Analytics Engineering Manager
Analytics Engineering Manager
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 315000 - 420000
1 Vacancy
Job Description
About Anthropic
Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.
About the role
As an Analytics Engineering Manager you will lead and build the Analytics Engineering team responsible for creating the foundation that enables datadriven decision making across Anthropic. You will oversee the development of scalable data solutions manage a team of analytics engineers and work closely with stakeholders across Data Science Engineering Product GTM and other areas to ensure teams have access to reliable accurate metrics that can scale with our companys growth. In this role youll balance technical leadership with people management setting the strategic vision for our data infrastructure while developing and mentoring team members.
Responsibilities
- Lead and scale the Analytics Engineering team including hiring and mentoring a team of high performing analytics engineers
- Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization
- Oversee the design and implementation of scalable data pipelines data models and analytics solutions
- Partner with Data Science Engineering Product GTM and other leadership to understand data needs and translate them into technical requirements
- Establish and maintain high data integrity standards SLAs alerting and best practices for the team
- Drive the development of foundational data products dashboards and tools to enable selfserve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data driven decisions across the company
- Collaborate with crossfunctional leaders to influence product and GTM roadmaps from a data systems perspective
- Foster a culture of technical excellence continuous learning and datadriven decision making
- Manage resource allocation project prioritization and team capacity planning
- Serve as a technical thought leader for data modeling ETL processes and analytics infrastructure
You may be a good fit if you have
- 5 years of experience managing analytics engineering or data engineering teams preferably in a scaling startup environment
- 10 years of total experience in analytics engineering data engineering or similar datafocused roles
- Deep expertise in data modeling ETL pipelines and data warehouse architecture
- Proven track record of building and leading highperforming teams
- Strong technical foundation with expertise in SQL Python dbt and modern data stack tools
- Experience partnering with Product Engineering and GTM leaders to deliver key companywide metrics
- Demonstrated ability to balance strategic thinking with handson technical leadership
- Excellence in stakeholder management and crossfunctional collaboration
- Strong communication skills with the ability to translate complex technical concepts for diverse audiences
- Experience scaling analytics functions from early stage to maturity
- Track record of establishing data governance quality standards and best practices
- A passion for Anthropics mission of building helpful honest and harmless AI
Strong candidates may also have
- Experience building analytics engineering functions from scratch at highgrowth startups
- Background in AI/ML companies or similar technical domains
- Expertise with cloud data warehouses (BigQuery Snowflake etc.) and orchestration tools
- Track record of implementing selfservice analytics platforms
- Experience with data governance and compliance in regulated industries
- Prior experience in a playercoach role balancing handson technical work with management
- Contributions to opensource data tools or communities
The expected salary range for this position is:
Annual Salary:
$315000 $420000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.
Locationbased hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.
How were different
We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact work at any given time. As such we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT3 CircuitBased Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues.
Required Experience:
Manager
Employment Type
Full Time
