Job Overview
Location
San Francisco
Job Type
Full-time
Category
Data Engineer
Date Posted
February 25, 2026
Full Job Description
đź“‹ Description
- • As a Senior Analytics Engineer at Speak AI Inc., you will be instrumental in architecting and refining the data foundations that power our mission to revolutionize language learning. Your role is central to democratizing data across the organization, ensuring that every team has the insights needed to make informed, strategic decisions. You will be the architect of our data's reliability and accessibility, building robust data models, defining critical metrics, and managing the tools that enable self-service analytics.
- • Your primary responsibility will be to build and optimize our data infrastructure. This involves managing and implementing scalable data pipelines, leveraging tools like Airflow for efficient workflow orchestration and dbt for powerful data transformation. The goal is to ensure a seamless, reliable, and performant flow of data from source to insight, supporting the rapid growth and evolving needs of a leading AI company.
- • You will be a key enabler of data-driven decision-making. This means collaborating closely with product managers, data analysts, and software engineers to understand their needs and translate them into well-defined data models and metrics. Your work will directly influence product strategy, user engagement initiatives, and business development by providing clear, actionable insights derived from our vast datasets.
- • A significant aspect of your role will be proactive evaluation and enhancement of our data platform tooling. You will explore, implement, and manage a suite of tools that make answering questions with data as frictionless as possible for all stakeholders. This could include data ingestion tools, reverse ETL solutions, visualization platforms, data observability tools, and alerting systems, ensuring our data ecosystem is modern, efficient, and user-friendly.
- • Collaboration and systems thinking are at the core of this position. As a central node within the data team, you will partner with diverse cross-functional teams to design and implement data solutions that address complex business challenges. You will apply your systems thinking to ensure that data processes are scalable, maintainable, and aligned with Speak's overall technical strategy.
- • You will be responsible for establishing and maintaining a single source of truth for key business metrics. This involves meticulous data modeling, rigorous data quality checks, and clear documentation to ensure consistency and trust in the data used across the company.
- • This role offers a unique opportunity to work with cutting-edge AI technology and contribute to a product that has a profound impact on people's lives. You will be part of a fast-growing, well-funded company that has achieved significant product-market fit and is poised for global expansion.
- • You will contribute to the development of best practices in data engineering and analytics, fostering a data-centric culture within Speak. This includes mentoring junior team members, sharing knowledge, and advocating for data quality and governance.
- • The ability to translate complex technical concepts into understandable terms for non-technical audiences will be crucial. You will present findings, create documentation, and facilitate discussions to ensure that data insights are effectively leveraged by all departments.
- • You will actively participate in the full data lifecycle, from data ingestion and transformation to modeling, analysis, and visualization, ensuring a cohesive and efficient data flow that supports business objectives and user learning outcomes.
- • Your work will directly contribute to Speak's mission of making language proficiency accessible to millions, by providing the data infrastructure and insights necessary to understand user behavior, optimize the learning experience, and drive business growth.
🎯 Requirements
- • 5+ years of relevant experience in data engineering, analytics engineering, or a related field.
- • Deep understanding of data warehousing principles and experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data pipeline tools (e.g., Airflow, dbt).
- • Strong proficiency in SQL and experience with Python for data manipulation and scripting.
- • Experience managing and implementing data platform tooling, including data ingestion, reverse ETL, visualization, and data observability solutions.
🏖️ Benefits
- • Competitive salary and equity package.
- • Comprehensive health, dental, and vision insurance.
- • Opportunity to work with a world-class team on a product with a significant global impact.
- • Generous paid time off and flexible work arrangements.
- • Professional development and learning opportunities.
Skills & Technologies
Python
Node.js
AWS
GCP
Senior
Onsite
About Speak AI Inc.
Speak AI Inc. provides an AI-powered platform that records, transcribes, and analyzes audio, video, and text data in over 70 languages. It converts unstructured conversations into searchable, shareable insights and automatically identifies keywords, topics, and sentiment. Teams use the service for qualitative research, sales calls, meetings, and academic interviews, gaining dashboards and reports without manual tagging. The company also offers an API and integrations with Zoom, Google Meet, and other tools, enabling embedded transcription and analytics workflows.
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