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Company

Ternary · 6 hours ago

Engineering Manager

United States

Full-time

Remote

Entry, Mid Level

2+ years exp

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Cloud ComputingFinance

Hiring Manager

Danny Kornreich

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Responsibilities

Guiding and supporting your team to solve the most impactful projects for our customers.

Understanding and supporting direct reports in their career development and growth while balancing overall project priorities, team morale, technical debt, and customer needs.

Lead, hire, and grow a high-caliber team of backend engineers.

Cultivate a culture of blame-free incident analysis and learning.

Act as the tech lead of the team, collaborate with product managers, engineering managers and other stakeholders.

Lead mission-critical projects and ship high quality products.

Work in, or be willing to learn, multiple programming languages: API and backend in Go, Data hacking in SQL (BigQuery), and experience with distributed task execution (Temporal, Airflow).

Build up an enterprise-grade ELT stack based on BigQuery and written in Go. If there's cloud-based billing or usage data out there, we want to ingest and activate it in our platform in the most secure and performant way possible.

Research, evaluate, and apply machine learning and AI models to develop features such as anomaly detection, forecasting, and scenario modeling.

Use the latest Google Cloud functionality to deliver features more easily and reliably. Keep our cloud footprint clean and documented using Terraform.

Share responsibility for the day-to-day operation of our platform.

Mentor other members of the team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Engineering ManagementBackend DevelopmentTechnical DesignCode ReviewsCustomer InteractionTeam Goal MeasurementPlatform ProductsAI Features DevelopmentBig Data TechnologiesGo ProgrammingSQL (BigQuery)Machine LearningTerraformDistributed Task Execution

Required

2+ years of Engineering Management experience - including mentoring and coaching Senior developers in early-stage and enterprise companies.

Prior management of backend feature teams.

Want to keep your sleeves rolled up as a player-coach. A hands-on manager who is willing and adept at delving into the details, remaining hands-on coding, producing technical designs and conducting code reviews.

Passionate and adept at learning new knowledge and skills, skilled at quickly ramping up in new areas.

Have a bias for action, and don’t let sensitive topics fester. Interested in promoting these traits within your direct reports and greater Product Delivery org.

Technical depth allows you to develop and mentor others and build credibility with your team.

Experience interacting with customers, senior executives, and business leads.

Experience establishing and measuring team goals.

Excellent critical thinking and communication skills.

Regularly consider business lens and tradeoffs even for deeply technical engineering problems.

Embody a startup mentality of taking ownership and driving initiatives forward with minimal supervision.

Uphold a high bar by participating in technical discussions, providing feedback on specs, and making recommendations.

Are excited to own new initiatives and take them from 0 to 1.

Ship and own high-impact products end-to-end with high quality.

Are an empathetic person and active listener who loves building solutions to help others.

Have experience in data warehouses and query engines, or classic Big Data technologies: BigQuery, Redshift, Athena, Snowflake, Hadoop and/or Spark.

Preferred

Experience in building platform products, and driving algorithmic and AI powered features is a bonus.

Work in, or be willing to learn, multiple programming languages: API and backend in Go, Data hacking in SQL (BigQuery), and experience with distributed task execution (Temporal, Airflow).

Build up an enterprise-grade ELT stack based on BigQuery and written in Go.

Research, evaluate, and apply machine learning and AI models to develop features such as anomaly detection, forecasting, and scenario modeling.

Use the latest Google Cloud functionality to deliver features more easily and reliably. Keep our cloud footprint clean and documented using Terraform.