The Role
Own end-to-end technical program delivery from inception through production. Coordinate engineering, product, finance, modeling, and business teams; define scope, sequencing, dependencies, metrics, and execution plans. Remove blockers, lead Agile rituals, report program health and risks, adapt priorities, and improve TPM practices, standards, and tooling. Translate complex technical concepts for stakeholders and influence across teams without direct authority.
Summary Generated by Built In
Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We're looking for a Technical Program Manager (TPM) who thrives at the intersection of engineering complexity and business impact. In this role, you'll drive the execution of critical initiatives across our engineering organization - partnering with Product Management, Engineering, Modeling, Finance, and our Business Partners to turn ambitious ideas into delivered results. You'll work alongside a group of extremely capable, motivated, and self-identified "nice geeks" tackling some of the most interesting machine learning and data challenges in the industry.
This isn't a role where you simply track status. You'll shape how work gets done - building execution plans, working closely with engineers to clear obstacles, managing dependencies across teams, and defining the metrics that tell us if we are succeeding. If you love bringing structure to complex technical programs without slowing down the people doing the work, read on.
You will take on the following responsibilities:
You should possess the following qualifications:
You will enjoy the following benefits:
The base pay for this role will be between $125,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We're looking for a Technical Program Manager (TPM) who thrives at the intersection of engineering complexity and business impact. In this role, you'll drive the execution of critical initiatives across our engineering organization - partnering with Product Management, Engineering, Modeling, Finance, and our Business Partners to turn ambitious ideas into delivered results. You'll work alongside a group of extremely capable, motivated, and self-identified "nice geeks" tackling some of the most interesting machine learning and data challenges in the industry.
This isn't a role where you simply track status. You'll shape how work gets done - building execution plans, working closely with engineers to clear obstacles, managing dependencies across teams, and defining the metrics that tell us if we are succeeding. If you love bringing structure to complex technical programs without slowing down the people doing the work, read on.
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.
You will enjoy the following benefits:
- Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
- Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
- Learning: Tuition reimbursement, conference and training sponsorship
- Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
The base pay for this role will be between $125,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.
Skills Required
- Bachelor’s degree in Science, Technology, Engineering, or Mathematics, or equivalent work experience
- Minimum 1 year of experience in Technical Program Management
- Experience coordinating across engineering, product, or stakeholder teams
- Hands-on experience partnering with engineers
- Experience with Agile execution methodologies and Jira
- Strong analytical, planning, dependency-management, and multitasking skills
- Experience using data and metrics to drive execution and identify risks
- Excellent written, verbal, and visual communication skills
- 1–10 years of Technical Program Management experience
- Master’s degree
- Experience using Generative AI tools or Python scripting
Two Sigma Compensation & Benefits Highlights
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Strong & Reliable Incentives — Compensation packages for technical roles include substantial performance-based bonuses that create notable upside potential. This structure is described as a key reason total pay feels strong, particularly versus mainstream technology roles.
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Healthcare Strength — Healthcare is described as premium-free for employees and eligible dependents, complemented by life and disability coverage. This comprehensive offering is frequently highlighted alongside positive views of the broader benefits package.
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Parental & Family Support — Support includes financial assistance for family building, paid leave for caregivers, additional bonding time, and backup or discounted in-home childcare in some locations. These programs are presented as a meaningful part of the overall benefits.
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The Company
What We Do
Two Sigma is a leading quantitative investment management and trading firm with more than $80 billion in assets under management. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. Founded in 2001, Two Sigma employs over 1,700 curious minds at its headquarters in New York and in offices around the globe.
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Two Sigma Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible