About Time Seventeen
We give risk a price. We create state prices for tail events.
The world contains a large class of risks that determine where capital flows yet have no price today. Global supply chains are being reconfigured, while the geopolitical discount rates that inform consequential decisions remain difficult to quantify. Time Seventeen is building tradable synthetic indices and term structures for these risks.
Time Seventeen is infrastructure for geopolitical risk and catastrophe risk. We give risk a price. We create state prices for tail events. Our ambition is to turn fragmented judgments about individual events into continuous risk prices, then bring those prices into institutional valuation, trading, and risk-transfer workflows.
Our work connects event definitions, probabilistic forecasting, market data, index methodology, and execution infrastructure. We explore how prediction markets, actuarial models, insurance and reinsurance structures, and blockchain-based DeFi can contribute to a common language for uncertain outcomes. The challenge is to make risk legible across different horizons, exposures, and market participants, while keeping assumptions and limitations explicit.
Building this infrastructure requires more than a compelling forecast. Data must be traceable, events must have defensible resolution rules, methodologies must survive scrutiny, and products must account for liquidity, basis risk, operational resilience, and applicable legal constraints. We want institutions to be able to understand a risk price, challenge its construction, and assess how it relates to the exposure they actually hold.
We are building a focused team across research, engineering, markets, and risk. We value people who can move between deep specialist work and the practical decisions needed to build a company: identifying the important question, testing an approach, communicating the evidence, and carrying the result into a usable system.
About the role
Own the architecture and delivery of reliable prediction-market infrastructure, from market data and execution to event resolution and DeFi settlement.
You will lead technical implementation of the prediction-market roadmap with the Co-Founder and Prediction Market Manager. The role connects market design to production systems that can support event-risk indices and institutional workflows.
You will make architectural decisions across exchange integrations, market-data pipelines, order state, collateral, oracles, and on-chain settlement. We expect hands-on engineering and technical leadership, with explicit assumptions about security, finality, liquidity, and failure recovery.
What you'll do
- Design and operate exchange adapters, streaming market-data ingestion, normalized event schemas, and traceable historical datasets.
- Build execution and order-management workflows with reconciliation, idempotency, rate-limit handling, risk limits, and safe cancellation behavior.
- Implement event lifecycle and resolution systems covering source verification, disputed outcomes, exceptional events, and auditable state changes.
- Develop oracle and DeFi integrations with secure signing, collateral accounting, transaction monitoring, finality handling, and reorganization recovery.
- Work with researchers on market-implied probability feeds and horizon alignment; expose stale data, liquidity limitations, and methodological assumptions.
- Evaluate market microstructure, matching or AMM behavior, incentives, and adversarial scenarios through simulation and replay.
- Own design reviews, automated validation, observability, deployment safeguards, incident response, and recovery runbooks.
- Mentor junior engineers and interns and coordinate technical decisions with market, actuarial, insurance, and index colleagues.
What we're looking for
- Substantial experience shipping and operating production trading, exchange, blockchain, or distributed systems, with evidence of architectural ownership.
- Strong programming ability in TypeScript, Python, Rust, Go, or another relevant language; practical SQL and data-modeling skills.
- Deep understanding of concurrency, networking, streaming systems, order lifecycles, and consistency under partial failure.
- Working knowledge of prediction-market mechanics, event resolution, market microstructure, and probability interpretation.
- Experience with blockchain transactions, wallet security, smart-contract interfaces, and oracle or settlement risks; Solidity experience is useful.
- A track record of meaningful testing, monitoring, incident investigation, and secure handling of critical workflows.
- Ability to lead technical projects, explain tradeoffs, and help colleagues develop sound engineering judgment.
What success looks like
- Deliver a dependable end-to-end market integration with validated data, execution, and resolution behavior.
- Demonstrate recovery from disconnects, duplicate events, settlement failures, and other agreed failure scenarios.
- Establish documented architecture, operational metrics, and reusable engineering practices for the team.
Location & working arrangement
This role can be based in San Francisco (SFO) or Hong Kong (HK). Please include your preferred office, current location, time zone, start date, and any working-arrangement requirements. You will collaborate with colleagues across both locations.
How to apply
Share your CV and a relevant project, code repository, market analysis, or technical case study. Explain your personal contribution, design decisions, validation method, and lessons learned. Please exclude confidential information belonging to employers or clients.
How we work
Time Seventeen is a focused, high-ownership team. We value clear thinking, direct communication, careful execution, and people who carry important work through to a result. We expect colleagues to surface inconvenient evidence, ask precise questions, and make the limits of their work explicit. Strong specialist judgment matters, as does the willingness to understand how your work affects research, markets, engineering, and risk. We prefer useful documentation and clear decisions to unnecessary process.