Software Engineering Manager – AI Product Development

CommandLink

19d

About The Position

We’re hiring a Software Engineering Manager to lead a growing engineering team building and scaling AI-powered products in a capital-efficient, high-growth environment. This role is accountable for delivering product capabilities that drive ARR growth, customer expansion, and adoption, while maintaining strong discipline around cost, margins, and return on engineering investment.

You’ll own execution for a critical product area with direct revenue impact, partnering closely with Product, Finance, and GTM to ensure features are not only shipped quickly, but are economically sound, scalable, and timely. You will focus on getting the right capabilities to market, learning fast from real usage, and continuously adjusting to ensure product features are monetizable. Success in this role is measured by increasing revenue per customer while controlling engineering and infrastructure spend.

This role is ideal for an engineering manager who understands that speed and efficiency are not opposites. You’ll scale teams and systems responsibly, make thoughtful tradeoffs around build vs. buy and AI infrastructure choices, and ensure the organization can grow rapidly without burning unnecessary capital.

Requirements

• 7+ years of software engineering experience, with 3 to 5+ years in engineering management roles.
• Experience leading teams in capital-conscious, high-growth environments.
• Proven ownership of customer-facing products tied to revenue and margin outcomes.
• Hands-on experience building and operating AI-enabled systems with real cost constraints.
• Strong product and financial intuition, you can reason about tradeoffs between growth, cost, and long-term leverage.
• Track record of delivering under aggressive timelines without over-hiring or over-engineering.
• Comfort partnering with Product and Finance to make prioritization decisions grounded in ROI.
• Sufficient technical depth to guide architecture, challenge assumptions, and make sound cost/performance tradeoffs.

Responsibilities

• Own delivery and business outcomes for AI-powered product initiatives, with accountability for ARR impact, adoption, and capital efficiency.
• Lead and grow an engineering team with a focus on output, leverage, and sustainable pace, not headcount growth for its own sake.
• Partner closely with Product, Finance, and GTM to prioritize work based on revenue potential, customer value, and cost-to-serve.
• Drive features that unlock new revenue, expansion, and retention, while improving unit economics.
• Guide architectural decisions with a strong bias toward cost-aware scalability, especially for AI workloads (inference, training, data pipelines).
• Establish engineering practices that maximize engineering ROI, shorter cycle times, fewer handoffs, and predictable delivery.
• Make disciplined tradeoffs to hit market windows while avoiding long-term cost or maintenance drag.
• Track and improve key metrics such as cost per feature, infrastructure spend vs. usage, and revenue per engineering dollar.
• Stay technically engaged through design reviews and selective hands-on work, especially where cost, risk, or scale are involved.
• Build a culture of ownership, accountability, and financial awareness across the team.
• Takes on additional responsibilities and projects as needed to support the success of the team and organization.

Benefits

• Generous Medical, Dental, and Vision coverage for full-time employees
• Flexible time off
• 401k to help you save for the future
• Fun events at cool locations
• Free DoorDash lunches on Fridays
• Employee referral bonuses to encourage the addition of great new people to the team

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed