Senior Technical Program Manager

This is a fully remote position, open to applicants in Europe.

📋 Description

• Take ownership of the timing and process for product and engineering releases.

• Collaborate closely with the Senior Product Manager and leaders in Engineering, Applied AI, Research, and the FDE team.

• Streamline and unify tools into the minimal number of record systems possible.

• Manage the complete SDLC and Linear, setting deadlines, monitoring capacity, and offering a six-month outlook.

• Create automated development workflows that include compliance, security, and privacy assessments.

• Standardize the transition from FDE to Engineering, deciding when extensions are productized, deprecated, or integrated into the main model.

• Facilitate cross-team operational rhythms among Applied AI, Engineering, and Research.

• Coordinate interdependencies across locations including San Francisco, Europe, and Israel.

• Ensure alignment on API and technical specifications, covering API signatures, terminology, and system architecture.

• Propel built capabilities through to launch.

• Organize and lead weekly or biweekly operational reviews with engineering leadership.

• Work collaboratively across departments such as Marketing and Sales.

⛳️ Requirements

• 7+ years of experience in technical program management, engineering management, or a hybrid role within a rapidly growing software or AI company.

• Hands-on experience with the machine learning or LLM development lifecycle.

• Proven history of establishing SDLC and tooling in companies with a workforce of 50 to 300 employees.

• Experience in migrating organizations from tool sprawl to a cohesive stack is a plus.

• Ability to coordinate with senior engineers and researchers without direct management.

• Profile that fits a Director or Principal-level individual contributor.

• Experience managing engineering coordination across various time zones, particularly the US/Europe/Israel triangle or equivalents.

• Excellent written communication skills.

• Background in enterprise B2B SaaS, especially in companies with both a platform approach and a Forward Deployed Engineering or solutions approach, is advantageous.

• Experience working alongside an FDE or applied team where customer-driven projects require productization is a plus.

• Familiarity with model deployment, inference infrastructure, or MLOps at production scale is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision benefits.

• Flexible work hours and the option for remote work.

• Opportunities for professional development and career advancement.

• Collaborative and innovative work environment.