Embedding VC

Artificial Intelligence

• Produce high-quality AI video content for client campaigns, internal projects, and platform demos—concept to final cut.
• Maintain deep, current expertise across generative video models (Veo3, Sora2, Runway, Kling, Hailuo, Wan, Pika)—know each model’s strengths, limits, and sweet spots.
• Develop advanced prompting techniques and multi-step pipelines that consistently produce usable results.
• Combine AI footage with traditional editing (Premiere, After Effects, CapCut) to deliver polished final assets.
• Experiment relentlessly: test new models on release day, benchmark outputs, and build prompt libraries for the team.
• Collaborate with the Creative Director and production team to bring ad concepts to life at speed.

AI Creator – Video, Generative Media

Product Designer

• Design end-to-end user experiences, from user journeys and interaction flows to detailed UI execution
• Translate user needs, research insights, and product requirements into clear, intuitive designs
• Partner closely with Product, Engineering, and Research to define product direction and prioritize high-impact features
• Anticipate edge cases and secondary use cases, ensuring robustness and clarity across workflows
• Bring structure to ambiguous problem spaces by asking the right questions and synthesizing inputs
• Create wireframes, prototypes, and high-fidelity designs that balance usability, creativity, and storytelling
• Contribute to a consistent design language that supports scalable product development
• Advocate for human-centered design in AI-powered products

Product UI/UX Designer

Full-stack Engineer

• Own product features from concept and UX through backend systems and production launch
• Design scalable backend architectures, APIs, async pipelines, and AI inference workflows
• Lead system design with a focus on performance, reliability, and extensibility
• Design clean, scalable data models across SQL and NoSQL systems
• Build polished frontend experiences using React / Next.js
• Make and clearly communicate technical trade-offs
• Collaborate closely with Product, Design, and GTM
• Mentor engineers and raise the overall engineering bar
• Influence architecture, tooling, and engineering best practices

Senior Product Engineer

Chief of Staff

• Drive pipeline development to land design partnerships and grow an early stage sales pipeline.
• Build a repeatable discovery to deal workflow, including:
• - Discovery call structure
• - Demo call frameworks
• - Persona-based qualification / disqualification criteria
• - Standardized information capture
• Own weekly lead operations:
• - Evaluate targeted leads and validate and refine weekly lead targets with the CEO.
• - Launch outbound campaigns using multi-channel sequences (email, calls, LinkedIn).
• Build and maintain HubSpot deal tracking, sales stages, and pipeline methodology.
• Ensure excellent CRM hygiene with weekly QA checks.
• Facilitate weekly pipeline reviews with clear visibility into deal flow, bottlenecks, and metrics.
• Develop the end-to-end relationship management process for design partners and prospects.
• Lead launch and ongoing optimization of our digital presence including our website, LinkedIn company page, growth strategy, and posting cadence
• Build a content marketing engine with weekly LinkedIn posts, regular blog posts, and maintain a comprehensive editorial calendar spanning newsletters, blogs, and Videos
• Ensure web leads are captured, prioritized, and integrated with HubSpot, including domain tracking.
• Own creation, project management, and readiness of core marketing and sales assets
• Support sales with fast, accurate responses for:
• - RFPs
• - Vendor security reviews
• - Technical questionnaires / answer banks
• Build a comprehensive annual in-person events strategy (SF, NYC, major metros):
• - Identify relevant cybersecurity conferences, workshops, and community events
• - Evaluate ROI for participation
• - Generate pipeline from event exposure
• - Identify and manage online event opportunities, including webinars, virtual summits, and sponsor slots.
• Support onboarding plans for new hires and contractors.
• Assist with expense management, reimbursements, and budget tracking where needed.
• Occasionally support payroll oversight

Software Engineer

• Design and implement agentic AI systems that reason about large sets of unstructured data
• Ship full-stack features with direct user feedback
• Contribute to the product experience so agents aren’t just smart, but usable and trusted by engineers
• Build systems to automatically evaluate LLM outputs and improve agentic reasoning through self-play and feedback loops
• Construct ML pipelines, including data ingestion, feature generation, embedding stores, RAG pipelines, vector search infra, and graph databases
• Explore and prototype with open-source and frontier LLMs to evaluate tradeoffs
• Build scalable infra to support long-running multi-step agents, including memory, state management, and async workflows
• Participate in everything from company strategy to customer calls to office snacks

Founding Engineer

Field Engineer

• Manage AWS-native services (AWS EC2, EKS, MSK, Lambda, Aurora etc.) and hybrid cloud environments, ensuring high availability for IoT backend systems handling cross-regional data flows.
• Optimize Kubernetes clusters and edge computing infrastructure for real-time IoT telemetry and predictive maintenance use cases.
• Design CI/CD pipelines using Jenkins and GitLab CI, integrating automated testing and deployment for global teams.
• Develop Python/Shell scripts for IoT data validation, log analysis, and cross-region backup solutions.
• Implement data encryption (TLS) and RBAC policies, ensuring GDPR and USA's Cybersecurity Law compliance.
• Conduct security audits for IoT device management systems and API gateways.
• Coordinate with China-based engineering and business teams to align infrastructure with regional requirements.

Cloud & IoT Service Engineer

• Analyze and refine multi step code reasoning trajectories generated from real production repositories.
• Review model generated reasoning sequences
• Identify logical inconsistencies or weak reasoning steps
• Improve trajectory structure to produce stronger, production grade outputs
• Evaluate reasoning quality across different programming environments.

AI Trainer – Code Generation

Data Analyst

• Own OpenArt’s product analytics strategy, including event taxonomy, tracking plans, and data quality
• Partner closely with Product Managers and Engineers to ensure features are correctly instrumented prior to launch
• Analyze funnels, retention, cohorts, and engagement to identify friction points and key activation moments
• Design and evaluate A/B experiments, including defining success metrics and post-launch analysis
• Build and maintain high-impact dashboards that surface North Star metrics and leading indicators of growth
• Conduct deep-dive analyses to understand user behavior, personas, and monetization dynamics
• Communicate insights clearly and concisely, translating data into actionable recommendations
• Establish and promote a strong data culture across the product organization