Staff Software Engineer

Jobot; San Francisco (CA); On-site; USD 275,000 - 400,000; Full time

Job summary

Jobot in San Francisco is seeking a Staff Software Engineer to help build the AI-native financial infrastructure powering private markets. You will design and implement agentic systems, scale backend services, and own critical components from concept through production in a fast-paced, high-ownership environment.

Join a well-funded Series A fintech startup with ambitious plans, direct CTO access, and equity upside.

Qualifications

• Deep understanding of software architecture, backend systems, and distributed computing fundamentals.
• Proficiency with AI-assisted development tools (Claude Code, Codex or similar).
• Experience designing and implementing complex production software systems independently.
• Strong API, data pipeline, reliability, performance and scalable infrastructure knowledge.
• Excellent problem-solving ability and quick reasoning in tough technical challenges.
• Strong product intuition and ability to tie technical decisions to business outcomes.
• High-ownership, entrepreneurial mindset in fast-moving environments.
• Willingness to work across the stack and learn new technologies quickly.

Responsibilities

• Design and build production-grade agentic systems and AI-native workflows.
• Architect infrastructure for orchestration, automation, and AI research agents.
• Improve the performance, reliability, and scalability of backend services.
• Build scalable data pipelines integrating AI-driven and non-deterministic workflows.
• Develop core backend systems, APIs, and services powering private-market data and transactions.
• Improve matching, automation, and workflow systems for private-market participants.
• Build user-facing product features across the stack when needed.
• Leverage AI assistants to accelerate development and engineering output.
• Make high-impact architectural decisions and own projects end-to-end.
• Collaborate with leadership on technical strategy.

Skills

Software architecture

Backend systems

Distributed computing

AI-assisted development

APIs

Data pipelines

Performance

Ownership mindset

Product intuition

Stack flexibility

Tools

TypeScript

Python

Cloud infrastructure

Data systems

Job description

Staff Software Engineer

$275000 - $400000 per year | San Francisco, CA | On-site | Permanent

Join a well-funded, Series A fintech startup building the next generation of private-market infrastructure!

A bit about us:

We're building the infrastructure layer for private capital markets, combining modern software systems, AI-native workflows, and deep market intelligence to transform how private-market transactions happen.

Our platform sits at the intersection of financial infrastructure, data systems, and applied AI. We're building agentic systems that automate complex workflows, improve market efficiency, and create entirely new ways for institutional investors to interact with private-market data and liquidity.

We've raised a Series A from top-tier investors, with approximately $25M in total funding. We're looking for exceptional engineers who thrive in high-ownership environments, move extraordinarily fast, and use AI to amplify what they can build.

This is an opportunity to help define what AI-native financial infrastructure looks like over the next decade.

Why join us?

Exceptional Compensation: $275K-$400K base salary plus meaningful equity.

AI-Native Engineering: Build with modern coding agents, autonomous workflows, and next-generation development tools.

Founding-Style Ownership: Join a small, highly talented engineering team where your decisions directly shape the platform.

Complex Technical Challenges: Work across distributed systems, backend architecture, AI orchestration, data infrastructure, and financial marketplaces.

High-Velocity Environment: Operate with minimal bureaucracy, high autonomy, and a strong emphasis on execution.

Direct Leadership Access: Collaborate closely with the CTO and product leadership on technical direction.

Job Details

What You'll Work On:

• Design and build production-grade agentic systems and AI-native workflows.
• Architect infrastructure for orchestration, automation, and AI research agents.
• Improve the performance, reliability, and scalability of MCP servers and backend agentic services.
• Build scalable data pipelines that integrate AI-driven and non-deterministic workflows.
• Develop core backend systems, APIs, and services powering private-market data and transactions.
• Improve matching, automation, and workflow systems for private-market participants.
• Build user-facing product features across the stack when needed.
• Leverage Claude Code, Codex, and parallel coding agents to accelerate development and engineering output.
• Make high-impact architectural decisions and own projects from concept through production.
• Collaborate directly with engineering and product leadership on technical strategy.

What We're Looking For:

• Deep understanding of software architecture, backend systems, and distributed computing fundamentals.
• Highly proficient with AI-assisted development, including Claude Code, Codex, or comparable autonomous coding agents.
• Experience designing and implementing complex production software systems independently.
• Strong understanding of APIs, data pipelines, reliability, performance, and scalable infrastructure.
• Excellent problem-solving ability, with the capacity to reason quickly through difficult technical challenges.
• Strong product intuition and the ability to connect technical decisions to business outcomes.
• A high-ownership, entrepreneurial mindset and comfort operating in ambiguous, fast-moving environments.
• Willingness to work across the stack and learn unfamiliar technologies quickly.

Nice to Have:

• Experience building agentic workflows, LLM orchestration systems, or MCP servers.
• Experience with parallel coding agents, agent harnesses, or autonomous software-development workflows.
• Background in financial technology, trading, market data, or institutional financial infrastructure.
• Experience as a founding engineer or early technical hire at a fast-growing startup.
• Experience with TypeScript, Python, cloud infrastructure, and modern data systems.

We care more about exceptional engineering ability, architectural judgment, and speed of execution than specific frameworks or job titles.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.