You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
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. The company values its employees and offers competitive benefits.
Own and evolve Insights surfaces: Shaping APIs, data models, and UX of entity Insights, records browser, labeling/graph/profile, and audio/chat/file insights.
Integrate ML the right way: Define typed, versioned contracts and rollout gates between TypeScript (Next.js/Node) and Python model services; use feature flags, canaries, and safe rollbacks.
Raise search & indexing quality: Manage OpenSearch schemas and analyzers, design reindex/backfill strategies, and run relevance experiments/A‑B tests.
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. Their product (OIP) is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted/on‑prem solution, including air‑gapped deployments.
You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
Kindo is an agent automation platform for DevOps and SecOps teams, helping organizations automate high-friction operational work using autonomous agents. They are a small, highly technical team with strong customer traction and real enterprise revenue, where engineers have direct ownership over critical systems.
Design and implement APIs, data pipelines, and simulation runtime logic for mission applications.
Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
Build and integrate modular microservices for improved scalability and maintainability.
They deliver advanced technology solutions, integrating people and processes to tackle complex challenges effectively. The company has a collaborative and supportive team culture.
Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production.
Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency.
Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform).
Webflow is building the world’s leading AI-native Digital Experience Platform as a remote-first company built on trust, transparency, and a whole lot of creativity. They empower teams to design, launch, and optimize for the web without barriers.
Design and build scalable serving infrastructure for video generation models.
Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products.
Develop compelling demo applications that showcase our platform's capabilities.
EnCharge AI is building the next generation AI platform with in-memory-computing architecture that delivers a 10x improvement in compute energy efficiency and performance for AI inference workloads. They are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors.
Develop and maintain backend systems and services for generative AI and agentic workflows.
Integrate AI-driven capabilities across the Seismic platform, working with data scientists and AI engineers.
Monitor and optimize agentic workflows’ performance, ensuring low-latency query responses.
Seismic provides sales enablement solutions, leveraging AI to enhance sales and marketing organizations. They focus on improving productivity and sales outcomes through their AI engine, Seismic Aura, integrated into their enablement cloud.
Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
Design and document Infrastructure as Code solutions, technical documentation, and how-tos
Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry.
Lead projects end to end and contribute to impactful platform initiatives.
Partner with engineers, scientists, product managers and business teams to identify opportunities.
Design and ship components of a new platform architecture to enable multi-tenancy and scaling.
Freenome is working to detect cancer in its earliest, most treatable stages using a routine blood draw. Freenome is an equal-opportunity employer who values diversity and does not discriminate.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.