Acasia · 1 day ago
VP of Business Operations
Acasia is building the Acasia AI Cloud and is seeking a VP of Business Operations to lead the BizOps/Analytics function. This role involves owning company data, designing executive dashboards, and conducting high-leverage strategic analysis to guide executive decisions.
Computer Software
Responsibilities
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
Design and maintain executive dashboards (weekly/monthly): 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
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
Lead deep dives on the biggest questions in the business: 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
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
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)
Qualification
Required
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
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
Preferred
Prior early BizOps/Strategy hire in a fast-moving startup/scale-up
Experience supporting board reporting and fundraising (metrics, diligence, investor narratives)
Company
Acasia
The next decade belongs to AI software — and inference.
Funding
Current Stage
Early StageCompany data provided by crunchbase