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
