Full Stack Software Engineer, AI products

Company:  Tbwa Chiat/Day Inc
Location: Toronto
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Full Stack Software Engineer, AI products Remote - US/Canada Company Overview Most marketing teams can’t play a meaningful role in breaking through to target accounts because the 1:1 marketing strategies that work don’t scale, and what scales doesn’t work. Mutiny helps B2B companies generate pipeline and revenue from their target accounts through AI-powered personalized experiences, 1:1 microsites, and account intelligence. Our customers are some of the fastest growing companies in the B2B space including Snowflake, 6sense, Writer, Segment, and Qualtrics. We are backed by Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator. About the role: We’re looking for a high-impact software engineer who enjoys working at the intersection of applied AI and Data Science to drive important product initiatives. What you’ll do: Build across the stack to help best-in-class B2B companies scale their growth. Collaborate with design and product to build SOA AI-powered features. Build scalable and resilient systems on top of the inherently non-deterministic nature of LLMs. Design and build data and AI powered services to be consumed by other engineering teams. Help set direction for Mutiny’s data and AI strategy. What you bring : 5+ years of experience in software engineering Proficiency in Python. Understanding of Data Science and comfortable with manipulating/cleaning/normalizing data. Full-stack mindset — autonomous in implementing features end-to-end which helps design useful AI services. Ability to communicate nuanced ideas clearly, whether explaining technical decisions in writing or brainstorming. Love to collaborate with engineers across the spectrum of seniority and experiences. Energized by ambiguity and can create structure in a dynamic, fast-paced environment. Familiarity with LLM techniques (RAG, vector databases, langchain, agent frameworks) is a plus. What you’ll get out of it: Create a name for yourself by supporting some of the fastest-growing companies in B2B SaaS. Exposure to real business problems every company faces (growth) that you can take with you to start your own company. Experience a new way of working with a fully distributed team across North America and the EU. Fun, as our first company value is that work should feel like play. Hiring process for this role: The hiring process for this role looks like this: Hiring Manager Phone Screen (30 minutes): discuss your experience in engineering AI or data powered systems. Technical Challenge (60 minutes): dive deeper into your technical skills. Virtual Onsite (three back-to-back interviews): meet with more members of the Guidance and leadership team. Our values: These values define how we approach our work every single day: Work should feel like play Faster always wins Stir the pot, regularly Do the right thing when no one’s watching All hands on deck Live in the world you want to change At Mutiny, we are committed to empowering individuals of all backgrounds, experiences, and identities to reach their potential. Compensation: Mutiny offers a competitive compensation package including base salary, equity, and comprehensive benefits. The estimated salary range for this role for US-based employees is $170,000-210,000. These ranges may be modified in the future. Additional benefits: Live and work from anywhere Quarterly offsites in fun cities Flexible paid time off and generous parental leave 100% medical, dental, and vision coverage $1,500 WFH stipend We are fully remote and offer H1-B Sponsorship. #J-18808-Ljbffr
Apply Now
Share this job
Tbwa Chiat/Day Inc
  • Similar Jobs

  • Full Stack Software Engineer, AI products

    Toronto
    View Job
  • Senior Software Engineer, AI Products

    Toronto
    View Job
  • Senior Software Engineer, AI Products

    Toronto
    View Job
  • Senior Software Engineer, AI Products

    Toronto
    View Job
  • Senior Software Engineer, AI Products

    Toronto
    View Job
An unhandled exception has occurred. See browser dev tools for details. Reload 🗙