Our CEO Louise Ogilvy recently shared what really predicts startup success: not pedigree, but potential. The engineers who become 10x contributors often come from bootcamps, mid-tier companies, or side projects fueled by relentless curiosity. They ship without specs, thrive in ambiguity, and learn new stacks fast. This week’s newsletter highlights the cutting-edge AI and DevTools teams hiring exactly this kind of talent, alongside funding and launches shaping the future of software infrastructure.
⚒️ DevTools Job Opportunities of the Week
If any of the roles pique your interest, please contact the relevant recruiter below.
Product Engineer (Full-Stack) | San Francisco | Up to $350K base + meaningful equity
We are partnering with a top-tier, venture-backed AI company building systems that enable AI to reliably reason and write code. This is a 0 to 1 product role where you will shape both the technical direction and the product itself.
- The Role: Own features end-to-end across React/TypeScript and Python, working directly with users to iterate on web, CLI, and IDE interfaces.
- Requirements: 2+ years as a generalist engineer with a high academic pedigree (CS/Math degree, 3.7+ GPA) and a founder mentality.
- Why Join: Work alongside a 45-person team that has raised $200M+, offering high autonomy and a strong work-life balance.
Contact Becca Combe MIRP CertRP for more information and to apply.
Applied AI Engineer | Palo Alto | Very competitive salary
A leading AI coding assistant startup is looking for an Applied AI Engineer to bring LLM-powered features into the hands of professional software engineers. This role sits at the intersection of product, AI, and systems.
- The Role: Implement AI functionality into key product features, craft prompts to improve LLM reliability, and contribute across frontend, backend, and integration layers.
- Technical Stack: Strong coding skills in Python, Go, Node.js, JavaScript, TypeScript, React, or Java.
- Requirements: Experience with API integrations, service-oriented architectures, and prompt engineering for LLMs like OpenAI, Claude, or Gemini.
- Perks: Unlimited PTO, comprehensive medical coverage, and a collaborative in-person culture at a pet-friendly HQ.
Contact Becca Combe MIRP CertRP for more information and to apply.
Sales and Customer Engineer | NYC, SF, or Austin | Base up to $200k + OTE + extremely competitive equity
An applied AI lab building end-to-end software agents is hiring Deployed Engineers to work directly with customers deploying AI-native IDEs and AI software engineers. This role blends hands-on technical work with customer partnership and rapid execution.
- The Role: Own the full customer lifecycle from deployment to activation, lead demos and pilots, and drive adoption of AI tools in production environments.
- Requirements: 2–4 years full-stack engineering experience plus 3–5 years in sales engineering or pre-sales.
- Tech Stack: Python, TypeScript.
- Work Policy: Full-time, 5 days on-site in NY, SF, or Austin. Visa sponsorship available.
- Why Join: Join a $1B-funded team of 200 employees focused on collaborative AI teammates that empower engineers to solve ambitious problems.
Contact Louise Ogilvy for more information and to apply.
Member of Engineering | East Cost / EMEA (Remote) | $240-400K
A fast-growing AI startup building foundational models for software development is hiring engineers to join their pre-training team focused on distributed training and inference of large language models.
- Compensation: $240K–$400K, flexible cash/equity mix based on experience and location.
- The Role: Improve software reliability and fault tolerance, develop tools for checkpointing and hardware fault detection, and debug Linux kernel modules.
- Requirements: Strong engineering skills with experience in Python (PyTorch), C/C++, CUDA, Linux API/kernel, distributed systems, and reliability. Basic understanding of LLM training and inference is required.
- Tech Stack: Linux API, Python with numpy, PyTorch or Jax, C/C++, NCCL, Kubernetes.
- Work Policy: Remote, East Coast or EMEA preferred. Visa sponsorship available for exceptional candidates.
- Why Join: Work with thousands of GPUs to train the best AI models for code generation at a $626M-funded company of 120 employees.
Contact Louise Ogilvy for more information and to apply.
🏆 DevTools Funding Wins
Respan Secures $5M to Launch Proactive AI Observability
Co-founder Andy Li and the team at Respan (formerly Keywords AI) have raised $5 million in seed funding led by Gradient and Y Combinator. The platform moves beyond retrospective tracing by using an automated evaluation agent to identify root causes and recommend prompt updates. Model-agnostic and easy to integrate, Respan helps over 100 teams manage non-deterministic agent behavior with proactive alerts and regression checks. 🎉 Congratulations to the team, read more on their blog.
Dash0 Lands $110M Series B to Build the AI Nervous System
Dash0 have reached a $1 billion valuation, marking the company as the latest enterprise infrastructure unicorn. This $110 million round, led by Balderton Capital, brings total funding to $155 million. Built natively on OpenTelemetry, Dash0 is launching Agent0, a suite of autonomous AI SRE agents designed to diagnose and resolve production issues without human intervention or vendor lock-in. 🚀 Huge win for Mirko Novakovic, Jonas Grundler, Ben Blackmore, Miel Donkers, Marcel Birkner, and Michele Mancioppi, find out more on their blog.
Galtea Raises $3.2M to Standardise AI Agent Testing
Barcelona-based Galtea , founded by Jorge Palomar Giner and Baybars Külebi, secured seed funding led by 42CAP to tackle the $13 billion AI testing bottleneck. The platform generates use-case-specific scenarios and tailored metrics to validate agents before deployment. Their customers, including Telefonica, report a 71 percent reduction in validation costs by replacing manual checks with automated simulations. ✅ Great progress Galtea! Explore the announcement on their website.
Mayson Secures Pre-Seed Funding for Full-Stack Vibe Coding
Founders Akshay Srivastava and Akshansh Gusain have raised undisclosed pre-seed funding to bridge the gap between AI prototypes and production software. Mayson.dev enables developers to build full-stack applications from simple prompts, automatically generating backend APIs and database structures. The Noida-based team will use the capital to strengthen their core AI systems and expand backend automation capabilities. 💜Congrats to the founders, read the full story here.
🚀 New DevTools Launched
Sazabi Launches on Y Combinator
Sherwood Callaway and his team of 12 engineers have unveiled Sazabi , an opinionated observability platform that requires zero code changes for instrumentation. Designed for fast-moving AI teams, it uses natural language Q&A to resolve incidents and integrates directly with coding agents. It offers an autonomous alternative to the upkeep required by legacy tools. 🗣️ Read the full launch announcement on their blog.
Omnara Ships Mobile Interface for Claude Code
Ishaan Sehgal and Kartik S. have launched Omnara to keep coding agents running while developers are away from their desks. The platform provides a mobile and web interface for Claude Code and Codex, featuring voice-to-code capabilities and persistent cloud sessions. It ensures long-running tasks don’t pause when a laptop sleeps. 📱 Hear from the team in this video or try Omnara here.
Depot Rolls Out High Performance CI Engine
Following their recent Series A, the Depot team has launched Depot CI, a from-scratch engine designed to eliminate the cold start bottleneck of traditional pipelines. By using their own orchestrator, Switchyard, they offer two-second queue times and pre-warmed runners. It speaks the GitHub Actions syntax while providing deeper CLI integration and snapshotting. 🚛 Read the launch post on their blog.
Got launch news or funding to share? Send it to Natalie Harper.
Want more details on the opportunities here or want to register your resume with us, reach out to Becca Combe MIRP CertRP and Louise Ogilvy directly.
Keywords: DevTools, Observability, AI, Agents, Funding, Engineering, Automation, Infrastructure, Production, Deployment, Reliability, Software.
