VP of Business Operations

Role Summary

Acasia is hiring a VP of Business Operations to be the central nervous system of the company — owning our data, dashboards, operating model, and high-leverage analysis that guides executive decisions. You will build and lead the BizOps / Analytics function and turn messy reality into clear, actionable insight.

Compensation:
Salary: $175-200k

OTE: $300k

About the Company

Acasia is building the Acasia AI Cloud: a universal compute layer that connects the world’s GPU infrastructure to the builders shaping the future of AI. AI progress is bottlenecked by compute access and complexity — GPUs are scarce, fragmented, expensive, and provisioning/orchestration is still “HPC-hard.” The next decade belongs to AI software — and inference at scale.

We are building the first-ever global GPU distribution system, vertically integrated with our AOS platform (orchestration, policy, governance), so developers can run inference workloads reliably and cost-effectively across heterogeneous environments.

We’re early enough that your decisions will show up in the company’s DNA. You’ll help define how we operate, measure success, and scale.

Reports to: COO (heavy interaction with CEO & CCO)
Team: Start as a player-coach; grow a small BizOps/Analytics team over time.

What You’ll Own

1) Company Data & Single Source of Truth

Own the company data model and definitions across both sides of the platform:
Supply: GPU providers, nodes/clusters, regions, capacity, availability, utilization, reliability/SLA, cost inputs.
Demand: developers/customers, workloads, deployments, usage, inference throughput, latency/error rates, revenue.
Stand up and maintain the analytics/data stack (warehouse, ETL/ELT, BI) with engineering support as needed.
Implement data governance + quality checks so leadership trusts every number they see.

2) Dashboards, Reporting & KPIs

Design and maintain executive dashboards (weekly/monthly) that reflect this business:

Supply health: onboarded capacity, active capacity, utilization %, availability, downtime, provider concentration risk.
Inference performance: throughput (tokens/sec or requests/sec), latency, success rate, incident trends, SLO/SLA attainment.
Unit economics: gross margin per GPU hour / per inference unit, blended COGS inputs, take rate (if marketplace-like), CAC/payback where measurable.
GTM funnel: pipeline → pilots → production workloads; time-to-first-workload; activation and expansion.
Runway: burn, cash forecast, scenario sensitivity tied to utilization + pricing.

Run the weekly metrics review: highlight trends/anomalies and what actions you recommend — not just what the numbers are.

3) Financial Forecasting & Planning

Partner with Finance to build and maintain the operating model that matches a GPU distribution + orchestration business:
Usage-based revenue and pricing scenarios
COGS and contribution margin tied to GPU supply economics (pricing, utilization, failure rates, regional mix)
Headcount + operating expenses + runway
Run scenario analysis tied to the real drivers:
What if utilization increases by X?
What if GPU input costs move ±Y?
What if inference workloads shift mix (latency tiering / premium SLAs)?
What if we onboard a major supply partner or lose one?
Support budgeting and quarterly planning: translate strategy into numbers and resourcing.

4) High-Leverage Strategic Analysis

Lead deep dives on the biggest questions in the business, such as:

Which customer segments / workload types are healthiest for inference (reliability needs, gross margin, expansion)?
What are the binding constraints right now: supply, orchestration reliability, pricing, onboarding friction, or sales cycle?
Where are we leaking margin (underutilization, overpaying for supply, over-provisioning, incident-driven credits)?
What pricing + packaging best matches “universal compute layer” + “AOS orchestration” value?

Evaluate new initiatives (pricing, partnerships, new product surfaces in AOS/Cloud) with business cases + measurable success criteria. Support board/investor materials with clean metrics and narratives.

5) Cross-Functional Program Leadership

Drive company-wide initiatives that cut across teams (pricing rollouts, supply onboarding motions, pilot-to-production playbooks, operational process changes).
Create and operationalize standard rhythms: weekly business review, monthly business review, quarterly planning.
Translate exec strategy into concrete roadmaps, owners, timelines — then track execution.

6) Build & Lead the BizOps / Analytics Function

Hire and mentor analysts and BizOps generalists over time.
Define standards for analysis quality, documentation, and communication.
Build a culture where decisions are data-anchored but grounded in field reality (customers, supply partners, product constraints).

What Success Looks Like

In 3–6 Months

A single source of truth exists for capacity, utilization, inference performance, and unit economics, and leadership trusts it.
The exec team uses a simple weekly dashboard that reflects the actual drivers of the AI Cloud + AOS business.
A working operating model exists with base/upside/downside scenarios tied to utilization + pricing + supply economics.
You’ve delivered 2–3 high-impact analyses that directly change how we price, where we sell, or how we onboard/structure supply.

In 6–12 Months

Every department runs on a scorecard tied to OKRs with clear owners and targets.
Major strategic decisions (pricing, hiring, GTM bets, supply strategy, infra investment) are backed by your scenarios + recommendation.
We have a reliable planning cadence (quarterly planning, monthly review) that you orchestrate.
You’ve started building a small, high-performing BizOps/Analytics team.

Skills & Tools

Analytical & Technical

Strong Excel / Google Sheets modeling (can build and stress-test a revenue + unit economics model from scratch).
Comfortable with SQL and working directly with data (or willing to ramp fast).
Hands-on experience with a modern BI tool (Looker/Mode/Tableau/Power BI).
Familiarity with warehouse + ELT concepts (Snowflake/BigQuery/Redshift, dbt, Fivetran) is a plus.

Business & Communication

Sharp business intuition: connects metrics to the real world and spots what moves the needle.
Executive presence: can push back, simplify, and make calls with incomplete information.
Clear written + verbal communication: can turn dense analysis into a one-page story with a recommendation.
Highly organized: can run complex cross-functional programs without dropping balls.

Nice-to-Haves

Experience in AI infrastructure, GPUs, inference, cloud marketplaces, HPC-adjacent operations, or developer-first platforms.
Prior early BizOps/Strategy hire in a fast-moving startup/scale-up.
Experience supporting board reporting and fundraising (metrics, diligence, investor narratives).

Pay: $175,000.00 - $200,000.00 per year

Benefits:

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Work Location: Remote

Acasia Operations, Inc.

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