Rockstar Logo

Rockstar

Software Engineer

Posted 13 Days Ago
In-Office
San Francisco, CA, USA
180K-300K Annually
Entry level
In-Office
San Francisco, CA, USA
180K-300K Annually
Entry level
Build scalable, maintainable software for an AI voice agent serving mortgage lenders. Translate customer requirements into architecture, use AI coding agents to deliver features, and own core components end to end through production reliability. Potential systems include agent simulation and evaluation, A/B testing, SMS, voice orchestration, phone management, scheduling and dialing, agent orchestration, agent management, and security and privacy services.
The summary above was generated by AI

Rockstar is recruiting for a high-growth AI startup that is the market-leading AI voice agent for mortgage lenders. Founded in 2024, the company has grown rapidly and currently counts 5 of the 10 largest independent mortgage banks in the U.S. as enterprise customers. The company is well-funded and at the cutting edge of AI-driven economic transformation.

Location: San Francisco, CA (Hybrid)
Employment Type: Full time
Department: Engineering
Compensation: $180K – $300K • Offers Equity

About the Company

The company is the market-leading AI voice agent for mortgage lenders. Founded in 2024, it has grown like crazy (~$0 to $13M in 20 months), and currently counts 5 of the 10 largest independent mortgage banks in the U.S. as enterprise customers. If the company is successful, the cost of owning a home in the US will become ~1% cheaper. The company has raised $21M across its Seed and Series A from top investors.

Why This Is a Huge Opportunity

Around 1% of the U.S. labor force works in phone sales, representing roughly $100B of annual salary, and the industry is poised at the brink of complete disruption. The company is at the cutting edge of this economic transformation, one of the first companies creating real, durable economic value through applied AI.

Buying a house is the largest financial decision most people make in their lives, and homeownership is tied to many other purchases, including life insurance, homeowners insurance, alarm systems, home renovations, solar panels, and more. By owning the mortgage vertical, the company will own the relationship with the consumer, allowing it to serve as the essential AI infrastructure for high consideration consumer sales.

Why Join
  • Crazy growth: The market pull is exhilarating — the company has grown 10x in the past 12 months and more than 100x since its seed round, all without a dedicated sales or marketing team. Building something that people want so badly is the best feeling you can have in a startup.
  • Team and Culture: The company is a high-agency team where the bar is high and everyone makes the people around them better. Collaboration and intensity are core team values: people truly care about their work and their coworkers. At the same time, the team doesn't take itself too seriously.
  • Challenging problems: Outperforming human sales teams on half a million daily calls is not easy. Low-latency, real-time infra. 99.9% uptime. Enterprise-grade privacy and security. Advanced simulation and evaluation systems. Flexible A/B testing. AI scheduler and dialer. The company owns the whole stack and does not compromise on quality.
  • Well-funded: The company has raised $21M+ in total funding, most recently a $15M Series A in June 2026.
What You'll Do
  • Work with the product team to translate customer requirements into highly scalable and maintainable software architecture
  • Use AI coding agents and internal tooling to deliver new features and improve existing code
  • Own one or more of the company's core software components end-to-end, from architecture and implementation to reliability in production. Examples include: simulation and evaluation system of the AI agents; A/B testing framework; SMS capabilities of the agents; voice orchestration infrastructure; phone number management; outbound strategy, call scheduler and dialer; agent orchestration framework; agent management framework; security and privacy services
What We're Looking For
  • Deep understanding of common software design patterns and best practices
  • Experience using AI coding tools or agents to ship maintainable, clean code
  • Excellent technical communication skills
  • Track record of owning and delivering major product features
  • Expert knowledge of at least one major programming language
  • Experience in high-growth startups, ideally at Seed through Series B
Benefits
  • Top-of-market medical, dental, and vision coverage for you and your dependents
  • 401(k) with a top-of-market employer match
  • Unlimited PTO
  • Snacks, weekly team lunches, and dinner provided by the company
  • Hybrid in-office schedule: four days a week together in SF, with a flexible remote day on Wednesdays

Similar Jobs

2 Hours Ago
Hybrid
San Francisco, CA, USA
299K-334K Annually
Expert/Leader
299K-334K Annually
Expert/Leader
Artificial Intelligence • Productivity • Software
Build and scale database infrastructure that enables customers to use Postgres without DBA expertise. Responsibilities include taking a product from alpha to general availability, optimizing queries and data loading, managing schema changes and concurrency, automating database provisioning and fleet operations, improving observability, and shaping architecture through customer collaboration. The role requires hands-on backend engineering, technical leadership, product judgment, and willingness to work across the stack.
Top Skills: Change-Data-CaptureDatabase Fleet OperationsDatabase IndexingDatabase MigrationsDatabase ProvisioningGoMySQLNode.jsObservabilityPostgresQuery OptimizationReactRelational DatabasesSync EnginesTypescript
5 Hours Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
208K-312K Annually
Entry level
208K-312K Annually
Entry level
Artificial Intelligence • Cloud • Software
Build high-scale internal observability systems covering metrics, logs, traces, cost attribution, chargeback, compliance, and auditing. Partner with backend and platform teams to instrument services, evaluate observability infrastructure, and scale systems for Vercel’s production traffic. The role requires TypeScript, production experience with Go, Rust, or Zig, distributed systems expertise, cloud infrastructure knowledge, and familiarity with observability tooling.
Top Skills: CncfDatadogGoGrafanaNew RelicPrometheusRustSplunkTypescriptZig
20 Hours Ago
Hybrid
Sunnyvale, CA, USA
123K-189K Annually
Entry level
123K-189K Annually
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop behavior validation products for autonomous vehicle software, including scorecards, protocol analysis workflows, data pipelines, and dashboards. Build Python-based prototypes and production solutions, integrate analytical workflows with user-facing tools, and improve system scalability, reliability, performance, and maintainability. Collaborate with engineering, safety, product, and AI teams to translate stakeholder needs into technical designs, measurable outcomes, and launch-readiness insights.
Top Skills: APIsPython

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