Lead Infrastructure Engineer

Company Size: 100

Our client is transforming how go-to-market teams operate by turning every customer interaction into structured data, insights, and intelligent action. Its AI agents help organizations execute faster, learn continuously, and make deal cycles more efficient and predictable. Trusted by teams at Scale AI, Lovable, BambooHR, Elise AI, Abridge, and hundreds of other rapidly growing companies.

The company takes a human-centered approach to AI, using agents to empower sales teams while automating manual work. The engineering team is building out its NYC presence as a small, high-caliber product engineering team, with direct access to the CPO, a flat collaborative structure, and significant investment in internal tooling and developer efficiency.

Role Description

Year of Experience: 6 – 8 years preferred; 5 – 10 years acceptable

Scope of Role

Technical anchor on the new NYC team and one of two tech leads, with an infrastructure/backend lean. Owns architecture and high-impact projects from ambiguity through production while remaining hands-on as an IC.

1. Shape architecture for the AI agent platform powering 100+ sales teams
2. Own and ship complex distributed systems in Go, Kubernetes, and AWS
3. Mentor 7–8 FDEs transitioning into developers
4. Review PRs and raise the engineering floor
5. Own a flagship feature within 6 months
6. Solve complex architectural problems beyond junior engineers and AI tooling
7. Work directly on customer-facing product engineering
8. Interview Stages
9. 4 after screening: Technical Assessment, VP of Engineering Interview, On-site Interview, Final Conversation

MUST HAVE SKILLS

1. Deep production-scale distributed systems expertise
2. Go proficiency — primary stack language
3. Tech lead/engineering lead experience with hands-on coding
4. Architectural ownership in B2B/product engineering
5. 3+ years at one company
6. Product engineering bias; customer-facing instincts
7. AI-forward tooling mindset
8. High ownership / builder mentality
9. Strong mentorship instinct
10. Side projects or builder track record
11. Strong product intuition
12. NYC in-person, 5 days/week

Nice to Have Skills

1. Conversational AI, sales workflows, CRM integrations, call analytics, or revenue intelligence
2. Temporal workflow orchestration
3. Kubernetes and AWS
4. Tech lead experience at a Series A-D startup shipping B2B enterprise products

In Office

New York, NY

Soho/NoHo – Lower Manhattan, New York, NY