Jobs at hyperexponential

Own the technical sales motion for complex insurance software opportunities, including discovery, demos, proofs of value, RFPs, RFIs, and technical evaluations. Advise actuaries, underwriters, IT leaders, and executives; build Python-based workflows and prototypes; explain technical solutions to diverse stakeholders; and relay customer insights to Product and Engineering. The role requires extensive Python coding, actuarial, underwriting, or technical broking experience, plus customer-facing exposure in a B2B SaaS or technology environment.

Designs technical solutions for complex enterprise software opportunities, leading discovery workshops, integration architecture, technical evaluations, RFPs, security reviews, proofs of concept, and customer demonstrations. Partners with Sales and Product Engineering to secure technical wins, test new capabilities, and develop reusable architectures, integration assets, demo environments, and technical presentations for insurance customers.

Staff Product Engineer responsible for setting technical direction across Model Authoring teams, establishing engineering standards, owning shared infrastructure and technical interfaces, and solving complex product problems hands-on. The role requires product focus, architectural leadership in ambiguous environments, cross-team influence, AI-native engineering experience, and mentoring. The engineer will help define trustworthy agentic development practices and build tools supporting actuarial pricing model creation and management.

Own end-to-end delivery of production-grade Python models, from scoping and development through testing, iteration, and customer deployment. Collaborate with actuarial teams and stakeholders to solve complex modeling and coding problems, improve development standards, conduct code reviews, and mentor junior developers. The role applies predictive modeling and advanced analytics in data-heavy environments while requiring ownership of ambiguous problems and direct customer engagement.

Build and maintain Python-based predictive models on the hx modelling platform, collaborate with customer actuarial teams and developers, review and test models, develop best-practice guidance and training materials, and improve model development standards. The role requires production-grade Python, predictive modelling or advanced analytics experience, autonomy, experimentation, and comfort solving ambiguous customer problems.

Own the US solutions marketing narrative for an AI-powered insurance SaaS platform. Responsibilities include developing positioning, validating messaging with customers, adapting global narratives, enabling and certifying sellers, building proof points and case studies, shaping event content, supporting strategic deals, and translating customer and field insights into actionable marketing decisions.

Own customer marketing programs, including recruiting and producing case studies, customer-contributed content, social assets, and award submissions. Build strong customer relationships, coordinate senior stakeholders, improve content-production processes, and grow engagement across the underwriting community through events, email, and LinkedIn. Shape customer stories to align with company positioning and support sales, marketing, events, and lead generation.

Own end-to-end revenue and accounts receivable in NetSuite, drive month-end close to tight deadlines, manage UK VAT filings and payroll (post-HiBob transition), oversee banking and treasury controls, maintain reconciliations and audit-ready documentation, and deliver regular process improvements and automation while keeping SOPs current.

Own people reporting and analytics, build and maintain dashboards (retention, attrition, engagement), run Lattice operations and performance cycles, manage HRIS data integrity, run engagement surveys and translate insights into actions, handle HR administration, benefits, compliance, and support DEI, wellness, and L&D initiatives.

Build hx’s first Revenue Enablement function by creating operating processes, roadmaps, onboarding, training, content, customer insight, and seller-performance programs. The role partners with Revenue leadership, Marketing, Product Marketing, ABM, RevOps, and frontline sellers to improve qualification, discovery, deal progression, Salesforce adoption, forecasting, ramp time, and commercial discipline. This hands-on builder role also uses AI tools to accelerate enablement content and feedback loops.

Build and own bespoke People and Talent products end to end, from problem framing and UX design through full-stack development, infrastructure, security, and production delivery. Develop internal tools and compensation platforms, make product and technical decisions autonomously, iterate based on user feedback, and handle sensitive employee data in compliance with security and data protection policies.

As a Model Developer, you will deliver end-to-end model solutions using Python, collaborate with actuarial teams, mentor juniors, and improve model development practices.

Design, build, operate, and own backend services for an underwriting platform using Kotlin, Java, or another JVM language. Shape APIs, architecture, domain models, persistence, reliability, and observability. Build agent-assisted workflows, collaborate with frontend, product, and client-facing teams, engage directly with underwriters, and use AI coding tools responsibly. The role requires solving ambiguous customer problems, making independent technical decisions, and contributing to engineering standards.

The Head of Sales Enablement will build and enhance the sales enablement function, create training programs, improve seller effectiveness, and streamline sales processes, collaborating closely with sales and marketing leaders.

Lead end-to-end customer projects for an AI-powered insurance SaaS platform: manage timelines, stakeholders, risks, and delivery to bring pricing models and integrations live. Act as primary customer contact, translate needs to Model Development and Engineering, maintain project artefacts and governance, apply AI/automation to improve delivery, and help scale consistent, repeatable processes across the delivery function.

Lead the technical direction for an AI-first platform: define architecture, standards, and roadmaps; drive platform adoption, security, reliability, and operational excellence; embed AI/automation patterns; influence senior stakeholders; and develop senior engineers to multiply organisational effectiveness.

Drive technical pre-sales for hx by designing integration architectures, running discovery workshops, leading technical evaluations (RFP/RFI), building POVs/POCs, and partnering with Sales and Product Engineering to secure and scale enterprise customers.

Manage and grow a portfolio of North American strategic partners (consultancies, systems integrators, tech and data providers). Build joint business plans, enablement and go-to-market motions, drive partner-influenced pipeline, coordinate co-selling, and create repeatable enablement and accreditation programs. Collaborate cross-functionally and use AI and automation to improve partner research, planning, reporting and engagement.

Build data-driven business cases and ROI models that quantify hx's impact, partner with Sales on enterprise opportunities (especially AI Vanguard), translate complex customer data into executive-ready value stories, and create reusable frameworks to scale the US Value Consulting motion.

Deliver live and online technical training and workshops for clients and partners; build and maintain course content, video tutorials, and certification assessments; translate product features into usable learning materials; support partner enablement and maintain course health and documentation.