Speedy Brand, Inc. · 1 month ago
Forward Deployed Engineer (Remote – US Time Zones)
United States
Full-time
Remote
Entry, Mid Level
$1,000K/yr - $2,000K/yr
3+ years expSpeedy Labs helps manufacturers and distributors optimize rebate management with AI-powered solutions. The Forward Deployed Engineer will work closely with customers to design and implement integrations on the rebate platform, ensuring successful project delivery and customer satisfaction.
Artificial Intelligence (AI)ContentGenerative AISEO
No H1B
Responsibilities
Lead technical onboarding and implementations for new customers, from discovery calls through go-live
Design and build integrations between Speedy and customer systems (ERPs, CRMs, data warehouses, rebate trackers) using APIs, webhooks, and scheduled jobs
Configure the Speedy platform to reflect each customer’s rebate programs, contracts, and workflows, including data models, rules, and reporting
Build and maintain Python scripts/services for data ingestion, transformation, validation, and reconciliation
Work directly with customer stakeholders (Finance, Pricing, Procurement, RevOps) to translate fuzzy requirements into clear specs and implementation plans
Debug gnarly issues across data, configuration, and code — logs, SQL, notebooks, whatever it takes to get to root cause
Collaborate with our core product and backend teams to harden and generalize patterns from customer projects into reusable platform features
Create implementation playbooks, runbooks, and internal tooling so the next deployment is smoother than the last
Act as the voice of the customer internally, feeding structured insights back into product discovery and roadmap
Qualification
Required
1+ years of experience in a software engineering, data engineering, or implementation engineering role
Strong coding skills in Python (Django or similar framework experience is a plus)
Solid knowledge of SQL and relational databases (PostgreSQL preferred)
Experience working with REST APIs (GraphQL a plus) and integrating third-party systems
Hands-on experience with data workflows: ETL pipelines, CSV/Excel imports, data validation, and schema mapping
Familiarity with cloud infrastructure (AWS preferred) and modern deployment practices (Docker, CI/CD, basic observability)
Ability to map messy real-world business processes into structured data models and system behavior
Excellent communication skills
Comfortable writing complex joins, debugging data issues, and reasoning about schemas
Preferred
3+ years in a software engineering, data engineering, or implementation engineering role (startup or B2B SaaS experience is a plus)
Experience in manufacturing, distribution, wholesale, pharma, or other rebate-heavy industries
Prior work with ERPs or revenue/financial systems
Comfort working with BI tools or dashboards
Company
Speedy Brand, Inc.
SpeedyLabs.AI - Unlock growth and profitability in your rebate deals with AI.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$2.5M2023-07-07Pre Seed· $2.5M
Leadership Team
Jatin Mehta
Co-Founder
Company data provided by crunchbase