AI Product Engineering Manager
Jellyfish
full-time
Posted on:
Location Type: Remote
Location: Massachusetts • United States
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Salary
💰 $195,000 - $265,000 per year
About the role
- Lead the engineering team working to transform our platform for the AI Native age. Start with agentic chat, then build the full agentic platform.
- Inspire a culture of curiosity, learning, experimentation and ownership.
- Directly manage engineers on your team and matrix-manage other engineers in the organization as needed.
- Be involved in technical decision making through architecture, design, or code review
- Partner with product managers on team strategy and roadmap
- Collaborate with infrastructure, research and product development teams to align efforts around AI transformation of our product.
- Drive continuous improvement in your team’s process, delivery, and quality
- Work with other engineering leaders on alignment of your team's efforts to overall company strategy
- Actively promote a culture supportive of growth and inclusion
Requirements
- Strong interest or experience building and leading teams developing AI features for SaaS platforms, including shaping team structures and ways of working
- Strong interest or experience building product capabilities on top of LLM technologies
- Ability to communicate clearly and effectively to technical and non-technical audiences, at all levels from peer collaborators to an executive audience or customers.
- Great at asking questions, figuring out what needs to be done, building consensus, and executing
- Love of learning new things and teaching others what you know
- Excited about data, and measuring and quantifying the things that make successful engineering teams
- Must be authorized to work for any employer in the US.
Benefits
- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords
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Hard skills
AI features developmentSaaS platformsLLM technologiesarchitecturedesigncode reviewcontinuous improvementteam strategyproduct capabilitiesengineering processes
Soft skills
leadershipcommunicationcollaborationcuriositylearningexperimentationownershipconsensus buildingexecutioninclusivity