Founding Product Engineer (AI & Agentic Systems)

Salary: £120,000 – £170,000
Equity: 0.25% - 1.2%

In-person, with flexible remote days

European visa sponsorship available

About Aurora

Aurora is the AI-native Lifestyle Operating System for the world's highest performers.

A proactive, conversational lifestyle management product relied on by the world's top founders, athletes, and creatives to advise, execute, and manage their travel, dining, wellness, experiences, and gifting globally.

Over half our members use every single day, 95% every week, and in our first 6 months, member spend & engagement is outperforming industry benchmarks by 5×.

Aurora is backed and chaired by Alex Macdonald, the most successful founder in this category, and has raised $9M from experienced operators and tier-1 investors.

We are now expanding the founding engineering team as we scale the product and the member base.

Aurora is built in person from our offices in London, New York, and Los Angeles. The engineering team works from our London office in Belgravia, with flexible remote days.

You can find our recent launch video here.

The role

We’re hiring a Founding Product Engineer to own and ship user-facing, AI-driven features end to end.

This is a hybrid role that sits between engineering and product. You will be hands-on technically, while also acting as the product owner for specific features. You’ll define problems, shape solutions, work directly with curators and stakeholders, and ensure what we ship actually delivers value to members.

You’ll work closely with the CTO, founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment and agent orchestration - this role owns that intersection.

This is a high-ownership role. You will take ambiguous ideas, turn them into concrete systems, ship them to production, and iterate based on real customer usage and feedback.

Over time, this role can evolve into senior product leadership, technical leadership, or a hybrid path, depending on your strengths and ambitions.

Aurora attracts people who want to build their own companies. We treat this role as training for that level of ownership.

Our Principles

We’re a deeply committed team of tier-1 backed and exited operators united by our five core principles:

• We seek truth
• We are high-leverage
• We are owners
• We believe impossible is an attitude

Why Aurora

High Leverage

Design a daily-use product placed directly in the hands of the world’s most ambitious individuals and organizations - empowering them to compound their time, relationships, and global impact.

Cutting-Edge AI

Work hands-on with a next-generation AI system redefining lifestyle management at the highest level, spanning context, recommendation, orchestration, and execution. Design an ultra-lightweight, ultra-high-leverage product experience that consistently wins the engagement, trust, and spend of the most powerful consumer cohort in history.

Opportunity

Play a foundational role in building the future of high-performance lifestyle management - a $100bn opportunity at the intersection of technology, luxury, and longevity.

About the Founders

Aurora was founded in 2024 by:

• Jonah Lowenstein, previously founder of a social e-commerce platform backed by Accel, 20VC, and the co-founder of Venmo
• Aurelius Zwick, won the UK’s largest youth entrepreneurship competition at age 16
• Dmitry Ogurtsov, previously director of engineering at conversational AI company exited to ZoomInfo

Aurora is chaired by Alex Macdonald, founder of the world’s most successful concierge - exited to Capital One for $300m.

To date, we’ve raised $9M from Tier-1 VCs and operators, including the founder of Cleo, Quadpay, early investors in Supercell and Deliveroo, the President of VistaJet, and tier-1 athletes including Kevin Love and Kyle Kuzma.

What you’ll do

• Own product features end-to-end, from problem definition to production, feedback, and iteration
• Act as product owner for assigned areas, balancing customer needs, technical constraints, and delivery speed
• Design and implement AI-powered workflows using LLMs, tools, and agentic systems
• Design agent flows that combine automation with human-in-the-loop escalation
• Work closely with our internal domain experts to understand real operational pain points and opportunities for leverage
• Collaborate with engineers to ship reliable, scalable implementations
• Define success metrics and use qualitative and quantitative feedback to guide iteration
• Debug production issues related to AI behavior, data quality, or workflow design
• Contribute code across the stack where needed, with a bias toward shipping value

What we’re looking for

Experience

• 4+ years of experience building production software
• Proven experience shipping AI-powered features used by real customers, ideally at scale
• Experience working with LLMs, prompt design, tool calling, and agentic flows

Technical foundation

• Comfortable writing production-ready Python code
• Solid understanding of backend systems and APIs, even if not infrastructure-focused
• Experience working with data pipelines, embeddings, retrieval, or RAG-style systems
• Ability to reason about latency, cost, reliability, and quality trade-offs

Product mindset

• You naturally think in terms of user outcomes, not just implementation details
• Comfortable operating with ambiguity and incomplete information
• Able to define the “right” problem before jumping to solutions
• Willing to make pragmatic decisions and adjust quickly based on feedback

Collaboration

• Strong communicator who can work across engineering, product, and operations
• Comfortable taking ownership and being accountable for results
• Enjoys being close to customers and real usage
• Wants to work in person with a high-performance team

Nice to have

• Experience acting as a product owner or tech lead on specific features
• Familiarity with Django or similar backend frameworks
• Experience with human-in-the-loop systems or operational tooling
• Understanding of mobile or frontend constraints
• Exposure to regulated or high-trust environments

1. $2,000 Tech & Education budget
2. Complimentary Oura ring or Whoop
3. Complimentary longevity testing subscription
4. Lifestyle perks, events, and access opportunities
5. Full health benefits; 90% coverage, including full dental & vision
6. Complimentary dinners and evening transport
7. 15 Flexible remote days per year