Senior Engineering Manager, Applied AI

Genius AI (HearstLab); New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Genius AI (HearstLab) is seeking an Engineering Manager, Applied AI to lead a lean team of engineers and deploy AI-driven solutions across the business. You will partner with product, sales, marketing, and other functions to drive measurable go-to-market outcomes and set the standard for AI-native engineering practices.

You’re a strong fit if you have 7+ years of software engineering experience, 2+ years managing engineers while staying hands-on, and a track record of delivering agentic AI

Qualifications

• 7+ years of software engineering experience.
• 2+ years managing engineers while remaining hands-on in code.
• Experience building and shipping agentic AI systems is a plus.
• Ability to measure AI effectiveness beyond adoption metrics.

Responsibilities

• Build and lead a team of engineers, setting AI-native practices.
• Drive GTM outcomes by partnering across Engineering, Sales, Marketing, Finance, Legal, and People.
• Run weekly sprints, demos, and clean handoffs to keep partners aligned.
• Establish evaluation practices for measurable quality and safe development.
• Select AI models and iterate with frontier models as use cases mature.
• Collaborate with DevEx to codify new standards and documentation.

Skills

Software engineering

Team leadership

Cross-functional collaboration

AI/ML

Metrics & KPI reporting

Business collaboration

Hands-on coding

Job description

Genius AI is seeking an Engineering Manager, Applied AI to join our team and help transform how we work by building and deploying AI-driven solutions across the business. You will lead a lean team of engineers, drive measurable go-to-market outcomes, and set the standard for what an AI-native engineering team looks like.

Responsibilities will include:

• Build and lead a team of engineers, setting the bar for AI-native engineering practices
• Drive measurable go-to-market outcomes by partnering across Engineering, Sales, Marketing, Finance, Legal, and People to prioritize a company-aligned backlog anchored to pre-agreed metrics and executive-trusted readouts
• Run a tight engagement loop with intake, one-week sprints, Friday demos, and clean handoffs to ensure partner teams own what was built and Applied AI can focus on the next challenge
• Establish evaluation practices to ensure every AI product team has a measurable quality bar for safe, rapid development
• Select and route to the right AI models, using frontier models for new use cases and more efficient models as use cases mature
• Collaborate with DevEx to experiment with and implement new ways of working, turning successful experiments into shared standards and documentation

You’re a great fit if you:

• Have personally built and shipped agentic systems with real users in the last 12 months and can discuss the architecture, challenges, costs, and outcomes
• Can articulate how to measure AI effectiveness beyond adoption metrics, with a clear opinion on the right metrics and their limitations
• Prefer to grow output rather than headcount, and have raised your team’s expectations through AI-driven changes in workflow
• Have 7+ years of software engineering experience, including 2+ years managing engineers while remaining hands-on in the code
• Are a scrappy generalist with cross-functional instincts, having worked closely with sales, marketing, or operations teams to drive adoption of new solutions
• Tie engineering work to business outcomes such as pipeline, revenue, time saved, or cost avoided, and report on them clearly
• Are comfortable building lightweight processes as needed and adapting quickly to change

Additional Information:

• This role requires regular in-office attendance (3–4 days per week) at our NYC or San Francisco office, with required presence on Tuesdays and Thursdays
• Genius AI is an Equal Opportunity and Affi…
• Genius AI may use AI tools to assist in evaluating applicants’ qualifications, always with human oversight in final hiring decisions