Live opening · Posted 3 days ago

Innovation Analyst

Onni Properties LLC · Vancouver
Workday
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyOnni Properties LLC
LocationVancouver
SourceWorkday
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

Job Description:
There is an exciting opportunity for a Innovation Analyst to join Onni Capital in Vancouver. Onni Capital is a new investment and company building platform within the Onni Group. Operating at the intersection of a venture studio, private equity firm, and family office, we build new companies, invest in exceptional founders, and pursue opportunities where Onni's capital, operating platform, real estate portfolio, and industry relationships create a meaningful advantage. Onni Capital is being built from the ground up with the speed, ambition, and working style of a technology company. Our team works across venture creation, technology, private investments, fund investments, and special opportunities.
This is a forward deployed role. You will use AI to build software, and you will also be the person who sits with the operator whose problem you are solving.
Onni Innovation builds products inside Onni. Valorem, a property valuation and tax appeal platform, came out of this team. So did ScopeCycle, a scope management and procurement tool. More are coming. These are not internal prototypes that die in a demo. They get deployed into operating businesses, sold to external customers, and in some cases spun out as standalone companies.
As an Innovation Analyst, you will find the problem, define it, build the first working version with AI assisted development tools, put it in front of real users, and decide with the team whether it deserves more investment. You sit under Onni Innovation, and you will deploy onto work across Valorem, Panni Consulting, and Onni's operating businesses depending on where you are most useful.
This is a role for someone early in their career who is entrepreneurial, wants to build rather than analyse, and understands that AI tooling means a single motivated person can now do what used to take a team.
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.
Perks & Benefits:
Competitive pay & a Comprehensive Benefits Package.
Benefits include company-paid extended health care, dental care, vision care, life insurance, critical illness, and critical life insurance.
Annual Education Allowance
Generous Referral Program
Fun & collaborative company culture with lots of team building events
Local discounts to restaurants, clothing stores, personal training, and more
Free access to a fully equipped gym
Friends and Family rates for hospitality brands.
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
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
Across the platform
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 modern 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
Commercial judgment. You can connect a user problem to a business case and explain why something is worth building
The ability to talk to people. Much of this job is sitting with an operator who is busy and getting them to tell you what actually slows them down
Clear writing, and the ability to explain a technical idea to an executive without jargon
A bias toward action and comfort making progress with incomplete information
Comfort working in a small, fast moving team where responsibilities change as projects develop
High personal standards for accuracy, quality, ownership, and follow through
Nice to Have
Founder, side project, or startup experience
Experience with tools such as Claude, Claude Code, Codex, Cursor, Linear, Slack, Supabase, or similar platforms
Familiarity with the modern TypeScript and React ecosystem, or with Python
Exposure to real estate, construction, hospitality, financial services, or another asset heavy industry
Experience with product practices such as customer discovery, user stories, and pilot design
Experience integrating LLMs into applications, including prompt engineering and evaluating output quality
What Success Looks Like
Success in this role is not measured by how many ideas you generate, meetings you attend, or prototypes you build. It is measured by whether you can repeatedly turn real business problems into working products and evidence.
Within your first year, you should be able to point to:
Products shipped: You have taken multiple problems from discovery through to a working product used by real people, not just demonstrated internally
Fast validation: You can move from a credible problem to a testable first version in days or weeks rather than months

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