Altruist-posted about 1 month ago
$124,000 - $163,000/Yr
Full-time • Entry Level
Hybrid • San Francisco, CA
101-250 employees
Publishing Industries

Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients. We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you! We're looking for an AI-native Back End Engineer who combines creative thinking with business acumen. You'll design and build scalable data pipelines and data serving platforms while proactively identifying opportunities to create intelligent systems that help financial advisors deliver exceptional client service. This is a hybrid role, with an expectation of being in the office three days each week out of our San Francisco office.

  • Design and build high performance data pipelines to manage the full lifecycle of financial data.
  • Design and build a service-oriented architecture that delivers data reliably and scales seamlessly across systems.
  • Create the foundational frameworks and platforms that establish AI as a core capability within the company.
  • Advocate for and demonstrate the effective use of AI throughout the software development lifecycle
  • Ensure data integrity and quality across multiple sources.
  • Optimize query performance and troubleshoot data issues.
  • Experience - 0-2 years of software engineering experience.
  • Familiarity with one or more object oriented programming languages, Python or Java preferred
  • Experience building applications on top of database systems.
  • Proficiency in using AI-assisted development tools (e.g., Cursor, Claude Code) as part of the software development workflow.
  • Experience - 0-2 years of experience working with data pipelines and service oriented architecture at a B2B financial services, fintech, or SaaS organization.
  • Education - B.A. / B.S. degree in Computer Science or equivalent experience.
  • Ownership - The pride you put into every aspect of your work is unparalleled and undeniable.
  • Superb communication - Intentional dialogue is a superpower. You listen as well as you share your perspective with others.
  • Resilience - We're inspired by your unwavering determination to achieve success, no matter the adversity you face along the way.
  • Assurance - Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives.
  • Creative problem solving - Identifying the problem is simply not enough. You're instinctually creative with your approach in finding solutions to roadblocks.
  • Building data pipelines and optimizing for performance and cost.
  • Working with mature data processes at scale in a large company.
  • Data Warehouse such as Snowflake.
  • Data Orchestration tools such as Airflow.
  • Data transformation and modeling tools such as dbt.
  • A hybrid work schedule for most positions to promote strong, in-person collaboration and a healthy work-life-balance.
  • Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
  • Competitive pay and equity for eligible positions.
  • Premium healthcare, dental, and vision insurance plans (HMO and PPO).
  • 401k savings plan with a 4% match and immediate vesting.
  • 16 week paid parental leave.
  • Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
  • Company perks program (includes discounts on pet insurance, fitness, cell phone plans, entertainment and travel, etc.).
  • Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
  • One month work from anywhere policy (with the exception of a few countries).
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