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About the Role

Lead one to two delivery pods, which are cross-functional teams building voice AI for restaurants. Own team health and output, including hiring, coaching, and growth. Ensure predictable delivery and system reliability. Responsibilities include 1:1s, career conversations, cycle planning, design reviews, unblocking dependencies, and addressing production issues. Manage a team of 5-8 engineers across backend, platform, and applied AI, distributed between the US and Brazil. Partner with product managers, conversation designers, and customer-facing teams. Improve execution frameworks and contribute to technical discussions without daily code writing.

Responsibilities

Own the health and output of your teams: hiring, coaching, and growing engineers.
Run a delivery rhythm that ships predictably.
Ensure reliability for critical restaurant operations.
Conduct 1:1s and career conversations.
Perform cycle planning with product partners.
Conduct design reviews.
Unblock cross-team dependencies.
Address production issues when needed.
Manage a team of 5-8 engineers across backend, platform, and applied AI, distributed across the US and Brazil.
Partner closely with product managers, conversation designers, and customer-facing teams.
Work within and improve execution frameworks.
Review designs and code.
Participate in architecture discussions.
Build a high-functioning team with concrete growth plans and regular feedback.
Address underperformance early, directly, and fairly.
Make team delivery predictable by meeting cycle commitments and surfacing risks early.
Balance feature delivery with reliability, on-call health, and technical debt.
Own the operational health of systems built by your teams.
Run strong, calibrated hiring loops and onboard new engineers effectively.
Partner with Product to shape scope and sequencing.
Help engineers understand the business context of their work.
Create a healthy team culture across time zones with effective rituals.
Set clear expectations for responsible AI-assisted development.
Track AI tooling's impact on quality and delivery speed.

Requirements

3+ years managing software engineering teams (direct reports, hiring, performance management).
5+ years of prior hands-on software engineering experience.
Track record of owning delivery outcomes for a team: planning, estimation, prioritization, and shipping predictably in a fast-moving product environment.
Experience hiring and growing engineers, including building career development plans and handling underperformance with clarity and care.
Strong technical judgment in backend or distributed systems.
Ability to review designs, challenge trade-offs, and guide decisions without becoming a bottleneck.
Experience managing distributed or remote teams, ideally across time zones or countries.
Excellent written and verbal communication skills.
Ability to deliver difficult messages (performance, priorities, change) with clarity and care.
AI fluency: actively use AI tools and have a point of view on responsible AI adoption.
Experience with conversational AI, real-time voice, telephony, or LLM-powered products (preferred).
Experience at a startup or growth-stage company (preferred).
Familiarity with Google Cloud Platform (preferred).
Experience partnering closely with Product and Design in a pod or squad model (preferred).
Interest in the restaurant and hospitality domain (preferred).

Skills

Engineering Management
Team Leadership
Hiring
Coaching
Performance Management
Delivery Management
Product Partnership
Design Review
Dependency Management
Production Support
Backend Engineering
Platform Engineering
Applied AI
Distributed Systems
Technical Project Planning
Code Review
Architecture Discussion
Career Development
Underperformance Management
Planning
Estimation
Prioritization
Shipping Predictably
Reliability
On-call Health
Technical Debt Management
Operational Health
Observability
Hiring Loops
Candidate Closing
Onboarding
Scope Shaping
Sequencing
Business Context Understanding
Team Culture Building
Distributed Team Collaboration
Psychological Safety
Responsible AI Development
AI Tooling
Conversational AI (preferred)
Real-time Voice (preferred)
Telephony (preferred)
LLM-powered Products (preferred)
Startup Experience (preferred)
Growth-stage Company Experience (preferred)
Google Cloud Platform (preferred)
Product Partnership (Pod/Squad Model) (preferred)
Design Partnership (Pod/Squad Model) (preferred)
Restaurant Domain Knowledge (preferred)

Location

New York City, hybrid (3 days a week in our NYC office)

Work Type

Hybrid
Full-time

Experience Level

Manager
Senior

Salary/Compensations

$190,000 – $211,000

Benefits

Competitive salary and equity package
Comprehensive benefits including health, dental, and vision insurance
Professional development opportunities
Some flexibility in hours to overlap with teammates in Brazil

About the Company

Slang AI uses AI and audio technology to make voice transactions enjoyable and efficient for businesses and consumers.
The company aims to save businesses and consumers 1 billion minutes by 2030 and transform voice channels into the preferred communication mode.
The team has backgrounds from companies like Spotify, BuzzFeed, the New York Times, and OpenTable.
The company culture prioritizes product and human-centered design, fostering constant learning and growth.
Engineering Values: Start Less, Finish More; Teamwork & Collaboration; Alignment & Communication; Quality & Craft.
Company Values: AI Native; Overachiever Fever; Humility Ability; Be a Good Host.