Pace helps leading insurers run complex operations through AI agents and expert human review. Financial institutions spend nearly $400 billion annually on outsourced work. We’re building technology to transform those operations alongside some of the largest insurers in the world.
RoleWe’re looking for a Customer Engineering Lead to own customer success after deployment and build the team behind it.
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 important customer relationships and lead complex escalations while hiring, coaching, and setting standards for Customer Engineering.
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.
This is a hands-on leadership role. You’ll stay close to customer issues while building the playbooks, tools, and processes that help the team deliver consistently as Pace grows.
In practice, you will:Own customer outcomes: Set the standard for how we support customers after deployment. Own key relationships, set clear expectations, and ensure questions and escalations reach resolution.
Lead technical investigations: Debug issues across prompts, tools, workflows, data, and integrations. Use logs and structured analysis to find root causes, fix issues directly when possible, and help the team work through unfamiliar problems.
Design solutions with customers: Understand customer systems, security requirements, and operating constraints. Weigh architecture and integration tradeoffs and turn messy requirements into practical solutions.
Build and lead the team: Hire, coach, and develop customer engineers. Establish clear ownership across customer portfolios, help prioritize competing issues, and build the team’s technical judgment and customer communication skills.
Partner with Product & Engineering: Ensure issues are well diagnosed before escalation and drive them through resolution. Synthesize customer feedback and turn recurring patterns into product improvements.
Build the Customer Engineering function: Create playbooks, tools, documentation, and escalation paths that make the team faster and more effective. Track recurring issues and resolution quality, and use what you learn to improve how the function operates.
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. Customers trust you to lead through difficult issues and follow through on commitments.
Can lead and develop a technical team. You’ve managed or led customer engineers, solutions engineers, or a similar team. You help people improve their diagnosis, judgment, and communication while holding a high bar for outcomes.
Turn ambiguity into action. You move from messy workflows and incomplete information to a clear diagnosis, practical solution, and repeatable process. You know when to keep digging and when to bring in another team.
Prefer hands-on leadership. You want to learn the product deeply, stay involved in difficult problems, and build a function through both direct work and the people you develop.
Have experience in customer success, solutions engineering, or customer engineering and hold a four-year degree.
Bonus: Experience with agentic AI, insurance or financial services, or building a customer-facing technical function from zero.
Team characteristicsIntegrity: We value thoughtful people who earn trust, keep their commitments, and care about the quality of their work.
Ambition: Our goal is a $100bn+ business spanning vertical services. We want teammates who bring equally serious ambitions to their own development, whether as expert practitioners, leaders, or future founders.
TrajectoryYou’ll shape how Customer Engineering operates at Pace and build the team that owns customer success after deployment. As the company grows, you’ll have opportunities to lead a larger organization and turn what we learn from customers into better products and ways of working.
Compensation & BenefitsCompetitive salary and meaningful equity ownership
Medical, dental, and vision insurance
Unlimited paid time off
Skills Required
- Experience in customer success, solutions engineering, customer engineering, or a similar customer-facing technical function
- Experience managing or leading customer engineers, solutions engineers, or a similar technical team
- Ability to work with SQL, APIs, logs, data flows, and cloud architectures
- Strong technical debugging and systems investigation skills
- Ability to communicate effectively with operators, engineers, and executives
- Four-year degree
- Experience with agentic AI
- Experience in insurance or financial services
- Experience building a customer-facing technical function from zero
Pace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pace and has not been reviewed or approved by Pace.
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Healthcare Strength — Benefits include company-sponsored medical and dental insurance with vision coverage, plus mental health access through Talkspace, Teladoc, and One Medical. These offerings indicate a strong healthcare foundation for employees.
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Leave & Time Off Breadth — Policies include unlimited PTO alongside paid holidays and sick days. This structure affords broad flexibility for time away.
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Equity Value & Accessibility — Compensation packages reference company equity or meaningful early-stage stock options. This provides employees with ownership potential in addition to base pay.
Pace Insights
What We Do
Pace AI is an AI-native English-language learning and workforce-training platform. It equips partners with organization-specific, on-the-job training for lower-literacy and ESL workers, using AI to augment curriculum and technical training. The company transforms existing content into personalized learning experiences for schools and workforce-development programs, aiming to unlock economic opportunities through more accessible, practical education across education and employment contexts.
