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About the Role

Attention is transforming how go-to-market teams operate by turning customer interactions into structured data, insights, and intelligent action. Our AI agents help organizations execute faster, learn continuously, and make every deal cycle more efficient and predictable. We are building AI-native products with an AI-native engineering organization, where engineers and AI agents collaborate throughout the software development lifecycle to build complex software together.

Responsibilities

Lead complex projects from an ambiguous problem through architecture, delivery, and long-term ownership.
Set a high bar for architecture, code quality, and engineering judgment.
Help define how engineers and agents work together across planning, implementation, testing, review, and production operations.
Work closely with product and design to decide what to build and determine the right technical approach.
Develop a deep understanding of our users and bring strong product judgment to technical decisions.
Champion a high-quality user experience across reliability, performance, usability, and craft.
Help evolve products and systems from early traction to broader adoption and greater complexity.
Own the reliability, observability, performance, and maintainability of the systems you build.
Improve the engineering foundations, tools, and agent-driven workflows that help the broader team scale.

Requirements

6+ years of professional software engineering experience.
At least 3 years at a single company, demonstrating sustained ownership and progression.
Experience owning customer-facing workflows.
Meaningful experience helping a product or system scale from 1→N, not only building 0→1 prototypes.
Strong product judgment and a demonstrated sense of engineering and product craft.
Experience leading important technical initiatives and increasing the effectiveness of other engineers.
Strong frontend fundamentals and solid experience architecting and owning backend services, APIs, and data models.
Experience operating production software, including testing, observability, CI/CD, and incident response.
The ability to take an open-ended problem, form a clear technical approach, and execute with limited direction.
Comfort working on-site with the team in New York City.
Passionate about Attention’s mission and deeply empathetic toward our users.
Excited to rethink how software is built in an environment where agents are active participants in the development process.
Comfortable working closely with product, design, leadership, and customers.
Takes responsibility for outcomes, not only assigned tasks.
Holds strong opinions while remaining open to better ideas.
Cares deeply about quality while making pragmatic tradeoffs.
Thrives in fast-moving environments and helps others navigate ambiguity.

Skills

React
Next.js
GraphQL
Go
Postgres
event-driven architectures
Kafka
Temporal
AI-powered products
production LLM integrations
product-led growth
high-growth technology company
migrations
platform improvements
reliability work
team-wide technical initiatives
Tailwind CSS
Kubernetes
AWS
Redis
AWS-native tooling
CI/CD pipelines

Location

New York City

Work Type

On-site

Experience Level

6+ years of professional software engineering experience
3+ years at a single company

Salary/Compensations

Competitive salary

Benefits

Meaningful equity
Your choice of new equipment and software
Health, dental, and vision insurance
High autonomy and ownership from idea through production

About the Company

At Attention, we’re transforming how go-to-market teams operate by turning every customer interaction into structured data, insights, and intelligent action.
Our AI agents help organizations execute faster, learn continuously, and make every deal cycle more efficient and predictable.
We’re trusted by teams at Scale AI, Lovable, BambooHR, Elise AI, Abridge, and hundreds of other rapidly growing companies—and we’re just getting started.
We’re building AI-native products with an AI-native engineering organization.
Internally, we use agents throughout the software development lifecycle—from understanding our systems and shaping implementation plans to generating code, testing changes, investigating issues, and supporting production operations.
This is not about removing engineers from the process. It is about giving exceptional engineers greater leverage and developing new ways for humans and agents to build complex software together.
Engineers remain responsible for architecture, product judgment, quality, and outcomes.
We believe the best AI products will feel deeply human-centered.
Rather than replacing sales representatives, our agents help them answer critical questions and automate manual work.
Our mission is to level up the performance of go-to-market teams through real-time conversational intelligence.
Our team includes seasoned repeat founders and engineers obsessed with building products customers love.
Attention has raised multiple funding rounds and is expanding quickly.