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Strategic Finance Analyst

Part-time · Fractional · AI cost systems and unit economics.

JurneeGo is building a category-defining, child-safe AI platform that connects children, parents, and teachers through a shared learning experience. We are seeking a Strategic Finance Analyst (part-time) to build and own the financial engine behind the company — not just spreadsheets, but a live decision system that informs product, AI, and growth strategy. This is a fractional role (10–15 hours/week) with the opportunity to transition into a full-time position as JurneeGo scales.

Role objective

Build the JurneeGo Financial Engine

Build and maintain a dynamic financial model that answers one question: “If we change a product or AI decision, what happens to cost, margin, and runway?”

What this role is (and is not)

Strategic, forward-looking, embedded in decisions

This is a builder of decision frameworks — not a passive support function.

Strategic, forward-looking

You build a live decision system, not a backward-looking report.

Embedded in product and engineering decisions

Your modeling shapes real product, AI, and growth choices.

Focused on AI cost systems and unit economics

Token usage, multi-model routing, and cost per user sit at the center.

A builder of decision frameworks

You create the tools the team uses to make calls under uncertainty.

Not accounting or bookkeeping

This is not a ledger, reconciliation, or compliance role.

Not static Excel reporting

The model is dynamic and scenario-driven, not a frozen snapshot.

Not backward-looking finance

You forecast and simulate forward, rather than only explaining the past.

Not a passive support function

You think like an owner and help define how JurneeGo scales.

Core responsibilities

Own the model, the scenarios, and the maintenance

Five areas of ownership, from the primary financial engine to founder and product collaboration.

1. Financial Engine development (primary responsibility)

Build and maintain a dynamic model that includes:

  • User growth (DAU / MAU projections)
  • Query volume per user
  • Token usage modeling (LLM consumption)
  • Multi-model routing (cost optimization across AI providers)
  • Infrastructure cost layers (cloud, guardrails, storage)
  • Cost per user and contribution margin
  • Burn rate and runway

2. AI cost & unit economics modeling

  • Model cost per query across different LLM providers
  • Simulate routing strategies (e.g., basic vs advanced queries)
  • Analyze trade-offs between cost, quality, and safety
  • Identify cost optimization opportunities

3. Scenario analysis (decision support)

Provide clear answers to questions such as:

  • What happens if usage doubles?
  • What if we shift 50% of queries to a lower-cost model?
  • What if monetization is delayed by 6 months?

Deliver outputs in clear, decision-ready formats.

4. Ongoing model maintenance

  • Update assumptions based on real usage data
  • Refine model accuracy over time
  • Track key metrics: cost per user, margin, burn vs runway

5. Founder & product collaboration

  • Work directly with the founder and engineering team
  • Participate in key discussions: AI routing strategy, pricing decisions, and scaling scenarios
Deliverables

A build phase, then an operate phase

Ship a functional engine in month one, then keep it sharp and decision-ready.

Month 1 (build phase)

  • JurneeGo Financial Engine v1: a fully functional dynamic model
  • Scenario toggles (usage, routing, pricing)
  • Clear outputs: cost, margin, runway

Ongoing (operate phase)

  • Weekly or bi-weekly updates
  • Scenario analysis on demand
  • Continuous optimization recommendations
Time commitment

Fractional, flexible, remote-friendly

A part-time engagement that fits around focused, high-leverage work.

  • 10–15 hours per week
  • Flexible / asynchronous work structure
  • Remote-friendly
Compensation

Retainer, performance bonus, and equity

Compensation reflects the strategic, owner-level nature of the role.

Base (part-time retainer)

  • $1,000 – $2,500 USD / month depending on work load.

Performance bonus

10–25% based on:

  • Model accuracy
  • Cost optimization impact
  • Strategic contributions

Equity

  • 0.05% – 0.2% (vesting tied to continued engagement / transition to full-time)
Growth path

A path to Head of Finance

This role is designed to evolve into Full-Time Strategic Finance Lead / Head of Finance.

Trigger points for transition:

  • User growth acceleration
  • Revenue activation
  • Fundraising preparation
  • Increasing complexity in AI cost structure
Ideal candidate profile

What we're looking for

Strong modeling skills paired with systems thinking and comfort in ambiguity.

Required

Finance, FP&A, or strategic finance experience

A track record of building financial understanding, not just reporting it.

Strong modeling skills

Excel, Google Sheets, or equivalent — fluent and fast.

Think in systems, not just formulas

You see how decisions cascade through cost, margin, and runway.

Comfortable in ambiguity and early-stage environments

You make progress before everything is defined.

Preferred (nice-to-haves)

  • Experience in SaaS or tech startups
  • Experience with API-based cost models
  • Experience with AI / LLM-related products
  • Understanding of unit economics and growth modeling
  • Ability to translate complex models into clear insights
Key traits

Thinks like an owner

The mindset that makes this role work.

  • Thinks like an owner, not a task executor
  • Challenges assumptions (including founder assumptions)
  • Focuses on decisions, not just outputs
  • Moves fast and iterates
How to apply

Tell us how you'd model it

Email your application to careers@jurneego.com and please include:

  • Brief background and relevant experience
  • Example of a financial model you've built (if available)
  • Short response to: “How would you model cost per user for an AI product where usage varies significantly by user?”

You won't just track the numbers — you'll define how we scale.

This role sits at the intersection of AI systems, product strategy, and financial decision-making.