
11 - 50 employees
💳 Fintech
☁️ SaaS
🏢 Enterprise
Fintech • SaaS • Enterprise
Oath is a financial proof platform and modern audit firm that provides continuous, machine-driven verification of financial records and transactions. It operates alongside automated financial systems to verify every record on an ongoing basis so that reported totals are already confirmed; it offers auditable evidence for transactions and serves clients such as venture capital, private equity, employee benefit plans, nonprofits, and other private funds and companies. The company positions itself as a platform for proof, combining software and assurance expertise to deliver continuous verification at scale, supporting professionals like accountants and controllers, and ensuring outputs stand up to professional scrutiny.
🕒 August 5
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11 - 50 employees
💳 Fintech
☁️ SaaS
🏢 Enterprise
Fintech • SaaS • Enterprise
Oath is a financial proof platform and modern audit firm that provides continuous, machine-driven verification of financial records and transactions. It operates alongside automated financial systems to verify every record on an ongoing basis so that reported totals are already confirmed; it offers auditable evidence for transactions and serves clients such as venture capital, private equity, employee benefit plans, nonprofits, and other private funds and companies. The company positions itself as a platform for proof, combining software and assurance expertise to deliver continuous verification at scale, supporting professionals like accountants and controllers, and ensuring outputs stand up to professional scrutiny.
• Prototype and ship AI features, agents, and workflows hands-on using tools such as Claude Code • Use AI daily to increase personal throughput • Run a measurable experimentation loop by shipping, learning, iterating, and documenting results • Own the delivery cadence across two-week cycles, keeping engineering and design organized, on-task, and unblocked • Shape raw ideas into well-scoped product bets with clear boundaries and named risks • Set product goals aligned with business objectives • Define success metrics with the audit and verification team
• At least 9–10 years of experience as a product manager • Strong organizational skills • Excellent hands-on ability building with AI • Experience thriving at a startup • Familiarity with modern AI tools • Comfort working in a fast-paced environment • Experimentation rigor and ability to run measurable test loops • Delivery and execution discipline across two-week cycles • Ability to shape and scope ambiguous problems into clear product bets • Ability to define success, measure outcomes, and iterate from data
• Competitive base plus equity • Remote work arrangement
Apply Now🕒 August 5
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