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.
Own the multi-year technical strategy and architectural direction for the Platform across six architectural layers, including Modeling, Orchestration, and AI.
Lead delivery of the Platform's most impactful projects as a hands-on technical leader, focusing on customer experience and developer ergonomics.
Partner with senior EPD leadership to connect platform investments to business outcomes and coach engineers toward greater strategic impact.
CaptivateIQ provides an interconnected modeling platform for enterprise business models, enabling companies to compound value from proprietary data and logic. The company has a growing engineering team with a platform group of about 25 engineers, emphasizing technical leadership, hands-on development, and collaboration.
Reverse engineer flagship products to understand technical designs and implementation complexities.
Build AI-enabled features in core offerings to meet critical customer demands.
Champion the adoption of AI-assisted code generation tools while maintaining rigorous quality gates.
Hyland is the pioneer of the Content Innovation Cloud, delivering enterprise intelligence to organizations through solutions that unlock insights and drive automation. With nearly 4,000 employees, the company fosters an employee-centric culture focused on career development, wellbeing, and innovation.
Shape long-term technical strategy and architecture across products and platforms.
Lead complex, cross-team initiatives from design through production.
Establish engineering standards, architectural patterns, and best practices.
Fama is a technology company that leverages AI and software engineering to deliver innovative solutions. The company is remote-first, with a focus on engineering excellence and a culture of inclusion and continuous learning.
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.
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.
Manage, coach, and develop a team of four to six engineers.
Translate open-ended research goals into technical strategies, milestones, and well-designed systems.
Balance research velocity with reliability, maintainability, and security.
FirstPrinciples is a research company building AI for scientific discovery, with systems like Theo the AI Physicist. They are a fast-growing, remote-first team of builders, researchers, engineers, and thinkers across the globe, united by curiosity about the universe.
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.
Lead large-scale technical programs across Product, Engineering, Architecture, UX, Data, Governance, and Operations teams.
Translate strategic objectives into structured execution plans with milestones, dependencies, risks, and measurable outcomes.
Establish governance frameworks using metrics, readiness indicators, and outcome-based measurements to drive delivery.
Our partner is a technology-driven organization focused on enterprise transformation, connecting AI-driven workflows and platform capabilities. The company fosters an inclusive culture that values teamwork, transparency, integrity, and bold innovation.
Provide technical leadership across the platform team, influencing decisions without formal authority.
Evaluate and challenge architectural decisions with solid reasoning, identifying and correcting wrong paths early.
Collaborate with existing technical leads to co-create solutions and sustain technical disagreements constructively.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Lead and manage software development teams across multiple product lines.
Establish and improve development practices like version control, CI/CD, and agile processes.
Champion an AI-first mindset to drive improvements in throughput and quality.
Datacor is the leading provider of software solutions for the process manufacturing space, including ERP, CRM, and simulation tools. We are passionate about serving our customers and fostering a collaborative, engineering-first culture across our teams.
Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools.
Architect and build Docker's internal developer platform, CI/CD infrastructure, and establish standards for reliability, security, and performance.
Lead cross-functional technical discussions, mentor engineers, and drive adoption of developer tooling and engineering standards.
Docker provides developer tools for building, sharing, and running applications, trusted by over 20 million monthly users. They are a globally distributed, remote-first team building tools that define how software gets built and delivered.
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 long-term engineering vision, strategy, and roadmap.
Oversee end-to-end software development lifecycle including architecture, development, testing, release, and operations.
Build, lead, and scale high-performing engineering teams while fostering an AI-first culture.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries.
Define and drive technical strategy for the Applications Portfolio, ensuring consistency, scalability, and performance across Web, Mobile, and Headless surfaces.
Mentor senior engineering talent and foster a culture of technical excellence and proactive problem-solving.
Collaborate with Product leadership to align engineering strategy with customer needs and product evolution.
AlphaSense provides AI-driven market intelligence and search, helping companies make informed decisions by analyzing vast amounts of public and private content. With over 2,000 employees globally and trusted by 6,000+ enterprise customers, AlphaSense fosters a culture of innovation and collaboration.
Lead technical strategy and architecture for modernizing software applications and digital platforms.
Drive engineering excellence through standardization of practices, DevSecOps adoption, and CI/CD pipelines.
Mentor engineers and foster a culture of continuous learning, innovation, and technical rigor.
RYZ Labs is a startup studio that builds industry-defining companies by leveraging top talent in Latin America and the US. Founded in 2021, the company operates with a remote-first culture, emphasizing autonomy, ownership, and continuous learning.
Build and scale high-performing engineering teams, hiring and developing top technical talent.
Define and drive technical strategy, execution, and long-term roadmap alignment with business objectives.
Oversee architecture, infrastructure, and best practices for scalable, reliable systems.
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
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.
Define and execute AMP's technology vision, strategy, and roadmap in support of commercial and strategic objectives.
Lead and scale AMP's engineering organization across Facility Engineering, R&D, and Software Infrastructure.
Drive execution of hardware, software, and systems engineering programs, ensuring timely delivery of high-quality products.
AMP applies AI-powered sortation at scale to modernize the world's recycling infrastructure and maximize the value in waste. Headquartered in Louisville, Colorado, the company has hundreds of deployments across North America, Asia, and Europe, and is recognized as one of the state's top workplaces.
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.