Technical Project Manager

Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Today, institutions will spend 80% of their time gathering information for and creating first drafts of materials by hand before iterating on and refining their decks, models, and pitches.

Farsight is partnered with S&P Global and has the opportunity to shape the future of financial services!

Our team comes from Evercore, General Atlantic, Amazon, Hugging Face, founding engineers of other startups, and plenty more!

Farsight is moving fast, and as our product and enterprise customer base scale, the way we coordinate work across our technical teams has become one of our highest priorities. This role exists to make that happen.

As our Technical Project Manager, you will sit at the intersection of our Software Engineering, AI, and Infrastructure & Security teams. You will own our application lifecycle management process end to end: every project — from enterprise feature commitments to internal platform work — will run through the process you operate, with clear requirements, owners, sequencing, and timelines at every stage.

You will work as the direct counterpart to our Product Manager. The Product Manager brings priorities, requirements, and customer context in from our GTM org; you turn those into scoped, sequenced, and tracked projects across the technical teams, and deliver realistic timelines — built from estimates by the engineers doing the work — back up so GTM always knows where things stand. Together, you and the Product Manager will jointly prioritize the roadmap based on customer importance on one side and engineering cost, dependencies, and duration on the other.

Today, much of this coordination is done ad hoc by our engineers on top of their day jobs. Your success means they never have to do it again.

This is not a coordination role for someone who likes to run meetings. It is a high-ownership, high-impact position for someone who gets uncomfortable when things are unclear and fixes them. This is a role reporting to our COO!

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  Own our application lifecycle management process end to end — every project moves through clearly defined stages with documented requirements, owners, and definitions of done, and you make sure nothing gets lost, stalled, or misunderstood along the way

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  Build project timelines from estimates provided by the engineers doing the work, track progress against them, and communicate status and changes to the Product Manager and GTM org so expectations always match reality

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  Partner with the Product Manager to jointly prioritize projects, weighing customer and GTM importance against engineering effort, dependencies, and tradeoffs

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  Coordinate requirements, sequencing, and dependencies across the Software Engineering, AI, and Infrastructure & Security teams — including the security and scalability work required to take features from working to enterprise-ready — so no team is blocking another

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  Manage projects with hard customer deadlines: identify risks early, and when things take longer than expected, drive the decision on what to cut, resequence, or renegotiate to get delivery back on track

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  Take coordination and process work off our engineers' plates so they can focus on building

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  Run sprint planning, standups, and retrospectives with a focus on velocity and clarity, not ceremony

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  Surface blockers early, escalate when needed, and drive resolution without creating overhead

• 4+ years of experience in technical project management, program management, or a closely related role, ideally at a startup or high-growth tech company

• Strong technical fluency: you don't need to write code, but you need to understand how software gets built, what makes something technically complex, and why timelines slip

• Proven ability to coordinate across multiple technical teams — software engineering, AI/ML, infrastructure, DevOps, security — and translate between them

• Experience building realistic delivery timelines from engineering estimates and holding teams accountable to them without burning trust

• Highly organized with a low tolerance for ambiguity: you create clarity where others leave things vague

• Experience at an AI-native startup where non-deterministic systems added coordination complexity

• Experience delivering into enterprise environments with security, compliance, or infrastructure requirements

• Experience introducing or operating a project lifecycle process at a company that didn't have one before