At a glanceSummarised by Seekless from the posting.
Must have7
10-15+ years of experience building SaaS technology and leading engineering teams in Big Data environments
Degree in Computer Science from a leading technical institution
Proven experience leading large, remote teams across the US and India at leading SaaS companies
Technical expertise in scalable microservices using the latest cloud technologies
Demonstrated success managing distributed teams with engineering presence in India
Strong AI/ML background with experience in generative AI, LLMs, or related technologies
Operational excellence mindset with track record of building high-performing, distributed engineering cultures
Nice to have5
eCommerce and marketplace experience, particularly working with platforms like Amazon, Shopify, Google, Walmart, eBay, TikTok
Deep AI expertise, especially in prompt engineering, orchestration layers, or verticalized AI applications
Experience in retail technology or advertising technology platforms
Track record of scaling engineering organizations through hypergrowth phases (2-5x)
Strong product sensibility and experience partnering closely with product teams
Eligibility2
Background check will be conducted after a conditional offer of employment is extended
We are proud to be an equal opportunity employer
Skills
Python
React
AWS
PostgreSQL
AI/ML
generative AI
LLMs
Serverless
NoSQL
microservices
cloud technologies
Benefits
Unlimited PTO
Remote friendly
Stock options
Health insurance
About Teikametrics
Teikametrics is revolutionizing retail through our patented Artificial Retail Intelligence platform. Our proprietary orchestration layer functions as prompt intelligence, verticalizing AI for Amazon, Walmart, TikTok and emerging marketplace use cases.
About the Role
Teikametrics is seeking a visionary and operationally excellent leader to join our team as Chief Technology Officer (CTO). Reporting directly to the CEO, this strategic yet hands-on role will drive our technology and product development as we continue our rapid growth trajectory from $50M to $100M+ in ARR.
This is a unique opportunity to shape the future of AI-powered marketplace optimization. You’ll lead the technical roadmap for our competitive advantage: a patented orchestration layer that creates IP around retail intelligence while platforming our advertising capabilities across major marketplaces.
How You’ll Spend Your Time
Operations Excellence & Team Leadership
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Lead and scale engineering teams across distributed locations (US and India)
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Drive a culture of operational excellence and engineering best practices globally
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Build and mentor a world-class distributed engineering organization
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Foster collaboration between US-based and India-based engineering teams
Technical Roadmap & Architecture
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Own and execute the technical roadmap aligned with our AI-powered marketplace platform strategy
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Simplify and expand Teikametrics’ infrastructure via scalable microservices using the latest cloud technologies (Serverless and NoSQL formats)
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Design and implement technical solutions to support scaling ARR
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Drive innovation in our patented orchestration layer and AI capabilities
Infrastructure & Integration
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Execute infrastructure to rapidly expand data pipelines across multiple major marketplaces including Amazon, Walmart, Meta, TikTok, Google, Shopify, and more
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Collaborate with Product and Senior Leadership to design and execute technology supporting business requirements
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Ensure platform scalability, reliability, and performance as we grow
Strategic Partnership
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Partner closely with the CEO and leadership team on technology strategy
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Translate business objectives into technical initiatives
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Champion the technical vision for our artificial retail intelligence platform
Who You Are
Required Qualifications
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10-15+ years of experience building SaaS technology and leading engineering teams in Big Data environments (Consumer retail and Banking industries a plus)
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Degree in Computer Science from a leading technical institution
•
Proven experience leading large, remote teams across the US and India at leading SaaS companies
•
Technical expertise in scalable microservices using the latest cloud technologies
•
Demonstrated success managing distributed teams with engineering presence in India
•
Strong AI/ML background with experience in generative AI, LLMs, or related technologies
•
Operational excellence mindset with track record of building high-performing, distributed engineering cultures
What Can Help You Stand Out
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eCommerce and marketplace experience, particularly working with platforms like Amazon, Shopify, Google, Walmart, eBay, TikTok
•
Deep AI expertise, especially in prompt engineering, orchestration layers, or verticalized AI applications
•
Experience in retail technology or advertising technology platforms
•
Track record of scaling engineering organizations through hypergrowth phases (2-5x)
•
Strong product sensibility and experience partnering closely with product teams
Why Teikametrics?
Benefits
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Shape the future of Artificial Retail Intelligence with our patented technology
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Lead technical innovation at a company with strategic backing from industry leaders
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Work on cutting-edge AI applications with real-world impact across major marketplaces
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Drive significant business outcomes during a pivotal growth phase ($50M to $100M+ ARR)
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Lead and develop talented engineering teams across two continents
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Partner directly with visionary leadership team and CEO
Our Competitive Advantage
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Patented orchestration layer that creates defensible IP in the AI-powered marketplace optimization space
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Strategic partnerships including licensing deals with Walmart and major marketplace integrations
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Strong investor backing from retail and technology leaders who bring strategic value
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Market timing: Positioned at the intersection of AI, eCommerce, and marketplace advertising
Legal
The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended.
The successful candidate’s starting pay will fall within the pay range listed and is determined based on job-related factors including, but not limited to: skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.
In addition to base salary, the compensation for this role includes potential opportunities for bonus or commissions, and equity grants. Speak with your recruiter for more information.
More Than Just a Job
Everyone’s work preferences are different but regardless of work style, we like to take care of our people. Benefits of becoming part of Team Teika:
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Competitive cash
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A robust benefits package effective on day one!
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Generous stock option packages and investment opportunities
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Remote friendly - we hire in 25 states and 3 countries
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Unlimited Paid Vacation Policy
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Flexible work schedule - work when you’re most productive and effective!
Beware of Recruitment Scams
Teikametrics will never ask you to communicate via WhatsApp, Telegram, or other messaging apps during our hiring process. We do not request payment, financial information, or purchases of equipment during recruitment. All legitimate job openings are posted on our official careers page at teikametrics.com/careers, and our recruiters will only contact you through LinkedIn or official company email addresses (@teikametrics.com).
If you’re unsure about a communication you’ve received, please contact us directly at [email protected] to verify.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.