Jobs at Pace

Leads post-deployment customer success and the Customer Engineering function. Responsibilities include managing customer relationships, investigating issues across logs, data, APIs, workflows, and agent behavior, designing integration solutions, leading escalations, coaching and hiring engineers, partnering with Product and Engineering, and building playbooks, tools, documentation, and processes to improve resolution quality and team effectiveness.

Own end-to-end product design for Pace’s AI-powered insurance operations platform. Conduct customer discovery, shape product direction, design intuitive workflows, establish a scalable design system, and partner closely with engineers through implementation. Design experiences that clarify AI agent behavior, human review, exceptions, and user control. The role requires strong visual and interaction design, comfort with ambiguity, rapid prototyping, clear communication, and interest in building AI products.

Own end-to-end product design and ship production-quality UI by prototyping in code. Independently implement UI/UX fixes, build and maintain a cohesive design system, collaborate with users and stakeholders, and iterate rapidly on an AI-native insurance product.

Business Operations generalist supporting finance, hiring, company planning, special projects, vendors, and internal workflows. Responsibilities include budgeting and forecasting, financial modeling, invoicing, business-case development, leadership and investor reporting, recruiting operations, onboarding, vendor management, and process automation using AI. The role requires independent execution, strong organization, analytical thinking, clear writing, and the ability to structure ambiguous problems from planning through implementation.

Build and lead Pace’s finance function, owning financial planning, forecasting, accounting, reporting, treasury, tax coordination, controls, and cash management. Partner with founders and functional leaders on hiring, investment, pricing, contracts, unit economics, and resource allocation. Prepare board and investor materials, support fundraising diligence, and improve financial operations through systems and automation.

Source and engage exceptional engineers and operators through research, personalized outreach, AI, automation, and creative recruiting channels. Build sourcing workflows, talent maps, and repeatable systems while partnering with founders and hiring managers. Track results, experiment with referrals and technical communities, and improve candidate engagement and hiring outcomes.

Supports the CEO by managing calendars, inbox communications, travel, expenses, meeting preparation, customer and investor relationships, and executive follow-up. Leads special projects such as events, gifting, dinners, and conference logistics while coordinating vendors, budgets, and timelines. Builds systems to improve executive productivity and uses sound judgment, discretion, writing skills, and proactive problem-solving to keep priorities moving.

Own and scale strategic consulting, technology, and channel partnerships for an AI operations company serving insurers. Responsibilities include developing joint go-to-market plans, aligning partners with sales opportunities, generating partner-sourced and influenced revenue, maintaining partnership health, enabling internal teams, and helping build the partner program. The role requires close collaboration across sales, engineering, and go-to-market functions.

Own Pace’s technology and product partnerships with AI labs, insurance platforms, data providers, cloud providers, and marketplaces. Develop partnership strategies, customer value propositions, integrations, commercial models, joint go-to-market plans, and revenue programs. Lead cross-functional execution across Product, Engineering, Applied AI, Sales, Legal, Security, and external partners. Establish partnership metrics, governance, operating processes, and scalable playbooks while driving integrations from initial concept through launch and growth.

Leads Pace’s strategic consulting and technology partnerships, designing the partner operating model, enablement system, governance, incentives, and go-to-market motions. Oversees partner-led customer deployments from pilot through scaled production, aligns partner and internal teams, identifies expansion opportunities, informs Product and Engineering roadmaps, and establishes playbooks for a growing Partner Success organization. The role requires executive relationship management, strategic account development, operational ownership, and credibility discussing AI agents, financial impact, controls, and delivery quality.

Develop customer stories, product launch narratives, website copy, and other content about AI and insurance. Interview customers, executives, and technical experts; translate complex ideas clearly; repurpose long-form content across social, email, sales, and events; manage the editorial calendar and review process; and maintain Pace’s distinctive brand voice.

Build and test growth programs across paid acquisition, SEO, AEO, outbound, direct mail, ABM, and marketing operations. Automate GTM workflows using modern tools, APIs, data, and AI-assisted development; improve website conversion paths; identify high-intent accounts; and run disciplined experiments. Convert successful initiatives into scalable playbooks, tools, and automations for the broader GTM team.

Develop and evolve Pace’s visual identity and brand system across typography, color, imagery, motion, layout, and art direction. Create campaigns, launches, events, editorial work, websites, customer stories, social content, sales materials, and physical experiences. Establish creative standards, build scalable templates and guidance, and collaborate with external creative partners to deliver high-quality brand work.

Lead product marketing for an AI operations company serving insurers. Own positioning, messaging, product launches, market and competitive insights, sales enablement, and internal readiness. Build the product marketing function, establish processes and measurement, and help recruit and develop the team. Partner closely with sales, product, engineering, and leadership to translate technical capabilities into compelling narratives and influence roadmap and go-to-market priorities.

Leads and scales an enterprise sales team, owning forecasting, pipeline health, hiring, coaching, quota performance, and major strategic deals. Partners with technical, product, pricing, and marketing teams to build repeatable sales processes and close complex, multi-year platform agreements with insurers, brokers, and MGAs.

Leads strategic account executives serving major insurers, brokers, and MGAs. Owns segment revenue across new business, expansion, and retention; coaches enterprise selling, manages forecasts, sponsors executive relationships, drives account planning, and removes procurement, security, and legal obstacles. Builds repeatable sales playbooks, partners with product and AI teams, and develops high-performing teams through hiring, feedback, and performance management.

Build AI-powered workflows, features, integrations, and evaluations for insurance customers. Work across customer discovery, product, and engineering to solve operational problems, deploy solutions, investigate agent behavior, improve workflow reliability, and turn deployment patterns into reusable capabilities.

Lead enterprise P&C client engagements to translate operational goals into scaled agentic operations. Guide solution design with deep P&C expertise, orchestrate cross-functional delivery, mitigate operational and regulatory risk, and define multi-year account expansion roadmaps to drive measurable business KPIs.

Owner of post-deployment customer success for a portfolio of insurers: investigate and debug AI agent behavior, triage integrations, design practical solutions with customers, partner with Product and Engineering, and build the Customer Engineering function including playbooks and escalation paths.

Partner with large enterprise insurance customers to expand use cases, build solutions, ship features, integrations, and evaluations in the codebase, and collaborate with engineering to deliver mission-critical product work.