Engineering Manager, Personalisation
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026.
About Cover Genius
Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.
Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.
Our people are: Accountable, customer-obsessed, collaborative, driven
Our people are not: Passive, defensive, siloed, hesitant
About the Role
As the Engineering Manager, Personalisation, you will lead the team building BrightWrite’s personalisation systems: the engine that decides which protection to offer and how to present it to each customer across our partners’ platforms. Your team’s work runs on millions of live customer journeys a day, so decisions made there show up directly in conversion and customer experience.
You will have built real-time decisioning or recommendation systems in production, run them through rigorous experimentation, and worked closely with data scientists to turn models into reliable services.
Key Responsibilities
Lead and grow a team of engineers building BrightWrite’s personalisation systems, fostering technical excellence, ownership and psychological safety in line with Cover Genius values.
Own the technical roadmap and architecture for personalisation, covering A/B testing, offer selection, and contextual bandit experiments.
Build and scale the experimentation capability behind personalisation
Partner with Data Science to take models from research into production, including model serving, model registry and evaluation infrastructure.
Ensure the platform meets its SLOs for latency, availability and reliability.
Establish engineering and operational excellence through observability, CI/CD, IaC, testing and data quality standards.
Ensure personalisation operates within regulatory, compliance and partner constraints.
Be accountable, alongside Product, for the measurable impact of personalisation on customers and partners.
Skills & Experience:
What you will bring:
8+ years of experience in software, data or ML engineering, and 2+ years leading or managing engineering teams in a fast-paced, high-growth environment.
A track record of building recommendation, ranking or real-time decisioning systems in production at scale.
Strong grounding in experimentation design and analysis, with experience building or operating experimentation platforms.
Hands-on MLOps experience in production, including model serving, feature pipelines and model monitoring.
In-depth experience with Python (Django or FastAPI), Kubernetes and Terraform, ideally on GCP.
What you will have:
Exceptional leadership and communication skills. You know how to inspire, motivate and develop a team of technical experts.
Product and commercial instinct. You think about the customer’s moment of decision and the partner’s outcome.
Judgement about when ML or AI earns its place and when a simple rule or heuristic is the better answer. You prefer pragmatic engineering over trend-driven solutions.
Integrity to hold a privacy or compliance line under commercial pressure.
A strategic mindset. You align personalisation initiatives with business goals and manage stakeholder expectations across engineering, data science and product teams.
Strong problem-solving ability and a deep sense of ownership, from technical architecture through to team performance and product outcomes.
Self-motivation and reliability, with the ability to drive projects to completion in a fast-paced environment.
Why Cover Genius?
At Cover Genius, we create magic by turning the archaic into the extraordinary. We take one of the world’s oldest and most complex industries and reinvent it with world-class technology. Cover Genius doesn’t just disrupt legacy insurance; we make the impossible feel effortless. Our operating principles guide our mission:
Make today matter: We deliver with urgency and excellence. We act decisively, move with intention, and hold a high bar.
Act with accountability: We own our commitments and take pride in delivering results that move us forward.
Grow together: We are a collective of curious minds. We learn from wins and setbacks, share knowledge generously, and elevate each other every day.
Inspire each other: We push each other to think bigger and pull together to go further.
Champion our customers: We lead with empathy and center the customer, turning complex disruptions into seamless moments of trust.
Flexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.
Don't just take our word for it - hear about our culture straight from our people here: story time.
Ready to make an impact? If you’re looking for a place where you’ll be challenged, trusted, and empowered, we’d love to meet you!
The Legal & Privacy Stuff
Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
By submitting your application, you acknowledge that we may collect, store, and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.