Asana

Senior Software Engineer, AI Retrieval

Asana$202K — $223K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in a production coding environment
  • Curiosity about applying AI and technology to solve problems
  • Hands-on experience in search engineering with OpenSearch or ElasticSearch
  • Experience with embeddings and machine learning in search and retrieval
  • Applied AI experience is a plus

Responsibilities

  • Reduce latency and cost of retrieval systems for faster AI features
  • Enhance quality and relevance of search results for user needs
  • Expand retrieval capabilities to include new Asana objects and third-party data
  • Build and optimize search infrastructure using OpenSearch/ElasticSearch
  • Contribute to ML-driven features like embeddings-based retrieval and semantic search
  • Collaborate with peers both locally and in international teams

Benefits

  • Mental health, wellness & fitness benefits
  • Career coaching & support
  • Inclusive family building benefits
  • Long-term savings or retirement plans
  • In-office culinary options
Full Job Description
The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work-both within and outside of Asana-and use that understanding to take action. We also own Asana's traditional search experience.

As a Senior Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources.

This role is based in our New York City 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 your recruiter can share more about the in-office requirements.

What you'll achieve
  • Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient
  • Improve the quality and relevance of search results to help users find exactly what they need
  • Expand the retrieval system's capabilities to query new Asana objects and third-party data sources
  • Build and optimize search infrastructure using OpenSearch/ElasticSearch
  • Contribute to ML-powered features like embeddings-based retrieval and semantic search
  • Collaborate with cross-functional partners in New York City while building strong relationships with your Warsaw-based peers

About you
  • 6+ years of experience writing code in a production environment
  • Curiosity about how AI and technology can solve problems and a desire to use it regularly in your work
  • Hands-on experience in search engineering, including with OpenSearch or ElasticSearch
  • Experience with embeddings and machine learning approaches to search and retrieval
  • Experience in an Applied AI role is a plus

We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.

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 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 $202,000 - $223,000. 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 Talent Acquisition Partner 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:
  • Mental health, wellness & fitness benefits
  • Career coaching & support
  • Inclusive family building benefits
  • Long-term savings or retirement plans
  • In-office culinary options to cater to your dietary preferences

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 Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AS2

About Asana

Asana is a web and mobile work management platform designed to help teams organize, track, and manage their work. It is produced by the San Francisco based company of the same name. The company was founded in 2008 by Dustin Moskovitz and Justin Rosenstein. The product launched commercially in April 2012. In September 2020, the company was valued at $5.5 billion following its direct listing.
Learn more about Asana
Size
1,200 employees
Market Cap
$2.6 billion
Industry
Net Income
-$211.7 million
Founded
2008
Revenue
$227 million
NASDAQ

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