Staff Backend Engineer

Architect and scale the core systems behind our managed data agents

Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise.

As a Staff Backend Engineer, you will lead the technical direction of our Scala + Python data and agent infrastructure. You'll own long-term architecture across multiple systems and scale both existing and greenfield services to keep our data fresh, our APIs fast, and customer workflows moving. This is a role for someone who wants to set the bar for technical excellence, mentor other engineers, and take responsibility for hard distributed systems problems with minimal safety nets and a small, senior team.

What You'll Do

• Design and build resilient backend services and APIs
• Own high-level system architecture and major technical decisions across multiple systems
• Oversee critical data pipelines from ingestion to enrichment to delivery
• Architect systems for 100x data growth over the next three years
• Lead major cross-team initiatives and complex project delivery end to end
• Partner with ML leaders on model integration and agent architecture
• Build reliability and test coverage into the code itself with no separate QA layer
• Improve performance, scalability, and observability across our stack
• Mentor engineers through direction, feedback, and day-to-day support
• Raise the engineering bar through design reviews, pairing, and clear technical standards
• Optimize for real impact, customer outcomes, and fast iteration over theoretical perfection
• Use next-gen AI tools to improve code quality and velocity

You Might Be a Fit If...

• 8+ years building and operating complex, production backend systems
• Deep experience with high-throughput, large distributed systems
• Strong experience with Scala, Python, or functional / JVM languages
• Comfortable with distributed systems, data modeling, and high-volume pipelines
• History of providing technical coaching and direction to senior engineers
• Experience introducing new technologies and patterns across the team
• Enjoy greenfield work: from first principles design to deploy and monitoring
• Thrive without heavy process, QA buffers, or endless safeguards
• Ship, measure, refine over over-architecting, build foundations when needed
• Motivated by solving real user problems, not just abstract puzzles
• Excited to work where AI/ML is deeply embedded in the product, not bolted on

Why Boam AI

• Join a no-politics, high-trust, low-ego, and high-talent team
• Own mission-critical systems used by top-tier enterprise customers
• Work directly with founders and the Head of Engineering on problems that matter
• High autonomy, real impact, and clear ownership from day one
• Operate at the intersection of AI, data infrastructure, and enterprise workflows
• Top-tier compensation with meaningful equity upside
• Help build the platform, patterns, and engineering culture you can be proud of

Our Hiring Process

Our process is fast, structured, and transparent, built to respect your time and surface real mutual fit

1. Intro Call:
A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions.

2. Deep Dive:
Walk us through past engineering work, systems you've led, and how you think about complex, ambiguous backend and architecture problems.

3. Work Sample:
Solve a real Boam-style technical and architecture challenge that shows your system design, technical judgment, and execution muscle.

4. Founder / Leadership Conversation:
Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you'd help us scale the platform and the team.

Apply between Dec 15, 2025 and Jan 10, 2026. After Jan 10, we'll review all applications and quickly invite the candidates we'd like to take forward.