Engineering Manager
Engineering Manager
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$ 120000 - 140000
1 Vacancy
Job Description
About Wunderkind:
Wunderkind isa performance marketing solution that uses AI and data to help brands acquire and retain customers through one-to-one personalized messages across websites email text and ads guaranteeing a lift in revenue. Founded in 2010 Our goal is to scale a brands ability to create and grow customer relationships through websites email text and believe individuals should have the freedom to choose the kind of internet they want. An internet that fosters genuine relationships with brands. An internet that treats humans like real people instead of web also believe in empowering brands to treat their customers as individuals satisfying their unique needs with tailored experiences and thoughtful communication. By expertly personalizing automating and scaling beautiful one-to-one experiences Wunderkind helps brands acquire new customers at scale and keep them loyal for life.
What Youll Do
- Run a team of talented data and backend engineers while building robust & scalable services to be used company wide
- Drive the vision strategy and execution of Wunderkinds data platform team across both Wunderkinds marketing and advertising business verticals including:
- Promotions: how we incentivise someone to purchase
- Compliance: from auditory compliance to contractual compliance
- Data collection: covering both data pipelines the real time event stream including the capturing of real time conversion data
- Data Governance and DataLake Services: how we scale and understand our data from the engineering POV
- Collaborate with internal stakeholders to gather requirements for new data use cases and ensure alignment with business objectives.
- Partner closely with product to deliver scalable safe and high-performance data systems.
- Work with analytics to ensure data quality availability and reliability.
- Lead internal discovery with both technical and non-technical users to understand data needs and use cases.
- Monitor performance metrics and KPIs to ensure services are robust efficient and delivering value.
- Champion best practices around repository health on call practices and code reviews.
- Identify and mitigate risks around data loss privacy violations or compliance issues (e.g. GDPR CCPA Data Acquisition Attacks).
- In partnership with Product define KPIs monitor product performance and continuously prioritize roadmap based on impact scalability and stakeholder feedback.
- Evangelize the importance of high-quality data practices across the organization.
- Educate and enable cross-functional teams (including Product Support and Professional Services) on data platform services capabilities value proposition and features.
What You Bring
- 2-3 years of experience in engineering management ideally with at least 2 years experience building on data platform data infrastructure and/or data collection systems.
- Strong technical understandings covering data streaming technology (e.g. Google Pub/Sub Kafka RedPanda) data pipeline tools (e.g. Airflow Composer) data streaming languages (e.g. Python Spark Scala) backend languages (e.g. GoLang Java) and databases (e.g. relational databases non relational databases and open table format data structures)
- Deep understanding of APIs message streaming and high availability systems
- Excitement to work on data privacy and compliance frameworks.
- Demonstrated success leading cross-functional initiatives with engineering and data teams
- Comfortable balancing technical complexity with user and business value.
- Excellent communication collaboration and project management skills.
Who You Are
- Highly organized and detail-oriented but not afraid to push boundaries or question assumptions.
- A self-starter with a passion for building innovative products in a fast-paced data-driven environment.
- Energized by providing customer value
- Constantly curious about how better to set the team up for success
The base salary range for this role is $120000 to $140000. Actual compensation packages are based on several factors that are unique to each specific candidate; including but not limited to skill set depth of experience applicable certifications and geographic work location. This may vary depending on living location and market rate.
Required Experience:
Manager
Employment Type
Full Time
