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Product Manager — AI x Web3 Security | Entireless Jobs
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Job details
Company Nethermind
Remote type Remote
Employment type Full-time Share this job post How to apply Use the apply button to submit your application.
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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 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. 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.