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About the Role
The Applied AI team is a forward-deployed group of builders focused on identifying and implementing AI solutions that transform business outcomes. This role involves embedding with business teams to rebuild workflows, partnering with engineering on AI tools, and exploring frontier AI capabilities. The position requires a builder-first mindset, with a significant portion of time dedicated to hands-on work.
Responsibilities
- Build and manage a lean team of engineers, setting the standard for AI-native engineering teams.
- Drive go-to-market outcomes such as outbound replies, demos, and closed-won deals.
- Manage a rapid engagement loop with one-week sprints and Friday demos.
- Establish and refine evaluation practices for AI products to ensure a measurable quality bar.
- Select appropriate AI models based on use case maturity, prioritizing frontier models for new applications and cost-effective models for mature ones.
- Partner with DevEx to experiment with and implement new AI working methods across the company.
- Prioritize high-leverage opportunities and maintain a ranked backlog aligned with company objectives.
Requirements
- Shipped agentic systems with real users in the last 12 months, with readiness to discuss architecture, failures, costs, and success metrics.
- Ability to define and measure effective AI team utilization beyond simple license counts.
- A preference for increasing output over headcount, adapting personal and team workflows with AI.
- Over 7 years of software engineering experience, including 2+ years in management within a small team environment that allowed for continued hands-on coding.
- Demonstrated experience as a scrappy generalist with cross-functional skills, including understanding and facilitating adoption of new technologies within sales, marketing, or operations.
- Ability to link engineering efforts to business outcomes like pipeline, revenue, time saved, or costs avoided, and report on them clearly.
- Comfort in establishing processes where none exist and implementing only necessary process for the team.
Skills
- AI
- Agentic systems
- Software engineering
- Engineering management
- Cross-functional collaboration
- Process development
- Data analysis
- Prototyping
- Agent architecture
- Evaluation frameworks
Location
- NYC headquarters
- San Francisco office
Work Type
- In-office 3-4 days per week
- Required attendance on Tuesdays and Thursdays
Experience Level
- 7+ years of software engineering
- 2+ years managing engineers
About the Company
- Genius AI develops technology to automate administrative tasks for local businesses, enabling practitioners to focus on their core work.
- Products like GlossGenius and Reception handle tasks such as booking, marketing, client management, finances, and staff management.
- Genius AI's technology has resulted in significant savings in admin hours, increased revenue for businesses, and facilitated millions of client interactions.
Equal Opportunity
- Genius AI celebrates diversity and is committed to creating an inclusive and empowering workplace.
- Genius AI is an Equal Opportunity and Affirmative Action Employer.