About Us
Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines.
We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data.
Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application.
Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning.
Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.
About the role
You will own Symbolica’s FP&A engine and become the internal source of truth for how the business is performing and where it is heading. This is a hands-on, analytical role focused on building and running our operating model, forecasting SaaS and usage based throughput, and supporting decisions on hiring, spend, pricing, and go-to-market. You will work closely with executives to create a tight planning cadence, clean metrics, and board-ready narratives that turn ambiguity into crisp choices.
📍 This is an onsite role based in our SF office (345 California St).
Your focus
- Build and maintain the operating model: SaaS bookings and revenue, usage based GMV style volume, churn and retention, pipeline conversion, and runway with scenario planning.
- Run the planning rhythm: annual plan, quarterly reforecast, and monthly performance reviews with clear variance analysis and action-oriented outputs.
- Own KPI definitions and reporting: establish consistent metrics, partner with product and data to connect usage and adoption to financial results, and publish dashboards and updates.
- Support GTM analytics: pricing and packaging analysis, unit economics, sales capacity planning, quota and pipeline health, and experiment measurement.
- Produce leadership and investor materials: concise memos, board deck inputs, and ad hoc analysis for major deals, partnerships, and spend decisions.
About you
- 4 to 9 years in FP&A, strategic finance, or analytics at a high-growth tech company, with meaningful ownership of forecasts and planning. VC/PE/IB background acceptable.
- Strong modeling skills and good taste in assumptions: driver-based forecasting, scenario work, and the ability to explain results clearly to non-finance leaders.
- Solid understanding of SaaS and consumption dynamics: ARR and revenue timing, cohorts, churn and retention, and margin drivers, plus comfort forecasting throughput.
- High ownership and low ego: you move fast, stay precise, and improve systems and process without creating bureaucracy.
- You thrive in a founder-led environment and can partner tightly across product, engineering, and go-to-market teams.
We offer competitive compensation, including an attractive equity package, with salary and equity levels aligned to your experience and expertise.
Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.
Top Skills
Symbolica AI San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
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
