Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.
About 11x
What You'll Do
Ideal Candidates Have
Most of what GTM teams do all day isn't selling. It's monotonous work like research, list-building, follow-ups, and data entry - things that should never have been a human job in the first place.
11x is building the AI platform for growth by automating the busywork so GTM teams can focus on what they do best: building relationships and closing deals.
Backed by $75M+ from a16z and Benchmark, headquartered in San Francisco, and trusted by leading teams at Checkr, Xerox, Rillet, and much more. We're hiring ambitious people who want to define how the next generation of companies accelerate growth.
About the RoleWe're looking for a fullstack engineer with a passion for applied research and cross-functional collaboration. In this role, you’ll work closely with engineering leadership and our AI partners to prototype, build, and scale the next generation of autonomous digital workers.
This is an immersive opportunity to deepen your expertise in large language model applications, system design, and human-AI interaction—while learning how fast-moving AI companies operate from the inside. You’ll gain hands-on exposure to the latest model capabilities, contribute to internal experimentation, and help translate cutting-edge ideas into real-world tools.
- Design, build, and iterate on fullstack systems that power AI agents from concept to deployment.
- Research and evaluate new approaches to agent orchestration, prompting strategies, and model alignment.
- Collaborate with product, design, and engineering teams to improve UX and usability for non-technical users.
- Share learnings, document findings, and contribute to the evolution of internal best practices.
- Participate in peer reviews, brainstorming sessions, and technical deep dives with our global team.
Ideal Candidates Have
- 6+ years of experience in a product-oriented software engineering role.
- A strong foundation in Typescript, React, NextJS, and NodeJS.
- Experience working in fast-paced environments with a track record of rapid learning and iteration.
- Interest in research, technical writing, or contributing to knowledge-sharing within a team.
- Bonus: experience with large language models, prompt engineering, or AI infrastructure.
Canada base salary range: CAD $180,000 – $225,000
Seattle base salary range: USD $180,000 – $250,000
*Final offer will be based on a variety of factors, including role level, relevant experience, skills, and job-related expertise.
11x is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Similar Jobs
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Design, implement, and maintain partner integrations and solutions; translate partner requirements into scalable technical implementations; troubleshoot and resolve issues; drive onboarding and steady-state maintenance; collaborate across product, engineering, and partner teams to improve tools and partner experiences.
Top Skills:
Big DataGoJavaJavaScriptPythonSQL
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead Canada compliance for Square and Afterpay: own annual compliance plan, manage AML/ATF, RPAA, PCI, consumer protection and privacy programs, drive regulatory engagements, board reporting, issue remediation, and build AI-enabled compliance solutions across functions.
Top Skills:
ChatgptConfluenceGitJIRALookerOpenai EnterpriseProtechtTableau
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Build and run Product Marketing operating systems to improve planning, portfolio visibility, messaging lifecycle, launch governance, and cross-functional accountability. Create templates, roadmaps, readiness criteria, and automation-enabled workflows; partner across functions to codify roles, decision rights, and handoffs; measure adoption and continuously improve processes to enable clearer, more consistent go-to-market execution.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



