Engineering Manager

About the role

Finance leaders choose Billtrust to get paid faster, control costs, and maximize customer satisfaction. As the leader in B2B accounts receivable workflow and payment software, we provide the world's leading brands with AI-powered solutions across the full AR lifecycle-from invoice presentment and payment processing to cash application and collections. With over 2,600 global customers, more than $1 trillion in invoice dollars processed, and a proprietary network of 13 million buyers, Billtrust delivers business value through deep industry expertise and a culture relentlessly focused on meaningful customer outcomes. We're an AI-first company, not just in what we build for our customers, but in how we work. Across every function, our teams use AI tools daily to work faster, make better decisions, and deliver higher-quality outcomes. We hire exceptional people, give them cutting-edge AI capabilities, and measure success by the impact they create. If you want to do the best work of your career at the frontier of AI and fintech, Billtrust is the place to do it. Our Values Customers We relentlessly increase value for customer and do the right thing for them. Action We make 'thoughtfully fast' decisions, act quickly, cut through red tape, deliver progress not perfection, take ownership and accountability. Team Spirit We put the team ahead of ourselves, foster trust and respect, collaborate with passion, despise toxic politics, value our differences, and celebrate together. Innovation We challenge the status quo, experiment thoughtfully, and are novel and brilliant in what we create. Excellence We love to win, but we hate losing even more. We aspire to be the best and take pride in our work. When we fall short, we own it and come back stronger. Engineering Manager - ECommerce Platform, AI-Augmented Delivery Pod Engineering Manager to anchor a cross-functional product pod within our B2B eCommerce platform. This pod ships customer outcomes - not just code - using AI-native workflows, continuous delivery, and human-centered engineering craft. You will write code, review pull requests, debug production issues, and pair with engineers daily - not manage from a distance. We expect you to spend a significant portion of your time in the codebase alongside your pod, leading by example and maintaining the technical credibility that earns your team's trust. In our pod model, product management, design, and engineering sit together as one autonomous unit that owns a product surface end-to-end, from discovery through production observability. Your pod will work on core commerce capabilities - product catalog, pricing and quoting, order management, payment processing, ERP integrations, or buyer experience - depending on the pod's domain. As the pod's technical leader, you'll champion AI-augmented development practices - AI pair-programming, automated code review, LLM-assisted testing, AI-driven incident triage - while keeping humans accountable for architecture decisions, customer empathy, and code quality. You unblock, coach, and elevate - with your hands on the keyboard. You do not assign tickets from the sidelines.

Responsibilities

• Write code and stay hands-on
• Lead pod delivery and health
• Facilitate lightweight rituals (standups, retros, demos) tuned to the pod's cadence - not prescribed ceremony. Ensure the pod ships incremental value every week through trunk-based development, feature flags, and zero-downtime releases.
• Champion AI-native engineering
• Drive adoption of AI coding assistants (GitHub Copilot, Claude Code, Cursor), LLM-powered test generation, and automated PR review. Set guardrails so AI accelerates quality, not just velocity. Continuously evaluate emerging AI tools and integrate them into the pod's workflow.
• Own architecture and system design
• Drive cross-pod alignment
• Participate in cohort-level architecture syncs, API contract reviews, and shared platform decisions. Represent the pod's technical roadmap to leadership and ensure consistency across the product organization.
• Own production health
• Ensure the pod maintains SLOs, responds to incidents using AI-assisted triage, and feeds production learnings back into development priorities. Build a culture of blameless postmortems and continuous operational i

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