Technical Program Manager

• Own and manage the full lifecycle of technical and research programs, from planning and roadmap development through execution, delivery, and post-launch evaluation.
• Partner closely with research, engineering, and infrastructure teams to translate complex technical goals into structured project plans and actionable milestones.
• Facilitate team ceremonies, including stand-ups, retrospectives, and planning sessions, ensuring effective collaboration while maintaining agility.
• Track dependencies, risks, and resource allocation across multiple initiatives, including data requirements, infrastructure needs, and compute resources.
• Drive alignment among stakeholders, ensuring priorities, timelines, and objectives remain synchronized across teams.
• Contribute to the development of internal processes, documentation standards, project management practices, and collaboration frameworks as the organization scales.
• Monitor project progress, proactively identify bottlenecks, and implement solutions that improve team effectiveness and execution speed.

Requirements

• 1-3 years of experience in technical program management, technical project management, or a related role.
• Alternatively, a background in software engineering, data science, or another technical discipline with a strong interest in transitioning into program leadership.
• Strong organizational and project management skills, with the ability to manage multiple priorities in a dynamic environment.
• Excellent communication and stakeholder management abilities, with experience collaborating across technical and non-technical teams.
• Comfortable navigating ambiguity and adapting quickly to changing priorities and evolving business needs.
• Demonstrated proactive mindset with a strong focus on problem-solving, ownership, and continuous improvement.
• Interest in artificial intelligence, machine learning technologies, and emerging technical trends.
• Ability to facilitate alignment and drive collaboration across cross-functional teams.

Nice to Have:

• Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Familiarity with machine learning lifecycles, including model training, evaluation, and deployment.
• Experience working with large datasets, particularly tabular data.
• Exposure to AI, research, or advanced technology-focused environments.

Benefits

• Competitive compensation package including salary and equity participation.
• Comprehensive healthcare coverage for employees and eligible dependents.
• Paid parental leave supporting all paths to parenthood, including adoption and surrogacy.
• Relocation assistance for employees joining one of the company's office locations.
• Opportunity to work at the forefront of AI innovation and enterprise technology.
• Collaborative, mission-driven culture that values ownership, initiative, and diversity of thought.
• Significant opportunities for professional growth and career development in a rapidly scaling organization.