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Architect
at Everstring
San Mateo, CA
Description
EverString helps build new pipeline and increase conversion rates with the only account-based, full lifecycle, predictive platform for B2B sales and marketing. The EverString Decision Platform identifies a company’s ideal customer profile, and then finds the prospects that best fit that profile, both inside and outside the existing pipeline. EverString’s SaaS platform provides Predictive Scoring, Predictive Demand Generation and Predictive Ad Targeting, empowering marketers with the full potential of predictive analytics and applied data science. EverString is backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, IDG Ventures and Lakestar.
EverString’s work environment is grounded in the principles of introspection, innovation and a one-team mentality. We are dedicated to the wellbeing of our team members, and we provide strong mentorship, daily lunches, weekly happy hours, in-house workout classes, and a commitment to supporting your personal and professional growth.
About this role
As a member of the architect team, you are responsible for designing predictive analytics platform architecture and driving the implementation of the architecture. You will also provide direction in overall EverString application architecture, security and legal compliance, coding standards, systems design, and architecture governance.
Responsibilities
Defining, communicating and driving the EverString analytics platform architecture that supports product strategy and roadmap
Documenting the platform architecture and driving the architecture implementation
Collaborating with product managers, data scientists, and lead engineers to develop technical design specifications
Reviewing and monitoring the technical designs and implementations by the engineering teams to ensure architecture consistency
Qualifications / Skills
Successful track record as architect or technical lead for at least one analytics platform or analytical product with production customers.
Significant experience at startups as well as successful/more established companies.
Experience writing technical documents and working with teams to drive reference implementation to production scale
Strong grasp of system architecture/design principles/object design, CS fundamentals and programming fundamentals.
Strong analytical and problem solving skills. Ability to hit the ground running and learn/adapt quickly.
Strong leadership and ability to work with/influence cross-functional teams. Excellent written and verbal communication skills.
Hands-on experience with building highly scalable and distributed NoSql and search systems: Redis, Kafka, Hbase, Elastic Search/Solr
Experience with open-sourced big data and distributed frameworks is a big plus: Hadoop, Spark, or Graphlab
Experience with data modeling and metadata management is a plus
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