https://mem0ai.notion.site/2edf22c70c9080f7b366d6481e2a8869?...

Temporal offers an entirely new way to build scalable and reliable applications. Temporal enables developers to focus on writing important business logic, and not on managing state or worrying about the underlying infrastructure. Backed by top VC firms, we have built a team of professionals from various successful start-ups and well-known technology companies.

Temporal Raises Secondary Funding: https://temporal.io/blog/temporal-raises-secondary-funding

Temporal in 7 minutes: https://temporal.io/tldr

We're looking for senior level engineers for multiple roles - see here - https://www.temporal.io/careers

FEATURED ROLES:

Staff Software Engineer - Cloud Capacity → https://grnh.se/a0hc6o6h7us

Senior Product Manager, SDK & Developer Primitives → https://grnh.se/2e82af137us

Senior Staff SWE, Cloud Proxy → https://grnh.se/5lz30bcx7us

Senior software Engineer, Front End →https://grnh.se/f0i314os7us

Senior Software Engineer, AI SDK →https://grnh.se/2zrenjl57us

Staff Software Engineer, DevProd (Observability) → https://grnh.se/e2cuv6xz7us

US benefits include: Unlimited PTO, 12 Holidays + 2 Floating Holidays, 100% Premiums Coverage for Medical, Dental, and Vision, AD&D, LT & ST Disability and Life Insurance , Empower 401K Plan, Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! Benefits outside the United States vary by country.

Apply here https://www.temporal.io/careers/

Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 25+ and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng. Our benchmarks are cited by NVIDIA, Meta, Amazon, and publications including the Wall Street Journal and TechCrunch.

We are hiring across several roles:

Member of Technical Staff: Lead projects in AI benchmarking and analysis. Design and execute evaluations of AI systems, develop new methodologies and datasets, and drive strategic analysis that helps enterprises shape their AI strategy. Technical generalist role with exposure to cutting-edge AI. Consulting and data science backgrounds preferred.

Senior AI / ML Engineer: Lead development of our core benchmarking stack, focusing on data-intensive backend systems and APIs. Design Python solutions for benchmarking, model evaluation, and data analysis. Build visualizations that distill complex AI data into intuitive experiences. 3+ years experience required, project management skills highly valued.

Full Stack Engineer: Build and maintain our benchmarking platform and communicate insights to users. Proficiency in TypeScript & Python required. Familiarity with LLM APIs preferred. Tech stack: JavaScript/TypeScript, Node.js, React/Next.js, Python.

Product Manager (AI Speech): Drive product strategy and execution for our speech evaluation platforms, including text-to-speech, speech-to-text, voice cloning, and real-time voice. Hands-on, technical role working closely with engineering and analysis teams.

Technical Marketing Manager: Own our live programs (webinars, events, conferences) and email marketing. Build and execute on our events calendar, coordinate speaker prep, and engage our 300K+ monthly audience. 3+ years B2B tech marketing experience required.

Solutions Engineer - Language Models: Run our evaluation stack for new model evaluations, debug and interpret results, and work directly with clients to share insights and answer questions. Exposure to cutting-edge AI and world-class evals.

Solutions Engineer - Image/Video: Run evaluations for image and video generation models, debug and interpret results, and support clients with benchmarking insights for media generation AI.

Apply at hiring (-at-) artificialanalysis.ai with your resume, GitHub, and bullet points on relevant experience (including anything you've built). Add | HackerNews to email subject line.

Engineers can't keep up with their production environments: dozens of services, dashboards everywhere, alerts firing constantly. The information to diagnose most issues already exists, but finding it takes longer than fixing the problem. And the more AI-generated code ships, the more services get deployed by people who won't be around to debug them.

Cleric connects to your existing observability stack, autonomously investigates production incidents, and tells engineers what's wrong. We're well funded with years of runway, a small team of AI and infrastructure veterans in SF, growing quickly. Stack: Python, Go, LLMs, Kubernetes.

Some of the problems we work on:

There's no test suite in production. When the AI says "the root cause is X," how do you verify that? You can't A/B test diagnoses. Ground truth labels don't exist. We build evaluation systems that track resolution outcomes over weeks and correlate fixes with diagnoses to build statistical confidence.

When something breaks, everything looks broken. Database latency spikes, five services throw errors, CPU goes up, logs explode. When an agent sees 47 anomalies at once, it needs to figure out which one is the root cause and which are symptoms, across systems with feedback loops, hidden dependencies, and non-obvious temporal relationships.

A single investigation might need six hours of metrics across 50 services, 10GB of logs, 10,000 distributed traces, the last 30 deployments, and the relevant runbooks. LLMs have finite context windows. What's relevant isn't known until you investigate. Getting retrieval wrong means wrong conclusions or exploding costs.

We're hiring:

- Staff Software Engineer, AI: You build the core agent. Reasoning, evals, self-improving feedback loops. You debug agent behavior by tracing reasoning and tool choices to understand why the agent made a specific decision. You build the systems that make a non-deterministic agent reliable, and push it to handle increasingly complex incidents.

- Staff Software Engineer, Product: You define what an AI SRE should actually be. When AI handles the reasoning, how do engineers stay sharp for cases it can't handle? How do you build trust when someone needs to verify agent conclusions at 2AM? You answer these by embedding with customers during real incidents, running experiments, and making the technical calls to ship what works.

- Software Engineer, Backend: You build and scale the investigation platform alongside our senior engineers. Integrations with Datadog, PagerDuty, and dozens of observability tools. Agent reasoning pipelines. Runtime systems that handle real-time data streaming at scale. You'll ship customer-facing functionality across the stack.

- Founding Marketer: Software engineers are allergic to AI hype. Our users already love the product. The challenge is reaching the next thousand teams without setting off their BS detectors. You build the marketing function from scratch: programs, pipeline, infrastructure. You need a technical foundation and the ability to hold a 30-minute conversation with a platform engineering lead without getting lost.

- Staff Designer (Remote): The interfaces for AI agents don't exist yet. How do you make autonomous reasoning legible without overwhelming? You own design across brand, product, and marketing, defining the visual language for a new category.

Apply: https://jobs.ashbyhq.com/cleric | Email: willem-hn@cleric.ai

Willem, Co-founder & CTO