Product Manager — AI x Web3 Security

What we’re building

Nethermind is building an AI-driven security product line that helps protocols and developers find vulnerabilities earlier, cheaper, and faster:

AuditAgent: AI-assisted smart contract vulnerability detection and insight generation for pre-audits and security workflows.

AgentArena: a platform where multiple independent audit agents can run in parallel, with an arbiter/triage layer to deduplicate findings and score severity fairly.

This role owns product strategy and execution for these products and the next wave of features/products in the same direction (e.g., CI integrations, remediation workflows, benchmarks/evals, agent marketplace mechanics, enterprise offerings).

What we need

A proactive, hands-on Product Manager who can lead AI + security + developer platform products end-to-end: from discovery → roadmap → shipping → adoption → iteration.

You’ll work closely with:

• External users: protocol teams, security leads, CTOs, developers


• Security researchers/auditors, AI/agent engineers, and platform engineers


• BD/partnerships, marketing, and ops

Role & Responsibilities

1. Own vision, roadmap, and outcomes

• Own the mission and long-term vision for AuditAgent and AgentArena.


• Create and maintain a prioritized roadmap balancing user value, model/agent quality, and engineering constraints.


• Define and track product success metrics (see “Success looks like…”).

2. Product discovery & positioning (users + market)

• Build deep understanding of user needs by interviewing:


• Protocol teams shipping to mainnet


• Audit customers and Nethermind Security auditors


• Agent builders/security researchers


• Clarify product positioning: “pre-audit copilot” (AuditAgent) vs “multi-agent auditing platform” (AgentArena).

3. Ship features that increase trust + utility in security workflows

For AuditAgent:

• Improve the developer workflow for vulnerability detection + findings quality (clarity, repro guidance, attack scenarios, etc.).


• Drive integrations (CI/CD, repo scanning, reporting formats) and “fix-verify-rerun” loops.

For AgentArena:

• Own the product mechanics for multi-agent parallel audits and fair evaluation (including arbiter/triage workflows).


• Build the “two-sided platform” experience: agent builders (supply) + protocols (demand).


• Partner with engineering to evolve scoring/severity, deduplication, and dispute handling.

4. Create the evaluation + data flywheel

• Define benchmarks/evals for vulnerability detection quality (precision/recall proxies, severity accuracy, duplicate rates, time-to-signal).


• Set up feedback loops from real audits and user outcomes into product improvements (without compromising confidentiality).

5. Monetization and go-to-market

• Define packaging and pricing (self-serve, team, enterprise; usage-based credits; platform fees; bounties/reward splits).


• Drive GTM with the BD team: how these tools complement audits and expand customer funnel.

6. Execution excellence

• Write clear product requirements and coordinate delivery with engineering.


• Run weekly execution cadence (milestones, risks, tradeoffs).


• Maintain high bar on security, privacy, and reliability for developer trust.


• Success looks like (example KPIs)


• Pick a small set and own them:


• Revenue growth: new MRR/ARR and conversion to paid


• Retention & expansion: NRR/GRR, seat/usage expansion, enterprise renewals


• Time-to-value: time to first scan → first actionable finding → verified fix


• Adoption at scale: weekly active teams/repos, CI integration rate, cohort retention


• Unit economics: compute cost per $ revenue (gross margin) and support cost per account


• Trust as a growth lever: accepted/validated finding rate and low false positives (quality that drives renewals)


• (AgentArena) Platform health: paid demand + active competitive agents, fast time-to-results, low dispute rate

Requirements

• 3+ years in Product Management (or equivalent) shipping developer-facing software (B2B SaaS / tooling / platforms)


• Strong familiarity with Ethereum smart contracts and security mindset (Solidity, common vuln classes, audit process)


• Ability to work cross-functionally with researchers/engineers and translate ambiguity into shipped product


• Strong written communication (PRDs, specs, launch notes)


• Comfort with AI/agent products: evaluation thinking, prompt/agent iteration cycles, quality measurement

Nice to have

• Hands-on experience with smart contract auditing tools/workflows


• Familiarity with multi-agent systems, LLM evals, or building marketplaces/two-sided platforms


• Experience with security triage/severity frameworks and report standardization

Working model

• Remote-first, globally distributed team.