Who We Are

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 rapid’ 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.

What You'll Do

- Write code and stay hands-on
- Actively contribute to the pod's codebase — building features, fixing bugs, tackling complex integrations, and taking on technical spikes. Use AI coding tools to amplify your own output. Your hands-on work sets the quality bar and keeps you connected to the real challenges your engineers face every day.
- 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
- Set technical direction for the pod's product surface. Conduct design reviews that account for current needs, future scale, and AI/ML integration points. Balance pragmatism with long-term soundness. In the commerce domain, this means designing for high-throughput transaction processing, complex pricing logic, multi-tenant catalog management, and reliable third-party integrations.
- 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 improvement.
- Co-own the delivery pipeline
- Partner with platform engineering on the pod's CI/CD pipeline. Push toward trunk-based development, canary deploys, infrastructure-as-code, and comprehensive observability (logging, tracing, metrics).
- Grow people
- Coach engineers through pairing, async code reviews, and stretch assignments. Develop AI fluency across the pod. Provide continuous, specific feedback rather than periodic reviews. Build psychological safety and high engagement in a small, autonomous team.
- **Translate

📌 Engineering Manager (Hyderabad)
🏢 Billtrust Careers
📍 Hyderabad