work-related expenses 🍕 * Company Retreats – Join us for team retreats to bond, recharge, and plan the future together ✈️ * 100 % company-paid benefits 🏥 INTERVIEW PROCESS 🧩 1. 30 min behavioral with AJ 2. 45 min System Design 3. 45 min Coding Interview 4. Onsite (in NYC) to experience a day in the life WHY WORK WITH US ❤️ * Serve everyday people in local communities and make a large impact in an underserved market * "Y'all are incredible and have made such a difference in my life in ways both professional and personal. I'm grateful and indebted." - Noto Customer 🥰 * Each customer averages over 6 hours of usage / day) * Work with a smart, collaborative, ambitious, and caring team * Fast paced environment * High level of ownership * Fun founders + team off-sites 😄 👀 SOUND INTERESTING? Let’s talk. If you’re excited to build from ( almost ) zero to one, own meaningful parts of the stack, and help scale a product loved by educators and creators, we’d love to meet you! ✉️

Growth Engineer

Extend

Extend is building a modern document processing platform. We're on a mission to transform how the world works with unstructured data. We’re hiring a Growth Engineer to join our founding team and own technical distribution. This role sits at the intersection of engineering, product, and GTM, and is focused on shipping real technical artifacts that earn developer attention and drive adoption. This is a hands-on engineering role. You will be writing code. WHY YOU SHOULD CONSIDER JOINING * We grew revenue 400% last year, with growth continuing to accelerate * Extend is used in mission-critical workflows at companies like Chime, Flatiron Health, Brex, Opendoor, Checkr, and more * The document processing market has expanded 1000× due to LLMs — and existing solutions are brittle and low-trust * We punch far above our weight with a lean team — every hire has outsized leverage * We’re solving novel problems at the intersection of LLMs, evals, complex data pipelines, and human-in-the-loop systems * Backed by world-class investors (YC, Homebrew, investors from OpenAI, and more) * You’ll work directly with the CEO, CTO, and founding team with real ownership IMPACT Document processing is exploding. Developers are actively evaluating tools and asking: what actually works? Your job is to answer that question publicly and credibly. This role exists to: * Own technical distribution for Extend * Build artifacts developers trust because they can inspect and test them * Shape how the market understands document processing, OCR, and extraction Success looks like shipping projects that drive real usage, pipeline, and category leadership — not vanity metrics. ROLE You will build and ship technical growth experiments end-to-end. Responsibilities include: * Build public-facing technical projects (e.g. OCR Arena (ocrarena.ai), benchmarks, demos, microsites) * Design and run benchmarks for document processing (accuracy, latency, cost, tradeoffs) * Ship technical demos, reference implementations, and eval harnesses * Write production-quality code across the stack * Own projects from idea → build → launch → iteration * Instrument experiments and tie them back to adoption and revenue impact * Partner closely with Engineering, Product, and GTM * Move fast, test aggressively, and kill ideas that don’t work WHAT WE’RE LOOKING FOR You likely have: * Strong engineering fundamentals and experience shipping real systems * Comfort working across the stack (frontend, backend, infra, data) * Experience with APIs, datasets, evals, or developer tooling * Background in high-growth startups or highly ambiguous environments * Ability to communicate clearly with a technical audience You might have: * Built tools, benchmarks, or demos that became externally useful * Written technical content grounded in systems you actually built * Shipped side projects that attracted real developer usage or attention * Worked at the intersection of product, engineering, and growth You definitely have: * High agency and velocity * Strong technical taste (signal > noise) * A founder mentality — no task is beneath you * Obsession with outcomes, not activity BENEFITS Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to craft a package designed for you: * Insurance - 90% health insurance premium coverage * Relocation - for candidates based outside of NYC * Unlimited PTO policy - we trust everyone like owners, take what you need * Daily lunch & snacks covered (plus dinner if you're in the office late) - you'll never go hungry and you help pick the snacks * Unlimited token / tooling access - no handicaps on your productivity * Learning and development investment - we invest heavily in our team and support your growth Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Staff Software Engineer - Agent Quality

Databricks

STAFF SOFTWARE ENGINEER - AGENT QUALITY P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.  As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. THE IMPACT YOU WILL HAVE * Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. * Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development. * Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform. * Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform. WHAT WE LOOK FOR * 6+ years industry experience building software systems * Strong Python programming skills, with experience building production or research infrastructure * Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity * Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications * Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms * A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams NICE TO HAVE * Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure * Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $190,000—$270,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.