Staff Backend Engineer, Customer Operations

Posted about 1 month agoViewed

💎 Seniority level: Staff

📍 Location: UK

💸 Salary: 140000 - 165000 GBP per year

🔍 Industry: Financial Technology

🏢 Company: Monzo👥 1001-5000💰 Secondary Market 3 months ago🫂 Last layoff over 4 years agoFinancial Services Banking Wealth Management FinTech

🗣️ Languages: English

🪄 Skills: LeadershipArtificial IntelligenceMachine LearningStrategy

Track record of technical excellence in delivering resilient systems, ideally in consumer products.
Experience in solving complex human + tech problems at scale.
Technical leadership experience across multiple teams to address optimization challenges.
Strong quantitative mindset and data-informed decision-making.
Comfortable in cross-functional teams dealing with ambiguity.
Experience or desire to work with Machine Learning specialists.
Demonstrable experience collaborating with senior non-technical stakeholders.

Partner with the Engineering Director to support technical leadership across multiple squads and engineers.
Identify and execute on opportunities with product and operational leaders to meet organizational goals.
Solve multi-faceted optimization challenges, including workforce management and customer support efficiency.
Contribute to both strategic planning and detailed execution of technical projects.
Lead architectural discussions to ensure robust and optimal system solutions.
Mentor and support the growth of engineering teams.

Posted 29 days ago

📍 UK

🧭 Full-Time

💸 140000.0 - 165000.0 GBP per year

🔍 Finance / Banking

Track record of technical excellence and delivering resilient systems in consumer products.
Experience solving human and tech problems at scale.
Technical leadership across 3-4 teams for complex optimization problems.
Quantitative mindset with a focus on data-informed decision making.
Comfortable in cross-functional teams dealing with ambiguity.
Experience collaborating with Machine Learning specialists on real-world applications.
Demonstrable experience working with senior-level non-technical stakeholders.

Partner with the Engineering Director to provide technical leadership across 3+ squads and ~20 engineers.
Work collaboratively with product, data, and operational leaders to identify and execute on strategic opportunities.
Solve optimization problems at scale, including leveraging technologies like LLMs to aid human workers.
Balance high-level strategy with hands-on execution as necessary.
Lead architectural discussions for complex systems to ensure robust and optimal solutions.
Maintain high technical standards and mentor engineers.

LeadershipArtificial IntelligenceMachine LearningStrategyCross-functional collaboration

Posted 29 days ago

Posted 4 months ago

📍 UK

🧭 Full-Time

💸 £140,000 - £165,000 per year

🔍 Finance / Banking

A track record of technical excellence, delivering resilient systems, ideally behind consumer products.
Experience in solving human + tech problems at scale.
Technical leadership across 3-4 teams to solve complex optimisation problems.
Quantitative mindset: cares about outcomes and makes data-informed decisions.
Comfortable working in a cross-functional team that deals with ambiguity.
Experience working with Machine Learning specialists to apply models to real-world problems.
Demonstrable experience working with stakeholders, including senior non-technical stakeholders.

Partner with the Engineering Director supporting the collective and provide technical leadership across 3+ squads and ~20 engineers.
Work collaboratively with product, data and operational leaders to identify and execute on opportunities that further the organisation’s goals and strategy, bringing the right level of clarity, urgency and rigour as appropriate.
Work on solving multi-faceted optimisation problems at scale, such as how to maximise the leverage of technologies like LLMs to aid human workers or how to forecast, schedule and efficiently route requests through a workforce of thousands of people.
Oscillate between contributing to high-level planning and strategy and organizational leadership and diving deep into the execution of problems and getting hands-on as necessary.
Use expert knowledge and experience to lead architectural discussions for the most complex systems in the collective to arrive at robust and optimal solutions.
Keep a high bar for technical excellence in the collective through own work, highlighting the work of others and calling out when things haven’t quite met the bar.
Pro-actively mentor, sponsor and up-level engineers.

LeadershipArtificial IntelligenceMachine LearningStrategy

Posted 4 months ago

🔧 Requirements