
Asana · New York City
Every large organization has the same problem: too many projects, not enough visibility into who's actually available to do the work. Operations teams, PMOs, an...
Every large organization has the same problem: too many projects, not enough visibility into who's actually available to do the
work. Operations teams, PMOs, and professional services firms are making staffing decisions in spreadsheets, guessing at
utilization, and finding out they're over-capacity after it's too late. Resource Management (RM) is Asana's answer to that problem
— and we're at an inflection point in how we think about it.
RM has strong foundations and proven enterprise demand, but it was built for a pre-agentic world. The next version of this product
looks fundamentally different: AI Teammates that monitor utilization in real time, flag staffing risk before it hits delivery,
recommend rebalancing across teams and projects, and automate the operational overhead that makes resource planning so painful
today. We believe this capability is worth investing in seriously — not just as a feature within Asana's broader platform, but
potentially as a standalone commercial offering for enterprise buyers whose primary need is resource visibility, not work
management.
As a Senior Product Manager leading this reinvention, you'll own the full RM product strategy — global capacity planning,
skills-based staffing, time tracking, utilization reporting, and the agentic workflows that make all of it proactive rather than
reactive. The strategic questions are genuinely open: what does RM look like as a reimagined agentic product, who is the right
buyer, and how do we price and position it as a commercial offering in its own right? This role shapes those answers.
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.
roadmap to transition from a reactive tracking tool into a proactive, agentic platform.
open strategic questions around positioning, monetization, and buyer personas.
staffing risks, and generate proactive rebalancing recommendations across complex enterprise teams.
specifically to large consulting and professional services firms.
multiple market segments without diluting user value.
build, test, and ship highly impactful, scalable solutions.
productivity, collaboration, or decision-making.
capabilities or enterprise work management tools.
workflows.
zero-to-one or heavily reimagined products forward.
unified vision.
agentic systems and AI automation.
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 compensation should be reflective of the value you create relative to the market value of your role.
To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and
conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $265,000 - $273,500. The actual base salary will vary based on various
factors, including market and individual qualifications objectively assessed during the interview process. The listed range above
is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for
most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total
compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're
interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most
important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes,
and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the
best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+
offices all over the world, we are always looking for individuals who care about building technology that drives positive change
in the world and a culture where everyone feels that they belong.
Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.
P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth * Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers * Establish best practices within the team & Databricks more widely for building valuable, AI products What we look for: * 10+ years of experience with HTML, CSS, and JavaScript * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go) * Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component * Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,900—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth * Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers * Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. What we look for: * 10+ years of experience with HTML, CSS, and JavaScript * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go) * Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component * Proven experience building and shipping end-to-end generative AI products * Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,900—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1980 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you’ll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design and other engineering teams to build intuitive and extensible products that drive user & business growth * Lead by example with hands-on front-end and full-stack software development while working with customers directly to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers What we look for: * 10 years of experience with HTML, CSS, and JavaScript or similar technologies * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * Familiarity with server-side web technologies (eg Node.js or similar), SQL and Spark Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,900—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.