C10 Labs

Data Scientist

• Build the Core AI System (0 → 1)
• Design and develop AI/ML systems for diagnostics, anomaly detection, and decision support
• Work with time-series, sensor data, text, and operational data in real-world environments
• Build and deploy models into production, not just prototypes
• Turn Data into Intelligence
• Transform telemetry, manuals, work orders, and engineering documents into actionable insights
• Develop systems for root-cause analysis, predictive maintenance, and knowledge capture
• Contribute to multimodal AI systems that combine structured and unstructured data
• Work Across Product & Engineering
• Partner closely with product and engineering to ship quickly and iterate
• Help define what to build, not just how to build it
• Support early pilots tied to real customer outcomes (diagnostics, uptime, efficiency)
• Lay the Foundation for Scale
• Establish best practices for model development, evaluation, and deployment
• Contribute to explainability, reliability, and system performance
• Help shape the future data science function and roadmap

Lead Data Scientist

Growth Marketing

• Lead ekai commercialization efforts, exciting time to lock in our first 12-15 customers.
• Develop and execute a comprehensive growth strategy aligned with company vision and product roadmap.
• Identify and prioritize high-impact customer segments and use cases.
• Build and lead demand generation, digital marketing, and outbound sales initiatives.
• Own the end-to-end customer journey, from awareness to adoption and expansion.
• Collaborate with product and engineering to ensure market fit and customer feedback loops.
• Establish and manage partnerships with cloud data platforms, analytics vendors, and industry influencers. Brand & Thought Leadership.
• Position the company as a thought leader in semantic layers, data contextualization, and AI-powered analytics.
• Represent the company at industry events, webinars, and in the media.
• Define and track KPIs/OKRs for growth, including pipeline velocity, customer acquisition cost, and revenue targets.
• Report directly to the co-founding team (CEO + CAIO) and board on growth performance and strategic initiatives.

Director of Growth

Artificial Intelligence

• Own the Build (0 → 1)
• Take full ownership of the company from early concept to initial product
• Translate the PRD into a clear roadmap, milestones, and execution plan
• Drive rapid iteration with users and design partners
• Lead Product & Execution
• Work directly with C10 Labs’ engineering team building the platform
• Set priorities, define features, and ensure high-velocity execution
• Act as the bridge between product, technical execution, and customer needs
• Be hands-on in product decisions (this is not a delegation role)
• Engage Customers & Define the Market
• Work closely with early design partners (funds, investors, biotech stakeholders)
• Run customer discovery and shape the product around real workflows
• Define the initial wedge into the market and expansion strategy
• Fundraise & Build the Company
• Lead early fundraising (target: initial SAFE within ~3–6 months)
• Develop the investor narrative, pitch, and financial model
• Build relationships with investors and strategic partners
• Recruit early team members as the company scales

Entrepreneur in Residence – Biotech AI Venture

• Advise founders developing AI-enabled biotech and therapeutics startups
• Help evaluate and shape technical and scientific strategies for early-stage companies
• Provide guidance on AI model development and deployment in biological contexts
• Support teams working on areas such as drug discovery, protein modeling, genomics, and experimental design
• Collaborate with C10 venture partners and LabCentral leadership to identify promising scientific and commercial opportunities
• Share expertise through technical sessions, workshops, and office hours with cohort founders
• Help assess technical feasibility, scientific risk, and data strategy in AI-driven life sciences companies
• Stay connected to the broader AI, biotech, and academic research communities

AI BioHub Fellow

Financial Planning and Analysis

• Develop and implement operational strategies, working closely with the portfolio companies to help them achieve their objectives
• Collaborate with the managing partners to contribute insights for long-term planning for the studio based on your understanding of the AI market and emerging trends
• Support strategy by creating budgets and organizational designs
• Identify opportunities to streamline and improve operational processes to enhance efficiency and reduce costs across the portfolio
• Establish and monitor key performance indicators (KPIs) to assess the effectiveness of operations and the opportunities for growth and scalability
• Implement data-driven, decision-making processes to drive improvements that can be repeatable across the portfolio
• Identify and mitigate operational risks
• Cultivate and manage relationships with portfolio company leadership teams and the broader investor community, fostering connections between the groups as relevant
• Source opportunities for fund investments

Lead Data Scientist

Director of Growth

Entrepreneur in Residence – Biotech AI Venture

AI BioHub Fellow

Investment Intern