VP of Engineering

Reposted 13 Days Ago
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San Francisco, CA
In-Office
Expert/Leader
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
The Role
The VP of Engineering will lead Alembic's engineering organization, focusing on strategy, team development, scalable architecture, and collaboration with product teams to deliver impactful features.
Summary Generated by Built In

About Alembic

Alembic is pioneering a revolution in marketing, proving the true ROI of marketing activities. The Alembic Marketing Intelligence Platform applies sophisticated algorithms and AI models to finally solve this long standing problem. When you join the Alembic team, you’ll help build the tools that provide unprecedented visibility into how marketing drives revenue, helping a growing list of Fortune 500 companies make more confident, data-driven decisions.

Role Overview

As our first 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

Top Skills

Ai/Ml Infrastructure
Big Data Technologies
Cloud-Native Systems
Data Pipelines
SaaS
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The Company
San Francisco, , California
43 Employees
Year Founded: 2018

What We Do

Alembic provides AI-powered marketing analytics for C-suite executives.

Our near-real-time platform leverages cutting-edge mathematics, proprietary algorithms, and composite AI, forming an innovative solution unmatched in the marketplace. Organizations use it to model revenue outcomes, addressing the long-standing challenge of quantifying the impact of marketing on sales. Alembic is proud to work with enterprise companies, including NVIDIA, Texas A&M, and North Sails

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