Design, build, harden, and deploy end-to-end agentic solutions from scoping to production code.
Own the AI automation roadmap, prioritizing high-leverage opportunities within operations.
Lead a pod of 2-4 engineers as a player-coach, staying hands-on while managing the team.
Parachute Health is the leading digital ordering platform for medical equipment and supplies, connecting clinicians, suppliers, and health plans to deliver home medical equipment to patients. With 300,000+ clinicians and 3,000+ supplier locations, the company is remote-first with a focus on patient care.
Build scalable Python services and AI platform components deployed in cloud environments.
Our partner is a technology company developing advanced agentic AI platforms for enterprise automation. They foster an inclusive, remote-friendly culture with a focus on innovation and collaboration.
Lead the strategy, development, and adoption of internal AI products and automation solutions.
Drive discovery efforts across business teams to identify high-impact AI opportunities.
Build prototypes, define product requirements, and partner with engineering to deliver scalable AI tools.
This position is listed on behalf of a partner company. The partner is looking for a Senior Product Manager to shape how organizations adopt and scale artificial intelligence across internal operations.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Lead a product engineering squad of 8-15 engineers, focusing on people development and delivery practices.
Collaborate with cross-functional teams to align priorities and drive AI-native engineering practices.
Champion engineering excellence through strong testing, quality, and reliable production systems.
Our partner is a company building advanced AI-powered customer experience solutions. They are a fast-growing AI company with a remote team and a focus on innovation.
Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
Develop evaluation and testing approaches to measure model performance and improve solution quality.
Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
We are an end-to-end AI transformation partner guiding enterprises from complex challenges to clear outcomes. We are a convergence of successful firms dedicated to fostering a culture of innovation and professional growth.
Lead the delivery of AI projects end-to-end, establishing technical standards and mentoring a high-performing team.
Guide the design and delivery of RAG systems, agentic frameworks, and LLM-powered solutions for production.
Develop evaluation frameworks and quality standards to ensure reliable AI system performance.
Blend is a premier AI services provider that co-creates impactful solutions using data science, AI, and technology. The company fosters a culture of innovation and collaboration, with a focus on aligning human expertise with artificial intelligence.
Build and hold the team: hiring, coaching, performance conversations, and career growth for ten engineers.
Keep the codebase healthy across quarters, balancing tech debt with product needs.
Grow the team's agentic engineering practice, moving each engineer up the capability model.
Caribou is a financial technology company that helps people refinance auto loans to save money. They are backed by notable investors and have a culture of velocity, collaboration, and giving a damn.
Build and own the internal AI deployment platform to enable safe and scalable agentic workflows across the company.
Ship high-leverage agentic workflows directly for Marketing, Sales, Success, Support, Finance, and Operations.
Lead a cross-functional team of engineers, PMs, and business users, driving measurable business impact and reporting to the CEO.
Wrapbook is the AI platform for production finance, providing payroll, accounts payable, and accounting for film, TV, and commercials. With 350+ employees and backing from top investors like Andreessen Horowitz, they empower finance teams with AI-driven solutions.
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.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Lead technical execution across endpoint agent, backend services, inference pipelines, infrastructure, and frontend.
Translate priorities into clear plans, milestones, and owners; manage and mentor engineers.
Run effective cadence for planning, prioritization, and retrospectives; own hiring and onboarding.
Origin builds the endpoint AI observability platform for AI-adopting organizations, ensuring productivity and safety of AI on endpoints. The company is backed by top VC firms like Sequoia Capital and operates as a fully remote team across the US & Canada, built on trust, autonomy, and excellence.
Lead end-to-end delivery of AI projects with clear governance and stakeholder communication.
Build and mentor a high-performing AI engineering team, setting technical standards.
Design and deploy production-ready AI systems using RAG, LLMs, and MLOps practices.
Blend is a premier AI services provider that co-creates impactful solutions for clients through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, focusing on meaningful projects and career growth for its team.
Lead and mentor a high-performing software engineering team through technological transformation.
Drive adoption of AI-enabled development practices while maintaining strong engineering standards.
Collaborate with product and business teams to deliver scalable, high-quality solutions.
The partner company is a technology organization focused on AI-driven software engineering and security. It fosters a culture of innovation, collaboration, and continuous improvement, with a remote-first approach.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Design, develop, and deploy autonomous and multi-agent AI systems for reasoning, planning, and human-in-the-loop collaboration.
Engineer enterprise RAG pipelines with embeddings, hybrid retrieval, and prompt orchestration for explainable responses.
Build scalable backend services and APIs for enterprise AI workloads with security, reliability, and observability.
LTS builds an AI-native engineering platform to modernize legacy software systems, particularly for healthcare serving millions of Veterans. The engineering team is intentionally small, with every engineer having meaningful ownership and significant technical influence.
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.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Lead a high-performing AI and data science team to develop and deploy AI-driven security systems.
Define and execute the technical roadmap for AI, ML, and data systems, ensuring robust performance and scalability.
Manage the entire lifecycle of data pipelines and AI models, integrating with platforms like AWS Bedrock and OpenAI.
Bugcrowd is a crowdsourced security platform that unites organizations with a global network of hackers to identify vulnerabilities. The company is backed by prominent investors and fosters a collaborative, inclusive culture with a diverse team of professionals.
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.