Senior Engineering Leader for AI & Real-Time Data Systems

nectar-social; United States; Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Early equity

Health, vision & dental + 401(k)

ClassPass membership

Hybrid schedule: 4 days in office + 3远

Job summary

Nectar is seeking a senior engineering leader with a strong product mindset to lead and scale our core engineering teams. You will manage software engineers and tech leads building high-throughput systems that ingest large volumes of social data, run real-time AI agents, and deliver insights through analytics and automation.

You will bridge technical execution with product strategy, foster a high-performing engineering culture, and help guide teams as we scale from ~50 people into the next

Qualifications

• 7+ years of software engineering experience with 3+ years of people management.
• Proven track record recruiting, onboarding, and developing engineers and tech leads.
• Ability to align technical execution with product goals and milestones.
• Strong written and verbal communication bridging technical and non-technical teams.

Responsibilities

• Directly manage and grow a team of Software Engineers and Tech Leads.
• Partner with Product Managers, Designers, and engineering leadership to translate roadmaps into plans.
• Oversee high-volume real-time data systems and AI agentic workflows.
• Establish and refine agile practices, sprint planning, and delivery processes.
• Track delivery velocity, reliability, and code quality metrics.
• Collaborate with Customer Success and Sales to ensure business value.
• Hire and onboard exceptional engineering talent to expand teams.

Skills

Software engineering

People management

Team growth

Product alignment

Technical decision making

Tools

AWS

Postgres

ClickHouse

Job description

Nectar is seeking a senior engineering leader with a strong product mindset to lead and scale our core engineering teams. You will manage software engineers and tech leads building high-throughput systems that ingest large volumes of social data, run real-time AI agents, and deliver insights through analytics and automation.

You will bridge technical execution with product strategy, foster a high-performing engineering culture, and help guide teams as we scale from ~50 people into the next