Product Manager

BigTime Software•Chicago, IL

About The Position

BigTime is a PSA platform built for professional services firms. Our customers use BigTime to scope and sell work, staff it, track time and expense, bill their clients, and see where their margin actually comes from. Thousands of consulting, IT, engineering, and accounting firms run their business on the platform. We are building the next generation of that platform, organized into cross-functional pods that own a product surface end to end. This role leads one of the heaviest of them. The Financial Core pod owns the accounting engine underneath the platform: the project accounting subledger, the cost model, revenue recognition, WIP and unbilled balances, period close, and the integrations that tie all of it back to a firm's general ledger. This is the surface a controller reconciles against and an auditor has to accept. When it is right, a firm can confidently run its finances with us. When it is wrong, finance stays in spreadsheets and deals stall in evaluation. The pod carries real demand from day one, and the person leading it will be making calls that shape the platform for years. You will own the roadmap, the specification quality, and the outcome for that surface, working alongside an engineering lead, a designer, and a team of engineers who sit with you. This is also an underlying foundational layer for our next generation, AI-native platform. You will have the opportunity to build something brand new, while leveraging the expertise, data, customer knowledge and codebase from our existing platform.

Requirements

6+ years of product management for the PM level, or 4+ years for the Senior PM level, on a B2B SaaS product with genuine domain depth.
A track record of shipping complex, backend-heavy capability that customers adopted, not just features that launched.
Strong written communication. You can hold a position in a document and change your mind in public when the evidence moves.
Comfort operating with ambiguity and a bias toward getting to a decision quickly.
Experience working directly with engineering on data models and system design, and enough technical fluency to be useful in that conversation.
You work AI-native. AI is part of how you do the job, not a topic you have opinions about. That means pulling signals from several data sources at once, standing up a working prototype yourself instead of waiting on a design cycle, and using AI to draft and maintain PRDs, specs, competitive analysis, and customer research synthesis.
You do not need to have been an accountant, but you do need to understand how firms actually close their books.
Any one of these gets you a conversation: ERP or accounting platform implementation, solution consulting, or solution architecture, where you configured a chart of accounts, revenue recognition, or the close process for real clients.
Product management on a financial product, such as a subledger, revenue recognition engine, billing system, close platform, or reconciliation tooling.
Hands-on accounting or finance operations experience, as a staff accountant, revenue accountant, controller, or in FP&A, with a working command of the general ledger and a move into software already behind you or clearly underway.
The job requires that you understand what belongs in a subledger versus the GL, how percent-complete recognition behaves when the estimate changes, what a period close involves week to week, and why an auditor cares about the difference between an adjusting entry and an edit.
Applicants must be authorized to work in the U.S.

Nice To Haves

NetSuite, Sage Intacct, Microsoft Dynamics, Workday Financials, Deltek, Unanet, and QuickBooks all count.
A CPA, CMA, or accounting degree is relevant and we will weigh it, though none of them is required.
If you have run financial system implementations for years and have less time in a formal product role, we want to see your application.
Background in professional services, consulting, agency, or architecture and engineering firms.
Experience with multi-entity, multi-currency, intercompany, or transfer pricing.
Work on AI or agent-driven features inside an audited or regulated workflow.
You have shipped your own pull requests, or worked with engineering through spec-driven and agentic development where the specification feeds the build directly.
Having migrated customers off a legacy financial system.
Experience with SOC 1 or 2

Responsibilities

Write specifications precise enough that an engineer can build from them and a controller would recognize them as correct.
Spend real time with controllers, CFOs, revenue accountants, and accounting managers at services firms, then turn what you hear into requirements with defensible priority.
Track regulatory and accounting-standard changes on an ongoing basis, and represent their downstream compliance impact in roadmap decisions.
Make the prioritization calls for your surface and defend them with evidence rather than volume.
Partner daily with engineering and design inside and across pods.
Define acceptance criteria, including for agent behavior, and hold the quality line before anything ships to a customer close cycle.
Work closely with Sales, Customer Experience, and Finance so the roadmap reflects what wins deals and what keeps customers.
Own the financial contract other pods build against, and review any feature across the platform that creates or changes financial data.