AI Fund

Artificial Intelligence

• Land 2–3 design‑partner pilots in a video‑sensitive category (beauty, appliances, home, footwear) with a clear success metric: relative PDP conversion lift with exposure targets.
• Ship an MVP on‑page module with transcripts, rights metadata, safety gating, and analytics wiring.
• Run a clean experiment: randomized holdout, weekly reads from exposure → plays → add‑to‑cart → purchase; interim lift with confidence bands.
• Seed creator supply: 50–200 rights‑cleared clips across 20–40 SKUs; ≥30% pass quality thresholds and are mapped correctly.
• Define and deliver a read‑only API/MCP so agents can retrieve ranked clips or transcript snippets with license terms and provenance; basic usage metering live.
• Package compliance: standard license presets, disclosure UX, and a one‑pager for retailer legal.

Founder in Residence – UGC, AI Shopping Innovation

Product Designer

• Own the full design lifecycle from discovery to launch
• Partner with product and engineering teams to translate user insights
• Conduct user research and usability testing
• Design elegant, responsive, and accessible user interfaces in Figma
• Collaborate with engineers to ensure design intent is implemented

Product Designer – AI Aspire

Frontend Engineer

• Own the frontend experience of our platform — architecting, building, and shipping responsive, high-performance interfaces in TypeScript, JavaScript, and React.
• Collaborate closely with product, design, and backend teams to deliver seamless end-to-end user experiences.
• Translate complex user needs and product requirements into elegant, maintainable, and scalable frontend solutions.
• Integrate frontend components with backend APIs and services — and, where possible, contribute to backend logic in JavaScript/Node.js.
• Rapidly prototype new features and experiments, leveraging AI-assisted coding workflows to accelerate iteration.
• Work on interfaces that connect directly with LLMs, AI agents, and other frontier models, building intuitive user experiences around powerful AI capabilities.
• Participate in code reviews, technical design discussions, and continuous improvement of engineering practices.
• Monitor performance, identify bottlenecks, and ensure applications run smoothly at scale.

AI Frontend Engineer

Business Development Rep

• Research, identify, and engage potential customers across target industries.
• Develop tailored outreach campaigns (email, LinkedIn, phone, events) that speak the language of EHS and resonate with safety leaders.
• Qualify inbound and outbound leads, uncovering real pains and readiness for AI-driven safety solutions.
• Partner closely with the CEO and GTM leadership on refining messaging, segmentation, and outbound strategy.
• Build and maintain a pipeline of qualified opportunities for Account Executives and leadership.
• Represent Haven at industry conferences, webinars, and events.
• Be the “voice of the market,” sharing insights from conversations with safety leaders back into product and marketing.

Sales Development Representative / Business Development Representative

• Own the full design lifecycle — from discovery and research to ideation, prototyping, visual design, delivery, and iteration
• Partner with product, engineering, and curriculum teams to translate user insights and strategic goals into impactful learning experiences
• Conduct user research and usability testing to identify pain points and opportunities, and turn those insights into actionable design solutions
• Design elegant, responsive, and accessible user interfaces in Figma, ensuring every interaction contributes to a seamless learning journey
• Work with, add to, and maintain a scalable Design System — including components, documentation, and interaction patterns — to ensure consistency and speed across platforms
• Rapidly prototype new ideas using tools like Figma Make and v0, leveraging AI to accelerate exploration and validation
• Collaborate with engineers to ensure design intent is implemented effectively — and, where possible, contribute to front-end prototypes using AI-assisted coding workflows
• Continuously measure and refine design decisions based on product data, user feedback, and key success metrics

• Drive end-to-end UX design with a strong focus on prototyping, iteration, usability testing, and A/B testing.
• Translate complex AI and developer-facing workflows (primarily within Agentic Document Extraction) into intuitive, elegant user experiences.
• Partner closely with Product and Engineering teams to ensure designs are feasible, aligned with business goals, and delivered quickly.
• Gather and integrate feedback proactively from cross-functional stakeholders, iterating rapidly on MVPs and evolving designs over time.
• Conduct user research as needed.
• Create wireframes, user flows, prototypes, and high-fidelity mockups using Figma.
• Advocate for user-centered design practices while maintaining a pragmatic approach that balances user needs with technical constraints.

Senior Product Designer

• Define the product vision for a new Generative AI venture.
• Lead technical execution and ship full-stack, cloud-native applications.
• Serve as the company’s CEO and co-founder, shaping, executing, and scaling the venture.
• Apply deep GenAI expertise and product intuition to solve meaningful user problems.
• Work in close partnership with a Product Builder, Technical Builder, and AI Fund leadership.
• Operate with high ownership and rapid iteration in ambiguous environments.
• Present to investors and participate in capital raises as needed.
• Lead cross-functional collaboration with product, design, and GTM teams.

Founder in Residence – Generative AI

Machine Learning Engineer

Application Engineer

• Callidus: legal generative-AI platform transforming the $1T global legal market
• More than 1,000 paying lawyers; ARR growing >20% MoM
• Hands-on Principal/Staff Full-Stack Engineer role (individual contributor)
• Design, build, and maintain customer-facing features end-to-end
• Engineer reliable, scalable Gen-AI workflows (hybrid RAG, agents, chains of thought)
• Collaborate daily with lawyers and product; own large ingestion/summarization projects
• Uphold code quality, security, and performance via reviews and automated tests
• Tech stack includes: Azure, Python (FastAPI), Redis, Postgres, React/Next.js, Node; AI: OpenAI, Anthropic, Gemini, Meta, Mistral

Principal/Staff Full-Stack GenAI Application Engineer, AI, LegalTech

Software Engineer

• Convert the SME's vision into effective learning content: Our SMEs are experts in their technical domain but are not always teaching or curriculum experts. You will take their ideas and rough materials (hand-sketched slides, bullet-pointed notes, or recorded video lectures) and convert them into learner-facing content (slides, scripts, quizzes, reading items, etc.). Although you do not have to be an expert in the subject of every course, you must be sufficiently technical to understand the material and its intent, and rapidly upskill, before or in the process of creating a new program.
• Review and provide feedback on technical content: You will be learner zero, and the judge and advocate of how other learners may perceive the material. This requires expertise in instructional design and an ability to empathize with learners. You will need to identify areas of improvement in material produced by SMEs or your peers, suggest solutions, and implement them.
• Ensure consistently high content quality and good pedagogy. Effective courses are accurate, cohesive, and engaging. You will be working with peers, with the guidance of the SME and CPM to provide the connective tissue that aligns all the various pieces of feedback and content together. In this generalist role, you could be creating assessments one day, and making video edits to align the scripts and slides the next, all with great attention to detail.