Jobs at hyperexponential

Own and advance security across AWS, cloud infrastructure, code, dependencies, secrets, containers, and corporate IT. The role involves maintaining security tooling, conducting security reviews, implementing code and infrastructure fixes, driving remediation, supporting ISO 27001 and SOC 2 compliance, advising on secure AI adoption, and leading security projects independently while influencing engineering teams.

Deliver customer enablement for hyperexponential’s Developer+ programme through workshops, code reviews, drop-in support, and technical guidance. Help customers move from hx-led development to independent delivery, covering architecture, coding practices, testing, deployment, and model lifecycles. Build repeatable delivery processes, convert insights into Academy content, use AI to scale support, and communicate recurring customer feedback to Product.

Build and deploy AI tools and automated workflows for People and Talent operations. Own people reporting and analytics, including retention, attrition, engagement, and hiring dashboards. Maintain accurate HRIS data, support Lattice performance cycles and engagement surveys, analyze workforce insights, and improve onboarding, payroll data integrity, and performance processes. The role requires building user-facing AI solutions, working with real datasets, protecting confidential information, and operating effectively in an ambiguous, fast-growing environment.

Build and run repeatable content operations across customer stories, podcasts, thought leadership, executive communications, web pages, and social content. Responsibilities include mapping workflows, coordinating agencies and internal teams, managing calendars and approvals, drafting and publishing copy, quality assurance, repurposing long-form content, and creating templates and prompts. The role starts with supported execution and is expected to grow into end-to-end ownership of content production cycles.

Deliver technical training to clients and partners, create and maintain courses and video content, support certification assessments, enable external delivery partners, and keep documentation current. The role requires explaining technical SaaS products, APIs, programming concepts, pricing models, and AI tooling to varied audiences while collaborating with Product, Customer, and Partnerships teams.

Own product marketing for Calculation Engines and Portfolio Intelligence, driving adoption, launches, onboarding, technical content, positioning, competitive intelligence, and feedback loops. The role targets technical actuarial and developer audiences, partners closely with Product, Revenue, Solutions Engineering, and AI teams, and translates complex capabilities into credible messaging and enablement.

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 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 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.

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.

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.

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.

Manage strategic enterprise insurer accounts to drive adoption, deliver measurable value, manage renewals, run QBRs/workshops, capture customer insights to inform product and commercial decisions, and collaborate cross-functionally to resolve issues and grow accounts.

Serve as the technical lead for a portfolio of customers, designing and delivering SaaS integrations, driving adoption and measurable business outcomes, building reusable AI-first delivery artefacts, managing delivery scope and risks, and sharing best-practice patterns across the team.