A

ASAPP

SaaS AI agents for customer service

Vice President - FP&A & Finance Engineering

Corporate Finance & FP&APosted on Nov 12
Full-timeNew York, NY, USA$240k - $250k /yr

About the Job

Requirements

  • At least 10 years of experience in FP&A or strategic finance, including at least 4 years leading FP&A at a B2B SaaS or AI company.
  • Ownership experience for a company master model and an annual operating plan through board approval.
  • Go-to-market planning experience covering capacity, quota, sales compensation, and bookings and ARR forecasting, ideally with usage-based or hybrid pricing.
  • Experience running vendor negotiations or a procurement program, with demonstrable savings.
  • A portfolio of finance tools built and shipped, such as agents, skills, automations, or data pipelines, that other people use monthly; candidates will be asked to demonstrate them.
  • Working fluency in SQL and in Python or an AI coding tool such as Claude Code, Codex, or Cursor.
  • Comfort with APIs, ERP and CRM data models, and a data warehouse.
  • Ability to check agent output, catch errors, and stand behind every number presented to the board.
  • Clear, concise writing and board-level communication.

Responsibilities

  • Own the company master financial model, the single source for board, investor, financing, and operating scenarios.
  • Rebuild the master financial model as a driver-based model connected to source systems, including ERP, HubSpot, billing, product usage, and LLM and cloud cost data, with version control and documented change history.
  • Run pricing, hiring, capital, and model-cost scenarios in decision-making meetings.
  • Model customer-level unit economics, including cARR, gross margin after inference and cloud cost, and payback.
  • Own the LLM, cloud, and hosting cost model with Engineering, including monthly spend by vendor and environment, cost per conversation, and gross-margin effects of model and platform changes.
  • Run the annual operating plan end to end, including the calendar, top-down targets, department budgets, headcount plan, and board approval.
  • Move from quarterly reforecasting to monthly and ultimately continuously updated forecasting driven by live bookings, usage, and spend data.
  • Own budget-versus-actual reporting and variance commentary for the SVP Finance, executive team, and board.
  • Run the monthly forecast update with each department head and the headcount plan with HR.
  • Support the company goals program (OKRs) with the leadership team.
  • Partner with the CRO and RevOps on the bookings plan, tracking new-logo bookings, expansion, and cARR separately.
  • Own account executive capacity, ramp, quota, and territory models; sales compensation plan design and economics; and pipeline coverage targets.
  • Support pricing and deal review with deal-level margin and payback analysis.
  • Track go-to-market efficiency, including CAC payback and account executive productivity, and report variances to the CRO within the quarter.
  • Own and automate production of the company weekly KPI and pipeline deck for leadership.
  • Support production of the quarterly board memo, deck, and board package with the SVP Finance and leadership team, from the initial-draft calendar through final review.
  • Produce the monthly investor update and the weekly board metrics file.
  • Support the SVP Finance on financings, including the model, data room, and diligence responses.
  • Run the procurement program, including the renewal calendar, price benchmarks, negotiations, and approvals for new software and services spending.
  • Partner with department heads on tooling and vendor decisions, providing an ROI estimate for each.
  • Use agents for repeatable procurement steps, including renewal alerts, price benchmarks, and first-draft negotiation emails.
  • Build and maintain a shared library of AI agents and skills used by FP&A, Accounting, RevOps, and the SVP Finance office, including BvA and flux commentary drafts, board-pack assembly, bookings-to-cARR bridges, the weekly KPI deck, AWS and LLM cost reports, the procurement renewal calendar, contract margin alerts, and annual-plan budget rollups.
  • Manage each agent as production code with a written specification, test cases against known answers, version control, documentation, and a named owner.
  • Decide what to build, buy, or keep manual, with an ROI estimate for each decision.
  • Spend approximately 30–40% of the time building by writing and shipping agents, skills, SQL, and scripts using tools such as Claude Code or Codex.
  • Train finance and RevOps colleagues to use and extend the agent and skill library.
  • Own the planning tool, finance data layer, and integrations across the ERP, HubSpot, billing, and data warehouse.
  • Publish one metric dictionary for cARR, bookings, gross margin, NRR, and headcount for all agents and reports to use.
  • Build controls into every automated output, including traceability from each number to its source, review and approval gates, and audit-ready evidence.
  • Coordinate with the Controller on SOX readiness.
  • Partner with RevOps on HubSpot data quality for bookings, pipeline, and commission inputs.

Desired Qualifications

  • Engineering, computer science, or data background.
  • Experience modeling LLM inference and cloud cost.
  • Series C or later company experience.
  • Experience with Sage Intacct, HubSpot or Salesforce, and a planning tool such as Adaptive, Pigment, or Anaplan.

About the Company

ASAPP

SaaS AI agents for customer service

ASAPP provides software-as-a-service AI tools to boost customer service. Its main offering is a fully conversational AI voice and chat agent that can transcribe calls, automate call summaries, and generate automated responses to help agents. The product works by running an AI-powered agent in customer service conversations, delivering real-time or post-call transcription, producing summaries, and suggesting or sending automated replies, with the entire system delivered through a scalable subscription model. The company differentiates itself by serving high-volume call centers and service-focused enterprises with an emphasis on efficiency and data-driven insights, backed by ongoing software updates and a suite of productivity tools. Its goal is to improve human performance in customer service, reducing costs, speeding resolutions, and increasing customer satisfaction through AI-assisted processes.

Company size
201-500
Company stage
Series C
Total funding
$380M
Headquarters
New York City, New York
Founded
2014

Recently Posted Jobs

Explore more opportunities at ASAPP

See more jobs