Product Manager, Ecosystem

FloQast•San Jose, CA

About The Position

FloQast is at the forefront of the accounting industry, providing an AI-powered Accounting Transformation Platform created by accountants, for accountants. We are dedicated to revolutionizing how accounting and finance teams work, enabling them to move beyond manual, tedious tasks and into a strategic, advisory role. By leveraging our groundbreaking, auditable AI Agents and purpose-built solutions, we empower teams to streamline their financial close, enhance compliance, and achieve a new level of transparency and accuracy. Our mission is to help accountants reclaim their time, simplify their work, and ultimately shape the future of their profession. Come join us! You will own ecosystem integration priorities end to end: researching source systems, defining integration requirements, mapping data into FloQast's data platform, and working across Product, Alliances, Engineering, and Services to get integrations into production. You should be comfortable going deep on data schemas and connectivity patterns, and equally comfortable presenting the business case for an integration or explaining its value to a customer.

Requirements

3+ years of experience in data integration, technical implementation, solutions consulting, analytics engineering, data migration, or a similar hands-on technical role.
Working proficiency in SQL, Python, and scripting, with direct experience building or working with data pipelines, APIs, or ETL workflows.
Advanced Excel skills and comfort working with large structured and semi-structured files - CSV, TSV, and Excel-based data exports.
Experience analyzing source system schemas, understanding data relationships, and designing mappings for downstream consumption.
Strong cross-functional communication skills and the ability to work effectively across customers, partners, Engineering, Product, Implementation, and Customer Success.
Comfort operating in ambiguity and moving quickly without close oversight.
A practical, ownership-oriented mindset with a bias toward getting working integrations into production.

Nice To Haves

Familiarity with ecosystem source systems relevant to accounting workflows: subledgers and billing platforms, banks and treasury systems, payroll providers, or T&E platforms.
Working knowledge of accounting and financial data - enough to recognize when balances, hierarchies, or data relationships do not make business sense.
Experience in a model-driven or metadata-driven data platform where source data is mapped, normalized, and published into reusable application-ready models.
Product management experience, or experience working closely with product teams to translate technical integration knowledge into requirements and roadmap decisions.

Responsibilities

Define ecosystem integration priorities: evaluate which source systems deliver the most customer value, and align the integration roadmap with product strategy and partnership goals.
Evaluate source systems - subledgers and billing platforms, banks and treasury systems, payroll providers,, T&E platforms,, and others - understanding their data schemas, connectivity patterns, and relevance to FloQast accounting workflows.
Drive the technical definition of integrations: connectivity approach (sFTP, API, data sharing), source data structure, mapping requirements, and how data flows into FloQast's canonical data models via the Data Platform.
Map source data into FloQast's canonical schemas using FloQast’s Data Studio, ensuring data is accurately normalized and ready for use across FloQast applications.
Build source system playbooks and workflow guidance so customers and implementation teams extract value from integrations faster.
Align with Product and Alliances teams on ecosystem priorities, partnership opportunities, and integration roadmap sequencing.
Support GTM teams with the story of FloQast-ecosystem value: what each integration unlocks, what customer problems it solves, and how it extends the platform.
Collaborate with Engineering, Data Migration Engineers, Implementation, Customer Success, and Support to turn integration designs into working, production-grade data flows.
Provide N-tier support for customers during onboarding and ongoing operations, troubleshooting integration, mapping, and data issues.
Scale integration patterns and documentation so new source systems can be onboarded faster and more consistently over time.