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Location Details: Remote, United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you'll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you'll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role's hybrid or remote designation.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

What you'll get to do...

Define the Enterprise Integration & Partner Platform Strategy

• Lead the strategy and roadmap for GoDaddy Commerce's headless commerce APIs and partner SDKs that enable external software platforms to embed payments and commerce workflows.
• Develop a clear vision for who integrates with us, why, and how — prioritizing integrations that deliver high merchant and partner value aligned to our platform core competencies.
• Build and maintain a deep understanding of partner evaluation criteria, technical architecture, and enterprise buyer needs — positioning GoDaddy Commerce competitively alongside platforms like Stripe, Adyen, and Finix.

Champion Enterprise & ISV Partner Workflows

• Serve as the voice of enterprise software partners — from technical architects to product leaders — ensuring our APIs, documentation, and certification processes reflect the needs of real integration teams. 
• Map and optimize end-to-end partner workflows: onboarding → certification → go-live → reporting → revenue share → compliance.
• Translate integration complexity (devices, stores, payment endpoints, invoicing, virtual terminals, headless POS) into scalable, configurable platform solutions.

Drive Payments & Commerce Platform Capabilities

• Partner with engineering to define APIs and services for payments, orders, catalog, inventory, customers, and sales channels that support both embedded and in-person commerce.
• Build support for advanced enterprise requirements including: 
  • Multi-entity and multi-location configuration
  • Reporting and commissions APIs
  • Activity and transaction tracking
  • Risk and fraud scoring hooks
  • Customer authentication and tokenization flows
  • Reseller administrator portal
• Collaborate with Payments, Risk, and FinOps teams to ensure accurate settlement, reporting, and reconciliation across embedded payment flows.

Influence and Collaborate with Enterprise Clients

• Meet directly with enterprise partners and resellers to understand their technical and business integration needs, gather feedback, and guide co-development pilots and close sales.
• Partner with Business Development and Solutions Engineering to support partner evaluation cycles, ensuring APIs, sandbox tools, and documentation demonstrate enterprise-grade capability and reliability.
• Translate client conversations into actionable platform requirements, balancing enterprise flexibility with platform scalability.

Deliver Hypothesis-Driven Product Discovery

• Use experimentation and partner pilots to validate API features and developer experiences before scaling.
• Measure what matters: partner integration velocity, merchant attach and retention, API usage, revenue contribution, and partner NPS.
• Continuously iterate roadmap priorities based on adoption, partner satisfaction, and ecosystem performance.

Scale and Evangelize the Partner Platform

• Collaborate with GTM and Solution Engineering to create integration blueprints, API playbooks, and sandbox environments that reduce time-to-value for new partners.
• Define certification standards and reference architectures for recurring vertical use cases.
• Share insights and findings across GoDaddy Commerce to shape our long-term platform strategy for embedded commerce and payments.

Your experience should include...

• 8+ years of product management experience in platform, API, or payments products, with deep knowledge of payments architecture and commerce primitives.
• 2+ years of ISO 8583 financial messaging experience.
• Proven success embedding payments/commerce into enterprise ISV and middleware platforms with measurable adoption outcomes.
• Expert in headless and API-first product development, including API design tradeoffs, SDK usability, and developer enablement.
• Strong client-facing skills leading discovery, solution reviews, and executive briefings with enterprise partners.
• Track record of cross-functional influence across engineering, business development, operations, and compliance teams.

You might also have...

• Experience with platforms such as Stripe Connect, Adyen for Platforms, Finix, Square Developer Platform, or Shopify's Partner APIs.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.

This role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.

About the Role

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met.

Responsibilities

• Manage all technical aspects of product through product lifecycle
• Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables
• Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization
• Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics
• Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable
• Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered
• Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)
• Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)
• Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning
• Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration
• Break down a medium to complex vision into smaller projects, initiatives or features

Qualifications

Skills: Must-Have

• Product strategy & prioritization
• Data platform fundamentals
• ML literacy
• Stakeholder communication
• Designing for expert users without alienating new ones
• Clear documentation and onboarding flows
• Understanding user workflows—not just APIs

Strong Differentiators

• MLOps understanding
• Experimentation and metrics fluency
• Responsible AI leadership
• Platform UX thinking
• Stakeholder Management

Required Skills

• Align business leaders, engineers, data scientists, legal/compliance, and ops
• Translate technical constraints into business-relevant language
• Manage expectations around ML uncertainty and iteration

Preferred Skills

• Data Concepts You Should Be Fluent In
• Data types: structured, semi-structured, unstructured
• Data pipelines (batch vs. streaming)
• Data quality dimensions: accuracy, completeness, timeliness
• Data lineage and observability
• Metadata, schemas, and versioning
• Platform Thinking
• APIs, SDKs, and self-service capabilities
• Multi-tenant vs. single-tenant design
• Performance, scalability, and cost tradeoffs
• Internal vs. external (customer-facing) platforms
• Machine Learning Fundamentals Every PM Should Know
• Supervised vs. unsupervised learning
• Training vs. inference
• Features, labels, and training data
• Model evaluation metrics (precision, recall, AUC, RMSE, etc.)
• Overfitting vs. generalization
• ML Product Realities
• ML outputs are probabilistic, not deterministic
• Model performance degrades over time (data drift, concept drift)
• Improving models often requires better data, not better algorithms
• ML development is experimental and iterative
• Areas that must be understood
• Model training pipelines
• Model deployment patterns (batch, real-time, edge)
• Model monitoring and retraining
• Versioning of models and data
• Rollbacks and experimentation (A/B tests, canary releases)

Who You Are:

The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices.

The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud.

What You'll Do:

• Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends.
• Translate business requirements into effective data visualizations using best practices in visual analytics.
• Optimize dashboards for performance, scalability, and usability.
• Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs).
• Create and maintain data models, joins, calculations, parameters, and filters.
• Perform data validation and reconciliation to ensure accuracy and consistency.
• Work closely with stakeholders to gather requirements and understand reporting needs.
• Provide data-driven insights and recommendations to support strategic and operational decisions.
• Conduct user training and enablement sessions when needed.
• Monitor dashboard usage and performance.
• Troubleshoot data issues, refresh failures, and user access problems.
• Enhance and maintain existing dashboards as business needs evolve.

You'll Need To Have:

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
• 5+ years of Tableau development experience.
• Solid understanding of SQL for data querying and validation.
• Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle).
• Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters.
• Strong analytical mindset with attention to detail.
• Ability to interpret data and explain insights clearly to non-technical audiences.
• Understanding data modeling concepts (facts, dimensions, star schema).
• Excellent communication and stakeholder management skills.
• Ability to gather requirements and translate them into technical solutions.
• Strong problem-solving and time management skills.

We'd Love To See:

• Experience with Tableau Cloud administration.
• Knowledge of ETL tools like Talend or AWS Glue.
• Experience with Python or R for advanced analytics.
• Familiarity with Agile / Scrum methodologies.
• Tableau certification (Desktop Specialist, Certified Data Analyst, etc.).

Capri Perks:

• Generous Holiday Schedule & Vacation Days
• Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace)
• Cross-brand Discount
• Exclusive Employee Sales
• Fav 5 Cards (MK Discount for friends and family)
• 401k Match
• Paid Parental Leave
• Thrive Wellness Program (seasonal in-office massages and more!)
• Commuter Benefits
• Gym Discounts

CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success.

The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories.

At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at

In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Senior Integrations Software Developer

Overview:

We are looking for a Senior Integrations Software Developer to lead the design and development of our enterprise-wide GraphQL API layer, which serves as the central integration platform connecting all enterprise systems and applications. This role goes beyond coding—you will partner with business stakeholders and technical teams to translate complex business requirements into clear, scalable integration solutions. You will also play a key role in shaping the API platform strategy, mentoring developers, and driving best practices across the organization.

Key Responsibilities:

• Lead the development and evolution of the enterprise GraphQL API layer, ensuring it meets performance, scalability, and security standards.
• Partner with business stakeholders and technical teams to understand integration needs and deliver straightforward, effective solutions.
• Define and enforce API design standards, governance, and best practices across teams.
• Guide and mentor mid-level and junior developers, fostering a culture of collaboration and technical excellence.
• Work with diverse databases, including MS SQL, PostgreSQL, Oracle DB, and others, ensuring efficient data access and transformation.
• Contribute to API platform engineering, improving developer experience and enabling other teams to integrate seamlessly.
• Participate in architectural discussions, influencing decisions on integration patterns and enterprise connectivity.
• Drive continuous improvement in CI/CD pipelines, containerization strategies, and deployment processes.

Required Skills & Qualifications:

• 5+ years of professional experience in software development, with at least 2 years in a senior or lead role.
• Expert proficiency in JavaScript/TypeScript and Node.js.
• Deep experience with GraphQL and REST API design and implementation.
• Strong understanding of API architecture, authentication, and authorization mechanisms.
• Hands-on experience with relational databases (MS SQL, PostgreSQL, Oracle DB).
• Proficiency with Docker for containerization and deployment.
• Familiarity with event driven architecture (SNS/SQS, Kafka)
• Knowledge of API gateway technologies and microservices architecture.
• Ability to communicate complex technical concepts to non-technical stakeholders clearly and effectively.
• Proven track record of delivering scalable integration solutions in enterprise environments.

Preferred Qualifications:

• Experience with enterprise systems integration (CPQ, ERP, PLM, CRM).
• Familiarity with CI/CD pipelines, DevOps practices, and cloud platforms (AWS, Azure, or GCP).
• Strong leadership and mentoring skills, with the ability to influence technical direction.