Staff Software Engineer (Backend)

This is a remote position.

Staff Software Engineer (Backend)

About  us: We are backed by a recent $3.8 million investment from top silicon valley investors, we're on a mission to unlock the full potential of developers.

We have a flexible, work-from-home friendly, style of operation with an on site office that is optional.  

Our office is dog friendly, has unlimited snacks & drinks, flexible working hours (get out for the pow day!), and lots of rock climbing & skateboarding. 

We also offer competitive healthcare benefits and a 401k program.

At Patterned Learning AI, we are committed to being a fun, groundbreaking, and inclusive place to work. We strongly encourage engineers from all community and traditionally underrepresented backgrounds to apply

Our proprietary AI technology, developed by a small but mighty team from Stanford, Harvard, and the IITs, and backed by leading investors in Silicon Valley, is not just another tool; it serves as the foundation of a groundbreaking sales workflow that delivers exceptional outcomes for our users. With 99%+ retention and 20x growth to $1.2M ARR last year, our customers' enthusiasm speaks for itself.

We're seeking an exceptional backend engineer to architect and build the core systems powering our AI-first sales platform. As a key technical leader, you'll shape the foundation of our seller co-pilot system, working at the intersection of large-scale backend architecture and AI infrastructure. This is a rare opportunity to own mission-critical systems that are transforming how B2B sales teams operate.

What You'll Be Doing: 

Design and implement scalable, production-grade backend services that power our AI co-pilot features using Python/Go

Architect simple and elegant event-driven systems leveraging AWS services to handle real-time AI processing and sales workflow automation

Build robust data pipelines and APIs that handle real-time AI processing and sales workflow automation

Drive technical strategy for major initiatives that unlock new AI capabilities for our users

Design and implement core infrastructure components that other engineers will build upon

Set technical standards and best practices for backend development

Mentor other engineers and contribute to building a strong engineering culture

Use modern developer tools like Cursor and CoPilot to maximize engineering productivity

 Who You Are: 

Deep expertise in building production-grade backend systems with Python/Go, with strong experience in designing distributed event-driven systems

Adept at product-first thinking and rapidly translating product capability requirements into robust backend systems

Extensive hands-on experience with AWS services, cloud-native development, and service-oriented architecture

Demonstrated history of delivering high-impact engineering solutions that drive significant business results within tight deadlines

Comfortable with ambiguity and capable of defining technical paths for projects with well-defined outcomes

Bias for action and ability to move fast while maintaining high-quality standards

A strong communicator able to collaborate effectively with both technical and non-technical stakeholders

 Qualifications: 

5+ years of professional software engineering experience, with at least 3 years in senior/staff roles architecting backend systems

Expert-level proficiency in Python/Go, with prior experience building production-grade distributed systems leveraging generative AI

Strong track record designing and optimizing systems using MongoDB, PostgreSQL, and Redis at scale

Advanced degree (MS/PhD) in Computer Science or related fields strongly preferred

Proven track record of delivering multiple complex backend systems or features as an individual contributor

Proven ability to architect elegantly simple yet highly scalable systems, anticipating evolving requirements in dynamic environments

Experience with cloud platforms (AWS preferred) and containerization technologies, with a focus on rapid deployment and scaling

Exposure to or experience with B2B products is highly preferred

A proven track record of thriving in early-stage startup environments, showing resilience and flexibility in the face of uncertainty

Applicants for this job

207 Applicants

9 Applicants in the past day

Applicant seniority level

57% Senior level applicants

34% Entry level applicants

2% Manager level applicants

1% CXO level applicants