Engineering Manager - Forecasting & Scheduling

About the role

The role involves setting technical direction and making product decisions for Forecasting and Scheduling, a fullstack product team that builds algorithms and user experiences for support organizations. The team works closely with Product Managers, designers, Machine Learning Engineers, and the GTM team to determine what to build, and collaborates directly with customers to implement changes.

Responsibilities

• Set technical direction and make product decisions for Forecasting and Scheduling
• Collaborate with Product Managers, designers, ML engineers, and the GTM team to determine what to build
• Work directly with customers to implement changes that improve how support orgs operate
• Reimagine Workforce Management for the AI era
• Build products that span deep technical work and the user-facing aspects of the product
• Ensure the team delivers value to customers quickly and effectively
• Promote technical investment and raise the engineering bar
• Deploy AI in ways that compound, without creating unnecessary cleanup

Requirements

T-shaped leader: Broad understanding of the team and its place within company goals, with the ability to dive deeply when necessary.

Great team builder: Can internally motivate the team and recruit high-quality engineers.

Holds the bar high: Ensures the team delivers value to customers quickly and effectively.

Champions technical investment: Beats the drum for technical improvements and can distinguish between debt-taking and moving fast.

Strong product instincts: Knows what to build, not just how to build it, and can wear the PM hat when needed.

Thoughtful about AI as a force multiplier: Understands where AI speeds up processes and where it adds unnecessary work.

Nice to have:

• Background in operations research or an adjacent quantitative field
• Experience with optimization, queueing theory, simulation, applied math, or ML with a heavy optimization bent

Qualifications

Technical leadership and people leadership: Combines deep technical expertise with strong interpersonal skills.

Wide-ranging knowledge: Ability to understand the big picture and dive into details as needed.

Skills

Technical leadership: Setting technical direction and making product decisions.

People leadership: Building a motivated and high-performing team.

Product instincts: Knowing what to build and how to prioritize features.

Thoughtfulness about AI: Understanding how to leverage AI effectively and avoid unnecessary complications.

Benefits

• Generous medical, dental, and vision benefits
• Paid company holidays, sick time, and unlimited time off
• Monthly credits for professional development, wellness, Assembled customers, and commuting
• Catered lunches and fully stocked kitchen
• 401(k) plan enrollment
• Stock options as part of the compensation package