
1 - 10 employees
💳 Fintech
🤝 B2B
Fintech • B2B
Parallel Partners is a staffing firm specializing in the recruitment of information technology personnel for direct hire positions within the financial services and trading industries. Established in 1995 and headquartered in Chicago, they cater to clients such as international hedge funds, proprietary trading firms, investment banks, online brokerages, and trading software product vendors. Acquired by Next Step Systems in 2014, Parallel Partners focuses on placing high-frequency trading systems and algorithmic trading specialists, as well as providing expertise in financial engineering and risk management.
🕒 October 12
🏄 California – Remote
💵 $165k - $200k / year
⏰ Full Time
🟠 Senior
⚒️ Technical Product Manager (TPM)
👻 Ghost score 0%
Where this job comes from
Posted on Parallel Partners's careers page, not through a job board
First seen by Remote Rocketship October 12
Still open on Parallel Partners's site. Checked 2 hours ago.

1 - 10 employees
💳 Fintech
🤝 B2B
Fintech • B2B
Parallel Partners is a staffing firm specializing in the recruitment of information technology personnel for direct hire positions within the financial services and trading industries. Established in 1995 and headquartered in Chicago, they cater to clients such as international hedge funds, proprietary trading firms, investment banks, online brokerages, and trading software product vendors. Acquired by Next Step Systems in 2014, Parallel Partners focuses on placing high-frequency trading systems and algorithmic trading specialists, as well as providing expertise in financial engineering and risk management.
• Research and define end-to-end Artificial Intelligence (AI) system requirements from capability to behavior to user impact • Translate model capabilities, data constraints, and evaluation results into clear product and system decisions • Make trade-offs across quality, latency, cost, reliability, and User Experience (UX) • Work closely with Machine Learning (ML), backend, and mobile engineers on system design, evaluation, and iteration • Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback • Drive execution with clear specs, strong judgment, and disciplined prioritization • Ensure systems ship quickly, safely, and reliably, with strong feedback loops • Own product quality end-to-end, including correctness, predictability, and user trust • Align product strategy with AI capabilities, user needs, and company priorities • Deliver understandable, predictable, trusted AI features • Establish clear roadmaps and priorities with fast iteration based on real user feedback • Align teams to execute AI product goals with minimal friction
• Artificial Intelligence (AI) and Machine Learning (ML) experience • Strong grounding in computer science fundamentals, including algorithms, data structures, and system design • Solid understanding of Machine Learning (ML) fundamentals and how modern Artificial Intelligence (AI) systems behave in production • Comfort reading, reviewing, and discussing technical design documents • Hands-on exposure to AI-powered products, including Large Language Model (LLM)-based systems • Experience with model evaluation, prompt or pipeline iteration, and feedback loops • Strong intuition for model limitations, hallucinations, bias, and drift • Significant experience owning complex, technical products end-to-end • Proven ability to work closely with senior engineers and Machine Learning (ML) teams • Strong judgment and decision-making ability in ambiguous, fast-moving environments • Ability to balance ambition with technical and operational reality • Must be willing to take a 60 minute coding assessment
• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO (paid time off) • Remote work / Work From Home
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