Confluent

2 months ago

Principal Engineer, Engineering AI Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Strategic, hands-on technical leader driving Confluent’s internal agentic AI capabilities and automated decisioning systems to boost R&D productivity. Partners across Engineering, Security, and IT to scale AI usage, augment developers, automate routine tasks, and orchestrate AI-driven workflows that unlock new usage patterns and measurable value.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and evangelize the AI and agentic flows strategy — aligning business metrics, engineering needs, and platform opportunities
•Build a roadmap for introducing agentic automation features, smart assistants, and AI-driven workflows across all aspects of engineering
•Identify and resolve bottlenecks across the entire product and software development life cycle
•Partner with Engineering, Trust and Security to integrate AI capabilities responsibly and at scale
•Operationalize AI adoption internally and share use cases externally; drive complex cross-team projects requiring multi-stakeholder alignment; raise the bar for code/architectural quality across engineering
•Lead the delivery of core agentic workflows that improves productivity across engineering; balance 60% execution and 40% strategy setting; drive measurable adoption of AI tooling
•Define and adopt governance, ethical frameworks, guardrails, and quality metrics for AI behavior and automated flows; define KPIs (AI-driven usage lift, automation ROI)
•Participate in external forums and evolve as the technology landscape shifts; write internal playbooks for building and scaling agentic outcomes

Pay and Benefits

Salary: USD 285,000 - 342,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years driving strategic productivity initiatives, ideally in SaaS/Cloud platforms or developer tools with some proven experience in AI initiatives
•Proven expert in building distributed systems and the infrastructure to support them
•Strong leadership: ability to lead cross-functional teams and influence senior stakeholders without direct authority
•Hands-on experience with AI/ML platforms, including LLM integration and workflow automation, with governance
•Ability to tie technical efforts directly to business KPIs (adoption, retention, revenue impact) and communicate impact clearly

Experience:8+ yearsSaaSCloudDeveloper toolsAILLMDistributed systems

Skills:CommunicationLeadershipProblem-solvingCross-functional collaboration

Languages:English

Tech Stack:LLMAIDistributed systemsWorkflow automation

Company Brief

Confluent

Provides a cloud-native data streaming platform built on Apache Kafka that enables organizations to harness real-time data for event streaming, analytics, and AI applications across hybrid and multi-cloud environments.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Unicorn (USD 1B+)

Funding: IPO / Publicly Listed

Headquarters: Mountain View, United States

Founded: 2014

Glassdoor: 3.6

Website LinkedIn Glassdoor

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Confluent

2 months ago

Principal Engineer, Engineering AI Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and evangelize the AI and agentic flows strategy — aligning business metrics, engineering needs, and platform opportunities
•Build a roadmap for introducing agentic automation features, smart assistants, and AI-driven workflows across all aspects of engineering
•Identify and resolve bottlenecks across the entire product and software development life cycle
•Partner with Engineering, Trust and Security to integrate AI capabilities responsibly and at scale
•Operationalize AI adoption internally and share use cases externally; drive complex cross-team projects requiring multi-stakeholder alignment; raise the bar for code/architectural quality across engineering
•Lead the delivery of core agentic workflows that improves productivity across engineering; balance 60% execution and 40% strategy setting; drive measurable adoption of AI tooling
•Define and adopt governance, ethical frameworks, guardrails, and quality metrics for AI behavior and automated flows; define KPIs (AI-driven usage lift, automation ROI)
•Participate in external forums and evolve as the technology landscape shifts; write internal playbooks for building and scaling agentic outcomes

Pay and Benefits

Salary: USD 285,000 - 342,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years driving strategic productivity initiatives, ideally in SaaS/Cloud platforms or developer tools with some proven experience in AI initiatives
•Proven expert in building distributed systems and the infrastructure to support them
•Strong leadership: ability to lead cross-functional teams and influence senior stakeholders without direct authority
•Hands-on experience with AI/ML platforms, including LLM integration and workflow automation, with governance
•Ability to tie technical efforts directly to business KPIs (adoption, retention, revenue impact) and communicate impact clearly

Experience:8+ yearsSaaSCloudDeveloper toolsAILLMDistributed systems

Skills:CommunicationLeadershipProblem-solvingCross-functional collaboration

Languages:English

Tech Stack:LLMAIDistributed systemsWorkflow automation

Company Brief

Confluent

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Unicorn (USD 1B+)

Funding: IPO / Publicly Listed

Headquarters: Mountain View, United States

Founded: 2014

Glassdoor: 3.6

Website LinkedIn Glassdoor