This week we cover fresh funding for AI governance, massive bets on voice agents, and new launches that monitor agents and apps in real time. We are also highlighting several high-impact roles within some of the fastest-growing devtools startups in the USA.
Please reach out to our team for more information on any of the opportunities featured below.
⚒️ DevTools Job Opportunities of the Week
Backend Engineer | Early‑Stage Devtools | Remote
Join an early‑stage devtools startup rethinking how developers maintain and scale codebases. You will own production backend services, infrastructure, databases, and data pipelines, working directly with the founder and a small senior team. The work ranges from core system design to practical challenges like compliance and reliability at scale. This role suits a backend‑focused engineer with 4+ years of experience, strong skills in Python, Go, or TypeScript, and a solid grasp of SQL and cloud platforms. If you enjoy craftsmanship, mentoring peers, and having clear product impact, this is a rare opportunity.
Contact: Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
Systems Engineer | Onsite, Palo Alto | $225k–300k
This team is building an AI coding assistant designed for professional engineers working in production-grade codebases. As a Systems Engineer, you will bridge the gap between complex AI research and real-world SaaS applications by designing and maintaining scalable, high-availability infrastructure. You will work hand-in-hand with researchers to optimize systems for intensive AI computations and automate core operations. Looking for 5+ years of experience in distributed systems with expertise in Python, Go, Rust, or C++. Familiarity with AWS, Docker, and Kubernetes is a significant plus.
Contact: Louise Ogilvy | +1 917 924 5437 | louise@develocity.io
Frontend Engineer | Hybrid, SF Bay Area | $225k–300k
Join a high-growth team focused on helping developers navigate and manage massive, complex codebases. Backed by top-tier investors with over $250m raised, this startup is approaching its Series C and is trusted by thousands of engineers. You will own and ship high-quality, developer-facing experiences using TypeScript and React, working closely with product and platform teams to shape essential workflows. This role is best suited to a Frontend Engineer with deep modern experience and a track record of building impactful products for technical users in high-bar engineering environments.
Contact: Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
AI Product Engineer | Hybrid, SF Bay Area | Base up to $300k + equity
Join a Series B devtools startup experiencing phenomenal growth and trusted by leading tech companies. This hands‑on engineering role focuses on translating product needs into intuitive, reliable AI experiences, from prompt design to system integration. You will contribute across frontend, backend, and integration layers to build tools that developers love. This position is ideal for a Product Engineer or Applied AI Engineer with strong coding skills in Python, Go, Node.js, or Java, experience with API integrations, and a deep familiarity with prompt engineering for LLMs.
Contact: Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
Research Engineer | Onsite, Palo Alto | $300k–465k
This is a unique opportunity to sit at the intersection of research and engineering for a startup redefining how developers build software. You will transform cutting-edge ideas into production-ready systems that power a sophisticated Context Engine for entire codebases. The role involves designing ML models for code understanding, building large-scale experimentation frameworks, and owning projects from prototyping to deployment. Ideal candidates will have a degree in Computer Science or Machine Learning and deep experience with LLMs, retrieval systems, or post-training. Proficiency in PyTorch or TensorFlow and experience with large-scale data processing are essential.
Contact: Louise Ogilvy | +1 917 924 5437 | louise@develocity.io
🏆 DevTools Funding Wins
Fiddler AI Lands $30M Series C For Control Planes
Fiddler AI has raised a $30 million Series C to double down on its control plane for compound AI systems, bringing total funding to $100 million. Founded by Krishna Gade (CEO) and amit paka ☕️ (COO), the Palo Alto company provides observability, governance, and security for AI agents in production. The new capital, led by RPS Ventures, will help Fiddler expand its control plane, deepen integrations, and grow adoption in regulated industries where traceability and policy are critical. Fiddler’s goal is simple to state and hard to build: become the neutral nerve center that keeps enterprise AI trustworthy at scale.
🎯 Huge congratulations the Fiddler team, explore more via Fiddler Ai Blog
Modelence Secures $3M Seed For AI App Delivery
Modelence has raised a $3 million seed round to help developers ship AI‑built apps without wrestling with infrastructure. The one‑year‑old San Francisco startup removes the need to stitch together hosting, security, and databases. Developers bring their generated app, Modelence handles deployment and operations. The round was led by Y Combinator, with Rebel Fund, Acacia Venture Capital Partners, Formosa VC, and Vocal Ventures joining. In a world where more code is drafted by agents, Modelence wants to be the default “ship button” that turns prototypes into secure, production‑ready services without turning every team into full‑time platform engineers.
💡 Well done Modelence! Read more in the TechCrunch article.
ElevenLabs Soars With $500M Series D At $11B
ElevenLabs has closed a $500 million Series D round at an $11 billion valuation, more than tripling its valuation in a year. The capital will be used to expandElevenAgents, ElevenCreative, and ElevenAPI while growing research into emotional models and audio intelligence. The fast-growing team is now doubling down on conversational agents that talk, listen, and act across many languages for customers like Deutsche Telekom and Meta.
🎙️ Massive congratulations Elevenlabs! Read their announcement here.
🚀 New DevTools Launched
Dynatrace Introduces Developer‑First Observability Control
Dynatrace has released new tools that move from passive monitoring to an active control layer for modern apps and AI systems. Highlights include a revamped frontend experience with RUM in Grail, better mobile diagnostics for ANRs and crashes, feature‑level runtime controls from the DevCycle acquisition, and end‑to‑end traces that link AI calls, services, databases, and cloud. Agentic workflows plus a Dynatrace MCP Server let both developers and AI agents act on live telemetry, while IDE integrations like Windsurf and Cursor bring debugging into the editor.
🧭 Impressive evolution from the Dynatrace team, read the launch announcement on Dynatrace.
Sentrial Launches Production Monitoring For AI Agents
Sentrial (YC W26), founded by Neel Sharma (Co‑founder) and Anay Shukla (Co‑founder), has launched a platform that tracks how AI agents behave in production. It detects loops, hallucinations, tool misuse, and user frustration in real time, then surfaces root causes using conversation patterns and tool traces. The goal is to replace blind spots and manual debugging with targeted alerts and guidance whenever agents drift off course.
🛰️ Exciting move for teams running critical agents, see how Sentrial works at sentrial.com.
Bunny.net Debuts Simple Global Database Service
Bunny.net has launched Bunny Database into public preview, giving developers a lightweight, pay‑as‑you‑go data layer on top of its CDN and edge platform. The service offers one‑click deployment, SDKs for TypeScript, Go, Rust, and .NET, HTTP access, a browser editor, and metrics, across 41 regions worldwide. During preview it is free, capped at 50 databases of up to 1 GB each per user, which makes it a low‑friction option for side projects and edge‑heavy apps.
🌍 Big congrats to Marek Nalikowski and the Bunny.net team, support the Bunny Database launch on Product Hunt.
Salus Offers Runtime Guardrails For AI Agent Actions
Salus (YC W26), founded by Kevin Pan (Co‑founder) and Vedant Singh (Co‑founder), has introduced an API that validates agent actions before they execute. It checks each step against an evidence cache and written policies, blocking unsafe actions and providing structured feedback so agents can retry correctly. Salus also adds PII detection, budget and loop protection, and human‑in‑the‑loop controls, combining evals, observability, and runtime enforcement in one place for teams deploying high‑stakes agents.
🛡️ Learn more and book a demo at usesalus.ai.
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: AI agents, devtools funding, AI observability, voice AI, runtime guardrails, software engineering jobs, AI governance, production infrastructure, agentic QA, developer productivity, devtools, developer tools, dev tools
