Staff Software Engineer
Company websitef2.ai (F2, opens in new tab)
Base salary $200K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About F2
F2 is redefining how the financial sector operates by bridging the gap between legacy workflows in institutional finance and the future of AI-driven efficiency. While large financial firms comprise the backbone of the economy, their front and middle-office processes are still manual, spreadsheet-heavy, and fragmented.
F2 is the leading vertical AI platform purpose-built for private markets and commercial banking. We transform dense, unstructured deal materials into auditable, decision-ready insights in minutes. This is not generic AI tooling. It is core infrastructure embedded directly into underwriting, credit, and portfolio workflows. We are the only fully vertical platform in this space with meaningful, proven revenue and real product–market fit.
The Role:
We are seeking a hands-on Staff Software Engineer who thrives in building from 0‑1 and driving execution, directly contributing production-level systems across the entire stack while shaping our core product foundation. You will collaborate closely with the founding team to architect, build, and ship the features and services that power F2's AI-driven enterprise analytics platform from user-facing interfaces to the backend systems and AI workflows behind them.
What you'll do:
Hands-on product building. Design and implement features end-to-end across frontend, backend, and AI layers. Actively writing production code and shipping real systems, not just specs and diagrams.
Own the technical architecture. Define and execute the technical vision and multi-year roadmap for our application platform (Next.js/React frontend, containerized Python and Node services), ensuring rapid iteration while scaling reliably with enterprise demand.
Build AI-heavy product experiences. Design and operate the systems behind document processing, chat, and analytics — spanning workflow orchestration (Temporal), streaming pipelines, vector search, and LLM inference paths; balancing latency, quality, and cost.
Build for security and compliance. Ship features and services that meet SOC 2 requirements from day one: multi-tenant isolation, least-privilege access, audit logging, and encrypted data flows across storage, database, and AI providers.
Establish engineering excellence. Set and uphold standards for code quality, testing, deployment pipelines, observability, and incident response; mentor engineers to foster a culture of reliable, maintainable, high-velocity development.
Cross-functional collaboration. Partner with product, design, and enterprise customers to translate requirements into pragmatic, well-crafted solutions that ship quickly and hold up under real usage.
What you bring:
Hands-on technical leadership. 7+ years building and scaling mission-critical software, with demonstrated experience architecting products and systems from the ground up.
Full-stack fluency. Production experience across modern web frontends (React/Next.js or equivalent) and backend services (Python and/or Node.js), including API design, data modeling, and building for performance and reliability.
Systems and data expertise. Comfort operating Postgres at scale (RDS, Supabase, or self-managed), Redis, and workflow/message systems (Temporal, SQS, Kafka), and ideally vector databases or LLM serving infrastructure.
Product and AI sensibility. Familiarity building AI-powered features — LLM integration, retrieval, agents, or streaming interfaces — with a focus on real user value.
Security-first mindset. Practical experience building within SOC 2 (or similar) compliance programs, including access control, secrets handling, and multi-tenant data isolation.
Execution-driven mindset. You thrive in environments where you own systems end-to-end, iterate rapidly, and deliver production-ready solutions; and you measure success in shipped impact, reliability, and user outcomes.
Passionate builder who enjoys solving complex, ambiguous problems across the stack and iterating toward clear, impactful goals.
Location: San Francisco
Employment Type: Full time
Location Type: Hybrid
Department: Engineering, Product, Design (EPD)
Compensation: $200K – $300K • Offers Equity
The total rewards package at F2 includes base salary, equity (stock options), and benefits.
Source: F2 on Ashby · View original posting (opens in new tab)
This listingStaff Software Engineer$200K to $300K
Head of Partnerships$200K to $250K
Staff Product Designer$220K to $250K
Founding Technical Recruiter$150K to $200K
Forward Deployed Engineer$140K to $200K
GTM Recruiter$130K to $180K
Enterprise Account Executive$130K to $160K
Chart as a table
| Role | Published base |
|---|---|
| Staff Software Engineer (this listing) | $200K - $300K |
| Head of Partnerships | $200K - $250K |
| Staff Product Designer | $220K - $250K |
| Founding Technical Recruiter | $150K - $200K |
| Forward Deployed Engineer | $140K - $200K |
| GTM Recruiter | $130K - $180K |
| Enterprise Account Executive | $130K - $160K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-07-20
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 200,000 – 300,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
