Technical Program Manager

You will take on the following responsibilities: - Own the end-to-end program lifecycle - from inception through production - for one or more strategic initiatives, partnering closely with engineers, product managers, and other TPMs to define scope, sequence work, and drive delivery.

• Identify and resolve obstacles before they become blockers, escalating decisively when needed.
• Lead team rituals - sprint planning, stand-ups, retrospectives - with a focus on making them genuinely useful rather than performative.
• Provide clear, honest reporting on program health, status, risks, and trade-offs to stakeholders at all levels.
• Drive cross-functional communication laterally and upward - proactively ensure that the right people have the right information at the right time. Bridge gaps between peer teams, surface decisions that need escalation, and keep leadership aligned on progress, risks, and resource needs so there are no surprises.
• Adapt plans as business priorities shift, working with engineering and product leadership to re-sequence work and protect the most critical outcomes.
• Contribute to the evolution of TPM practices, standards, and tooling across the organization - helping raise the bar for how programs are run at Two Sigma.

You should possess the following qualifications: - BS or equivalent work experience in Science, Technology, Engineering or Math (an MS is a plus).

• Minimum 1 year of experience required; 1-10 years of experience preferred in Technical Program Management.
• Experience coordinating across teams - you've helped align engineers, product managers, or other stakeholders around shared goals. You don't need to have run a massive program, but you should be comfortable working across boundaries and influencing without direct authority.
• Hands-on experience partnering with engineers - you're someone technical teams trust and want to work with.
• Experience with execution methodologies and tools including Agile and Jira - applied pragmatically to keep complex programs on track.
• Strong analytical and planning skills, with the ability to decompose large problems, identify dependencies, and manage multiple parallel workstreams across distributed teams.
• Practical data and metrics skills, with experience using quantitative measures to drive execution, surface risks, and optimize business value.
• Excellent communication skills - written, verbal, and visual - with a talent for translating sophisticated technical concepts into clear, business-friendly language.
• Hands-on technical fluency - experience leveraging GenAI tools or scripting in Python to accelerate your own work is a plus.

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