Head of Engineering, Core Product & Collaborative Work Management
AsanaNew York City$399k – $470kPosted 17 March 2026
Job Description
Asana is seeking an experienced engineering leader to own and scale the foundational experiences of our Core product, the heart of our collaborative work management platform. In this era of intelligent automation, you will lead the teams responsible for the essential features millions of users rely on daily, while reimagining the core Asana experience through the lens of AI-native workflows.
This role sits within our Product Engineering Group and reports directly to the CTO. You will be responsible for building the systems that enable seamless collaboration at scale, ensuring Asana remains the most intuitive platform for teams by leveraging AI to reduce "work about work" and accelerate human productivity.
This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve:
Lead the Core Product/CWM engineering organization as we scale to support complex workflows, balancing powerful functionality with AI-driven simplicity that keeps the user experience effortless.
Own the technical strategy for Asana’s central work management features (tasks, projects, portfolios), ensuring our architecture is optimized to support LLM-powered features, real-time data processing, and predictive work patterns.
Partner with Product and Design to define the future of AI-assisted collaboration, evolving our platform from a system of record to a system of intelligence that proactively helps teams organize and prioritize.
Build "AI-first" platform capabilities that allow other teams to leverage our core work graph, providing the robust APIs and data structures necessary to power intelligent agents, automated status reporting, and smart resource allocation.
Drive engineering excellence in AI implementation, establishing best practices for prompt engineering, model integration, and data privacy within the core product lifecycle.
Grow engineering leaders by mentoring managers and engineers to think beyond traditional CRUD applications toward generative and agentic product architectures.
Represent Asana’s intelligent CWM capabilities to strategic customers, demonstrating how our core platform uses AI to solve their most complex coordination challenges.
About you:
10+ years of engineering experience with 5+ years leading teams, with a track record of shipping high-impact products and a forward-thinking approach to integrating AI/ML into user-facing applications.
Deep understanding of collaborative software and distributed systems, with specific interest or experience in how AI can optimize complex data relationships and work graphs.
A passion for AI-native user-centric design, understanding how to use Large Language Models (LLMs) to enhance—rather than complicate—the user’s daily workflow.
Strong technical perspective on the modern AI stack, including experience or familiarity with integrating third-party models (OpenAI, Anthropic) or internal ML services into a production environment.
Hands on experience building with AI Tooling. We would love to see your github!
Excellent communication skills, with the ability to bridge the gap between deep technical AI infrastructure and the tangible business value it provides to our customers.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensati ... (truncated, view full listing at source)
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