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Senior Fullstack Engineer, Data & Finance

Anywhere
full-time
Posted 9/23/2025
Verified Source
Key Skills:
TypeScript
JavaScript
Python
ETL
Product analytics tools (Amplitude, Mixpanel, Segment)
Cloud data stacks (dbt, Fivetran, Snowflake)
AI and machine learning concepts
Full-stack development
SaaS instrumentation

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Architect and maintain integrations between GTM systems, product analytics, and data warehouses while building AI-enabled automation tools and collaborating cross-functionally to translate business needs into technical solutions.

Requirements

5+ years experience in software or data engineering, proficiency in Python/TypeScript/JavaScript, experience with ETL, cloud data stacks, product analytics tools, AI concepts, and strong cross-team communication skills.

Full Description

Description: • Architect, build, and maintain integrations between GTM systems, product analytics platforms, and data warehouses • Own administration and optimization of key platforms, ensuring data integrity and usability • Collaborate with Product and Engineering to instrument events and validate product usage and engagement data • Partner with Sales, Marketing, Product, and Finance to translate business needs into robust technical solutions • Build automation and AI-enabled tools to reduce manual work and improve decision-making • Improve communication between disconnected data systems and build infrastructure for faster decision-making • Lay the foundation for AI-enabled insights (e.g., churn forecasting, internal AI agents) and internal tooling Requirements: • 5+ years of experience in a hands-on software engineer, data engineer, or systems engineer role • Full-stack working knowledge of Python/TypeScript/JavaScript to manage product analytics instrumentation in SaaS apps • Querying and implementing ETL processes across disparate databases • Familiar with modern cloud data stacks (e.g., dbt, Fivetran, Snowflake) • Experienced with implementing and managing product analytics tools (e.g., Amplitude, Mixpanel, Segment) • Experienced with (or excited by) AI and statistical or other machine learning concepts like predictive modeling, AI agents, and automation • Comfortable owning the full lifecycle: scoping, designing, building, delivering, and maintaining technical solutions • Ability to interface with Product, Sales, Marketing, and Finance to translate business needs into technical deliverables • Excited by and attuned to the mechanics of modern SaaS businesses • Strong sense of accountability and ownership • Located in the US (ET, CT, MT, PT) Benefits: • Competitive compensation including an organization-wide goal-based bonus • Paid Time Off: 5 Weeks PTO upon joining + Winter Holiday Break; 2 extra PTO days each year • 80% Work Option: choose between 5 day weeks (full-time) or 4 day weeks @ 80% pay • Paid Parental Leave for primary and secondary caregivers • Sabbatical: 1 month paid sabbatical after 5 years • Healthcare (US residents): Medical, Dental, Vision with HSA option; Dependent care FSA • 401k (US residents): 6% match with immediate vesting • 100% remote work

This job posting was last updated on 9/26/2025

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