Building the Future of Open Finance
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.
The team
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Growth Foundations team builds the AI-native Growth Engine, enabling Growth teams across the company. We design and ship powerful AI-driven systems, tools and automations, as well as own the core infrastructure of Growth tools such as our website, user communications and martech. It’s a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally.
The Role
As an Engineering Manager within Growth Foundations, you’ll lead and develop a team of engineers who deliver high-impact features, platforms, and tools that power our growth. You’ll ensure the team is aligned, supported, and set up to execute with excellence — turning complex challenges into simple, reliable solutions that reach users around the world. You will also stay hands-on and deliver production grade features personally every day.
The opportunity
- Lead, mentor, and support a cross-functional team of engineers delivering growth-critical systems and features
- Collaborate daily with Product and Design to define scope, set priorities, and ensure seamless execution
- Keep projects moving forward — maintaining clear expectations, realistic estimates, and transparent communication with stakeholders
- Provide technical guidance and context to help engineers make sound architectural and implementation decisions
- Foster a culture of accountability, trust, and learning — helping the team grow their impact and autonomy
- Improve team processes, communication, and collaboration across time zones
- Partner with other engineering leaders to ensure consistency and best practices across the broader Growth organization
- Leverage AI tooling daily to boost personal and team productivity
- Stay hands-on in the codebase, writing production-grade code and setting the bar for quality, reliability, and speed
We give engineers ownership and trust them to ship high-impact work with craftsmanship and accountability. We move quickly, experiment often, and learn continuously from data and user feedback. We build acquisition and engagement experiences that are fast, resilient, and measurable. We collaborate asynchronously across time zones, connected by clear communication and shared goals.
What you bring
- Experience leading engineering teams and delivering high-quality results in a collaborative environment
- Strong people leadership skills — you invest in coaching, clarity, and empowerment
- Solid technical foundation, especially on the backend; you can engage in design discussions, code reviews, and help engineers make pragmatic decisions
- Strong individual contributor background — you write production-grade code and lead by example
- High proficiency in modern AI-driven development — you use AI daily to boost personal and team performance through automation
- Familiarity with one or more modern programming languages (e.g. TypeScript, Rust, Go, Python, or similar)
- A product mindset — you care about how your team’s work impacts users and moves key metrics
- Clear communication and organizational skills, with the ability to align engineering efforts with business goals
- Experience working in distributed, remote-first teams
Nice to haves
- Experience with analytics, performance/paid marketing, experimentation, or growth tooling
- Background in developer experience, SDKs, or internal platforms
- Exposure to scaling teams or processes during high-growth phases
