Overview

The Director, AI Product is responsible for translating enterprise AI strategy into high-impact, production-ready AI products and capabilities. Reporting to the Senior Director of AI, this role owns the AI product portfolio—from discovery through scaled execution—ensuring AI initiatives are designed, delivered, and adopted as true business products with clear outcomes. 

This leader serves as the connective tissue between business sponsors, AI engineering teams, data/platform leaders, and the AI Center of Excellence (CoE). The role requires strong product leadership, systems thinking, and the ability to operate AI initiatives with discipline, speed, and measurable value. 

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

AI Product Strategy & Portfolio Ownership  

• Own and manage a portfolio of AI products and use cases aligned to enterprise priorities and strategic domains. 
• Translate business problems into well-defined AI product roadmaps with clear success metrics and value hypotheses. 
• Ensure AI initiatives progress through defined lifecycle stages (Discover → Prototype → Execute → Available). 

Product Management & Delivery 

• Act as senior product owner for priority AI initiatives, partnering with business sponsors to define outcomes, KPIs, and adoption plans. 
• Lead cross-functional delivery teams (AI/ML, data, engineering, analytics, UX) to deliver production-ready AI capabilities. 
• Balance experimentation with execution—knowing when to pivot, scale, or stop initiatives based on evidence. 

Business Partnership & Value Realization 

• Partner closely with business leaders to ensure AI products solve real problems and drive measurable operational or financial impact. 
• Support business owners through handoff and scaling, enabling sustained ownership post-deployment. 
• Contribute to AI value storytelling and executive reporting in partnership with the Senior Director of AI. 

AI Operating Model & Governance 

• Operate within the AI Center of Excellence hub-and-spoke model, ensuring AI products align to enterprise standards and governance. 
• Collaborate with Responsible AI, security, privacy, and architecture stakeholders to embed controls early and consistently. 
• Reinforce product discipline, documentation, and lifecycle management across the AI portfolio. 

Team Leadership & Capability Building 

• Lead and mentor AI Product Owners, Business Analysts, and cross-functional product contributors. 
• Establish repeatable product practices, templates, and playbooks for AI delivery at scale. 
• Contribute to the broader AI product and innovation culture across the enterprise. 

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Charlotte, North Carolina. 
• This role requires 4 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

Required 

• 12+ years of experience in product management, digital platforms, data, or AI-adjacent roles. 
• Proven experience owning and delivering complex, cross-functional products from concept to scale. 
• Strong ability to partner with business leaders and translate strategy into execution. 
• Working knowledge of AI/ML concepts, data platforms, and product lifecycle management.   

Preferred 

• Experience managing AI or advanced analytics products in an enterprise environment. 
• Familiarity with portfolio-based funding, governance, and value measurement. 
• Experience operating within a federated or hub-and-spoke delivery mode 

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
• Corporate Vehicle Program with:
  • Eligibility for 1 assigned vehicle
  • A mobility stipend

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $180,000.00 - $220,000.00

Internal leveling code: M6

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Install, configure, and maintain AI platform and tools.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.
• Build, containerize, and deploy AI services using Docker.
• Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
• Deploy and manage AI services across cloud and on-prem environments.
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
• Monitor system performance, reliability, and scalability of AI platforms.
• Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
• Perform regular security updates, patching, access control, and vulnerability remediation.
• Integrate AI tools with APIs, data platforms, and internal systems.
• Research, evaluate, and prototype new AI, LLM, and MLOps tools.
• Troubleshoot infrastructure, data, and deployment issues.
• Research, test, and prototype emerging AI technologies.
• Document system architecture, deployment processes, and operational runbooks.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years Practical experience with LLM platforms, LLMOps, and MLOps.
• Experience deploying and maintaining AI or data platforms in production.
• Hands-on experience with AI/automation tools.
• Experience designing and orchestrating agentic automation workflows.
• Strong experience with Terraform and Infrastructure-as-Code.
• Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
• Expertise with cloud platforms such as AWS.
• Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
• Strong Knowledge of Kubernetes and orchestration.
• Solid understanding of networking.
• Experience supporting high-availability, production AI systems.
• Scripting skills (Python, PySpark, Bash).
• Knowledge of security best practices, patch management, and access controls.
• Collaborate with engineering, data, and product teams to support AI initiatives.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• A teaching and coaching approach to guiding engineers and teams in approaches.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Internal leveling code: IC8

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Perform nonlinear structural simulations using LS-DYNA for component, subsystem, and full-vehicle applications.
• Analyze structural performance, load paths, stiffness, intrusion, and energy management across crash scenarios.
• Build, manage, and execute high-fidelity FE models using ANSA, Primer, and HyperMesh.
• Correlate structural CAE predictions with physical test data and support post-test reviews and root-cause investigations.
• Develop structural countermeasures and support design teams with data-driven recommendations.
• Support CAE integration across crash, NVH, durability, thermal, aero, and vehicle-dynamics domains.
• Review structural changes, reinforcements, joints, and stiffness updates for cross-attribute impacts.
• Contribute to vehicle milestone readiness, design releases, and cross-functional sign-off activities.
• Participate in multi-attribute technical reviews and support continuous improvement of CAE tools and processes.
• Support implementation of AI/ML tools to streamline CAE workflows, including automated preprocessing, model setup, and simulation quality checks.
• Support development and use of AI-driven predictive models to complement traditional simulations, improve early design guidance, and assist cross-attribute decision-making.

Who You Are

• A technically strong CAE engineer with a solid understanding of vehicle crashworthiness and structural mechanics.
• Comfortable working in a cross-functional OEM product development environment.
• Detail-oriented, analytical, and capable of balancing engineering rigor with program timing.
• Able to communicate complex technical results clearly to engineering and non-engineering stakeholders.
• Motivated by building safe, durable vehicles and continuously improving engineering processes.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time to test facilities, supplier sites, or manufacturing location
• Travel: Domestic and international travel required, approximately 10% of the time. Valid driver's license required. 

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Required

• Bachelor’s degree in mechanical engineering or a related field.
• 10+ years of experience in structural crash CAE within an automotive OEM or Tier-1 supplier environment.
• Hands-on experience with LS-DYNA.
• Proficiency with CAE pre- and post-processing tools such as ANSA, Primer, HyperMesh, or equivalent.
• Working knowledge of global crash regulations and consumer safety protocols.
• Strong technical documentation and communication skills.
• Ability to work legally in the United States without employer sponsorship.

Preferred

• Master’s degree in mechanical engineering or related discipline.
• Experience with electrified vehicles (BEV/REEV) and/or frame-based vehicle architectures.
• Exposure to CAE–test correlation, DOE, or robustness studies.
• Familiarity with advanced material or damage models (e.g., GISSMO).
• Experience supporting OEM release and sign-off processes.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $130,000.00 - $160,000.00

Internal leveling code: IC8

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Lead strategic IT Finance initiatives and provide visionary leadership in the design, development, and implementation of ERP Finance solutions 
• Collaborate with business domain leads and Application vendors to understand requirements and technical capabilities to identify opportunities to leverage IT applications to improve business processes and drive efficiency 
• This role focuses on aligning ERP Finance capabilities with enterprise-wide financial strategies, ensuring seamless integration, scalability, and compliance 
• Acting as a trusted advisor to solution teams and managers, the architect will bridge technical expertise and financial business priorities to deliver scalable, high-impact solutions 
• Serve as a trusted technical advisor to the Finance IT Business Partner, offering insights on SAP Finance direction and proactive steps 
• Collaborate with other Solution Architects and Application Vendors to ensure alignment across all financial systems and other enterprise systems 
• Operate independently, identifying strategic finance-related initiatives and driving them to completion 
• Lead critical SAP Finance projects such as S/4HANA implementation, and integrations with external financial systems 
• Foster strong relationships between IT and Finance and Accounting departments, aligning technical solutions with financial goals 
• Stay ahead of emerging technologies such as AI/ML and predictive analytics in financial operations 
• Participate in architecture review boards and alliances as needed 
• Formulate software and product roadmaps to ensure viability and business continuity for supported IT platforms 

Location & Travel Expectations: #LI-Remote #LI-Hybrid

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require attendance at in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• A minimum of 10 years of related experience is required 
• Deep understanding of Finance Applications (FI, CO, Asset Accounting, Treasury, Tax, etc.) and ERP best practices 
• Strong technical design skills and ability to translate financial requirements into scalable ERP solutions 
• Proven ability to lead ERP Finance implementations and optimize financial processes 
• Familiarity with financial data flows, compliance requirements, and API integrations 
• Experience with cloud-based financial platforms and trends in automation and analytics 
• Exceptional communication skills to convey financial technical concepts to diverse stakeholders 
• Ability to distill complex concepts into actionable technical plans and requirements 
• Experience with system architecture methodologies, scalability, and integration processes 
• Familiarity with industry architecture frameworks such as TOGAF 
• Bachelor's degree preferred 

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $170,000.00 - $206,250.00  

Internal leveling code: IC6

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

THE ROLE

As the lead architect of our AI technical value narrative, you will drive the digital and content strategies that captivate technical leaders and the infrastructure community. You will translate complex AI Factory architectures and high-performance storage differentiators into compelling stories that bridge the gap between enterprise data and intelligence. By distilling the "how-to" of AI data orchestration into clear, differentiated value propositions, you will empower our global sales teams and influence the next generation of data-centric AI innovation.

WHAT YOU'LL DO

• Architect the AI Technical Content Roadmap: Design and execute high-impact technical assets—including deep-dive blogs, interactive digital experiences, and live webcasts—that demonstrate how the Everpure Platform accelerates AI/ML workloads and RAG architectures.
• Pioneer AI Integration Showcases: Own the evangelism of AI capabilities, including Model Context Protocol (MCP) servers, by building demonstrations that show how AI agents securely interact with the Everpure Unified Data Plane.
• Orchestrate the Technical Bill of Materials (BOM): Lead the creation of a high-fidelity "AI toolkit," ensuring Field Sales and Partners have the reference architectures and deployment guides necessary to win in the market.
• Drive Digital Technical Experiences: Execute the strategy for digital showcases on everpure.com, specifically building Pure360 demonstrations and TestDrive environments to allow customers to interact with our virtual sandbox.
• Translate Feature Logic into Market Value: Act as the primary technical liaison between Product Management and Marketing to turn complex features—like DirectFlash efficiency or Evergreen//One for AI—into selling points for infrastructure architects.
• In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Expertise in the AI Lifecycle: Deep technical knowledge of storage and infrastructure combined with a functional understanding of the AI pipeline, including training, fine-tuning, and inference.
• Technical Content Mastery: Proven ability to translate complex engineering concepts into simple, differentiated narratives for technical decision-makers across written, video, and presentation formats.
• Cloud-Native & Data Pipeline Fluency: Proficiency in Kubernetes and containers, specifically how Portworx by Everpure manages data for stateful AI applications, and how to solve "Data Preparation Bottlenecks" with high-throughput storage.
• Hands-on Technical Proficiency: Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
• Collaborative Leadership: Ability to align outcomes across Product, Engineering, and Sales teams to ensure a unified AI story across the entire Everpure portfolio.

THE ROLE

As the lead architect of our AI technical value narrative, you will drive the digital and content strategies that captivate technical leaders and the infrastructure community. You will translate complex AI Factory architectures and high-performance storage differentiators into compelling stories that bridge the gap between enterprise data and intelligence. By distilling the "how-to" of AI data orchestration into clear, differentiated value propositions, you will empower our global sales teams and influence the next generation of data-centric AI innovation.

WHAT YOU'LL DO

• Architect the AI Technical Content Roadmap: Design and execute high-impact technical assets—including deep-dive blogs, interactive digital experiences, and live webcasts—that demonstrate how the Everpure Platform accelerates AI/ML workloads and RAG architectures.
• Pioneer AI Integration Showcases: Own the evangelism of AI capabilities, including Model Context Protocol (MCP) servers, by building demonstrations that show how AI agents securely interact with the Everpure Unified Data Plane.
• Orchestrate the Technical Bill of Materials (BOM): Lead the creation of a high-fidelity "AI toolkit," ensuring Field Sales and Partners have the reference architectures and deployment guides necessary to win in the market.
• Drive Digital Technical Experiences: Execute the strategy for digital showcases on everpure.com, specifically building Pure360 demonstrations and TestDrive environments to allow customers to interact with our virtual sandbox.
• Translate Feature Logic into Market Value: Act as the primary technical liaison between Product Management and Marketing to turn complex features—like DirectFlash efficiency or Evergreen//One for AI—into selling points for infrastructure architects.
• In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Expertise in the AI Lifecycle: Deep technical knowledge of storage and infrastructure combined with a functional understanding of the AI pipeline, including training, fine-tuning, and inference.
• Technical Content Mastery: Proven ability to translate complex engineering concepts into simple, differentiated narratives for technical decision-makers across written, video, and presentation formats.
• Cloud-Native & Data Pipeline Fluency: Proficiency in Kubernetes and containers, specifically how Portworx by Everpure manages data for stateful AI applications, and how to solve "Data Preparation Bottlenecks" with high-throughput storage.
• Hands-on Technical Proficiency: Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
• Collaborative Leadership: Ability to align outcomes across Product, Engineering, and Sales teams to ensure a unified AI story across the entire Everpure portfolio.

#LI-ONSITE

#LI-KT1

Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

Identity Senior Solution Specialist -Endpoint & Identity Security

As an Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions. You will report to the Senior Manager in the OFCTO organization. 

What you’ll be doing 

1. Strategic Customer Engagement:
• Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
• Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
• Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
• Develop customer-centric points of view that translate Okta’s solutions to customer problems.
• Lead technical discovery sessions with security and infrastructure leaders to uncover challenges related to endpoint security, passwordless adoption, and identity threat vectors.
• Deliver compelling, customized demonstrations and architectural sessions focused on Okta Device Access (including Okta FastPass, Desktop MFA) and our Identity Threat Protection capabilities.
• Design and execute outcome-focused Proof of Concepts (POCs) that prove Okta’s value in preventing account takeovers and securing access from any device.
• Maintain a broad and deep technical understanding of the Okta identity product lines and the underlying technologies and protocols
• Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders
2. Technical Leadership:
• Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
• Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
• Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.
3. Field Enablement and Collaboration:
• Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
• Partner with sales leadership to identify and address critical business opportunities and challenges.
• Drive cross-functional collaboration to ensure seamless execution of global initiatives.
• Innovate in tools and techniques to drive excellence and momentum
• Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.
4. Market Influence:
• Represent Okta as a thought leader in the identity and security space.
• Influence industry standards and participate in relevant technical advisory boards.
5. Innovation and Strategy:
• Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
• Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

Position Requirements:

Identity & Directory Services Mastery

• Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.
• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.
• Hybrid Identity: Experience managing the complexities of identity synchronization between on-premises environments and the cloud.

Device Identity & Access Management Mastery

• Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.
• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.
• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.
• Identity Threat Detection & Response (ITDR)
• Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.
• Behavioral Analysis: Experience with User and Entity Behavior Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.
• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

And extra credit if you have experience in any of the following! 

• Hands-on experience with Okta's Threat Protection suite (e.g., suspicious activity reporting, risk-based authentication).
• Experience with other ITDR vendors or device access solutions.

• Certified Identity Professional (CIDPRO), CISSP, CCSP, or CISM.
• Scripting or automation skills (e.g., Python, PowerShell) for security integrations.

#LI-Remote

SSP4CM

P212832

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to educate Okta’s Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey. 

We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineers, this Senior Solutions Engineer (Okta) will partner with Commercial Account Executives. As a Senior Solutions Engineer at Okta, you will be the technical lead in all stages of the customer lifecycle. You will focus on delivering customer value by aligning customer requirements to business results enabled by Okta solutions. You will contribute to account and opportunity strategies and, collaboratively, demonstrate the value of Okta solutions through presentations, whiteboard sessions, and proof-of-concept demonstrations.

What You’ll Do

As a Senior Solutions Engineer, you’ll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Serve as a technical advisor: Partner with the sales team to educate customers on Okta’s identity solutions and demonstrate their value.
• Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.
• Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other Okta engineering teams.
• Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.
• Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position Okta.
• Support company events: Represent Okta at marketing events, including conferences, user groups, and trade shows.

What You’ll Bring

• Experience: 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.
• Technical Acumen:
• Deep understanding of identity protocols (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).
• Working knowledge of cloud platforms like AWS, Azure/Entra, and GCP.
• Experience with REST APIs and SDKs.
• Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).
• Understanding of identity-related cybersecurity topics (e.g., phishing, MFA bypass attacks, privilege escalation).
• Communication & Presentation Skills: The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.
• Strategic Mindset: Proven skills in territory management, including building pipelines and collaborating with sales counterparts.
• Travel: Ability to travel up to 25% of the time.
• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

Bonus Skills (Ideally, You Have)

• Experience in the IAM space
• Hands-on knowledge of Identity Governance (IGA) or Privileged Access Management (PAM) solutions.
• Practical experience with Windows Server, Active Directory, LDAP, and Federation services.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-Remote

#LI-CM

P10563_3394826

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to educate Okta’s Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineering, the Solutions Engineer is a functional business consultant who will partner with Commercial Account Executives and have  a passion for technology and the advanced ability to develop, position, and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues, and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners, and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and reusable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events, including executive briefings, conferences, user groups, and trade shows

What you’ll bring to the role

• 5+ years of pre-sales engineering experience, selling SaaS products.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confidently dispensing knowledge to highly-skilled and experienced audiences.
• Typically, 25% travel.
• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Experience in the IAM space

#LI-Remote

#LI-CM

P9259_3401412

The Auth0 Sales Team

Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Auth0 RSM, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

Learn more about our global Sales team.

The Enterprise Auth0 Regional Sales Manager Opportunity

The successful Auth0 Regional Sales Manager is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.

As an Auth0 AE, you will be focused on providing value to Application Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Auth0 customers.

This role requires travel to our San Francisco, CA or Chicago, IL office for in-person onboarding during the first week of employment. If reasonable accommodation is needed to participate in the job application, interview process, or onboarding please use this Form to request an accommodation.

What you’ll be doing: 

• Build a plan to guide your long-term approach to net new logo pipeline generation 
• Consistently deliver revenue targets to support YoY territory growth 
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers  
• Scope, negotiate and close agreements to meet and exceed revenue quota targets 
• Holistically embrace, access, and utilize partners to identify and open opportunities 
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc) 
• Travel as necessary to build and cultivate customer and prospect relationships

What you’ll bring to the role:

• 10+ years success in growing revenue for sophisticated, complex enterprise SaaS products
• Ability to evangelize, educate and create demand within the CTO organization, with a strong track record of pitching and closing to Product, Engineering, and Architecture decision makers
• Deep technical discovery skills that resonate with the developer community 
• Strong technical acumen with proven ability to connect a technical sale to a companies’ business outcomes
• Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
• Confident and self driven with the humility required to successfully work in teams
• Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)

#LI-Remote 
P2363_3385020

How You'll Make an Impact:

As a Sales Manager, you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

What You Bring to the Team:

• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise.

What Sets You Up for Success:

• A self-motivated, results-oriented mindset with a passion for business development.
• Experience in selling technology solutions into the hotel or hospitality industry
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.

Bonus Skills to Stand Out:

• Good knowledge of PMS technology
• Operational experience in the hospitality or lodging industry
• Multilingual capabilities

#LI-AC2

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our Enterprise accounts in the Carolinas Region reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

LOCATION

Seeking candidates in North Carolina, preferably in Raleigh or Charlotte. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Joining Collibra’s Product Security team 

You will lead the high-stakes mission of embedding security into the very DNA of our software development lifecycle. As the primary champion of our security guardrails, you will manage a high-performing engineering team dedicated to protecting our LLM-powered features, Kubernetes clusters, and the brand trust our customers rely on. You are the shield ensuring our platforms are Secure-by-Design and Secure-by-Default at an enterprise scale.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

The Director, Product Security at Collibra is responsible for

• Strategic Engineering Partnership: Partnering with engineering teams to embed automated security testing (SAST/DAST/SCA) into CI/CD workflows and IDEs, driving adoption through developer-friendly tooling and technical guardrails for multi-cloud and Kubernetes environments.
• AI & Supply Chain Security: Implementing NIST and OWASP AI frameworks for LLM features and managing the Software Bill of Materials (SBOM) to mitigate supply chain risks.
• Vulnerability & Threat Management: Leading the PSIRT process, managing the Bug Bounty program, and overseeing offensive security efforts like penetration testing and threat modeling.
• Compliance & Audit Readiness: Owning product security controls for FedRAMP, SOC 2, and ISO 27001, ensuring all practices are audit-ready and operationalized.
• Leadership & Enablement: Managing the product security budget, vendor relationships, and developer enablement programs to ensure security is a shared responsibility across the org.
• Give-and-Get: You mentor your team to technical excellence while holding them accountable for the security of every line of code.
• Embrace Ambiguity: You translate complex technical threats into clear business risks for executive stakeholders.
• Lead with Confidence: You represent Collibra’s security posture to the world’s most demanding enterprise customers.

You have

• Technical Leadership Experience: 7 to 10 years of proven track record of managing high-performing security engineering teams in a modern SaaS or microservices environment.
• Deep SDLC Expertise: Extensive experience integrating security tooling (SAST, DAST, SCA) directly into automated developer workflows and container orchestration.
• AI/ML Security Knowledge: Hands-on experience with emerging AI security standards and securing data pipelines for LLM-powered features.
• Incident Response Mastery: Experience leading a PSIRT, managing public disclosures (CVEs/VEX), and triaging production vulnerabilities under pressure.
• Regulatory Fluency: Strong understanding of security control requirements for FedRAMP, STIG, and other major enterprise compliance frameworks.
• A bachelor’s degree or equivalent related working experience is required.
• This position is not eligible for visa sponsorship.
• Because this role supports the US government, it is required that this candidate be a US citizen who resides on US soil.

You are

• A Technical Diplomat: Able to explain complex security vulnerabilities to non-technical stakeholders in Legal, Sales, and Marketing without losing them.
• Risk-Oriented: Skilled at translating technical debt into business risk to help executives make informed investment decisions.
• A High-Trust Mentor: Dedicated to building a culture of technical excellence and career growth within a hybrid team environment.
• Composed Under Fire: Calm and structured when leading responses to production threats or high-stakes customer escalations.
• Architecturally Minded: Someone who looks at software through the eyes of an attacker to identify flaws before they reach production.

Measures of success

• Within your first month, you will audit our current SDLC security integrations, establish relationships with key Engineering leads, and take over the management of our existing security tooling portfolio.
• Within your third month, you will have optimized our vulnerability ingestion pipelines, refreshed the threat modeling program for our AI initiatives, and established a clear roadmap for security of AI powered development, as well as our AI native and Agentic AI empowered products.
• Within your sixth month, you will drive a measurable reduction in manual security toil through automation, successfully lead a major penetration testing cycle, and serve as the primary security signatory for all production releases.

Compensation for this role

The standard base salary range for this position is $204,000.00 - $255,000.00 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

About Trase: 

Trase is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform is an agentic operating system designed for regulated environments. It enables reliable execution of long-lived workflows, secure deployment across environments, and full auditability of system behavior. Trase has raised $10.5M in pre-seed funding from Red Cell Partners, with active deployments across healthcare, national security, and enterprise environments.

About the Role:

Operating as the primary liaison at Duke Health, located in the Research Triangle, you will lead the partnership lifecycle for our anchor health system customer—one of the most sophisticated academic medical center ecosystems in the country—acting as a consultative advisor to clinical, operational, and executive stakeholders to drive AI transformation from initial discovery through scaled implementation.

In this role, you will work at the intersection of product strategy, enterprise deployment, and go-to-market for agentic AI systems, ensuring Trase delivers measurable operational value to our most critical healthcare partner. You will be instrumental in bringing operational AI from concept to production – defining high-value use cases, shaping technical and deal strategy, and scaling across service lines at a major Academic Medical Center, their regional affiliate network, and beyond.

Core Responsibilities:

Agentic AI Strategy & Roadmap

• Engage C-suite, clinical, operational, IT, academic, and research leaders to understand the strategic priorities across service lines (i.e., cardiology, primary care, oncology, DCRI, etc.) and map them to Trase agentic capabilities.
• Surface competitive intelligence of healthcare use cases gaining market traction to inform the joint Duke-Trase product roadmap and go-to-market strategy.
• Co-manage the quarterly Joint Steering Committee meeting and iterate on the charter as the partnership progressive to meet our collaborative objectives.

Use Case Discovery and Expansion

• Build the business cases and ROI frameworks that decision-makers need to select and prioritize Agentic use cases — clinical impact narratives (i.e., impact cards), financial models, and value stories grounded in real clinical data.
• Partner closely with Trase product and engineering, Trase technical program managers, and Duke clinical leads to translate partner needs and requirements into scoped engagements.
• Navigate legal, procurement, compliance, clinical, and IT governance processes across large, matrixed health system organizations. This involves leading multi-disciplinary reviews to ensure that all AI deployments adhere to institutional safety standards, data privacy regulations, and complex hospital system bylaws.
• Proactively identify potential regulatory bottlenecks and collaborate with internal Trase legal and security teams to streamline the path from initial technical discovery to formal procurement and clinical activation.
• Structure and negotiate Statements of Work (SOWs) within the established enterprise agreement, ensuring each engagement is clearly defined with measurable milestones and success criteria.
• Collaborate with internal Trase legal, security, and product teams to ensure all negotiated SOWs align with the partner's clinical & IT requirements.
• Proactively manage the lifecycle of these agreements, from initial technical discovery and scoping to formal procurement and eventual clinical activation and expansion to additional service lines.

Change Management & Institutional Advocacy

• Act as an exceptional relationship builder, navigating internal dynamics and organizational inertia to drive the cultural adoption of AI workflows.
• Create and own the change management playbook: identify clinical champions, manage stakeholder expectations, and resolve implementation friction to ensure long-term success.
• Advise on technical governance, AI safety, and auditability to help partners navigate highly regulated healthcare environments.
• Develop and maintain a living account plan for the account — mapping stakeholder relationships, expansion opportunities, adoption health, and 12–24 month priorities. This document is an institutional asset, not a sales artifact.
• Own escalations and navigate setbacks without losing the relationship. When implementations are bumpy or expectations aren't met, you're the person who holds the trust together and drives resolution.
• Coordinate collaborative research and marketing efforts (i.e., case studies, blog posts, publications, etc.), aligning stakeholders and advancing descriptive and research publications under a joint governance framework.
• Contribute to building Trase’s commercial playbook for health systems — you’re among the early team members, and your learnings will shape how we scale.
• Represent Trase at regional and national healthcare conferences and industry events.

You’re a Strong Fit If You:

• Have 5-10 years of experience in healthcare consulting, management consulting, clinical operations, health system operations, medical informatics, or a high-performance commercial role at a health-tech company.
• Have foundational knowledge of clinical and administrative healthcare workflows; can translate complex clinical needs into technical AI capabilities, ensuring Trase delivers measurable operational value.
• Have deep knowledge of healthcare data; have experience managing complex technical integrations, including EHR systems (Epic and Cerner), Outlook, fax servers, telephone systems, HIEs, and remote monitoring devices.
• Have sold into — or worked directly inside — academic medical centers or large integrated delivery networks.
• Have previously managed complex, multi-stakeholder deals, keeping them moving without losing the relationship.
• Are a builder: you don’t wait for the playbook, you write it.
• Lead with curiosity and genuine empathy. You're interested in how our partner actually works — their culture, their pressures, their internal politics — not just what you can sell to them.
• Have built relationships that outlasted deals. You can point to customers where you were trusted not because you closed something, but because you showed up consistently and made the customer more successful.
• Are a steward, not just a hunter. You understand that at a marquee customer, protecting the relationship is as important as growing it — and you know the difference between the two.
• Are based in or willing to relocate to the Durham, NC area — this role requires consistent on-site presence with your accounts.
• Direct clinical experience (e.g., practicing physician, nurse, or clinical researcher) is a strong plus.

Why Trase:

• Deployed platform, real results. We’re not selling a roadmap. Trase is in production at leading health systems with demonstrated clinical and financial outcomes.
• A defining market moment. Every health system leadership team in the country is trying to figure out how to operationalize AI at scale. You’ll be in those rooms, shaping those decisions.
• True ownership. You’re not the tenth AE. You’re building the territory, the relationships, and the commercial motion. The people who join now define how this company operates for years.
• Backed by serious investors. Trase is a Red Cell Partners company with institutional backing and a leadership team that has operated at scale — including our President, formerly VP of AI/ML at AWS.

​​​Compensation: Base salary of ​​$175,000-$200,000 plus bonus. This represents the typical salary range for this position based on experience, skills, and other factors. 

About the Role:

Operating as the primary liaison at Duke Health, located in the Research Triangle, you will lead the partnership lifecycle for our anchor health system customer—one of the most sophisticated academic medical center ecosystems in the country—acting as a consultative advisor to clinical, operational, and executive stakeholders to drive AI transformation from initial discovery through scaled implementation.

In this role, you will work at the intersection of product strategy, enterprise deployment, and go-to-market for agentic AI systems, ensuring Trase delivers measurable operational value to our most critical healthcare partner. You will be instrumental in bringing operational AI from concept to production – defining high-value use cases, shaping technical and deal strategy, and scaling across service lines at a major Academic Medical Center, their regional affiliate network, and beyond.

Core Responsibilities:

Agentic AI Strategy & Roadmap

• Engage C-suite, clinical, operational, IT, academic, and research leaders to understand the strategic priorities across service lines (i.e., cardiology, primary care, oncology, DCRI, etc.) and map them to Trase agentic capabilities.
• Surface competitive intelligence of healthcare use cases gaining market traction to inform the joint Duke-Trase product roadmap and go-to-market strategy.
• Co-manage the quarterly Joint Steering Committee meeting and iterate on the charter as the partnership progressive to meet our collaborative objectives.

Use Case Discovery and Expansion

• Build the business cases and ROI frameworks that decision-makers need to select and prioritize Agentic use cases — clinical impact narratives (i.e., impact cards), financial models, and value stories grounded in real clinical data.
• Partner closely with Trase product and engineering, Trase technical program managers, and Duke clinical leads to translate partner needs and requirements into scoped engagements.
• Navigate legal, procurement, compliance, clinical, and IT governance processes across large, matrixed health system organizations. This involves leading multi-disciplinary reviews to ensure that all AI deployments adhere to institutional safety standards, data privacy regulations, and complex hospital system bylaws.
• Proactively identify potential regulatory bottlenecks and collaborate with internal Trase legal and security teams to streamline the path from initial technical discovery to formal procurement and clinical activation.
• Structure and negotiate Statements of Work (SOWs) within the established enterprise agreement, ensuring each engagement is clearly defined with measurable milestones and success criteria.
• Collaborate with internal Trase legal, security, and product teams to ensure all negotiated SOWs align with the partner's clinical & IT requirements.
• Proactively manage the lifecycle of these agreements, from initial technical discovery and scoping to formal procurement and eventual clinical activation and expansion to additional service lines.

Change Management & Institutional Advocacy

• Act as an exceptional relationship builder, navigating internal dynamics and organizational inertia to drive the cultural adoption of AI workflows.
• Create and own the change management playbook: identify clinical champions, manage stakeholder expectations, and resolve implementation friction to ensure long-term success.
• Advise on technical governance, AI safety, and auditability to help partners navigate highly regulated healthcare environments.
• Develop and maintain a living account plan for the account — mapping stakeholder relationships, expansion opportunities, adoption health, and 12–24 month priorities. This document is an institutional asset, not a sales artifact.
• Own escalations and navigate setbacks without losing the relationship. When implementations are bumpy or expectations aren't met, you're the person who holds the trust together and drives resolution.
• Coordinate collaborative research and marketing efforts (i.e., case studies, blog posts, publications, etc.), aligning stakeholders and advancing descriptive and research publications under a joint governance framework.
• Contribute to building Trase’s commercial playbook for health systems — you’re among the early team members, and your learnings will shape how we scale.
• Represent Trase at regional and national healthcare conferences and industry events.

You’re a Strong Fit If You:

• Have 5-10 years of experience in healthcare consulting, management consulting, clinical operations, health system operations, medical informatics, or a high-performance commercial role at a health-tech company.
• Have foundational knowledge of clinical and administrative healthcare workflows; can translate complex clinical needs into technical AI capabilities, ensuring Trase delivers measurable operational value.
• Have deep knowledge of healthcare data; have experience managing complex technical integrations, including EHR systems (Epic and Cerner), Outlook, fax servers, telephone systems, HIEs, and remote monitoring devices.
• Have sold into — or worked directly inside — academic medical centers or large integrated delivery networks.
• Have previously managed complex, multi-stakeholder deals, keeping them moving without losing the relationship.
• Are a builder: you don’t wait for the playbook, you write it.
• Lead with curiosity and genuine empathy. You're interested in how our partner actually works — their culture, their pressures, their internal politics — not just what you can sell to them.
• Have built relationships that outlasted deals. You can point to customers where you were trusted not because you closed something, but because you showed up consistently and made the customer more successful.
• Are a steward, not just a hunter. You understand that at a marquee customer, protecting the relationship is as important as growing it — and you know the difference between the two.
• Are based in or willing to relocate to the Durham, NC area — this role requires consistent on-site presence with your accounts.
• Direct clinical experience (e.g., practicing physician, nurse, or clinical researcher) is a strong plus.

Why Trase:

• Deployed platform, real results. We’re not selling a roadmap. Trase is in production at leading health systems with demonstrated clinical and financial outcomes.
• A defining market moment. Every health system leadership team in the country is trying to figure out how to operationalize AI at scale. You’ll be in those rooms, shaping those decisions.
• True ownership. You’re not the tenth AE. You’re building the territory, the relationships, and the commercial motion. The people who join now define how this company operates for years.
• Backed by serious investors. Trase is a Red Cell Partners company with institutional backing and a leadership team that has operated at scale — including our President, formerly VP of AI/ML at AWS.

​​​Compensation: Base salary of ​​$175,000-$200,000 plus bonus. This represents the typical salary range for this position based on experience, skills, and other factors. 

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
• Good networking skills with VPC, Security Groups, and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

#LI-REMOTE #LI-IK1

LEGAL

What We Do

Epic's multi-specialized team of attorneys and legal professionals partner across our organization to provide legal solutions as well as consult and inform on the products we build and games we develop.

What You'll Do

We are looking for a Senior Privacy Counsel to join our in-house team and provide world-class legal support to a dynamic, ambitious, and fast-paced video game and software development company. This role will collaborate extensively with cross-functional stakeholders to help pragmatically navigate novel and complex privacy challenges in innovative ways.

In this role, you will

• Provide strategic advice to practically manage global privacy risks while supporting business needs and innovation.
• Collaborate cross-functionally with product, engineering, compliance, support, leadership, and other stakeholders to review new or changing features and uses of information to facilitate compliance with privacy laws and company policies.
• Develop and maintain policies, procedures, and guidelines to communicate compliance requirements and best practices to internal and external stakeholders.
• Draft a wide range of legal agreements relating to privacy and security.
• Conduct privacy assessments, respond to data subject rights requests, and support privacy-related regulatory interactions.
• Manage and interact with external counsel, including as primary contact for multiple regional relationships and matters.
• Monitor and proactively communicate relevant legislative developments to appropriate stakeholders.
• Perform due diligence and supporting integration matters in connection with corporate transactions.
• Evangelize a privacy-focused culture throughout the company.

What we're looking for

• Licensed in good standing to practice law.
• 7+ years’ relevant experience (2+ years’ in-house experience at a fast-paced technology company preferred).
• Hands-on experience providing practical and actionable legal guidance regarding risks and obligations under global privacy frameworks (e.g., GDPR, ePrivacy Directive, US federal and state privacy laws, APAC data protection laws).
• Familiarity with emerging privacy issues, including AI/ML, biometrics, and automated decision-making.
• Highly internally-motivated, with a strong capability to effectively drive and manage competing priorities as an individual contributor and/or as part of cross-functional initiatives.
• Demonstrated track record of designing, operationalizing, and efficiently scaling privacy-by-design tools and processes (e.g., privacy record keeping, risk assessments, data subject rights processes) across multiple jurisdictions and business units.
• Passionate, detail-oriented, and a critical-thinking mindset that enables you to thrive when faced with complex and novel legal issues requiring creative solutions.
• Confidence being a primary point of contact for a wide range of internal stakeholders on a variety of substantive data protection issues.
• Experience managing engagement with privacy regulators, including inquiries, audits, filings, and potential enforcement proceedings.
• Strong written and verbal communications skills and sound judgment in ambiguous circumstances. You are intellectually curious, adaptable, and highly practical, with the ability to navigate complex legal issues and develop creative solutions in dynamic environments.

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

FEQ427R189

Reporting to the Sr. Manager of Field Engineering for Healthcare & Life Science, the Solutions Architect Manager will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects.  The team will specialize in some of the highest growing and high potential provider accounts across the United States. Your responsibilities will encompass team leadership, strategic collaboration with the sales organization, and ensuring the successful implementation of cutting-edge solutions in enterprise software, big data/analytics, data engineering, and data science.

The impact you will have:

Team Leadership:

• Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation.
• Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts.
• Develop and execute strategies for the continuous growth and success of the Solutions Architect team.
• Foster a culture of continuous learning and development within the team.

Sales Excellence / Databricks Consumption:

• Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency.
• Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle.
• Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans.
• Play a crucial role in achieving the technical win in complex sales cycles.

Customer Success and Value Delivery:

• Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses.
• Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.

What we look for:

• Experience: 7+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.
• Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.
• Team Development: Track record of mentoring, training, and helping peers grow
• Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.
• Leadership: Open to high performing Sr. ICs who have shown leadership traits in their current role 
• Nice to Have: Experience in the healthcare industry especially with health plans and health insurers

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

At Target RWE, our mission is driven by a deep commitment to people—whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science. 

We are seeking a talented Data Engineer to join our Technology team. In this role, you will develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes. You will collaborate closely with stakeholders to analyze user needs, design custom software solutions, and implement scalable, reliable applications that support Target RWE’s mission.

What You’ll Do

• Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
• Analyze business requirements and work with stakeholders to translate needs into technical solutions.
• Write clean, maintainable code primarily in Python, with a strong emphasis on SQL for data manipulation and transformation.
• Support and optimize cloud-based data infrastructure (AWS preferred).
• Develop and modify databases to support internal applications.
• Collaborate with operations and product teams to support deployment, testing, and maintenance.
• Help troubleshoot production issues and contribute to ongoing improvement efforts.
• Stay up to date on relevant tools, technologies, and best practices.

What You’ll Bring

• 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
• Strong proficiency in SQL and Python.
• Experience with cloud platforms (AWS, GCP, or Azure) and working in cloud-native environments.
• Familiarity with version control and CI/CD tools (e.g., GitLab, GitHub Actions).
• Strong problem-solving and communication skills.
• Ability to work independently and manage tasks with moderate supervision.

Nice to Have 

• Experience working with or developing machine learning pipelines or models.
• Exposure to Generative AI or LLM frameworks (e.g., Langchain, LangGraph).
• Knowledge of distributed computing concepts or tools (e.g., Spark, Dask).
• Background in healthcare, life sciences, or clinical data.
• Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

Responsibilities

We are seeking a visionary Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision.

This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. You will act as an extension of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation.

This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration.

First 90 Days

Learn & Align (Days 0-30)

• Deep immersion into Workato's AI vision, product roadmap, and GTM strategy

• Shadow at least 10 executive customer conversations

• Develop initial point of view for engagement with CIO/CTO/CDO personas

Engage & Formulate (Days 30-60)

• Lead first strategic engagements with enterprise accounts

• Co-develop executive playbooks with Sales and Product teams

• Establish feedback loops with Product and Engineering teams

Influence & Scale (Days 60-90)

• Cultivate trusted relationships with C-level executives in 5+ strategic accounts

• Co-create first AI-driven integration use cases with customers

• Establish thought leadership presence through content and speaking opportunities

Technical Trust & Executive Relationships

• Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges

• Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience

• Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale

• Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi

• Influence enterprise architecture decisions and multi-year technology strategies at the executive level

AI, Agentic Automation & Enterprise MCP Strategy

• Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem

• Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks

• Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance

• Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes

• Position Workato as the integration and orchestration backbone for enterprise AI transformation

Domain Expertise & Thought Leadership

• Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation

• Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation

• Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events

• Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos

• Shape industry narratives and best practices that establish Workato as the category leader

Deal Acceleration & Commercial Impact

• Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building

• Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives

• Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics

• Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions

• Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities

Strategic Advisory & Technical Leadership

• Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise

• Guide prospects and customers through Enterprise Orchestration vision and roadmap development

• Develop prioritization frameworks for integration, automation, and AI use cases

• Lead technology evaluation and vendor selection processes with enterprise customers

• Design governance, scalability, and enterprise operating models for automation initiatives

Product Influence & Market Intelligence

• Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input

• Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations

• Develop and refine competitive positioning, objection handling, and differentiation strategies

• Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success

• Influence industry analysts and thought leaders to strengthen Workato's market position

Internal Enablement & Team Development

• Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends

• Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts

• Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills

• Create scalable technical enablement content and programs that amplify your expertise across the field organization

• Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)

• 20+ years of technology transformation experience, including integration, middleware, or API management platforms

• 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role

• Demonstrated experience advising C-level executives on technology strategy and enterprise transformation

• Strong understanding of enterprise security, governance, and operating models

• Proven track record of driving platform expansion and value realization in enterprise accounts

• Excellent executive communication skills, including board-level presentations and strategic documentation

• Ability to operate independently in complex, ambiguous environments and take ownership of outcomes

• Travel to client sites up to 50%, with flexibility based on regional needs

Soft Skills / Personal Characteristics

• Master's degree in Computer Science, Software Engineering, Business, or related field

• Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle

• Experience with cloud platforms: AWS, Azure, and GCP

• Hands-on experience with AI/ML platforms and agentic automation frameworks

• Experience in a high-growth startup or scale-up environment

• Established personal brand and thought leadership presence in the integration/automation space

Measures of Success

Long-term success for this leader will be measured by their ability to:

• Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises

• Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration

• Create a robust pipeline of seven-figure opportunities tied to transformation initiatives

• Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration

• Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility.

The estimated pay range for this role is between  $240,000 - $280,000 + Bonus, but candidates outside of this band are encouraged to apply.

Job Req ID: 2645

FEQ327R7

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations.

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• Passion for mentoring/developing others and experience leading small teams through post-sale software implementation
• Ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 3+ years of experience with hands-on software development or technical consulting
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• This position is not eligible for visa sponsorship
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

Compensation for this role

The standard base salary range for this position is 152,000 - 190,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

About the Job
At BuildOps, we’re building a groundbreaking software solution designed to empower today’s commercial contractors. From service management to project execution, we’re reimagining how our customers operate. Our team thrives on ambition, innovation, and collaboration—qualities we look for in every new hire.

As a Senior Product Manager, Project Management, you will build an industry-leading Project Management solution for the commercial subcontracting industry that spans field workflows, labor planning and forecasting, collaboration, financials, and AI-powered experiences. You’ll partner closely with our customers to deeply understand their people, organizational structures, processes, and what they need from their operations platform—then translate that into solutions that drive measurable outcomes for both our customers and the business. You’ll work cross-functionally with Engineering, Design, Sales, Customer Success, and leadership, and you’ll be accountable for customer-driven KPIs and clear business impact.

What You’ll Do

• Own the product vision and roadmap for the Project Management domain, driving strategy and execution with a cross-functional squad of engineers, designers, QA, and data partners.
• Engage directly with customers of varying sizes and segments to uncover needs, validate solutions, and ensure we’re solving real project-execution problems.
• Design workflows that help contractors run stronger projects by streamlining field and office collaboration, preventing schedule slippage, forecasting labor demand, and providing accurate, real-time financial visibility.
• Leverage AI and ML to challenge traditional approaches, exploring and shipping innovative experiences that materially improve speed, accuracy, and decision-making for project teams.
• Align the roadmap with company objectives by working closely with other Product Managers, Customer Success, Sales, and Implementation to prioritize opportunities and trade-offs.
• Lead go-to-market and change management for your domain: communicate priorities and feature launches across the company, and partner with Customer Success to drive successful rollouts and adoption.
• Run effective beta programs with early adopters, capturing feedback to refine experiences before broader release.
• Own clear customer and business outcomes, defining and tracking KPIs that improve platform value (e.g., adoption, NPS, efficiency gains) and support revenue and retention goals.

What We Look For

• 7+ years of experience in the technology industry, with 5+ years in Product Management for B2B SaaS;
  
  
• or: 3+ years in a contractor or construction firm followed by 3+ years building B2B software as a Product Manager.
• Experience building end-to-end product experiences, including prototyping and solution development with AI coding assistants.
• Strong familiarity with contractor / construction project workflows (labor planning, schedules, change orders, cost tracking, collaboration) and how they show up in software.
• Mission-driven mindset, motivated by complex, real-world challenges faced by commercial subcontractors.
• Experience working in a technical environment, with basic SQL skills and proficiency in analytics tools to inform decisions.
• Strong understanding of agile development methodologies and a track record of working effectively with engineering and design in an agile environment.
• Excellent communication and collaboration skills, with experience partnering closely with cross-functional teams (e.g., Sales, CS, Implementation, PS).
• Strong analytical skills and the ability to use data—both quantitative and qualitative—to shape product strategy and day-to-day prioritization.

Bonus

• Direct experience in specialty contractor operations (mechanical, electrical, plumbing, HVAC, or similar) or adjacent construction domains.
• Experience working on 2D / BIM solutions or construction project planning tools.

Who You Are

• Someone with a genuine passion for construction tech and the customers we serve.
• A strategic thinker who thrives in a high-growth startup environment.
• Comfortable navigating ambiguity and breaking down complex, messy problem spaces into clear, actionable work.
• A self-starter who takes ownership, follows through, and delivers results without needing heavy direction.
• Collaborative, curious, and eager to learn from customers and teammates across disciplines.
• A team player with integrity, grit, and a strong work ethic, who raises the bar for those around them.

Compensation

• Raleigh: $133,000 - $166,000 base + annual bonus opportunity 
• LA/SF: $139,000 - $174,000 base + annual bonus opportunity 
• Toronto: 120,000 - 150,000 CAD base + annual bonus opportunity

TRUST AND SAFETY

What We Do

The Epic Trust and Safety team provides a safer experience for Epic users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms.

What You'll Do

As the Quality Operation Director on the Trust, Safety, and Support (TSS) team, you will lead a quality assurance function responsible for auditing moderation enforcement decisions, player support workflows and machine learning model performance. You’ll oversee a small, highly specialized team focused on identifying quality gaps, driving systemic improvements, and ensuring that the trust and safety and player support functions meet Epic’s quality standards. This role bridges technical, operational, and strategic domains to ensure exceptional player experiences.

In this role, you will

• Lead the end-to-end development and execution of scalable QA frameworks, methodologies, and processes, including measurable quality KPIs across human and automated systems to ensure accuracy, fairness, and efficiency of moderation decisions and player support performance
• Identify gaps and opportunities in moderation and player support workflows, recommending improvements through automation, training enhancements, and new processes. Analyze QA data to generate actionable insights that improve player support and moderation outcomes, agent performance, and overall operational efficiency
• Partner cross-functionally with knowledge management, operations, data science, policy, and product to create robust calibration processes, ensuring alignment between human moderators, player support agents, machine learning models, and Epic’s policies. Partner with vendor management to ensure external vendors adhere to Epic’s quality standards and to drive continuous improvement
• Audit outputs of human moderators, player support agents and ML classifiers for fairness, accuracy, and unintended bias. Provide actionable feedback to knowledge and training, operations, policy and ML teams
• Investigate quality issues, conduct root cause analysis, and implement corrective actions to mitigate risks and prevent recurrence. Work closely with the legal and compliance teams to ensure the Trust, Safety and Support teams are meeting regulatory requirements
• Report on quality KPIs and trends to senior leadership; flag emerging risks and propose mitigation strategies
• Lead and develop a small high-performing team, fostering a culture of operational excellence, accountability, and innovation in support of Risk and Response initiatives

What we're looking for

• 7+ years in trust & safety or support quality assurance, risk operations or a related field within a technology or gaming company
• 5+ years in a leadership role with experience managing quality, audit, or oversight teams, and building high performing quality programs
• Experience auditing machine learning models, human moderation decision and support agent performance
• Strong background working with classifier evaluation concepts (e.g., precision, recall, confusion matrix) and content moderation tooling
• Proven experience working with and evaluating vendor performance in global content moderation or support operations
• Ability to distill complex data into clear narratives for cross-functional stakeholders
• Experience with data visualization tools such as Tableau, and comfort working with large datasets
• Strong verbal and written communication skills, and comfort working on sensitive content types (e.g., hate speech, violence, CSAM)
• Familiarity with regulatory frameworks (e.g., DSA, OSA, AADC) and legal considerations tied to regulatory enforcement
• Demonstrated ability to work cross-functionally and drive alignment across global teams

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal.

In this role, you will

• Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML)
• Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment
• Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals
• Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem
• Drive alignment around approach and outcomes with Trust & Safety, Product, Engineering, Legal, and Policy partners across the team and organization, managing expectations and trade-offs
• Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements
• Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done

What we're looking for

• 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes
• Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus
• Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight
• Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making
• Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts
• Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals
• Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org
• Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action
• Evidence of mentoring others on the team/product org (coaching, reviews, raising standards)
• Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement)

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

Role Description

• As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Implementation Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

#LI-KC1

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

Head of Statistics

Overview

NoviSci is a data science organization with a dual mission: 1) developing best-in-class software to support the generation of RWE and 2) executing high-impact, tech-enabled scientific consulting and research.

We are seeking a Head of Statistics who will own the statistical functional area- serving as the center of excellence for statistical rigor, methodology, methods standardization, and professional development across the organization. This is a hands-on leadership role for a methodologist who wants to build: building a team, building methods, and building the statistical backbone of real-world evidence software.

You will work shoulder-to-shoulder with the Head of Science, Product, Engineering, and Statistical Software Development, translating advanced causal inference and epidemiologic methods into robust software requirements, clear APIs, and scalable analytical tools. If you enjoy making hard statistical problems accessible, and care deeply about scientific credibility, this role is for you.

Statistical leadership & strategy

• In collaboration with the Head of Statistical Software Development, define and execute the statistical methods roadmap across products and services
• Serve as the functional center of excellence for statistical rigor, methods standardization, code reproducibility, and adoption of advanced causal inference and epidemiologic methods for real-world data
• Lead the development and implementation of causal inference, advanced epidemiologic, and statistical methods for real-world evidence generation, ensuring scientific rigor, transparency, and reproducibility
• Guide the design of longitudinal and observational study workflows, including uncertainty quantification and sensitivity analyses
• Represent NoviSci’s statistical perspective with external partners, clients, collaborators, and at scientific venues as a subject-matter expert

Product partnership (requirements, architecture, APIs)

• Collaborate with Product, Statistical Software Development, and Engineering to:
• Translate statistical and methodological needs into product requirements and roadmaps
• Advise on high-level system and architecture decisions
• Co-design API specifications (inputs/outputs, parameterization, defaults, error handling, diagnostics) and review PRDs/tech specs for statistical fidelity
• Provide reference implementations and simulation harnesses used as ground truth for verification; help design CI checks and validation datasets
• Establish documentation standards for methods notes, assumptions, and user-facing guidance

High-value scientific delivery

• Serve as a senior statistical contributor on select research pods, providing high-level expertise, validating analyses, and pioneering new methods
• Architect statistical designs for causal estimation of complex interventions under confounding, missingness, and dependent censoring
• Develop and review statistical analysis plans (SAPs), code, figures, and outputs for validity, reproducibility, and regulatory readiness
• Support quality and compliance processes in partnership with the Head of Operations, ensuring analysis validation, audit trails, and reproducibility standards are met

Thought partnership for clients

• Act as a senior statistical advisor to client teams (HEOR, Med Affairs, Epi); help mature their internal evidence pipelines and governance
• Evaluate statistical methodology choices for complex study designs, including distributed and federated analyses
• Guide clients on methods choices for regulatory submissions and HTA assessments

Team building & mentorship

• Serve as functional manager for all statisticians: hire, mentor, train, and conduct performance reviews
• Develop and enforce standards and SOPs for statistical analysis, code reproducibility, and methods adoption across the statistics group
• Foster a rigorous, supportive, and learning-oriented culture within the statistics functional group
• Uplevel engineers and PMs on statistical, advanced epidemiologic methods, including causal inference; uplevel statisticians on software craft (versioning, testing, CI/CD, profiling)

Required background

• PhD (or equivalent) in Biostatistics, Statistics, Epidemiology, or a related quantitative field
• 4+ years of post-doctoral experience spanning causal inference, advanced epidemiologic methods, statistical software development, and real-world data (claims, EHR, registries)
• Demonstrated track record of leading complex observational studies through publication and/or regulatory use
• Deep, hands-on expertise in causal inference and advanced epidemiologic methods for real-world data, including:
• Target trial emulation
• IP weighted estimators for confounding, missingness, and censoring
• Clone-censor-weighted estimation of dynamic treatment regimens
• Marginal structural models (MSMs), IPTW, and IPCW
• Uncertainty quantification and sensitivity analysis
• Proven ability to translate statistical and methodological requirements into product requirements, architecture trade-offs, and API designs in close partnership with engineering
• Strong experience with R, including package development, testing, and performance profiling
• Experience collaborating closely with software engineers in a production or near-production environment
• Evidence of thought leadership (publications, invited talks, open-source contributions, or methods papers)

Nice-to-have background

• Experience designing statistical APIs or platforms used by external customers
• Familiarity with regulatory expectations for RWE (e.g., FDA, EMA guidance on real-world evidence)
• Experience with CMS/Medicaid data governance and multi-source linkage/tokenization
• Prior experience managing or mentoring senior statisticians or data scientists
• Experience working in a fast-paced, product-driven or startup environment
• Comfort with protocol/report generators and figure/table QA pipelines (e.g., Quarto/R Markdown)
• Fluency with AI/ML coding tools (e.g., GitHub Copilot, Cursor) and comfort incorporating them into statistical programming and reproducible research workflows

If you’re excited to advance the science of real-world evidence in an environment where statistical rigor directly shapes both client impact and software innovation, NoviSci is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences. 

You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking.

Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from.

In this role, you will

• Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery
• Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog
• Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment
• Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics
• Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures

What we're looking for

• 3-5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context
• Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking)
• Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems
• Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)
• Comfort working in a cloud-based ML environment
• Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation
• Experience with content understanding models (NLP, vision, or generative AI) used as ranking features
• Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives
• Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS
• Passion for video games and/or experience with gaming analytics

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification

FEQ127R13

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 10+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

#LI-BJ1

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement and support expertise. 

The Role:

As a Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning.

The work you’ll do:

Initiate 

• Conduct Business workshops to translate customers' strategic objectives into high-impact Celonis use cases
• Coordinate with Data Operations team from Celonis to connect our solution to the customer IT environment (data extractions)

Implement

• Lead the Celonis implementation project to ensure the optimal solution to tackle the defined use cases (Data modelling, Data transformations, Process analysis building, KPIs building)
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Adopt 

• Lead the value creation workshops and define measures to improve process inefficiencies
• Define the most relevant KPIs measuring the customer’s success
• Quantify the business and financial potential and present the findings to the management
• Automate tasks to drive value and improve the process conformance rate

Monitor and enable

• Manage customer expectations and project planning
• Demonstrate and train customers users (set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• 7+ years working experience in IT-Consulting, Solution/Data Consulting or Process Improvement Consulting, within Software Vendors, Consulting firms or System integrators
• Demonstrated ability to translate business requirements into technical solutions (Data models)
• You are knowledgeable of data related languages (SQL required, other programming languages such as Python are a plus...)
• A strong appetite for value driven approaches (KPIs definition, business case calculations, value realization approaches) and Data topics (Big Data, Data Mining, and Process Mining)
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a strong plus.
• Willing to develop a strong expertise on a solution through a continuous learning approach
• Strong consulting skills and enjoy interacting with various customers (Business workshops up to solution demonstrations)
• Excellent analytical skills, well-organized and you are known for being a quick learner
• Fluency in English
• Bachelors or Masters in: Technology Management, Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

Job Summary

The Regional Sales Manager is responsible for leading and executing sales strategies to drive incremental growth from independent agents through regular contacts and training. The RSM is responsible for the network of agents within the Mid-Atlantic territory (Tennessee, North Carolina), They will report to the Director of Business Development. 

This role involves working closely with agents, brokers and other distribution partners to expand market share, enhance client relationships, and ensure alignment with underwriting and profitability goals. The Regional Sales Manager will analyze market trends, identify new business opportunities, and collaborate cross-functionally with underwriting, claims, and marketing teams to deliver tailored insurance solutions, including workers comp, that meet the evolving needs of small to mid-size commercial clients. This role involves regular travel up to 60% of the time with some overnights required. This is an individual contributor role, you will not be managing people. 

Position Responsibilities

• Identify key independent agents that can utilize products offered by ISC to assist their customers.
• Train new agents and new agency employees on ISC products and processes.
• Meet with agents and their staff in their offices on a regular basis.
• Add additional agencies to your territory that can drive growth.
• Drive new and renewal production from your assigned agencies.
• Partner with marketing, sales, and product development teams to implement business development initiatives.
• Assist in the roll-out of new program programs.
• Maintain producer marketing database (Salesforce).
• Facilitate product webinars and website demonstrations.
• Participate in various industry trade shows designed to drive additional business.
• Travel up to 60% of the year.

Minimum Qualifications

• Bachelor’s Degree in Business, Marketing, Communications, or a related field required
• Minimum of 4+ years’ previous sales and/or marketing experience
• Demonstrated oral and written communication skills.
• Experience in the commercial insurance industry is a plus, but not required.
• Proficiency in Microsoft Outlook, Excel, and Word, and aptitude to navigate software easily
• Ability to travel up to 60% of the year.

This role also offers bonus pay. Your ISC Talent Acquisition representative will share more details about the bonus component should you advance in the interview process. #LI-remote #P&C #Insurance #remote 

As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

What You'll Own

You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:

• Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Client-Facing Services Delivery

• Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
• Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
• Proactively communicate status, risks, and decisions — updates go out without being asked.
• Build trusted relationships that make scope conversations easier, not harder.
• When scope creeps (and it will), you call it — with a path forward, not just a flag.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Operate as a peer, not a manager — lift standards through quality of work and direct feedback.

Innovation & AI

• AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
• Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
• Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
• If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Required Qualifications

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior or Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

Initiate 

• Conduct Business workshops to translate customers' strategic objectives into high-impact Celonis use cases
• Coordinate with Data Operations team from Celonis to connect our solution to the customer IT environment (data extractions)

Implement

• Lead the Celonis implementation project to ensure the optimal solution to tackle the defined use cases (Data modelling, Data transformations, Process analysis building, KPIs building)
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Adopt 

• Lead the value creation workshops and define measures to improve process inefficiencies
• Define the most relevant KPIs measuring the customer’s success
• Quantify the business and financial potential and present the findings to the management
• Automate tasks to drive value and improve the process conformance rate