Pace is the AI operations partner for leading insurers. We combine AI agents with expert review to automate complex insurance workflows. Financial services companies spend nearly $400bn a year on outsourcing; we're chang…
Skills: Customer Success, Solutions Engineering, SQL, API Integration, Debugging
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Pace is the AI operations partner for the world's leading insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on ou…
The following promotion opportunity is available to qualified Pace applicants. Bids received by Human Resources from current Pace employees within ten (10) business days of this position being posted will be considered p…
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Pace is an AI-native business process outsourcer for insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsour…
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Pace is an AI-native business process outsourcer for insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsour…
Job Description: Under the direction of the Superintendent of Transportation, Division Manager, or designee, the Dispatcher and Supervisor performs road supervisor and/or dispatcher duties. Supervision encompasses all fi…
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Pace is the AI operations partner for the world's leading insurers. We deploy AI agents, backed by our expert insurance operations review, to take on complex insurance workflows end to end. Financial services spend nearl…
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Full-time
bachelor degree
Posted 1d ago
~40 hrs/week
Responsibilities
The Founding Customer Engineer will own customer success post-deployment, serving as the primary contact to resolve product and integration issues. They will investigate agent behavior, design technical solutions with customers, and build the foundational playbooks for the Customer Engineering function.
Requirements
Candidates must have a four-year degree and experience in customer success, solutions engineering, or customer engineering. Proficiency in SQL, APIs, and debugging complex systems is required, with experience in agentic AI or financial services being a plus.
Full job description
Pace is the AI operations partner for leading insurers. We combine AI agents with expert review to automate complex insurance workflows. Financial services companies spend nearly $400bn a year on outsourcing; we're changing that by working alongside some of the world's largest institutions.
Role
We're looking for a Founding Customer Engineer to own customer success after deployment. As the first hire in this function, you'll shape how it operates and help build it from the ground up.
This is not a traditional support role. You'll work directly with customers to understand their systems, investigate agent behavior, and resolve product and integration issues with speed and judgment. You'll own outcomes end to end and step in wherever needed to keep customers successful.
You'll work across customers, Product, and Engineering. You won't ship core production code, but you'll go deep into logs, data, configurations, APIs, and agent behavior—and make scoped agent changes when that's the fastest path to a solution.
In practice, you will:
Own customer outcomes: Serve as the primary point of contact for a portfolio of customers, set clear expectations, and drive questions and escalations through resolution.
Investigate and debug agent behavior: Triage issues across prompts, tools, workflows, data, and integrations. Use logs and structured analysis to find root causes and fix issues directly when possible.
Design solutions with customers: Understand customer systems, security requirements, and operating constraints; weigh architecture and integration tradeoffs; and turn messy requirements into practical solutions.
Partner with Product & Engineering: Represent the customer by synthesizing feedback, diagnosing issues before escalation, driving each escalation to resolution, and turning recurring patterns into product improvements.
Build the Customer Engineering function: Create the playbooks, tools, documentation, and escalation paths that make customer support faster and more repeatable.
You're a great fit if you:
Operate with autonomy and urgency. You take ownership, make progress without close oversight, and stay calm when issues are ambiguous or time-sensitive.
Are strong in systems and debugging. You can work with SQL, APIs, logs, data flows, and cloud architectures, read code when useful, and methodically debug unfamiliar systems.
Have strong customer presence. You communicate clearly with operators, engineers, and executives, and customers trust you to lead through difficult issues.
Turn ambiguity into action. You can move from messy workflows and incomplete information to a clear diagnosis, practical solution, and repeatable process—and know when to keep digging or bring in another team.
Prefer hands-on problem solving. You want to learn the product deeply, deliver excellent work, and help build an early-stage function.
Have experience in customer success, solutions engineering or customer engineering and hold a four-year degree. Experience with agentic AI, insurance or financial services, or building a function from zero is a plus.
Team characteristics
The Pace team shares two defining characteristics:
Integrity: We want to work with good people committed to doing the best work of their careers. We believe meaningful impact takes sustained focus, and we're building for the next 5-10 years.
Ambition: We're building more than a successful vertical AI company. We're pursuing a $100bn+ outcome across vertical services and want teammates whose ambitions match the opportunity—whether they aim to become exceptional individual contributors, lead at scale, or start companies of their own.
We're building a talent-dense team where people grow into world-class individual contributors, business owners, and leaders. We want Pace to accelerate your growth for the long term.
We're a ~40-person, in-person team in New York, backed by leading customers and investors and positioned to make a real impact on one of the world's largest industries.
Related keywords
AI AgentsInsuranceFinancial ServicesSQLAPIsCloud ArchitectureAgentic AICustomer EngineeringSolutions ArchitectureDebuggingTechnical SupportProduct FeedbackWorkflow AutomationSaaSVertical AI