Currently tracking 8 active AI roles, up 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $176k–$470k (avg $283k).
Enterprise · Work management
| Title | Stage | AI score |
|---|---|---|
| Senior Engineering Manager, AI Agents Senior Engineering Manager to lead the AI Teammates Platform team, responsible for the execution engine and capability layer that powers AI Teammates. This involves managing a team of engineers building systems for AI Teammate reasoning, execution, and improvement, including model integration, proactive agent behavior, and the developer platform. The role focuses on applied AI problems in an enterprise context, working with model partners and defining how AI agents collaborate with humans. | Agent | 8 |
| Senior Engineering Manager, AI Agents Engineering Manager for the Agent Orchestration team, responsible for building the integrations and agent skills that allow Asana AI Teammates to operate across enterprise tools and workflows. The role involves leading a senior engineering team, setting technical direction, and partnering with cross-functional teams to deliver enterprise-grade AI agent capabilities. | Agent |
| 8 |
| Senior Software Engineer, AI Chat Senior Software Engineer to build the backend foundations for Asana's AI chat products, focusing on shared infrastructure, tool selection, evaluation, and observability. The role involves designing and evolving platform capabilities, building shared APIs, partnering with product teams, and developing Asana's AI Evaluation platform. | AgentEval Gate | 7 |
| Senior Engineering Manager, Enterprise Services Management Senior Engineering Manager to lead a team building a new AI-native Enterprise Service Management business line at Asana, focusing on AI agents and workflow automation. | Agent | 7 |
| AI Engineer AI Engineer role focused on building scalable AI workflows for internal enterprise functions, integrating foundational LLMs with GTM stack, designing prompting strategies, orchestration logic, and tool integrations. Responsibilities include building AI data infrastructure (RAG, retrieval pipelines), designing AI interfaces, and leading the transition from POC to production. Requires 5+ years of experience in AI-driven systems and 1+ year with Generative AI (LLMs, RAG, prompt engineering). | AgentServe | 7 |
| Head of Engineering, Core Product & Collaborative Work Management Engineering leader to own and scale foundational experiences of Asana's Core product, reimagining the core experience through AI-native workflows. Responsible for building systems that enable seamless collaboration at scale, leveraging AI to reduce "work about work" and accelerate human productivity. Owns technical strategy for central work management features, optimizing architecture for LLM-powered features, real-time data processing, and predictive work patterns. Builds "AI-first" platform capabilities powering intelligent agents, automated status reporting, and smart resource allocation. Drives engineering excellence in AI implementation, establishing best practices for prompt engineering, model integration, and data privacy. Grows engineering leaders toward generative and agentic product architectures. Represents Asana’s intelligent CWM capabilities to strategic customers. | AgentServe | 7 |
| Senior Software Engineer, AI Retrieval Senior Software Engineer on the AI Retrieval team at Asana, focusing on building and optimizing systems for retrieving relevant work graph content for LLM context windows and traditional search. The role involves reducing latency and cost, improving relevance, expanding capabilities, and contributing to ML-powered features like embeddings-based retrieval and semantic search. | AgentServe | 7 |
| Principal Product Manager, AI Growth Principal Product Manager, AI Growth at Asana, focused on defining and delivering verticalized AI use cases and AI-native experiences for autonomous AI Teammates, driving product-led growth and AI consumption revenue. Manages strategic partnerships with LLM providers and leads acquisition playbooks for LLM-driven channels. | Agent | 7 |
| Senior Data Science Manager Senior Data Science Manager at Asana, leading a team focused on informing strategy, defining metrics, and driving user value through experimentation, causal inference, and ML techniques. The role involves partnering with product, engineering, and design to set strategy, mentor reports, and make hands-on contributions to ML model building and data analysis. The company is exploring AI tools. | — | 5 |
| SEO Content Manager This role focuses on SEO content strategy and execution, leveraging AI tools and understanding AI-driven search dynamics to drive organic visibility and pipeline growth for a B2B SaaS company. | — | 5 |
| SEO Content Manager This role focuses on SEO content strategy and execution, aiming to improve organic visibility and drive pipeline growth. It involves managing keyword targeting, content optimization for AI search, and leveraging AI tools for workflows. The role requires understanding how AI/LLMs impact search dynamics and partnering with various teams to align content strategy with business objectives. | — | 5 |
| Senior Product Director, Platform & Ecosystem Product Director for Asana's Platform & Ecosystem, focusing on APIs, developer tools, integrations, and security/governance for AI agents and human collaboration. This role defines strategy and leads teams building these foundational elements for an enterprise AI-powered work management platform. | — | 5 |
| Product Director, Platform & Ecosystem Product Director for Platform & Ecosystem at Asana, focusing on APIs, developer platform, integrations, and security/governance features for AI-powered work management. The role involves defining strategy, leading teams, and shaping how humans, applications, and AI agents interact securely within the Asana platform. | — | 5 |
| Customer Success Manager, Top Accounts This role focuses on driving AI-first adoption and value realization for large enterprise customers using Asana as a system for human + AI coordination. The Customer Success Manager acts as a strategic advisor, building executive relationships, architecting AI adoption roadmaps, and ensuring successful deployment and integration of AI capabilities within customer workflows. The role emphasizes understanding and translating complex AI concepts into tangible business value, operational excellence, and driving customer success in a rapidly evolving technology landscape. | — | 5 |
| Head of Customer Success APAC Asana is seeking a Head of Customer Success for APAC to lead their Customer Success team and drive the shift towards an AI-powered model, focusing on an 'Agentic Enterprise' vision. The role involves defining strategy, managing P&L, mentoring teams, and influencing the product roadmap by surfacing market insights related to AI capabilities. | — | 5 |
| Senior Data Engineer Senior Data Engineer at Asana responsible for building data artifacts to support data-informed decision-making and optimizing user adoption, growth, and experience. The role involves designing and scaling data products, transforming raw data, and leveraging AI for self-serve tools and workflow acceleration. Requires partnership with infrastructure and data science teams, and a focus on data quality, governance, and availability. | — | 5 |
| Staff Data Scientist Staff Data Scientist at Asana to define growth strategy leveraging LLM interfaces and AI-driven channels for user acquisition and onboarding. Focus on PLG, experimentation, and influencing user adoption in the AI-era. | Ship | 5 |
| Solutions Demo Engineer Solutions Demo Engineer at Asana responsible for building and maintaining demo environments, developing demo assets, and exploring emerging technologies like AI to showcase Asana's capabilities. | — | 5 |
| Global Experience Manager This role drives Asana's global localization and international growth programs, focusing on AI automation, organic growth, and autonomous workflows. The manager will oversee language specialist contractors, manage translation workflows, and own the experience design of locale-specific web experiences, shifting towards an AI-first ecosystem. Key responsibilities include training and owning Asana AI Teammates, establishing metrics for LLM performance, and analyzing international funnel performance to improve growth loops. | Agent | 5 |
| Financial Analyst, FP&A Financial Analyst role at Asana, a company focused on human + AI collaboration. The role involves owning financial forecasts, supporting strategic decisions with financial modeling, evolving FP&A processes, and establishing stakeholder relationships. The ideal candidate has financial expertise, strong collaboration and communication skills, and advanced Excel/Anaplan knowledge. Curiosity about AI tools is a plus. | — | 5 |
| Senior Software Engineer, AI Teammates Experience Senior Software Engineer to join the AI Teammates Experience team, focusing on building end-to-end features for user interaction with AI Teammates. The role involves full-stack development, collaboration with cross-functional teams, and shaping the future of AI at Asana. | Agent | 5 |
| Performance Creative Designer This role focuses on developing high-impact creative for paid media programs, using AI tools to accelerate concept generation and testing. The designer will partner with Paid Media stakeholders to continuously generate, test, and evolve creative across channels like paid social and display, balancing speed and craft while maintaining brand consistency. | — | 5 |
| Product Support Specialist Product Support Specialist at Asana, a company focused on human + AI collaboration. The role involves providing expert customer support, troubleshooting technical challenges, and acting as a liaison between customers and the product team. The role requires a strong technical aptitude, problem-solving skills, and excellent communication. While not directly building AI, the role requires curiosity about AI tools and a willingness to leverage them for productivity. | — | 5 |
| Staff Software Engineer, API Staff Software Engineer, API role at Asana, focusing on driving technical vision and execution for the developer platform. This involves owning API gateways that enable data flow into and out of Asana, supporting public APIs for app/agent building, and enabling LLMs to take action. The role requires setting technical strategy, mentoring engineers, collaborating with Product, Design, Data Science, and User Research, and shaping API design guidelines. The engineer will develop across the stack using Scala, Javascript, and Typescript. | Agent | 5 |
| Solutions Consultant, AI Studio Solutions Consultant role focused on supporting the technical validation of Asana's AI solutions (AI Studio and Asana Teammates) for customers. The role involves partnering with sales and engineering teams, understanding customer needs, demonstrating AI solutions, and gathering feedback for product teams. It is a customer-facing technical role within the AI Solutions team, aiming to drive revenue growth by showcasing the business impact of Asana's AI capabilities. | — | 5 |
| Solutions Consultant, AI Studio Solutions Consultant for Asana's AI Studio, focusing on customer acquisition and revenue growth by validating Asana's AI solutions, translating business challenges into practical solutions, and acting as a storyteller for AI transformation. This role supports sales, works with product teams, and delivers enablement content. | — | 5 |
| Senior Software Engineer, AI Studio Senior Software Engineer to build the next generation of Asana AI Studio, a no-code builder for AI-powered workflows. The role involves working on customer-facing product experiences and backend systems, partnering with Product, Design, and Data Science to make AI-powered workflows intuitive, capable, and reliable for organizations. | Ship | 5 |
| Group Tech Lead, Adoption Engineering Asana is seeking a Group Tech Lead for their Adoption Engineering team, focusing on creating zero-to-one product experiences and defining new AI functionality for customer onboarding to drive user activation and long-term engagement. This role involves setting technical strategy, designing and implementing product experiences, leading large cross-team projects, and fostering an engineering culture. The ideal candidate has 6+ years of experience in fast-paced environments, experience leading cross-team projects, and a track record of mentoring engineers, with a demonstrated curiosity for leveraging AI tools. | — | 5 |
| Manager, User Research Manager, User Research role at Asana focused on understanding modern work dynamics and how AI is reshaping them. The role involves leading a team of researchers, defining new product primitives, and ensuring decisions are grounded in customer understanding, particularly in the context of AI-native workflows. | — | 5 |
| Head of R&D Operations Head of R&D Operations at Asana, a human + AI collaboration platform. This role focuses on architecting internal R&D systems, optimizing the Product Development Lifecycle using Asana and AI tools, and overseeing NPI programs. The goal is to create an efficient innovation environment and elevate PM workflows. | — | 5 |
| Customer Enablement Manager This role focuses on customer enablement and adoption of Asana's platform, which is described as a human + AI collaboration tool. The manager will lead initiatives, influence cross-functional teams, and scale content to maximize customer impact and drive customer success. While the company leverages AI, this specific role is not directly building or researching AI models. | — | 5 |
| Senior Solutions Architect Senior Solutions Architect role at Asana, focusing on technical partnership in enterprise sales cycles. The role involves managing complex technical projects, influencing product roadmaps, and building architectural foundations for work orchestration. It requires expertise in Asana's API, AI, and platform ecosystem, with responsibilities including technical validation, platform enablement, and influencing future AI capabilities. | — | 5 |
| Engineering Manager, Enterprise Services Management Engineering Manager for Asana's new Enterprise Service Management business line, which is AI-native and powered by AI agents. The role involves leading a team to build and scale AI agentic workflows and enterprise SaaS products, focusing on customer needs and rapid product delivery. | Agent | 5 |
| AI GTM Specialist Asana is seeking an AI GTM Specialist to drive AI product ARR by partnering with core Account Teams on AI Studio and AI Teammates deals. This role involves owning commercial strategy, pitch co-development, deal execution, and translating customer needs into compelling commercial narratives. The specialist will also shape regional AI GTM motions, build field enablement, and serve as a feedback loop to Product, PMM, and R&D teams. Familiarity with AI concepts and LLMs is required, along with strong sales and commercial experience. | — | 5 |
| Data Science Manager, Product Asana is seeking a Data Science Manager for their Product team. This role will lead a team of data scientists, guide product strategy using data, and collaborate with leadership across Product, Engineering, and Design. The ideal candidate has experience managing data scientists, a strong track record in data-informed decision making, and curiosity about AI tools. While not directly building AI models, the role is within an enterprise AI company and focuses on leveraging data and AI to inform product strategy. | — | 5 |
| Corporate Account Executive Corporate Account Executive role at Asana, a company that offers a platform for human + AI collaboration. The role focuses on managing and closing new and existing business opportunities within a portfolio of corporate customers, acting as a main point of contact, and developing customer champions. The ideal candidate will have experience in sales processes, pipeline building, and customer service, with a demonstrated curiosity about AI tools and emerging technologies to enhance productivity. The role is based in Munich and involves a hybrid office schedule. | — | 5 |
| Product Marketing Manager, Partnerships Product Marketing Manager for Asana's strategic technology integrations and ecosystem partnerships, with a focus on AI-powered integrations. This role involves owning the end-to-end product marketing strategy, including messaging, positioning, launches, sales enablement, and go-to-market strategy, requiring deep collaboration with Product, Partnerships, Sales, and Marketing teams. | — | 5 |
| Staff Data Scientist, Marketing Staff Data Scientist role focused on enhancing marketing effectiveness through data science and ML modeling. Responsibilities include architecting roadmaps, providing technical leadership, mentoring junior scientists, and developing MLOps processes. The role requires expertise in advanced statistical modeling, causal inference, experimental design, and machine learning, with a focus on marketing-specific models like MMM, LTV, and MTA. Collaboration with marketing leadership and influencing data infrastructure are key aspects. | — | 5 |
| Software Engineer, CI/CD Software Engineer focused on CI/CD and developer tooling, with an emphasis on integrating AI tools to enhance developer efficiency and product delivery pipelines within a large-scale software organization. | — | 5 |
| Help Center Content Writer This role focuses on creating and optimizing content for Asana's Help Center, leveraging AI tools to enhance efficiency and discoverability. The writer will translate technical concepts into user-friendly language, maintain content accuracy, and use analytics and user research to identify improvement opportunities. While the role uses AI tools extensively, it does not involve building or shipping AI models. | — | 5 |
| Engineering Manager, Reference Anything Engineering Manager to lead a new team focused on building Asana's 'Records' product, which aims to enhance data capabilities by allowing users to manage structured data within their work context, evolving the Work Graph to support complex data relationships and create a source of truth for business processes. | — | 5 |
| Senior Product Manager, AI Ecosystem Integrations Senior Product Manager to lead Communications Integrations team, focusing on Google, Microsoft, and Slack. The role involves defining experiences that connect Asana AI with third-party AIs and agents, driving adoption and growth through strategic partnerships and cross-functional collaboration. | Agent | 5 |
| Senior Product Manager, Project & Task Experience Senior Product Manager for Asana's Project & Task Experience team, focusing on defining and delivering roadmaps for enterprise customers, creating intuitive software experiences, and balancing multiple priorities including compliance. The role involves cross-functional collaboration with engineering, design, research, and marketing to ship impactful solutions for team productivity and collaboration within the Work Management category. Demonstrates curiosity about AI tools and emerging technologies. | — | 5 |
| Senior Software Engineer, AI Product Frameworks Senior Software Engineer to modernize custom, home-built frameworks and lead them toward industry-standard, open-source best practices. The role will empower product engineers and AI agents by identifying friction points and architecting new, AI-native approaches. This involves leveraging AI agents to speed up migration from legacy systems to modern open-source frameworks. | Agent | 5 |
| Staff Data Scientist, Marketing Staff Data Scientist on the Marketing Data Science team at Asana, responsible for designing and building scalable, state-of-the-art solutions to enhance marketing effectiveness using data and scientific techniques. This role involves driving the technical roadmap, providing technical leadership and mentorship, and developing MLOps processes. The focus is on marketing analytics, causal inference, and deploying ML models for business strategy. | — | 5 |
| Group Product Manager, Mobile Product Manager for Asana's mobile platform, focusing on team productivity and collaboration. The role involves defining product strategy, collaborating with engineering and design, and delivering impactful solutions for millions of users. Experience in mobile, B2B platforms, and complex data models is preferred. Demonstrates curiosity about AI tools and emerging technologies. | — | 5 |
| Software Engineer, CI/CD Software Engineer, CI/CD role at Asana focused on building and operating high-performance CI/CD pipelines and developer tooling. The role involves integrating AI tooling to enhance developer efficiency and improve the development lifecycle, but the core deliverable is the CI/CD infrastructure itself, not AI models or agents. | — | 5 |
| Mobile Product Design Manager Product Design Manager at Asana, a company focused on teamwork and collaboration, with a stated mission of human + AI collaboration. The role involves leading product designers, shaping strategy, and overseeing mobile product experiences. While the company is involved in AI, this specific role is focused on product design management and leveraging AI tools for productivity, not directly building AI models or systems. | — | 5 |
| Senior Software Engineer, Product Senior Software Engineer on the Product team at Asana, a platform for human + AI collaboration. This role involves full-stack development to design, build, and release new features for millions of users, focusing on overcoming technical challenges and improving quality and velocity. The role also includes mentoring engineers, owning technical design and execution, and partnering with the Tech Lead on technical strategy. While the company is AI-focused, this specific role is not directly building AI models but rather contributing to the core product which may leverage AI tools. | — | 5 |
| Senior Data Engineer Senior Data Engineer role focused on building and scaling end-to-end data products to support business and product teams at Asana. The role involves influencing best practices in Databricks and cloud data engineering, leading automation efforts, and collaborating with technical and business teams. While not directly building AI models, the role requires curiosity about AI tools and emerging technologies to enhance productivity. | — | 5 |