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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.

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.

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.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.

As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.

• 
  
• Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
  
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
  
• Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
  
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
  
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
  
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
  
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
  
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end‑to‑end AI platforms and solutions.
  
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI‑enabled business transformation.
  
• Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
  
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
  
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
  
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.
  

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

• 
  
• Strong analytical and decision‑making skills to develop solutions to complex problems.
  
• Proven experience in managing client relationships and leading teams.
  
• Ability to communicate effectively and influence stakeholders at all levels.
  

• 
  
• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
  
• 10+ years of experience in technology consulting, digital transformation, or AI‑driven business solutions.
  
• 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
  
• Typically, no less than 5 — 7 years of relevant experience.
  
• Strong expertise in AI Platforms and Tools.
  
• Proficiency in Data Architecture Design and Modelling.
  
• Experience in Digital Transformation and IT Effectiveness Assessment.
  
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
  
• Ability to build and manage relationships effectively.
  
• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
  
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
  
• Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
  
• Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
  
• Proficiency in Python and tools like Pandas, PyTorch, Scikit‑learn, Spark, SQL.
  
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
  
• Strong client‑facing skills with the ability to articulate technical topics to business executives.
  

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• Experience in managing change and leading teams.
  
• Strong negotiation and influencing skills.
  
• Familiarity with sector knowledge and commercial acumen.
  
• Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
  
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
  
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
  
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
  
• Exposure to agile delivery models and design thinking approaches.
  

We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you!

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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  We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  
  
  
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  Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  
  
  
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  Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

  
  
  

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

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• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

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• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

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• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

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• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

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)

Role Title: MuleSoft Developer

Location: only local of Boston, MA

Duration: 12 Months Contract (highest possible ext)

Role Description:

Role Title Required Skills

• 3+ years of building integrations using Mule 4 and DataWeave 2.0

• Design and delivery of API-led connectivity

• Experience with Anypoint Studio, Exchange, API Manager, and Anypoint Monitoring

• API Specifications using RAML/OAS (OpenAPI)

• Production deployment experience on CloudHub 2.0 and MuleSoft Runtime Fabric (RTF)

• Experience with containerized Mule applications, runtime properties, scaling, and deployment promotion patterns

• Ability to translate requirements into technical designs, interface contracts, and implementation plans Preferred Skills

• Experience with AWS networking patterns and cloud security guardrails

• Experience integrating with AWS services

• Experience with Kubernetes tooling (Helm, kubectl, ingress controllers, service mesh concepts)

• Automated testing with MUnit

• API governance (naming/versioning standards, policy enforcement, etc.)

Responsibilities

• Design, build, and maintain MuleSoft integrations and APIs using Mule 4 and DataWeave, aligned to API-led connectivity

• Develop APIs and flows that meet non-functional requirements (e.g., performance, security)

• Deploy and support applications on CloudHub 2.0 and RTF, including configuration management, scaling, and troubleshooting

• Partner with cloud/platform teams to ensure deployments align with AWS and EKS standards (networking, security, monitoring, and operations)

• Implement CI/CD pipelines and release processes to promote builds across environments with traceability and quality gates

• Establish and enforce integration best practices: error handling, logging/correlation, retries, circuit breakers, and API policies

• Perform root-cause analysis of incidents; create runbooks, dashboards, and alerts to improve operational excellence

Expected Deliverable(s) Technical Design Documentation; Code

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.