Who We Are

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.

TechOps Manager:

As TechOps Manager, you'll lead the core operations engineering functions at Billtrust GCC,

managing a team of 11 engineers across Site Reliability, Database, and Platform functions. You'll

drive the evolution of our infrastructure operations toward intelligent, autonomous systems

powered by AI and modern agentic workflows.

Reporting to the SVP of Technology Operations, you'll deliver 24x7 operational excellence while

establishing strategy around AI-enabled operations, autonomous triage, and intelligent incident

response. You'll own vendor transitions, knowledge transfer, and world-class onboarding for our

global operations team

What You'll Do

Lead, mentor, and develop an 11-person operations engineering team (6 SRE, 3 DBA, 2 DevOps)
Establish and optimize 24x7 follow-the-sun SRE coverage model
Drive AI-enabled operations strategy: designing autonomous runbooks, agentic incident triage, and LLM-powered observability workflows
Establish and maintain operational KPIs: SLO/SLI frameworks, mean-time-to-recovery, incident velocity metrics
Own vendor management program, transition planning, and stakeholder communications
Design and execute knowledge transfer processes for technology platform changes and migrations
Lead recruitment, hiring, and retention strategies for operations engineering talent
Champion automation and toil reduction initiatives across all operational functions
Establish operational excellence standards, runbooks, and incident response procedures
Collaborate with product and infrastructure leadership on platform reliability requirements

Experience & Technical Background:

10+ years of progressive experience in infrastructure, operations, or systems engineering
5+ years of leadership experience managing technical teams (10+ people preferred)
Deep expertise in Linux/Unix systems, cloud platforms (AWS preferred), and Kubernetes orchestration
Strong background in incident response, post-mortems, and operational excellence practices
Proven experience implementing and scaling SRE practices and SLO/SLI frameworks
Experience managing 24x7 operations, on-call rotations, and follow-the-sun support models
Track record of successful vendor management and technology transitions
Background in DevOps tooling, CI/CD automation, and infrastructure-as-code methodologies

Soft Skills & Attributes:

Strategic thinker with ability to translate vision into operational execution
Exceptional communicator able to influence across technical and non-technical stakeholders
Builder mindset with hands-on approach and willingness to debug complex systems
Demonstrated ability to develop high-performing teams and foster psychological safety
Data-driven decision maker comfortable with metrics and operational dashboards

AI & Autonomous Agent Engineering Requirements

The Operations Engineering Center is built on a foundation of AI-enabled operations. As

TechOps Manager, you will drive the strategy, adoption, and engineering of autonomous

systems across SRE, database, and DevOps functions.

Autonomous Agent Architecture: Design and lead the development of autonomous agents for incident detection, triage, and resolution -- reducing mean-time-to-recovery by 40%+ through intelligent automation
Agentic Workflow Orchestration Build and govern multi-step agentic workflows that coordinate across monitoring, alerting, remediation, and communication systems without human intervention.
LLM-Driven Operations Strategy Define the organization's strategy for integrating Large Language Models into operational workflows -- from intelligent runbook execution to natural-language incident summarization.
Agent Development Lifecycle Establish engineering standards for autonomous agent development including testing frameworks, observability, guardrails, feedback loops, and safe deployment practices

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TechOps Manager