At a Glance
- Tasks: Lead technical strategy and design robust cloud-native systems for an AI-native CRM.
- Company: Join a $116M Series B startup backed by top investors like GV and Redpoint.
- Benefits: Competitive salary, equity options, and opportunities for international team off-sites.
- Other info: Enjoy a craft-focused culture with excellent career growth opportunities.
- Why this job: Make a real impact in the AI era while mentoring a world-class engineering team.
- Qualifications: Experience in distributed systems and a strong product-first mindset.
The predicted salary is between 135000 - 170000 € per year.
You will solve the most complex technical challenges for a next‑generation CRM built for the AI era. As a Staff Product Engineer, you will drive technical strategy across teams, design robust cloud‑native systems, and mentor high‑caliber talent. You’ll balance technical excellence with business delivery to build a tool that empowers ambitious global GTM teams.
Why This Role Is Remarkable
- Work at the frontier of AI‑native architecture with a high‑performance team backed by world‑class investors.
- Take a high‑impact leadership role where you influence the fundamental infrastructure and technical standards of a platform disrupting the CRM market.
- Enjoy a craft‑focused culture that prioritises deep technical rigor, exceptional user experience, and frequent international team off‑sites to locations like Barcelona and Lisbon.
What You Will Do
- Provide technical leadership for critical infrastructure, ensuring the platform remains reliable, scalable, and secure as the user base grows.
- Mentor and coach a world‑class engineering team, fostering a growth mindset and raising the bar for software operations in the age of AI.
- Collaborate across the organization to make strategic trade‑offs between rapid delivery and architectural perfection, optimising for customer value and business growth.
The Ideal Candidate
- Demonstrates first‑class technical execution in distributed, cloud‑native systems with a proven ability to think in complex systems rather than just code.
- Possesses a track record of technical leadership, having successfully broken down large, ambiguous problems into executable goals for other engineers to own.
- Maintains a product‑first mindset with strong opinions on UX, using data and customer insights to build features that are uniquely valuable to users.
Staff Product Engineer (£135k-£170k + Equity) at $116M Series B AI-native CRM startup employer: Jack & Jill
Join a pioneering AI-native CRM startup that offers an exceptional work environment, where innovation meets collaboration. With a focus on technical excellence and a craft-oriented culture, employees benefit from mentorship opportunities, international team off-sites, and the chance to influence cutting-edge technology in a rapidly evolving market. This remote role allows you to thrive in a high-impact position while enjoying the flexibility and support of a forward-thinking company backed by top-tier investors.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Product Engineer (£135k-£170k + Equity) at $116M Series B AI-native CRM startup
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or side projects, make sure to highlight them during interviews. It’s a great way to demonstrate your technical prowess and passion for the field.
✨Tip Number 3
Prepare for the technical challenges! Brush up on your problem-solving skills and be ready to tackle complex scenarios during interviews. Think of it as a fun puzzle rather than a stress test.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff Product Engineer (£135k-£170k + Equity) at $116M Series B AI-native CRM startup
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff Product Engineer role. Highlight your technical leadership and experience with cloud-native systems, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and CRM. Share specific examples of how you've tackled complex challenges in the past, and how you can bring that expertise to our team.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include projects or achievements that showcase your ability to design robust systems and mentor others. We want to see how you think and solve problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
As a Staff Product Engineer, you'll need to demonstrate your expertise in distributed, cloud-native systems. Brush up on the latest trends and technologies in AI and CRM. Be ready to discuss specific projects where you've tackled complex technical challenges.
✨Showcase Your Leadership Skills
This role involves mentoring and coaching a high-calibre engineering team. Prepare examples of how you've led teams in the past, focusing on how you fostered a growth mindset and improved software operations. Highlight your ability to break down large problems into manageable tasks.
✨Balance Technical and Business Acumen
You'll need to make strategic trade-offs between rapid delivery and architectural perfection. Think about times when you've had to prioritise customer value over technical perfection. Be ready to discuss how you optimise for business growth while maintaining technical excellence.
✨Emphasise User Experience
The ideal candidate has a product-first mindset with strong opinions on UX. Prepare to talk about how you've used data and customer insights to inform your decisions. Share specific examples of features you've built that provided unique value to users.
