Design, evolve, and scale the Customer Success AI platform, including reusable services and reference architectures that support multiple AI products.
Build and maintain foundational AI infrastructure such as orchestration services, context engines, memory services, and workflow execution frameworks.
Optimize platform capabilities across model routing, latency, cost, reliability, observability, governance, and security for enterprise-grade performance.
Zscaler accelerates digital transformation by providing a cloud-native Zero Trust Exchange platform that secures users, devices, and applications from cyberattacks and data loss. The company is building a culture of execution centered on customer obsession, collaboration, ownership, and accountability with high-performing teams.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
Define and evolve architecture and engineering practices across multiple teams.
Build and ship production systems across AI, backend, cloud, infrastructure, and full-stack applications.
Mentor engineers and raise technical quality through hands-on leadership.
G-P is a leading SaaS-based Global Employment Platform that enables clients to expand into over 180 countries quickly and efficiently. They have a diverse, remote-first team and foster an innovative culture where every contribution is valued.
Lead the organization’s most consequential technical challenges, turning ambiguity into clear direction and measurable outcomes.
Simplify complex systems, strengthen engineering practices, and create scalable foundations that are easier to operate and evolve.
Influence decisions without formal authority, working closely with senior business and technology leaders.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to ensure fair and efficient application reviews.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Define and drive innovative technical vision for intelligent networking and agentic AI platforms.
Design and build high-performance, production-ready services for real-time data and AI processing.
Mentor engineers, lead technical discussions, and uphold engineering excellence across the team.
We provide end-to-end, cloud-driven networking solutions trusted by over 50,000 customers globally. With double-digit growth and a culture of inclusion, we foster an innovative workplace where all employees thrive.
Lead the company’s technical vision and architecture for the platform and AI products, acting as a player-coach. - Own the technical roadmap and ensure alignment across data infrastructure and AI development. - Serve as the public face of Civis technology, evangelizing and forming external partnerships.
Civis Analytics is a data analytics and AI company that builds a data platform and standalone AI products. They have a culture of embracing individuality and celebrating differences, with a small engineering team.
Define and drive the technical architecture for AI, data, and platform initiatives supporting Anomali's product strategy.
Translate product strategy and customer outcomes into scalable architecture and implementation plans, balancing near-term delivery with long-term maintainability.
Partner closely with Product Management, Engineering, Data Science, and UX to ensure technical decisions align with the five-level maturity model.
Anomali delivers the first Intelligence-Native Agentic SOC Platform, unifying a security data lake, threat intelligence, and agentic AI into a single experience. The company is headquartered in Silicon Valley and fosters a culture of innovation and security.
Lead the AI Platform team building the core AI Gateway for high-throughput LLM traffic.
Own strategy and architecture for processing up to 1 trillion LLM tokens per week with scalability.
Partner with product, research, and executive teams to align roadmap and technical governance.
AlphaSense provides AI-driven market intelligence to help companies make decisions. They have over 2,000 employees globally and are headquartered in New York City.
Architect and build AI platforms, working across distributed teams to deliver GenAI products like Abacus Agents, MCP, and RAG systems.
Develop ML/AI pipelines for data preprocessing, model training, and evaluation, enabling rapid experimentation and self-healing systems.
Mentor software developers, participate in architectural discussions, and communicate technical direction to align teams and stakeholders.
Abacus Insights transforms healthcare data for health plans to improve outcomes, reduce waste, and enhance member and provider experiences. Backed by $100M from top investors, the company is a collaborative, curiosity-driven team of bold individuals embracing AI and automation to innovate in the healthcare industry.
Set the AI technical direction for HotDocs, owning architecture for AI capabilities and delivering a pragmatic roadmap.
Deliver enterprise AI features from prototype to production using .NET Core and React, maintaining high standards for performance and security.
Drive AI adoption across the SDLC, leading the use of coding assistants, agentic workflows, and test generation.
Mitratech builds enterprise software for legal, risk, compliance, and HR professionals at Fortune 100 companies. They foster a global, inclusive culture focused on innovation and collaboration.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
Design and own the playbook for AI productization, governance, and reusable internal tooling.
Champion AI-assisted development, TDD, and modern CI/CD practices across the organization.
Act as the primary technical authority bridging AI/ML architecture and executive strategy.
RYZ Labs is a startup studio that creates industry-defining companies by leveraging top talent and cutting-edge cloud technologies. Founded in 2021, we have a remote team across the US and Latam, with a culture of autonomy, ownership, and continuous improvement.
Own the engineering enablement track for a major iGaming client's AI adoption program, driving continuous diffusion of AI practices across eight engineering organizations.
Package and transfer working practices into reusable artifacts such as playbooks, spec templates, and skills repos, ensuring adoption across multiple companies.
Operate the rhythm of bi-weekly validation calls, monthly cross-company demo meets, and per-company status boards to measure and optimize AI adoption.
Neurons Lab runs a group-wide AI Adoption Program for a major iGaming client, a holding of six game studios plus central business functions with ~800–1,000 employees. The company focuses on enabling engineering organizations to adopt AI practices through continuous diffusion and transfer of working practices.
Lead and scale engineering teams building agentic and AI-enabled product experiences.
Partner with Product, Design, and Data Science to define technical roadmap and translate AI capabilities into user-facing features.
Drive architectural standards, ensure reliability and performance, and champion engineering excellence across the organization.
Iterable is an AI-powered customer engagement platform that helps brands create personalized experiences at scale. With nearly 1,200 customers globally, the company fosters a culture of innovation, collaboration, and inclusion, earning recognition as one of Inc's Best Workplaces.
Define architecture for complex, high-impact systems.
Lead company-critical engineering initiatives.
Mentor senior and staff-level engineers.
They build sophisticated infrastructure and software systems for critical business operations. They are a rapidly scaling company with a collaborative, fast-moving culture where ownership is encouraged and decisions are made quickly.
Lead, mentor, and develop a small team of AI engineers, fostering a culture of ownership and engineering excellence.
Define the technical vision and architectural direction of the AI product, ensuring high standards for performance and scalability.
Contribute hands-on to the design and optimization of production AI systems, including model serving and inference pipelines.
The partner company is developing a cutting-edge AI platform that powers innovative products at scale. They foster a collaborative, remote-first environment and focus on engineering excellence.
Own the technical path from customer interest to working deployment, integrating the platform into production AI environments.
Build and operate AI/MLOps pipelines, debug complex environments, and create prototypes and demos.
Translate customer needs into product improvements, partnering with Sales, Product, and Engineering.
Neuromorphic Labs is a Seed-stage AI startup building a trust layer for production AI, making security, governance, and control intrinsic to every model and deployment. Backed by top-tier VCs, the team is small and fast-paced, emphasizing ownership, high standards, and collaboration with exceptional builders.
Own software architecture and delivery: design, deploy, and operate systems at scale.
Design and evolve AI systems including prompting, retrieval, evaluation infrastructure, and expert feedback loops.
Hire, manage, and grow the engineering team from 3 FTEs while staying on the frontier of AI and legal AI.
Inhouse is the #1 AI lawyer for small to midsize businesses, combining AI, their own law firm, and an expert feedback loop to deliver fast, compliant legal work. They grew revenue 1,500% last year and recently raised a $5M seed round from leading VCs.