The opportunityWe're looking for an AI-native Staff Software Engineer who combines creative thinking with business acumen. You'll shape the technical direction of our data and AI platforms and stay hands-on in building systems that help financial advisors deliver exceptional client service.
As a senior individual contributor, you'll lead complex initiatives across teams, turn ambiguous business needs into practical technical plans, and build frameworks that other engineers can use. You'll own outcomes from design through production, balancing delivery speed with reliability, security, and cost.
Your impact- Set technical direction for scalable data pipelines and data serving platforms, aligning architecture and investment decisions with business priorities.
- Design and build high-performance systems that manage the full lifecycle of financial data, from ingestion and transformation to serving and consumption.
- Create shared frameworks and platforms that establish AI as a core company capability, including reliable ways for AI applications and agents to access trusted data.
- Identify opportunities to improve advisor experiences and internal workflows with AI. Partner with product and engineering teams to define success, validate approaches, and deliver measurable results.
- Lead initiatives spanning multiple teams, clarify technical tradeoffs and dependencies, and guide delivery from initial design through rollout and ongoing operation.
- Establish standards for data quality, observability, and recovery. Partner with Security to protect sensitive data and make access controls part of system design.
- Improve query performance, platform reliability, and infrastructure efficiency. Resolve complex production issues and address their underlying causes.
- Advance the effective use of AI throughout the software development lifecycle while maintaining accountability for correctness, security, and maintainability.
- Mentor engineers, lead design reviews, and raise engineering standards through clear technical guidance and hands-on contributions.
What you bring- Experience - 8+ years of software engineering experience, with a track record of leading complex platform or distributed systems initiatives and delivering results across teams.
- Hands-on engineering - Strong proficiency in Python or Java, strong SQL skills, and the ability to design, build, debug, and operate production systems.
- Data platforms - Deep experience with databases, data warehouses, ETL or ELT pipelines, and mature data processes at scale. You understand data modeling, query optimization, and the tradeoffs between batch and real-time processing.
- Distributed processing - Experience with large-scale offline processing and batch pipelines using Spark or similar frameworks, including failure recovery and performance tuning.
- Cloud infrastructure - Experience designing and operating cloud services, especially on AWS, with working knowledge of Kubernetes, deployment practices, and observability.
- AI fluency - Proficiency with AI-assisted development tools such as Cursor or Claude Code, sound judgment about their limitations, and the ability to help others use them effectively. You can identify practical applications of AI and evaluate whether they solve the business problem.
- Technical leadership - Experience setting architectural direction, writing clear technical proposals, building alignment across teams, and mentoring engineers without relying on formal authority.
- Business judgment - The ability to turn ambiguous needs into clear priorities, make pragmatic build-versus-buy decisions, and balance immediate delivery with long-term platform needs.
- Ownership - You take responsibility for business outcomes, carry changes through production, and support the systems you build.
- Communication - You listen carefully, explain complex ideas clearly, and work effectively with technical and nontechnical partners.
- Resilience and humility - You navigate uncertainty, learn from setbacks, and adapt your approach when evidence or a different perspective calls for it.
- Creative problem solving - You question assumptions, identify root causes, and develop practical solutions to difficult problems.
- Education - B.A. or B.S. in Computer Science, or equivalent practical experience.
Preferred experience- Snowflake, Airflow, or dbt in production environments.
- Building and operating AI applications, agent frameworks, or shared services for governed data access, with evaluation and monitoring.
- Financial services data or other environments where data accuracy, privacy, and reliability are essential.
San Francisco, CA salary range
$203,000-$275,000 USD
What we bringAttracting and retaining top-tier talent is a priority. We are proud of the culture we've built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- 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 total compensation.
- 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 after one year of employment.
- 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, 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).
Total compensation includes a competitive benefits package, along with a bonus program for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.
Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
