Rockstar Logo

Rockstar

Senior/Staff Software Engineer

Reposted 21 Days Ago
Be an Early Applicant
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
Drive high-impact engineering initiatives: build agentic AI systems for enterprise accounting, scale platform and financial data processing, design infrastructure for mission-critical workloads, and solve complex accounting workflows while owning major product areas and collaborating with customers.
The summary above was generated by AI

Rockstar is recruiting for an agentic AI platform company that automates enterprise accounting. They are building a system that handles high-volume financial data, complex accounting workflows, and robust executions that must be accurate and reliable. They are tackling some of the hardest problems in enterprise automation and have assembled a world-class engineering team with staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The company is backed by top-tier investors including Kleiner Perkins and Redpoint Ventures, and is trusted by category-defining customers like Scale AI and Rippling.

Role Overview

As a senior/staff engineer, you will be driving initiatives with broad business and technical impact. This role is not tied to a single area - senior/staff engineers at the company help solve its most important and complex problems.

Notable Challenges Include:
  • Building agentic systems that power real-world enterprise accounting automation
  • Scaling the platform to support growing enterprise workloads
  • Architecting a durable and scalable financial data processing layer
  • Building the infrastructure that powers the agentic systems
  • Solving intricate accounting workflows through clean and robust abstractions

You’ll own major product and engineering areas and get to work closely with customers. Beyond technical excellence, the company values engineers who are curious and take initiative.

What We're Looking For
  • Typically 5+ years building systems at high-growth companies.
  • Strong familiarity with web development, relational databases, and distributed systems.
  • Experience with AI agents, data pipelines, mission-critical systems (e.g. fintech), or complex workflow engines is a strong plus.
  • Loves in-person culture, 5 days a week in office in downtown San Mateo.
Why Join Us
  • Be a core part of a mission-driven startup looking to transform accounting processes.
  • Work in a fast-paced environment where your decisions directly impact product direction and company growth.
  • Opportunity to grow with the company and build a technical team from the ground up.
  • Competitive salary, equity, and benefits (401k, unlimited PTO).

Join them in revolutionizing accounting month-end close and making accounting operations more efficient for businesses everywhere!

Similar Jobs

4 Days Ago
Hybrid
Santa Clara, CA, USA
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead design and operation of cloud-native SRE, release, and test platforms. Build Kubernetes-based scalable test infrastructure, integrate CI/CD and GitOps, automate quality gates, observability, and failure detection, enable progressive delivery and developer self-service, and partner with engineering teams to raise reliability and release confidence.
Top Skills: AnsibleArgo CdArgo WorkflowsAws EksAzure AksCanary ReleasesChaos EngineeringContainer RuntimesCypressFeature FlagsGateway Api/IngressGitlab Ci/CdGitopsGoGoogle Cloud GkeHelmIstioJavaJunitKubernetesKustomizeLinkerdOpentelemetryPlaywrightPrometheusPytestPythonRest AssuredRubySeleniumTestng
5 Days Ago
Hybrid
Mountain View, CA, USA
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and operate large-scale agentic search infrastructure: index engine, hybrid (sparse/semantic) indexing, ingestion/enrichment pipelines, multi-modal indexing, entity resolution/knowledge graph, and performance/observability improvements. Collaborate cross-functionally to deliver production-grade, permission-aware search capabilities and maintain index lifecycle, capacity planning, and cluster reliability in an in-person team environment.
Top Skills: ElasticsearchEmbeddingsKnowledge GraphLuceneOpensearchSolrVector DatabasesVector Quantization
7 Days Ago
In-Office
234K-351K Annually
Senior level
234K-351K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, train, fine-tune, evaluate, and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware using ONNX and TensorRT. Collaborate with cross-functional teams to translate research into robust, production-ready perception capabilities for defense platforms.
Top Skills: C++OnnxPythonPyTorchTensorFlowTensorrt

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account