Analytics Engineer at Pylon

San Francisco, California, United States

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$180,000 – $300,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, TechnologyIndustries

Requirements

Owned analytics or data modeling for a fast-moving SaaS product
Fluent in SQL and familiar with modern data stacks (dbt, Snowflake, Fivetran, Looker, etc.)
Can translate ambiguous business questions into structured analysis
Motivated by autonomy, high ownership, and fast iteration
In SF (or open to relocating)

Responsibilities

Own our data warehouse: build and maintain pipelines to unify product, GTM, and customer data
Model product usage, feature adoption, and account activity so teams can self-serve answers
Partner with Sales, Success, and Product to answer questions like: “Which enterprise customers use our AI features most?” “Who are great reference customers by usage and size?”
Create dashboards and metrics that the company can operate on
Help design how Pylon measures success across customers and product

Skills

Key technologies and capabilities for this role

SQLdbtSnowflakeFivetranLookerdata pipelinesdata modeling

Questions & Answers

Common questions about this position

What is the salary range for the Analytics Engineer position?

The salary range is $180K - $300K.

Is this role remote or onsite, and where is it located?

The role is onsite and requires being in SF or openness to relocating.

What skills are required for this Analytics Engineer role?

Candidates need to have owned analytics or data modeling for a fast-moving SaaS product, be fluent in SQL and familiar with modern data stacks like dbt, Snowflake, Fivetran, and Looker, and be able to translate ambiguous business questions into structured analysis.

What benefits does Pylon offer?

Benefits include fully covered medical, dental, and vision insurance for employees, retirement savings, 14 company holidays plus unlimited PTO, lunch, dinner and snacks at the office, annual offsite, and relocation and immigration support.

What makes a strong candidate for this role?

A strong candidate has experience owning analytics for a fast-moving SaaS product, fluency in SQL and modern data stacks, ability to handle ambiguous questions, and is motivated by autonomy, high ownership, fast iteration, and is in SF or open to relocating.

Pylon

Digital mortgage integration platform for businesses

About Pylon

Pylon Lending provides a digital mortgage infrastructure that allows businesses to integrate mortgage services into their products efficiently. Their platform offers APIs and pre-built UI components, enabling clients, mainly in the financial and real estate sectors, to embed a complete digital mortgage experience with minimal coding. Unlike traditional mortgage services that require extensive infrastructure, Pylon offers a customizable Software Development Kit (SDK) that covers the entire mortgage origination process, from application to closing. This approach helps clients save time and reduce costs. Pylon's goal is to simplify the mortgage process for businesses, allowing them to launch new mortgage products quickly while enhancing customer satisfaction.

New York City, New YorkHeadquarters

2022Year Founded

$8.3MTotal Funding

SEEDCompany Stage

Fintech, Financial ServicesIndustries

11-50Employees

Benefits

Medical, vision & dental

Unlimited PTO

Hardware allowance

Annual off-sites

Risks

Increased competition from fintech companies could erode Pylon's market share.

Potential regulatory changes may require costly adjustments to Pylon's platform.

Reliance on Citi's trading desk for liquidity poses partnership risk.

Differentiation

Pylon offers a fully digital mortgage experience via APIs and pre-built UI components.

Freddie Mac approval enhances Pylon's credibility in the mortgage industry.

Pylon's platform allows quick integration of mortgage services, reducing time and cost.

Upsides

Citi's investment provides Pylon access to institutional-grade products and rates.

Pylon raised $8.5M in seed funding, boosting its growth potential.

Increased AI adoption in mortgage underwriting can enhance Pylon's platform efficiency.

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