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About OpenArt
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We\u2019re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we\u2019re shaping that future.<\/p>\n
Why Join OpenArt
Own the\u00a0entire data foundation\u00a0of a fast-scaling AI company \u2014 from raw data to executive metrics.
Build from 0 1 \u2014 define the architecture that powers product, finance, and company-wide decision making.
High visibility and impact \u2014 your work directly informs leadership, product direction, and company strategy.
Founder-led, fast-moving culture \u2014 high ownership, low process, high trust.
AI-native company \u2014 help define how data supports AI systems, agents, and long-term intelligence.
7\u201310X revenue growth over the past 2 years \u2014 now scaling the data layer to match.
About the Role
We\u2019re looking for a\u00a0Founding Data Engineer\u00a0to\u00a0build and own OpenArt\u2019s core data platform and source of truth, supporting product, finance, and leadership decision-making.<\/p>\n
This is a\u00a00 1 role\u00a0focused on\u00a0data reliability, modeling, and long-term scalability\u00a0\u2014 not just analytics or dashboarding.<\/p>\n
You will define how data is structured, validated, and served across the company \u2014 ensuring that key metrics are\u00a0consistent, trusted, and production-grade.<\/p>\n
You\u2019ll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.<\/p>\n
What You\u2019ll Do
Design and build\u00a0core data pipelines\u00a0(e.g., product events, payments, internal systems BigQuery)
Define and maintain the\u00a0data warehouse architecture, including schema design, data modeling, and table structure
Establish and own the\u00a0single source of truth (SOT)\u00a0for product and business metrics
Build and maintain\u00a0core data models\u00a0(user, subscription, revenue, engagement, etc.)
Ensure\u00a0data consistency across systems\u00a0(product analytics, billing, internal tools)
Lead\u00a0data reconciliation efforts\u00a0(e.g., Stripe vs internal systems vs reporting)
Implement\u00a0data quality checks, validation, and monitoring systems
Build\u00a0reliable reporting layers\u00a0used by leadership and finance (not ad hoc dashboards)
Establish\u00a0data standards and contracts\u00a0(event naming, schema governance, tracking consistency)
Partner with engineering to improve\u00a0instrumentation and data correctness at source
Support downstream teams (analytics, DS) by providing\u00a0clean, well-documented datasets
Continuously improve\u00a0data reliability, performance, and cost efficiency
What We\u2019re Looking For
Core Requirements<\/p>\n
5+ years of experience in\u00a0data engineering or analytics engineering
Proven experience building\u00a0data platforms or warehouses from 0 1
Strong SQL and Python \u2014 you write\u00a0clean, production-quality data code
Deep expertise in\u00a0data modeling, ETL\/ELT design, and warehouse architecture
Experience with modern data stack:<\/p>\n
BigQuery \/ Snowflake \/ Redshift
dbt or similar transformation tools
Workflow orchestration tools (Airflow \/ Prefect or similar)
Experience working with\u00a0financial and product data\u00a0(e.g., payments, subscriptions, usage data)
Strong understanding of\u00a0data reliability, testing, and validation
Ability to translate business definitions into\u00a0durable, consistent data models
High ownership \u2014 you can define and drive architecture decisions independently
Comfortable operating in\u00a0ambiguous, fast-moving environments
Nice to Have<\/p>\n
Experience building\u00a0data systems for finance or revenue reporting
Experience with\u00a0data reconciliation across multiple systems
Familiarity with BI tools (Metabase, Looker, etc.)
Experience designing\u00a0semantic layers or metric definitions
Prior experience as an early or founding data hire
Tech Stack You\u2019ll Work With
BigQuery, dbt (or similar), Airbyte\/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP<\/p>\n
Compensation
Competitive base salary and bonus program
Equity \u2014 meaningful ownership in what you build
High autonomy, high growth environment
Work Setup
Bay Area preferred (hybrid allowed)
Visa sponsorship available
We\u2019ll consider remote<\/p>","protected":false},"author":10,"featured_media":0,"template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"pmpro_default_level":"","_promoted":"","_job_location":"California","_application":"https:\/\/www.indeed.com\/viewjob?jk=1ad745848a72d300&tk=1jknlr2usg1gr80d&from=serp&vjs=3","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":"","_joinchat":[]},"job-types":[396],"class_list":{"0":"post-14028","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"pmpro-has-access","7":"job-type-visa-sponsorship"},"_links":{"self":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-listings\/14028","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/users\/10"}],"wp:attachment":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/media?parent=14028"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-types?post=14028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}