Lead the team that designs and architects notifications relevance systems, guiding work on optimization, retrieval, and ranking.
Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
Build and maintain a diverse, collaborative team, serving as a thought partner to product and management to align team goals with company objectives.
Reddit is a platform hosting communities built on shared interests, passion, and trust, facilitating open and authentic conversations online. It is one of the internet's largest sources of information with 100,000+ active communities and approximately 121 million daily active unique visitors, fostering a culture focused on connection and community.
Contribute to building an efficient and scalable backend data model, integrations, and web server for a compiler-like engine.
Design and maintain internal and external APIs, including those for MCP products, ensuring clean interfaces and scalability.
Collaborate cross-functionally with transpiler, frontend, and DevOps teams on architectural decisions, data modeling, and distributed task orchestration.
Driver builds systems that turn source code into human language, creating a context layer for employees and AI agents in software development. It is an early-stage, fast-growing Y Combinator and Google Ventures-backed startup that values delivery speed, flexibility, and a close-knit team culture.
Design and implement the CRD API, network configuration patterns, and observability integrations for a Kubernetes operator in a production Rust environment.
Harden the operator's security posture and ensure it is deployable across all major enterprise Kubernetes distributions, including air-gapped and OpenShift environments.
Build operational tooling for support at scale and partner with customer-facing teams to understand and reflect real-world enterprise deployment requirements.
Ditto makes it seamless for developers to build resilient, real-time applications at the edge, using a peer-to-peer sync engine that works without internet. The company is a fast-growing, globally distributed startup with over $145 million in funding, trusted by major enterprises, and committed to building a diverse and inclusive team.
Set the vision and drive execution for the Loans Lifecycle engineering organization, encompassing Loans Platform, Ledger Engineering, and Financial Reporting teams.
Partner with Accounting, Finance, Capital Markets, Product, and Compliance to ensure financial accuracy and regulatory compliance across all loan products.
Hire, develop, and retain a high-performing, globally distributed engineering team across multiple sub-teams and technical disciplines.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. It is a remote-first fintech company with a core value of people coming first, offering competitive benefits including fully subsidized medical coverage.
Build and improve the core RL training infrastructure and platform to accelerate research velocity.
Identify and remove bottlenecks across the RL stack by debugging, profiling, and rearchitecting systems for performance and reliability.
Partner closely with researchers and adjacent engineering teams to understand pain points and ship tooling that enhances productivity.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. We are a quickly growing, cohesive team of researchers, engineers, policy experts, and business leaders focused on high-impact, big science AI research.
Define a clear technical vision, ensuring best practices in architecture, software development, and emerging technologies.
Serve as a trusted advisor to CIOs, CTOs, and senior stakeholders; translate business objectives into technical strategies.
Oversee technical execution, ensuring quality, scalability, and maintainability, while monitoring project health and identifying risks.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at a pace. Our team of 500 experts in 20+ countries is trusted by leading enterprises to deliver enduring impact.
Leading a team of 20+ engineers and growing them over time, including managing managers and providing regular feedback.
Collaborate closely with product, design and engineering leadership to define goals that move the Logs group forward and align with broader business objectives.
Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement.
Grafana Labs is a remote-first, open-source powerhouse with more than 20M users of Grafana. The company helps more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack; it has a global collaborative culture and a passion for meaningful work.
Provide strategic and operational leadership for a multi-country engineering organization.
Design and manage a multi-level management structure, mentoring Directors and Engineering Managers.
Build a culture of continuous growth and accountability, with clear expectations and performance standards.
Sureify modernizes the life insurance and annuity industry by helping carriers acquire, service, and engage their customers through any distribution channel. It's a high-growth enterprise software company where employees value merit in the workplace, long-term thinking, and flourishing of all employees.
Build and evolve backend infrastructure for an agentic AI observability platform using Node.js and Go
Collaborate with AI engineers to productionize and optimize agent workflows for reliability and performance
Design and implement secure execution environments for untrusted or dynamically generated code
Jobgether utilizes an AI-powered matching process to ensure quick, objective, and fair application reviews. They connect candidates with partner companies, streamlining the hiring process and providing opportunities in various industries.
Design, build, and maintain scalable backend services powering AI infrastructure and inference systems.
Develop and optimize distributed systems with a focus on performance, reliability, and low-latency execution.
Contribute to the evolution of platform architecture, ensuring scalability for growing workloads and enterprise use cases.
They are a company using an AI-powered matching process to quickly, objectively, and fairly review applications against a role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.