AI Builder & Automation Intern, hyperexponential
$50-60k
Salary prorated for internship length
3+ days a week in office
AI-powered platform transforming risk and pricing decisions
Be an early applicant
AI-powered platform transforming risk and pricing decisions
201-500 employees
Be an early applicant
$50-60k
Salary prorated for internship length
3+ days a week in office
201-500 employees
Company mission
To build the decision infrastructure that helps the world take on more risk with confidence.
Role
Who you are
- Familiarity with at least one automation platform (Zapier, Make, n8n, Lovable/Replit agents)
- Comfort working with APIs/webhooks/JSON, plus basic Python or JavaScript for glue code and data transforms
- Sensible judgment about when to use rules vs. AI tools; awareness of speed, cost, and accuracy trade-offs
- Basic data skills (CSV/JSON handling, SQL) and clear thinking about simple schemas
- Reliability mindset: logging, retries/backoff, avoiding duplicate runs, and simple Git/PR workflows
- Clear communication: explain trade-offs to non-technical partners and write concise docs
Desirable
- Prior internships/projects in Tech/RevOps or sales-adjacent automation
- Exposure to modern data stores or vector databases (e.g., Pinecone/Supabase)—not required
What the job involves
- Reports to: Darren Govender, Lead Pricing Actuary
- We’re looking for someone who enjoys building practical automations that make teams faster. You’ll work with our US Sales & Marketing pod to spot repetitive tasks, design simple automated workflows, get them into production, and measure the impact. Your work will help us decide whether to scale this into a permanent capability
- Deliver impact quickly. Ship 2–3 production automations by the end of the internship (e.g., lead enrichment, meeting-notes → CRM updates, follow-up drafting, lightweight reporting)
- Build and integrate. Use platforms like Zapier/Make/n8n and light Python/JavaScript to connect tools (CRM, marketing automation, documents, chat, calendar, data stores) via APIs/webhooks, with sensible error handling and retries
- Make it visible. Create a simple dashboard (Notion/ or a small web view) that shows runs, success rate, time saved, and common errors. Add basic alerting for failures or missed SLAs
- Iterate with users. Run two improvement cycles based on usage data and Account Executive feedback. Write short release notes and track adoption and satisfaction
- Enable and document. Publish short playbooks (how we choose what to automate, security/PII basics, and how to request an automation). Run two internal demos to share what you’ve shipped
- Work smart with stakeholders. Shadow AEs, map “current vs future” steps, define a small first scope, and ship weekly where possible
- Examples you might tackle
- Auto-enrich inbound leads and post clean updates to the CRM with an audit trail
- Turn meeting notes into structured CRM fields and next actions, with a light review step
- Draft prospect follow-ups using recent notes and documents for AE approval
- Simple reporting nudges (calendar/CRM hygiene; pipeline health summaries)
- By ~3 months you’ve:
- Shipped 2–3 automations to production hitting the targets above
- Stood up a simple dashboard and alerts, and completed two data-led iterations
- Published playbooks and delivered two enablement sessions (aim for CSAT ≥4/5)
- Shown hx values in action beyond your core deliverables
- 30/60/90 (how we’ll support you)
- 30 days: Shadow AEs, map 5–7 workflows, pick the top 2 by impact/effort; ship POC #1; set up logging + dashboard skeleton; write a short runbook
- 60 days: Take POC #1 to GA (adoption ≥50%); ship POC #2; add retries/alerts; first enablement; iteration #1
- 90 days: 2–3 GA automations with target metrics; dashboard live; playbooks published; iteration #2; tidy handover docs
Application process
- We’re running this process with care and intention. Applications will remain open until Monday 22nd September, and we’ll begin reviewing them together with the hiring team only after the deadline has passed. Please don’t feel the need to rush - take your time to put forward your best application. Every application will be read carefully and considered in detail
- Talent screen:
- Hiring Manager + Skills Interview
- Values interview:
Our take
hyperexponential was created to provide modelling software to help people and businesses build, deploy and manage analytical models that work with small, sparse and fragmented datasets. Its goal is to make teams more agile, collaborate more deeply, and work more productively.
hyperexponential's pricing and data-driven decision-making software is built for the speciality and commercial insurance markets. The product has broad applications, but the company's initial focus is on speciality insurance, a sector the founders know well, having worked there for more than a decade.
The company's making a name for itself too, working with some of Europe's biggest insurers to transform how pricing decisions are made. And its newest launch, hx AI, blends powerful AI with its core platform to help insurers build smarter models, faster. It's a strong signal that hyperexponential is not just growing, but ready to lead the way.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Jan 2024
$73m
SERIES B
Jun 2021
$18m
SERIES A
Total funding: $91m
Company benefits
- £5,000 for individual and group training and conference budget
- 25 days holiday plus 8 bank holiday days (33 in total)
- Company pension scheme via Penfold
- Mental health and therapy provision via Spectrum.life
- Individual wellbeing allowance via Juno
- Private healthcare insurance through AXA
- Top-spec equipment (laptop, screens, adjustable desks, etc)
- Regular remote & in-person hackathons, lunch & learns, socials and games nights
- Team breakfasts and lunches, snacks, drinks fridge, fun office @ The Ministry
Company values
- We are owners - We help move hyperexponential forward without being told
- We push boundaries - We keep going for ourselves and our customers when most would stop
- We grow - We learn deeply, by making things. We improve through data and insights
- We go deeper - We apply a thoughtful and customer centric mindset to all we do
- We do the right thing - We are usually nice, never disrespectful, and always kind
Company HQ
London, UK
Articles
Leadership
Amrit Santhirasenan
(Co-Founder & CEO)CompSci at the University of York, qualified Actuary and previous Head of Pricing and Analytics of Tokio Marine Kiln, one of the largest managing agents at Lloyd’s.
People progressing
They joined hyperexponential in 2020 when the company still had a fairly small Engineering team. They were given the opportunity to step in as a Team Lead and ended up being one of the first Team Leaders within ProdEng.
Charlotte joined hx in 2022 and progressed from Project Manager to Delivery Lead, now driving strategic programmes and helping scale how we deliver cross-functional work.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
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Diversity, Equity & Inclusion at hyperexponential
Rotem Ben-David (Head of People Operations & Performance)
- We are committed to diversity and equal opportunity. We believe that the more inclusive we are, the better our work and culture is. We are not yet where we want to be in terms of balance, but it is our mission to build a team that represents a variety of backgrounds and perspectives and we are working hard towards that goal.
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