Senior Engineering Manager, AI Sim (AI Engineering)

TL;DR

Senior Engineering Manager (AI Simulation): Leading the backend team responsible for the core functionalities, APIs, and data planes that power R&D efforts in simulating molecular behavior with scientific precision with an accent on bridging research and production-grade engineering. Focus on owning the technical strategy for the platform's development, establishing rigorous engineering best practices, and mentoring a team of customer-obsessed engineers.

Location: Remote, must be located within 75 miles of San Francisco, Los Angeles, Seattle, New York, Boston, and Washington, DC (Tier 1) or located in all other Locations in the US (Tier 2)

Salary: $224,000 – $336,000 (Tier 1) or $194,960 – $292,439 (Tier 2)

Company

hirify.global is a high-growth company delivering AI solutions that address some of the world's greatest challenges, with Large Quantitative Models (LQMs) powering advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

What you will do

• Lead and mentor a high-performing team of backend engineers, managing career development and fostering a culture of continuous growth and humility.
• Manage sprint ceremonies and planning meetings to align team efforts with strategic product goals, maintaining a tight feedback loop between engineering and end-users.
• Manage tech debt to an appropriate level in a fast-moving, early-stage product, evaluating the tradeoff between durable software and scrappy prototypes.
• Manage delivery, scheduling, and timelines to optimize predictability of delivery.
• Drive technical decision-making for the AISim simulation and data platform, ensuring solutions are maintainable, scalable, and secure.
• Collaborate with researchers, product managers, and internal stakeholders to translate complex scientific requirements into clear technical deliverables and implementation plans.

Requirements

• 10+ years of software engineering industry experience including at least 4 years in a management role with a proven track record of remaining technically hands-on while leading and growing engineering teams.
• Proven track record of shipping high-quality software with sustained high velocity and predictability.
• Experience leading teams building early-stage products, and making staffing, technical, and other planning decisions in such an environment.
• Deep understanding of software design principles, architectural patterns, and building cloud-based SaaS products.
• Strong experience with GCP (or another major cloud provider) including networking, compute, and container orchestration.
• Excellent communication skills with the ability to influence cross-functional teams and translate customer requirements into high-impact solutions.

Nice to have

• Domain experience in drug discovery, cheminformatics, or advanced materials, particularly applying AI/ML systems to these scientific fields.
• Experience building compute and data platforms for scientists that orchestrate large amounts of compute, data, training, and inference.
• Background in supporting secure enterprise deployments in regulated or security-sensitive environments.

Culture & Benefits

• Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
• Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
• Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.