Software Engineer, Arta Finance
Data Infrastructure and Performance Metrics
$110-300k
3 days a week in office
Consumer finance & wealth management platform
Open for applications
Consumer finance & wealth management platform
101-200 employees
Open for applications
$110-300k
3 days a week in office
101-200 employees
Company mission
To help people enjoy more successful financial lives, to build the future they want.
Role
Who you are
- 3+ years experience in software engineering with a primary focus on the reliability, observability, and maintainability of production-grade systems
- Proven experience building and maintaining scalable data infrastructure, including end-to-end ingestion, validation, and integration pipelines for complex datasets
- Proficiency in optimizing data-processing workflows and calculation performance to handle high-volume portfolio data efficiently and reliably
- Demonstrated ability to develop internal tools and dashboards that improve data quality, business intelligence, and self-service analytics capabilities
- Strong capacity to design and implement robust, reusable data schemas and workflows that adapt to evolving product needs and B2B integrations
- A collaborative mindset that prioritizes shared ownership, operational resilience, and effective cross-functional teamwork
- Hands-on experience with distributed data-processing approaches and managing computationally intensive workloads
- Experience with Financial dataset is a plus
What the job involves
- This role offers a mix of data infrastructure, distributed systems, financial data, and product engineering. You will work on systems that ingest and normalize complex financial datasets, calculate portfolio and investment metrics at scale, and turn that data into reliable products and experiences for our clients
- Market Data & Core Data Infrastructure - We are expanding market-data coverage across additional global markets and expect to support increasingly rich instrument-level datasets over time
- The team owns core data infrastructure responsible for mapping, cleaning, formatting, and validating data across dozens of pipelines and services
- Expand global market and instrument data coverage
- Build and improve reusable data-processing infrastructure
- Strengthen data quality and validation systems
- Improve the reliability and maintainability of a large collection of production data pipelines
- Establish better patterns for shared ownership and operational resilience
- Alternative Investments Data - We are expanding our support for alternative investment data. This work spans the full data lifecycle, from bringing new data into the platform to making it reliable and useful to end users
- Backend data ingestion, validation, and integration with downstream systems
- Frontend experiences for displaying investment data
- Internal tooling for identifying, validating, and correcting data issues
- Tools and workflows for onboarding new accounts and funds
- Ongoing improvements as we support more accounts, funds, and data sources
- Investment Performance Metrics - We operate services that calculate investment performance metrics across client portfolios. As the number of accounts and volume of data grow, we are investing in making these systems significantly more scalable and efficient
- Improving how large volumes of portfolio data are read and processed
- Optimizing performance calculations and reducing processing time
- Evaluating distributed data-processing approaches for computationally intensive workloads
- Simplifying existing calculation pipelines as we integrate additional external data sources
- Improving the reliability, observability, and maintainability of performance systems
- B2B Asset Master - We are building an Asset Master to support B2B agentic workflows, with a focus on providing reliable and structured asset data to downstream workflows
- Building and maintaining data feeds for B2B agentic workflows
- Improving data quality and reliability
- Supporting new B2B integrations and use cases as they grow
- Business Intelligence & Metrics - The team owns and improves our internal business intelligence and metrics dashboards, which provide visibility into key business, product, and operational metrics which includes the following:
- Maintaining and improving BI dashboards and reporting
- Building new metrics and views as business needs evolve
- Ensuring the underlying data is accurate, reliable, and easy to understand
- Improving the overall self-service analytics experience across the company
Application process
- Introduction with Head of Talent, 20-30m
- Engineering Team Conversation 30m- PHONE CALL
- Coding/Algorithm/Data Structures, 60m - VIRTUAL
- Coding/Algorithm/Data Structures, 60m - ONSITE
- Domain Knowledge & System Design, 60m - ONSITE
- Co-founder Interview, 30m
Our take
The “family office” is a financial management team that takes care of investments, family finances and growing wealth. Traditionally, this has been off-limits to everyone except the super-rich. However, Arta Finance believes it can leverage big data, AI, and fintech to bring these services to the masses.
Though there is no shortage of financial management and investment platforms out there, Arta is offering something a little different with its AI-managed portfolios. These stand out because of the use of user data and input to personalize the choices of stock purchases and other decisions.
Arta emerged from stealth in the fall of 2022 with a substantial funding round and has since pursued speedy growth. In 2023, its digital family office platform opened to all qualified investors in the US, and in 2025, it expanded access to Arta AI to global wealth advisors and managers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
66% employee growth in 12 months
Company
Funding (1 round)
Nov 2022
$90m
SERIES A
Total funding: $90m
Company benefits
- We have a robust health insurance offering for you and your family
- High deductible health plan available with health savings account contribution
- Complimentary One Medical membership for individuals and dependents
- 20 weeks of parental leave
- 15 days PTO annually plus national and company holidays
- Remote-work friendly
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Charles Dong
(Co-Founder & Product)Spent five years at Google as PM Lead & Head of Growth for Tez and GPay, following a two year spell as Product Manager at Box.
David Shapiro
(Co-Founder)Spent 15 years as Vice President at American Express before joining Google for 12 years, serving as Chief Business Officer of the Next Billion Users initiative, and Global Director of Chrome OS and Android Marketing.
Edward Chiang
(Co-Founder & Product)Spent 12 years as a Director of Product Management at Google in California then Singapore.
Felix Lin
(Co-Founder & CEO)Former CEO of PickPackGo and Qurb, Inc. Spent 12 years at Google as VP of Payment Ecosystems and VP, Product Management for Chrome OS.
Zelidrag Hornung
(Co-Founder & CTO)Former Software Design Engineer Lead at Microsoft, later spending 13 years at Google as a Senior Director of Engineering.
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