GeoComply

Tóm tắt công việc

As an Engineering Manager, you will lead a full-stack software engineering team. With a Product Manager, you will shape, drive, and execute your product's roadmap. You will partner with many teams, including Data Science, Account Management, QA, UI/UX, and Customer Support, to align your team’s goals with cross-team support and to work toward a bigger goal of bringing value to GeoComply’s customers. You are responsible for hiring and developing your team members' career paths- fostering a positive cross-team culture that collaborates across remote offices (Asia, North America, and Europe) will be critical. 

Our Benefits:

1. Learning opportunities & personal development allowance
2. 4 weeks vacation & 5 sick leaves
3. Extensive health insurance
4. Competitive salary package, 100% salary during the probation period
5. Attractive bonuses (13th month, business performance, share appreciation rights)
6. Annual salary performance review
7. Hybrid working mode & Modern office at a prime location in District 1
8. Annual company trip & year-end party
9. Quarterly team-building activities
10. In-office snacks and drinks
11. International working environment
12. Weekly yoga classes in the office

About GeoComply

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.

Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.

At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.

Now What? Send us your resume and a cover letter. We Can’t-Wait To Meet You.

Key Responsibilities

• Collaborate with Product Manager & cross-functional team to determine the product roadmap that aligns with the broader company vision;
• Be responsible for the technical architecture and execution/delivery of projects that meet the business objectives;
• Define and continuously optimize your team’s working model (sprint/agile processes) for efficiency & quality;
• Manage & lead the team through critical projects;
• Provide sound judgment on hard tradeoffs between scopes, engineering capacity, and time constraints; 
• Set a high bar for engineering talent recruitment;
• Coach, develop, and grow your engineering team to make bigger impacts and job satisfaction;
• Build a strong culture of teamwork, guide team members to resolve conflicts and help build a cohesive relationship

Who You Are

• 5+ years of professional software development experience;
• 2+ years of management experience leading software engineers;
• Strong communication, leadership, and problem-solving skills;
• Track record of managing, recruiting, and retaining strong engineering talent and growing effective teams;
• Experience working with multi-functional, globally distributed teams to coordinate work and deliver solutions that span multiple teams;
• Experience working with PMs, designers, data scientists, and infrastructure teams to identify opportunities, prioritize roadmaps, and solve problems;
• Strong technical skills with experience in large-scale, distributed systems, including SQL/NoSQL storage, transactional updates, asynchronous processing with message queues like Kafka, logging, system monitoring, and performance tuning;
• Desire knowledge of microservices, distributed systems.

Bonus Points

• Experience with distributed systems, microservices implementation, such as Golang, Scala;
• Experience or having domain knowledge in online payment, eCommerce, credit card processing, risk management, or fraud detection (big plus);
• Experience with Data Analysis and Data Processing using big data technologies: ELK stack (Elasticsearch, Kibana), DataLake, Spark, Hadoop;
• Skilled in Data Science or Machine Learning.