Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $180,200–$252,300 / yr
- Posted
- 8 days ago
- Freshness
- Confirmed live today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 57% of similar roles. Most pay $151,950–$235,487 — the blue band above. At the midpoint, this role pays about $216k versus about $194k for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has 89 open roles on FindRole.
Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.
Most-posted roles
- Software Engineer 27
- Machine Learning Engineer 10
- Product Manager 8
- Data Scientist 7
- Backend Engineer 3
At a glance
TL;DR · Senior Forward Deployed Engineer, AI Enablement
The Senior Forward Deployed Engineer (AI Enablement) joins the AI Platform team to transform artificial intelligence into practical solutions for internal business functions like Sales, Marketing, Business Development, and Finance. This role involves identifying business problems and owning the engineering lifecycle from discovery through production launch. You will build AI applications, agents, skills, connectors, and workflow automations that improve operational quality, speed, capacity, and cost. Key responsibilities include translating ambiguous needs into technical delivery plans, prototyping quickly, and integrating approved data, tools, and APIs into safe workflows. Required skills include 5+ years of software engineering experience, hands-on agent development, LLM retrieval, structured outputs, and enterprise integrations using MCP. You will also manage cloud deployment, observability, evals, and failure analysis to ensure reliable production quality.
What does a Forward Deployed Engineer earn?
Median $219575 from 46 postings across 19 companies.
Skills
What you'll do
- Build AI applications, agents, skills, connectors, and workflow automations to solve business problems.
- Translate ambiguous business problems into AI-native workflows and technical delivery plans.
- Prototype solutions within days and productionize priority workflows within weeks.
- Integrate approved data, tools, APIs, and actions into safe end-to-end workflows.
- Define evals, review gates, human-in-the-loop controls, and observability for production systems.
- Launch trusted production workflows with governance, support, and clear ownership.
- Transfer maintainable workflows to function owners to reduce long-term team dependency.
- Convert local wins into reusable agents, templates, connectors, and platform patterns.
What we're looking for
- 5+ years of experience building software, including AI applications, agents, automations, or internal tools.
- Strong engineering fundamentals and production judgment to translate ambiguous business needs into technical solutions.
- Hands-on experience with agent development, including tool/API use, orchestration, state management, and failure handling.
- Experience with enterprise integrations using MCP or comparable tool integration patterns.
- Experience with LLM retrieval and structured outputs.
- Proficiency in AI operations, including cloud deployment, access controls, observability, evals, and failure analysis.
- Clear technical and non-technical communication skills to explain tradeoffs and incorporate feedback.
- Experience with enterprise business systems, internal tools, or embedded delivery (preferred).
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