Define end-to-end requirements for AI capabilities, from model behavior to user experience.
Translate model capabilities and technical constraints into product decisions.
Work closely with ML and engineering teams on system design and iteration.
They develop AI-powered email applications and work at the intersection of user needs and model capability. The company is fast-moving and collaborative with a strong focus on technical ownership and innovation.
Define and execute the vision for Email AI, including generative content, autonomous sequences, and predictive send optimization.
Partner with AI, engineering, design, and GTM teams to build an 18-month roadmap and launch features into General Availability.
Drive user adoption and campaign creation velocity through intuitive, AI-native experiences for non-technical marketers.
HighLevel is an AI-powered business operating system that helps agencies and SMBs automate and scale their operations. With over 2,000 team members across 10+ countries, it is a global, remote-first company known for a culture of speed, ownership, and innovation.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Build AI features inside real clinical workflows, like checking notes against payer and compliance requirements before finalization.
Design evals to prove those features are right and keep them honest as models change.
Prototype AI capabilities, including voice agents, and take the best from prototype to production.
Ease builds the AI-native operating system for behavioral health, replacing disconnected tools with one platform for CRM, EHR, and revenue cycle management. Backed by a $41M Series A, this rapidly growing NYC team has no product managers—engineers talk to customers and ship in days.
Own the end-to-end product experience for agentic AI solutions, from deep-dive discovery to shipping high-impact improvements.
Become the Central expert in record time and turn messy complexity into a clean, simple, integrated UX across all modules.
Lead design reviews, propose UX optimizations, and map the full product surface area to drive higher conversion and lower dropoffs.
Central AI, backed by top-tier Silicon Valley VCs, builds agentic AI solutions for small and medium businesses globally. It operates like a startup within a corporate, offering high autonomy, low bureaucracy, and a fast-moving, agile culture.
Evaluate AI model responses across diverse topics and use cases against established quality standards.
Write, test, and refine system prompts to influence model behavior and performance.
Identify and document model failures and provide clear, actionable feedback to product teams.
This company specializes in evaluating and improving advanced AI systems through content evaluation and prompt engineering. It operates as a partner company managing applications for this role, focusing on quality and consistency in AI behavior.
North America
Unlimited PTO
18w maternity
12w paternity
Own vision, strategy, and roadmap for Source's agent platform, including framework, sessions, memory, and evals.
Set the quality bar for non-deterministic AI products by defining evals, guardrails, and success metrics.
Build reusable primitives and MCP/CLI interfaces for marketing teams and developers to extend Source.
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize web experiences. They are a growing, privately held company focused on craft, quality, and inclusivity.
Prototype and test ideas for applying AI to data and marketing workflows.
Develop and ship production-ready AI applications in close collaboration with product and engineering teammates.
Make architectural and framework decisions for LLM-based systems and build data agents that answer analytics questions.
This is a Series D marketing technology company focused on building AI experiences that help teams use data to improve marketing workflows. They are a small, fast-paced product and engineering team within a venture-backed startup environment.
Design and deploy AI agents that automate sales, operations, and support workflows.
Own technical delivery end-to-end, from architecture to production and post-launch improvements.
Work directly with clients to understand workflows and explain technical tradeoffs.
Stello is an AI transformation firm that partners with mid-market and enterprise companies to automate repetitive work with AI agents. They work across sales, operations, and customer support, deploying solutions inside existing client tools.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Own end-to-end product strategy and roadmap for Netomi's Agents platform, tying investments to measurable enterprise outcomes.
Work hands-on with AI labs, build prototypes, design evaluations, and debug production failures to drive faster product decisions.
Collaborate with engineering, research, data science, and go-to-market teams to launch capabilities adopted by global enterprise brands.
Netomi is an agentic AI platform for enterprise customer experience, enabling automation across the customer journey for global brands like Delta Airlines, MetLife, and United. Backed by WndrCo, Y Combinator, and Index Ventures, it focuses on driving efficiency, lowering costs, and delivering high-quality customer experiences.
Own end-to-end design of core product experiences from concept to shipped.
Build and scale the design system, tokens, and patterns with the design team.
Lead customer research and collaborate directly with engineers on product direction.
Geordie is building category-defining tooling for enterprise AI agent visibility, governance, and risk. A Series A startup with a small design team and three development teams, it values speed, collaboration, and kindness.
Test and evaluate AI model responses across diverse topics and conversation types.
Write and refine system prompts to shape model behavior and personality.
Apply detailed rubrics consistently to assess model performance and document findings.
We are a team dedicated to evaluating and improving advanced AI models and products. Our fast-moving environment emphasizes quality, independent judgment, and attention to detail.
Build and deploy AI workflows and skills using AIVA
Integrate AI solutions with APIs, databases and enterprise systems
Rapidly build, test, demonstrate and refine solutions with clients
Williams Lea is the leading global provider of tech-enabled business and marketing services helping clients manage and transform processes. The company serves clients in 20 countries across four continents and has 15,000 employees worldwide.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Own your platform end to end, shaping strategy and roadmap from requirements through launch and adoption.
Define and measure success with technical requirements, metrics, and AI-powered improvements.
Partner across data, product, and business teams to balance long-term bets with near-term wins.
Engine is an AI-native platform for intelligent travel, powering business travel for over 40,000 customers and nearly 2 million travelers. The company has an ambitious, fast-paced culture recognized as a best place to work, with high-caliber colleagues and full ownership.
Represent the customer: develop deep understanding of creative and marketing workflows through frequent customer engagement and synthesize findings on agent performance.
Lead Agent Development: run user interviews, competitive research, eval analysis, and prompt experimentation to shape new product offerings.
Own agent quality: create eval infrastructure, monitor regressions, and ensure agents improve with every release.
Runway builds AI to simulate the world, merging art and science through its all-in-one platform for generating and editing video, images, and audio. The company has a creative, ambitious team and has been recognized as a best place to work.
Design product solutions from discovery through delivery, collaborating closely with engineering and stakeholders.
Bridge digital and physical operations, creating simple software for complex mailroom workflows.
Evolve design practices by leveraging AI tools and contributing to design systems.
Stable simplifies business headquarters by providing companies with a business address and dashboard to manage physical mail online. Backed by Y Combinator and other top investors, the growing company serves over 15,000 companies, including Brex and DoorDash, with an early-stage startup culture.
Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.