Senior Fullstack Engineer, Data & Finance (USA Only - 100% Remote) at Close

United States

Close Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
NoVisa
SaaS, CRM, BiotechnologyIndustries

Requirements

Candidates must have 5+ years of experience in a hands-on software, data, or systems engineering role with a proven ability to build scalable systems at the intersection of data, business, and product. Full-stack working knowledge of Python/TypeScript/JavaScript is required, along with experience querying and implementing ETL processes across disparate databases. Familiarity with modern cloud data stacks like dbt, Fivetran, and Snowflake, and experience with product analytics tools such as Amplitude, Mixpanel, or Segment are necessary. Experience with or excitement for AI, statistical or machine learning concepts like predictive modeling, AI agents, and automation is also required. Candidates must be comfortable owning the full lifecycle of technical solutions, understanding modern SaaS business mechanics, and be driven by a strong sense of accountability and ownership. The role requires the candidate to be located in the US.

Responsibilities

The Senior Engineer will architect, build, and maintain integrations between GTM systems, product analytics platforms, and data warehouses. They will own the administration and optimization of key platforms, ensuring data integrity and accessibility. The role involves improving how systems communicate, building underlying infrastructure for data access, unifying GTM, Finance, and Product data, and automating workflows. Additionally, the engineer will lay the foundation for AI-enabled insights and internal tools, such as churn forecasting or internal AI agents, and help build the brain and backbone of a next-generation business engine.

Skills

Data Engineering
Finance Systems
Product Analytics
GTM Analytics
AI
Infrastructure
Integrations
Churn Forecasting
Business Intelligence
Backend Development
Frontend Development
CRM
Python
Ruby
JavaScript
SQL
AWS
Docker
Kubernetes

Close

CRM platform for startups and SMBs

About Close

Close provides a customer relationship management (CRM) platform tailored for startups and small to medium-sized businesses (SMBs). The platform enhances communication and minimizes manual data entry, allowing sales representatives to work more efficiently. Close's features include a user-friendly interface and automation tools that aim to double the productivity of sales teams. Unlike many competitors, Close operates on a subscription-based model and is a bootstrapped, profitable company with a fully remote team of around 90 employees. The company prioritizes autonomy and asynchronous communication, enabling team members to work from anywhere. Close's goal is to create a desirable work environment while maintaining transparency and investing in team growth, all while focusing on productivity and quality without micromanagement.

Toronto, CanadaHeadquarters
2013Year Founded
$243.2KTotal Funding
SEEDCompany Stage
Enterprise SoftwareIndustries
51-200Employees

Benefits

PTO
Family leave
Medical, dental, & vision coverage
401k with 6% match
Company goal-based bonus
Coworking stipend
Paid 4-week sabbatical
Flexible working hours

Risks

Emerging competitors like Celestia could threaten Close's market position.
Innovative platforms like Loft may raise CRM expectations in related industries.
Diversification trends in adjacent markets may pressure Close to expand offerings.

Differentiation

Close offers a user-friendly interface focused on sales productivity and automation.
The company operates with a 100% remote team, emphasizing asynchronous communication.
Close is bootstrapped and profitable, maintaining autonomy and transparency in operations.

Upsides

Increased CRM adoption due to remote work trends benefits Close's market position.
AI-driven automation tools align with Close's focus on reducing manual data entry.
The CRM market's projected growth offers significant opportunities for Close.

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