Lead Forward Deployed Engineer (AI Enablement)

• As a Lead Forward Deployed Engineer, you will own the vision for how applied AI solves business problems at Reddit. You will identify where AI can create the most value, set technical direction, and turn that vision into production capabilities that improve how the company works across its business and technical functions like Sales, Marketing, Business Development, and Finance
• This is an opportunity to shape a growing engineering practice with impact across Reddit. Working with business leaders and the AI Platform team, you will define priorities, challenge assumptions about existing workflows, and guide investments in AI applications, agents, and automations. Your decisions will connect emerging AI capabilities to measurable improvements in quality, speed, capacity, and cost
• This is a senior technical leadership role with room to influence strategy, grow others, and build lasting capabilities across the company. Your impact will come from the business problems you help Reddit solve and the teams you make more effective
• You will also lead through delivery: organizing the work of engineers, mentoring engineers and technical leads, and establishing the architecture and engineering practices that help teams ship reliable solutions. You will remain hands-on in the most consequential work, using what you build and learn to shape shared capabilities that other teams can adopt
• Build AI applications, agents, skills, connectors, and workflow automations that solve business problems at Reddit
• Translate ambiguous business problems into AI-native workflows and technical delivery plans
• Work closely with internal functions, embedding where needed to understand their work and build trust with champions, builders, and subject matter experts
• Understand function goals, jobs to be done, workflows, systems, data, and success measures
• Prototype within days and productionize priority workflows within weeks when feasible
• Integrate approved data, tools, APIs, and actions into safe end-to-end workflows
• Define evals, review gates, human-in-the-loop controls, observability, and evidence
• Launch trusted production workflows with governance, support, reversibility, and named owners
• Transfer maintainable workflows to function owners and reduce long-term dependency on the team
• Return repeated needs, blockers, and infrastructure requirements to the AI Platform Hub
• Turn local wins into reusable agents, skills, templates, connectors, playbooks, and platform patterns
• Stay current with advances in AI models, agents, tools, and deployment practices; translate promising capabilities into Reddit’s AI strategy, roadmap, and investment priorities
• Set the vision and technical direction for applying AI to business problems across Reddit; partner with business leaders and AI Platform to prioritize opportunities and scale measurable value
• Organize and sequence engineers’ work, clarifying ownership, dependencies, and milestones; build shared capabilities that improve delivery
• Mentor engineers and technical leads through design and code reviews, strengthening applied AI, system design, evals, and production judgment

Benefits

• Comprehensive health benefits
• Flexible vacation & Reddit global days off
• Family planning funds & 4+ months paid parental leave
• Personal & professional development funds
• Paid volunteer time off
• Workspace & home office benefits
• Ability to build trust with business stakeholders and establish clear decisions, responsibilities, and success measures
• Experience integrating APIs, data systems, enterprise tools, and workflow actions
• 8+ years building software, including automations, workflows, AI applications, agents, or internal tools
• Experience with MCP, reusable tool integrations, and enterprise identity and access patterns
• Ability to prioritize ambiguous opportunities and communicate technical, business, and operational tradeoffs
• Strong software engineering fundamentals and production judgment; ability to work through ambiguous business and technical discovery
• Demonstrated technical leadership and product judgment through architecture decisions, reviews, mentoring, and influence across teams
• Experience creating a component, engineering practice, or architectural pattern adopted beyond your own project
• Hands-on experience building and deploying AI agents, including tool use, orchestration, state, and failure handling; production LLM experience with retrieval, structured outputs, evals, monitoring, and controls
• Experience in applied AI, forward-deployed engineering, internal platforms, or enterprise workflow modernization
• Experience improving engineering practices across a team or multiple teams
• Experience delivering business-critical workflows with auditability, sensitive data, or consequential automated actions
• Experience measuring workflow gains in quality, speed, capacity, or cost
• Experience driving AI adoption through user feedback, onboarding, and training