Drivetrain

Integrates cross-department data for real-time BI

Solutions Consultant - FP&A, Product Implementation

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

A background as a certified public accountant or significant experience in financial planning and analysis or corporate finance is strongly preferred.
Understand the three financial statements, revenue recognition, and driver-based planning.
Have a track record of building financial models, not just presenting slides, and enjoy translating messy spreadsheets into clean, multidimensional models.
Have working knowledge of how data is stored and structured, including schemas, dimensions, and cubes, and understand how data granularity and hierarchy management affect system performance.
Have deep modeling experience in at least one major enterprise performance management product, such as Adaptive Insights, Anaplan, TM1/Planning Analytics, Planful, Vena, Jedox, Abacum, or Runway; understand multidimensional planning mechanics.
Be able to engage C-level executives with business acumen, empathy, and the technical authority to recommend solutions.
Be comfortable troubleshooting data integrations and presenting strategic roadmaps in a fast-paced startup environment.
Have a BA/BS degree in Finance, Accounting, Information Systems, or a related field.
A certified public accountant or chartered accountant designation is highly preferred.
Have 3 or more years of experience in enterprise performance management implementation, sales engineering, or technical finance roles.

Responsibilities

Partner with Account Executives and Data Analyst teams to architect data structures, build complex financial models, and demonstrate Drivetrain’s value to CFOs and finance leaders.
Design, model, and configure proof-of-concepts and pilot implementations within Drivetrain to solve specific financial pain points.
Advise CFOs and VPs of Finance, translating requirements in financial planning and analysis, consolidation, and scenario planning into robust technical logic.
Use data architecture knowledge to design scalable data models and guide prospects in structuring financial and operational data, including enterprise resource planning, customer relationship management, and human resources information systems data, for optimal platform performance.
Lead technical workshops to define business logic, map data flows, and build customized models live to demonstrate the platform’s value.
Conduct technical discovery sessions to identify limitations in prospects’ current architecture, such as rigid spreadsheets or legacy enterprise performance management systems, and map a modern, data-driven planning infrastructure.
Provide Product and Engineering teams with detailed implementation feedback on backend data handling, modeling flexibility, and calculation engine performance based on client scenarios.

Desired Qualifications

A background as a certified public accountant or significant experience in financial planning and analysis or corporate finance.
A certified public accountant or chartered accountant designation.

Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably.

Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms.

Drivetrain provides a great culture for its employees to thrive in and be happy.

💜 Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust our people.

🗣️ Open & transparent: We know that when our creators have access to all the information they need, their best work will emerge.

👏 Idea-friendly: We provide an environment to explore new ideas, to take risks, to make mistakes, and to learn, so you can succeed. Anyone in the company can come up with great ideas and become a catalyst for positive change. We let the best ideas win.

👥 Customer-centric: We follow a product-led growth strategy, continuously learning from our customers and collaborating to build the amazing software that Drivetrain is.

About the role

At Drivetrain.ai, we don’t just sell a vision; we build it. We are looking for a Solutions Consultant who is technically adept and financially fluent to partner with our Account Executives and Data Analyst teams. In this role, you will go deep into the "how"—architecting data structures, building complex financial models, and demonstrating the tangible value of Drivetrain to CFOs and Finance leaders.

What You’ll Do

Architect & Build Solutions: Move beyond high-level strategy to hands-on execution.

You will design, model, and configure proof-of-concepts and pilot implementations within Drivetrain to solve specific financial pain points.

Serve the Office of the CFO: Act as a trusted advisor to CFOs and VPs of Finance. You will translate their complex business requirements—from FP&A and consolidation to scenario planning—into robust technical logic.

Data Architecture & Integration: Leverage your exposure to data architecture to design scalable data models. You will guide prospects on how to best structure their financial and operational data (ERP, CRM, HRIS) for optimal performance within Drivetrain.

Technical Workshops: Lead deep-dive technical workshops where you define business logic, map data flows, and build customized models live to prove the platform’s value.

Strategic Discovery: Conduct technical discovery sessions to uncover the limitations of a prospect’s current architecture (e.g., rigid Excel sheets, legacy EPMs) and map out a modern, data-driven planning infrastructure.

Cross-Functional Feedback: Act as the "voice of the implementation" to Product and Engineering, providing detailed feedback on backend data handling, modeling flexibility, and calculation engine performance based on real-world client scenarios.

Who You Are

Finance Background (CPA Preferred): You speak the language of finance fluently. A background as a CPA, or significant experience in FP&A/Corporate Finance, is strongly preferred.

You understand the nuances of the three financial statements, revenue recognition, and driver-based planning.

Implementation Heavy: You are not afraid to get your hands dirty with data. You have a track record of actually building models, not just presenting slides. You enjoy the puzzle of translating a messy spreadsheet into a clean, multidimensional model.

Data Architecture Exposure: You have a working knowledge of how data is stored and structured (Schemas, Dimensions, Cubes). You understand the implications of data granularity and hierarchy management on system performance.

EPM Expertise: Deep modeling experience in at least one major EPM product is required (e.g., Adaptive Insights, Anaplan, TM1/Planning Analytics, Planful, Vena, Jedox, Abacum, Runway, etc.). You understand the mechanics of multidimensional planning.

Business Acumen: You can command a room of C-level executives. You possess the empathy to understand their stress points and the technical authority to prescribe the cure.

Agile & Technical: You are comfortable in a fast-paced startup environment where you may need to troubleshoot a data integration one hour and present a strategic roadmap to a CFO the next.

Qualifications

BA/BS degree in Finance, Accounting, Information Systems, or related field.

CPA or CA designation is highly preferred.

3+ years of experience in EPM implementation, Sales Engineering, or Technical Finance roles.

Sounds exciting? Apply to us at [email protected]

Sounds exciting? Apply at [email protected]. It may just be the next best decision you’ve ever made!

About the Company

Drivetrain

Integrates cross-department data for real-time BI

Drivetrain.ai offers a data platform that helps businesses streamline operations by integrating data from multiple departments (sales, marketing, HR, and customer success) into a single view. It enables real-time access to data and reporting, moving away from delayed monthly reports. The platform also provides a financial model template to plug in actuals and generate projections. Pricing is subscription-based, with revenue generated from customers using the platform. How it works: the platform connects and unifies data from various sources, then delivers dashboards, reports, and insights that support decision-making across teams. It emphasizes ease of use and real-time data access to serve as a strategic partner for sales and marketing teams. Goals: help businesses make data-driven decisions, improve cross-department collaboration, and provide forecasting tools to support financial planning.

Company size: 51-200
Company stage: Series A
Total funding: $15M
Headquarters: Bengaluru, India
Founded: 2021

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