Jobs at Altruist

Leads Hazel AI’s sales organization as a player/coach, building sales operating rigor, forecasting, qualification processes, and scalable revenue practices. Hires, onboards, coaches, and performance-manages account executives while supporting key deals. Partners with Marketing, Product, and the broader GTM team on demand generation, product feedback, PLG-to-sales handoffs, and cross-sell or referral motions. Requires strong B2B SaaS sales leadership and experience selling to complex, multi-stakeholder buyers.

Build and scale secure, reliable backend services and web applications for a fintech wealth management platform. Responsibilities include identity and access management, AWS infrastructure, database optimization, API and distributed-systems hardening, production reliability, observability, incident response, and security remediation. The role independently delivers solutions from design through production, mentors engineers, and partners with security leadership. This is a hybrid position requiring three office days weekly in San Francisco.

Lead the technical direction and hands-on development of scalable data pipelines, data-serving platforms, and AI infrastructure. Design systems for financial data ingestion, transformation, and consumption; improve performance, reliability, security, observability, and cost efficiency. Lead cross-team initiatives, establish engineering standards, resolve complex production issues, mentor engineers, and guide the adoption of AI-assisted development and governed AI applications.

Develop and scale RESTful backend services and shared platform tooling using Java, Spring Boot, Postgres, AWS, and Kubernetes. Design resilient distributed systems, implement secure coding practices, and maintain automated testing. Collaborate with engineering leadership, product managers, and cross-functional teams while mentoring engineers and contributing to shared infrastructure. The hybrid role requires three in-office days weekly in Culver City or San Francisco.

Own expertise for an optimization-based rebalancer by investigating customer-reported issues, monitoring automated trade workflows, analyzing performance trends, and producing advisor reports. Build AI agents to support precise responses, create onboarding and knowledge content, and collaborate with Product, Design, Engineering, Customer Success, Market Data, and Compliance teams to resolve issues and improve client outcomes.

Design and build scalable financial data pipelines, data-serving platforms, and AI-enabling frameworks. Ensure data integrity and quality across sources, optimize query performance, troubleshoot data issues, and promote AI-assisted software development. The role requires expertise in Python or Java, databases, warehouses, ETL, batch processing, cloud infrastructure, and Kubernetes, with preferred experience in Snowflake, Airflow, and dbt.

Build and improve scalable, resilient backend systems across product teams. Responsibilities include implementing observability with OpenTelemetry, establishing SLOs, owning incident response processes, mentoring teams on secure and reliable coding practices, and applying automated testing. The role collaborates with engineering leadership and cross-functional partners on shared infrastructure, performance, and distributed-systems challenges. This is a hybrid position requiring at least three office days per week in Los Angeles or San Francisco.

Lead the strategy and roadmap for Altruist’s portfolio reporting experience. Translate complex financial, investment, and market data into accurate, actionable products for advisors and clients. Conduct product discovery, analyze customer and product data, define requirements, prioritize backlogs, and partner with Engineering, Design, Compliance, Market Data, Customer Success, and Marketing to deliver measurable improvements in a regulated financial environment.

Own the roadmap and delivery of enterprise product areas supporting complex wealth management firms. Design workflows for onboarding, permissions, branding, billing, delegated tasks, bulk changes, and organizational settings. Partner with customers, engineering, design, sales, and internal teams to identify problems, ship iterative releases, improve scalable processes, and support enterprise sales. Use technical understanding, customer discovery, data, and product judgment to create simple, high-quality enterprise experiences.

Staff Cloud Infrastructure Engineer responsible for architecting and operating AWS infrastructure supporting regulated financial services. The role owns EKS, Terraform, CI/CD, observability, disaster recovery, networking, security, cost optimization, and AI/ML infrastructure. It provides technical leadership through architecture decisions, cross-functional initiatives, incident escalation, mentoring, and platform standardization. The position requires deep AWS, Kubernetes, infrastructure-as-code, Linux, networking, database, and reliability expertise, with hybrid work in Culver City or San Francisco.

Own quality for distributed backend services across API, contract, event, and database layers. Build Java-based test automation, validate service contracts and data, test asynchronous workflows, authentication, authorization, and configuration consistency, and integrate suites into GitLab CI/CD. Partner with platform engineers to improve testability, assess regression scope, manage defects in Jira, and drive continuous quality improvement across agile teams.

Lead backend engineering initiatives focused on secure, scalable, and reliable distributed systems. Design identity and access management capabilities, strengthen AWS infrastructure, optimize databases, harden APIs and services, improve observability, and drive incident remediation. Mentor engineers, own cross-service problems end to end, and partner with security teams to deliver durable solutions across customer-facing applications and platforms.

Own performance, resilience, observability, and incident response for scalable backend systems across product teams. Mentor engineers on secure, reliable coding practices; implement OpenTelemetry, logging, SLOs, and automated testing; and contribute shared infrastructure solutions. The role requires expertise in Java, Spring Boot, REST APIs, microservices, distributed systems, SQL, Docker, Kubernetes, and Helm, with AWS, CI/CD, infrastructure tooling, and financial services experience preferred.

Design, build, and scale distributed backend services and shared platform infrastructure using Java, Spring Boot, Postgres, AWS, and Kubernetes. Develop resilient microservices, implement secure coding practices, improve system performance and reliability, and maintain automated testing. Collaborate with engineering leadership, product managers, and cross-functional teams while mentoring engineers and contributing to platform tooling and architecture.

Designs, implements, and operates internal identity, endpoint, application, networking, and security systems. Leads technical projects from scoping through rollout, builds automation and AI-assisted workflows, evaluates platforms, and manages migrations. Acts as the senior escalation point for complex issues while strengthening access controls, patching, monitoring, documentation, and audit readiness. The role also mentors junior teammates and establishes repeatable technical standards and runbooks.

The Senior Full Stack Engineer will enhance customer onboarding and AI financial planning features by building robust systems and leading engineering best practices.

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.

As a Senior Cloud Infrastructure Engineer, you will architect and manage AWS infrastructure, lead Kubernetes strategies, and drive engineering practices to enhance reliability and scalability in a hybrid environment.

Lead end-to-end quality for a user-facing fintech platform by performing exploratory manual testing, building and maintaining Java-based automation (UI and API), integrating tests into CI/CD, validating data with SQL, and defining test strategies for core and AI-powered features while collaborating with Engineering and Product.

Lead Hazel's end-to-end partnerships across tech integrations, distribution, affiliates, and industry networks. Close platform-scale deals, build partnership programs and economics, and establish operating models while partnering with Sales, Product, Marketing, and Finance to drive partnership-sourced ARR.