A long weekend usually offers a quiet window, but the level of activity in the DevTools sector remains high. The signal this week is less about simple AI assistants and more about the heavy lifting of production systems. The funding rounds for Neubird AI and ScaleOps, alongside Anthropic’s managed agents launch, point to a clear focus on the orchestration layer. We are seeing real momentum in tools that handle the complexity of autonomous incident response and resource allocation. For engineering leaders, the challenge is shifting from building features to managing a fleet of agents that can act on their own without breaking the stack.
But first, we start off with some opportunities in the devtools sectors that you might be interested in. If you are, please reach out to Becca Combe MIRP CertRP or Louise Ogilvy
⚒️ 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.
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The Role: Own features end-to-end across React/TypeScript and Python, working directly with users to iterate on web, CLI, and IDE interfaces.
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Requirements: 2+ years as a generalist engineer with a high academic pedigree (CS/Math degree, 3.7+ GPA) and a founder mentality.
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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.
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The Role: Implement AI functionality into key product features, craft prompts to improve LLM reliability, and contribute across frontend, backend, and integration layers.
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Technical Stack: Strong coding skills in Python, Go, Node.js, JavaScript, TypeScript, React, or Java.
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Requirements: Experience with API integrations, service-oriented architectures, and prompt engineering for LLMs like OpenAI, Claude, or Gemini.
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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.
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The Role: Own the full customer lifecycle from deployment to activation, lead demos and pilots, and drive adoption of AI tools in production environments.
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Requirements: 2–4 years full-stack engineering experience plus 3–5 years in sales engineering or pre-sales.
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Tech Stack: Python, TypeScript.
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Work Policy: Full-time, 5 days on-site in NY, SF, or Austin. Visa sponsorship available.
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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.
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Compensation: $240K–$400K, flexible cash/equity mix based on experience and location.
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The Role: Improve software reliability and fault tolerance, develop tools for checkpointing and hardware fault detection, and debug Linux kernel modules.
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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.
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Tech Stack: Linux API, Python with numpy, PyTorch or Jax, C/C++, NCCL, Kubernetes.
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Work Policy: Remote, East Coast or EMEA preferred. Visa sponsorship available for exceptional candidates.
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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
Neubird AI Secures $19.3M To Eradicate SRE Toil
Site reliability engineers currently spend nearly half their time fighting fires rather than building infrastructure. NeuBird AI aims to reclaim that capacity through autonomous production operations agents that reason through telemetry signals to pinpoint root causes. Their new AI Falcon engine introduces predictive risk detection, identifying potential failures before they impact the stack. Gou Rao and Vinod Jayaraman report up to 90% reductions in mean time to resolution for early adopters. This $19.3M round, led by Xora Innovation with participation from Mayfield and M12, enables the company to expand platform capabilities and reduce deployment friction for enterprise customers. 🐦 Congratulations! We highly recommend giving their website a look!
Uniblock Raises $5.2M For Managed Blockchain Orchestration
Fragmented blockchain data remains a significant hurdle for Web3 developers requiring high reliability across disparate chains. Uniblock provides a managed orchestration layer that connects applications to hundreds of blockchains through a single API, handling routing, failover, and data normalization automatically. Founders Kevin Callahan and David L. are building an intelligent engine to streamline how decentralized applications are built and scaled. Now supported by $5.2M from SBI Holdings, AllianceDAO, and MoonPay, the company will scale its orchestration engine and enhance AI native developer tools to ensure seamless integration with modern coding assistants. 👏 Find out more on their website.
Conductor Closes $22M Series A To Scale AI Native Workflows
As coding agents begin to outpace traditional development speeds, managing parallelized AI work has become a critical engineering problem. Conductor provides isolated copies of codebases where agents can run independently, allowing humans to review and merge their output without local environment friction. Founders Charlie Holtz and Jackson de Campos have seen usage explode at firms like Datadog and Spotify. This $22M Series A, led by Spark and Matrix with backing from Y Combinator, will help the company evolve into a platform for managing large scale AI organizations across local machines and secure VPCs. 🎉 Huge news! Read the full funding announcement here.
ScaleOps Raises $130M Series C For Autonomous Cloud Management
Static resource allocation often leads to wasted compute and frequent SLO violations in modern cloud native environments. ScaleOps offers a self hosted platform that monitors workloads in real time and allocates resources through context based decisions without human intervention. Founder Yodar Shafrir has steered the company to 350% year over year growth, supporting mission critical setups for Adobe and Wiz. Insight Partners led this $130M round, which values the company at over $800M. The capital will fund the expansion of the ScaleOps product roadmap for autonomous GPU and compute management to meet surging AI infrastructure demand. 💪 Excellent milestone ScaleOps, check out the ScaleOps blog here.
🚀 New DevTools Launched
Velt Cursor Plugin Automates Real Time Collaboration
Adding real time features like CRDT editing, presence, and activity logs usually requires months of complex engineering across auth and websockets. Velt has simplified this into a single command with their new Cursor plugin. The team encoded over 140 implementation rules into an agent that reads a codebase and scaffolds the necessary infrastructure in minutes. By including two MCP servers and a dedicated expert agent persona, Velt allows developers to treat collaboration as a standard feature rather than a separate architectural hurdle. This ensure features anchor correctly to elements without corrupting data or requiring manual websocket management. 💬 Congratulations! Hear from the team in this video
Grass Launches Dedicated VMs For Coding Agents
Coding agents often struggle with local terminal constraints and context loss when switching devices. Grass, which launched on Product Hunt this week, provides a dedicated virtual machine for agents like Claude Code, allowing developers to start a task on a laptop and monitor or steer it from a phone through SSE based event buffering. The team, including Sahil Kathpal, Anil Dukkipatty, Raunaq Vaisoha, and Sunny, built the platform with a secure architecture where API keys never touch company servers. Each new account receives 10 hours of free compute, enabling engineers to experience truly persistent, cloud based agentic workflows without the friction of local DevOps setup. 🌱 Great work! Run your first agent on Grass
Anthropic Rolls Out Claude Managed Agents
Building autonomous AI systems at scale has traditionally required a custom stack of software tools, memory systems, and sandboxed environments. Claude Managed Agents provides this infrastructure out of the box, offering a complete agent harness that lets businesses deploy fleets of autonomous systems. The platform includes a built in sandbox for secure code execution and tools for monitoring agent behavior in real time. This release solves the complex distributed systems engineering problems that previously served as a barrier to enterprise agent adoption, allowing engineers to focus on core product logic rather than underlying orchestration layers. 🤖 Well done! Read the documentation on Claude Platform
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.
