Technical Program Manager

Accountabilities:

• 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.

This listing is from ats_lever. View original listing ↗