Prediction Market COO/CEO
PCM is hiring a Prediction Market COO/CEO to lead a compact team to improve and scale an industry-leading prediction market. Bring domain experience in prediction markets, crypto exchanges, or closely related markets; combine operational rigor, product judgment, and fundraising/business strategy to scale the business and product together.
What you’ll do:
Set and execute the company strategy, roadmap, and go-to-market plan for the prediction market and exchange products.
Build and lead cross-functional teams across product, engineering, trading, operations, compliance, and partnerships.
Drive product-market fit, user growth, and commercial partnerships while balancing risk, liquidity, and user experience.
Own investor and board relationships; financial planning, and KPI reporting.
Establish operational processes for risk controls, settlements, custody, and regulatory compliance.
Represent the company publicly: hire for trust, close strategic partnerships, and recruit top talent.
Required experience:
Direct experience at a prediction market, crypto exchange, betting or market-making business, or closely related fintech product.
Proven leadership in scaling early-stage startups or operating high-growth marketplace/financial products.
Strong product instincts and ability to translate market dynamics into product and go-to-market moves.
Track record owning P&L, fundraising, investor relations, or similar executive responsibilities.
Comfortable with technical products and able to collaborate deeply with engineering and trading teams.
Excellent communication skills and demonstrated ability to recruit, coach, and retain high-performing teams.
Lead AI Developer & Consultant (Legal Tech)
An entity of PCM is hiring a Lead AI Developer, that will bridge the gap between cutting-edge Generative AI and the high-stakes world of legal services. The lead developer will guide legal firms and corporations through the adoption of LLMs and agentic workflows and will lead an enterprise engineering team while remaining hands-on in the architecture of RAG pipelines, fine-tuning models, and ensuring production-grade security and reliability.
Required Experience:
Experience fine-tuning large language models (LLMs) and operationalizing agentic workflows.
Hands-on experience with RAG techniques, including document parsing and vectorization (embeddings).
Advanced proficiency in Python.
Demonstrated experience managing enterprise software engineering teams and delivering production-grade systems.
Experience both using and administering enterprise development tools including GitHub and project management platforms such as Jira.
Strong experience building and maintaining CI/CD pipelines and engineering workflows.
Experience with enterprise database design and implementation.
Experience implementing SSO, rule-based access control (RBAC), and identity access management (IAM).
Cloud platform administration experience in Microsoft Azure or AWS
Prediction Market Developer
PCM is hiring a Prediction Market Developer to improve and maintain core systems for a modern prediction market. Work across matching, market mechanics, pricing, onchain settlement, and integrations with exchange and DeFi infrastructure. Bring handson developer experience from prediction markets, crypto exchanges, or closely related trading/marketplace systems.
What you’ll do:
Design, implement, and maintain the prediction market application and microservices that power order routing, matching, settlement, and clearing.
Build and iterate market mechanics: order types, AMM/PMM logic, resolution workflows, and fee/reward systems.
Integrate with onchain systems, wallets, or custodial services for deposits, withdrawals, and settlement.
Implement robust APIs for clients, market risk tooling, and partner integrations.
Create back testing and simulation tooling to validate market designs and trading strategies.
Monitor production systems, triage incidents, and improve reliability, observability, and performance.
Collaborate with product, design, trading, and legal to translate product requirements into safe, auditable implementations.
Required Skills:
Developer experience building systems for prediction markets, crypto exchanges, or closely related trading/marketplace platforms.
Strong programming skills in Python, TypeScript/Node.js, Go, or similar backend languages.
Solid understanding of market structures, order matching, AMMs, or marketplace mechanics.
Experience integrating with blockchain networks, smart contracts, or crypto infrastructure (wallets, bridges, custodians).
Practical knowledge of API design, authentication, rate limiting, and secure integrations.
Familiar with testing, CI/CD pipelines, observability (metrics/logs/tracing), and production incident processes.
Attention to security, auditability, and compliance considerations in financial systems.
AI Developer
PCM is hiring an AI developer eager to build and grow with a small team. Use AI tools daily to write, test, and ship features quickly, focus on practical results, and guide how other teams use AI in their work. Design, train, and iterate on AI models and LLM-based features—taking prototypes from simple experiments to usable components that solve real product problems.
What you’ll do:
Build and ship MVPs for product features, tooling, and automation.
Design, train, evaluate, and iterate on AI models and LLM integrations for product use cases.
Use AI code assistants to write, refactor, test, and debug code as part of your regular workflow.
Juggle multiple projects and move ideas from concept to working demos.
Add basic testing, CI/CD, and observability so changes are safe and measurable.
Work closely with product and design to turn requirements into working features.
Advise others on the best AI models to use for tasks.
Required Skills:
Comfortable coding in Python and/or TypeScript.
Regular, confident use of AI coding tools and editors; familiar with “vibe coding” workflows.
Experience designing or fine-tuning models, evaluating model performance, and applying model output safely.
Able to deliver useful MVPs quickly and iterate based on feedback.
Good at managing several tasks at once and prioritizing work.
Practical mindset: ship useful work now and improve it later.
Nice to Have:
Experience with cloud platforms (AWS, GCP, Azure) or containers (Docker, Kubernetes).
Familiarity with model deployment, embeddings, and inference endpoints.
Built internal tools, automation, or simple data pipelines before.
Software Developer
PCM is hiring a Software Developer who builds production-ready applications using AI as a core part of the workflow. Daily work includes designing and integrating AI components, writing backend and frontend services in Python and TypeScript, (or other modern development languages) and connecting systems via reliable APIs. Practical, product-focused, and delivery-oriented — ship useful features quickly and iterate based on feedback.
What you’ll do:
Design and build application features that leverage AI models and services.
Implement backend services and APIs in Python; contribute to TypeScript-based frontend or server-side code.
Integrate third-party APIs and AI/ML inference endpoints, handling auth, rate limits, and error cases.
Prototype, test, and iterate on AI-powered features from concept to usable MVP.
Collaborate with product, design, and data teams to define requirements and measure impact.
Maintain code quality with testing, CI/CD, and basic observability.
Required Skills:
Hands-on experience developing applications that use AI models or AI services.
Proficient in Python and TypeScript.
Strong experience integrating RESTful and/or gRPC APIs, including authentication and retry logic.
Practical understanding of model inputs/outputs, prompt engineering, and inference trade-offs.
Comfortable delivering MVPs quickly, managing multiple tasks, and iterating from user feedback.
Good engineering practices: version control, automated tests, and deployment basics.
Visual Software Engineer
Build and maintain software for visual products such as a pupil-tracking system, camera identification product, robotics training, and a clear-LCD application. Focus is on developing robust, real-time software that turns camera feeds and display signals into reliable features and product experiences. Join a small, cross-functional team where engineering drives product direction and shipping usable systems matters most.
What you’ll do:
Design and implement software components for pupil tracking: capture pipelines, real-time keypoint detection, calibration, and performance monitoring.
Develop display-driving and integration code for clear LCD features, including rendering, timing, and synchronization with sensors or external inputs.
Build and maintain data pipelines and tooling for labeling, model training, evaluation, and deployment.
Optimize for reliability and latency in embedded or edge environments; profile and tune CPU/GPU workloads.
Create tests, CI flows, and diagnostics to ensure repeatable results across devices and conditions.
Collaborate with hardware, firmware, computer vision, and product teams to iterate from prototypes to production-ready features.
Required Skills:
Strong software engineering in Python and/or C++ (or equivalent systems language) with emphasis on real-time or near-real-time systems.
Practical experience with computer vision libraries and frameworks (e.g., OpenCV, MediaPipe, PyTorch, TensorFlow).
Experience integrating with display systems, graphics pipelines, or embedded display drivers.
Familiarity with camera pipelines, image preprocessing, and sensor synchronization.
Solid engineering practices: automated testing, version control, debugging, and CI/CD.
Ability to own features end-to-end and communicate trade-offs across hardware and product teams.
Nice to Have:
Experience deploying models to edge devices or constrained environments (ARM, mobile, or embedded Linux).
Knowledge of display technologies and timing (LCD driving, PWM, persistence, contrast).
Background in UX for visual systems, accessibility, or human-computer interaction.
Exposure to performance profiling tools, GPU acceleration, or real-time scheduling.
Robotics Engineer
West Loop Chicago (work 50% of time in the new Chicago RoboticsLab)
PCM is hiring a hands-on Robotics Engineer focused on software and firmware to make robots work reliably in the real world for both specialized and humanoid robotics. This role prioritizes software/firmware expertise over mechanical design and requires being Chicago-based (or relocating) to work from the West Loop lab at least half the time. Ship control, perception, and embedded systems that run on physical hardware and iterate quickly with the lab team.
What you’ll do:
Design, implement, and maintain robot control software, perception pipelines, and embedded firmware.
Develop sensor integration, state estimation, and real-time control loops for on-platform testing.
Build firmware for motor controllers, sensors, and comms stacks; debug and deploy to devices.
Run frequent hardware-in-the-loop and on-floor tests, diagnose on-device issues, and iterate fixes rapidly.
Improve CI, diagnostics, deployment, and OTA workflows for lab devices and small fleets.
Collaborate closely with mechanical and electrical teams to integrate software with hardware and validate system-level behavior.
Required Skills:
Located in Chicago or willing to relocate; able to work from the West Loop lab at least 50% of the time.
Strong software and firmware skills (Python plus C/C++ or Rust or relate Robotics dev experience) with emphasis on embedded/real-time systems.
Practical experience with robotics middleware or frameworks (ROS or equivalent) and sensor stacks (IMU, cameras, lidar).
Comfortable debugging on hardware, running real-world experiments, and iterating quickly.
Solid engineering practices: version control, automated testing, and reproducible deployments.
Institutional Sales Lead — Financial Services
Lead institutional sales for a prediction market trading platform for PCM. Use your financial industry relationships to drive enterprise partnerships, onboard market makers, trading firms, and institutional clients, and scale liquidity and revenue for a compliant, professional marketplace.
What you’ll do:
Own institutional go-to-market strategy for the prediction market platform and execute against targets.
Identify, engage, and close partnerships with market makers, hedge funds, prop trading desks, broker-dealers, and other institutional counterparties.
Drive client onboarding, commercial negotiations, and integration plans for institutional-grade connectivity and API access.
Work closely with product, trading, and engineering to translate institutional needs into platform features, SLAs, and market mechanics.
Build and maintain a robust pipeline, track KPIs (liquidity, volume, AUM, conversion), and report progress to leadership.
Represent the company at industry conferences, investor meetings, and with strategic partners.
Develop pricing, incentive, and partnership structures that promote sustainable liquidity and healthy market dynamics.
Partner with compliance and operations to ensure institutional onboarding, KYC/AML, and custody requirements are met.
Required Qualifications:
Proven institutional sales experience in financial services, trading platforms, crypto exchanges, market-making businesses, or related fintech products.
Established financial industry network with direct contacts at trading firms, market makers, or institutional counterparties.
Strong commercial instincts: track record closing strategic partnerships and negotiating commercial terms.
Ability to work cross-functionally with product, engineering, legal, and operations to deliver enterprise solutions.
Excellent communication, presentation, and relationship-management skills.
Crypto Quant
PCM is hiring a Crypto Quant to build and optimize trading strategies across Crypto and DeFi markets. Use Python daily to prototype, back test, and productionize models that capture edge in fragmented, fast-moving venues. Join a small, impact-driven team that values shipping MVPs, rapid learning, and AI-assisted development.
What you’ll do:
Design, implement, and optimize quantitative trading strategies for centralized exchanges and DeFi protocols.
Prototype ideas quickly in Python, back test at scale, and move successful strategies into live execution.
Integrate on-chain signals, orderbook data, and alternative feeds into feature pipelines.
Monitor live performance, diagnose degradations, and iterate on risk and execution logic.
Collaborate with engineers to deploy models, maintain observability, and automate CI/CD for strategy releases.
Required Skills:
Strong Python skills — used daily for development, testing, and analysis.
Very strong math knowledge and skills.
Experience building or maintaining trading strategies, back tests, or execution systems.
Practical knowledge of crypto markets and DeFi primitives (AMMs, lending, bridges, on-chain data).
Solid engineering habits: testing, version control, and reproducible experiments.
Ability to manage multiple projects and deliver usable MVPs quickly.
Financial Analyst
PCM is hiring a Financial Analyst on a part-time basis. This role is ideal for a recent graduate with a strong finance background looking to contribute immediately to strategic financial projects.
What you’ll do:
Mergers & Acquisitions (M&A): Assist in due diligence, financial modeling, and preparation of transaction materials.
Equity Research: Conduct in-depth private and public equity research, analyzing financial statements, and supporting investment recommendations.
Special Projects: Support the finance department with ad-hoc analysis, reporting, and strategic initiatives.
Required Skills:
Knowledge of corporate finance, valuation techniques, and accounting principles.
Exceptional analytical skills, advanced proficiency in Microsoft Excel/financial modeling, and excellent communication abilities.
Education: Bachelor's degree in Finance, Accounting, Economics, or a related field.
Stock Option Quant (Junior)
An early-career quant focused on equity and stock option models. Work with traders and engineers to build pricing, risk, and analytics tools for listed options and equity derivatives. Use Python daily to prototype models, run analyses, and help productionize features that improve trading and risk decisions.
What you’ll do:
Maintain, Implement and validate option pricing and models in Python.
Support back tests and research that test strategy ideas and hedging approaches.
Produce clean, reproducible analysis and hand off robust code or notebooks for engineering to productize.
Monitor model performance and help identify drift, edge decay, or mispricing.
Collaborate with traders, engineers, and risk teams to turn research into actionable signals or tools.
Required Skills:
Solid Python skills and practical experience writing analysis code or small production modules.
Very strong math knowledge and skills.
Working knowledge of equities and stock option concepts: implied volatility, delta/gamma/vega/theta, basic hedging.
Comfort with numerical methods, Monte Carlo simulation, or finite-difference approaches for pricing.
Strong attention to detail, reproducible workflows, and version control (Git).
Eager to learn, test ideas quickly, and accept feedback from trading and engineering partners.
Nice to Have:
Background in financial engineering, quantitative finance, physics, mathematics, or related field.
Familiarity with libraries like NumPy, pandas, SciPy, or common quant stacks.
Experience with options market data, tick processing, or exchange APIs.
Exposure to production environments, CI, or deployment practices.