# Senior Forward Deployed Engineer at Planful

> Remote · North America · Senior · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Ahostanalytics%3A8632986002 (read 2026-11-10).

## Facts (observed)

- Company: [Planful](https://alderhq.app/companies/planful)
- Location text: Remote, North America; Remote (North America)
- Where it can be done from (inferred): Remote · North America (evidence: "Location: Remote, North America; Remote (North America)")
- Posted: 2026-07-27 (105 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://planful.com/jobs/careers-list/?gh_jid=8632986002
- Skills listed (inferred): TypeScript, Java, C#/.NET, Snowflake, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### About the Role

As a Forward Deployed Engineer, you own the technical success of a customer's rollout end to end — from initial data integration through modeling, validation, and go-live — and you feed what you learn directly back into the product. This is not a services or implementation-consulting role: you write code, you own integrations as engineering artifacts, and you work shoulder-to-shoulder with customers to get a next-generation planning platform into production. You should be as comfortable in a customer's data warehouse tracing a reconciliation discrepancy as you are in a working session with their FP&A team explaining why a consolidation is behaving the way it is. The strongest candidates have worked inside EPM/CPM products before and understand how they behave in the real world.

### What You'll Do

- 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
### What We're Looking For

- 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.
### Why this Role

You'll be an early member of the Forward Deployed Engineering team, working on an AI-native platform at the point where it meets real customers and real data. What you learn in the field shapes what we build next — your work lands in production and in the product.

### Why Planful

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ahostanalytics%3A8632986002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.