Job Description

Salary Range:

Why Onni Capital

You will not be handed a ticket queue. You will be handed a business problem and expected to come back with something working. The distance between you and the decision is short. The person whose workflow you are fixing is in the building or a phone call away. You can ship on Tuesday and watch someone use it on Wednesday. Onni's portfolio is a genuinely rare testing ground. Development, construction, property management, hospitality, finance, and investment businesses all sit inside one group, all with real operational problems and real budgets. Products get measured against actual revenue and actual cost, usually within weeks. Some of what you build will scale into a business. Some will be shut down quickly when the evidence does not support it. Both outcomes are the process working, and neither reflects badly on you. The path from here is real. Analysts on this team are expected to grow into product and engineering ownership, move into a portfolio company as an operator, or keep building inside Onni Capital.

How We Work

Onni Capital is being designed as a high ownership, low bureaucracy team. We work in small project groups, test ideas quickly, put early products in front of users, and make decisions based on evidence rather than hierarchy. Team members are expected to:

- Challenge assumptions and communicate directly
- Take responsibility for outcomes, not simply produce recommendations
- Use modern AI tools to work faster and produce better results
- Share unfinished work early and improve it through feedback
- Move comfortably between strategic analysis and hands on execution
- Know when to continue investing in an idea and when to stop




- Operate effectively without a detailed playbook

This is not a role for someone who wants months of consensus building, a rigid job description, or a narrowly defined set of responsibilities. It is for someone who learns quickly, takes initiative, enjoys solving ambiguous problems, and wants to help build something from the ground up.

What You Will Do

Find and define the problem

Work directly with operators, tenants, customers, and internal teams to understand workflows and find where time, money, or accuracy is being lost

Translate what you learn into a clear problem statement and a product specification someone can act on

Size the opportunity in terms that matter: revenue, operating cost, hours saved, cycle time, risk reduced

Build working software using AI assisted development tools, specifically Claude Code, as a core part of your daily workflow

Ship a first version fast, put it in front of real users, and iterate on what you learn rather than on what you assumed

Integrate with existing systems, external APIs, and third party services where the product needs it

Hand validated products to the engineering team for hardening into production systems, and stay involved through that transition

Own the outcome, design and run structured pilots with named users, defined success metrics, a deadline, and clear criteria for continuing or stopping





Onboard the first users personally, train them, and stay close enough to hear what is not working

Track adoption, feedback, revenue, cost, and measured impact after launch

Support go to market for products that graduate, including pricing, positioning, and early customer acquisition

Present what you built, what happened, and what you recommend directly to senior leadership

Deploy onto Valorem, Panni Consulting engagements, or portfolio company work as priorities shift

Research markets, competitors, technologies, and vendors to determine what should be built, bought, partnered, or ignored

Document what you build, why you built it that way, and what you learned, so the team gets faster over time

Contribute to internal product reviews, demonstrations, and Onni Capital events

What You Bring

- Interest in business, engineering, computer science, product, economics, or a related field.
- Strong new graduates will be considered.
- Evidence you have built and shipped something real. A product, a company, a prototype, an automation, an analytical tool, a community, or a side project with actual users. What you built matters more than where you studied.
- Daily, fluent use of contemporary AI tools, including AI assisted development environments such as Claude Code, with the judgment to know when to trust output and when to verify it.
- Working technical literacy. Comfort with APIs, data structures, SQL, basic scripting, and automation tools, or a demonstrated ability to learn technical systems quickly.
- Genuine entrepreneurial instinct. You look at a broken process and want to fix it rather than complain about it

📌 Innovation Analyst (Vancouver)
🏢 Onni Group
📍 Vancouver