Team Span: responsible for handling a team of 20-50 Developers.
Prioritizes decisions across products.
Establishes alignment on the product roadmap among multiple development teams.
Exerts influence on shaping the company’s roadmap.
Efficiently leads the development of cross-product capabilities.
Contributes to the formulation of the department’s development and training plan.
Advocates for a culture of communication throughout the organization.
Is recognized as an industry expert and frequentlyrepresents CW on industry forum panels.
Proficiently evaluates opportunities in uncharted territory.
Independently identifies, assesses, and potentially manages partnership relationships with external parties.
Delivers leadership and expertise to our continually expanding workforce.
Proven track record as a Product Manager (Ideal but not vital) that owns all aspects of a successful product throughout its lifecycle in a B2B environment.
Knowledge of investments and investment accounting (Very important).
Exemplary interpersonal, communication, and project management skills.
Excellent team and relationship building abilities, with both internal and external parties (engineers, business stakeholders, partners, etc.).
Ability to work well under pressure, multitask, and maintain keen attention to detail.
Strong leadership skills, including ability to influence via diplomacy and tact.
Experience working with Cloud Platforms (AWS/Azure/GCP).
Ability to work with relational and NoSQL databases.
Strong computer skills, including proficiency in Microsoft Office.
Excellent attention to detail and strong documentation skills.
Outstanding verbal and written communication skills.
Strong organizational and interpersonal skills.
Exceptional problem-solving abilities.
Bachelor’s/master’s degree in engineering or a related field.
9+ years of relevant experience.
Professional experience in building distributed software systems, specializing in big data and NoSQL. database technologies (Hadoop, Spark, DynamoDB, HBase, Hive, Cassandra, Vertica).
Experience working with indexing systems such as elastic search, SOLR/Lucene.
Experience working with messaging systems such as Kafka/SQS/SNS.