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VP, Software Engineering

Job in Nashua, Hillsborough County, New Hampshire, 03062, USA
Listing for: Optimizely
Full Time position
Listed on 2026-09-02
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

Location: Nashua, US, 3063 Austin, US, 78705 London, GB, WC2N 4JS

We're not here to add to the noise. We're here to cut through it- with AI that actually works for marketers.

From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use. AI-Ready. Set. Go.

10,000+ brands including H
· M, Pay Pal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in Mar Tech.

But here's the thing about building great products: it takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We don't do corporate speak. We do real conversations, big ideas, and genuinely care for the work we make together.

If you want to be part of a team that's shaping the future of marketing technology — and actually enjoys doing it — you're in the right place.

Find us on Instagram: @optimizely

Introduction

The VP, Software Engineering is responsible for realizing product vision across one or more of Optimizely's core product lines or broad cross-cutting horizontals — with a sharp focus on how AI shapes how we build, operate, and continuously improve. They are trusted, respected engineering leaders who drive personnel management, program management, engineering operations, technical excellence, and strategy development across their focus area.

This role sits at the center of Optimizely's AI-forward engineering culture. The VP champions the adoption of AI-assisted development practices — from code generation and automated testing to intelligent code review and developer tooling — ensuring engineering teams work smarter and ship faster. They also own the internal operating model for Engineering: how we run, how we measure ourselves, and how we get better over time.

They balance technical depth with a bias toward execution, process, and delivery. They are strong collaborators who build cross-organizational consensus, negotiate priorities, share information openly, and drive broad initiatives to meet commitments. They act as leaders and active participants in company-wide efforts that deliver business value and drive continuous improvement, and serve as exemplars of Optimizely's values.

Job Responsibilities
AI-Assisted Development and Tooling
  • Champions the adoption of AI coding tools (e.g. Git Hub Copilot, Claude, Cursor) across engineering teams, establishing clear standards, enablement programs, and measurable impact metrics.
  • Drives the evaluation, rollout, and governance of AI-assisted development practices — including code generation, automated code review, test generation, and documentation — ensuring responsible and effective use at scale.
  • Partners with product and platform teams to identify where AI can meaningfully accelerate delivery quality, developer experience, or operational efficiency.
  • Stays current on the evolving AI development tooling landscape and shapes Optimizely's internal point of view on what to adopt, build, or avoid.
Engineering Operations and Internal Improvement
  • Owns the operating model for Engineering: how teams are structured, how delivery is measured, how health is monitored, and how we improve cycle-over-cycle.
  • Defines and drives engineering-wide metrics (delivery velocity, quality, incident response, system reliability) and builds the feedback loops that turn data into action.
  • Leads cross-team retrospectives, post-mortems, and process reviews that result in durable operational improvements — not just one-off fixes.
  • Drives internal engineering improvement initiatives: developer experience programs, productivity tooling, onboarding quality, and knowledge-sharing systems.
  • Partners with the CTO to continuously improve the engineering team's overall structure, organization, and delivery of results.
Leadership, Strategy, and Delivery
  • Directs delivery, operational, and/or people management for one or more product verticals and/or broad platform horizontals.
  • Fosters an environment that treats sound architecture, high-quality implementations, and secure systems as first-class product requirements.
  • Understands the…
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