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Forward Deployed Engineer (Remote – US Time Zones)

Speedy Labs
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Hybrid (US Time Zones), RemoteINR 1000k - INR 2000kFull-timePosted 10mo ago

About the role

Remote role in US time zones focusing on engineering, data, and customer outcomes to implement and launch solutions on Speedy’s rebate platform.

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.

Qualifications

  • 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 — you can talk with a CFO about margins and with an engineer about services and queues.
  • 3+ years in a software engineering, data engineering, or implementation engineering role (startup or B2B SaaS experience is a plus).
  • Bonus points for: experience in manufacturing, distribution, wholesale, pharma, or other rebate-heavy industries; prior work with ERPs or revenue/financial systems; comfort with BI tools or dashboards.

Skills

Required:PythonSQLREST APIsETL
Nice to have:Django or similar frameworkAWS
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Speedy Labs

Maximize profits with AI-powered rebate management.

Speedy Labs helps manufacturers and distributors ditch error-prone spreadsheets that cost them millions in missed rebate opportunities for an AI-powered solution that not only tracks rebate payments and their performance but also unlocks insights from their financial data silos that uplifts their bottom-line profit margins. $1 trillion worth of rebates are exchanged every year in North America alone.

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