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Technical Lead, AI Engineering

Job in Manchester, Hillsborough County, New Hampshire, 03103, USA
Listing for: Anaplan
Full Time position
Listed on 2026-07-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in‑class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We’re looking for a hands‑on Technical Lead to build and lead our Enterprise Grade AI Platform. You’ll drive execution of our conversational AI, Generative and agentic AI roadmap, managing a team of talented engineers while remaining hands‑on yourself. This role requires both exceptional leadership skills and the ability to roll up your sleeves and solve complex technical problems.

Your Impact

  • Lead, mentor, and grow a team of 5-8 AI engineers, fostering a culture of technical excellence, innovation, and delivery
  • Drive end‑to‑end execution of conversational AI features that enable users to interact with Anaplan models through natural language
  • Oversee the development of agentic AI systems that can autonomously analyse data, generate insights, and execute planning workflows
  • Own the team’s delivery roadmap, working closely with product management to prioritise features and manage technical trade‑offs
  • Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns
  • Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery velocity and quality
  • Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans
  • Build and maintain CI/CD pipelines for AI applications, including automated testing and prompt regression suites
  • Partner with platform teams to ensure AI features integrate seamlessly with Anaplan’s core infrastructure
  • Communicate progress, risks, and technical decisions to senior leadership and cross‑functional stakeholders

Your Skills

  • Software engineering experience while leading engineering teams
  • Strong hands‑on experience building and deploying AI applications in production
  • Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
  • Experience with agentic frameworks and autonomous agent architectures
  • Proficiency in Python and modern software development practices (testing, code review, CI/CD)
  • Proven track record of delivering complex technical projects on time with high quality
  • Strong project management skills with experience using Agile/Scrum methodologies
  • Excellent communication and stakeholder management abilities
  • Demonstrated ability to mentor engineers and build cohesive, productive teams

Desirable

  • Experience leading teams in fast‑growing startups or enterprise software companies
  • Knowledge of financial planning, analytics, or business intelligence domains
  • Experience with RAG systems, vector databases, and semantic search
  • Familiarity with model fine‑tuning, evaluation, and continuous improvement workflows
  • Background in distributed systems, microservices, or cloud‑native architectures
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