
201 - 500 funcionários
Fundada em 2008
💼 Consultoria
📣 Marketing
📦 Logística
Consulting • Marketing • Logistics
A Host Analytics Inc. é uma empresa focada em fornecer soluções abrangentes de gestão de desempenho financeiro através de sua plataforma, Planful. A plataforma oferece uma gama de capacidades, incluindo planejamento, orçamento, previsões e tomada de decisões financeiras aprimoradas por IA e aprendizado de máquina. Ela atende a uma variedade de funções empresariais, como finanças, marketing, contabilidade, recursos humanos, vendas, TI e operações. A Host Analytics Inc. visa guiar as empresas em direção ao crescimento com rapidez, insights e confiança, transformando a maneira como o planejamento financeiro e operacional é realizado. Sua plataforma garante a confidencialidade dos dados, colaboração em tempo real e escalabilidade, capacitando as equipes a tomar decisões informadas e impulsionar o sucesso financeiro.
🕒 Ontem
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $200.000 - $300.000 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
Fundada em 2008
💼 Consultoria
📣 Marketing
📦 Logística
Consulting • Marketing • Logistics
A Host Analytics Inc. é uma empresa focada em fornecer soluções abrangentes de gestão de desempenho financeiro através de sua plataforma, Planful. A plataforma oferece uma gama de capacidades, incluindo planejamento, orçamento, previsões e tomada de decisões financeiras aprimoradas por IA e aprendizado de máquina. Ela atende a uma variedade de funções empresariais, como finanças, marketing, contabilidade, recursos humanos, vendas, TI e operações. A Host Analytics Inc. visa guiar as empresas em direção ao crescimento com rapidez, insights e confiança, transformando a maneira como o planejamento financeiro e operacional é realizado. Sua plataforma garante a confidencialidade dos dados, colaboração em tempo real e escalabilidade, capacitando as equipes a tomar decisões informadas e impulsionar o sucesso financeiro.
• Own customer rollouts end to end — data integration, model build-out, validation, and production cutover — as the primary technical owner. • Build AI-driven automated test harnesses to validate every new product release against real customer use cases and models, catching regressions before they reach customers. This is a critical function of the role: you'll use AI to generate, run, and evaluate test cases at scale across diverse customer configurations. • Build and maintain data integrations between customer source systems (ERP, GL, data warehouses) and our platform, treating them as durable, version-controlled engineering deliverables rather than throwaway scripts. • Translate real-world requirements in financial and operational modeling into correct, performant models on the platform. • Diagnose and resolve data, performance, and correctness issues — often deep in SQL, source data, and consolidation logic. • Ship bug fixes and feature extensions directly against the platform — make targeted product changes to unblock customers and close gaps surfaced in the field, rather than only filing tickets and waiting on core engineering. • Act as the feedback loop to product and engineering: surface friction, propose fixes, and where warranted, build them. • Partner with customer stakeholders across finance and operations, earning trust as someone who understands their domain and can make the software do what they need
• 10+ years in software engineering, with meaningful time spent on or around an EPM/CPM/financial planning product. • Direct experience with a platform such as OneStream, Vena, Prophix, Anaplan, Planful, or TM1/ Planning Analytics — as an engineer, solutions architect, or technically deep implementer. • Proficiency in a modern application language — Java, C#, or TypeScript — with the ability to read, extend, and ship changes in a production codebase. • Experience building automated test frameworks or harnesses, ideally using AI or LLM-based approaches to generate, execute, and evaluate test cases at scale. • Strong SQL and database fundamentals: schema design, query performance, joins and aggregation semantics, and reasoning about data at scale. • Integration experience with ERP/GL systems and data warehouses (e.g., NetSuite, SAP, Oracle, Snowflake, BigQuery). • A customer-facing disposition — you can run a working session, absorb domain nuance, and communicate clearly with finance stakeholders who don't think in code. • Sound judgment on correctness and auditability: you understand that in financial systems a wrong number is worse than a slow one. • Understanding of financial consolidation, multi-entity / multi-currency, allocations, or driver-based planning. • Domain exposure to CPG or manufacturing operational planning. • Experience with AI-assisted or AI-native tooling in a production data context. • A track record of turning repeated customer pain into product improvements.
• Equity • Benefits • Wellbeing resources
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