Economics Lead

Build and steer Team TPS's incentive and coordination architecture across all current and future adventures. Your work turns objectives into mechanisms, parameters, and guardrails that keep the network stable, scalable, and worth building on.

100% Remote; Must be located in the United States

We’re hiring a hands-on Economics Lead who blends economics, data science, and blockchain expertise to shape incentives, optimize network design, and influence the roadmaps owned by our founding team. You’ll design, analyze, and operationalize models for production, collaborating across engineering/research, GTM, governance, operations, marketing, etc. moving proposals from concept → testnet → mainnet with clear evidence and rollback plans.

• Mechanism design: Specify supply schedules, distribution rules, participation/staking logic, governance parameters, and penalty compatibility; align participant behavior with protocol goals.
• Modeling & simulation: Build agent-based and analytical models; stress-test under churn, latency variance, partitions, and coordinated behavior; propose parameter ranges with confidence intervals.
• Parameterization systems: Stand up frameworks to set/adjust protocol parameters; ship activation thresholds, rollback plans, and documented assumptions.
• Network health telemetry: Define metrics (liveness, safety, decentralization, participation quality, congestion signals); deliver dashboards and alerting for drift and failure modes.
• Integrity-first, failure-oriented thinking—you design for misuse, coalitions, and coordination failure, not just the happy path.
• Mechanism Book: Keep a living, versioned set of specs, trade-offs, post-mortems, and change logs.

• Translate goals into crisp RFCs with guardrails, success metrics, and implementation notes.
• Run experiments (shadow params, A/B, staged testnet trials) and synthesize results into production decisions.
• Coordinate cross-functionally to land upgrades safely and on schedule.
• Replace assumptions with measured policy; retire failing designs fast.

• 5 years in blockchain, crypto, decentralized tech, etc.
• 5 years in mechanism/cryptoeconomics/game theory/complex-systems or adjacent quantitative roles, with proven successful outcomes
• Strong Python, SQL; proficiency with analytical tooling
• Experience applying statistical/econometric methods to coordination and incentive problems.
• Protocol literacy: validators, consensus, mempool/gossip, state machines.
• Elite written clarity; you can explain the mechanism, trade-offs, and kill-switch on one page.
• Experience designing and driving utility behind: DAOs, tokenomics, web3 treasuries, governance,etc.

• Work on validator incentives, governance processes, emissions/distribution schedules.
• Familiarity with ZK-centric architectures and how proofs shift protocol assumptions.
• Published research on PBS/MEV dynamics, staking/slashing, or related incentive designs.