Toshiba Global Commerce Solutions is seeking a hands-on Senior Enterprise Architect to lead end-to-end solution delivery, combining platform development, client engagement, and partner integrations for major retail platform. This role unifies architecture leadership (design, trade-offs, governance), platform building (infrastructure, core capabilities), client solution delivery (discovery, implementation, support), and AI-enabled acceleration to ensure high-quality, scalable, and future-ready solutions.

You will own the complete architecture lifecycle — from discovery and design to delivery and operational readiness — guiding both the Discovery Track (rapid prototyping, feasibility validation, client alignment) and the Delivery Track (production implementation, measurable outcomes) while building the underlying platform capabilities that enable future solutions. The ideal candidate blends deep architecture expertise, software development, client engagement skills, integration experience, and practical use of AI-assisted development tools to accelerate delivery while maintaining architectural integrity and operational excellence.

Key Focus Areas

Platform Infrastructure & Core Capabilities

• Design and implement scalable platform infrastructure to support emerging use cases and product evolution.
• Build and evolve core platform capabilities — APIs, microservices, data pipelines, and shared services.
• Define architecture patterns and frameworks that enable rapid feature development and platform extensibility.
• Lead technical design for new product capabilities as business requirements evolve.

Client Engagement & Solution Delivery

• Own end-to-end solution delivery for client projects, converting business needs into validated architectures and working implementations.
• Lead client-facing architecture activities: facilitate workshops, present technical solutions, drive approvals, and act as subject-matter expert.
• Translate discovery outcomes into structured delivery backlogs that preserve design intent and architecture standards.
• Ensure traceability from business requirements to implemented solutions with full operational accountability.

Product & Partner Integration Architecture

• Own integration architecture design across partner ecosystems — payments, loyalty, inventory, and cloud services.
• Define and enforce integration patterns, API contracts, and data models ensuring interoperability and scalability.
• Establish and maintain partner integration architectures, including authentication, error handling, and versioning strategies.
• Govern solution design and trade-offs with a focus on performance, security, and operational resilience.

Dual-Track Delivery Leadership

• Lead Discovery and Delivery Tracks within Dual-Track Agile — from exploratory prototypes to validated production implementations.
• Drive Discovery Track activities: rapid prototyping, feasibility validation, and stakeholder alignment before full implementation.
• Translate discovery outcomes into delivery backlogs while maintaining architecture quality and non-functional requirements.
• Ensure seamless transition from discovery to delivery with clear design intent and technical specifications.

AI-Enabled Engineering Acceleration

• Apply AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
• Introduce spec-driven and automated validation patterns that improve delivery speed and consistency.
• Coach teams on responsible and practical use of AI to enhance quality and productivity across the software lifecycle.
• Instrument and leverage agentic workflows to accelerate prototyping, code generation, and automated validation.

Hands-On Technical Contribution

• Build production-quality implementations of critical platform components, client solutions, and new infrastructure.
• Lead by example through active coding, prototyping, and technical problem-solving.
• Implement and demo reference code or critical components for both platform capabilities and client solutions.
• Participate in code reviews and hands-on delivery of complex features.
• Work primarily with cloud-native stacks (Java/Spring Boot, TypeScript, React/Vue, Docker/Kubernetes).

Governance, Mentorship & Continuous Improvement

• Define and uphold architecture standards, reusable patterns, and non-functional requirements (security, scalability, observability).
• Mentor engineers and junior architects on design practices, infrastructure patterns, and AI-assisted development.
• Conduct code reviews and enforce architecture governance, promoting best practices across teams.
• Contribute to platform strategy — identifying reusable assets, shared APIs, and infrastructure opportunities.

Key Responsibilities

Architecture & Design

• Lead end-to-end solution architecture across discovery, design, delivery, and operational readiness for both platform and client solutions.
• Design and build new platform infrastructure to support emerging product requirements and use cases.
• Produce and maintain key architectural artifacts: ADRs, interface contracts, data flow diagrams, infrastructure specs, sequencing diagrams, migration/rollback plans, and traceability matrices.
• Define and enforce architecture standards, integration patterns, and non-functional requirements across all solutions.

Platform Development

• Write production code for critical platform features and infrastructure components.
• Build core platform capabilities that enable rapid feature development and solution delivery.
• Establish reusable patterns, shared services, and API-first designs for platform extensibility.

Client Engagement

• Serve as active technical lead in client engagements: facilitate workshops, present solutions, make trade-off decisions.
• Lead Discovery Track activities, rapidly prototyping and validating solutions with stakeholders.
• Drive approvals and alignment across business and technical stakeholders.

Integration & Partnerships

• Establish and maintain partner integration architectures across third-party ecosystems.
• Govern architecture consistency across partner integrations and internal product lines.
• Define authentication strategies (OAuth, SAML, API keys), error handling, and API versioning.

Quality & Governance

• Ensure architecture quality gates and participate in design reviews and release sign-offs.
• Identify and mitigate architecture risks — compatibility, data integrity, scalability, and partner dependencies.
• Own risk analysis and mitigation for architecture decisions, including backward compatibility and compliance constraints.

Continuous Improvement

• Contribute to continuous improvement through reusable patterns, automation, and cross-team alignment.
• Mentor and upskill engineers and architects on AI-assisted development, Dual-Track workflows, and platform best practices.
• Contribute to platform and portfolio strategy, identifying gaps requiring investment and reusable assets.

Qualifications

Must-Have

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 10+ years of professional software development experience, including recent hands-on coding and prototyping in modern technology stacks.
• 5+ years designing cloud-native, microservices, or event-driven architectures (Azure or equivalent cloud platforms).
• Strong experience building platform infrastructure and scalable backend systems.
• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
• Experience with partner integrations — payments, SaaS APIs, loyalty, inventory, or authentication providers.
• Hands-on experience building prototypes or reference implementations to validate architecture and solution feasibility.
• Expertise in API-first design (REST/OpenAPI).
• Experience with relational/non-relational databases (SQL/NoSQL).
• Solid grasp of containerization, CI/CD, and Kubernetes-based delivery pipelines.
• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor).
• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
• Proven leadership in mentoring engineers, conducting code reviews, and enforcing architecture governance.

Preferred

• Strong retail platform domain knowledge (POS systems, store operations, payment processing).
• Certifications such as Azure Solutions Architect, AWS Solutions Architect, or equivalent.
• Experience with API Gateway or Integration Platforms (Azure APIM, Kong, Apigee, MuleSoft, Boomi).
• Solid understanding of API security and compliance (OAuth 2.0/OIDC, JWT, PCI).
• Familiarity with formal specifications (OpenAPI, AsyncAPI, JSON Schema) for contract-driven development.
• Background in distributed systems, microservices architecture, and infrastructure as code.
• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items.
• Experience contributing to platform strategy, reusable assets, and API-first designs.

We offer:

• Hired directly by Toshiba and 100% under payroll.
• Benefits of the law (IMSS, INFONAVIT, December day voucher, vacation voucher)
• Life insurance, major medical expenses with dental and visual coverage. (For the employee and direct family members).
• Minor medical expenses insurance.
• Savings fund for employees, capped at the limit of the law.
• Grocery coupons. 
• Pension plan.
• 12 days of vacation plus 6 floating days.

EO: Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The Varicent Associate TAM works alongside Technical Account Managers within the Customer Success organization with a portfolio of clients who have subscribed to the VIP Program. The Associate TAM will act as a Varicent adviser to client resources with the aim to maximize the VIP client’s return on their Varicent investment. This will require building strong relationship with all stakeholders and supporting business goals by solving go to market challenges with innovative solutions. This will include answering product, process and solution specific questions as well as proactively monitoring existing solutions for optimal performance. Adapting and evolving existing solution with net new implementation and adoption of new features and functionality will help further drive the value of Varicent solutions. Working in tandem with the primary TAM, the Associate TAM will play an integral role in owning the customer’s technical success and supporting all system and solution–focused conversations.

KEY RESPONSIBILITIES 

• Advanced SQL is mandatory
• Support the primary TAM in monitoring the health and performance of Varicent solutions across a portfolio of VIP customers. 
• Assist in coaching users on foundational Varicent functionality, configuration concepts, and best-practice methodologies. 
• Participate in reviewing new features, fixes, and release notes to help assess potential impact on the customer’s environment. 
• Contribute to configuring Varicent solutions based on documented customer requirements, under guidance from the senior TAM. 
• Prepare and share monthly performance, utilization, and support-related metric summaries. 
• Analyze solution usage and data patterns to help identify potential issues or areas for optimization. 
• Assist in implementing proactive maintenance actions and solution improvements. 
• Collaborate with TAMs and Internal teams to troubleshoot errors, investigate defects, and support solution optimization efforts. 
• Identify opportunities for customer value realization and surface to the primary TAM for strategic review. 
• Contribute to customer conversations that frame Varicent products as targeted solutions to process challenges, enabling thoughtful upsell, cross-sell, and expansion motions. 
• Parter with the TAM team to support sustainable customer engagement, project outcomes, and product adoption. 
• Contribute to planning and estimating tasks within the Technical Success journey, ensuring alignment within available customer VIP entitlement. 
• Work with internal stakeholders to understand change management processes and assist in recommending improvements where appropriate. 
• Collaborate with TAMs to maintain reusable object repository. 

EDUCATION & EXPERIENCE 

• At least 5 years of experience in IT Consulting, Enterprise Software Implementation  
• Prior experience with Query Based Languages and Relational Databases 
• Technical data skills including strong experience with SQL data manipulation, Microsoft Excel 
• Preferred: Understanding of Sales Performance Management domain 
• Strongly Preferred: Hands on experience of Varicent software products (Administering, implementing and / or supporting)
• Basic knowledge of system configurations, data models, and data integration best practice concepts. 

PERFORMANCE BASED SUCCESS CRITERIA  

1-3 Months

During this time, the Associate Technical Account Manager will successfully: 

• Familiarize oneself with company culture, policies, escalation paths, and internal systems.  
• Training and onboarding will be completed.  
• Learn the various systems used in daily operations. 
• Participation in team meetings and events. 

Success Indicators: 

• Complete all onboarding activities and training with passing grades 
• Seen by peers as responsive and professional 
• Demonstrate curiosity and engagement 

4-6 Months

During this time, the Associate Technical Account Manager will successfully: 

• Begin managing defined customer work triaged by your Technical Account Manager cohorts. 
• Adhere to VIP program deliverables including task tracking against active initiatives. 
• Begin to prioritize tasks, escalate blockers, communicate effectively and demonstrate problem resolution, personal growth, and adaptability.  
• Support data validation, report creation, performance troubleshooting, and config changes as needed. 

Success Indicators: 

• Complete assigned technical work with some oversight 
• Demonstrate an understanding of model structure and customer needs 
• Provide meaningful updates and documentation 

7 Months & beyond

During this time, the Associate Technical Account Manager will successfully: 

• Candidate will manage a full client portfolio.  
• Operate as a trusted technical partner, supporting the TAM at a strategic level. 
• Independently deliver core TAM activities 
• Configuration work 
• Troubleshooting & support 
• Documentation of changes and existing build 
• Generating usage, performance, and status reporting (flagging important data points) 
• Participate in journey/plan execution 

After 12 months should be able to perform all duties of a TAM 

• Performing a complete Annual Health Check  
• Articulate findings, risks, and recommendations 
• Support value tracking & outcomes 
• Support cross selling initiatives by documenting use cases and your portfolio’s technical needs 

Success Indicators: 

• Customer confidence and satisfaction 
• Portfolio managed with minimal oversight and escalation 
• High-quality delivery within contractual hours 
• Annual Health Check completed independently

Location: Remote - MX

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Data Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Data & Analytics (D&A) team, helping build and maintain the data infrastructure that powers all of our internal reporting and analytics for multiple business teams. As a team, we are actively implementing the latest AI features and cutting-edge technologies to drive business insights.

On a day-to-day basis, you will be responsible for architecting and delivering end-to-end data pipelines to support internal stakeholders. Specifically, you will:

• Design, build, and maintain scalable data pipelines and services for analytics and business intelligence.
• Develop data flows and applications for machine learning, analytics, and third-party data integrations.
• Collaborate with data scientists and analysts to deploy models and analytical solutions.
• Perform heads-down development, test your code, review peer code, and ship it to production.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to build and enhance the data infrastructure that provides critical insights to business leaders, directly impacting strategic decisions across the company. You will have an opportunity to make a difference.

WHAT WE’RE LOOKING FOR:

We are seeking a results-oriented and innovative Data Engineer who is passionate about building scalable data solutions that empower internal teams. You will play a pivotal role in developing the infrastructure that powers our internal reporting and analytics initiatives, and you should be excited about working with the latest in AI and data technology. We're looking for someone with a deep understanding of data architecture, a commitment to quality, and a collaborative spirit to support business stakeholders.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Data Engineer is the career path for you!

THE TEAM:

Our  Clari + Salesloft Data & Analytics team is comprised of seasoned and up-and-coming data professionals​​ who are all aligned on one vision and mission:

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes
• Mission: Bring science to the art of sales 

The Data & Analytics team consists of a group of curious, collaborative, and technically-driven individuals dedicated to empowering the business with data. The engineers and analysts on our team share a few common traits: they are passionate about turning data into actionable insights, thrive on solving complex problems, and are committed to leveraging cutting-edge technology to answer critical business questions.

THE SKILL SET:

Core Qualifications

• Strong SQL skills and experience with Snowflake core features, focusing on performance optimization and efficient data warehousing practices.
• Proven ability to build scalable, tested transformation layers using DBT.
• Experience managing data pipelines with Airflow and ingestion tools such as Fivetran or Estuary.
• Comfortable working with AI-assisted development tools such as Snowflake Cortex, Gemini Enterprise, or GitHub Copilot.
• Strong Git workflow experience in Agile environments (Jira).
• Bachelor’s degree in Computer Science or a related technical field.

Nice-to-Have

• Experience with BI/analytics tools and supporting reporting workflows.
• Experience working with Salesforce or other CRM data, particularly in SaaS environments.
• Familiarity with AWS or GCP, REST APIs (Postman), or Databricks.
• Exposure to Machine Learning, AI, or Data Science frameworks.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

Senior Data Analyst

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Senior Data Analysts are pivotal to our company's success. You will be a leader within our fast-growing and high-performing Data & Analytics team, responsible for driving departments to monitor their performance, understand trends, and make more informed decisions.

On a day-to-day basis, you will be responsible for owning the delivery of actionable insights that drive positive change across the business. Specifically, you will:

• Leverage complex datasets to identify and quantify key performance indicators. 
• Create dashboards and data visualizations that monitor & measure success. 
• Establish and own best practices & training materials for data-savvy users within functional departments. 
• Be a key leader in championing the impact of data, company-wide.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to [EXAMPLE: sell an impactful and revolutionary software that is changing the way sellers sell.] You will have an opportunity to make a difference. 

WHAT WE’RE LOOKING FOR:

We are seeking a highly experienced, results-oriented Senior Data Analyst who can empower the business to make better decisions with data. We are interested in people who are equal parts analytically focused and business-driven, motivated by solving real-world problems and exploring new approaches.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Senior Data Analyst is the career path for you!

THE TEAM:

Our  Clari + Salesloft Data & Analytics team is composed of Data Analysts & Data Engineers who are all aligned on one mission: to redefine the Sales Engagement space and activate the authentic seller in all of us.

The Data & Analytics team consists of passionate data engineers and analysts with a drive to enable Salesloft to make better decisions. Our team shares a few common traits: they are accountable, unafraid to experiment, and continuously learning. 

THE SKILL SET:

• 5+ years in a Data Analyst or similar role
• Expert-level proficiency in SQL and using it to create derivative data structures
• Experience with a data visualization tool (Sigma knowledge is preferred; Tableau or Looker is also a plus)
• Proven track record of using data to drive significant transformations in business processes
• Excellent written and verbal communication skills, including the ability to distill complex ideas and present them with influence to non-data focused individuals and leadership.
• Past experience in a SaaS business model is preferred
• Experience using dbt/Python/R/Git is a plus
• Proficient in AI model implementation or highly motivated to develop expertise in the field

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

C3 AI is looking for a Senior Software Engineer, Full-Stack located at our office in Guadalajara, Mexico.

Responsibilities:

• Design, develop, and maintain performant and scalable full-stack applications.
• Build and improve visual tools for application development and data science that enable users to build an end-to-end AI application quickly.
• Work very closely with, and incorporate feedback from Product Management, User Interaction Designers, Front-End and Back-End Engineers.
• Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.
• Rapidly fix bugs, solve problems, and proactively strive to improve our products and technologies.
• Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques.
• Help build a team and cultivate innovation.

Qualifications:

• Bachelor of Science in Computer Science, Computer Engineering, or related fields.
• 5+ years of professional software development experience with JavaScript, Java, or other object-oriented programming languages.
• Strong hands-on experience and understanding of object-oriented programming, data structures, algorithms, and web application development.
• Experience working JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular.
• Real passion for developing team-oriented solutions to complex engineering problems.
• Thrive in a dynamic, rapidly changing environment and value end-to-end ownership of projects.
• Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability.
• Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.
• Proficient in spoken and written English.

Preferred Qualifications:

• Advanced degree in engineering, sciences or related field.
• Experience with Git or other version control software.
• Knowledge of Agile development methodology.
• Knowledge of distributed systems, test-driven development, SQL and NoSQL databases, and performance optimization tools.
• Experience in leading engineering teams and projects.
• Experience in building scalable web applications.

C3 AI provides a competitive compensation package and excellent benefits.