The application window will be open until at least April 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

At GFiber, our Information Systems and Technology team plays a crucial role in enhancing employee productivity and efficiency across all departments. We are dedicated to delivering quality support while fostering a strong business partnership and ensuring seamless project deliverables. Together,  we focus on delivering innovative solutions that empower our colleagues and drive the organization forward.

Role Description

As a Senior IT Systems Engineer, you will architect and maintain the digital workspace our employees rely on daily. This role oversees the entire lifecycle of corporate applications, from end-to-end deployment and configuration to automated patching and long-term administration. You will manage our Google Workspace environment and support critical office technology, including multi-vendor networking, conferencing, and advanced printing solutions. While possessing deep expertise in software application engineering, you will maintain a robust foundation in full device management to ensure secure and seamless delivery across macOS, Windows, and ChromeOS platforms.

In this role, you'll:

• Manage the enrollment, security posture, and compliance of macOS, Windows, and ChromeOS devices using Microsoft Intune, Google Workspace, and Kandji/Iru to provide a stable platform for application delivery.
• Architect the end-to-end deployment, configuration, and proactive patching strategies for the corporate productivity suite. This includes leading the rollout of new enterprise solutions from initial environment setup through to ongoing maintenance and optimization.
• Deploy and provide advanced support for office technology, including LAN/Wi-Fi networking, Google Meet conferencing/AV systems, and enterprise printing hardware and software.
• Perform administration, strategy, and security hardening for Google Workspace, including advanced mobile device management for Android/iOS and Google Meet integrations.
• Utilize advanced scripting (Python, PowerShell, or GAM) to automate software packaging, agent rollouts (e.g., CrowdStrike, CatchPoint), and system-wide compliance remediation.
• Collaborate with cross-functional stakeholders and vendors to understand business needs and implement scalable software and hardware solutions that streamline corporate operations.

At a minimum we'd like you to have:

• Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent practical experience.
• 8 years of experience as a Systems Engineer in an Enterprise Corporate IT environment.
• 5 years of experience managing Google Workspace at an enterprise level, overseeing Application Lifecycle Management (packaging, deployment, patching), and supporting office networking (Wi-Fi, LAN).
• Experience managing macOS/Apple MDM tools (e.g., Kandji/Iru) and Microsoft Intune.
• Experience deploying applications on premise or software as a service (SaaS). 

It's preferred if you have:

• Professional Google Workspace, Apple, or Microsoft Endpoint related certifications.
• Experience configuring Okta or Entra ID for SAML federation, SSO, and automated user provisioning.
• Experience working with Python, PowerShell, and GCP Cloud CLI for advanced systems automation and API-driven integrations.
• Experience delivering complex technical projects within an Agile environment (e.g., Scrum).
• Ability to use written and verbal communication to explain complex architectural fixes and technical concepts to both technical and non-technical audiences.

The US base salary range for this full-time position is between $136,000 - $169,000 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

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

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

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.

#LI-Remote

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.

This is an exciting opportunity for a highly experienced, independent clinical biostatistician to advance adoption of Natera’s oncology portfolio of cutting-edge molecular diagnostic tests. As a Lead Biostatistician, you will independently lead the design, analysis, and reporting for multiple practice-changing oncology clinical trials. You will propose efficient, fit-for-purpose study designs with broad impact across the oncology portfolio.

The ideal candidate brings deep statistical expertise, strong scientific communication skills, and a proven track record of applying innovative methodologies to oncology clinical trial design in a fast-paced, cross-functional environment.

PRIMARY RESPONSIBILITIES: 

• Study Design and Statistical Strategy: Lead the statistical design and analytical planning for oncology clinical utility studies. Provide technical expertise in complex study design methodologies and data analyses. Propose and justify efficient study designs tailored to complex oncology use cases.

• Cross-Functional Collaboration: Serve as study statistician for multiple studies. Collaborate with clinical, medical, and translational partners to influence study planning, development, and execution. Identify risks, proactively communicate concerns, and champion solutions to interdisciplinary teams and executive leaders.

• Documentation and Reporting: Author and review high-quality statistical deliverables, including statistical analysis plans (SAPs), and reports (TLFs, CSRs, publications) for cross-functional collaborators and stakeholders. 

• Innovation and Improvement: Recommend and apply novel statistical approaches where appropriate. Mentor early career statisticians and support continuous improvement of departmental processes, tools, and templates to enhance team efficiency and analytical rigor.  Collaborate on manuscripts for publications.

QUALIFICATIONS: 

• Advanced degree in Biostatistics, Statistics, or a related quantitative field (Ph.D. preferred).

• 4+ years of experience in clinical trial biostatistics.

• Strong expertise in time-to-event analysis, including handling of censoring, competing risks, and advanced survival modeling approaches commonly used in oncology.

• Expertise with innovative study design (e.g. adaptive and biomarker-informed designs), power calculations, and endpoint evaluation.

• Working knowledge of ICH and GCP guidelines as well as CDISC standards (e.g. SDTM, ADaM).

• Proficient in R.

KNOWLEDGE, SKILLS, AND ABILITIES: 

• Expert-level ability to independently design clinical studies, grounded in deep domain knowledge and a nuanced understanding of complex, oncology-specific challenges.

• Experience with biomarker enabled clinical study designs, sample size determination, and endpoint evaluation.

• Demonstrated ability and enthusiasm for working in fast-paced, cross-functional environments with collaborators from diverse technical backgrounds.

• Ability to communicate complex statistical concepts clearly to both technical and non-technical audiences.

Preferred qualifications: 

• Working-knowledge of NGS-based diagnostics and ctDNA/MRD.
• Experience with non-inferiority studies.

This is an exciting opportunity for a highly experienced, independent clinical biostatistician to advance adoption of Natera’s oncology portfolio of cutting-edge molecular diagnostic tests. As a Lead Biostatistician, you will independently lead the design, analysis, and reporting for multiple practice-changing oncology clinical trials. You will propose efficient, fit-for-purpose study designs with broad impact across the oncology portfolio.

The ideal candidate brings deep statistical expertise, strong scientific communication skills, and a proven track record of applying innovative methodologies to oncology clinical trial design in a fast-paced, cross-functional environment.

PRIMARY RESPONSIBILITIES: 

• Study Design and Statistical Strategy: Lead the statistical design and analytical planning for oncology clinical utility studies. Provide technical expertise in complex study design methodologies and data analyses. Propose and justify efficient study designs tailored to complex oncology use cases.

• Cross-Functional Collaboration: Serve as study statistician for multiple studies. Collaborate with clinical, medical, and translational partners to influence study planning, development, and execution. Identify risks, proactively communicate concerns, and champion solutions to interdisciplinary teams and executive leaders.

• Documentation and Reporting: Author and review high-quality statistical deliverables, including statistical analysis plans (SAPs), and reports (TLFs, CSRs, publications) for cross-functional collaborators and stakeholders. 

• Innovation and Improvement: Recommend and apply novel statistical approaches where appropriate. Mentor early career statisticians and support continuous improvement of departmental processes, tools, and templates to enhance team efficiency and analytical rigor.  Collaborate on manuscripts for publications.

QUALIFICATIONS: 

• Advanced degree in Biostatistics, Statistics, or a related quantitative field (Ph.D. preferred).

• 4+ years of experience in clinical trial biostatistics.

• Strong expertise in time-to-event analysis, including handling of censoring, competing risks, and advanced survival modeling approaches commonly used in oncology.

• Expertise with innovative study design (e.g. adaptive and biomarker-informed designs), power calculations, and endpoint evaluation.

• Working knowledge of ICH and GCP guidelines as well as CDISC standards (e.g. SDTM, ADaM).

• Proficient in R.

KNOWLEDGE, SKILLS, AND ABILITIES: 

• Expert-level ability to independently design clinical studies, grounded in deep domain knowledge and a nuanced understanding of complex, oncology-specific challenges.

• Experience with biomarker enabled clinical study designs, sample size determination, and endpoint evaluation.

• Demonstrated ability and enthusiasm for working in fast-paced, cross-functional environments with collaborators from diverse technical backgrounds.

• Ability to communicate complex statistical concepts clearly to both technical and non-technical audiences.

Preferred qualifications: 

• Working-knowledge of NGS-based diagnostics and ctDNA/MRD.
• Experience with non-inferiority studies.

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Pure Storage, a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team selling into the exciting SLED market of North and South Carolina.

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Pure Storage solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Pure Storage portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Pure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• Candidate must reside in the Raleigh, NC area 
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Preference may be given to candidates with experience in the SLED vertical 
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

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

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About the Role

We are seeking an experienced Senior Software Engineer to join one or more product engineering teams building mission-critical Point of Sale and eCommerce SaaS platforms. This role balances technical execution, hands-on development, and cross-functional collaboration in a highly regulated, high-availability environment.

You will contribute to delivering secure, scalable, and reliable payment solutions while upholding a strong engineering culture.

Key Responsibilities

Technical Execution & Development

• Write, review, and maintain high-quality code across backend, frontend, and/or mobile systems.
• Uphold coding standards and architecture best practices.
• Participate in design and code reviews, contributing constructive feedback to peers.
• Contribute to technical documentation and architectural designs.
• Champion a culture of accountability, quality, and continuous improvement.

Cross-Functional Collaboration

• Communicate technical ideas and plans clearly in team settings.
• Translate product and business goals into well-scoped technical solutions.
• Communicate progress, risks, and tradeoffs to engineering teams and stakeholders.
• Work closely with customer support and operations on merchant-impacting issues.

Delivery & Engineering Excellence

• Partner with Product, Design, Compliance, SRE, and Operations to deliver POS, payment, loyalty, gift card, and other features end-to-end.
• Contribute to sprint planning, delivery predictability, incident follow-ups, and technical debt management.
• Implement and advocate for best practices in code quality, testing, observability, and CI/CD.
• Help guide architectural decisions for high-throughput, low-latency systems.

Cloud-Based Point of Sale & Platform Features

• Inventory Management and PO sync: Items matrices, Vendor Catalog, Purchase Order Management, Multi-store inventory.
• CRM: Customer details capture, purchase history tracking, targeted marketing campaigns, gift card management, and loyalty rewards.
• Sales & Promotions: Custom discounts, bulk pricing, time-sensitive promotions, and bundled offers.
• Reporting & Analytics: Detailed dashboards and exportable reports covering best-sellers, profit margins, and more.
• Employee Management: User roles, time tracking, permissions, and cross-location metrics.
• Payment: Integration with Quilt Payment or external payment providers.
• eCommerce Sync: Integration with Quilt's internal eCommerce module or platforms like Shopify and DoorDash.
• Support platform reliability, uptime, and data integrity for merchants and partners.
• Participate in incident response and post-mortems, contributing to long-term fixes.
• Support PCI DSS, SOC 2, and other compliance requirements.

Required Qualifications

• 5+ years of software engineering experience.
• Hands-on, full-stack development experience with React (frontend) and PHP/MySQL (backend) .
• Experience building and operating SaaS platforms at scale.
• Strong understanding of modern backend systems (APIs, microservices, databases, cloud infrastructure).
• Experience working in regulated or compliance-heavy environments with strong technical documentation practices.
• Effective communicator with the ability to collaborate across teams.

Preferred Qualifications

• Experience with POS systems, eCommerce, or fintech 
• Familiarity with PCI DSS, SOC 2, or financial compliance standards.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Background in distributed systems, event-driven architectures, or real-time transaction processing.

What We Offer

• Opportunity to build software that powers real-world commerce at scale.
• Competitive salary and equity package.
• Comprehensive benefits (health, dental, vision, 401k, etc.).
• Flexible work environment.
• Strong emphasis on engineering quality and career growth.

Location: In-Person: Irvine, CA, Charlotte, NC or Provo, UT
Salary: 115-130k base Salary + Bonus

POSITION SUMMARY: 

Assist direct Manager in overseeing and leading clinical data abstractors and related operations. Partner with the Lead Quality Abstractor, and the team’s software engineers and data management specialists to operationalize end-to-end abstraction, clinical data management workflows and activities, and lending technical support. Serve as the first line of communication and point of escalation amongst the data abstractors. 

PRIMARY RESPONSIBILITIES:

• Front-line Staff Support: Serve as the primary liaison and initial point of escalation for all abstraction/team-related issues, questions, and concerns.

• New Hire Onboarding and Training: Lead training new abstractors and provide ongoing guidance until released into production level activities by supporting the development and implementation of training workflows.  

• Mentoring and Subject Matter Expertise (SME): Provide ongoing clinical guidance and mentorship to existing abstraction team members- fostering professional development. Support maintaining high standards of quality and productivity by evangelizing the utilization of standard of care guidelines. 

• Technical Support: 

  • Lead ongoing clinical and medical guidance to engineering, data management specialists, and technical staff to ensure the development of bug-free data for systems such as Electronic Data Capture Systems (ECDs), applications, and workflows. 

  • Apply Medical Coding and Classification skills to support the creation of data standardization and harmonization rules to ensure clinical data are encoded into machine readable data in one common database schema.

  • Apply Data Management knowledge (e.g., CGDM, GCP) and skills to support establishing logical relationships between clinical events within database schemas and logical rules for ensuring data are accurate, legible, contemporaneous, original, attributable, complete, and consistent for end-to-end ETL workflows. 

  • Apply Technical Skills to translate abstraction and encoding requirements to technical product requirements to support prompt engineering and design activities for all AI and LLM initiatives.  

• Data Abstraction: Advanced level review, interpretation, abstraction and data encoding. Less than 5% of patients require quality review. 

• Quality Assurance and Control: Apply and lead efforts in resolving complex or ambiguous data abstraction questions, ensuring consistent and adherence to established protocols and standards for utilizing real-world data for research, quality monitoring, and regulatory reporting using technical and analytical software such as running MACROs and using Excel/Google Sheets functions and formulas. 

• Protocol Adherence: Support developing and ensuring strict adherence to all project and research protocols, institutional review board requirements, HIPAA regulations, data management best practices (e.g., DAMA, SCDM, ACRP, and SOCRA), and organizational policies regarding patient privacy and data security. 

• Reporting: Track, analyze, and report on key abstraction and staff level metrics to support the assessment of team performance and identify areas for process improvement by gathering and structuring KPIs using software such as Excel, googlesheets Pivot tables, formulas, and functions.                                                                                

• Process Improvement: Collaborate with cross-functional teams to effectively operationalize new abstraction activities, including the rollout of new protocols, standard operating procedures, and policies and technology platforms. 

• Daily Operations: Support direct manager in daily coordination of the clinical data abstraction team's activities and workload distribution.

• Conferences and Certifications: Maintenance of all relevant clinical or technical licensures. Attend conferences relevant to role and clinical field. 

• Other duties and responsibilities to be performed as assigned. 

QUALIFICATIONS: 

• Clinical Background: U. S. licensed Nurse, PA-C, NP, or DNP is required with a Master’s degree in health sciences. Strong understanding of medical terminology, disease processes (especially cancer), standard clinical workflows, and genetic testing.

• Clinical Experience: Minimum of 5-6 years of experience in clinical data abstraction and medical records review, preferably in cancer, women’s health, rare diseases. 

• Lead Experience: Minimum of 2-3 years of direct experience supervising staff or providing team lead support to senior level management. 

• Quality and Compliance: Demonstrated commitment to data integrity, quality control processes, and adherence to HIPAA and other data privacy regulations.

• Technical Proficiency: Proficient with Microsoft Office Suite or Google Suite, creating pivot tables, creating reports, data analysis, and using  systems or databases common in data abstraction, research, or clinical data management.

• Certifications/Industry Expertise: CCDM, CCRP, ACR-P, or CRA preferred.

• Communication: Excellent written and verbal communication skills, with the ability to effectively collaborate with clinical and non-clinical teams.

• Autonomy: Proven ability to work independently, manage time effectively, prioritize and organize tasks, and meet strict productivity and quality deadlines

• General Expertise:

  • Possess a high level of initiative and self-motivation.

  • Team player; can navigate supporting highly visible projects and tasks. 

  • In-depth attention to detail and a fast learner. 

  • Responding to shifting priorities and changes.

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 & Database Reliability Team

We are seeking an experienced and skilled Database Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the optimal performance, scalability, and reliability of our database systems. This role involves collaborating with cross-functional teams, providing technical leadership, and implementing best practices to enhance the overall efficiency of our database infrastructure.

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.

Database Engineers at Collibra are responsible for

• Performance Optimization: Analyze and optimize database performance through monitoring, tuning, and query optimization to ensure optimal response times and efficient resource utilization. Collaborate with our engineering teams to brainstorm, assist with resolution.
• Right Sizing: Conduct capacity planning and forecasting to anticipate future database requirements and ensure scalability. Automate a way to do that sizing with scalability.
• Troubleshooting and Problem Resolution: Diagnose and resolve complex database issues, including performance bottlenecks, scalability problems, and data inconsistencies. Analyze observability data to identify patterns, trends, and potential performance bottlenecks.
• Collaboration: Work closely with developers, system administrators, and other stakeholders to understand application requirements and provide guidance on database-related concerns.
• Automation: Implement automation for repetitive tasks, and performance monitoring to streamline processes and enhance efficiency. Develop and maintain automated solutions for continuous workload analysis at scale, allowing for proactive identification of potential issues.
• Best practices & documentation:  Best practices for developing the overall database architecture, database configurations, processes, and troubleshooting procedures.

You have

• A bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent related working experience is required. Advanced degree preferred.  
• Proven experience as a Database Performance Engineer or similar role with at least 3-5 years of hands-on experience.
• Expertise in database management systems in PostgreSQL and proficiency in SQL. 
• Basic knowledge on GraphDB, Kubernetes, Linux is a good add-on.
• Professional experience in Cloud hosting platforms like AWS and GCP, with a preference for those with managed database experience.
• Knowledge of database architecture, replication, and optimization techniques.
• 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

• Possessing strong analytical and problem-solving skills, capable of troubleshooting complex database issues effectively.
• Familiar with performance monitoring and tuning tools, demonstrating a keen understanding of optimizing database performance.
• A team player with excellent communication and collaboration skills, capable of working closely with developers, system administrators, and various stakeholders.
• Excellent communication and collaboration skills.

Measures of success

Within your first month, you will,

• Familiarize yourself with the existing database infrastructure, understanding its components and intricacies.
• Engage with the cross-functional teams and gain insights into ongoing projects and database-related challenges.
• Initiate communication and collaboration with developers, system administrators, and stakeholders to establish effective working relationships.

Within your third month, you will,

• Have actively contributed to ongoing performance optimization efforts, implementing monitoring, tuning, and query optimization strategies.
• Participate in capacity planning and forecasting exercises, contributing to the scalability of the database systems.
• Demonstrate proficiency in utilizing automation tools to streamline repetitive tasks and enhance overall efficiency.

Within your sixth month, you wil,

• Heavily contribute to database configurations, implementing best practices and troubleshooting procedures.
• Have actively collaborated on the development and maintenance of automated solutions for workload analysis at scale.

These milestones will not only showcase your integration into the team but also highlight your substantial contributions to the optimization and efficiency enhancement of our database infrastructure.

Compensation for this role

The standard base salary range for this position is $104,000 - $130,000 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 equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

Joining Collibra’s Customer Experience Testing Team

We're looking for a talented Software Development Engineer in Test (SDET) who will play a crucial role in ensuring the quality, scalability, and reliability of our software applications. In this role, you will work autonomously to drive quality initiatives, advocate for a shift-left testing approach, and consistently meet high-performance standards.  You will be responsible for testing the installation and deployment of software across multiple cloud providers, as well as  defining, creating, and executing both manual and automated tests for complex customer user journeys. You will experiment with a variety of testing tools, promote quality awareness across the Product and Engineering organization, and build scalable pipelines and frameworks that align with our business environment.

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.

SDETs at Collibra are responsible for

• Defining, creating, and executing manual and automated tests for customer user journeys, ensuring they accurately reflect real-world customer use cases.
• Using, developing, and executing robust automation scripts and scalable frameworks (rather than relying solely on out-of-the-box tools) using Cypress, Playwright, Rest Assured, JMeter, and Selenium.
• Building, maintaining, and integrating automated tests into CI/CD pipelines using GitHub Actions and Jenkins, while managing test environments with containerization technologies (Docker, Kubernetes, Helm).
• Combining strong coding skills with exploratory and manual testing sessions to catch edge cases that automation might miss. You will also define, create, and maintain complex test data.
• Utilizing observability tools (Grafana, Datadog) to analyze test results, identify bottlenecks, and collaborate with system architects and engineers to optimize software and hardware configurations.
• Partnering with Engineering, Product, and Architecture teams to understand customer context, drive shift-left testing practices, and support peers in expanding their testing capabilities.
• Applying the scientific method (observe, research, hypothesize, test, conclude) to systematically break down complex configurations into manageable tasks. You will track issues to resolution, report on quality metrics, and integrate emerging trends to enhance ROI.

You have

• 4+ years of experience in software testing and test automation, preferably within a SaaS or enterprise software environment.
• A bachelor’s degree in a related field or equivalent working experience.
• Strong programming skills in Java, Python, and/or JavaScript/TypeScript to build custom testing infrastructure.
• Hands-on experience with industry-standard test automation tools (Cypress, Playwright, Selenium, Rest Assured, JMeter, etc.).
• Strong understanding of DevOps principles and CI/CD pipelines (GitHub Actions, Jenkins, Gradle). Experience working with Cloud platforms (AWS, Google Cloud) and containerization technologies (Docker, Kubernetes). Familiarity with GovCloud/FedRAMP environments is a strong plus.
• A critical mindset to discern what to automate and what not to, strategically sampling critical tests with a focus on balancing risk, cost, and value.
• Strong analytical capabilities to identify flaws in the testing process, toolset, or infrastructure, and the ability to propose and drive necessary improvements.
• This position is not eligible for visa sponsorship.
•  A bachelor’s degree or equivalent related working experience is required.

You are

• Because this role will support the US government, it is required candidates be a US citizen who resides on US soil.
• An independent, critical thinker who possesses natural curiosity, keen attention to detail, and the ability to act as a solution-oriented professional who uses out-of-the-box thinking to solve real-world performance challenges.
• A collaborative communicator who can demonstrate open, clear, and effective communication (verbal, technical, and written) and enjoys collaborating with globally distributed, cross-functional teams.
• Keen to explore how you can utilize AI tools and coding assistants to increase efficiency in testing and automation.
• Accustomed to working in an Agile/Kanban environment, you can prioritize workloads and see the big picture when troubleshooting quality issues.
• Passionate about expanding testing awareness across the engineering department and mentoring your peers to elevate the team's overall quality standards.

Measures of success

• Within your first month: You will complete onboarding, establish your local development environment, and gain a foundational understanding of our testing framework architecture and core customer user journeys.
• Within your third month: You will be actively delivering robust automation scripts and integrating these tests into our CI/CD pipelines to ensure continuous quality feedback.
• Within your sixth month: You will lead the end-to-end automation strategy for critical user journeys, utilizing observability data to proactively eliminate bottlenecks and drive measurable improvements in overall application quality and customer satisfaction.

Compensation for this role

The standard base salary range for this position is $116,000.00 - $145,000.00 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 a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

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

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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.

About Us

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.

The Role:

We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans.

You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success.

The work you’ll do:

• Lead and define the overall architecture, data and cloud strategy for our largest client accounts
• Confidently engage with customers C level their strategic objectives with the Celonis technical strategy
• Drive innovation by identifying and architecting solutions that leverage emergent technologies, including Agentic AI.
• Be the bridge between our product & engineering teams within Celonis with the clients teams to provide the best technical services for our clients
• Assess our customer installed base IT landscape maturity for the region
• Participate in pre-Sales and post-Sales phases, engaging with customer Architecture and security teams
• Coach and guide Celonis consulting teams and ecosystem partners on technical implementation related issues (architecture, integration, performance and scalability)
• Develop re-usable assets for the consulting teams on projects
• Develop customer facing position papers, assets and thought leadership presentations on architecture and innovation with Celonis
• Creation of technical designs and presentations for internal and client stakeholders

The qualifications you need:

• 10 to 15 years of relevant experience (Software vendor Architect, Top consulting firms CTO or Enterprise Architect at a customer)
• Proven ability to think strategically, connecting technical solutions to business value and customer objectives.
• Strong background in Data Architecture, Integrations patterns, and Development background in data related languages (SQL, Python...)
• Excellent written and verbal communication skills
• Excellent presentation and creativity skills
• You can comfortably switch from explaining an architecture diagram to an environment where you coded/assembled a demo of the architecture
• Strong technical background with a focus on system integrations, data operations and automation capabilities
• Strong understanding of cloud native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM,ServiceNow, etc..), cybersecurity posture fundamentals, API ecosystems and legacy on-premise enterprise architectures
• Fluency in English, an additional language such as Spanish, French or Italian is a strong advantage 
• MSc degree in Computer Science or equivalent in Information Technology related field

Preferred:

• Celonis Certifications and Experience with OCPM and Case Centric Data Pipelines
• AWS/Azure/GCP Certifications
• ESB / ETL Certifications (Mulesoft,Oracle,SAP,Talend, Informatica, etc..)
• Experience in at least 2 domains among: Finance, Manufacturing, Supply Chain, Customer/Consumer Management (Service,Order Management, Sales),HR,Procurement.
• Experience in at least 2 industries among: Consumer Goods, Banking, Pharma, Aerospace,Telco, and Transport.

#LI-DB5

#LI-DP1

#LI-DP1

FEQ227R255

Mission

The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks' Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers' most critical business challenges across Financial Services sub-verticals.

This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks. 

The Impact You Will Have

• Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)
• Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry  assets, and determine prioritization of asset creation including build-vs-partner decisions
• Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations 
• Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy
• Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates
• Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.

What We Look For

• Technical Expertise: 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP)
• Deep domain expertise in Financial Services — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)
• Proven ability to develop and execute industry-specific GTM strategies — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas
• Cross-Functional Partnerships: Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator
• Leadership & Enablement: Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques).
• Excellent communication and storytelling skills — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers
• Education: Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)

Company Overview:

Protara Therapeutics is a clinical-stage biotechnology company committed to advancing transformative therapies for people with cancer and rare diseases. Protara’s portfolio includes its lead candidate, TARA-002, an investigational cell-based therapy in development for the treatment of non-muscle invasive bladder cancer (NMIBC) and lymphatic malformations (LMs). The Company is evaluating TARA-002 in an ongoing Phase 2 trial in NMIBC patients with carcinoma in situ (CIS) who are unresponsive or naïve to treatment with Bacillus Calmette-Guérin (BCG), as well as a Phase 2 trial in pediatric patients with LMs. Additionally, Protara is developing IV Choline Chloride, an investigational phospholipid substrate replacement for patients on parenteral support who are otherwise unable to meet their choline needs via oral or enteral routes.

Protara was named one of the Best Places to Work by BioSpace, a leading industry news and job source. This honor demonstrates the company’s desirability in the recruitment marketplace, looking at various merits with an emphasis on culture, career growth and development opportunities, leadership and innovation.  Attracting and retaining top talent is integral to building a successful company in biotech, and we are committed to ensuring Protara provides our employees with an exceptional experience throughout their careers, even as we continue to grow.

This role is based on site in Winston Salem, North Carolina.

The Vice President, Quality and Regulatory will report to the Chief R&D Officer and will assume leadership of the following duties:

Job Overview: 

• Oversight and management of all quality systems. 

• Sign-off of batch and material release documentation. 

Essential Duties and Responsibilities: 

• Lead and evolve the CDMO’s Quality Compliance strategy for applicable GMP manufacturing operations, ensuring readiness for both clinical and commercial production. 

• Ensure full alignment with GMP, GLP, and GCP standards, which govern manufacturing, preclinical testing, and clinical‑trial‑related material production, respectively. 

• Ensure regulatory compliance across manufacturing, documentation, data integrity, and quality systems per globally recognized regulatory standards. 

• Oversee QA, QC, and Quality Systems, including deviations, CAPAs, change controls, risk management, stability oversight, and analytical method validation support. 

• Build a robust Quality Management System (QMS) aligned with CDMO best practices: SOP governance, GMP adherence, and ongoing process monitoring. 

• Partner closely with Technical Operations, Regulatory Affairs, and Analytical Development to ensure that process development, and manufacturing adhere to quality standards. 

• Support phase‑appropriate Quality/Regulatory needs including documentation, regulatory submissions, and quality governance. 

Qualifications: 

• Proven expertise in audit management, inspection readiness, CAPA governance, deviation management, and quality risk management systems. 

• Strong command of global regulatory frameworks, including expectations in data integrity, documentation, and GxP compliance. 

Education and/or Experience: 

• Advanced degree (Master’s or PhD) in Pharmaceutics, Biochemistry, Biochemical Engineering, Microbiology, or related life science fields preferred.  

• 20+ years of progressive Quality leadership experience in GMP‑regulated biologics/pharmaceutical manufacturing, including microbial or bacterial system experience. 

• Significant experience in clinical and commercial readiness, including scale‑up, process validation, regulatory inspections, and marketing ‑authorization support. 

Physical Demands:  

The physical demands here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

 Average travel for this position is 20% with some variations based on the demands of the business needs.

• Must be willing to travel to New York City office as needed.

Work Environment: 

 The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

• No specific work demands.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Why You’ll Love Working at Protara

• Friendly, open, and fun team-oriented culture that values unique & diverse perspectives.
• Company-wide dedication to profoundly impacting patients’ lives.
• Amazing culture whereby our core values and behaviors are shared cross-functionally.
• Flexible working hours/schedule.
• Generous Paid Holidays and Unlimited PTO.

Protara is committed to being a diverse and inclusive workplace. Protara is an Equal Opportunity Employer and is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, creed, religion, national or ethnic origin, citizenship status, age, sex or gender, gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information or any other characteristic protected by applicable federal, state or local laws.

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.)

We're looking for an Engineering Manager I to lead one of our autonomous feature squads. You'll own the day-to-day engineering leadership of a cross-functional team (1 PM, 1 Designer, 4–5 engineers) responsible for a meaningful area of the Shopmonkey platform. This is not a "project manager with an engineering title" role. You are technical, you are in the code, and you care deeply about how software gets built — not just that it ships. You won't be on the critical path for planned project work, but you'll be deeply involved in guiding your team through every phase of the SDLC: scoping, design, implementation, testing, release, and iteration. Your job is to make your team faster, sharper, and more effective — by coaching, unblocking, and identifying the gaps nobody else sees. You'll also contribute directly to the codebase. Not as a primary feature developer, but as a force multiplier — proactively improving code quality, tackling the work that falls between the cracks, and leading by example when it matters.

Our platform is built on two primary monorepos (backend and frontend) using TypeScript throughout. The stack includes React, Node.js, Next.js, Redux, and Redis on the application side; CockroachDB and ClickHouse for data; Synadia NATS for messaging; and GCP for infrastructure. We use OpenTelemetry and Prometheus for observability, with supporting services in TypeScript and Go. We don't expect expertise across all of these — we're looking for strong fundamentals and the ability to learn quickly.

What you will do:

• Lead a feature squad end-to-end: people, process, and technical direction.
• Own performance management for your engineers — regular 1:1s, growth conversations, honest feedback, and formal reviews.
• Partner closely with your PM and Designer to shape quarterly project plans that balance customer value, technical health, and business impact.
• Guide your team through the full SDLC — you should be competent and opinionated at every stage, from system design through production observability.
• Contribute to the codebase as a technical force multiplier: filling gaps, improving quality, and modeling engineering standards.
• Operate within our quarterly planning and 2-week cycle cadence, helping your squad maintain focus and predictability.
• Build and maintain a healthy remote-first team culture — clear communication, strong async habits, and flexibility balanced against team needs.
• Participate in hiring — sourcing, interviewing, and closing engineering talent for your squad and the broader org.

We are looking for people who have:

• 2+ years of formal engineering management experience, leading a team of software engineers through shipping production software.
• A strong technical foundation — you've built and operated production systems and can earn credibility with senior ICs through your technical judgment.
• Proven ability to coach and develop engineers across multiple levels.
• High emotional intelligence and communication skills. You navigate ambiguity, give hard feedback with care, and build trust quickly — especially important in a remote environment.
• Sound business judgment — you understand why the team is building what it's building, and you push back when priorities don't make sense.
• Experience working in cross-functional product teams (PM, Design, Engineering).
• Comfort with remote-first work across time zones. You value flexibility but put team needs first.

In the United States, the range is typically a salary of $145,000 to $180,000 + 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.

The Role:

We are looking for a visionary and strategic Field CTO with a "learn-it-all" mindset to serve as a high-impact technical advisor for our most strategic prospects and customers. In this role, you will act as a peer to client executives, translating complex business transformations into scalable technical strategies. You will drive innovation by championing Process Intelligence ,Agentic AI and Enterprise Modernization, ensuring our technology aligns with the evolving needs of the global market.

The work you’ll do:

• Executive Advisory: Serve as a trusted advisor to C-level executives, aligning their long-term strategic goals with the Celonis technical vision.
• Strategic Architecture & Roadmap: Lead the overarching data, cloud, and innovation strategy for our largest global accounts, utilizing methodologies like Capability Mapping to identify high-value opportunities.
• Innovation Leadership: Architect "first-of-a-kind" solutions using emergent technologies like Agentic AI to solve complex enterprise challenges.
• Sales & Business Impact: Partner with Sales and Value Engineering driving revenue through new customer acquisition and strategic up-selling.
• Product Advocacy: Act as a critical feedback loop between our Product & Engineering teams and the market, ensuring the voice of the customer shapes our future offerings.
• Thought Leadership: Develop and deliver customer-facing position papers, assets, and presentations that establish our brand as a leader in architecture and innovation.

The qualifications you need:

• Experience: 15 to 20 years of relevant experience, ideally having served as a CTO at a consulting firm, as Field CTO at a software vendor, or Director/VP of Enterprise Architecture within a major corporation.
• Strategic Communication: Proven track record of presenting complex technical visions to C-suite stakeholders in a way that emphasizes business value.
• Modernization Expertise: Deep experience in Enterprise Modernization, EA Methodologies, and a robust understanding of Agentic AI.
• Technical Versatility: Ability to pivot from high-level architecture diagrams to hands-on demo.
• Technical Foundation: Excellent background in Data Architecture, API ecosystems, and cloud-native SaaS solutions like Salesforce and ServiceNow. 
• ERP/Domain: Strong knowledge of at least one ERP SAP or Oracle or in alternative strong domain expertise in high regulated industries like Financial Services.
• Education: MSc degree in Computer Science or an equivalent IT-related field.

Preferred:

• Tech Stack: Celonis, OCPM and Case Centric Data Pipelines.
• Certifications: TOGAF/Zachmann , AWS/Azure/GCP , and ESB/ETL certifications (e.g., Mulesoft, Informatica).
• Industry Breadth: Experience across at least two domains (e.g., Finance, Supply Chain) and two industries (e.g., Pharma, Banking, Aerospace)

Visa sponsorship is not offered for this role.

#LI-DB5

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

WHAT WE DO

Our AI and Technology consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

The ideal candidate’s experience may include but is not limited to the following:

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity, and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings