About this opportunity
Hobbsnews lists this Director, Technical Program Management opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Director, Technical Program Management
Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms?
At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper.
We’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That’s where you come in.
The Frontier of AI & Solutions TPM team is at the forefront of driving innovation by accelerating Generative AI (GenAI) from cutting‑edge research into secure, compliant, and scalable enterprise‑scale production. We own and advance core platforms and high‑impact solutions, establishing the definitive enterprise guardrails and delivery pathways that enable safe, accelerated AI adoption across the entire company.
We are seeking an exceptional Technical Program Manager (TPM) to drive programs at the intersection of Generative AI research and production‑scale deployment. This role will focus on multi‑agent conversational systems, agentic AI architectures, inference optimization, and model pre‑training/finetuning workflows. You will collaborate closely with world‑class researchers, engineers, and cross‑functional stakeholders to take cutting‑edge AI models from concept to production, while ensuring alignment with risk, compliance, and business objectives.
Responsibilities
Have strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout the delivery life‑cycle.
Provide a quantitative approach to problem solving and a collaborative implementer of holistic solutions; a systems thinker.
Simplify the technically complex and drive well‑educated decisions across product, engineering, design, and data science representatives.
Drive development and orchestration of agentic AI chatbots and intelligent assistants, enabling scalable, context‑aware multi‑agent interactions.
Partner with researchers to manage pre‑training, finetuning, and inference optimization efforts, ensuring performance and efficiency at scale.
Collaborate with risk, security, and compliance teams to identify and mitigate risks associated with generative.
Establish frameworks for experimentation, evaluation, and deployment of generative AI models; track milestones, dependencies, and delivery.
Translate cutting‑edge academic research into practical applications and drive adoption into production environments.
Have exceptional communication and collaboration skills.
Have excellent problem‑solving and influencing skill.
Provide a deep focus on execution, follow‑through, accountability, and results.
Provide exceptional cross‑team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
Basic Qualifications
Bachelor’s degree in a related technical field (Computer Science, Software Engineering).
At least 7 years of experience managing technical programs.
Preferred Qualifications
7+ years of experience designing and building data‑intensive solutions using distributed computing.
3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture – preferably using AWS.
3+ years experience building highly scalable mobile products & platforms.
3+ years of experience with Agile delivery.
3+ years of experience delivering large and complex programs – where you own the business or technical vision, collaborate with large cross‑functional teams, secure commitments on deliverables and unblock teams to land business impact.
Experience in building systems & solutions within a highly regulated environment.
MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience.
Salary and Benefits
Minimum and maximum full‑time annual salaries for this role are listed below, by location:
Cambridge, MA: $230,400 – $263,000
McLean, VA: $230,400 – $263,000
New York, NY: $251,400 – $286,900
San Francisco, CA: $251,400 – $286,900
San Jose, CA: $251,400 – $286,900
This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Equal Opportunity & Accommodations
Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901–4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.