Product Manager
External
Modus · NY$150K–$350K/yrFull-timeOn-site5mo ago
LLMsRAG
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Responsibilities
- You will bridge the gap between our newly partnered firm and our engineering team. You will interface directly with auditors to understand their current workflows, help translate these to AI (and non-technical) solutions, and be instrumental in technical rollout across the firm.
- Define the Roadmap: Turn messy, real-world audit workflows into scalable AI product specs.
- Ship AI Agents: Partner with engineers to deploy LLM pipelines, RAG systems, and browser automation into production.
- Own the Outcome: Work directly with the auditors at our firm to ensure our tools drive real business impact.
- Build the Playbook: Standardize how we modernize traditional CPA firms through technology.
- What We Look For
- PM Experience: Proven track record as a Product Manager (preferably in early-stage or high-growth technical environments).
- Programming Experience: we love PMs that come with a technical background, whether that means having been a SWE previously or building side projects to stay on top of the latest in AI.
- Financial Literacy: You don't need an accounting degree, but you must be able to comfortably read basic financial statements (e.g. P&L, Balance Sheet).
- Technical Fluency: High comfort level discussing AI/LLMs, data pipelines, and technical trade-offs.
- Bias for Action: We are a small, execution-focused team. You should be ready to "get in the weeds" with users and data.
- Compensation & Benefits
- Salary: $150K-$350K + meaningful early-stage equity.
- Benefits: Full healthcare and team meals.
- Environment: Fast iteration cycles and direct exposure to the business's core revenue drivers.
Benefits
Health insuranceEquity / stock options
Additional Information
About Modus We're building the future of audit. Modus Audit is backed by Lightspeed Venture Partners to invest in and modernize accounting firms using Agentic AI. We streamline financial audits from the ground up - starting with real customers and real revenue. We've partnered with our first firm, and are rapidly growing our engineering team to help us build and deploy our agents at scale. We're a small, execution-focused team. If you're excited by fast feedback loops, messy real-world data, and applied AI with business impact - we'd love to talk.
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