Venture Studio Intern

Location: Toronto preferred; remote OK (ET hours) Type: Unpaid, part-time or full-time internship (for-credit preferred) Team: Jumping Tree Capital — Venture Studio (portfolio across assistive robotics, industrial automation, new-product incubation, evidence-based DTC health, private-pay telehealth, and alcohol-free/functional beverages) Why this role exists Jumping Tree Capital runs a hands-on venture studio building and scaling multiple startups in parallel. This is not a pure finance internship. You’ll split your time between decision-grade analysis and sleeves-rolled-up company building. One day you’re mapping unit economics and cash runway; the next you’re testing a landing page, calling suppliers, or documenting an SOP so a team can move faster tomorrow. What you’ll do Company building: Stand up scrappy experiments (no-code tools, simple landing pages, surveys), source vendors, request quotes, chase timelines, and document processes so they’re repeatable. Market & customer work: Run quick research sprints, competitor teardowns, pricing scans, and stakeholder interviews; synthesize into clear “so what” briefs and recommendations. Financial modeling (targeted, decision-driven): Build runway and sensitivity models, unit economics by channel, cohort logic for DTC, and simple payback/IRR views for go/no-go calls. Ops scaffolding: Help set up lightweight systems (Notion/Airtable/Sheets), clean pipelines, and write SOPs so teams can scale without chaos. Content & GTM support: Draft first-pass copy for landing pages or outreach, help with deck updates, and package results into concise memos. AI as a force multiplier: Use modern AI tools to research, prototype, summarize, draft, generate visuals, analyze data, and automate repetitive tasks (e.g., building small Zapier/Make automations, using LLMs to create first-pass briefs/models, evaluating outputs with a critical eye). Owner’s work: Do what’s needed next—book freight, QA a demo, wrangle a dataset, or call distributors to sanity-check assumptions. Example projects you might touch Assistive robotics for aging-in-place/care settings: Validate distribution economics, model Robotics-as-a-Service pricing, compile regulatory and installer requirements. Industrial automation for manufacturing/surface prep: Time-and-motion ROI model for robotic deployments; pilot customer pipeline hygiene and sales ops. New-product incubation (early-stage/stealth): Market sizing and “wedge” analysis; design first experiments to test demand signals rapidly. Evidence-based DTC health & longevity brand: CAC/LTV sandbox, subscription churn sensitivities, creative testing dashboards, and funnel instrumentation. Private-pay telehealth clinic network (U.S.): Clinic-level P&Ls, state-by-state compliance checklist, referral partner mapping, and intake funnel optimization. Alcohol-free/functional beverage initiative: COGS and pricing ladder, distributor conversations, and small-batch launch planning. You’ll thrive here if you are Builder-first: Bias to action; you prototype before you pontificate. AI-native: You regularly find, test, and apply the latest AI tools to the task at hand, and you know when not to trust the output. You can show prompts/workflows that saved time or improved quality. Analytical & crisp: Comfortable in Excel/Sheets; you translate numbers into decisions without fluff. Resourceful: You Google, you call, you figure it out, and you document what works. Clear communicator: Short memos, sharp slides, strong notes; you keep leaders unblocked. Tool-curious: Comfortable learning Notion/Airtable, basic no-code stacks (Zapier, Typeform, Webflow/Shopify), and data/AI helpers. Professional with hustle: You hit deadlines, respect stakeholders, and handle ambiguity without drama. Minimum qualifications Progress toward a BA/BS (business, engineering, comp sci, design, or similar) or a sharp non-traditional path with evidence of building. Fluency in Excel/Google Sheets (INDEX-MATCH/XLOOKUP, pivot tables, scenario analysis). Evidence of shipping: a project, startup, research lab role, student org, hackathon output, or meaningful work experience. Comfort speaking with customers, suppliers, and partners on the phone. Practical AI experience: Demonstrable use of LLMs/AI tools to accelerate real work (e.g., a workflow, automation, or analysis you built). Nice to have (not required): Basic SQL or Python; Shopify or Webflow experience; Figma; Canadian/US healthcare or CPG familiarity; industrial/robotics curiosity. Responsible AI & data hygiene We work with sensitive materials. You’ll follow simple rules: redact confidential data before using external tools, prefer approved/org accounts where provided, cite sources, and log AI-assisted steps for reproducibility. What you’ll get A front-row seat to real company building across multiple sectors. Direct exposure to founder-level decision making and the “why” behind it. A portfolio of concrete deliverables (models, memos, experiments) with your name on them. Strong mentorship, fast feedback cycles, and references for standout performers. Logistics Location: Toronto strongly preferred for periodic in-person work; remote considered. Schedule: Flexible; align on availability upfront. Compensation: Unpaid; priority to candidates seeking academic credit or formal co-op placement. Duration: Flexible; typical terms range from 8–16+ weeks. How to apply 1) Email redacted with: 2) Resume or LinkedIn, 3) A short note (≤300 words) on a time you built something end-to-end, OR 4) A quick Loom (≤3 minutes) or annotated screenshots of an AI workflow you built (what tool(s) you used, your prompt/automation, and a before/after of the output). Compliance note: The internship is listed as unpaid and is intended for students receiving academic credit or meeting relevant program/exemption criteria.