Senior Director of Engineering

About Alembic

Alembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place.

At Alembic, we're not just building software—we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion-dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more.

Role Overview

As an early engineering executive, you’ll build and scale our product engineering organization—leading backend, frontend, data infrastructure, and site reliability teams. You’ll report directly to the CTO and take ownership of engineering strategy, architecture, team development, and delivery.

Key Responsibilities

• Strategic Leadership: Define and execute the engineering roadmap in alignment with Alembic’s product, data, and go-to-market objectives.
• Team Building & Culture: Recruit, mentor, and develop a world-class engineering team. Foster a collaborative, high-performance culture.
• Scalable Architecture: Architect and oversee robust, scalable systems—including data ingestion pipelines, workflow engines, complex algorithms, generative AI models, as well as cloud-based and on prem systems.
• Delivery Excellence: Ensure high code quality, reliability, security and compliance, as well as operational maturity (CI/CD, monitoring, observability).
• Cross-functional Collaboration: Partner with Product and GTM teams to deliver features that resonate with enterprise customers.
• Technical Oversight: Lead tech stack evaluations, enforce best practices (testing, documentation, architecture reviews), and champion innovation.

Must-Have Qualifications

• 10+ years in engineering roles, with ≥ 5 years in leadership (engineering manager, director, or VP).
• Proven ability to build and scale cloud-native, data-intensive, SaaS enterprise systems.
• Deep experience with large-scale data pipelines, AI/ML infrastructure, and/big data technologies.
• Strong track record of hiring and scaling engineering teams in startups (~10–100 employees).
• Excellent communication skills with a track record of working across functions.
• Startup mindset—comfortable with rapid pivots, tight delivery cycles, and wearing multiple hats.

Nice-To-Have

• Experience in distributed systems and large-scale platforms.
• Knowledge of LLM-powered pipelines, inference at scale, or real-time analytics.
• Experience working with enterprise sales and deploying to enterprise customer environments.

What You’Ll Enjoy

• An early seat on an AI-driven, mission-critical platform serving the world’s largest companies.
• Direct impact on our engineering culture and technological direction.
• High visibility and collaboration with the executive team.
• A culture centered on high integrity, shipping quickly, and problem solving at scale