Collective

Data Engineer

• Design, build, deploy, and maintain scalable batch and event-driven data pipelines
• Ingest data from application databases, SaaS tools, and external APIs into BigQuery using Fivetran, custom Python loaders, and orchestration tooling
• Design and implement dimensional and analytical data models in dbt using raw, staging, and marts layers
• Implement testing, monitoring, alerting, and data contracts across pipelines
• Define and meet freshness and accuracy SLAs
• Triage and resolve pipeline failures and data incidents to root cause
• Tune warehouse queries, partitioning, and clustering
• Manage BigQuery spend and pipeline efficiency as data volume grows
• Establish version control, code review, CI/CD, and infrastructure-as-code best practices
• Document systems and runbooks
• Implement access controls, PII handling, and data retention practices
• Partner with Security and Legal on compliance requirements
• Partner with product engineers on source schema design and change management
• Translate business questions into reliable datasets, metric definitions, and self-serve reporting in Metabase
• Maintain the semantic layer, metric definitions, and documentation supporting accurate LLM-based tools and internal agents

AI Data Engineer, Data Platform

Product Manager

• Own product area vision, strategy, implementation, and customer and business outcomes for core product areas
• Work with AI engineers and subject matter experts to create AI-driven product experiences, including intelligent automation using LLMs and agentic systems
• Partner with operational teams to provide effective tools and workflows
• Identify opportunities where product automation and AI can unlock efficiencies
• Lead and inspire a cross-functional team to ship innovative experiences
• Analyze business and product performance to focus on high-leverage opportunities balancing long-term growth and immediate business needs
• Manage the roadmap and team processes to improve quality and execution velocity
• Make tradeoff decisions between business priorities and available resources
• Build effective partnerships across functions, product teams, and external partners
• Define impact measurement frameworks and metrics, understand core drivers, and monitor progress
• Lead critical foundational product areas and expansion into potential new product verticals
• Build a category-defining product function and embed AI into the core product surface layer

Product Lead

• Understand clients’ financial backgrounds and goals and identify optimization opportunities
• Review, deliver, sign, and file federal and state tax returns, including Forms 1040 and 1120-S
• Deliver high-quality results while upholding federal and state compliance requirements
• Support tax professionals with day-to-day tasks and continued growth
• Mentor, train, and provide feedback to junior tax staff
• Manage competing priorities and deadlines during tax season
• Communicate tax updates and answers across the organization
• Research and analyze tax laws, regulations, and policies
• Maintain current knowledge of tax-law changes and compliance impacts
• Collaborate with leadership and other departments on complex tax issues
• Serve as a subject matter expert on tax matters and return completion

AI Data Engineer, Data Platform

Product Lead

Seasonal Tax Compliance Manager