Manager, Agentic Analytics Platform Engineering

DigitalOcean, LLC

Seattle, United States

11 days ago

Apply on startup.jobs

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$160,000.0 - $195,000.0

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Artificial Intelligence BigQuery Data Discovery Information Engineering Data Structures Relational Databases PostgreSQL Natural Language Processing Performance Tuning Digitalocean SQL Databases Enterprise Data Management

+7 more

Snowflake Data Layers Core Data Information Technology Data Lineage Tools for Reporting Looker Analytics

Job description

Strategic Roadmap & AI Innovation: Own the strategic vision and technical roadmap for building and deploying a cutting-edge, AI-enabled analytics solution to automate insights and streamline data discovery.
Semantic Layer Architecture: Lead the design, implementation, and governance of centralized enterprise semantic layers to ensure unified metrics definitions, data lineage, and seamless self-service BI reporting.
Data Modeling & BI Infrastructure: Oversee the development of sophisticated data models and architectures using dbt to support efficient data availability, governance, and advanced dashboarding.
Team Leadership & Coaching: Manage, mentor, and scale a collaborative team of engineering professionals, giving them the autonomy and resources to deliver high-impact business outcomes.
Cross-Functional Collaboration: Partner closely with executive stakeholders, product managers, data scientists, and finance leads to translate evolving business goals into robust technical frameworks.
Performance Optimization & Pipeline Health: Ensure the operational excellence, reliability, and performance optimization of core data pipelines, warehouses, and reporting tools.

Requirements

Proven Leadership: Prior experience directly managing, motivating, and retaining high-performing technical teams within the data engineering, analytics, or BI space.
Advanced Analytics Expertise: Strong hands-on technical background in dbt, SQL, relational databases (e.g., PostgreSQL), and enterprise data warehousing solutions like Snowflake, BigQuery, or Redshift.
Semantic & BI Tool Mastery: Demonstrated experience building centralized semantic layers and leveraging enterprise BI platforms (Looker preferred).
AI & Predictive Capabilities: Familiarity or direct experience incorporating AI tools, natural language processing, or predictive models into BI frameworks to enhance user data interaction.
Executive Communication: Exceptional aptitude for translating complex data structures into actionable insights and presenting technical trade-offs clearly to internal business partners.
Educational Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical work experience.

About the company

We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning’s 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.