Arta is on an audacious and incredibly rewarding mission: to pave the way for people everywhere to lead more successful financial lives. Arta leverages AI and sophisticated digital tools—once reserved for ultra-high-net-worth individuals—and makes them accessible to a broader global audience. Think of it as your own digital family office, combining intelligent investment strategies, alternative assets, private market access, and smart automation to help you grow and protect your wealth effortlessly. We value trust, teamwork, and adaptability. Think: intelligent investing, personalized portfolios, and real-time trading, all backed by robust data infrastructure.
Arta is building an AI-native wealth platform that expands access to sophisticated investment strategies — including private markets such as private equity, venture capital, private credit, and other alternative assets.
We are looking for a senior software engineer to work closely with the Private Investments Team to build and scale our Alternatives platform and go-to-market capabilities.
This role sits at the intersection of:
software engineering
private markets / alternative investments
product and platform design for institutional and high-net-worth clients
You won’t just be handed specs — you’ll help define how alternative investments are structured, delivered, and scaled through software.
If you’re excited about building products that bring traditionally opaque, manual asset classes into modern, scalable platforms — this will be a strong fit.
Design, build, and own end-to-end backend systems powering the alternatives platform, working closely with product and business stakeholders to develop, ship, and iterate on features across the full lifecycle of private market investments—from fund onboarding and deal execution to capital calls and distributions.
Architect scalable data models and services to support complex fund structures and investor allocations, ensuring consistency, accuracy, and extensibility across the platform.
Develop robust APIs, workflows, and internal tooling that enable reliable tracking of performance, cash flows, and portfolio exposure across alternative assets, while supporting operational efficiency for internal teams and seamless integration with user-facing applications.
Partner directly with Private Investments Team to translate investment strategies into scalable product experiences
Build internal and client-facing tools that support fund launches, client onboarding, and investor reporting
Enable operational workflows that are traditionally manual (subscription docs, diligence workflows, reporting)
Work cross-functionally with investment, product, legal, and operations teams
Translate ambiguous, domain-heavy requirements into clean system designs
Bring structure and scalability to complex financial processes
Architect backend systems and APIs for internal and external use
Ensure data accuracy, auditability, and consistency across financial workflows
Contribute to overall platform architecture and engineering standards
7–10 years of experience as a software engineer with strong command in Python
Strong backend / systems engineering fundamentals
Experience building production systems with real-world complexity (data models, workflows, APIs)
Basic familiarity with private markets / alternative investments, such as:
Private equity / venture capital
Private credit
Fund structures, capital calls, distributions
Ability to work in ambiguous environments and partner closely with non-engineering stakeholders
Strong product sense — you care about how systems translate into user experience
Based in the Bay area or you have plans to relocate to the Bay area
Direct experience supporting alternatives workflows (fund admin, investor onboarding, reporting)
Background in fintech, wealth management, or investment platforms
Exposure to working with investment teams or clients (RIA, private banks, asset managers)
Experience building systems that require high data integrity and auditability
LOCATION: You are either based in the Bay area, or have plans to relocate to the Bay area
This role reports to the Engineering Manager based in the Bay area.
Introductory call with Head of Talent, 20-30m
Hiring Manager Interview, 30m
Technical Interview 1: Coding/Algorithm/Data Structure, 60m
Live assessment on CoderPad with leet code style questions.
This round should be conducted without the usage of AI tools.
Technical Interview 2: System Design, 60m
Technical Interview 3: Coding/Algorithm/Data Structure, 60m
Co-founder Interview, 30m
A competitive salary and benefits package, with ample opportunities for growth and advancement
A vibrant and dynamic work environment where innovation, collaboration, and continuous learning are highly valued
The opportunity to work with a diverse and talented team of industry experts, passionate about shaping the future of finance
Robust health insurance offering for you and your family
High deductible health plan available with health savings account contribution
20 weeks of parental leave
17 days PTO annually
Arta's Compensation Philosophy
We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. Our offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). If you are presented with an
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