Sr Software Engineer (Backend Focus)

Description

Location: Fully Remote
Time Zone Requirement: Must meaningfully overlap with U.S. Pacific, Mountain, Central, or Eastern time zones
Team: Engineering
Reports To: Head of Engineering

About the Company

We are a venture-backed B2B SaaS company building a new category of AI-driven analytics and coaching software for sales and post-sales teams.

Our platform goes beyond traditional dashboards by uncovering hidden work, revealing true Cost to Serve, and connecting effort directly to outcomes — enabling modern organizations to operate more efficiently and scale with clarity.

Founded in 2022 and backed by institutional funding, we are a small, fast-moving team building high-impact analytics and AI-powered infrastructure for modern businesses.

About the Role

We’re hiring a Backend-Focused Software Engineer to join our core engineering team.

This role is ideal for engineers who enjoy designing backend systems, building reliable integrations, working with data-heavy workflows, and owning features from concept to production.

While your strength will be backend development, this is not a siloed role. You’ll take end-to-end ownership of features — ensuring backend logic connects cleanly to frontend behavior and delivers a complete, production-ready experience.

You’ll help shape the technical foundation of an analytics platform where reliability, scalability, and correctness truly matter.

What You’ll Do

Backend Systems & Architecture

• Design, build, and maintain backend services, APIs, and data models
• Develop scalable systems that support analytics and AI-driven workflows
• Ensure data integrity, correctness, and performance across the platform
• Improve reliability, observability, and maintainability of existing systems

Feature Ownership

• Own features end-to-end, from schema design through delivery
• Collaborate with frontend engineers to ensure accurate UX behavior
• Validate that backend logic surfaces correctly in user-facing workflows

Integrations & Data Pipelines

• Build and maintain integrations with third-party platforms (CRMs, communication tools, internal systems)
• Design resilient ingestion pipelines and background workflows
• Handle edge cases, failures, and data inconsistencies gracefully

Engineering Collaboration

• Participate in architecture and technical design discussions
• Contribute to roadmap planning and technical tradeoff decisions
• Review code and uphold engineering quality standards

Engineering Excellence

• Write clean, testable, production-quality code
• Continuously improve performance, scalability, and system health
• Operate comfortably in a fast-moving, evolving codebase

What You Bring

Required Experience

• 4–6 years of professional software engineering experience
• Strong backend experience in production environments
• Proven ability to ship features independently
• Solid understanding of APIs, databases, schema design, and performance tradeoffs
• Experience working within an existing production codebase
• Comfort operating in small teams with evolving architecture
• Strong problem-solving skills and ownership mindset

Technical Stack Experience

Experience with some or all of the following:

• Ruby on Rails
• PostgreSQL
• TypeScript
• React (for light frontend contribution)

(You do not need to be an expert in every tool — strong backend fundamentals matter most.)

Nice to Have

• Experience working with analytics pipelines or large datasets
• Familiarity with Python and AI/ML-adjacent services
• Experience with cloud infrastructure (GCP preferred)
• Exposure to background jobs, queues, and event-driven systems
• Experience integrating with third-party APIs (CRMs, communication platforms)
• Prior early-stage startup experience
• Interest in AI- and data-driven product development

What This Role Is Not

• Not a frontend-only role
• Not a DevOps-only role
• Not a narrow ticket executor

This is a backend-heavy senior IC role with real product ownership.

Why Join

• End-to-End Ownership: Own features from backend logic to production impact
• Meaningful Technical Problems: Work on analytics, data modeling, and AI-adjacent systems
• Early-Stage Influence: Help shape architecture and engineering practices
• Product-Driven Culture: Engineers actively influence roadmap decisions
• Small, High-Caliber Team: Low bureaucracy, high trust, high impact
• Long-Term Growth: Expand responsibility as the platform and team scale

Equal Opportunity

We are an equal opportunity employer and are committed to building a diverse, inclusive, and respectful environment for all team members.